Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1002/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
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ISSN | 0899-8418 |
EISSN | 1097-0088 |
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 |
推荐引用方式 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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