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Tools
0.04° Realtime Precipitation Server
G-Wadi GeoServer for High Resolution Precipitation
tutorials for G-Wadi
View G-WADI Realtime Global Precipitation on Google Earth
G-WADI Heavy Precipitation (Flood Potential)

PERSIANN-CONNECT

Drought Visualization
GIDMaPS Drought Tool

0.25° Precipitation Server
Hydis link
Global Latest Rainfall Animation
48-hour Global Animation PERSIANN-CCS
Access to PERSIANN 0.25° 3 and 6 hourly Archives
Direct Access to PERSIANN Archive (2000-Current)
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RainMapper Smart Phone app


Near real-time global precipitation imagery on-the-go now available with the RainMapper app developed at the Center for Hydrometeorology and Remote Sensing (CHRS) at the University of California Irvine (UCI). RainMapper provides access to PERSIANN-CCS (Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks - Cloud Classification System) a real-time global high-resolution (~4km) satellite precipitation product.


Evolution of Typhoon Rammasun using RainMapper app: Rain totals of 3, 6, 12, 24, 48 and 72 hours

RainMapper is available for iOS devices (iPhones 4x, 5x; iPad, iPad Mini, iPods) and Android devices (Android phones and tablets). RainMapper is compatible with iOS 6 or later.
RainMapper can be downloaded (free) from App Store and Google Play.

Super Typhoon Haiyan

Total accumulated precipitation (mm) of Typhoon Haiyan (11-03-2013 00:00 to 11-11-2013 24:00 UTC) estimated by PERSIANN-CCS

Tracking Haiyan's centroid each day from its formation on November 3rd to its dissipation on November 11th, 2013. The sizes of the circles are proportional to the amount of precipitation as estimated by PERSIANN-CCS. The maximum accumulated precipitation shown is 615 mm.

CHRS Mission Statement

Building Global Capacity for Forecast and Mitigation of Hydrologic Disasters through the development of means to extend the benefits of space and weather agencies' vast technological resources, which are untapped, into applications that can assist hydrologists and water resource managers worldwide and through equitable access to relevant nformation

Objectives

  • Improve hydrologic prediction through development and refinement of hydrologic models and use of advanced observations, particularly from remote sensing sources
  • Develop mathematical algorithms capable of estimating precipitation both from space-based and in-situ observations at spatial and temporal resolutions relevant to hydrologic applications, particularly in the semi arid environments
  • Develop decision support tools for generating and evaluating a variety of hydro-meteorologic and hydro-climatologic information required by the water resources management community
  • Contribute to the education of well trained hydrologists and water resources engineers responsive to the growing needs of public and private sectors at the state, national and international levels.

CHRS will pursue its mission through interdisciplinary research and education involving faculty and students from Engineering, Physical Sciences, and Social Ecology as well as cooperation with a number of other universities and national laboratories.


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