Back to Search Start Over

Simulation of Forest Evapotranspiration Using Time-Series Parameterization of the Surface Energy Balance System (SEBS) over the Qilian Mountains

Authors :
Xin Tian
Christiaan van der Tol
Zhongbo Su
Zengyuan Li
Erxue Chen
Xin Li
Min Yan
Xuelong Chen
Xufeng Wang
Xiaoduo Pan
Feilong Ling
Chunmei Li
Wenwu Fan
Longhui Li
Source :
Remote Sensing, Vol 7, Iss 12, Pp 15822-15843 (2015)
Publication Year :
2015
Publisher :
MDPI AG, 2015.

Abstract

We propose a long-term parameterization scheme for two critical parameters, zero-plane displacement height (d) and aerodynamic roughness length (z0m), that we further use in the Surface Energy Balance System (SEBS). A sensitivity analysis of SEBS indicated that these two parameters largely impact the estimated sensible heat and latent heat fluxes. First, we calibrated regression relationships between measured forest vertical parameters (Lorey’s height and the frontal area index (FAI)) and forest aboveground biomass (AGB). Next, we derived the interannual Lorey’s height and FAI values from our calibrated regression models and corresponding forest AGB dynamics that were converted from interannual carbon fluxes, as simulated from two incorporated ecological models and a 2009 forest basis map These dynamic forest vertical parameters, combined with refined eight-day Global LAnd Surface Satellite (GLASS) LAI products, were applied to estimate the eight-day d, z0m, and, thus, the heat roughness length (z0h). The obtained d, z0m and z0h were then used as forcing for the SEBS model in order to simulate long-term forest evapotranspiration (ET) from 2000 to 2012 within the Qilian Mountains (QMs). As compared with MODIS, MOD16 products at the eddy covariance (EC) site, ET estimates from the SEBS agreed much better with EC measurements (R2 = 0.80 and RMSE = 0.21 mm·day−1).

Details

Language :
English
ISSN :
20724292
Volume :
7
Issue :
12
Database :
Directory of Open Access Journals
Journal :
Remote Sensing
Publication Type :
Academic Journal
Accession number :
edsdoj.2720dec8cd604462a0bd30d66270cf42
Document Type :
article
Full Text :
https://doi.org/10.3390/rs71215806