Kaya Kanemaru, T. Kubota, M. Kachi, R. Oki, T. Iguchi, Y. Takayabu
{"title":"A decadal variability of semi-global precipitation by TRMM PR","authors":"Kaya Kanemaru, T. Kubota, M. Kachi, R. Oki, T. Iguchi, Y. Takayabu","doi":"10.1109/IGARSS.2015.7326987","DOIUrl":null,"url":null,"abstract":"Precipitation observation by the Tropical Rainfall Measuring Mission's (TRMM's) Precipitation Radar (PR) lasted for almost 17 years. Homogeneity of long-term PR data will be essential to study the water cycle change related to the interannual variability and the decadal change. In this study, we aim to develop a precipitation climate data from 17-year PR data. In this paper, PR data are adjusted to mitigate the discontinuity of the PR hardware (H/W) change. An obvious discontinuity of storm top height caused by the PR H/W change is mitigated creating the adjusted data. Semi-global (35S-35N) precipitation derived from the adjusted data is decreased by 0.98 % as compared with the original data.","PeriodicalId":125717,"journal":{"name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IGARSS.2015.7326987","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Precipitation observation by the Tropical Rainfall Measuring Mission's (TRMM's) Precipitation Radar (PR) lasted for almost 17 years. Homogeneity of long-term PR data will be essential to study the water cycle change related to the interannual variability and the decadal change. In this study, we aim to develop a precipitation climate data from 17-year PR data. In this paper, PR data are adjusted to mitigate the discontinuity of the PR hardware (H/W) change. An obvious discontinuity of storm top height caused by the PR H/W change is mitigated creating the adjusted data. Semi-global (35S-35N) precipitation derived from the adjusted data is decreased by 0.98 % as compared with the original data.