This dataset provides a record of fuel characteristics at high spatiotemporal resolution: ~9km, daily. The two main variable groups are fuel load and fuel moisture, both of which are further divided by live/dead and wood/foliage fractions. The dataset combines state-of-the-art model data (ERA5-Land...

The Sub-seasonal to Seasonal (S2S) prediction project is a joint initiative of the World Weather Research Programme (WWRP) and the World Climate Research Programme (WCRP). The goal of S2S is to improve the forecast skill and understanding on the sub-seasonal to seasonal timescale, and to promote its...

The International Grand Global Ensemble (TIGGE) dataset consists of global medium-range ensemble forecasts from thirteen numerical weather prediction (NWP) centres, starting since October 2006. TIGGE was established as a key component of THORPEX: a World Weather Research Programme to accelerate the...

The International Grand Global Ensemble (TIGGE) dataset consists of global medium-range ensemble forecasts from thirteen numerical weather prediction (NWP) centres, starting since October 2006. TIGGE was established as a key component of THORPEX: a World Weather Research Programme to accelerate the...

The Sub-seasonal to Seasonal(S2S) dataset consists of global ensemble forecasts from thirteen numerical weather prediction (NWP) centres, starting since January 2015. The S2S prediction project is a joint initiative of the World Weather Research Programme (WWRP) and the World Climate Research Progr...

The Sub-seasonal to Seasonal (S2S) prediction project is a joint initiative of the World Weather Research Programme (WWRP) and the World Climate Research Programme (WCRP). The goal of S2S is to improve the forecast skill and understanding on the sub-seasonal to seasonal timescale, and to promote its...