Article citationsMore>>

Kubota, T., Shige, S., Hanshizume, H., Aonashi, K., Takahashi, N., Seto, S., Takayabu, Y.N., Ushio, T., Nakagawa, K., Iwanami, K., Kachi, M. and Okamoto, K. (2007) Global Precipitation Map Using Satellite-Borne Microwave Radiometers by the GSMaP Project: Production and Validation. IEEE Transactions Geoscience Remote Sensing, 45, 2259-2275.
https://doi.org/10.1109/TGRS.2007.895337

has been cited by the following article:

• TITLE: Evaluation of GSMaP Daily Rainfall Satellite Data for Flood Monitoring: Case Study—Kyushu Japan

  AUTHORS: Martiwi Diah Setiawati, Fusanori Miura

  KEYWORDS: Evaluation, GSMaP_MVK, Flood Monitoring, Kyushu

  JOURNAL NAME: Journal of Geoscience and Environment Protection, Vol.4 No.12, December 8, 2016

  ABSTRACT: In this paper, the Global Satellite Mapping of Precipitation Moving Vector with Kalman filter (GSMaP_MVK) was evaluated and corrected at daily time scales with a spatial resolution of 0.1°; latitude/longitude. The reference data came from thirty-four rain gauges on Kyushu Island, Japan. This study focused on the GSMaP_MVK’s ability to detect heavy rainfall patterns that may lead to flooding. Statistical analysis was used to evaluate the GSMaP_MVK data both quantitatively and qualitatively. The statistical analysis included the relative bias (B), the mean error (E), the Nash-Sutcliffe coefficient (CNS), the Root Mean Square Error (RMSE) and the correlation coefficient (r). In addition, Generalized Additive Models (GAMs) were used to conduct GSMaP_MVK data correction. The results of these analyses indicate that GSMaP_MVK data have lower values than observed data and may be significantly underestimated during heavy rainfall. By applying GAM to bias correction, GSMaP_MVK’s ability to detect heavy rainfall was improved. In addition, GAM for bias correction could effectively be applied for significant underestimates of GSMaP_ MVK (i.e., bias of more than 55%). GAM is a new approach to predict rainfall amount for flood and landslide monitoring of satellite base precipitation, especially in areas where rain gauge data are limited.