A spatiotemporal assessment of the high-resolution CHIRPS rainfall dataset in southwestern Colombia using combined principal component analysis
Long and temporal time-consistency rainfall time series are essential for studying climate; nevertheless, raingauge stations are unevenly distributed across southwestern Colombia. This research paper assesses the consistency of the satellite rainfall estimate from Climate Hazards Group Infrared Prec...
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| Format: | Article |
| Language: | English |
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Elsevier
2022-09-01
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| Series: | Ain Shams Engineering Journal |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2090447922000508 |
| _version_ | 1797985993153839104 |
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| author | Camilo Ocampo-Marulanda Cristhian Fernández-Álvarez Wilmar L. Cerón Teresita Canchala Yesid Carvajal-Escobar Wilfredo Alfonso-Morales |
| author_facet | Camilo Ocampo-Marulanda Cristhian Fernández-Álvarez Wilmar L. Cerón Teresita Canchala Yesid Carvajal-Escobar Wilfredo Alfonso-Morales |
| author_sort | Camilo Ocampo-Marulanda |
| collection | DOAJ |
| description | Long and temporal time-consistency rainfall time series are essential for studying climate; nevertheless, raingauge stations are unevenly distributed across southwestern Colombia. This research paper assesses the consistency of the satellite rainfall estimate from Climate Hazards Group Infrared Precipitation (CHIRPS) via pixel-to-point comparison with 46 observed monthly rainfall time series using four pairwise metrics and Combined Principal Component Analysis (CPCA). Two Combined Principal Components (CPC) were also used to determine the relationship with the Sea Surface Temperature (SST) through simultaneous linear correlation maps. The results showed that CHIRPS has a better performance in the Andean region than in the Pacific region. The correlation between CPC1 (CPC2) and SST showed a typical El Niño Southern Oscillation pattern with an inverse (direct) relationship between the rainfall in the Andean (Pacific) Region. Finally, our results validate that CHIRPS can be included in further studies of the spatiotemporal dynamics of rainfall in Southwestern Colombia. |
| first_indexed | 2024-04-11T07:25:51Z |
| format | Article |
| id | doaj.art-e427fdd018d0413faa447d819dcbab1a |
| institution | Directory Open Access Journal |
| issn | 2090-4479 |
| language | English |
| last_indexed | 2024-04-11T07:25:51Z |
| publishDate | 2022-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ain Shams Engineering Journal |
| spelling | doaj.art-e427fdd018d0413faa447d819dcbab1a2022-12-22T04:37:04ZengElsevierAin Shams Engineering Journal2090-44792022-09-01135101739A spatiotemporal assessment of the high-resolution CHIRPS rainfall dataset in southwestern Colombia using combined principal component analysisCamilo Ocampo-Marulanda0Cristhian Fernández-Álvarez1Wilmar L. Cerón2Teresita Canchala3Yesid Carvajal-Escobar4Wilfredo Alfonso-Morales5Water Resources, Engineering and Soil Research Group (IREHISA), School of Natural Resources and Environmental Engineering, Universidad del Valle, Cali 25360, Colombia; Faculty of Natural Sciences and Engineering, Fundación Universitaria de San Gil, Yopal 850007, ColombiaPerception and Intelligent Systems Research Group (PSI), School of Electrical and Electronics Engineering, Universidad del Valle, Cali 25360, ColombiaFaculty of Humanities, Department of Geography, Universidad del Valle, Cali 25360, ColombiaWater Resources, Engineering and Soil Research Group (IREHISA), School of Natural Resources and Environmental Engineering, Universidad del Valle, Cali 25360, ColombiaWater Resources, Engineering and Soil Research Group (IREHISA), School of Natural Resources and Environmental Engineering, Universidad del Valle, Cali 25360, Colombia; Corresponding author.Perception and Intelligent Systems Research Group (PSI), School of Electrical and Electronics Engineering, Universidad del Valle, Cali 25360, ColombiaLong and temporal time-consistency rainfall time series are essential for studying climate; nevertheless, raingauge stations are unevenly distributed across southwestern Colombia. This research paper assesses the consistency of the satellite rainfall estimate from Climate Hazards Group Infrared Precipitation (CHIRPS) via pixel-to-point comparison with 46 observed monthly rainfall time series using four pairwise metrics and Combined Principal Component Analysis (CPCA). Two Combined Principal Components (CPC) were also used to determine the relationship with the Sea Surface Temperature (SST) through simultaneous linear correlation maps. The results showed that CHIRPS has a better performance in the Andean region than in the Pacific region. The correlation between CPC1 (CPC2) and SST showed a typical El Niño Southern Oscillation pattern with an inverse (direct) relationship between the rainfall in the Andean (Pacific) Region. Finally, our results validate that CHIRPS can be included in further studies of the spatiotemporal dynamics of rainfall in Southwestern Colombia.http://www.sciencedirect.com/science/article/pii/S2090447922000508Combined Principal Component AnalysesPairwise comparisonSatellite rainfall estimates and Southwestern Colombia |
| spellingShingle | Camilo Ocampo-Marulanda Cristhian Fernández-Álvarez Wilmar L. Cerón Teresita Canchala Yesid Carvajal-Escobar Wilfredo Alfonso-Morales A spatiotemporal assessment of the high-resolution CHIRPS rainfall dataset in southwestern Colombia using combined principal component analysis Ain Shams Engineering Journal Combined Principal Component Analyses Pairwise comparison Satellite rainfall estimates and Southwestern Colombia |
| title | A spatiotemporal assessment of the high-resolution CHIRPS rainfall dataset in southwestern Colombia using combined principal component analysis |
| title_full | A spatiotemporal assessment of the high-resolution CHIRPS rainfall dataset in southwestern Colombia using combined principal component analysis |
| title_fullStr | A spatiotemporal assessment of the high-resolution CHIRPS rainfall dataset in southwestern Colombia using combined principal component analysis |
| title_full_unstemmed | A spatiotemporal assessment of the high-resolution CHIRPS rainfall dataset in southwestern Colombia using combined principal component analysis |
| title_short | A spatiotemporal assessment of the high-resolution CHIRPS rainfall dataset in southwestern Colombia using combined principal component analysis |
| title_sort | spatiotemporal assessment of the high resolution chirps rainfall dataset in southwestern colombia using combined principal component analysis |
| topic | Combined Principal Component Analyses Pairwise comparison Satellite rainfall estimates and Southwestern Colombia |
| url | http://www.sciencedirect.com/science/article/pii/S2090447922000508 |
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