{"title":"基于Gsmap全球降水卫星制图(Gsmap)数据与巴厘地区观测数据的日降雨量验证","authors":"I. G. A. M. Duwanda, I. K. Sukarasa","doi":"10.24843/bf.2022.v23.i02.p05","DOIUrl":null,"url":null,"abstract":"Research has been done on the validation of rainfall based on Global Satellite Mapping of Precipitation GSMaP data with observation data in the Bali area. The method used in this research is Pearson correlation, root mean square error (RMSE), and mean square error (MBE). This study aims to validate GSMaP rainfall data with observations in the Bali area. In general, GSMaP rainfall data tends to have a smaller value than observation data, but has almost the same data pattern in each area with rainfall patterns that occur from November to March. The study shows a strong positive correlation value (> 0.5), where in the Ngurah Rai area the value of = 0.889 with =0.558 and = 0.061, in Negara the value of = 0.887 with = 0.595 and = 0.049, and in Denpasar area the value of = 0.879 dengan = 0.444 dan = 0.058. This shows that GSMaP satellite data is quite valid and can be used especially in 3 observation areas, namely Ngurah Rai, Negara, and Denpasar.","PeriodicalId":32375,"journal":{"name":"Buletin Fisika","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Validation of Daily Rainfall Based on Global Satellite Mapping Of Precipitation (Gsmap) Data with Observation Data in The Bali Region\",\"authors\":\"I. G. A. M. Duwanda, I. K. Sukarasa\",\"doi\":\"10.24843/bf.2022.v23.i02.p05\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Research has been done on the validation of rainfall based on Global Satellite Mapping of Precipitation GSMaP data with observation data in the Bali area. The method used in this research is Pearson correlation, root mean square error (RMSE), and mean square error (MBE). This study aims to validate GSMaP rainfall data with observations in the Bali area. In general, GSMaP rainfall data tends to have a smaller value than observation data, but has almost the same data pattern in each area with rainfall patterns that occur from November to March. The study shows a strong positive correlation value (> 0.5), where in the Ngurah Rai area the value of = 0.889 with =0.558 and = 0.061, in Negara the value of = 0.887 with = 0.595 and = 0.049, and in Denpasar area the value of = 0.879 dengan = 0.444 dan = 0.058. This shows that GSMaP satellite data is quite valid and can be used especially in 3 observation areas, namely Ngurah Rai, Negara, and Denpasar.\",\"PeriodicalId\":32375,\"journal\":{\"name\":\"Buletin Fisika\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-08-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Buletin Fisika\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.24843/bf.2022.v23.i02.p05\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Buletin Fisika","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24843/bf.2022.v23.i02.p05","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
摘要
利用巴厘地区的观测资料,对全球卫星降水测绘GSMaP数据进行了降雨验证研究。本研究使用的方法是Pearson相关、均方根误差(RMSE)和均方误差(MBE)。本研究旨在利用巴厘岛地区的观测资料验证GSMaP降水数据。总体而言,GSMaP降水数据的数值倾向于小于观测数据,但在11月至3月的降水模式下,各地区的数据模式几乎相同。研究结果显示出较强的正相关值(>.5),其中Ngurah Rai地区值= 0.889,=0.558和= 0.061,Negara地区值= 0.887,= 0.595和= 0.049,Denpasar地区值= 0.879 dengan = 0.444 dan = 0.058。这表明GSMaP卫星数据是相当有效的,特别是在Ngurah Rai, Negara和Denpasar 3个观测区域可以使用。
Validation of Daily Rainfall Based on Global Satellite Mapping Of Precipitation (Gsmap) Data with Observation Data in The Bali Region
Research has been done on the validation of rainfall based on Global Satellite Mapping of Precipitation GSMaP data with observation data in the Bali area. The method used in this research is Pearson correlation, root mean square error (RMSE), and mean square error (MBE). This study aims to validate GSMaP rainfall data with observations in the Bali area. In general, GSMaP rainfall data tends to have a smaller value than observation data, but has almost the same data pattern in each area with rainfall patterns that occur from November to March. The study shows a strong positive correlation value (> 0.5), where in the Ngurah Rai area the value of = 0.889 with =0.558 and = 0.061, in Negara the value of = 0.887 with = 0.595 and = 0.049, and in Denpasar area the value of = 0.879 dengan = 0.444 dan = 0.058. This shows that GSMaP satellite data is quite valid and can be used especially in 3 observation areas, namely Ngurah Rai, Negara, and Denpasar.