A Decadal prediction data set of several atmospheric and oceanic variables is here presented for climate studies and comparisons. Predictions are performed one time every 5 years, with start date on Nov 1st, and integrated for twenty years. Each prediction is constituted of three ensemble members to have a minimal sample of the uncertainty on the initial conditions. The sampled variables are: The sampled variables are: - Specific Humidity (Q) - Relative Humidity (RH) - Temperature (T) - Zonal Wind (U) - Meridional Wind (V) - Surface temperature (surf_temp) - Zonal Wind at 10m (u10) - Meridional Wind at 10m (v10). The decadal predictions data are available for download on demand only. Please contact Andrea Borrelli at [email protected] to place your request. This data set has been produced in the framework of the "Climate change predictions in Sub-Saharan Africa: impacts and adaptations (ClimAfrica)" project, Work Package 2 (WP2). More information on ClimAfrica project is provided in the Supplemental Information section of this metadata.

A global daily database of satellite soil moisture based on harmonizing multiple passive (SSMR, SSM/I, TRMM, AMSRE, WINDSAT) and active (ERS, MATOP) satellite products. This data set has been produced in the framework of the "Climate change predictions in Sub-Saharan Africa: impacts and adaptations (ClimAfrica)" project, Work Package 1 (WP1). WP1 (Past climate variability) aimed to provide consolidated data to other WPs in ClimAfrica, and to analyze the interactions between climate variability, water availability and ecosystem productivity of Sub-Saharan Africa. Various data streams that diagnose the variability of the climate, in particular the water cycle, and the productivity of ecosystems in the past decades, have been collected, analyzed and synthesized. The data streams range from ground-based observations and satellite remote sensing to model simulations. More information on ClimAfrica project is provided in the Supplemental Information section of this metadata.

A seasonal forecast dataset of several atmospheric and oceanic variables is here presented for climate studies and comparisons. Forecasts are performed four times a year, with start dates on Feb 1st, May 1st, Aug 1st, Nov 1st, and integrated for six months. Each forecast is constituted of nine ensemble members to sample the uncertainty on the initial conditions. The sampled variables are: - Specific Humidity (Q) - Relative Humidity (RH) - Temperature (T) - Zonal Wind (U) - Meridional Wind (V) - Surface temperature (surf_temp) - Zonal Wind at 10m (u10) - Meridional Wind at 10m (v10). The seasonal forecast datasets are available for download on demand only. Please contact Stefano Materia at [email protected] to place your request. This data set has been produced in the framework of the "Climate change predictions in Sub-Saharan Africa: impacts and adaptations (ClimAfrica)" project, Work Package 2 (WP2). More information on ClimAfrica project is provided in the Supplemental Information section of this metadata.

The whole set of simulated data contains over 400 Gb (hourly data for 10 years) after conversion to ASCII format. Warning: These "data" are not based on reanalysis of observations, but just on modeling with initial and boundary conditions from CMCC-CPS output. The high resolution modeling is an experiment. Especially the calculated precipitation may have systematic deviations from the observations. The purpose of these synthetic data is to test the merit or lack of merit of high-resolution modeling. The model grid is not aligned with latitude and longitude, so interpolation of the data may be necessary. The output is stored in separate files for each grid. Data content: 1.Temperature at 20 m (°C); 2. Specific humidity at 20 m (g/kg); 3. Wind speed at 20 m; 4. Wind direction at 20 m; 5. Short wave radiation (W/m2); 6. Sensible heat flux (W/m2); 7. Latent heat flux (W/m2, can be converted directly to evaporation in mm/h); 8. Cumulated precipitation (mm); Data storage: presently the data are stored in binary files. For each month there are 4 files: one file per ½ calender month - grid - combination. After conversion to text format, the size is about 2.5 Mb (outer grid) or almost 2 Mb (inner grid) for each simulated hour. The size of the whole set converted to ASCII is over 400 Gb. The simulated weather data or data-excerpts can be made available on demand only. Please contact Antoon Meesters at [email protected] to place your request. This data model has been produced in the framework of the "Climate change predictions in Sub-Saharan Africa: impacts and adaptations (ClimAfrica)" project, Work Package 2 (WP2). More information on ClimAfrica project is provided in the Supplemental Information section of this metadata.