Terrestrial water loss at night: Global relevance from observations and climate models

16Citations
Citations of this article
31Readers
Mendeley users who have this article in their library.

Abstract

Nocturnal water loss (NWL) from the surface into the atmosphere is often overlooked because of the absence of solar radiation to drive evapotranspiration and the measuring difficulties involved. However, growing evidence suggests that NWL-and particularly nocturnal transpiration-represents a considerable fraction of the daily values. Here we provide a global overview of the characteristics of NWL based on latent heat flux estimates from the FLUXNET2015 dataset, as well as from simulations of global climate models. Eddy-covariance measurements at 99 sites indicate that NWL represents 6.3% of total evapotranspiration on average. There are six sites where NWL is higher than 15%; these sites comprise mountain forests with considerable NWL during winter that is related to snowy and windy conditions. Higher temperature, vapor pressure deficit, wind speed, soil moisture, and downward longwave radiation are related to higher NWL, although this is not consistent across all of the sites. On the other hand, the global multi-model mean of terrestrial NWL is 7.9% of the total evapotranspiration. The spread of the model ensemble, however, is greater than 15.8% over half of the land grid cells. Finally, NWL is projected to increase everywhere with an average of 1.8%, although with a substantial inter-model spread. Changes in NWL contribute substantially to projected changes in total evapotranspiration. Overall, this study highlights the relevance of water loss during the night and opens avenues to explore its influence on the water cycle and the climate system under present and future conditions.

Cite

CITATION STYLE

APA

Padrón, R. S., Gudmundsson, L., Michel, D., & Seneviratne, S. I. (2020). Terrestrial water loss at night: Global relevance from observations and climate models. Hydrology and Earth System Sciences, 24(2), 793–807. https://doi.org/10.5194/hess-24-793-2020

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free