Keywords
Keywords and subject tags collected from Zenodo records.
Research Domain
Climate Impacts & Vulnerabilities - Research Domain II
- Discharge simulations for the Blue Nile at gauge El Diem based on uncorrected and bias-corrected GCM and RCM inputs
- ISIMIP2b Bias-Correction Code
- openclimatedata/pymagicc: v1.0.2
- openclimatedata/pymagicc: v1.1.0
- Acclimate - Model for economic loss propagation. acclimate v3.0.0 (Version v3.1.0)
- openclimatedata/pymagicc: v1.2.0
- Human and economic losses from river flooding with anthropogenic warming [Data set]
- pyhector - Python interface for the simple global climate carbon-cycle model Hector
- Bias corrected GCM input data for ISIMIP Fast Track
- The PRIMAP-hist national historical emissions time series (1850-2014)
- EartH2Observe, WFDEI and ERA-Interim data Merged and Bias-corrected for ISIMIP (EWEMBI)
- The PRIMAP-hist national historical emissions time series (1850-2014) - V. 1.1
- Continuous national Gross Domestic Product (GDP) time series for 195 countries: past observations (1850-2005) harmonized with future projections according the Shared Socio-economic Pathways (2006-2100)
- A global data set of tropical cyclone exposure (TCE-DAT)
- Spatially-explicit Gross Cell Product (GCP) time series: past observations (1850-2000) harmonized with future projections according to the Shared Socioeconomic Pathways (2010-2100)
- A global data set of spatially-explicit tropical cyclone exposure (TCE-DAT)
- ISIMIP2a Simulation Data from Water (global) Sector
- A data collection of tropical cyclone exposure data sets (TCE-DAT)
- PRIMAP-crf: UNFCCC CRF data in IPCC 2006 categories. V. 1.0
- The PRIMAP-hist national historical emissions time series (1850-2015) - V. 1.2
- Bias-corrected CORDEX precipitation, min/mean/max temperature for Ethiopia, RCP 4.5 and RCP 8.5
- A global gridded data set on tillage. V. 1.0
- A global gridded data set on tillage - R-code. V. 1.0
- AgMIP - Food insecurity and global climate change mitigation policy
Director / Executive Staff / Science & Society
- Data accompanying article: A planetary boundary for green water
- All options, not silver bullets, needed to limit global warming to 1.5 °C: a scenario appraisal: parameter table
- Data repository - Dietary shifts increase the feasibility of 1.5°C pathways
- Model output for: 'Feeding ten billion people is possible within four terrestrial planetary boundaries'
Director Emeritus / Executive Staff / Science & Society
- Data repository - Transition to timber cities can help reduce carbon emissions without increasing competition for land
- All options, not silver bullets, needed to limit global warming to 1.5 °C: a scenario appraisal: parameter table
- Model output for: 'Feeding ten billion people is possible within four terrestrial planetary boundaries'
Earth Resilience Science Unit - ERSU
- PISM-VILMA glacial cycle simulations of the Antarctic Ice Sheet coupled to the solid Earth and global sea level [dataset]
- Example models of land management based on copan:LPJmL
- Model of integrated social-ecological resilient land systems (InSEEDS)
- copan:LPJmL, an advanced World-Earth modeling framework extending copan:CORE, integrating LPJmL as the Earth system interface for comprehensive social-ecological simulations
- pycopancore: Reference implementation of the copan:CORE World-Earth modelling framework
Earth System Analysis - Research Domain I
- Data from: Two-thirds of global cropland area impacted by climate oscillations
- openclimatedata/pymagicc: v1.0.2
- pism/pik/paleo_07dev: PISM version as used in Kingslake, Scherer, Albrecht et al. Nature publication (Version pik-holocene-gl-rebound).
- pism/pik/pico_dev: PISM+PICO version as used in Reese et al. The Cryosphere publication
- openclimatedata/pymagicc: v1.1.0
- openclimatedata/pymagicc: v1.2.0
- pycopanpbcc - Python scripts for analyzing Planetary Boundaries in a conceptual model of the Earth's Carbon Cycle including geoengineering by terrestrial carbon dioxide removal
- pycopanbehave - Python implementation of COPAN:BEHAVE model of co-evolving behavior selection and social network dynamics
- pyregimeshifts - Python scripts for detecting nonlinear regime shifts in multiple time series
- Ice-shelf surface, basal and bedrock topography data for the second Ice Shelf-Ocean Model Intercomparison Project (ISOMIP+)
- ISIMIP2a Simulation Data from Water (global) Sector
- PISM simulation results of the Antarctic Ice Sheet deglaciation
RD1 - Earth System Analysis
- Numerical simulations of the (de)stabilization of the West Antarctic Ice Sheet
- PISM glacial cycle sensitivity experiments of the Antarctic Ice Sheet
- PISM parameter ensemble analysis of Antarctic Ice Sheet glacial cycle simulations
- PISM parameter ensemble analysis of Antarctic Ice Sheet glacial cycle simulations - additional data
- PISM-VILMA glacial cycle simulations of the Antarctic Ice Sheet coupled to the solid Earth and global sea level [dataset]
- Supplementary data, code, and information for ‘The likelihood of recent warmth’ (Nature Scientific Reports, Mann et al. 2016))
- LPJmL: central open-source github repository of LPJmL at PIK
- Open-Source Stand-Alone Version of Atmospheric Model Aeolus 2.0 Software
- Data set for the study "Interplay between climate and carbon cycle feedbacks could substantially enhance future warming"
- boundaries: Planetary Boundary Status based on LPJmL simulations
- Data set for the study "Assessing the lifetime of anthropogenic CO2 and its sensitivity to different carbon cycle processes"
- Data set for the study "Timing of a future glaciation in view of anthropogenic climate change"
- LPJmL for InSEEDS and further copan:LPJmL models
- Example models of land management based on copan:LPJmL
- Model of integrated social-ecological resilient land systems (InSEEDS)
- pycoupler: dynamic model coupling of LPJmL
- copan:LPJmL, an advanced World-Earth modeling framework extending copan:CORE, integrating LPJmL as the Earth system interface for comprehensive social-ecological simulations
- pycopancore: Reference implementation of the copan:CORE World-Earth modelling framework
- pism_pik_1.0: PISM version as used in Albrecht, Winkelmann and Levermann, The Cryosphere (Version pism_pik_1.0)
- PISM ensemble scoring: Parameter ensemble analysis tools as used in Albrecht et al., The Cryosphere (Version v1.0)
- wbarfuss/EcoPG: Release for reference in publication (Version v1.0.0)
- Data and code for publication "The role of history and strength of the oceanic forcing in sea level projections from Antarctica with the Parallel Ice Sheet Model" (Version v1)
- Results of the AbuMIP experiments: The Antarctic BUttressing Model Intercomparison Project
- Scripts for "ISMIP6 Antarctica: a multi-model ensemble of the Antarctic ice sheet evolution over the 21st century"
- PISM version as used in Garbe et al. (Nature, 2020) publication (Version v1.0-hysteresis-antarctica)
- Kreuzer, Moritz. (2020). Input Data as used in Kreuzer et al., Geoscientific Model Development publication (gmd-2020-230) (Version v1.0.2)
- PISM-MOM_coupling: v1.0.2
- pik-copan/pycascades: pycascades release with model description paper submission
- Output data for the GMD publication gmd-2020-436
- Model code for the GMD publication gmd-2020-436 (1.0)
- Model outputs of LPJmL4.0-VR, LPJmL4.0-VR-base and LPJmL4.0 as used in Sakschewski et al. 2021 (https://doi.org/10.5194/bg-2020-97)
- Model code of LPJmL4.0-VR as used in Sakschewski et al. 2021 (https://doi.org/10.5194/bg-2020-97)
- Analysis code and data used in Kitzmann et al. (EPJ-ST, 2022)
- Data accompanying article: A planetary boundary for green water
- Original source code as used in Werner et al. "Land-neutral negative emissions through biochar-based fertilization – global potentials driven by management and pyrolysis conditions" -- submitted to Mitigation and Adaptation Strategies for Global Change
- Data for Beringer et al.: CO2 fertilization effect may balance climate change impacts on oil palm cultivation
- Data for Drüke et al. 2023, Communication Earth and Environment
- Model Code and Scripts for Drüke et al. 2023, Communication Earth and Environment
- Data for Richardson et al. 2023, Science Advances
- Water variability dictates critical precipitation for the Amazon forest based on LPJmL model
- Model output for the publication: 'On the sensitivity of the Devonian climate to continental configuration, vegetation cover, orbital configuration, CO_2 concentration and insolation'
- Data sets for the identification of a global typology for coastal urban vulnerability under rapid urbanization
- Model output for: 'Feeding ten billion people is possible within four terrestrial planetary boundaries'
- LPJmL-FIT in Europe. V. 1
- Model output for the publication: 'Climatic fluctuations modeled for carbon and sulfur emissions from end-Triassic volcanism'
- Model data for simulations of ocean biogeochemistry after the Chicxulub impact
- Data from Climate Model Ensemble Simulations for the Mesozoic Climate Evolution. V. 2021-02-04
- Model output for aerosol-induced cooling after the Chicxulub impact
- Monsoon Planet: simulation data to examine monsoon dynamics with idealized topography
- Simulation data for tracing snowball bifurcation on an earth-like aquaplanet over 4 billion years
- A dataset to explore the influence of functional diversity for long-term forest biomass across six European regions using the model LPJmL-FIT
RD2 - Climate Resilience
- Bias Adjusted CORDEX-EUR11 Simulations
- ISIMIP2a Simulation Data from the Regional Forests Sector (v1.0)
- WFDE5 over land merged with ERA5 over the ocean (W5E5 v2.0)
- CHELSA-W5E5 v1.0: W5E5 v1.0 downscaled with CHELSA v2.0
- Set of R scripts for GGCMI data processing as used in "Müller et al. 2023: Substantial differences in crop yield sensitivities between models call for functionality-based model evaluation"
- LPJmL: central open-source github repository of LPJmL at PIK
- pik-piam/magclass: magpie_expand 2.1 [magclass: Data Class and Tools for Handling Spatial-Temporal Data]
- magpiemodel/magpie: MAgPIE 4.1
- A livestock density input for LPJmL
- Scenario simulation results of LPJmL within the EU project Re-Livestock in WP6 for inclusion in circular farming system modelling
- LPJmL for InSEEDS and further copan:LPJmL models
- Example models of land management based on copan:LPJmL
- LPJmL5.0-tillage: Original source code as used in Lutz et al., 2019: submitted to Geosci. Model Dev.
