A program to generate high-resolution climate data for climate change studies
and applications in western North America
ClimateWNA ver 4.72 is now available. To see what is new in this version, please click
extracts and downscales PRISM (Daly et al. 2002) monthly data (2.5 x 2.5 arcmin) for the reference
period (1961-1990), and calculates seasonal and annual climate variables for specific
locations based on latitude, longitude and elevation (optional) for western North America, shown in the map on the right. This program
also downscales and integrates historical (1901-2011) (Mitchell
and Jones 2005 for 1901-2009) and future climate data (2020s, 2050s and 2080s)
generated by various global circulation models. The output includes both directly calculated and derived climate
variables. There are 21 annual, 48 seasonal and 144 monthly climate variables
are described in Wang et al. (2012). The program has a
desktop version and web version. For users in British Columbia, please check
ClimateBC for a smaller file size for the desktop version
and a new Google map based web version.
ClimateWNA stand-alone desktop version allows users to
interactively access to one location at a time or to multiple (unlimited)
locations through an input coordinate file for one period or a time series. For
version history, click here.
The program can be downloaded
here for free. The download size is
about 94 MB (compressed), but it will take about 400 MB of your disk space when
uncompressed. No installation is needed. After the zip file is uncompressed into
a folder, click on "ClimateWNA_v4.72.exe", it will start.
In case the program does not run
on your computer, please download and install this
library file and try it again. If you are
not able to install the library file, please click on "ClimateWNA_v4.72_npb.exe"
(a reduced version included in the package) instead. The reduced version has the same functions except
for not showing the progress bar. The program can also run on Linux, Unix and Mac systems with the free software Wine or MacPorts/Wine.
There are 20 climate change scenarios
from IPCC Fourth Assessmnt (AR4)
included in this package. The driving files for a complete list of scenario/GCM
runs can be
downloaded from PCIC. Alternatively, the driving files for all average
ensembles can be
downloaded from Hamann's lab at the University of Alberta.
A large number of spatial datasets (1x1km) of climate variables generated by Hamann's lab with ClimateWNA ver4.62 are available for download. The datasets include climate variables for the 1961-1990 reference period and future periods based on 23 AR4 GCMs.
For information about climate variables and instructions, please check the Help file.
ClimateWNA web version allows users to interactively get climate data for one location
at a time.
The web-based program is
designed for periodic users or those with program installation restrictions on
their computers. Click on the image below to access the web version.
T., Hamann, A., Spittlehouse, D., and Murdock, T. N. 2012. ClimateWNA -
High-Resolution Spatial Climate Data for Western North America. Journal of
Applied Meteorology and Climatology 61: 16-29. The online version is
T., Hamann, A., Spittlehouse, D., and Aitken, S. N. 2006. Development of scale-free
climate data for western Canada for use in resource management. International
Journal of Climatology, 26(3):383-397.
Daly. C., Gibson. W.P., Taylor, G.H., Johnson, G.L., Pasteris, P. 2002. A knowledge-based approach to the statistical mapping of climate. Climate Research, 22:99-113.
Mitchell, T.D. and Jones,
P.D. 2005. An improved method of constructing a database of monthly climate observations
and associated high-resolution grids. International Journal of Climatology, 25,
GIS maps generated from
ClimateWNA output for western North America
1. Mean annual temperature (MAT) and mean summer precipitation for 1961-1990 normal period.
2. High-resolution maps of mean annual temperature (MAT) in a mountain area of south Washington.
Forest Genetics Council of
British Columbia (FGC)
Forest Ecosystems Scientific Council (FFESC), the Ministry of Forests, Lands and
Natural Resource Operations
Contact: Tongli Wang