Modelling the impacts of climate and land use change on pantropical
water resources
This database provides information and data from the Tropical
Hydrology and Cloud Forests Project.
The data represent the results of a research project carried
out by Dr.
Mark Mulligan at Kings College London and
This e-mail address is being protected from spam bots, you need JavaScript enabled to view it
of AMBIOTEK and are derived from a variety of
original data sources.
A pan-tropical water balance model was developed and the implications
of historic forest loss in the tropical upland and lowlands examined.
The implications of historic and scenario climates on water resource
availability are also examined.
See the project report in English (3.5 MB) here
You can
find an interactive Google Earth Layer of downloadable GIS data
and results from the project here
Click here
for a short video which indicates how to use this Google Earth
interface (10 MB, AVI).
Download Google Earth here
For data distribution, the entire tropics are broken up into
a series of tiles. Each of these grids contains a 1024 by 1024
km tile of approx. 1km resolution data. The data represent the
results of a research project and are derived from a variety of
original data sources. All data are in the Geographic Coordinate
System, WGS84 datum and are distributed as zipped ARCASCII files.
Data available (covering entire tropics, not only cloud
forest areas)
Forests
allf - current tropical forest fractional cover (%)
forloss - fractional forest cover loss to date (%)
cf - current fractional cloud forest cover (%)
cfloss - fractional cloud forest cover loss to date (%)
unprotcf - unprotected remaining cloud forest cover (%)
Climate
cloud - annual average cloud frequency (%)
wprec - wind driven precipitation inputs (mm/year)
annevap - annual total evapotranspiration (mm/year)
Hydrology
annbal - annual water balance (wind driven rainfall minus evapo-transpiration)
(mm/year)
sensluc - hydrological sensitivity to land use change (change
in water balance per unit change in land cover fraction) (mm/%)
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. and Burke, S.M. (2005) Global cloud forests and environmental
change in a hydrological context. December 2005. http://www.ambiotek.com/cloudforests
DISTRIBUTION
Users are prohibited from any commercial, non-free resale, or
redistribution without explicit written permission from Kings
College London (
This e-mail address is being protected from spam bots, you need JavaScript enabled to view it
) 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.
|