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Updated: Oct 23, 2025

Exploring the Effects of Atmospheric Forcings on Evaporation: Experimental Integration of the Atmospheric Boundary Layer and Shallow Subsurface
Published on: June 8, 2015
Hourly potential evapotranspiration at 0.1° resolution for the global land surface from 1981-present
Michael Bliss Singer1,2,3, Dagmawi Teklu Asfaw4, Rafael Rosolem5,6
1School of Earth and Environmental Sciences, Cardiff University, Cardiff, CF10 3AT, United Kingdom. bliss@eri.ucsb.edu.
A new hourly global dataset of potential evapotranspiration (PET) offers high-resolution insights into water demand. This data aids in understanding climate change impacts on water resources, food, and energy systems.
Area of Science:
- Hydrology
- Climate Science
- Environmental Science
Background:
- Assessing climate change impacts on the hydrological cycle requires high-resolution data on atmospheric water demand.
- Potential evapotranspiration (PET) is crucial for water balance calculations but lacks readily available high-resolution datasets.
- Existing PET datasets often do not meet the spatial and temporal resolution needs for local and regional impact assessments.
Purpose of the Study:
- To develop a novel, high-resolution, hourly global dataset of potential evapotranspiration (hPET).
- To provide data suitable for analyzing diurnal and seasonal variations in evaporative demand.
- To support research on climate change impacts on water resources, food, energy, and natural hazards.
Main Methods:
- Utilized the ERA5-Land reanalysis dataset to develop the hPET dataset.
- Generated hourly PET data at a 0.1° spatial resolution for the global land surface.
- Compared the new hPET dataset with existing global PET datasets for climatology and seasonal variations.
Main Results:
- Developed the first hourly global land surface PET dataset (hPET) at 0.1° resolution.
- Demonstrated the dataset's utility by comparing its spatial patterns and seasonal variations with other global PET products.
- Highlighted the capability of hPET to capture diurnal and seasonal dynamics of evaporative demand.
Conclusions:
- The hPET dataset fills a critical gap in high-resolution hydrological data availability.
- This dataset will enable more accurate assessments of climate and climate change impacts on water-related systems.
- Researchers can now explore diurnal and seasonal water availability with unprecedented detail.
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