Arid
DOI10.1016/j.agrformet.2019.107706
Evaluation of modeled actual evapotranspiration estimates from a land surface, empirical and satellite-based models using in situ observations from a South African semi-arid savanna ecosystem
Khosa, Floyd, V1,2; Feig, Gregor T.1,3,4; van der Merwe, Martina R.1; Mateyisi, Mohau J.1; Mudau, Azwitamisi E.1; Savage, Michael J.2
通讯作者Khosa, Floyd, V
来源期刊AGRICULTURAL AND FOREST METEOROLOGY
ISSN0168-1923
EISSN1873-2240
出版年2019
卷号279
英文摘要Evapotranspiration (ET) plays a crucial role in the land-atmosphere interaction and climate variability, especially in arid and semi-arid areas. Accurate estimates of ET are important in hydrological and climate modeling. This study evaluates eight ET data products from different models used for ET estimation. The data products are classified into three main categories depending on the type of modeling approaches: namely process-based land surface model, empirical models, and satellite data derived estimates. The different model estimates are evaluated against in situ measurements from the Skukuza flux tower which is situated in a semi-arid savanna in South Africa. The correlation score and cantered root mean square error computed on monthly ET averages indicate that the satellite-derived model and land surface model estimates are closer to the observed ET signal for the Skukuza site, both in-phase and magnitude. The empirical models' outputs tend to reflect a relatively pronounced departure from observations in magnitude. The normalised mean bias computed for different seasons reveals that the estimates from all modeling approaches are close to the observed signal during the transition period (March-May) to the austral summer. In general, all models overestimate ET during summer and underestimate it in winter. A qualitative analysis of the year-to-year variation for different seasons reveals that all model estimates are qualitatively consistent with the observed seasonal pattern of the signal. Satellite and process-based land surface models (LSMs) also show a response to extremes events such as drought years. The study identifies satellite-derived model outputs as a candidate for understanding spatio-temporal variability of ET across different landscapes within the study region, and process-based models to potentially be used for climate change impact studies on ET.
英文关键词Brutsaert-Strickler CABLE GLEAM Granger-Gray Szilagyi-Jozsa Complementary relationship
类型Article
语种英语
国家South Africa
收录类别SCI-E
WOS记录号WOS:000500197400017
WOS关键词EVAPORATION ; VALIDATION ; CROP ; PERFORMANCE ; EQUATIONS ; FLUX
WOS类目Agronomy ; Forestry ; Meteorology & Atmospheric Sciences
WOS研究方向Agriculture ; Forestry ; Meteorology & Atmospheric Sciences
EI主题词2019-12-15
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/311732
作者单位1.CSIR, Nat Resources & Environm, Global Change & Ecosyst Dynam, POB 395, ZA-0001 Pretoria, South Africa;
2.Univ KwaZulu Natal, Sch Agr Earth & Environm Sci, Agrometeorol Discipline, Pietermaritzburg, South Africa;
3.Univ Pretoria, Dept Geog Geoinformat & Meteorol, Pretoria, South Africa;
4.South African Environm Observat Network, POB 2600, ZA-0001 Pretoria, South Africa
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GB/T 7714
Khosa, Floyd, V,Feig, Gregor T.,van der Merwe, Martina R.,et al. Evaluation of modeled actual evapotranspiration estimates from a land surface, empirical and satellite-based models using in situ observations from a South African semi-arid savanna ecosystem[J],2019,279.
APA Khosa, Floyd, V,Feig, Gregor T.,van der Merwe, Martina R.,Mateyisi, Mohau J.,Mudau, Azwitamisi E.,&Savage, Michael J..(2019).Evaluation of modeled actual evapotranspiration estimates from a land surface, empirical and satellite-based models using in situ observations from a South African semi-arid savanna ecosystem.AGRICULTURAL AND FOREST METEOROLOGY,279.
MLA Khosa, Floyd, V,et al."Evaluation of modeled actual evapotranspiration estimates from a land surface, empirical and satellite-based models using in situ observations from a South African semi-arid savanna ecosystem".AGRICULTURAL AND FOREST METEOROLOGY 279(2019).
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