Revealing Invisible Water: Moisture Recycling as an Ecosystem Service

Datacite citation style:
Keys, P.W. (Patrick) (2016): Revealing Invisible Water: Moisture Recycling as an Ecosystem Service. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/uuid:ed07abf7-8593-4c11-9fbd-6b27634530ef
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Delft University of Technology logo

Usage statistics

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views
532
downloads

Geolocation

The data extend from 79.5 degrees N to 57 degrees S, and from 180 degrees W to 178.5 degrees E. including both land and ocean. The data are on a grid, at the 1.5 by 1.5 degree resolution, The World

Time coverage

1997/2014
These data are output from the STEAM+WAM modeling framework described in Keys et al. “Revealing Invisible Water: Moisture Recycling as an Ecosystem Service.” These data can be used to reconstruct the results of the paper (under the “Methods” section entitled “Calculation of VMR ecosystem services”). The files were created in Matlab, and the names of each dataset corresponds to the specific steps in the “Calculation of VMR ecosystem services” section. Addtionally, the datasets with the identifier “Global” in the name refer to global results, whereas the datasets with the identifier ”MatoGrosso” refer to results from the Mato Grosso case study (see paper for more details).

History

  • 2016-03-18 first online, published, posted

Publisher

TU Delft

Format

media types: application/zip, text/csv, text/plain

Organizations

TU Delft, Faculty of Civil Engineering and Geosciences, Department of Water Management, Section Water Resources

Contributors

  • Wang-Erlandsson, L. (Lan) orcid logo

DATA

Files (1)

  • 120,163 bytesMD5:d07a3b56adf21689240301d7affff580data.zip