Global daily 1 km land surface precipitation based on cloud cover-informed downscaling

Dirk Nikolaus Karger; Adam M. Wilson; Colin Mahony; Niklaus E. Zimmermann; Walter Jetz

doi:10.1038/s41597-021-01084-6

Scientific Data (Nov 2021)

Global daily 1 km land surface precipitation based on cloud cover-informed downscaling

Dirk Nikolaus Karger,
Adam M. Wilson,
Colin Mahony,
Niklaus E. Zimmermann,
Walter Jetz

Affiliations

Dirk Nikolaus Karger: Swiss Federal Research Institute for Forest, Snow, and Landscape Research (WSL)
Adam M. Wilson: Department of Geography, University at Buffalo
Colin Mahony: Center for Biodiversity and Global Change, Yale University
Niklaus E. Zimmermann: Swiss Federal Research Institute for Forest, Snow, and Landscape Research (WSL)
Walter Jetz: Department of Ecology and Evolutionary Biology, Yale University

DOI: https://doi.org/10.1038/s41597-021-01084-6
Journal volume & issue: Vol. 8, no. 1
pp. 1 – 18

Abstract

Read online

Measurement(s) hydrological precipitation process Technology Type(s) cloud-cover informed downscaling Factor Type(s) temporal interval • geographic location Sample Characteristic - Environment climate system • cloud Sample Characteristic - Location global Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.16910344

Published in Scientific Data

ISSN: 2052-4463 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/sdata/

About the journal