- Model outputs of LPJmL4.0-VR, LPJmL4.0-VR-base and LPJmL4.0 as used in Sakschewski et al. 2021 (https://doi.org/10.5194/bg-2020-97)
- Model code of LPJmL4.0-VR as used in Sakschewski et al. 2021 (https://doi.org/10.5194/bg-2020-97)
- Model Output data for Wirth et al., 2021: Do details matter? Disentangling the processes related to plant species interactions in two grassland models of different complexity
- Data repository - Substitution of ruminant meat with microbial protein in forward-looking global land-use scenarios towards 2050
- Data repository - Integrating Degrowth and Efficiency Perspectives to Enable an Emission- neutral Food System
- Data repository - Transition to timber cities can help reduce carbon emissions without increasing competition for land
- Bias adjusted and statistically down-scaled ISIMIP3b for historical and hist-nat experiments over Central Asia
- MAgPIE model input data sets: Climate change-driven global land-use system adaptation under CMIP6-based crop model projections
- MAgPIE model runs outputs: Climate change-driven global land-use system adaptation under CMIP6-based crop model projections
- Code for LandInG v.1.0 sample application at 5 arc-minute and 30 arc-minute resolution
- Data for Beringer et al.: CO2 fertilization effect may balance climate change impacts on oil palm cultivation
- LPJmL4 and LPJmL5 source code for FSEC Food Systems Transformation assessment
- Data for publication: A food system transformation can enhance global health, environmental conditions and social inclusion
- Start and plotting scripts: Climate change-driven global land-use system adaptation under CMIP6-based crop model projections
- Data repository - Dietary shifts increase the feasibility of 1.5°C pathways
- The PROFOUND database for evaluating vegetation models and simulating climate impacts on forests
- A global gridded data set on tillage (V. 1.1)
- A global gridded data set on tillage - R-code (V. 1.1)
- Data and R-scripts for Dynamic Identifiability Analysis of Process-based Hydrological Model Structures
- A New Process-based Model Engine for the Eco-hydrological Simulation Environment (ECHSE)
- Model output for: 'Feeding ten billion people is possible within four terrestrial planetary boundaries'
- The PROFOUND database for evaluating vegetation models and simulating climate impacts on European forests. V. 0.3
- Rain for Peru and Ecuador (RAIN4PE). V. 1.0
- BASD-CMIP6-PE: bias-adjusted and statistically downscaled CMIP6 projections over Peru and Ecuador
RD3 - Transformation Pathways
- High resolution climate data for Europe
- HERA: a high-resolution pan-European hydrological reanalysis (1950-2020)
- Data and code for “Climate economics support for the UN climate targets.”
- WFDE5 over land merged with ERA5 over the ocean (W5E5 v2.0)
- Secondary ISIMIP3b bias-adjusted atmospheric climate input data
- CHELSA-W5E5 v1.0: W5E5 v1.0 downscaled with CHELSA v2.0
- ISIMIP3b bias-adjusted atmospheric climate input data (v1.1)
- ISIMIP3a atmospheric climate input data
- Results dataset for research paper "Ultra-long-duration energy storage anywhere: methanol with carbon cycling"
- Data collection for the study "Human displacements from Tropical Cyclone Idai attributable to climate change"
- Water levels at tide gauges from: Reconstruction of hourly coastal water levels and counterfactuals without sea level rise for impact attribution
- Source code of: Reconstruction of hourly coastal water levels and counterfactuals without sea level rise for impact attribution
- mrremind: MadRat REMIND Input Data Package
- Potsdam Interactive Webapp (PIW) framework library
- POSTED: Potsdam open-source techno-economic database
- REMIND - REgional Model of INvestments and Development (3.3.0)
- pik-piam/magclass: magpie_expand 2.1 [magclass: Data Class and Tools for Handling Spatial-Temporal Data]
- NGFS Climate Scenarios Data Set
- magpiemodel/magpie: MAgPIE 4.1
- REMIND - REgional Model of INvestments and Development (3.4.0)
- REMIND - REgional Model of INvestments and Development (3.5.0)
- The PRIMAP-hist national historical emissions time series (1750-2024) v2.7
- REMIND - REgional Model of INvestments and Development (3.5.2)
- piamValidation: Validation Tools for PIK-PIAM
- Residential exposure to natural hazards in Europe, 2000–2024
- REMIND-MFA input data
- Acclimate - Model for economic loss propagation. acclimate (Version v3.2.0)
- pyhector (Version v2.4.0.0)
- ISIMIP3BASD (Version 2.0)
- Climate change impact and mitigation cost data - The economically optimal warming limit of the planet (Version v1.0)
- Country resolved combined emission and socio-economic pathways based on the RCP and SSP scenarios (Version 1.0)
- Code related to "Implications of non-linearities between cumulative CO2 emissions and CO2-induced warming for assessing the remaining carbon budget" (Version v0.2.0)
- UNFCCC Emissions data from the Detailed Data By Party interface
- PRIMAP-crf: UNFCCC CRF data in IPCC categories (PRIMAP-crf-2019-v2) (Version 2019v2)
- UNFCCC country-submitted greenhouse gas emissions data until 2020-10-25
- NDCmitiQ: a tool to quantify and analyse GHG mitigation targets
- Electrolyser CAPEX and efficiency data for: Potential and risks of hydrogen-based e-fuels in climate change mitigation
- UNFCCC country-submitted greenhouse gas emissions data until 2021-06-28
- pik-primap/primap2: PRIMAP2 Version 0.7.1
- Impact of declining renewable energy costs on electrification in low emission scenarios - Scenario Data
- pik-primap/climate_categories: climate_categories Version 0.6.3
- UNFCCC country-submitted greenhouse gas emissions data until 2021-12-03
- Data repository - Substitution of ruminant meat with microbial protein in forward-looking global land-use scenarios towards 2050
- Data repository - Integrating Degrowth and Efficiency Perspectives to Enable an Emission- neutral Food System
- Model results of reduced wood harvest and forest protection scenarios using MAgPIE 4.3.5
- Ergänzende Daten zum Ariadne Report "Deutschland auf dem Weg zur Klimaneutralität 2045 - Szenarien und Pfade im Modellvergleich"
- Data repository - Transition to timber cities can help reduce carbon emissions without increasing competition for land
- MAgPIE model - Transition to timber cities can help reduce carbon emissions without increasing competition for land
- Residential exposure to natural hazards in Europe, 2000–2020
- HANZE v2.0 exposure model input data
- REMIND - REgional Model of INvestments and Development (3.0.0)
- REMIND - DIETER coupling (v1.1)
- Realizing COP26's declaration on deforestation protects forests at the expense of non-forest land
- The PRIMAP-hist national historical emissions time series (1750-2021) v2.4
- MAgPIE model input data sets: Climate change-driven global land-use system adaptation under CMIP6-based crop model projections
- MAgPIE model runs outputs: Climate change-driven global land-use system adaptation under CMIP6-based crop model projections
- UNFCCC country-submitted greenhouse gas emissions data until 2022-12-13
- pik-primap/primap2: PRIMAP2 Version 0.9.5
- HANZE v2.0 exposure model
- Stressed economies respond more strongly to climate extremes - Data and Code Supplement
- Data and code for the publication "Risk management under climate change and its implication on technical efficiency: Evidence from Senegal"
- acclimate - geographic transportation module
- Model run and scenario data for study "Bioenergy-induced land-use change emissions with sectorally fragmented policies"
- 'Projected Landscape-scale Repercussions of Global Action for Climate and Biodiversity Protection' - model outputs
- Pan-European exposure maps and uncertainty estimates from HANZE v2.0 model, 1870-2020
- Data for publication: A food system transformation can enhance global health, environmental conditions and social inclusion
- All options, not silver bullets, needed to limit global warming to 1.5 °C: a scenario appraisal: parameter table
- Scripts to replicate "The Social Cost of Tropical Cyclones"
- Input data to replicate "The Social Cost of Tropical Cyclones"
- Start and plotting scripts: Climate change-driven global land-use system adaptation under CMIP6-based crop model projections
- Extreme weather impacts do not improve conflict predictions in Africa
- Input data for: Reconstruction of hourly coastal water levels and counterfactuals without sea level rise for impact attribution
