A framework of land use change dynamics (LUCD) model compatible with regional climate models (RCMs) is introduced in this paper. The LUCD model can be subdivided into three modules, namely, economic module, vegetation change module, and agent-based module. The economic module is capable of estimating the demand of land use changes in economic activities maximizing economic utility. A computable general equilibrium (CGE) modeling framework is introduced and an approach to introduce land as a production factor into the economic module is proposed. The vegetation change module provides the probability of vegetation change driven by climate change. The agroecological zone (AEZ) model is supposed to be the optimal option for constructing the vegetation change module. The agent-based module identifies whether the land use change demand and vegetation change can be realized and provides the land use change simulation results which are the underlying surfaces needed by RCM. By importing the RCMs' simulation results of climate change and providing the simulation results of land use change for RCMs, the LUCD model would be compatible with RCMs. The coupled simulation system composed of LUCD and RCMs can be very effective in simulating the land surface processes and their changing patterns. 1. Introduction There are two primary factors that contribute to climate change: land use change and greenhouse gas emission [1, 2]. Land use change, which has been found to affect climate change in both biogeochemical and biogeophysical ways, is fundamentally important for the researches of regional climate change [3]. In regional climate modeling, land use data are applied as underlying surfaces and definitively determine the simulation results of regional climate [4]. Many simulation experiments have proven that the simulation results of RCMs are sensitive to underlying land use and land cover changes (LUCC) [5, 6]. While the interaction between land use change and climate change has been fully realized, most RCMs introduce LUCC data exogenously [7, 8]. Always, they apply the LUCC data of one year of history as underlying surfaces and keep them constant ignoring the interaction between LUCC and climate variations. This paper provides a framework of land use change dynamics (LUCD) model compatible with RCMs to introduce parameterized LUCC into regional climate change modeling endogenously. Several suggested models are introduced and some specific parameter processing approaches are explained in detail. This modeling framework helps to enhance the understanding of the coupling
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