Validation of the Community Land Model Version 5 Over the Contiguous United States (CONUS) Using In Situ and Remote Sensing Data Sets

Cheng, Yanyan; Huang, Maoyi; Zhu, Bowen; Bisht, Gautam; Zhou, Tian; Liu, Ying; Song, Fengfei; He, Xiaogang

doi:10.1029/2020JD033539

Validation of the Community Land Model Version 5 Over the Contiguous United States (CONUS) Using In Situ and Remote Sensing Data Sets

Journal Article · Mon Mar 08 23:00:00 EST 2021 · Journal of Geophysical Research: Atmospheres

DOI:https://doi.org/10.1029/2020JD033539· OSTI ID:1786728

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Atmospheric Sciences and Global Change Division Pacific Northwest National Laboratory Richland WA USA
Atmospheric Sciences and Global Change Division Pacific Northwest National Laboratory Richland WA USA, Now at Office of Science and Technology Integration National Weather Service National Oceanic and Atmospheric Administration Silver Spring MD USA
Atmospheric Sciences and Global Change Division Pacific Northwest National Laboratory Richland WA USA, State Key Laboratory of Remote Sensing Science Jointly Sponsored by Beijing Normal University and Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences Beijing China
Water in the West Woods Institute for the Environment Stanford University Stanford CA USA, Now at Department of Civil and Environmental Engineering National University of Singapore Singapore

Abstract

The Community Land Model (CLM) is an effective tool to simulate the biophysical and biogeochemical processes and their interactions with the atmosphere. Although CLM version 5 (CLM5) constitutes various updates in these processes, its performance in simulating energy, water and carbon cycles over the contiguous United States (CONUS) at scales which land surface changes and hydrometeorological and hydroclimatological applications are more locally relevant is yet to be assessed. In this study, we conducted three simulations at 0.125° during 1979–2018 over the CONUS using different configurations of CLM, namely CLM5‐biogeochemistry (CLM5BGC), CLM4.5BGC, and CLM5‐satellite phenology (CLM5SP). We validated and compared their simulations against multiple remote‐sensed and in situ data sets. Overall, the parametric and structural updates (e.g., carbon cost for nitrogen uptake, variable soil thickness, dry surface layer) in CLM5 improve its ability in capturing terrestrial biogeochemical dynamics. The low evapotranspiration in CLM5BGC is associated with biases in simulating vegetation phenological characteristics rather than soil water limitations. The mismatch between CLM5BGC‐simulated peak leaf area index and reference data can be attributed to CLM5BGC's inability in simulating phenology of trees and grasses. The differences between CLM‐simulated irrigation and reference estimates can be attributed to differences between processes represented in models and in reality, and uncertainties in input and validation data sets. Evaluation against observations at small catchments suggest that hydrologic parameters needed to be calibrated to improve simulations of runoff, especially subsurface runoff. Additional efforts are needed to incorporate spatially distributed plant phenology and physiology parameters and regional‐specific agricultural management practices (e.g., planting and harvest).

View Accepted Manuscript (Publisher)

Sponsoring Organization:: USDOE

OSTI ID:: 1786728

Alternate ID(s):: OSTI ID: 1783691

Journal Information:: Journal of Geophysical Research: Atmospheres, Journal Name: Journal of Geophysical Research: Atmospheres Journal Issue: 5 Vol. 126; ISSN 2169-897X

Publisher:: American Geophysical Union (AGU)Copyright Statement

Country of Publication:: United States

Language:: English

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