Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

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

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

Journal of Geophysical Research Atmospheres · 2021

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Summary

This paper presents a comprehensive validation of the Community Land Model version 5 (CLM5) against multiple observational datasets across the contiguous United States over four decades at fine spatial resolution. Whilst parametric and structural updates in CLM5 improved biogeochemical dynamics simulation, the authors identify key deficiencies—particularly in evapotranspiration associated with poor phenology representation in trees and grasses, and in hydrologic parameter calibration for runoff prediction. The findings highlight the necessity for spatially distributed plant phenology parameters and regionally specific agricultural management practice representation in land surface models.

UK applicability

Whilst this study is geographically specific to the contiguous United States, its methodological approach to validating land surface models and its findings on phenology simulation biases may inform similar model development and validation work in the United Kingdom. However, UK-specific validation using British climate data, soil characteristics, and agricultural practices would be required before applying these findings directly to UK conditions.

Key measures

Energy, water and carbon cycle variables; evapotranspiration; vegetation phenological characteristics; leaf area index; irrigation estimates; runoff; subsurface runoff; biophysical and biogeochemical processes

Outcomes reported

The study validated three configurations of the Community Land Model (CLM5BGC, CLM4.5BGC, and CLM5SP) against remote-sensed and in situ data sets over the contiguous United States during 1979–2018 at 0.125° resolution. The research identified specific biases in evapotranspiration, vegetation phenology, leaf area index, and irrigation simulation, and recommended improvements to hydrologic parameters and incorporation of spatially distributed plant phenology and agricultural management practices.

Theme
Climate & resilience
Subject
Climate & greenhouse gas mitigation
Study type
Research
Study design
Model validation study
Source type
Peer-reviewed study
Status
Published
Geography
United States
System type
Other
DOI
10.1029/2020jd033539
Catalogue ID
SNmokeh1bg-zgc0qr

Topic tags

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