Soil Moisture-Temperature Coupling in a Set of Land Surface Models

A. I. Gevaert, D. G. Miralles, R. A.M. de Jeu, J. Schellekens, A. J. Dolman

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

The land surface controls the partitioning of water and energy fluxes and therefore plays a crucial role in the climate system. The coupling between soil moisture and air temperature, in particular, has been shown to affect the severity and occurrence of temperature extremes and heat waves. Here we study soil moisture-temperature coupling in five land surface models, focusing on the terrestrial segment of the coupling in the warm season. All models are run off-line over a common period with identical atmospheric forcing data, in order to allow differences in the results to be attributed to the models' partitioning of energy and water fluxes. Coupling is calculated according to two semiempirical metrics, and results are compared to observational flux tower data. Results show that the locations of the global hot spots of soil moisture-temperature coupling are similar across all models and for both metrics. In agreement with previous studies, these areas are located in transitional climate regimes. The magnitude and local patterns of model coupling, however, can vary considerably. Model coupling fields are compared to tower data, bearing in mind the limitations in the geographical distribution of flux towers and the differences in representative area of models and in situ data. Nevertheless, model coupling correlates in space with the tower-based results (r = 0.5–0.7), with the multimodel mean performing similarly to the best-performing model. Intermodel differences are also found in the evaporative fractions and may relate to errors in model parameterizations and ancillary data of soil and vegetation characteristics.

Original languageEnglish
Pages (from-to)1481-1498
Number of pages18
JournalJournal of Geophysical Research: Atmospheres
Volume123
Issue number3
Early online date28 Dec 2017
DOIs
Publication statusPublished - 16 Feb 2018

Fingerprint

soil moisture
Soil moisture
land surface
soil water
towers
temperature
Towers
Temperature
Fluxes
climate
partitioning
Geographical distribution
control surfaces
Water
Control surfaces
atmospheric forcing
soil air
energy
warm season
vegetation

Keywords

  • eartH2Observe
  • land surface models
  • land-atmosphere interactions
  • soil moisture
  • temperature

Cite this

Gevaert, A. I. ; Miralles, D. G. ; de Jeu, R. A.M. ; Schellekens, J. ; Dolman, A. J. / Soil Moisture-Temperature Coupling in a Set of Land Surface Models. In: Journal of Geophysical Research: Atmospheres. 2018 ; Vol. 123, No. 3. pp. 1481-1498.
@article{437ffbad231340e19ba732b1d6ef41bf,
title = "Soil Moisture-Temperature Coupling in a Set of Land Surface Models",
abstract = "The land surface controls the partitioning of water and energy fluxes and therefore plays a crucial role in the climate system. The coupling between soil moisture and air temperature, in particular, has been shown to affect the severity and occurrence of temperature extremes and heat waves. Here we study soil moisture-temperature coupling in five land surface models, focusing on the terrestrial segment of the coupling in the warm season. All models are run off-line over a common period with identical atmospheric forcing data, in order to allow differences in the results to be attributed to the models' partitioning of energy and water fluxes. Coupling is calculated according to two semiempirical metrics, and results are compared to observational flux tower data. Results show that the locations of the global hot spots of soil moisture-temperature coupling are similar across all models and for both metrics. In agreement with previous studies, these areas are located in transitional climate regimes. The magnitude and local patterns of model coupling, however, can vary considerably. Model coupling fields are compared to tower data, bearing in mind the limitations in the geographical distribution of flux towers and the differences in representative area of models and in situ data. Nevertheless, model coupling correlates in space with the tower-based results (r = 0.5–0.7), with the multimodel mean performing similarly to the best-performing model. Intermodel differences are also found in the evaporative fractions and may relate to errors in model parameterizations and ancillary data of soil and vegetation characteristics.",
keywords = "eartH2Observe, land surface models, land-atmosphere interactions, soil moisture, temperature",
author = "Gevaert, {A. I.} and Miralles, {D. G.} and {de Jeu}, {R. A.M.} and J. Schellekens and Dolman, {A. J.}",
year = "2018",
month = "2",
day = "16",
doi = "10.1002/2017JD027346",
language = "English",
volume = "123",
pages = "1481--1498",
journal = "Journal of Geophysical Research. Atmospheres",
issn = "2169-897X",
publisher = "American Geophysical Union",
number = "3",

}

Soil Moisture-Temperature Coupling in a Set of Land Surface Models. / Gevaert, A. I.; Miralles, D. G.; de Jeu, R. A.M.; Schellekens, J.; Dolman, A. J.

