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Enhancing Productivity and Resilience of Natural Resources
Climate
Variability and Agriculture in the Southeastern United States
Linda
Mearns and colleagues began a project in FY01 that focuses on an agricultural
measurement to quantify uncertainties in spatial assessments, based on
data set sources and various methods of spatial scaling of the data sets,
as well as various means of calibrating and validating crop models over
space. Climate, soils, and crop management data sets are included. Mearns
and colleagues have created methods to aggregate different types of data
over space in the Southeastern United States. They have developed a number
of data sets, and by so doing determine appropriate scale matches for
the different variable types. Part of this will involve determining what
the concept of matching scales really means operationally. Moreover, the
scaling of inputs will be extended for support of an additional goal of
calibrating and validating crop models over space. In FY02, comparisons
of daily weather datasets for the Southeast were compiled, and an exploration
of the uncertainty of estimates of daily-generated climate using a weather
generator approach was completed. A website for the project was created
in FY02 at www.esig.ucar.edu/soeast/
Climate Variability in the Alaskan North Slope Coastal Region
Linda
Mearns and colleages are working on climate change scenarios and downscaling
for the HARC (Human Dimensions of the Arctic System) project at the University
of Colorado. The focus of this project is to understand, support, and
enhance the local decision-making process on the North Slope of Alaska
in the face of climate variability on seasonal-to-decadal time scales,
both natural and as a result of anthropogenic changes. The primary goal
is to help stakeholders clarify and secure their common interest by exchanging
information and knowledge concerning climate and environmental variability.
To achieve this goal, Mearns will apply an improved understanding and
predictive capability of regional climate variability and change to generate
a range of scenarios for changing sea ice variability, extreme weather
events, storm surges, flooding and coastal erosion, and other environmental
factors. These scenarios can be used to predict the probability of states
that affect marine mammals, transportation and offshore resource development.
The ESIG portion of this project was begun in late FY01. Work is under
way in FY02 on the evaluation of how well climate models simulate the
arctic region. A website for the project is available at nome.colorado.edu/HARC/
Geographical Information Systems Strategic Initiative
Geographic
Information Systems (GIS) are powerful software technologies for analyzing
spatial data that are used widely throughout universities, research centers,
governmental agencies, and private industries. The ability of GIS technology
to integrate different data types (e.g., biophysical, geophysical, socioeconomic,
meteorological) from different sources, analyze the data, and present
results in a format useful to decision makers has directed many organizations
toward GIS technologies. The realization that GIS and related tools may
be crucial to the fusion, analysis, and communication of NCAR science
has led to the creation of the GIS Advisory Group. For FY02, the group
includes the following members: Janice Coen (MMM/RAP), Robert Harriss,
Tim Kittel (CGD), Don Middleton (SCD), Jim Moore (JOSS), Ron Murdock (JOSS),
Ron Ruth (ATD), Gerry Wiener (RAP), Olga Wilhelmi, and David Yates (RAP).
The goal of the NCAR GIS Initiative is to explore various opportunities
that GIS can offer for (1) integrated interdisciplinary research within
the organization, as well as between NCAR and the outside research community;
(2) interoperability and data exchange; and (3) visualization and improved
means of communicating scientific information to the public. A workshop
was held in FY02 (see Scientific Highlights) and a website created at
www.esig.ucar.edu/gis/
Impacts of Water
Resource Variability
Kathleen
Miller worked with Tom Graziano (NWS, Silver Spring, MD) during FY02 to
organize a symposium on "Impacts of Water Variability: Benefits and
Challenges" for the upcoming American Meteorological Society's Annual
Meeting, to be held in Long Beach, California, in February 2003. The special
symposium includes ten sessions and more than 80 oral presentations, many
of them invited. See the website at www.ametsoc.org/ams/
for more information. Miller also continued her research on the social,
policy, and institutional issues surrounding management of water in the
Interior West, focusing on the impacts of the severe drought of 2002.
Transboundary Fisheries: Modeling Management Games
Kathleen
Miller and Robert McKelvey (U Montana) are co-Principal Investigators
on a projected funded by NOAA's Office of Global Programs. In collaboration
with Gordon Munro (U British Columbia), Ted McDorman (U Victoria), and
Peter Tyedmers (Dalhousie U), they completed an analysis of US-Canadian
Pacific salmon management and treaty negotiations. In addition, they worked
with Peter Golubtsov (Moscow State Lomonsov U, Russia) to extend the work
to a broader theoretical examination of the effects of incomplete and
asymmetric information in international fishery management games. This
new work, begun in FY02, focuses on simulating the outcomes of competitive
and cooperative games where climate variability affects the abundance
and location of the fishery stock. Also during FY02, Miller and colleagues
prepared four papers. One describes the theoretical model and compares
results to real-world experience in the Pacific salmon case. It was presented
during FY02 at the International Conference on Risk and Uncertainty in
Environmental and Resource Economics, Wageningen, Netherlands. In addition,
Miller worked with Munro on a paper surveying fishery game models, assessing
their applicability to situations characterized by natural variability
and asymmetries, and using the Pacific salmon case to illustrate their
conclusions. This paper was presented at the Second World Congress of
Environmental and Resources Economics, Monterey, California, and published
in the proceedings volume.
Yangtze
River Flood of 1998: Forecasts and Responses
Michael
Glantz and Qian Ye (ESIG Scientific Visitor) began a study of changes
in water management in China after the 1998 Great Flood in the Yangtze
River Basin. To identify these changes, unpublished literature was collected
and interviews conducted with government officials in China responsible
for planning, implementing and evaluating the use of water resources.
They found that assessments of the flood helped the Chinese government
recognize weaknesses in the existing flood control system. Although short-term
climate and weather forecasts are considered to be useful for flood prevention
activities, the gap between the meteorological services and water management
agencies has grown: forecasters put more effort into improving technology
for increasing accuracy of forecasts, whereas water managers put effort
into improving flood control systems and upstream ecological restoration.
A report was prepared by ESIG during FY02 on this project, "The 1998
Yangtze Floods: The Use of Short-Term Forecasts in the Context of Seasonal
to Interannual Water Resource Management."
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