气候变化领域集成服务门户(CCPortal): Remote Sensing of Global Daily Evapotranspiration based on a Surface Energy Balance Method and Reanalysis Data

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DOI	10.1029/2020JD032873
	Remote Sensing of Global Daily Evapotranspiration based on a Surface Energy Balance Method and Reanalysis Data
	Chen, Xuelong; Su, Zhongbo; Ma, Yaoming; Trigo, Isabel; Gentine, Pierre
通讯作者	Chen, XL (通讯作者)
发表日期	2021
ISSN	2169-897X
EISSN	2169-8996
卷号	126 期号:16
英文摘要	Currently available evapotranspiration (ET) products have not provided us with an accurate estimation for global irrigated land area. Thermal energy balance (EB) model has the potential to solve this problem. The accurate estimation of aerodynamic resistances is a major complication in most remote sensing ET models. An EB model using a column canopy-air turbulent heat diffusion method was developed to more realistically depict dynamic changes in aerodynamic resistance. In order to estimate global ET and land surface fluxes for all weather conditions, Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua and Terra land surface temperature fields were combined and a nearest-evaporative-fraction gap-filling method was merged into the EB model. A global ET product covering the period 2003-2017 was produced using the EB model. By combining thermal and optional information from MODIS satellites and surface meteorological forcing data from ERA-Interim reanalysis data, the EB model provides a 5 x 5 km resolution estimate of daily ET without spatio-temporal gaps at the global scale. Assessment of the daily EB ET at 238 flux sites showed a mean bias of 0.05 mm/day and an RMSE of 1.56 mm/day. Analysis of global precipitation minus ET demonstrated that EB ET has a relatively higher potential for agriculture water resource management than currently available global ET products, such as Landflux, GLEAM, MOD16, GLDAS, and ERA-Interim ET. In addition, the EB model developed in this study can be applied to both polar and geostationary satellite thermal sensors. Plain Language Summary A new global evapotranspiration (ET) product was derived from satellite data using an energy balance (EB) model. The product has a daily scale and at a high spatial resolution (5 km for a global scale) for 2003-2017, which is particularly useful for agricultural studies. The model makes use of satellite remotely sensed land surface temperature (LST) and roughness length to calculate instantaneous sensible and latent heat fluxes. These instantaneous fluxes were further used to estimate daily ET. To provide a spatially and temporally continuous map of daily ET globally, two gap-filling methods were employed to correct for the gaps in LST and evaporative fraction products under cloudy sky conditions. The daily ET product has been successfully evaluated with ground based flux tower data. The global ET dataset has a relatively higher potential for agriculture water resource management than currently available global ET products. In addition, the EB model developed in this study can be applied to other polar and geostationary satellites.
关键词	LAND-SURFACE EVAPORATIVE FRACTION DATA SET ROUGHNESS HEIGHT LOWER BOUNDARY NET-RADIATION HEAT-TRANSFER SYSTEM SEBS MODIS FLUX
语种	英语
WOS研究方向	Meteorology & Atmospheric Sciences
WOS类目	Meteorology & Atmospheric Sciences
WOS记录号	WOS:000688706700005
来源期刊	JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/260494
推荐引用方式 GB/T 7714	Chen, Xuelong,Su, Zhongbo,Ma, Yaoming,et al. Remote Sensing of Global Daily Evapotranspiration based on a Surface Energy Balance Method and Reanalysis Data[J]. 中国科学院青藏高原研究所,2021,126(16).
APA	Chen, Xuelong,Su, Zhongbo,Ma, Yaoming,Trigo, Isabel,&Gentine, Pierre.(2021).Remote Sensing of Global Daily Evapotranspiration based on a Surface Energy Balance Method and Reanalysis Data.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,126(16).
MLA	Chen, Xuelong,et al."Remote Sensing of Global Daily Evapotranspiration based on a Surface Energy Balance Method and Reanalysis Data".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 126.16(2021).