- Data repository - Dietary shifts increase the feasibility of 1.5°C pathways
- COP26 4.6.9 Data
- The PRIMAP-hist national historical emissions time series (1850-2016). V. 2.0
- EartH2Observe, WFDEI and ERA-Interim data Merged and Bias-corrected for ISIMIP (EWEMBI). V. 1.1
- The PROFOUND database for evaluating vegetation models and simulating climate impacts on forests
- The PRIMAP-hist national historical emissions time series (1850-2017). V. 2.1
- The PRIMAP-hist Socio-Eco national historical GDP and population time series v2.1, (1850 - 2017). V. 2.1
- WFDE5 over land merged with ERA5 over the ocean (W5E5). V. 1.0
- The PROFOUND database for evaluating vegetation models and simulating climate impacts on European forests. V. 0.3
- rOpenscmRunner: Run different simple climate models from R using a unified interface
RD4 - Complexity Science
- Numerical simulations of the (de)stabilization of the West Antarctic Ice Sheet
- Extended generalized recurrence plot quantification of complex circular patterns
- A bibliographic view on the recurrence plots and recurrence quantification analysis
- AmbientForcing.jl
- NetworkDynamics.jl
- Global crop-specific N2O emissions dataset in 2050 and 2100 under SSP-RCP scenarios at 0.05° resolution
- PIKART: A Comprehensive Global Catalog of Atmospheric Rivers
- Approximate Recurrence Quantification Analysis apRQA
- RQA for very long data series RQA_openMP
- NetworkDynamics.jl
- Comparison of calculation speed for recurrence plots/ recurrence quantification analysis for MATLAB, R, Python, and Julia
- REMIND-MFA input data
- Acclimate - Model for economic loss propagation. acclimate (Version v3.2.0)
- pyhector (Version v2.4.0.0)
- pycopancore: Reference implementation of the copan:CORE World-Earth modelling framework
- Data and code for publication "The role of history and strength of the oceanic forcing in sea level projections from Antarctica with the Parallel Ice Sheet Model" (Version v1)
- Results of the AbuMIP experiments: The Antarctic BUttressing Model Intercomparison Project
- Scripts for "ISMIP6 Antarctica: a multi-model ensemble of the Antarctic ice sheet evolution over the 21st century"
- PISM version as used in Garbe et al. (Nature, 2020) publication (Version v1.0-hysteresis-antarctica)
- Kreuzer, Moritz. (2020). Input Data as used in Kreuzer et al., Geoscientific Model Development publication (gmd-2020-230) (Version v1.0.2)
- PISM-MOM_coupling: v1.0.2
- Data and code for the publication "Day-to-day temperature variability reduces economic growth" (Version 1)
- DOSE - The MCC-PIK Database Of Subnational Economic output
- Predicting Dynamic Stability of Power Grids using Graph Neural Networks
- Data and code for the publication "The effect of rainfall changes on economic production"
- Economic losses from hurricanes cannot be nationally offset under unabated warming - Data Supplement
- Ambient Forcing: Sampling Local Perturbations in Constrained Phase Spaces / CODE
- Data and MATLAB Code for Reproducing RPs and RQA of Westerhold et al, Science, 369, 2020
- Trends in recurrence analysis of dynamical system
- Difference recurrence plots for structural inspection using guided ultrasonic waves
- Paper companion: Towards dynamic stability analysis of sustainable power grids using graph neural networks (Neurips Workshop Climate Change AI)
- Edit distance based recurrence plot for event time series
- Power spectral estimate for discrete data
- Code for the publication "DOSE - Global data set of reported sub-national economic output"
- Stressed economies respond more strongly to climate extremes - Data and Code Supplement
- acclimate - geographic transportation module
- Acquisition and analysis of grey scale data from stalagmites using ImageJ software
- Interpolation and sampling effects on recurrence quantification measures
- Water variability dictates critical precipitation for the Amazon forest based on LPJmL model
- Data sets for the identification of a global typology for coastal urban vulnerability under rapid urbanization
- Monsoon Planet: simulation data to examine monsoon dynamics with idealized topography
RD5 - Climate Economics and Policy - MCC Berlin
- NACSOS platform for large-scale AI-assisted systematic maps
- Data and code for the paper "Attention, sentiments and emotions towards emerging climate technologies on Twitter"
- Tweets on carbon dioxide removal
- TimRepke/twitter-cdr: Release
- Tidy GHG Inventories
- MRIO Toolbox
- Stopping method evaluation results
- Data set of German coal power stations for coal phase out auctions
- Tweets containing "climate change" with topic annotations
Sustainable Solutions - Research Domain III
- pik-piam/magpie4: Release of version 0.107.3
- pik-piam/gdx: Release of version 1.42.1 (Version v1.42.1)
- openclimatedata/pymagicc: v1.0.2
- openclimatedata/pymagicc: v1.1.0
- Acclimate - Model for economic loss propagation. acclimate v3.0.0 (Version v3.1.0)
- openclimatedata/pymagicc: v1.2.0
- pik-piam/goxygen: Initial release. Version v0.11.1
- MAgPIE 4.0 Model Documentation (Version 4.0)
- pik-piam/shinyresults: First release of shinyresults (Version v0.16)
- pyhector - Python interface for the simple global climate carbon-cycle model Hector
- Bias corrected GCM input data for ISIMIP Fast Track
Working Group
Adaptation in Agricultural Systems
Behavioural Game Theory and Interacting Agents
Data-Centric Modeling of Cross-Sectoral Impacts
- HERA: a high-resolution pan-European hydrological reanalysis (1950-2020)
- Secondary ISIMIP3b bias-adjusted atmospheric climate input data
- CHELSA-W5E5 v1.0: W5E5 v1.0 downscaled with CHELSA v2.0
- ISIMIP3a atmospheric climate input data
Data-based analysis of climate decisions
- DOSE - The MCC-PIK Database Of Subnational Economic output
- Code for the publication "DOSE - Global data set of reported sub-national economic output"
Earth System Model Development
Earth System Modes of Operation
- Open-Source Stand-Alone Version of Atmospheric Model Aeolus 2.0 Software
- Model data for simulations of ocean biogeochemistry after the Chicxulub impact
- Data from Climate Model Ensemble Simulations for the Mesozoic Climate Evolution. V. 2021-02-04
- Model output for aerosol-induced cooling after the Chicxulub impact
- Simulation data for tracing snowball bifurcation on an earth-like aquaplanet over 4 billion years
Ecosystems in Transition
- pycoupler: dynamic model coupling of LPJmL
- Output data for the GMD publication gmd-2020-436
- Model code for the GMD publication gmd-2020-436 (1.0)
- A dataset to explore the influence of functional diversity for long-term forest biomass across six European regions using the model LPJmL-FIT
Event-based modeling of economic impacts of climate change
Forest and Ecosystem Resilience
- ISIMIP2a Simulation Data from the Regional Forests Sector (v1.0)
- CHELSA-W5E5 v1.0: W5E5 v1.0 downscaled with CHELSA v2.0
Hydroclimatic Risks
- Bias Adjusted CORDEX-EUR11 Simulations
- BASD-CMIP6-PE: bias-adjusted and statistically downscaled CMIP6 projections over Peru and Ecuador
Ice Dynamics
- Numerical simulations of the (de)stabilization of the West Antarctic Ice Sheet
- Data and code for publication "The role of history and strength of the oceanic forcing in sea level projections from Antarctica with the Parallel Ice Sheet Model" (Version v1)
- Results of the AbuMIP experiments: The Antarctic BUttressing Model Intercomparison Project
- Scripts for "ISMIP6 Antarctica: a multi-model ensemble of the Antarctic ice sheet evolution over the 21st century"
- PISM version as used in Garbe et al. (Nature, 2020) publication (Version v1.0-hysteresis-antarctica)
- Kreuzer, Moritz. (2020). Input Data as used in Kreuzer et al., Geoscientific Model Development publication (gmd-2020-230) (Version v1.0.2)
- PISM-MOM_coupling: v1.0.2
Land Use and Resilience
- ISIMIP2a Simulation Data from the Regional Forests Sector (v1.0)
- LPJmL: central open-source github repository of LPJmL at PIK
- pik-piam/magclass: magpie_expand 2.1 [magclass: Data Class and Tools for Handling Spatial-Temporal Data]
- pik-piam/magpie4: Release of version 0.107.3
- pik-piam/goxygen: Initial release. Version v0.11.1
- magpiemodel/magpie: MAgPIE 4.1
- MAgPIE 4.0 Model Documentation (Version 4.0)
- LPJmL5.0-tillage: Original source code as used in Lutz et al., 2019: submitted to Geosci. Model Dev.
