Validation of the Community Land Model Version 5 Over the Contiguous United States (CONUS) Using In Situ and Remote Sensing Data Sets
Abstract
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 andmore »
- Authors:
-
[1];
[2];
[3];
[1];
[1];
[1];
[1];
[4]
- 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
- Publication Date:
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1786728
- Grant/Contract Number:
- 59534
- Resource Type:
- Publisher's Accepted Manuscript
- Journal Name:
- Journal of Geophysical Research: Atmospheres
- Additional Journal Information:
- Journal Name: Journal of Geophysical Research: Atmospheres Journal Volume: 126 Journal Issue: 5; Journal ID: ISSN 2169-897X
- Publisher:
- American Geophysical Union (AGU)
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Cheng, Yanyan, Huang, Maoyi, Zhu, Bowen, Bisht, Gautam, Zhou, Tian, Liu, Ying, Song, Fengfei, and He, Xiaogang. Validation of the Community Land Model Version 5 Over the Contiguous United States (CONUS) Using In Situ and Remote Sensing Data Sets. United States: N. p., 2021.
Web. doi:10.1029/2020JD033539.
Cheng, Yanyan, Huang, Maoyi, Zhu, Bowen, Bisht, Gautam, Zhou, Tian, Liu, Ying, Song, Fengfei, & He, Xiaogang. Validation of the Community Land Model Version 5 Over the Contiguous United States (CONUS) Using In Situ and Remote Sensing Data Sets. United States. https://doi.org/10.1029/2020JD033539
Cheng, Yanyan, Huang, Maoyi, Zhu, Bowen, Bisht, Gautam, Zhou, Tian, Liu, Ying, Song, Fengfei, and He, Xiaogang. Tue .
"Validation of the Community Land Model Version 5 Over the Contiguous United States (CONUS) Using In Situ and Remote Sensing Data Sets". United States. https://doi.org/10.1029/2020JD033539.
@article{osti_1786728,
title = {Validation of the Community Land Model Version 5 Over the Contiguous United States (CONUS) Using In Situ and Remote Sensing Data Sets},
author = {Cheng, Yanyan and Huang, Maoyi and Zhu, Bowen and Bisht, Gautam and Zhou, Tian and Liu, Ying and Song, Fengfei and He, Xiaogang},
abstractNote = {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).},
doi = {10.1029/2020JD033539},
journal = {Journal of Geophysical Research: Atmospheres},
number = 5,
volume = 126,
place = {United States},
year = {Tue Mar 09 00:00:00 EST 2021},
month = {Tue Mar 09 00:00:00 EST 2021}
}
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Representing a new MODIS consistent land surface in the Community Land Model (CLM 3.0)
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The impact of new land surface physics on the GCM simulation of climate and climate sensitivity
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Comparisons of land cover and LAI estimates derived from ETM+ and MODIS for four sites in North America: a quality assessment of 2000/2001 provisional MODIS products
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Development and validation of the global map of irrigation areas
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Important factors in land–atmosphere interactions: surface runoff generations and interactions between surface and groundwater
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Cover Crops May Cause Winter Warming in Snow-Covered Regions
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Role of clouds and land-atmosphere coupling in midlatitude continental summer warm biases and climate change amplification in CMIP5 simulations
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Parameterization improvements and functional and structural advances in Version 4 of the Community Land Model
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The Project for Intercomparison of Land Surface Parameterization Schemes (PILPS): Phases 2 and 3
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New Soil Property Database Improves Oklahoma Mesonet Soil Moisture Estimates*
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Factors controlling changes in evapotranspiration, runoff, and soil moisture over the conterminous U.S.: Accounting for vegetation dynamics
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