**Author details**

*Rainfall - Extremes, Distribution and Properties*

observations.

affected areas.

**5. Conclusions**

to climate variability and change.

extreme precipitation products.

Declaration: There is no conflict of interest.

**Acknowledgements**

**Conflict of interest**

respectively. Only data pairs of precipitation over a 0.25<sup>o</sup>

Scatter plot—comparison between CPC GAG and GSMaP satellite precipitation estimates—is presented in **Figure 21**; results for pentad (5-day) and 10-day mean precipitation (mm/day) are plotted on the top and bottom panels,

least one reporting rain gauge are included in the comparison. The correlation coefficients of pentad and 10 days are 0.84 and 0.88, respectively, indicating good agreement between space-based estimates and surface-based rain gauge

An example of detecting daily heavy precipitation using GSMaP data is presented in **Figure 22**. Precipitation was particularly heavy across the eastern coast of the peninsular with daily totals above 200 mm (**Figure 22a**); this exceeded 18-year climatology more than five times (**Figure 22b**). In Narathiwat province of Thailand and Kelantan and Terengganu provinces of Malaysia, the daily precipitation was higher than the 99th percentile (**Figure 22c**) causing widespread flood in the

In summary, presented case studies of detecting extreme precipitation in Australia, Thailand, and the Peninsular Malaysia demonstrate that space-based observations provide valuable information for monitoring heavy rainfall.

These first results of implementation of WMO SEMDP demonstrate that space-based estimates of extreme precipitation are an effective solution to enhance capacity of RCCs and NMHSs for monitoring drought and heavy rainfall assisting governments and local communities with informed decision-making in adaptation

The World Meteorological Organization and the Climate Risk and Early Warning Systems (CREWS) international initiative provided financial support for SEMDP. The EORC/JAXA and the CPC/NOAA developed operational SEMDP

lat/lon grid box with at

**68**

Yuriy Kuleshov1,2,3\*, Toshiyuki Kurino4 , Takuji Kubota<sup>5</sup> , Tomoko Tashima5 and Pingping Xie6

1 The Australian Bureau of Meteorology, Melbourne, Australia

2 Royal Melbourne Institute of Technology (RMIT) University, Melbourne, Australia

3 The University of Melbourne, Melbourne, Australia

4 World Meteorological Organization, Geneva, Switzerland

5 Earth Observation Research Center, Japan Aerospace Exploration Agency (EORC/JAXA), Tsukuba, Japan

6 Climate Prediction Center, National Oceanic and Atmospheric Administration (CPC/NOAA), Washington, DC, USA

\*Address all correspondence to: y.kuleshov@bom.gov.au

© 2019 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/ by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