- Model outputs of LPJmL4.0-VR, LPJmL4.0-VR-base and LPJmL4.0 as used in Sakschewski et al. 2021 (https://doi.org/10.5194/bg-2020-97)
- Model code of LPJmL4.0-VR as used in Sakschewski et al. 2021 (https://doi.org/10.5194/bg-2020-97)
- Data repository - Substitution of ruminant meat with microbial protein in forward-looking global land-use scenarios towards 2050
- Data repository - Integrating Degrowth and Efficiency Perspectives to Enable an Emission- neutral Food System
- Data repository - Transition to timber cities can help reduce carbon emissions without increasing competition for land
- Realizing COP26's declaration on deforestation protects forests at the expense of non-forest land
- Code for LandInG v.1.0 sample application at 5 arc-minute and 30 arc-minute resolution
- LPJmL4 and LPJmL5 source code for FSEC Food Systems Transformation assessment
- A global gridded data set on tillage. V. 1.0
- A global gridded data set on tillage - R-code. V. 1.0
- A global gridded data set on tillage (V. 1.1)
- A global gridded data set on tillage - R-code (V. 1.1)
- Model output for: 'Feeding ten billion people is possible within four terrestrial planetary boundaries'
- AgMIP - Food insecurity and global climate change mitigation policy
Land-Use Management
- pik-piam/magclass: magpie_expand 2.1 [magclass: Data Class and Tools for Handling Spatial-Temporal Data]
- pik-piam/magpie4: Release of version 0.107.3
- pik-piam/gdx: Release of version 1.42.1 (Version v1.42.1)
- pik-piam/goxygen: Initial release. Version v0.11.1
- magpiemodel/magpie: MAgPIE 4.1
- MAgPIE 4.0 Model Documentation (Version 4.0)
- pik-piam/shinyresults: First release of shinyresults (Version v0.16)
- Impact of declining renewable energy costs on electrification in low emission scenarios - Scenario Data
- Data repository - Substitution of ruminant meat with microbial protein in forward-looking global land-use scenarios towards 2050
- Data repository - Integrating Degrowth and Efficiency Perspectives to Enable an Emission- neutral Food System
- Data repository - Transition to timber cities can help reduce carbon emissions without increasing competition for land
- MAgPIE model - Transition to timber cities can help reduce carbon emissions without increasing competition for land
- REMIND - REgional Model of INvestments and Development (3.0.0)
- REMIND - DIETER coupling (v1.1)
- Realizing COP26's declaration on deforestation protects forests at the expense of non-forest land
- 'Projected Landscape-scale Repercussions of Global Action for Climate and Biodiversity Protection' - model outputs
Research Software Engineering for Transformation Pathways
- pik-primap/primap2: PRIMAP2 Version 0.7.1
- pik-primap/climate_categories: climate_categories Version 0.6.3
- UNFCCC country-submitted greenhouse gas emissions data until 2021-12-03
Terrestrial Safe Operating Space
- LPJmL: central open-source github repository of LPJmL at PIK
- boundaries: Planetary Boundary Status based on LPJmL simulations
- Example models of land management based on copan:LPJmL
- Model of integrated social-ecological resilient land systems (InSEEDS)
- pycoupler: dynamic model coupling of LPJmL
- copan:LPJmL, an advanced World-Earth modeling framework extending copan:CORE, integrating LPJmL as the Earth system interface for comprehensive social-ecological simulations
- pycopancore: Reference implementation of the copan:CORE World-Earth modelling framework
Time Series Analysis
Research Topic
1.5/2°C limit
Adaptation
- Workflow for Global crop yields can be lifted by timely adaptation of growing periods to climate change
- MAgPIE model input data sets: Climate change-driven global land-use system adaptation under CMIP6-based crop model projections
- Start and plotting scripts: Climate change-driven global land-use system adaptation under CMIP6-based crop model projections
Atmosphere
- Bias Adjusted CORDEX-EUR11 Simulations
- Supplementary data, code, and information for ‘The likelihood of recent warmth’ (Nature Scientific Reports, Mann et al. 2016))
- WFDE5 over land merged with ERA5 over the ocean (W5E5 v2.0)
- Secondary ISIMIP3b bias-adjusted atmospheric climate input data
- CHELSA-W5E5 v1.0: W5E5 v1.0 downscaled with CHELSA v2.0
- ISIMIP3b bias-adjusted atmospheric climate input data (v1.1)
- ISIMIP3a atmospheric climate input data
- Open-Source Stand-Alone Version of Atmospheric Model Aeolus 2.0 Software
- Open-Source Stand-Alone Version of Atmospheric Model Aeolus 2.0 Software
- Data from Climate Model Ensemble Simulations for the Mesozoic Climate Evolution. V. 2021-02-04
- Model output for aerosol-induced cooling after the Chicxulub impact
- BASD-CMIP6-PE: bias-adjusted and statistically downscaled CMIP6 projections over Peru and Ecuador
Attribution
- HERA: a high-resolution pan-European hydrological reanalysis (1950-2020)
- Water levels at tide gauges from: Reconstruction of hourly coastal water levels and counterfactuals without sea level rise for impact attribution
- Source code of: Reconstruction of hourly coastal water levels and counterfactuals without sea level rise for impact attribution
- Input data for: Reconstruction of hourly coastal water levels and counterfactuals without sea level rise for impact attribution
Biodiversity
- Conservation outcomes of dietary transitions across different values of nature - model outputs
- A dataset to explore the influence of functional diversity for long-term forest biomass across six European regions using the model LPJmL-FIT
CO2 Removal
- Data and code for the paper "Attention, sentiments and emotions towards emerging climate technologies on Twitter"
- Tweets on carbon dioxide removal
- TimRepke/twitter-cdr: Release
Climate Policy
- NGFS Climate Scenarios Data Set
- UNFCCC country-submitted greenhouse gas emissions data until 2021-06-28
- pik-primap/primap2: PRIMAP2 Version 0.7.1
- pik-primap/climate_categories: climate_categories Version 0.6.3
- UNFCCC country-submitted greenhouse gas emissions data until 2021-12-03
- The PRIMAP-hist national historical emissions time series (1750-2021) v2.4
- UNFCCC country-submitted greenhouse gas emissions data until 2022-12-13
- pik-primap/primap2: PRIMAP2 Version 0.9.5
- Data set of German coal power stations for coal phase out auctions
Climate impacts
- HERA: a high-resolution pan-European hydrological reanalysis (1950-2020)
- WFDE5 over land merged with ERA5 over the ocean (W5E5 v2.0)
- Secondary ISIMIP3b bias-adjusted atmospheric climate input data
- CHELSA-W5E5 v1.0: W5E5 v1.0 downscaled with CHELSA v2.0
- ISIMIP3b bias-adjusted atmospheric climate input data (v1.1)
- ISIMIP3a atmospheric climate input data
- Resilience of transportation infrastructure networks to road failures
- Water levels at tide gauges from: Reconstruction of hourly coastal water levels and counterfactuals without sea level rise for impact attribution
- Source code of: Reconstruction of hourly coastal water levels and counterfactuals without sea level rise for impact attribution
- DOSE - Global dataset of reported subnational economic output
- BASD-CMIP6-PE: bias-adjusted and statistically downscaled CMIP6 projections over Peru and Ecuador
Complex Networks
- AmbientForcing.jl
- Nonlinear time series analysis of palaeoclimate proxy records
- NetworkDynamics.jl
- NetworkDynamics.jl
- Predicting Dynamic Stability of Power Grids using Graph Neural Networks
Economics
- REMIND - REgional Model of INvestments and Development (3.3.0)
- NGFS Climate Scenarios Data Set
- REMIND - REgional Model of INvestments and Development (3.4.0)
- REMIND - REgional Model of INvestments and Development (3.5.0)
- DOSE - Global dataset of reported subnational economic output
- REMIND - REgional Model of INvestments and Development (3.5.2)
- Acclimate - Model for economic loss propagation. acclimate (Version v3.2.0)
- DOSE - The MCC-PIK Database Of Subnational Economic output
- Data repository - Integrating Degrowth and Efficiency Perspectives to Enable an Emission- neutral Food System
- REMIND - REgional Model of INvestments and Development (3.0.0)
- Code for the publication "DOSE - Global data set of reported sub-national economic output"
Ecosystems
- LPJmL: central open-source github repository of LPJmL at PIK
- Output data for the GMD publication gmd-2020-436
- Model code for the GMD publication gmd-2020-436 (1.0)
- A dataset to explore the influence of functional diversity for long-term forest biomass across six European regions using the model LPJmL-FIT
Energy
- REMIND - REgional Model of INvestments and Development (3.3.0)
- Research software used for techno-economic analysis of the impact of global heterogeneity of renewable energy supply on heavy industrial production and green value chains
- REMIND - DIETER coupling
- AmbientForcing.jl
- NGFS Climate Scenarios Data Set
- REMIND - REgional Model of INvestments and Development (3.4.0)
- REMIND - REgional Model of INvestments and Development (3.5.0)
- LPJmL for InSEEDS and further copan:LPJmL models
- REMIND - REgional Model of INvestments and Development (3.5.2)
- LPJmL: central open-source github repository of LPJmL at PIK
- POSTED: Potsdam open-source techno-economic database
- Predicting Dynamic Stability of Power Grids using Graph Neural Networks
- REMIND - REgional Model of INvestments and Development (3.0.0)
Extremes
- HERA: a high-resolution pan-European hydrological reanalysis (1950-2020)
- WFDE5 over land merged with ERA5 over the ocean (W5E5 v2.0)
- Secondary ISIMIP3b bias-adjusted atmospheric climate input data
- CHELSA-W5E5 v1.0: W5E5 v1.0 downscaled with CHELSA v2.0
- ISIMIP3b bias-adjusted atmospheric climate input data (v1.1)
- ISIMIP3a atmospheric climate input data
Food & Agriculture
- magpiemodel/magpie: MAgPIE 4.1
- Data repository - Integrating Degrowth and Efficiency Perspectives to Enable an Emission- neutral Food System
Forest
- ISIMIP2a Simulation Data from the Regional Forests Sector (v1.0)
- A dataset to explore the influence of functional diversity for long-term forest biomass across six European regions using the model LPJmL-FIT
Freshwater
Ice
- Numerical simulations of the (de)stabilization of the West Antarctic Ice Sheet
