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In Situ Soil Moisture Sensors in Undisturbed Soils

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Published on: November 18, 2022

Water cycle changes in reanalyses: a complementary framework.

Mijael Rodrigo Vargas Godoy¹, Yannis Markonis²

¹Faculty of Environmental Sciences, Czech University of Life Sciences Prague, Kamýcká 129, 165 00, Praha-Suchdol, Czech Republic. vargas_godoy@fzp.czu.cz.

Scientific Reports

|March 24, 2023

Summary

Climate reanalyses improve global water cycle understanding. A new framework evaluating precipitation and evaporation fluxes reveals discrepancies, enhancing reanalysis performance assessment and water cycle change insights.

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Area of Science:

Earth System Science
Climate Science
Hydrology

Background:

Climate reanalyses provide extensive global data, crucial for understanding the water cycle, especially in unmonitored regions.
Despite improvements, varying performance and uncertainties in reanalysis datasets limit their precise application in water cycle studies.

Purpose of the Study:

To introduce and apply a framework using precipitation and evaporation fluxes (sum and difference) to better constrain uncertainties in climate reanalyses.
To evaluate the performance of four major reanalysis datasets (20CR v3, ERA-20C, ERA5, NCEP1) concerning global water cycle changes.

Main Methods:

Physically defining and analyzing the sum and difference of precipitation and evaporation fluxes across four reanalysis datasets.
Comparing the response of these water cycle fluxes to temperature increases between 1950 and 2010 across the selected datasets.

Main Results:

Four distinct responses to temperature increase were observed among the reanalysis datasets regarding water cycle fluxes.
ERA5 demonstrated the strongest agreement with the water cycle acceleration hypothesis, indicating improved performance.
The proposed framework effectively unveiled discrepancies in the datasets that might otherwise be overlooked.

Conclusions:

The developed framework enhances the evaluation of climate reanalysis performance for water cycle studies.
Implementing this framework improves the understanding of global water cycle changes and aids in selecting reliable reanalysis data.