In: Journal of Geophysical Research: Atmospheres, Vol. 123, No. 3, 16.02.2018, p. 1481-1498.

Research output: Contribution to JournalArticleAcademicpeer-review

TY - JOUR

T1 - Soil Moisture-Temperature Coupling in a Set of Land Surface Models

AU - Gevaert, A. I.

AU - Miralles, D. G.

AU - de Jeu, R. A.M.

AU - Schellekens, J.

AU - Dolman, A. J.

PY - 2018/2/16

Y1 - 2018/2/16

N2 - The land surface controls the partitioning of water and energy fluxes and therefore plays a crucial role in the climate system. The coupling between soil moisture and air temperature, in particular, has been shown to affect the severity and occurrence of temperature extremes and heat waves. Here we study soil moisture-temperature coupling in five land surface models, focusing on the terrestrial segment of the coupling in the warm season. All models are run off-line over a common period with identical atmospheric forcing data, in order to allow differences in the results to be attributed to the models' partitioning of energy and water fluxes. Coupling is calculated according to two semiempirical metrics, and results are compared to observational flux tower data. Results show that the locations of the global hot spots of soil moisture-temperature coupling are similar across all models and for both metrics. In agreement with previous studies, these areas are located in transitional climate regimes. The magnitude and local patterns of model coupling, however, can vary considerably. Model coupling fields are compared to tower data, bearing in mind the limitations in the geographical distribution of flux towers and the differences in representative area of models and in situ data. Nevertheless, model coupling correlates in space with the tower-based results (r = 0.5–0.7), with the multimodel mean performing similarly to the best-performing model. Intermodel differences are also found in the evaporative fractions and may relate to errors in model parameterizations and ancillary data of soil and vegetation characteristics.

AB - The land surface controls the partitioning of water and energy fluxes and therefore plays a crucial role in the climate system. The coupling between soil moisture and air temperature, in particular, has been shown to affect the severity and occurrence of temperature extremes and heat waves. Here we study soil moisture-temperature coupling in five land surface models, focusing on the terrestrial segment of the coupling in the warm season. All models are run off-line over a common period with identical atmospheric forcing data, in order to allow differences in the results to be attributed to the models' partitioning of energy and water fluxes. Coupling is calculated according to two semiempirical metrics, and results are compared to observational flux tower data. Results show that the locations of the global hot spots of soil moisture-temperature coupling are similar across all models and for both metrics. In agreement with previous studies, these areas are located in transitional climate regimes. The magnitude and local patterns of model coupling, however, can vary considerably. Model coupling fields are compared to tower data, bearing in mind the limitations in the geographical distribution of flux towers and the differences in representative area of models and in situ data. Nevertheless, model coupling correlates in space with the tower-based results (r = 0.5–0.7), with the multimodel mean performing similarly to the best-performing model. Intermodel differences are also found in the evaporative fractions and may relate to errors in model parameterizations and ancillary data of soil and vegetation characteristics.

KW - eartH2Observe

KW - land surface models

KW - land-atmosphere interactions

KW - soil moisture

KW - temperature

UR - http://www.scopus.com/inward/record.url?scp=85041195426&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85041195426&partnerID=8YFLogxK

U2 - 10.1002/2017JD027346

DO - 10.1002/2017JD027346

M3 - Article

VL - 123

SP - 1481

EP - 1498

JO - Journal of Geophysical Research. Atmospheres

JF - Journal of Geophysical Research. Atmospheres

SN - 2169-897X

IS - 3

ER -