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 stats
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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
licence
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)