Arid
DOI10.1002/joc.6723
Rainfall estimation methods in the Brazilian semiarid region: 30-year evaluation on a monthly scale
dos Santos, Vitor Juste; Calijuri, Maria Lucia; Ribeiro Junior, Jose Ivo; de Assis, Leonardo Campos
通讯作者dos Santos, VJ
来源期刊INTERNATIONAL JOURNAL OF CLIMATOLOGY
ISSN0899-8418
EISSN1097-0088
英文摘要Studies about evaluations of different rainfall estimation methods are important as they are usually applied in works related to water resources availability, public supply, watering, animal water supply, hydroelectric power generation, drought episodes' evaluation, among others. Studies that cover the entire area of the Brazilian semiarid within this scope are still scarce. In this context, the objective of this paper was to evaluate seven rain estimation methods, from different approaches, with the aid of statistical analysis. The focus was on the long term, using 30 years of data in monthly scale, in order to verify the methods performance in estimating the spatiotemporal behaviour of rainfall compared to data measured in situ, coming from rainfall and meteorological stations. The evaluation process was based on the random selection of training and testing stations, with the first being used to interpolate rainfall data using different methods, and the latter used to evaluate this estimates with the aid of statistical analysis. Finally, the results were standardized, interpreted and discussed. Of all the estimation methods evaluated, CHIRPS obtained the best performance when compared to field stations data used as test. From the results obtained, there is evidence that the best performance is due to the incorporation of several distinct data sources derived from in situ stations, geostationary satellite infrared sensor estimates and physiographic predictors. This information is not fully present in other evaluated methods. The worst estimation performances were in the eastern side of the Brazilian semiarid, an area that receives moisture from the Atlantic Ocean and has significant topographic variations, due to the set of the complex relief mountains present in the northeast coast of Brazil.
英文关键词CHELSA CHIRPS interpolation methods complex terrain PERSIANN remote sensing
类型Article ; Early Access
语种英语
收录类别SCI-E
WOS记录号WOS:000550418600001
WOS关键词CLIMATE-CHANGE ; PRECIPITATION ; SATELLITE ; NORTHEAST ; PRODUCTS ; DROUGHT ; BASIN ; DESERTIFICATION ; VARIABILITY ; VALIDATION
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/328103
作者单位[dos Santos, Vitor Juste; Calijuri, Maria Lucia] Univ Fed Vicosa, Civil Engn Dept, Ave Peter Henry Rolfs S-N Campus Univ, BR-36570900 Vicosa, MG, Brazil; [Ribeiro Junior, Jose Ivo] Univ Fed Vicosa, Stat Dept, Vicosa, MG, Brazil; [de Assis, Leonardo Campos] Univ Uberaba, Environm Engn Dept, Uberaba, MG, Brazil
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GB/T 7714
dos Santos, Vitor Juste,Calijuri, Maria Lucia,Ribeiro Junior, Jose Ivo,et al. Rainfall estimation methods in the Brazilian semiarid region: 30-year evaluation on a monthly scale[J].
APA dos Santos, Vitor Juste,Calijuri, Maria Lucia,Ribeiro Junior, Jose Ivo,&de Assis, Leonardo Campos.
MLA dos Santos, Vitor Juste,et al."Rainfall estimation methods in the Brazilian semiarid region: 30-year evaluation on a monthly scale".INTERNATIONAL JOURNAL OF CLIMATOLOGY
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