- PISM parameter ensemble analysis of Antarctic Ice Sheet glacial cycle simulations - additional data
- PISM-VILMA glacial cycle simulations of the Antarctic Ice Sheet coupled to the solid Earth and global sea level [dataset]
- Data and code for publication "The role of history and strength of the oceanic forcing in sea level projections from Antarctica with the Parallel Ice Sheet Model" (Version v1)
- Results of the AbuMIP experiments: The Antarctic BUttressing Model Intercomparison Project
- Scripts for "ISMIP6 Antarctica: a multi-model ensemble of the Antarctic ice sheet evolution over the 21st century"
- PISM version as used in Garbe et al. (Nature, 2020) publication (Version v1.0-hysteresis-antarctica)
- Kreuzer, Moritz. (2020). Input Data as used in Kreuzer et al., Geoscientific Model Development publication (gmd-2020-230) (Version v1.0.2)
- PISM-MOM_coupling: v1.0.2
Inequality and Equity
Land use
- magpiemodel/magpie: MAgPIE 4.1
- MAgPIE - An Open Source land-use modeling framework
- Output data for the GMD publication gmd-2020-436
- Model code for the GMD publication gmd-2020-436 (1.0)
- Data repository - Integrating Degrowth and Efficiency Perspectives to Enable an Emission- neutral Food System
- Data repository - Land use change and carbon emissions of a transformation to timber cities
- MAgPIE model input data sets: Climate change-driven global land-use system adaptation under CMIP6-based crop model projections
- Start and plotting scripts: Climate change-driven global land-use system adaptation under CMIP6-based crop model projections
Mitigation
- NGFS Climate Scenarios Data Set
- Data repository - Integrating Degrowth and Efficiency Perspectives to Enable an Emission- neutral Food System
Monsoon
Nonlinear Dynamics
- AmbientForcing.jl
- NetworkDynamics.jl
- NetworkDynamics.jl
- Comparison of calculation speed for recurrence plots/ recurrence quantification analysis for MATLAB, R, Python, and Julia
- Predicting Dynamic Stability of Power Grids using Graph Neural Networks
Oceans
- Data and code for publication "The role of history and strength of the oceanic forcing in sea level projections from Antarctica with the Parallel Ice Sheet Model" (Version v1)
- Kreuzer, Moritz. (2020). Input Data as used in Kreuzer et al., Geoscientific Model Development publication (gmd-2020-230) (Version v1.0.2)
- PISM-MOM_coupling: v1.0.2
- Model data for simulations of ocean biogeochemistry after the Chicxulub impact
- Data from Climate Model Ensemble Simulations for the Mesozoic Climate Evolution. V. 2021-02-04
- Model output for aerosol-induced cooling after the Chicxulub impact
Paleoclimate
- Data and MATLAB Code for Reproducing RPs and RQA of Westerhold et al, Science, 369, 2020
- Nonlinear time series analysis of palaeoclimate proxy records
- Acquisition and analysis of grey scale data from stalagmites using ImageJ software
- Model data for simulations of ocean biogeochemistry after the Chicxulub impact
- Data from Climate Model Ensemble Simulations for the Mesozoic Climate Evolution. V. 2021-02-04
- Model output for aerosol-induced cooling after the Chicxulub impact
- Simulation data for tracing snowball bifurcation on an earth-like aquaplanet over 4 billion years
Planetary Boundaries
- Output data for the GMD publication gmd-2020-436
- Model code for the GMD publication gmd-2020-436 (1.0)
Sea-level Rise
- Numerical simulations of the (de)stabilization of the West Antarctic Ice Sheet
- PISM-VILMA glacial cycle simulations of the Antarctic Ice Sheet coupled to the solid Earth and global sea level [dataset]
- Water levels at tide gauges from: Reconstruction of hourly coastal water levels and counterfactuals without sea level rise for impact attribution
- Source code of: Reconstruction of hourly coastal water levels and counterfactuals without sea level rise for impact attribution
- Data and code for publication "The role of history and strength of the oceanic forcing in sea level projections from Antarctica with the Parallel Ice Sheet Model" (Version v1)
- Input data for: Reconstruction of hourly coastal water levels and counterfactuals without sea level rise for impact attribution
Sustainable Development
- DOSE - Global dataset of reported subnational economic output
- DOSE - The MCC-PIK Database Of Subnational Economic output
- Code for the publication "DOSE - Global data set of reported sub-national economic output"
Tipping Elements
Weather
- Bias Adjusted CORDEX-EUR11 Simulations
- WFDE5 over land merged with ERA5 over the ocean (W5E5 v2.0)
- Secondary ISIMIP3b bias-adjusted atmospheric climate input data
- CHELSA-W5E5 v1.0: W5E5 v1.0 downscaled with CHELSA v2.0
- ISIMIP3b bias-adjusted atmospheric climate input data (v1.1)
- ISIMIP3a atmospheric climate input data
Model/Method
4C
Aeolus
CLIMBER
- Model data for simulations of ocean biogeochemistry after the Chicxulub impact
- Data from Climate Model Ensemble Simulations for the Mesozoic Climate Evolution. V. 2021-02-04
- Model output for aerosol-induced cooling after the Chicxulub impact
- Simulation data for tracing snowball bifurcation on an earth-like aquaplanet over 4 billion years
LPJmL
- LPJmL: central open-source github repository of LPJmL at PIK
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL wheat
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL sunflower
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL sugar cane
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL sugar beet
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL soy
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL rice
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL rapeseed
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL millet
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL managed grass
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL maize
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL groundnut
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL field pea
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL cassava
- Scenario simulation results of LPJmL within the EU project Re-Livestock in WP6 for inclusion in circular farming system modelling
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL spring wheat simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL winter wheat simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL maize simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL rice simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL soybean simulations
- Output data for the GMD publication gmd-2020-436
- Model code for the GMD publication gmd-2020-436 (1.0)
- A dataset to explore the influence of functional diversity for long-term forest biomass across six European regions using the model LPJmL-FIT
MAgPIE
- Data repository - Substitution of ruminant meat with microbial protein in forward-looking global land-use scenarios towards 2050
- Data repository - Integrating Degrowth and Efficiency Perspectives to Enable an Emission- neutral Food System
- Data repository - Substitution of ruminant meat with microbial protein in forward-looking global land-use scenarios towards 2050
- Data repository - Dietary shifts increase the feasibility of 1.5°C pathways
Machine Learning
Model Intercomparison
- Bias Adjusted CORDEX-EUR11 Simulations
- Secondary ISIMIP3b bias-adjusted atmospheric climate input data
- ISIMIP3b bias-adjusted atmospheric climate input data (v1.1)
- ISIMIP3a atmospheric climate input data
- Results of the AbuMIP experiments: The Antarctic BUttressing Model Intercomparison Project
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL spring wheat simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL winter wheat simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL maize simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL rice simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL soybean simulations
Nonlinear Data Analysis
Open Source Software
- DOSE - The MCC-PIK Database Of Subnational Economic output
- pik-primap/primap2: PRIMAP2 Version 0.7.1
- pik-primap/climate_categories: climate_categories Version 0.6.3
- UNFCCC country-submitted greenhouse gas emissions data until 2021-12-03
- UNFCCC country-submitted greenhouse gas emissions data until 2022-12-13
- pik-primap/primap2: PRIMAP2 Version 0.9.5
- Code for the publication "DOSE - Global data set of reported sub-national economic output"
- rOpenscmRunner: Run different simple climate models from R using a unified interface
PISM-PIK
- PISM parameter ensemble analysis of Antarctic Ice Sheet glacial cycle simulations - additional data
- PISM-VILMA glacial cycle simulations of the Antarctic Ice Sheet coupled to the solid Earth and global sea level [dataset]
- Data and code for publication "The role of history and strength of the oceanic forcing in sea level projections from Antarctica with the Parallel Ice Sheet Model" (Version v1)
- PISM version as used in Garbe et al. (Nature, 2020) publication (Version v1.0-hysteresis-antarctica)
- Kreuzer, Moritz. (2020). Input Data as used in Kreuzer et al., Geoscientific Model Development publication (gmd-2020-230) (Version v1.0.2)
- PISM-MOM_coupling: v1.0.2
POEM
- Open-Source Stand-Alone Version of Atmospheric Model Aeolus 2.0 Software
- Output data for the GMD publication gmd-2020-436
- Model code for the GMD publication gmd-2020-436 (1.0)
- Monsoon Planet: simulation data to examine monsoon dynamics with idealized topography
Qualitative Methods
Quantitative Methods
REMIND
- Data Repository - Distinct Roles of Direct and Indirect Electrification in Pathways to a Renewables-dominated European Energy System
- REMIND - REgional Model of INvestments and Development (3.3.0)
- REMIND - REgional Model of INvestments and Development (3.4.0)
- REMIND - REgional Model of INvestments and Development (3.5.0)
- REMIND - REgional Model of INvestments and Development (3.5.2)
- REMIND-MFA input data
- REMIND v2.1.3 - Model documentation
- REMIND - REgional Model of INvestments and Development (3.0.0)
- REMIND - DIETER coupling (v1.1)
- Data repository - Dietary shifts increase the feasibility of 1.5°C pathways
Research Software Engineering (RSE)
- UNFCCC country-submitted greenhouse gas emissions data until 2021-06-28
