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Title: Evaluating the E3SM land model version 0 (ELMv0) at a temperate forest site using flux and soil water measurements

Abstract

Accurate simulations of soil respiration and carbondioxide (CO2) fluxes are critical to project global biogeochemicalcycles and the magnitude of carbon–climate feedbacks in Earth system models(ESMs). Currently, soil respiration is not represented well in ESMs, and fewstudies have attempted to address this deficiency. In this study, weevaluated the simulation of soil respiration in the Energy Exascale EarthSystem Model (E3SM) land model version 0 (ELMv0) using long-termobservations from the Missouri Ozark AmeriFlux (MOFLUX) forest site in thecentral US. Simulations using the default model parameters underestimatedsoil water potential (SWP) during peak growing seasons and overestimated SWPduring non-growing seasons and consequently underestimated annual soilrespiration and gross primary production (GPP). A site-specific soil waterretention curve greatly improved model simulations of SWP, GPP, and soilrespiration. However, the model continued to underestimate the seasonal andinterannual variabilities and the impact of the extreme drought in 2012.Potential reasons may include inadequate representations of vegetationmortality, the soil moisture function, and the dynamics of microbialorganisms and soil macroinvertebrates. Our results indicate that thesimulations of mean annual GPP and soil respiration can be significantlyimproved by better model representations of the soil water retention curve.

Authors:
ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1];  [3]; ORCiD logo [1]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Environmental Sciences Division and Climate Change Science Inst.
  2. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Environmental Sciences Division and Climate Change Science Inst.; Univ. of Oklahoma, Norman, OK (United States). Inst. for Environmental Genomics and Department of Microbiology and Plant Biology
  3. Univ. of Missouri, Columbia, MO (United States). School of Natural Resources
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
OSTI Identifier:
1511913
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Accepted Manuscript
Journal Name:
Geoscientific Model Development (Online)
Additional Journal Information:
Journal Name: Geoscientific Model Development (Online); Journal Volume: 12; Journal Issue: 4; Journal ID: ISSN 1991-9603
Publisher:
European Geosciences Union
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES

Citation Formats

Liang, Junyi, Wang, Gangsheng, Ricciuto, Daniel M., Gu, Lianhong, Hanson, Paul J., Wood, Jeffrey, and Mayes, Melanie A. Evaluating the E3SM land model version 0 (ELMv0) at a temperate forest site using flux and soil water measurements. United States: N. p., 2019. Web. doi:10.5194/GMD-12-1601-2019.
Liang, Junyi, Wang, Gangsheng, Ricciuto, Daniel M., Gu, Lianhong, Hanson, Paul J., Wood, Jeffrey, & Mayes, Melanie A. Evaluating the E3SM land model version 0 (ELMv0) at a temperate forest site using flux and soil water measurements. United States. doi:10.5194/GMD-12-1601-2019.
Liang, Junyi, Wang, Gangsheng, Ricciuto, Daniel M., Gu, Lianhong, Hanson, Paul J., Wood, Jeffrey, and Mayes, Melanie A. Wed . "Evaluating the E3SM land model version 0 (ELMv0) at a temperate forest site using flux and soil water measurements". United States. doi:10.5194/GMD-12-1601-2019. https://www.osti.gov/servlets/purl/1511913.
@article{osti_1511913,
title = {Evaluating the E3SM land model version 0 (ELMv0) at a temperate forest site using flux and soil water measurements},
author = {Liang, Junyi and Wang, Gangsheng and Ricciuto, Daniel M. and Gu, Lianhong and Hanson, Paul J. and Wood, Jeffrey and Mayes, Melanie A.},
abstractNote = {Accurate simulations of soil respiration and carbondioxide (CO2) fluxes are critical to project global biogeochemicalcycles and the magnitude of carbon–climate feedbacks in Earth system models(ESMs). Currently, soil respiration is not represented well in ESMs, and fewstudies have attempted to address this deficiency. In this study, weevaluated the simulation of soil respiration in the Energy Exascale EarthSystem Model (E3SM) land model version 0 (ELMv0) using long-termobservations from the Missouri Ozark AmeriFlux (MOFLUX) forest site in thecentral US. Simulations using the default model parameters underestimatedsoil water potential (SWP) during peak growing seasons and overestimated SWPduring non-growing seasons and consequently underestimated annual soilrespiration and gross primary production (GPP). A site-specific soil waterretention curve greatly improved model simulations of SWP, GPP, and soilrespiration. However, the model continued to underestimate the seasonal andinterannual variabilities and the impact of the extreme drought in 2012.Potential reasons may include inadequate representations of vegetationmortality, the soil moisture function, and the dynamics of microbialorganisms and soil macroinvertebrates. Our results indicate that thesimulations of mean annual GPP and soil respiration can be significantlyimproved by better model representations of the soil water retention curve.},
doi = {10.5194/GMD-12-1601-2019},
journal = {Geoscientific Model Development (Online)},
number = 4,
volume = 12,
place = {United States},
year = {2019},
month = {4}
}

Journal Article:
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Figures / Tables:

Figure 1 Figure 1: Observed (black dots) and simulated relationship between soil water potential (SWP) and volumetric water content (VWC) by the different models at two soil layers: (a) 0 to 30 cm and (b) below 30 cm.

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    Figures/Tables have been extracted from DOE-funded journal article accepted manuscripts.