气候变化领域集成服务门户(CCPortal): Validation of the Community Land Model Version 5 Over the Contiguous United States (CONUS) Using In Situ and Remote Sensing Data Sets

CCPortal

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
	Cheng Y.; Huang M.; Zhu B.; Bisht G.; Zhou T.; Liu Y.; Song F.; He X.
发表日期	2021
ISSN	2169897X
卷号	126 期号:5
英文摘要	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). © 2021. Battelle Memorial Institute.
语种	英语
来源期刊	Journal of Geophysical Research: Atmospheres
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/185444
作者单位	Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, WA, United States; Now at Office of Science and Technology Integration, National Weather Service, National Oceanic and Atmospheric Administration, Silver Spring, MD, United States; 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, United States; Now at Department of Civil and Environmental Engineering, National University of Singapore, Singapore
推荐引用方式 GB/T 7714	Cheng Y.,Huang M.,Zhu B.,et al. Validation of the Community Land Model Version 5 Over the Contiguous United States (CONUS) Using In Situ and Remote Sensing Data Sets[J],2021,126(5).
APA	Cheng Y..,Huang M..,Zhu B..,Bisht G..,Zhou T..,...&He X..(2021).Validation of the Community Land Model Version 5 Over the Contiguous United States (CONUS) Using In Situ and Remote Sensing Data Sets.Journal of Geophysical Research: Atmospheres,126(5).
MLA	Cheng Y.,et al."Validation of the Community Land Model Version 5 Over the Contiguous United States (CONUS) Using In Situ and Remote Sensing Data Sets".Journal of Geophysical Research: Atmospheres 126.5(2021).