{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,15]],"date-time":"2026-02-15T03:12:19Z","timestamp":1771125139426,"version":"3.50.1"},"reference-count":100,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2015,11,26]],"date-time":"2015-11-26T00:00:00Z","timestamp":1448496000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Basic Research Program of China (973 Program)","award":["2013CB733404"],"award-info":[{"award-number":["2013CB733404"]}]},{"name":"Fundamental Research Funds for the Central Non-profit Research Institution of IFRIT, CAF","award":["IFRIT201302"],"award-info":[{"award-number":["IFRIT201302"]}]},{"name":"National Natural Science Foundation","award":["41101379"],"award-info":[{"award-number":["41101379"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>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\u2019s height and the frontal area index (FAI)) and forest aboveground biomass (AGB). Next, we derived the interannual Lorey\u2019s 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\u00b7day\u22121).<\/jats:p>","DOI":"10.3390\/rs71215806","type":"journal-article","created":{"date-parts":[[2015,11,26]],"date-time":"2015-11-26T10:08:53Z","timestamp":1448532533000},"page":"15822-15843","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Simulation of Forest Evapotranspiration Using Time-Series Parameterization of the Surface Energy Balance System (SEBS) over the Qilian Mountains"],"prefix":"10.3390","volume":"7","author":[{"given":"Xin","family":"Tian","sequence":"first","affiliation":[{"name":"Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China"},{"name":"Faculty of Geo-Information Science and Earth Observation, University of Twente, Enschede 7500AA, Netherlands"}]},{"given":"Christiaan","family":"Van der Tol","sequence":"additional","affiliation":[{"name":"Faculty of Geo-Information Science and Earth Observation, University of Twente, Enschede 7500AA, Netherlands"}]},{"given":"Zhongbo","family":"Su","sequence":"additional","affiliation":[{"name":"Faculty of Geo-Information Science and Earth Observation, University of Twente, Enschede 7500AA, Netherlands"}]},{"given":"Zengyuan","family":"Li","sequence":"additional","affiliation":[{"name":"Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China"}]},{"given":"Erxue","family":"Chen","sequence":"additional","affiliation":[{"name":"Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China"}]},{"given":"Xin","family":"Li","sequence":"additional","affiliation":[{"name":"Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China"}]},{"given":"Min","family":"Yan","sequence":"additional","affiliation":[{"name":"Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China"}]},{"given":"Xuelong","family":"Chen","sequence":"additional","affiliation":[{"name":"Faculty of Geo-Information Science and Earth Observation, University of Twente, Enschede 7500AA, Netherlands"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3591-4091","authenticated-orcid":false,"given":"Xufeng","family":"Wang","sequence":"additional","affiliation":[{"name":"Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China"}]},{"given":"Xiaoduo","family":"Pan","sequence":"additional","affiliation":[{"name":"Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China"}]},{"given":"Feilong","family":"Ling","sequence":"additional","affiliation":[{"name":"Key Laboratory of Spatial Data Mining & Information Sharing of Ministry Education, Fuzhou University, Fuzhou 350002, China"}]},{"given":"Chunmei","family":"Li","sequence":"additional","affiliation":[{"name":"Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China"}]},{"given":"Wenwu","family":"Fan","sequence":"additional","affiliation":[{"name":"Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China"},{"name":"School of Life Sciences, University of Technology Sydney, Sydney 2007, Australia"}]},{"given":"Longhui","family":"Li","sequence":"additional","affiliation":[{"name":"School of Life Sciences, University of Technology Sydney, Sydney 2007, Australia"}]}],"member":"1968","published-online":{"date-parts":[[2015,11,26]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"670","DOI":"10.1002\/hyp.6636","article-title":"Estimates of spatial variation in evaporation using satellite-derived surface temperature and a water balance model","volume":"22","author":"Bouwer","year":"2008","journal-title":"Hydrol. 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