Maps of monthly mean values of precipitable water derived from SATEM bulletins by gridding to 5x5 degree grid and interpolation to a 1x1 degree grid.(near realtime product), provided by WMO Regional Climate Centre (RCC) on Climate Monitoring

Maps of mean monthly mean values of cloud fractional cover derived from satellite and in-situ observations ('satellite weather') on a 0.25x0.25 degree grid (near realtime product), provided by WMO Regional Climate Centre (RCC) on Climate Monitoring

Maps of monthly mean surface outgoing longwave radiation derived from METEOSAT-Data by CM-SAF on a 0.25x0.25 degree grid, provided by WMO Regional Climate Centre (RCC) on Climate Monitoring

Maps of monthly mean surface incoming shortwave radiation derived from METEOSAT-Data by CM-SAF on a 0.25x0.25 degree grid, provided by WMO Regional Climate Centre (RCC) on Climate Monitoring

Maps of monthly mean surface net shortwave radiation derived from METEOSAT-Data by CM-SAF on a 0.25x0.25 degree grid, provided by WMO Regional Climate Centre (RCC) on Climate Monitoring

Maps of monthly mean surface net longwave radiation derived from METEOSAT-Data by CM-SAF on a 0.25x0.25 degree grid, provided by WMO Regional Climate Centre (RCC) on Climate Monitoring

This resource contains the monthly mean mean-sea level pressure [Pa] for 6 months. The period of hindcast data is January, 1993 - December, 2019. The format of resource is GRIB2. It is provided through the web site of WMO Lead Centre for LRF MME (Long Range Forecast Multi-Model Ensemble). The web site requests a user account. The Grade A(GPCs) and Grade B(NMHSs, RCCs) users can download the data USAGE: Menu: Data and Plot > Data Exchange > Search/Download. This hindcast data is made by GPC_Offenbach (DWD) using an operational seasonal prediction system. For more detailed information about the seasonal forecasts of GPC_Offenbach (DWD) visit the web site http://www.dwd.de/EN/ourservices/seasonals_forecasts/start.html.

This resource contains the monthly mean 2m temperature [K] for 6 months. The period of hindcast data is January, 1993 - December, 2019. The format of resource is GRIB2. It is provided through the web site of WMO Lead Centre for LRF MME (Long Range Forecast Multi-Model Ensemble). The web site requests a user account. The Grade A(GPCs) and Grade B(NMHSs, RCCs) users can download the data USAGE: Menu: Data and Plot > Data Exchange > Search/Download. This hindcast data is made by GPC_Offenbach (DWD) using an operational seasonal prediction system. For more detailed information about the seasonal forecasts of GPC_Offenbach (DWD) visit the web site http://www.dwd.de/EN/ourservices/seasonals_forecasts/start.html.

This resource contains the monthly mean sea surface temperature [K] for 6 months. The period of hindcast data is January, 1993 - December, 2019. The format of resource is GRIB2. It is provided through the web site of WMO Lead Centre for LRF MME (Long Range Forecast Multi-Model Ensemble). The web site requests a user account. The Grade A(GPCs) and Grade B(NMHSs, RCCs) users can download the data USAGE: Menu: Data and Plot > Data Exchange > Search/Download. This hindcast data is made by GPC_Offenbach (DWD) using an operational seasonal prediction system. For more detailed information about the seasonal forecasts of GPC_Offenbach (DWD) visit the web site http://www.dwd.de/EN/ourservices/seasonals_forecasts/start.html.

This resource contains the monthly mean 500hPa geopotential height [gpm] for 6 months. The format of resource is GRIB2. It is provided through the web site of WMO Lead Centre for LRF MME (Long Range Forecast Multi-Model Ensemble) on about the 15th of each month. The web site requests a user account. The Grade A(GPCs) and Grade B(NMHSs, RCCs) users can download the data USAGE: Menu: Data and Plot > Data Exchange > Search/Download. This forecast data is made by GPC_Offenbach (DWD) using an operational seasonal prediction system. For more detailed information about the seasonal forecasts of GPC_Offenbach (DWD) visit the web site http://www.dwd.de/EN/ourservices/seasonals_forecasts/start.html.