Abstract | ||
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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. |
Year | Venue | Keywords |
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2015 | 2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | TRMM, PR, data adjustment, climate analysis |
Field | DocType | ISSN |
Meteorology,Radar,Homogeneity (statistics),Computer science,Remote sensing,Storm,Precipitation - climate,Climatology,Water cycle,Precipitation | Conference | 2153-6996 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Kaya Kanemaru | 1 | 0 | 2.03 |
Takuji Kubota | 2 | 53 | 18.28 |
Misako Kachi | 3 | 37 | 11.38 |
Riko Oki | 4 | 12 | 8.21 |
Toshio Iguchi | 5 | 83 | 29.97 |
Yukari N. Takayabu | 6 | 0 | 0.34 |