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Article: Estimation of evapotranspiration over the terrestrial ecosystems in China
Title | Estimation of evapotranspiration over the terrestrial ecosystems in China |
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Authors | Li, XianglanLiang, ShunlinYuan, WenpingYu, GuiruiCheng, XiaoChen, YangZhao, TianbaoFeng, JinmingMa, ZhuguoMa, MingguoLiu, ShaominChen, JiquanShao, ChangliangLi, ShenggongZhang, XudongZhang, ZhiqiangSun, GeChen, ShipingOhta, TakeshiVarlagin, AndrejMiyata, AkiraTakagi, KentaroSaiqusa, NobukoKato, Tomomichi |
Keywords | AVHRR Eddy covariance Evapotranspiration MERRA Remote Sensing-Penman Monteith model |
Issue Date | 2014 |
Citation | Ecohydrology, 2014, v. 7, n. 1, p. 139-149 How to Cite? |
Abstract | Quantifying regional evapotranspiration (ET) and environmental constraints are particularly important for understanding water and carbon cycles of terrestrial ecosystems. However, a large uncertainty in the regional estimation of ET still remains for the terrestrial ecosystems in China. This study used ET measurements of 34 eddy covariance sites within China and adjacent regions to examine the performance of the revised Remote Sensing-Penman Monteith (RS-PM) model over various ecosystem types including forests, grasslands, wetlands and croplands. No significant systematic error was found in the revised RS-PM model predictions, which explained 61% of the ET variations at all of the validation sites. Regional patterns of ET at a spatial resolution of 10×10km were quantified using a meteorology dataset from 753 meteorological stations, Modern Era Retrospective-analysis for Research and Applications (MERRA) reanalysis products and satellite data such as the Advanced Very High Resolution Radiometer (AVHRR) leaf area index. ET decreased from the southeast of China toward the northwest. Relatively high ET values were found in the southern China such as Yunnan, Hainan, Fujian and Guangdong Provinces, whereas low ET values occurred in northwestern China such as in the Xinjiang autonomous region. On average, the annual ET presented an increasing trend during the 1982-2009, with relatively low ET in 1985, 1993, 1997, 2000 and 2009. We found that the mean annual ET was higher than world average, ranging spatially between 484 and 521mmyr-1, with a mean value of 500mmyr-1, which accounted for approximately 5·6-8·3% of the world's total land-surface ET. © 2012 John Wiley & Sons, Ltd. |
Persistent Identifier | http://hdl.handle.net/10722/321555 |
ISSN | 2023 Impact Factor: 2.5 2023 SCImago Journal Rankings: 0.821 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Li, Xianglan | - |
dc.contributor.author | Liang, Shunlin | - |
dc.contributor.author | Yuan, Wenping | - |
dc.contributor.author | Yu, Guirui | - |
dc.contributor.author | Cheng, Xiao | - |
dc.contributor.author | Chen, Yang | - |
dc.contributor.author | Zhao, Tianbao | - |
dc.contributor.author | Feng, Jinming | - |
dc.contributor.author | Ma, Zhuguo | - |
dc.contributor.author | Ma, Mingguo | - |
dc.contributor.author | Liu, Shaomin | - |
dc.contributor.author | Chen, Jiquan | - |
dc.contributor.author | Shao, Changliang | - |
dc.contributor.author | Li, Shenggong | - |
dc.contributor.author | Zhang, Xudong | - |
dc.contributor.author | Zhang, Zhiqiang | - |
dc.contributor.author | Sun, Ge | - |
dc.contributor.author | Chen, Shiping | - |
dc.contributor.author | Ohta, Takeshi | - |
dc.contributor.author | Varlagin, Andrej | - |
dc.contributor.author | Miyata, Akira | - |
dc.contributor.author | Takagi, Kentaro | - |
dc.contributor.author | Saiqusa, Nobuko | - |
dc.contributor.author | Kato, Tomomichi | - |
dc.date.accessioned | 2022-11-03T02:19:44Z | - |
dc.date.available | 2022-11-03T02:19:44Z | - |
dc.date.issued | 2014 | - |
dc.identifier.citation | Ecohydrology, 2014, v. 7, n. 1, p. 139-149 | - |
dc.identifier.issn | 1936-0584 | - |
dc.identifier.uri | http://hdl.handle.net/10722/321555 | - |
dc.description.abstract | Quantifying regional evapotranspiration (ET) and environmental constraints are particularly important for understanding water and carbon cycles of terrestrial ecosystems. However, a large uncertainty in the regional estimation of ET still remains for the terrestrial ecosystems in China. This study used ET measurements of 34 eddy covariance sites within China and adjacent regions to examine the performance of the revised Remote Sensing-Penman Monteith (RS-PM) model over various ecosystem types including forests, grasslands, wetlands and croplands. No significant systematic error was found in the revised RS-PM model predictions, which explained 61% of the ET variations at all of the validation sites. Regional patterns of ET at a spatial resolution of 10×10km were quantified using a meteorology dataset from 753 meteorological stations, Modern Era Retrospective-analysis for Research and Applications (MERRA) reanalysis products and satellite data such as the Advanced Very High Resolution Radiometer (AVHRR) leaf area index. ET decreased from the southeast of China toward the northwest. Relatively high ET values were found in the southern China such as Yunnan, Hainan, Fujian and Guangdong Provinces, whereas low ET values occurred in northwestern China such as in the Xinjiang autonomous region. On average, the annual ET presented an increasing trend during the 1982-2009, with relatively low ET in 1985, 1993, 1997, 2000 and 2009. We found that the mean annual ET was higher than world average, ranging spatially between 484 and 521mmyr-1, with a mean value of 500mmyr-1, which accounted for approximately 5·6-8·3% of the world's total land-surface ET. © 2012 John Wiley & Sons, Ltd. | - |
dc.language | eng | - |
dc.relation.ispartof | Ecohydrology | - |
dc.subject | AVHRR | - |
dc.subject | Eddy covariance | - |
dc.subject | Evapotranspiration | - |
dc.subject | MERRA | - |
dc.subject | Remote Sensing-Penman Monteith model | - |
dc.title | Estimation of evapotranspiration over the terrestrial ecosystems in China | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1002/eco.1341 | - |
dc.identifier.scopus | eid_2-s2.0-84892488210 | - |
dc.identifier.volume | 7 | - |
dc.identifier.issue | 1 | - |
dc.identifier.spage | 139 | - |
dc.identifier.epage | 149 | - |
dc.identifier.eissn | 1936-0592 | - |
dc.identifier.isi | WOS:000330800400012 | - |