Contact Mark Mulligan . Click here to access the data (required Google Earth version 4+). How to use (video) (requires Adobe flash ). If your version of Google Earth shows errors when downloading zipped data files from these sites, please right mouse button click the links to the data and choose save link from the context menu that appears. This will then open the link in your web browser.
This is a rainfall climatology based on analysis of the full dataset for TRMM 2B31 (combined PR, TMI profile) from 1997-2006. A series of layers are available including monthly mean surface rainfall, annual surface total rainfall, rainfall per rain hour, driest and wettest months and wind driven (i.e. surface received) rainfall. If you tick 'Rainfall' under 'Temporary places', each of the grids that you see represents a 1000 by 1000 km tile and contains a placemark which links to approx. 1km resolution data. The climatology has been calculated as means of all rainfall observations to March 2006 with the TRMM 2b31 product and represent atmospheric rainfall. Apprximately 50,000 satellite swaths (0.5 TB of data) were processed to produce these grids.
TRMM rainfall climatology in Google Earth
The wind-driven rainfall represent rainfall reaching the ground and is modelled on the basis of 1km gridded TRMM rainfall, wind speed and direction and terrain conditions (slope, aspect and topographic exposure) The data processing and the visualisation, subtiling and Google Earth KML interface were carried out by Dr Mark Mulligan of Kings College London . The actual data can be accessed from servers at Kings College London, UK. The data are available in zipped ARCASCII
format, in the geographic coordinate system, WGS84 datum.
TRMM 1km rainfall climatology in Google Earth
View a comparison between this TRMM Climatology and the WorldClim rainfall climatology here
Please use the citation : Mulligan, M (2006) Global Gridded 1km TRMM Rainfall Climatology and Derivatives.Version 1.0. Database: http://geodata.policysupport.org/2b31climatology
The data used in this study were acquired as part of the Tropical Rainfall Measuring Mission (TRMM). The algorithms were developed by the TRMM Science Team. The data were processed by the TRMM Science Data and Information System (TSDIS) and the TRMM Office; they are archived and distributed by the Goddard Distributed Active Archive Center. TRMM is an international project jointly sponsored by the Japan National Space Development Agency (NASDA) and the U.S. National Aeronautics and Space Administration (NASA) Office of Earth Sciences.
Users are prohibited from any commercial, non-free resale, or redistribution without explicit written permission from Kings College London (email@example.com) Users should acknowledge Kings College London as the source used in the creation of any reports, publications, new data sets, derived products, or services resulting from the use of this data set. Kings College London also request reprints of any publications and notification of any redistributing efforts.
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Kings College London provides these data without any warranty of any kind whatsoever, either express or implied, including warranties of merchantability and fitness for a particular purpose. Kings College London shall not be liable for incidental, consequential, or special damages arising out of the use of any data downloaded.