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May 2008
USAID, NASA, the Institute for the Application of Geospatial Technology (IAGT), the University of Colorado, and CATHALAC are pleased to announce the beta release of the Climate Mapper tool for SERVIR—the Regional Visualization and Monitoring System. The Climate Mapper makes the results of climate change models accessible to a broad user community. With the Climate Mapper, users can assess climate change projections for the 2030s and 2050s against 3D visualizations of landscape. This should enhance vulnerability assessments as development planners consider adaptation strategies for projects.
The Climate Mapper and SERVIR Viz can be downloaded at: http://maps.cathalac.org/downloads/SERVIR_viz/CC_Mapper_Plugin_0.9.exe
The Climate Mapper data are currently available for Africa for ½ degree
½ degree grid cells, or roughly 50km x 50km near the equator. The
Mapper will soon expand to cover the entire globe. The Climate Mapper
presents historical temperature and precipitation for the base period
(1961-1990). These data are taken from the University of East Anglia's
Climate Research Unit (CRU) database of monthly climate observations
from meteorological stations and interpolated onto a 0.5° grid covering
the global land surface.
The modeled data are monthly data averaged over the decades 2031-2040
and 2051-2060. Data are outputs of three of the models used in the
IPCC’s 4th Assessment Report: the National Center for Atmospheric
Research Community Climate System Model (NCAR CCSM); the European
Centre/Hamburg Model (ECHAM); and the Geophysical Fluid Dynamics
Laboratory Coupled Model (GFDL-CM21). These models were chosen because
they represent the highest, middle, and lowest projections for changes
in Africa in the Climate Moisture Index (CMI), a measure of the
relative balance of precipitation and temperature. The models were run
using the A1B SRES scenario, a scenario of economic activity and carbon
emissions that most closely represents the current or business-as-usual
economic and carbon emissions trajectory. The data presented as maps
and graphs are the difference (delta) of a ten year average of GCM
monthly values for the SRES A1B scenario compared with the 30 year
average base period (1961 -1990).
The Climate Mapper grew out of USAID’s effort to develop its Climate
Change Adaptation Guidance Manual. There is a need to provide access
to climate and weather data that has previously been hard to access.
Information on past weather and projected climate should inform
development practitioners as they design projects to be more resilient
to climate variability and change. Designers should know that climate
projections are not predictions; they are scenarios of possible futures
based on complex models. Models provide insights, but all of the
development practitioner’s knowledge and experience should be brought
into the design of a project.
The Climate Mapper initially serves Africa as part of SERVIR’s
expansion beyond Mesoamerica, where SERVIR first got underway. SERVIR
is a collaboration among various agencies including NASA, USAID,
CATHALAC, the Central American Commission for Environment and
Development (CCAD) and the World Bank. A complete list of key SERVIR
partners can be viewed by going to http://www.servir.net/ and clicking
on “partners.” SERVIR integrates satellite and other geospatial data
for improved scientific knowledge and decision making by managers,
researchers, students, and the general public. The Regional Center for
Mapping of Resources for Development (RCMRD) in Nairobi, Kenya is soon
to become a SERVIR node, complementing the regional hub already
established in Panama. RCMRD will host a suite of visualization and
monitoring tools, such as the Climate Mapper, for environmental
management and decision support. The Climate Mapper is a plugin for
SERVIR-Viz, a customized version of WorldWind, NASA’s free,
open-source, web-enabled, 3D earth exploration tool. As with other
mapping browsers such as Google Earth, SERVIR-Viz allows users to zoom
to any place on Earth and tilt the viewing angle so that they can "fly"
across a 3-D terrain. The software taps into remotely-hosted framework
data layers, maps, and satellite images and other SERVIR products in an
interactive, 3D globe environment. Using the Climate Mapper plug-in,
users can zoom into specific areas within Africa and view summarized
data in the form of charts and graphs. Climate data are stored on the
user’s hard drive and do not require a high speed internet connection.
This is a trial or beta release of the Climate Mapper Plug-in. We
welcome comments on the tool’s usability, the interface, and thoughts
on the data we are making available. We will try to incorporate
suggestions into updates to the Plug-in. We also welcome suggestions
for additional datasets for the Climate Mapper to facilitate
development and adaptation, or suggestions for additional plug-ins for
SERVIR Viz.
Please send comments and suggestions to John Furlow at:
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