干旱区生态环境知识资源中心(Arid): Estimation of latent heat flux using satellite land surface temperature and a variational data assimilation scheme over a eucalypt forest savanna in Northern Australia

Arid

DOI	10.1016/j.agrformet.2019.01.032
	Estimation of latent heat flux using satellite land surface temperature and a variational data assimilation scheme over a eucalypt forest savanna in Northern Australia
	Barraza, Veronica 1; Grings, Francisco 1; Franco, Mariano 1; Douna, Vanesa 1; Entekhabi, Dara 2; Restrepo-Coupe, Natalia 3,4; Huete, Alfredo 3; Gassmann, Maria 5; Roitberg, Esteban 1
通讯作者	Barraza, Veronica
来源期刊	AGRICULTURAL AND FOREST METEOROLOGY
ISSN	0168-1923
EISSN	1873-2240
出版年	2019
卷号	268 页码:341-353
英文摘要	In this study, the performance of the combined-source variational data assimilation scheme (CS-VDA) is assessed in detail using in situ heat fluxes (i.e. sensible heat (H) and latent heat (LE)) collected at a Eucalypt forest savanna of Northern Australia (Howard Springs). The CS VDA scheme estimates surface turbulent heat fluxes via assimilation of sequences of land surface temperature (LST) and meteorological data into a surface energy balance model and a dynamic model, The main objectives of this paper were to extend previous studies to a semi-arid ecosystem and to evaluate the potential of using global meteorological forcing data (GMD) to drive the CS VDA model (rather than in-situ meteorological observations). In order to study the new errors associated with the use of GMD, the effects on LE of the uncertainty in air temperature and wind speed (the two key meteorological factors that controls the total estimation error) was quantitatively characterized. Using hourly in-situ measurements as inputs, the daily-averaged LE RMSE(daily )was 54 W/m(2), which agrees with the errors previously reported in the literature. As expected, replacing local meteorological data with GMD reduces the performance of the LE estimation (GMA: RMSEdaily = 82 W/m(2), GLDAS: RMSEdaily = 151 W/m(2)). However, LE RMSE values at 8-day temporal scale for GMA are RMSE8-days = 32 W/m(2), similar to those reported in this area for other models (MODIS (MOD16A2) and Breathing Earth System Simulator (BESS)). The error propagation analysis indicate that the CS VDA model is very sensitive to uncertainties in wind speed measurements. Moreover, there are large discrepancies between in situ and GMD wind speed. These two factors combined can explain the degradation in LE estimations. In this context, our study is a first step towards the characterization of an operational daily LE estimation scheme using hourly LST observations.
英文关键词	Variational data assimilation Latent heat flux Savanna Remote sensing
类型	Article
语种	英语
国家	Argentina ; USA ; Australia
收录类别	SCI-E
WOS记录号	WOS:000460844700034
WOS关键词	SOIL-MOISTURE ; VEGETATION INDEX ; TRIANGLE METHOD ; EVAPOTRANSPIRATION ; MODIS ; EVAPORATION ; PREDICTION ; MICROWAVE ; RAINFALL ; TOWER
WOS类目	Agronomy ; Forestry ; Meteorology & Atmospheric Sciences
WOS研究方向	Agriculture ; Forestry ; Meteorology & Atmospheric Sciences
来源机构	University of Arizona
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/213940
作者单位	1.UBA, CONICET, IAFE, Caba, Buenos Aires, Argentina; 2.MIT, Dept Civil & Environm Engn, 77 Massachusetts Ave, Cambridge, MA 02139 USA; 3.Univ Technol Sydney, Sch Life Sci, Sydney, NSW, Australia; 4.Univ Arizona, Dept Ecol & Evolutionary Biol, Tucson, AZ 85721 USA; 5.UBA, FCEyN, Dept Atmospher & Ocean Sci, Piso 2,Pabellon 2,Cdad Univ,C1428EGA, Caba, Argentina
推荐引用方式 GB/T 7714	Barraza, Veronica,Grings, Francisco,Franco, Mariano,et al. Estimation of latent heat flux using satellite land surface temperature and a variational data assimilation scheme over a eucalypt forest savanna in Northern Australia[J]. University of Arizona,2019,268:341-353.
APA	Barraza, Veronica.,Grings, Francisco.,Franco, Mariano.,Douna, Vanesa.,Entekhabi, Dara.,...&Roitberg, Esteban.(2019).Estimation of latent heat flux using satellite land surface temperature and a variational data assimilation scheme over a eucalypt forest savanna in Northern Australia.AGRICULTURAL AND FOREST METEOROLOGY,268,341-353.
MLA	Barraza, Veronica,et al."Estimation of latent heat flux using satellite land surface temperature and a variational data assimilation scheme over a eucalypt forest savanna in Northern Australia".AGRICULTURAL AND FOREST METEOROLOGY 268(2019):341-353.