Hourly potential evapotranspiration at 0.1˚ resolution for the global land surface from 1981-present

Singer, Michael Bliss ORCID: https://orcid.org/0000-0002-6899-2224, Asfaw, Dagmawi Teklu, Rosolem, Rafael, Cuthbert, Mark O. ORCID: https://orcid.org/0000-0001-6721-022X, Miralles, Diego G., MacLeod, David ORCID: https://orcid.org/0000-0001-5504-6450, Quichimbo, Edisson Andres and Michaelides, Katerina 2021. Hourly potential evapotranspiration at 0.1˚ resolution for the global land surface from 1981-present. Scientific Data 8 , 224. 10.1038/s41597-021-01003-9

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Abstract

Challenges exist for assessing the impacts of climate and climate change on the hydrological cycle on local and regional scales, and in turn on water resources, food, energy, and natural hazards. Potential evapotranspiration (PET) represents atmospheric demand for water, which is required at high spatial and temporal resolutions to compute actual evapotranspiration and thus close the water balance near the land surface for many such applications, but there are currently no available high-resolution datasets of PET. Here we develop an hourly PET dataset (hPET) for the global land surface at 0.1° spatial resolution, based on output from the recently developed ERA5-Land reanalysis dataset, over the period 1981 to present. We show how hPET compares to other available global PET datasets, over common spatiotemporal resolutions and time frames, with respect to spatial patterns of climatology and seasonal variations for selected humid and arid locations across the globe. We provide the data for users to employ for multiple applications to explore diurnal and seasonal variations in evaporative demand for water.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Earth and Environmental Sciences Water Research Institute (WATER)
Publisher:	Nature Research
ISSN:	2052-4463
Funders:	NERC
Date of First Compliant Deposit:	6 July 2021
Date of Acceptance:	1 July 2021
Last Modified:	25 Jun 2024 11:15
URI:	https://orca.cardiff.ac.uk/id/eprint/142434

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