Improving CLM5.0 Biomass and Carbon Exchange Across the Western United States Using a Data Assimilation System

Journal of Advances in Modeling Earth Systems

Henrique F. Duarte¹  John C. Lin¹  Andrew M. Fox²  Jeffrey L. Anderson³  Timothy J. Hoar³  Brett Raczka⁴  David R. Bowling⁴ 

[1] Department of Atmospheric Sciences University of Utah Salt Lake City UT USA;Joint Center for Satellite Data Assimilation Boulder CO USA;National Center for Atmospheric Research Boulder CO USA;School of Biological Sciences University of Utah Salt Lake City UT USA;

关键词: data assimilation;    CLM;    land‐atmosphere carbon exchange;    biomass stocks;    DART;    Western United States;   

DOI  :  10.1029/2020MS002421

来源: DOAJ

【 摘 要 】

Abstract The Western United States is dominated by natural lands that play a critical role for carbon balance, water quality, and timber reserves. This region is also particularly vulnerable to forest mortality from drought, insect attack, and wildfires, thus requiring constant monitoring to assess ecosystem health. Carbon monitoring techniques are challenged by the complex mountainous terrain, thus there is an opportunity for data assimilation systems that combine land surface models and satellite‐derived observations to provide improved carbon monitoring. Here, we use the Data Assimilation Research Testbed to adjust the Community Land Model (CLM5.0) with remotely sensed observations of leaf area and above‐ground biomass. The adjusted simulation significantly reduced the above‐ground biomass and leaf area, leading to a reduction in both photosynthesis and respiration fluxes. The reduction in the carbon fluxes mostly offset, thus both the adjusted and free simulation projected a weak carbon sink to the land. This result differed from a separate observation‐constrained model (FLUXCOM) that projected strong carbon uptake to the land. Simulation diagnostics suggested water limitation had an important influence upon the magnitude and spatial pattern of carbon uptake through photosynthesis. We recommend that additional observations important for water cycling (e.g., snow water equivalent, land surface temperature) be included to improve the veracity of the spatial pattern in carbon uptake. Furthermore, the assimilation system should be enhanced to maximize the number of the simulated state variables that are adjusted, especially those related to the recommended observed quantities including water cycling and soil carbon.

【 授权许可】

Unknown