- UNFCCC country-submitted greenhouse gas emissions data until 2022-12-13
- pik-primap/primap2: PRIMAP2 Version 0.9.5
Research Synthesis
Region
Arctic & Antarctica
- Numerical simulations of the (de)stabilization of the West Antarctic Ice Sheet
- PISM-VILMA glacial cycle simulations of the Antarctic Ice Sheet coupled to the solid Earth and global sea level [dataset]
- Data and code for publication "The role of history and strength of the oceanic forcing in sea level projections from Antarctica with the Parallel Ice Sheet Model" (Version v1)
- Results of the AbuMIP experiments: The Antarctic BUttressing Model Intercomparison Project
- PISM version as used in Garbe et al. (Nature, 2020) publication (Version v1.0-hysteresis-antarctica)
- Kreuzer, Moritz. (2020). Input Data as used in Kreuzer et al., Geoscientific Model Development publication (gmd-2020-230) (Version v1.0.2)
- PISM-MOM_coupling: v1.0.2
Brandenburg
Europe
- Bias Adjusted CORDEX-EUR11 Simulations
- HERA: a high-resolution pan-European hydrological reanalysis (1950-2020)
- ISIMIP2a Simulation Data from the Regional Forests Sector (v1.0)
- HANZE v2.4 flood impact and attribution model
- Pan-European exposure maps and uncertainty estimates from HANZE v2.0 model, 1870-2020
- A dataset to explore the influence of functional diversity for long-term forest biomass across six European regions using the model LPJmL-FIT
Germany
Global
- WFDE5 over land merged with ERA5 over the ocean (W5E5 v2.0)
- Secondary ISIMIP3b bias-adjusted atmospheric climate input data
- CHELSA-W5E5 v1.0: W5E5 v1.0 downscaled with CHELSA v2.0
- ISIMIP3b bias-adjusted atmospheric climate input data (v1.1)
- ISIMIP3a atmospheric climate input data
- Tweets on carbon dioxide removal
- REMIND - REgional Model of INvestments and Development (3.3.0)
- LPJmL: central open-source github repository of LPJmL at PIK
- LPJmL4 Potential Natural Vegetation (PNV) simulations for use in MAgPIE for ISIMIP3 scenarios
- LPJmL5 agricultural system simulations for use in MAgPIE for ISIMIP3 scenarios
- Open-Source Stand-Alone Version of Atmospheric Model Aeolus 2.0 Software
- TimRepke/twitter-cdr: Release
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL wheat
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL sunflower
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL sugar cane
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL sugar beet
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL soy
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL rice
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL rapeseed
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL millet
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL managed grass
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL maize
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL groundnut
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL field pea
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL cassava
- magpiemodel/magpie: MAgPIE 4.1
- REMIND - REgional Model of INvestments and Development (3.4.0)
- REMIND - REgional Model of INvestments and Development (3.5.0)
- Global crop-specific N2O emissions dataset in 2050 and 2100 under SSP-RCP scenarios at 0.05° resolution
- REMIND - REgional Model of INvestments and Development (3.5.2)
- Acclimate - Model for economic loss propagation. acclimate (Version v3.2.0)
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL spring wheat simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL winter wheat simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL maize simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL rice simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL soybean simulations
- DOSE - The MCC-PIK Database Of Subnational Economic output
- Output data for the GMD publication gmd-2020-436
- Model code for the GMD publication gmd-2020-436 (1.0)
- UNFCCC country-submitted greenhouse gas emissions data until 2021-06-28
- UNFCCC country-submitted greenhouse gas emissions data until 2021-12-03
- Data repository - Substitution of ruminant meat with microbial protein in forward-looking global land-use scenarios towards 2050
- Data repository - Integrating Degrowth and Efficiency Perspectives to Enable an Emission- neutral Food System
- The PRIMAP-hist national historical emissions time series (1750-2021) v2.4
- UNFCCC country-submitted greenhouse gas emissions data until 2022-12-13
- pik-primap/primap2: PRIMAP2 Version 0.9.5
- Code for the publication "DOSE - Global data set of reported sub-national economic output"
- Model data for simulations of ocean biogeochemistry after the Chicxulub impact
- Data from Climate Model Ensemble Simulations for the Mesozoic Climate Evolution. V. 2021-02-04
- Model output for aerosol-induced cooling after the Chicxulub impact
- Monsoon Planet: simulation data to examine monsoon dynamics with idealized topography
- Simulation data for tracing snowball bifurcation on an earth-like aquaplanet over 4 billion years
South America
Further Keywords
Top 20 by usage:
Climate change (9)
Climate change (9)
Climate change (9)
Spp 1158 (8)
Pik (8)
Python (6)
Potsdam institute for climate impact research (6)
Highlight (6)
Potential irrigation water withdrawal (5)
Planting day (5)
Phase2 (5)
Natural hazards (5)
Maturity day (5)
Crop yield (5)
Actual growing season evapotranspiration (5)
Above-ground biomass (5)
Natural hazards (5)
Ctwn-a (5)
Maintained (4)
Hydrogen (4)
1
A
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL wheat
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL sunflower
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL sugar cane
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL sugar beet
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL soy
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL rice
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL rapeseed
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL millet
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL managed grass
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL maize
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL groundnut
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL field pea
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL cassava
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL spring wheat simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL winter wheat simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL maize simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL rice simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL soybean simulations
B
C
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL spring wheat simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL winter wheat simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL maize simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL rice simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL soybean simulations
- Research data supporting "Impact of global heterogeneity of renewable energy supply on heavy industrial production and green value chains"
- Research software used for techno-economic analysis of the impact of global heterogeneity of renewable energy supply on heavy industrial production and green value chains
- Impact of global heterogeneity of renewable-energy supply on heavy industrial production and green value chains
- The Carbon Dioxide Removal Gap dataset
- Research software used for techno-economic analysis of the impact of global heterogeneity of renewable energy supply on heavy industrial production and green value chains
- Code and data for "Neural topic modeling reveals German television's climate change coverage"
- The PRIMAP-hist national historical emissions time series (1750-2024) v2.7
- A comprehensive and synthetic dataset for global, regional and national greenhouse gas emissions by sector 1970-2018 with an extension to 2019
- Workflow for Global crop yields can be lifted by timely adaptation of growing periods to climate change
- Bias adjusted and statistically down-scaled ISIMIP3b for historical and hist-nat experiments over Central Asia
- Tweets containing "climate change" with topic annotations
- BASD-CMIP6-PE: bias-adjusted and statistically downscaled CMIP6 projections over Peru and Ecuador
- The Carbon Dioxide Removal Gap dataset
- Research software used for techno-economic analysis of the impact of global heterogeneity of renewable energy supply on heavy industrial production and green value chains
- Code and data for "Neural topic modeling reveals German television's climate change coverage"
- The PRIMAP-hist national historical emissions time series (1750-2024) v2.7
- A comprehensive and synthetic dataset for global, regional and national greenhouse gas emissions by sector 1970-2018 with an extension to 2019
- Workflow for Global crop yields can be lifted by timely adaptation of growing periods to climate change
- Bias adjusted and statistically down-scaled ISIMIP3b for historical and hist-nat experiments over Central Asia
- Tweets containing "climate change" with topic annotations
- BASD-CMIP6-PE: bias-adjusted and statistically downscaled CMIP6 projections over Peru and Ecuador
- Water levels at tide gauges from: Reconstruction of hourly coastal water levels and counterfactuals without sea level rise for impact attribution
- Source code of: Reconstruction of hourly coastal water levels and counterfactuals without sea level rise for impact attribution
- Input data for: Reconstruction of hourly coastal water levels and counterfactuals without sea level rise for impact attribution
- Water levels at tide gauges from: Reconstruction of hourly coastal water levels and counterfactuals without sea level rise for impact attribution
- Source code of: Reconstruction of hourly coastal water levels and counterfactuals without sea level rise for impact attribution
- Input data for: Reconstruction of hourly coastal water levels and counterfactuals without sea level rise for impact attribution
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL wheat
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL sunflower
