DeepRainForest Output Data : Simulated daily rainfall output (2001-2020) under observed tree cover and no deforestation scenarios in South America

This dataset deposited contains simulation data related to the analysis of forest-rainfall relationships and the impact of historical deforestation on rainfall patterns in South America. The data includes outputs from a spatiotemporal neural network model, DeepRainForest, developed to simulate rainfall based on vegetation and climate inputs in South America. This dataset is the data necessary to recreate the figures that appear in an accepted (but yet to be published manuscript) in Global Change Biology titled "Assessing the impact of past and ongoing deforestation on rainfall patterns in South America". When the manuscript is accepted then the article will be linked from here.

DeepRainForest_daily_rainfall_with_observed_treecover.nc: contains simulated daily rainfall data spanning from 2001 to 2020, considering the observed tree cover. 

DeepRainForest_daily_rainfall_with_2000_treecover.nc: contains simulated daily rainfall output for the same time period (2001-2020) but assumes no deforestation from 2000 onwards. 

DeepRainForest_daily_rainfall_with_1982_treecover.nc:contains simulated daily rainfall output for the same time period (2001-2020) but assumes no deforestation from 1982 onwards.