Tag: ERA5-Land

A 15-year evaluation against 14 weather stations found that ERA5-Land generally estimated Mato Grosso’s monthly mean air temperature within 1.0 ...

A new study in Shanxi Province shows that combining satellite soil moisture, ERA5-Land reanalysis data, and XGBoost machine learning improves ...

A study in Theoretical and Applied Climatology by Peter Nojarov and colleagues at the Climate, Atmosphere and Water Research Institute ...

Scientists digitized nearly 10,000 handwritten weather sheets from Congolese archives, producing over one million daily observations that reveal clear warming ...

A benchmark of deep learning and tree-based models shows that one-month drought early warning is achievable in Morocco's Atlas mountains, ...

A hybrid deep learning framework combining two complementary LSTM models with Bayesian ensemble stacking predicts winter road surface temperature more ...

Chinese researchers have developed FAELSTM, a dual-attention deep learning framework that outperforms existing models in forecasting agricultural drought by filtering ...

A new dataset fuses satellite gravity measurements with meteorological data to reconstruct two decades of snow water equivalent, depth, and ...

Researchers have used machine learning and global energy records to create the first worldwide dataset of the outdoor temperature thresholds ...

A new 45-year, high-resolution precipitation reanalysis for North America directly assimilates thousands of ground-station observations, outperforming major global datasets in ...