We use a land surface hydrology model with a predictive phenology model to analyze changes in how vegetation and the atmosphere interact during extreme drought events known as flash droughts. Included
The average of six datasets of ECSIF-based ET at the 0.05° spatial resolution and 8-day temporal resolutions during 2001-2020. These datasets were based on Eddy Covariance measurements, three SIF prod
LAI was modelled for arable land in the northern part of the Rur catchment (fertile loess plain) for the year 2009. Modelled crops are Winter Wheat, Sugar Beet, Maize, and Winter Barley. D
We proposed the distributed dynamic process model (DDPM) and here are the example datasets of our model. Datasets I : Eva_module_datasets.zip: Here are the datasets for running the DDPM Eva module.
