Dynamic Scaling of the Generalized Complementary Relationship Improves Long-term Tendency Estimates in Land Evaporation
文献类型：期刊论文
| 作者 | Szilagyi, Jozsef1,2; Crago, Richard3; Ma, Ning4 |
| 刊名 | ADVANCES IN ATMOSPHERIC SCIENCES
 |
| 出版日期 | 2020-09-01 |
| 卷号 | 37期号:9页码:975-986 |
| 关键词 | land-atmosphere interactions land evaporation evapotranspiration complementary relationship of evaporation |
| ISSN号 | 0256-1530 |
| DOI | 10.1007/s00376-020-0079-6 |
| 通讯作者 | Szilagyi, Jozsef(jszilagyi1@unl.edu) |
| 英文摘要 | Most large-scale evapotranspiration (ET) estimation methods require detailed information of land use, land cover, and/or soil type on top of various atmospheric measurements. The complementary relationship of evaporation (CR) takes advantage of the inherent dynamic feedback mechanisms found in the soil-vegetation-atmosphere interface for its estimation of ET rates without the need of such biogeophysical data. ET estimates over the conterminous United States by a new, globally calibrated, static scaling (GCR-stat) of the generalized complementary relationship (GCR) of evaporation were compared to similar estimates of an existing, calibration-free version (GCR-dyn) of the GCR that employs a temporally varying dynamic scaling. Simplified annual water balances of 327 medium and 18 large watersheds served as ground-truth ET values. With long-term monthly mean forcing, GCR-stat (also utilizing precipitation measurements) outperforms GCR-dyn as the latter cannot fully take advantage of its dynamic scaling with such data of reduced temporal variability. However, in a continuous monthly simulation, GCR-dyn is on a par with GCR-stat, and especially excels in reproducing long-term tendencies in annual catchment ET rates even though it does not require precipitation information. The same GCR-dyn estimates were also compared to similar estimates of eight other popular ET products and they generally outperform all of them. For this reason, a dynamic scaling of the GCR is recommended over a static one for modeling long-term behavior of terrestrial ET. |
| WOS关键词 | TERRESTRIAL EVAPOTRANSPIRATION ; CALIBRATION-FREE ; VAPOR TRANSPORT ; WATER-BALANCE ; CLIMATE ; MODEL ; HEAT ; SOIL ; TRANSPIRATION ; PRODUCTS |
| 资助项目 | BME-Water Sciences and Disaster Prevention FIKP grant of EMMI (BME FIKP-VIZ) |
| WOS研究方向 | Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:000555778200001 |
| 出版者 | SCIENCE PRESS |
| 资助机构 | BME-Water Sciences and Disaster Prevention FIKP grant of EMMI (BME FIKP-VIZ) |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/158192]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Szilagyi, Jozsef |
| 作者单位 | 1.Tech Univ Budapest, Dept Hydraul & Water Resources Engn, H-1111 Budapest, Hungary 2.Univ Nebraska Lincoln, Sch Nat Resources, Conservat & Survey Div, Lincoln, NE 68583 USA 3.Bucknell Univ, Dept Civil & Environm Engn, Lewisburg, PA 17837 USA 4.Chinese Acad Sci, Key Lab Water Cycle & Related Land Surface Proc, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Szilagyi, Jozsef,Crago, Richard,Ma, Ning. Dynamic Scaling of the Generalized Complementary Relationship Improves Long-term Tendency Estimates in Land Evaporation[J]. ADVANCES IN ATMOSPHERIC SCIENCES,2020,37(9):975-986. |
| APA | Szilagyi, Jozsef,Crago, Richard,&Ma, Ning.(2020).Dynamic Scaling of the Generalized Complementary Relationship Improves Long-term Tendency Estimates in Land Evaporation.ADVANCES IN ATMOSPHERIC SCIENCES,37(9),975-986. |
| MLA | Szilagyi, Jozsef,et al."Dynamic Scaling of the Generalized Complementary Relationship Improves Long-term Tendency Estimates in Land Evaporation".ADVANCES IN ATMOSPHERIC SCIENCES 37.9(2020):975-986. |
入库方式： OAI收割
来源：地理科学与资源研究所
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