Deciphering the role of evapotranspiration in declining relative humidity trends over land

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Authors

Yeonuk Kim , Mark Johnson 

Abstract

In recent decades, relative humidity (RH) over land has declined, driving increases in droughts and wildfires. Previous explanations attribute this trend to insufficient moisture advection from the ocean to sustain RH over land, but this ignores atmospheric moisture supplied from terrestrial evapotranspiration (E). While state-of-the-art climate models underestimate this RH trend, the reason behind this discrepancy remains unclear. Here, we decipher the influence of E on near-surface humidity using observations, reanalysis, and climate simulations. Global E in reanalysis has remained fairly steady in recent decades. Consequently, changes in ocean advection can reproduce observed RH declines without considering changes in E. Conversely, climate simulations estimate significant increases in E in recent decades, leading to model-based underestimation of observed RH declines. These findings suggest E intensifications may be overestimated in current climate models, thus underestimating coupled land-atmosphere drying in model output. We also highlight an upper limit of E change under observed RH trends, which could help benchmark global E trend analyses.

DOI

https://doi.org/10.31223/X5XM5W

Subjects

Physical Sciences and Mathematics

Keywords

evapotranspiration, relative humidity, climate change

Dates

Published: 2024-02-23 22:44

Last Updated: 2024-03-28 07:25

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License

CC-By Attribution-NonCommercial-NoDerivatives 4.0 International

Additional Metadata

Conflict of interest statement:
None

Data Availability (Reason not available):
All data used in the main text and the supplementary materials are publicly available. The FLUXNET2015 dataset can be obtained from the FLUXNET data portal (https://fluxnet.org/data/fluxnet2015-dataset/), the ERA5 reanalysis data can be obtained from CDS of ECMWF (https://doi.org/10.24381/cds.f17050d7), the JRA-3Q reanalysis data can be obtained from DIAS (https://doi.org/10.20783/DIAS.645), the CMIP6 models outputs can be obtained from CDS of the ECMWF (https://doi.org/10.24381/cds.c866074c).