SCIPSA Climate Data Portal @ IRI

Strengthening Climate Information Partnerships - South Asia is a UKaid-funded project of the ARRCC programme (Asia Regional Resilience to a Changing Climate).

SCIPSA aims to bring together regional and national climate information providers, users and researchers to strengthen seasonal forecasting activities and advice services to vital sectors in the region. Part of this will be achieved by improving access to data and enhancing capacity to utilise such data. SCIPSA is led by the UK Met Office together with Regional Integrated Multi-Hazard Early Warning System for Africa and Asia (RIMES), and working in collaboration with Regional Climate Centre (RCC) India Meteorological Department (IMD) and IRI to enhance the South Asia Climate Outlook Forum, and national meteorological services from Afghanistan, Bangladesh, Nepal and Pakistan.

The UK Met Office working in partnership with the UK’s Department for International Development (DFID) is implementing the UK aid-funded Asia Regional Resilience to Changing Climate (ARRCC) programme. The four-year programme, commenced in September 2018, aims to strengthen weather and seasonal prediction systems across South Asia, with a focus on Afghanistan, Bangladesh, Nepal and Pakistan. The programme will deliver new technologies and innovative approaches to help vulnerable communities use weather warnings and forecasts to better prepare for climate-related shocks.

Seasonal Forecast Model Datasets Sub-seasonal Forecast Model Datasets Observation Datasets Python CPT Tools for Regional Forecast Construction and Verification Subseasonal Real Time Forecasts
Seasonal Forecasts
These maps display climatological values of forecast 2-meter temperature, sea surface temperature, and precipitation at multiple leads and start times during the year for a selection of climate models. The climatological base period is 1982-2010 for NCEP-CFSv2, NASA-GEOSS2S, and COLA-RSMAS-CCSM4, 1981-2010 for ECMWF-SEAS5 and CanSIPSv2, 1993-2016 for DWD, UKMO, CMCC, and MeteoFrance, and 1991-2020 for GFDL-SPEAR.
These maps display monthly anomaly values of forecast 2-meter temperature, sea surface temperature, and precipitation at multiple leads for a selection of climate models. The climatological base period is 1982-2010 for NCEP-CFSv2, NASA-GEOSS2S, and COLA-RSMAS-CCSM4, 1981-2010 for ECMWF-SEAS5 and CanSIPSv2, 1993-2016 for DWD, UKMO, CMCC, and MeteoFrance, and 1991-2020 for GFDL-SPEAR.
These maps display seasonal anomaly values of forecast 2-meter temperature, sea surface temperature, and precipitation at multiple leads for a selection of climate models. The climatological base period is 1982-2010 for NCEP-CFSv2, NASA-GEOSS2S, and COLA-RSMAS-CCSM4, 1981-2010 for ECMWF-SEAS5 and CanSIPSv2, 1993-2016 for DWD, UKMO, CMCC, and MeteoFrance, and 1991-2020 for GFDL-SPEAR.
These maps display anomaly correlations between hindcasts of 2-meter temperature, sea surface temperature, and precipitation and observed values of the same variables at multiple leads for a selection of climate models. The range of years over which the correlation is calculated is 1982-2010 for NCEP-CFSv2, NASA-GEOSS2S, and COLA-RSMAS-CCSM4, 1981-2010 for ECMWF-SEAS5 and CanSIPSv2, 1993-2016 for DWD, UKMO, CMCC, and MeteoFrance, and 1991-2020 for GFDL-SPEAR.
Observations
These maps display climatological values of observed precipitation, temperature, sea surface temperature, and mean sea level pressure. The climatological base period is 1981-2010.
These maps display anomalies of observed precipitation, temperature, sea surface temperature, and mean sea level pressure. The climatological base period is 1981-2010.