Dr Stefan Lange

Wissenschaftler
Lange
 

Kontakt

Potsdam-Institut für Klimafolgenforschung (PIK)
T +49 (0)331 288 20774
slange[at]pik-potsdam.de
P.O. Box 60 12 03
14412 Potsdam

ORCID

Mein Physikstudium an der TU Dresden schloss ich 2011 ab. Als Mitglied des IRTG 1740 promovierte ich anschließend in Theoretischer Physik am PIK, INPE und der HU Berlin. Seit 2015 arbeite ich als PostDoc am PIK.

Artikel

  • W. Thiery, S. Lange, J. Rogelj, C.-F. Schleussner, L. Gudmundsson, S. I. Seneviratne, M. Andrijevic et al. (2021) "Intergenerational inequities in exposure to climate extremes," Science, doi: 10.1126/science.abi7339
  • H. Shi, H. Tian, S. Lange, J. Yang, S. Pan, B. Fu und C. P. O. Reyer (2021) "Terrestrial biodiversity threatened by increasing global aridity velocity under high-level warming," Proceedings of the National Academy of Sciences, doi: 10.1073/pnas.2015552118
  • M. Mengel, S. Treu, S. Lange und K. Frieler (2021) "ATTRICI v1.1 – counterfactual climate for impact attribution," Geoscientific Model Development, doi: 10.5194/gmd-14-5269-2021
  • S. Lange und C. Timm (2021) "Random-matrix theory for the Lindblad master equation," Chaos, doi: 10.1063/5.0033486
  • S. Lange, J. Volkholz, T. Geiger, F. Zhao, I. Vega, T. Veldkamp, C. P. O. Reyer et al. (2020) "Projecting exposure to extreme climate impact events across six event categories and three spatial scales," Earth's Future, doi: 10.1029/2020EF001616
  • M. Cucchi, G. P. Weedon, A. Amici, N. Bellouin, S. Lange, H. Müller Schmied, H. Hersbach und C. Buontempo (2020) "WFDE5: bias adjusted ERA5 reanalysis data for impact studies," Earth System Science Data, doi: 10.5194/essd-12-2097-2020
  • C. P. O. Reyer, R. S. Gonzalez, K. Dolos, F. Hartig, Y. Hauf, M. Noack , P. Lasch-Born et al. (2020) "The PROFOUND database for evaluating vegetation models and simulating climate impacts on forests," Earth System Science Data, doi: 10.5194/essd-12-1295-2020
  • A. Casanueva, S. Herrera, M. Iturbide, S. Lange, M. Jury, A. Dosio, D. Maraun und J. M. Gutiérrez (2020) "Testing bias adjustment methods for regional climate change applications under observational uncertainty and resolution mismatch," Atmospheric Science Letters, doi: 10.1002/asl.978
  • V. Huber, L. Krummenauer, C. Peña-Ortiz, S. Lange, A. Gasparrini, A. M. Vicedo-Cabrera, R. Garcia-Herrera und K. Frieler (2020) "Temperature-related excess mortality in German cities at 2°C and higher degrees of global warming," Environmental Research, doi: 10.1016/j.envres.2020.109447
  • F. Ueckerdt, K. Frieler, S. Lange, L. Wenz, G. Luderer und A. Levermann (2019) "The economically optimal warming limit of the planet," Earth System Dynamics, doi: 10.5194/esd-10-741-2019
  • S. Lange (2019) "Trend-preserving bias adjustment and statistical downscaling with ISIMIP3BASD (v1.0)," Geoscientific Model Development, doi: 10.5194/gmd-12-3055-2019
  • S. Galmarini, A. J. Cannon, A. Ceglar, O. B. Christensen, N. de Noblet-Ducoudré, F. Dentener, F. J. Doblas-Reyes et al. (2019) "Adjusting climate model bias for agricultural impact assessment: How to cut the mustard," Climate Services, doi: 10.1016/j.cliser.2019.01.004
  • J. Zscheischler, E. M. Fischer und S. Lange (2019) "The effect of bias adjustment on impact modeling," Earth System Dynamics, doi: 10.5194/esd-10-31-2019
  • M. Rückamp, U. Falk, K. Frieler, S. Lange und A. Humbert (2018) "The effect of overshooting 1.5 °C global warming on the mass loss of the Greenland Ice Sheet," Earth System Dynamics, doi: 10.5194/esd-9-1169-2018
  • S. Lange (2018) "Bias correction of surface downwelling longwave and shortwave radiation for the EWEMBI dataset," Earth System Dynamics, doi: 10.5194/esd-9-627-2018
  • K. Frieler, S. Lange, F. Piontek, C. P. O. Reyer, J. Schewe, L. Warszawski, F. Zhao et al. (2017) "Assessing the impacts of 1.5°C global warming – simulation protocol of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP2b)," Geoscientific Model Development, doi: 10.5194/gmd-10-4321-2017
  • S. Lange, J. F. Donges, J. Volkholz und J. Kurths (2015) "Local difference measures between complex networks for dynamical system model evaluation," PLoS ONE, doi: 10.1371/journal.pone.0118088
  • S. Lange, B. Rockel, J. Volkholz und B. Bookhagen (2015) "Regional climate model sensitivities to parametrizations of convection and non-precipitating subgrid-scale clouds over South America," Climate Dynamics, doi: 10.1007/s00382-014-2199-0
  • J. H. Feldhoff, S. Lange, J. Volkholz, J. F. Donges, J. Kurths und F.-W. Gerstengarbe (2015) "Complex networks for climate model evaluation with application to statistical versus dynamical modeling of South American climate," Climate Dynamics, doi: 10.1007/s00382-014-2182-9


Datensätze

  • S. Lange, C. Menz, S. Gleixner, M. Cucchi, G. P. Weedon, A. Amici, N. Bellouin, H. Müller Schmied, H. Hersbach, C. Buontempo und C. Cagnazzo (2021) "WFDE5 over land merged with ERA5 over the ocean (W5E5)," v2.0, ISIMIP Repository, doi: 10.48364/ISIMIP.342217
  • D. N. Karger, B. Dabaghchian, S. Lange, W. Thuiller, N. E. Zimmermann und C. H. Graham (2020) "High resolution climate data for Europe," EnviDat, doi: 10.16904/envidat.150
  • C. P. O. Reyer, R. S. Gonzalez, K. Dolos, F. Hartig, Y. Hauf, M. Noack , P. Lasch-Born et al. (2020) "The PROFOUND database for evaluating vegetation models and simulating climate impacts on European forests," v0.3, GFZ Data Services, doi: 10.5880/PIK.2020.006
  • S. Lange (2019) "WFDE5 over land merged with ERA5 over the ocean (W5E5)," v1.0, GFZ Data Services, doi: 10.5880/pik.2019.023
  • S. Lange (2019) "EartH2Observe, WFDEI and ERA-Interim data Merged and Bias-corrected for ISIMIP (EWEMBI)," v1.1, GFZ Data Services, doi: 10.5880/pik.2019.004


Code

Dissertation

  • S. Lange (2015) "On the evaluation of regional climate model simulations over South America," betreut durch Jürgen Kurths, Jan Volkholz, Sin Chan Chou und Celso von Randow, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät, urn: nbn:de:kobv:11-100233175


Diplomarbeit

  • S. Lange (2011) "Zufallsmatrixtheorie für die Lindblad-Mastergleichung," betreut durch Carsten Timm und Werner Timmermann, Technische Universität Dresden, Fakultät Mathematik und Naturwissenschaften, urn: nbn:de:bsz:14-qucosa2-380809