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Scientific personnel
V. E. Romanovsky, T. E. Osterkamp, and D.O.Sergueev, in collaboration
with A.D.McGuire (Alaska Cooperative Fish and Wildlife Research
Unit), F.S.Chapin (Institute of Arctic Biology, UAF), and Q.Zhuang
(Department of Biology and Wildlife ).
This material is based upon work supported by the
National Science Foundation under Grant OPP-9732126. Any opinions,
findings, conclusions, or recommendations expressed in the material
are those of the author(s) and do not necessarily reflect the views
of the National Science Foundation.
This
is a cooperative project with scientists from the Cooperative Institute
for Research in Environmental Sciences, University of Colorado-Boulder,
Boulder CO, from the Institute of Arctic Biology University of Alaska
Fairbanks, and from the Division of Climate and Global Dynamics
National Center for Atmospheric Research, Boulder CO. This project
takes a comprehensive approach to the study of land surface energy
and moisture budgets, involving both data collection, detailed data
analysis, model development, and spatial and temporal extrapolation.
As such, this project represents a new approach to interdisciplinary
research, in which the field program, both ecological and physical,
is closely tied to the simulation of ecosystems and climate systems.
This project takes a comprehensive approach to the study of land
surface energy and moisture budgets, involving both data collection,
detailed data analysis, model development, and spatial and temporal
extrapolation.
Our work is driven by the hypothesis that the transition
regions of Arctic climate and ecosystems (e.g. polar front, boreal
forest treeline) have surface energy budget characteristics that
are not well understood and that these characteristics have profound
implications for changed ecosystems, permafrost, snow and atmospheric
circulation distributions under a changing climate.
In order to produce credible predictions of these
distributions for the entire Arctic, it is necessary to investigate
these characteristics, determine parameterizations for their efficient
modeling and incorporate these new parameterizations into spatially
explicit predictive models.
To do this, we will employ a hierarchy of modeling
approaches, including highly detailed stand-alone permafrost, vegetation
and land surface models, column atmospheric models, vegetation dynamics
models and regional and global climate system models.
This project started in May 1998. During this period
of time, we installed equipment for temperature and soil moisture
measurements in the active layer and near-surface permafrost at
four sites near Ivotuk, North Slope of Alaska. This equipment
will provide hourly data for analysis. We successfully incorporated
our one-dimensional finite difference soil thermal model into the
Terrestrial Ecosystem Model (TEM) of A. D. McGuire and colleagues.
This coupled model was successfully tested for the old black spruce
ecosystem in several regions in North America.
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