Calculated asymmetries in topography and environmental variables over the entire Earth, 0.25 dd spatial resolution. Associated with the paper: Smith, T., & Bookhagen, B. (2020). Climatic and biotic controls on topographic asymmetry at the global scale. Journal of Geophysical Research: Earth Surface, 126, e2020JF005692. https://doi.org/10.1029/2020JF005692 Individual file descriptions: 1. DrainageArea_Key -- Metadata for the files DrainageAsymmetries*.csv 2. DrainageAsymmetries_0.01_1_Hill.csv -- Drainage area statistics for only hillslopes (0.01 to 1 sq km drainage area threshold) 3. DrainageAsymmetries_0.1_100_Fluvial.csv -- Drainage area statistics for only fluvial network (0.1 to 100 sq km drainage area threshold) 4. Topography_Key.csv -- Metadata for the files TopoClimateAsymmetries.csv and Insolation_Asymmetries_1hr_pvlib.csv 5. TopoClimateAsymmetries.csv -- Environmental, Climatic, and Topographic variables calculated over the entire Earth 6. Insolation_Asymmetries_1hr_pvlib.csv - Results of a received insolation simulation using PVLIB (Holmgren et al., 2018) for inclined surfaces based on our average topography over the globe 7. Gridding_Command.txt -- A short Python script illustrating how to convert the CSV files into gridded TIF files for further visualization 8. TA/VCF _ NvS/EvW - North-south and east-west asymmetries in topographic asymmetry (TA) and vegetation cover (VCF), provided as TIF files for convenience

{"references": ["William F. Holmgren, Clifford W. Hansen, and Mark A. Mikofski. \"pvlib python: a python package for modeling solar energy systems.\" Journal of Open Source Software, 3(29), 884, (2018). https://doi.org/10.21105/joss.00884"]}