Geography Reference
In-Depth Information
RCM and applying the simulation results of RCM in the LUCD model, a coupled
simulation system of land surface system simulation can be established.
In addition to the modeling framework, several suggested models are intro-
duced and some specific parameter processing approaches are explained in detail
for the constitution of the LUCD model. For the economic module, a CGE
modeling framework and the difference between land and other production factors
in CGE model are introduced. The effects of climate change on human activities
are also taken into consideration by establishing production function for each
AEZ. The AEZ model is suggested for the vegetation change module and two
indexes (possibility of vegetation change and superiority index) are supposed to
determine the climate-induced vegetation change. For the agent-based module, an
example of land use change decision making and the criterion of vegetation
change is provided.
To ensure the output on LUCC of LUCD model easily feed into RCMs, the
classification system of LUCC should be comparable with that needed by RCMs as
underlying surface. The classification system determines the choice of driving
factors that affect land use change, vegetation change as well as decision making
processes in the LUCD model. And the specific parameter processing approaches
provided in this study can also serve as valuable examples even if a new modeling
approach is used in the LUCD model.
2.2 Weather Research and Forecasting Model
With the development of the climate models and land surface process models, the
numerical simulation has become widely used to study the influence of LUCC on
climate. The WRF Model is a next-generation mesoscale numerical weather
prediction system designed to serve both atmospheric research and operational
forecasting needs. It features two dynamical cores, a data assimilation system, and
a software architecture allowing for parallel computation and system extensibility.
The model serves a wide range of meteorological applications across scales
ranging from meters to thousands of kilometers. The effort to develop WRF model
began in the latter part of the 1990s and was a collaborative partnership principally
among the National Center for Atmospheric Research (NCAR), the National
Oceanic and Atmospheric Administration,
1
the Air Force Weather Agency
(AFWA), the Naval Research Laboratory, the University of Oklahoma, and the
Federal Aviation Administration (FAA).
1
National Oceanic and Atmospheric Administration are represented by the National Centers for
Environmental Prediction (NCEP) and the (then) Forecast Systems Laboratory (FSL).
