Articles | Volume 12, issue 3
https://doi.org/10.5194/essd-12-1897-2020
https://doi.org/10.5194/essd-12-1897-2020
Data description paper
 | 
27 Aug 2020
Data description paper |  | 27 Aug 2020

The fate of land evaporation – a global dataset

Andreas Link, Ruud van der Ent, Markus Berger, Stephanie Eisner, and Matthias Finkbeiner

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Cited articles

Adler, R. F., Huffman, G. J., Chang, A., Ferraro, R., Xie, P. P., Janowiak, J., Rudolf, B., Schneider, U., Curtis, S., Bolvin, D., Gruber, A., Susskind, J., Arkin, P., and Nelkin, E.: The version-2 global precipitation climatology project (GPCP) monthly precipitation analysis (1979–present), J. Hydrometeorol., 4, 1147–1167, https://doi.org/10.1175/1525-7541(2003)004<1147:TVGPCP>2.0.CO;2, 2003. 
Bagley, J. E., Desai, A. R., Dirmeyer, P. A., and Foley, J. A.: Effects of land cover change on moisture availability and potential crop yield in the worlds breadbaskets, Environ. Res. Lett., 7, 014009, https://doi.org/10.1088/1748-9326/7/1/014009, 2012. 
Berger, M., Van der Ent, R., Eisner, S., Bach, V., and Finkbeiner, M.: Water accounting and vulnerability evaluation (WAVE): Considering atmospheric evaporation recycling and the risk of freshwater depletion in water footprinting, Environ. Sci. Technol., 48, 4521–4528, https://doi.org/10.1021/es404994t, 2014. 
Berger, M., Eisner, S., Van der Ent, R., Flörke, M., Link, A., Poligkeit, J., Bach, V., and Finkbeiner, M.: Enhancing the Water Accounting and Vulnerability Evaluation Model: WAVE+, Environ. Sci. Technol., 52, 10757–10766, https://doi.org/10.1021/acs.est.7b05164, 2018. 
Berrisford, P., Dee, D. P., Poli, P., Brugge, R., Fielding, K., Fuentes, M., Kållberg, P., Kobayashi, S., Uppala, S., and Simmons, A.: The ERA-Interim archive Version 2.0. ERA Report Series 1, available at: http://www.ecmwf.int/en/elibrary/8174-era-interim-archive-version-20 (last access: 27 September 2019), 2011. 
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Short summary
This work provides a global dataset on the fate of land evaporation for a fine-meshed grid of source and receptor cells. The dataset was created through a global run of the numerical moisture-tracking model WAM-2layers. The dataset could be used for investigations into average annual, seasonal, and interannual sink and source regions of atmospheric moisture from land masses for most of the regions in the world and comes with example scripts for the readout and plotting of the data.
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