Extreme Rainfall Monitoring
Extreme Rainfall Monitoring (ERM) is an experimental tool developed by the United Nations World Food Programme in Indonesia written in Google Earth Engine (GEE) platform. I started working on this since Nov 2016 with Prof. Rizaldi Boer of Climatology Laboratory - Bogor Agricultural University as Scientific Advisor and some contributors from my colleagues at WFP HQ and Indonesia.
ERM are able to inform where is the estimated location of extreme rainfall and its impact to population and crop in the last 5-days and forecast up to 5-days ahead based on selected date. ERM module is part of Vulnerability Analysis and Monitoring Platform for Impact of Regional Events (VAMPIRE - now called PRISM) hazard monitoring module. Some of the analysis has been modified and adjusted to GEE based on data availability and considering the computation resources within GEE. While the methodology written in the documentation below is still reflecting what we developed in VAMPIRE.
Documentation
Demo
https://bennyistanto.users.earthengine.app/view/wfpid-erm
GEE code
https://code.earthengine.google.com/9726f90319b509450dc752a02663c066
Tools: Google Earth Engine. Some of the input was prepared via different platform: ArcGIS Pro, R Statistics, and Excel
Year: 2021
Contributors: Rogerio Bonifacio, Rochelle OHagan, Pramashavira, Michael Manalili, Anggita Annisa, Jeffry Pupella, Ridwan Mulyadi, Diego Novoa
Reference:
ERM on PRISM presented as example application (Slide 25) on NASA’s GPM event: https://gpm.nasa.gov/sites/default/files/meeting_files/2021_IPWG_Workshop/GPM%20Precipitation%20Data%20and%20Applications.pdf