Future changes in seasonal climate with reference to a historical climatological period. Climatological period is user defined and is same in both historical and future periods. Future projections are based on the representative concentration pathways (RCPs).
Many options can be specified to produce yearly time series of a chosen seasonal diagnostic of the daily precipitation data. The user can choose between three parameters and choose different GCM-RCM combinations to assess future seasonal changes over the area of interest. Clicking on the map will then produce a local yearly seasonal time series, frequency distribution and trend of the chosen parameter.
Years, Season and climatology period: Specify the start years in the future and history as well as the climatology period
which will automatically define the end years in both history and future. The season
can then be specified by choosing the start and end months. Finally, specify the model
and parameter for which to perform the analysis.
Historical Start Year: This is defined as the start of the climatological period in history.
Future Start Year: This is defined as the start of the climatological perion in future.
Period: This is the climatological period over which the assessment is to be made, the default
value is (30 years). Once this is defined, it will automatically calculate the end
years for the climatological period both in history and future. For consistency, this
period is same in both time periods.
Seasonal Changes: The change statistic is calculated by taking the climatological mean of the parameter
in both periods and then subtracting the historical climatological mean from the future
climatological mean (Future Changes = Mean_Fut - Mean_Hist).
Spatial Resolution: The analysis can performed and map at each 0.44 resolution grid point. Additionally
it is possible to average the results of the analysis over the 0.44 grid points falling
within administrative boundaries for the time series graph.
We acknowledge the World Climate Research Programme's Working Group on Regional Climate, and the Working Group on Coupled Modelling, former coordinating body of CORDEX and responsible panel for CMIP5. We also thank the climate modelling groups (listed in the model options of this page) for producing and making available their model output. We also acknowledge the Earth System Grid Federation infrastructure an international effort led by the U.S. Department of Energy's Program for Climate Model Diagnosis and Intercomparison, the European Network for Earth System Modelling and other partners in the Global Organisation for Earth System Science Portals (GO-ESSP).
Contact webadmin@icpac.net with any technical questions or problems with this Map Room.