MODIS Cloud climatology.


This database is a pan-tropical 1km and 250m cloud climatology derived from the MODIS MOD35 Cloud Mask Product

The data represent the results of a research project carried out by Dr. Mark Mulligan at Kings College London.

The entire archive of tropical MOD35 data was analysed to derive annual average, monthly and diurnal statistics on cloud frequency at 1km resolution for the entire tropics and at 250m resolution for tropical land areas.


See the project documentation here
[ will be available in December 2006]

View the cloud climatology in Google Earth (version 4) here

View and access the ARCASCII grids using Google Earth here
[ will be available in December 2006]

Download Google Earth here

For data distribution, the entire tropics are broken up into a series of tiles. Each of these grids contains a10 by 10 degree tile of approx. 1km resolution data.


DATA AVAILABLE
Cloud frequency on average and by month and hour
[ will be available in December 2006]


ACKNOWLEDGMENT AND CITATION
We kindly ask any users to cite this data in any published material produced using this data. Citations should be made as follows:
Mulligan, M. (2006) MODIS MOD35 pan-tropical cloud climatology.Version 1. September 2006. http://www.ambiotek.com/clouds
DISTRIBUTION
Users are prohibited from any commercial, non-free resale, or redistribution without explicit written permission from Kings College London (mark.mulligan@kcl.ac.uk) 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.
NO WARRANTY OR LIABILITY
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.


Accessed times since November 2006