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL sugar cane
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL sugar beet
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL soy
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL rice
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL rapeseed
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL millet
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL managed grass
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL maize
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL groundnut
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL field pea
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL cassava
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL spring wheat simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL winter wheat simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL maize simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL rice simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL soybean simulations
- Workflow for Global crop yields can be lifted by timely adaptation of growing periods to climate change
D
E
F
- PISM version as used in Garbe et al. (Nature, 2020) publication (Version v1.0-hysteresis-antarctica)
- Model outputs of LPJmL4.0-VR, LPJmL4.0-VR-base and LPJmL4.0 as used in Sakschewski et al. 2021 (https://doi.org/10.5194/bg-2020-97)
- Model code of LPJmL4.0-VR as used in Sakschewski et al. 2021 (https://doi.org/10.5194/bg-2020-97)
G
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL wheat
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL sunflower
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL sugar cane
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL sugar beet
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL soy
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL rice
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL rapeseed
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL millet
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL managed grass
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL maize
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL groundnut
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL field pea
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL cassava
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL spring wheat simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL winter wheat simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL maize simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL rice simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL soybean simulations
- Research data supporting "Impact of global heterogeneity of renewable energy supply on heavy industrial production and green value chains"
- Research software used for techno-economic analysis of the impact of global heterogeneity of renewable energy supply on heavy industrial production and green value chains
- Impact of global heterogeneity of renewable-energy supply on heavy industrial production and green value chains
H
- LPJmL: central open-source github repository of LPJmL at PIK
- Open-Source Stand-Alone Version of Atmospheric Model Aeolus 2.0 Software
- magpiemodel/magpie: MAgPIE 4.1
- NetworkDynamics.jl
- REMIND - REgional Model of INvestments and Development (3.5.2)
- Acclimate - Model for economic loss propagation. acclimate (Version v3.2.0)
- Data Repository - Distinct Roles of Direct and Indirect Electrification in Pathways to a Renewables-dominated European Energy System
- Research data supporting "Impact of global heterogeneity of renewable energy supply on heavy industrial production and green value chains"
- Research software used for techno-economic analysis of the impact of global heterogeneity of renewable energy supply on heavy industrial production and green value chains
- Impact of global heterogeneity of renewable-energy supply on heavy industrial production and green value chains
I
- LPJmL4 Potential Natural Vegetation (PNV) simulations for use in MAgPIE for ISIMIP3 scenarios
- LPJmL5 agricultural system simulations for use in MAgPIE for ISIMIP3 scenarios
- Water levels at tide gauges from: Reconstruction of hourly coastal water levels and counterfactuals without sea level rise for impact attribution
- Source code of: Reconstruction of hourly coastal water levels and counterfactuals without sea level rise for impact attribution
J
- Comparison of calculation speed for recurrence plots/ recurrence quantification analysis for MATLAB, R, Python, and Julia
- Recurrence-based synchronization analysis of weakly coupled bursting neurons under external ELF field
- Edit distance based recurrence plot for event time series
- Power spectral estimate for discrete data
K
L
M
- Extended generalized recurrence plot quantification of complex circular patterns
- Data and MATLAB Code for Reproducing RPs and RQA of Westerhold et al, Science, 369, 2020
- Extended generalized recurrence plot quantification of complex circular patterns
- Visualizing driving forces of spatially extended systems using the recurrence plot framework
- A bibliographic view on recurrence plots and recurrence quantification analyses
- Comparison of calculation speed for recurrence plots/ recurrence quantification analysis for MATLAB, R, Python, and Julia
- pucicu/rp: Recurrence plot and recurrence quantification analysis implementation for MATLAB
- Trends in recurrence analysis of dynamical system
- Difference recurrence plots for structural inspection using guided ultrasonic waves
- Acquisition and analysis of grey scale data from stalagmites using ImageJ software
- Data Repository - Distinct Roles of Direct and Indirect Electrification in Pathways to a Renewables-dominated European Energy System
- LPJmL: central open-source github repository of LPJmL at PIK
- REMIND - DIETER coupling
- Open-Source Stand-Alone Version of Atmospheric Model Aeolus 2.0 Software
- magpiemodel/magpie: MAgPIE 4.1
- REMIND - REgional Model of INvestments and Development (3.4.0)
- REMIND - REgional Model of INvestments and Development (3.5.0)
- Scenario simulation results of LPJmL within the EU project Re-Livestock in WP6 for inclusion in circular farming system modelling
- LPJmL for InSEEDS and further copan:LPJmL models
- REMIND - REgional Model of INvestments and Development (3.5.2)
- MAgPIE - An Open Source land-use modeling framework
- LPJmL: central open-source github repository of LPJmL at PIK
- REMIND-MFA input data
- Acclimate - Model for economic loss propagation. acclimate (Version v3.2.0)
N
P
- NACSOS platform for large-scale AI-assisted systematic maps
- LPJmL4 Potential Natural Vegetation (PNV) simulations for use in MAgPIE for ISIMIP3 scenarios
- LPJmL5 agricultural system simulations for use in MAgPIE for ISIMIP3 scenarios
- AmbientForcing.jl
- LPJmL for InSEEDS and further copan:LPJmL models
- PIKART: A Comprehensive Global Catalog of Atmospheric Rivers
- NetworkDynamics.jl
- LPJmL: central open-source github repository of LPJmL at PIK
- Resilience of transportation infrastructure networks to road failures
- Nonlinear time series analysis of palaeoclimate proxy records
- A bibliographic view on recurrence plots and recurrence quantification analyses
- Comparison of calculation speed for recurrence plots/ recurrence quantification analysis for MATLAB, R, Python, and Julia
- Trends in recurrence analysis of dynamical system
- Difference recurrence plots for structural inspection using guided ultrasonic waves
R
- Research data supporting "Impact of global heterogeneity of renewable energy supply on heavy industrial production and green value chains"
- Research software used for techno-economic analysis of the impact of global heterogeneity of renewable energy supply on heavy industrial production and green value chains
- Impact of global heterogeneity of renewable-energy supply on heavy industrial production and green value chains
S
- Numerical simulations of the (de)stabilization of the West Antarctic Ice Sheet
- PISM parameter ensemble analysis of Antarctic Ice Sheet glacial cycle simulations - additional data
- Data and code for publication "The role of history and strength of the oceanic forcing in sea level projections from Antarctica with the Parallel Ice Sheet Model" (Version v1)
- Results of the AbuMIP experiments: The Antarctic BUttressing Model Intercomparison Project
- Scripts for "ISMIP6 Antarctica: a multi-model ensemble of the Antarctic ice sheet evolution over the 21st century"
- PISM version as used in Garbe et al. (Nature, 2020) publication (Version v1.0-hysteresis-antarctica)
- Kreuzer, Moritz. (2020). Input Data as used in Kreuzer et al., Geoscientific Model Development publication (gmd-2020-230) (Version v1.0.2)
- PISM-MOM_coupling: v1.0.2
- LPJmL: central open-source github repository of LPJmL at PIK
- Open-Source Stand-Alone Version of Atmospheric Model Aeolus 2.0 Software
- AmbientForcing.jl
- magpiemodel/magpie: MAgPIE 4.1
- REMIND - REgional Model of INvestments and Development (3.4.0)
- NetworkDynamics.jl
- REMIND - REgional Model of INvestments and Development (3.5.0)
- REMIND - REgional Model of INvestments and Development (3.5.2)
- Approximate Recurrence Quantification Analysis apRQA
- RQA for very long data series RQA_openMP
- NetworkDynamics.jl
- Comparison of calculation speed for recurrence plots/ recurrence quantification analysis for MATLAB, R, Python, and Julia
- Acclimate - Model for economic loss propagation. acclimate (Version v3.2.0)
- pucicu/rp: Recurrence plot and recurrence quantification analysis implementation for MATLAB
- Scripts to replicate "The Social Cost of Tropical Cyclones"
- Research data supporting "Impact of global heterogeneity of renewable energy supply on heavy industrial production and green value chains"
- Research software used for techno-economic analysis of the impact of global heterogeneity of renewable energy supply on heavy industrial production and green value chains
- Impact of global heterogeneity of renewable-energy supply on heavy industrial production and green value chains
T
U
Y
A
