10.20783/DIAS.281
JAXA DIAS representative
JAXA DIAS representative
Japan Aerospace Exploration Agency
DIAS_Satellite_GPM_GSMaP dataset
Data Integration and Analysis System (DIAS)
2016
JAXA DIAS representative
JAXA DIAS representative
Japan Aerospace Exploration Agency
DIAS Office
DIAS Office
Japan Agency for Marine-Earth Science and Technology
JAXA DIAS representative
JAXA DIAS representative
Japan Aerospace Exploration Agency
2016-01-04
Dataset
[Policies by the Data Provider]
[Policies by the Data Integration and Analysis sytem (DIAS) and other Projects]
If data provider does not have data policy, DIAS Terms of Service (https://diasjp.net/en/terms/) and DIAS Privacy Policy (https://diasjp.net/en/privacy/) apply.
If there is a conflict between DIAS Terms of Service and data provider's policy, the data provider's policy shall prevail.
If you plan to use this dataset for a conference presentation, paper, journal article, or report etc., please include acknowledgments referred to following examples. If the data provider describes examples of acknowledgments, include them as well.
" In this study, [Name of Dataset] provided by [Name of Data Provider] was utilized. This dataset was also collected and provided under the Data Integration and Analysis System (DIAS), which was developed and operated by a project supported by the Ministry of Education, Culture, Sports, Science and Technology. "
[Acknowledgement]
If data provider does not have data policy, disclaimer of DIAS Terms of Service (https://diasjp.net/en/terms/) apply.
[Disclaimer]
If there is a conflict between DIAS Terms of Service and data provider's policy, the data provider's policy shall prevail.
GSMaP product produces global precipitation distribution with high temporal
and spatial resolution. The technique uses the Kalman filter to compute the estimates of the current surface rain fall rates at each 0.1 degree pixel of the infrared brightness temperature by the GEO-IR satellites. The filter predict the precipitation rate from the microwave radiometer and its morphed product obtained in a similar way as the Joyce et al. (2004), and then refine the prediction based on the relationship between the IR brightness temperature and surface rainfall rate. In No.3 DVD product, the backward process is introduced to produce the global precipitation map as is the same in No.2. The rain rates from the passive microwave radiometers are generated by Aonashi (2000).
See Ushio et al. (2009) for detail.
â– Resolution
0.1 deg
â– Product Area
Global(N60-S60)
-60
-180
60
180