Models in Research Domain II

REGIONAL MODELS in RD2

STAR - STAtistical Regional climate model represents a new statistical method for regional climate scenarios. The basis for these scenarios are daily meteorological data measured at the stations in the region of interest and trend in temperature for the future, derived e.g. from a GCM-run.

CCLM - COSMO-ClimateLimited-areaModelling is a dynamic regional climate model, applicable for studying nonlinear feedback processes. In a new approach, it is applied to generate very-high resolution ensemble simulations for extremes (droughts and floods) under uncertainty with a spatial resolution of about 2.8 km. Temporal resolution is recently between 1 day and 1 hour
SWIM - Soil and Water Integrated Model investigates climate and land use change impacts at the regional scale, where the impacts are manifested and adaptation measures take place. It combines the relevant ecohydrological processes at the mesoscale such as runoff generation, nutrient and carbon cycling, river discharge, plant growth and crop yield, and erosion.
4C - FORESEE - FORESt Ecosystems in a Changing Environment has been developed to describe long-term forest behaviour under changing environmental conditions. It describes processes on tree and stand level basing on findings from eco-physiological experiments, long term observations and physiological modelling on a intermediate level of complexity.

LPJmL - Lund-Potsdam-Jena managed Land Dynamic Global Vegetation and Water Balance Model is a dynamic global simulation model of vegetation biogeography and vegetation/soil biogeochemistry. Taking climate, soil and atmospheric information as input, it dynamically computes spatially explicit transient vegetation composition in terms of plant functional groups, and their associated carbon and water budgets.
MAgPIE - Model of Agricultural Production and its Impact on the Environment is a global land and water use, that provides in connection with the dynamic global vegetation and hydrology model LPJmL a consistent link between economic development, food and energy demand in different world regions with spatially explicit patterns of production, land use change and water constraints. As an economic optimisation model, MAgPIE will be used to derive economic values (rents) of land and water resources used in production.
PRIMAP - Potsdam Real-time Integrated Model for probabilistic Assessment of Emission Paths focus on the questions about: What is the probability of key climate impacts under a particular emission pathway? And vice versa: What are the implications for global and regional emissions, i.e., post-2012 negotiations, if a particular ecosystem climate impact or temperature level should be avoided with a given probability?