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL spring wheat simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL winter wheat simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL maize simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL rice simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL soybean simulations
- NACSOS platform for large-scale AI-assisted systematic maps
- LPJmL: central open-source github repository of LPJmL at PIK
- Open-Source Stand-Alone Version of Atmospheric Model Aeolus 2.0 Software
- REMIND - REgional Model of INvestments and Development (3.4.0)
- NetworkDynamics.jl
- REMIND - REgional Model of INvestments and Development (3.5.0)
- LPJmL for InSEEDS and further copan:LPJmL models
- REMIND - REgional Model of INvestments and Development (3.5.2)
- piamValidation: Validation Tools for PIK-PIAM
- NetworkDynamics.jl
- LPJmL: central open-source github repository of LPJmL at PIK
- REMIND-MFA input data
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL spring wheat simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL winter wheat simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL maize simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL rice simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL soybean simulations
B
C
- Research data supporting "Impact of global heterogeneity of renewable energy supply on heavy industrial production and green value chains"
- Research software used for techno-economic analysis of the impact of global heterogeneity of renewable energy supply on heavy industrial production and green value chains
- Impact of global heterogeneity of renewable-energy supply on heavy industrial production and green value chains
- The Carbon Dioxide Removal Gap dataset
- Research software used for techno-economic analysis of the impact of global heterogeneity of renewable energy supply on heavy industrial production and green value chains
- Code and data for "Neural topic modeling reveals German television's climate change coverage"
- The PRIMAP-hist national historical emissions time series (1750-2024) v2.7
- A comprehensive and synthetic dataset for global, regional and national greenhouse gas emissions by sector 1970-2018 with an extension to 2019
- Workflow for Global crop yields can be lifted by timely adaptation of growing periods to climate change
- Bias adjusted and statistically down-scaled ISIMIP3b for historical and hist-nat experiments over Central Asia
- Tweets containing "climate change" with topic annotations
- BASD-CMIP6-PE: bias-adjusted and statistically downscaled CMIP6 projections over Peru and Ecuador
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL wheat
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL sunflower
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL sugar cane
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL sugar beet
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL soy
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL rice
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL rapeseed
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL millet
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL managed grass
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL maize
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL groundnut
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL field pea
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL cassava
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL spring wheat simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL winter wheat simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL maize simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL rice simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL soybean simulations
- Workflow for Global crop yields can be lifted by timely adaptation of growing periods to climate change
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL spring wheat simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL winter wheat simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL maize simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL rice simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL soybean simulations
D
E
F
G
- Research data supporting "Impact of global heterogeneity of renewable energy supply on heavy industrial production and green value chains"
- Research software used for techno-economic analysis of the impact of global heterogeneity of renewable energy supply on heavy industrial production and green value chains
- Impact of global heterogeneity of renewable-energy supply on heavy industrial production and green value chains
H
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL wheat
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL sunflower
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL sugar cane
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL sugar beet
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL soy
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL rice
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL rapeseed
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL millet
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL managed grass
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL maize
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL groundnut
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL field pea
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL cassava
- Data Repository - Distinct Roles of Direct and Indirect Electrification in Pathways to a Renewables-dominated European Energy System
- Research data supporting "Impact of global heterogeneity of renewable energy supply on heavy industrial production and green value chains"
- Research software used for techno-economic analysis of the impact of global heterogeneity of renewable energy supply on heavy industrial production and green value chains
- Impact of global heterogeneity of renewable-energy supply on heavy industrial production and green value chains
I
L
M
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL spring wheat simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL winter wheat simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL maize simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL rice simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL soybean simulations
N
O
P
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL spring wheat simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL winter wheat simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL maize simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL rice simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL soybean simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL spring wheat simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL winter wheat simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL maize simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL rice simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL soybean simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL spring wheat simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL winter wheat simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL maize simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL rice simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL soybean simulations
R
- Extended generalized recurrence plot quantification of complex circular patterns
- Data and MATLAB Code for Reproducing RPs and RQA of Westerhold et al, Science, 369, 2020
- Nonlinear time series analysis of palaeoclimate proxy records
- Extended generalized recurrence plot quantification of complex circular patterns
- Visualizing driving forces of spatially extended systems using the recurrence plot framework
- A bibliographic view on recurrence plots and recurrence quantification analyses
- Comparison of calculation speed for recurrence plots/ recurrence quantification analysis for MATLAB, R, Python, and Julia
- pucicu/rp: Recurrence plot and recurrence quantification analysis implementation for MATLAB
- Recurrence-based synchronization analysis of weakly coupled bursting neurons under external ELF field
- Trends in recurrence analysis of dynamical system
- Difference recurrence plots for structural inspection using guided ultrasonic waves
- Edit distance based recurrence plot for event time series
- Extended generalized recurrence plot quantification of complex circular patterns
- Data and MATLAB Code for Reproducing RPs and RQA of Westerhold et al, Science, 369, 2020
- Nonlinear time series analysis of palaeoclimate proxy records
- Extended generalized recurrence plot quantification of complex circular patterns
- Visualizing driving forces of spatially extended systems using the recurrence plot framework
- A bibliographic view on recurrence plots and recurrence quantification analyses
- Approximate Recurrence Quantification Analysis apRQA
- RQA for very long data series RQA_openMP
- Comparison of calculation speed for recurrence plots/ recurrence quantification analysis for MATLAB, R, Python, and Julia
- pucicu/rp: Recurrence plot and recurrence quantification analysis implementation for MATLAB
- Trends in recurrence analysis of dynamical system
- Difference recurrence plots for structural inspection using guided ultrasonic waves
- Research data supporting "Impact of global heterogeneity of renewable energy supply on heavy industrial production and green value chains"
- Research software used for techno-economic analysis of the impact of global heterogeneity of renewable energy supply on heavy industrial production and green value chains
- Impact of global heterogeneity of renewable-energy supply on heavy industrial production and green value chains
S
- Research data supporting "Impact of global heterogeneity of renewable energy supply on heavy industrial production and green value chains"
- Research software used for techno-economic analysis of the impact of global heterogeneity of renewable energy supply on heavy industrial production and green value chains
- Impact of global heterogeneity of renewable-energy supply on heavy industrial production and green value chains