Evidence map›Paper›PMID 34429438›Full record

ArticleScientific data2021

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

Michael Bliss Singer, Dagmawi Teklu Asfaw, Rafael Rosolem, Mark O Cuthbert, Diego G Miralles, David MacLeod, Edisson Andres Quichimbo, Katerina Michaelides

Open access · goldAbstract read
In one paragraph

Article in Scientific data, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
14.6field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 199 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 4 countries.

Michael Bliss SingerSchool of Earth and Environmental Sciences, Cardiff University, Cardiff, CF10 3AT, United Kingdom. bliss@eri.ucsb.edu.ORCID 0000-0002-6899-2224
Dagmawi Teklu AsfawSchool of Geographical Sciences, University of Bristol, Bristol, BS8 1SS, United Kingdom.
Rafael RosolemDepartment of Civil Engineering, University of Bristol, BS8 1TR, Bristol, United Kingdom.
Mark O CuthbertSchool of Earth and Environmental Sciences, Cardiff University, Cardiff, CF10 3AT, United Kingdom.ORCID 0000-0001-6721-022X
Diego G MirallesHydro-Climate Extremes Lab (H-CEL), Ghent University, Ghent, 9000, Belgium.ORCID 0000-0001-6186-5751
David MacLeodSchool of Geographical Sciences, University of Bristol, Bristol, BS8 1SS, United Kingdom.
Edisson Andres QuichimboSchool of Earth and Environmental Sciences, Cardiff University, Cardiff, CF10 3AT, United Kingdom.ORCID 0000-0002-6811-3189
Katerina MichaelidesEarth Research Institute, University of California Santa Barbara, Santa Barbara, CA, 93106, USA.
University of Bristol · GBUniversity of California, Santa Barbara · USCardiff University · GBGhent University · BEUNSW Sydney · AU

Funding

EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 869550European Research CouncilRCUK | Natural Environment Research Council (NERC) NE/P017819/1RCUK | Natural Environment Research Council (NERC) NE/R004897/1Royal Society CHL\R1\180485United States Department of Defense | Strategic Environmental Research and Development Program (SERDP) RC18-C2-1006
6 · The paper itself

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.

Identifiers

PMID34429438
PMCPMC8385079
OpenAlexW3195085957

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.