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Final Technical Report - weADAPT

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processes taking place at the land surface - atmosphere interface. A mosaic<br />

representation of land surface cover, and sub grid parameterizations for infiltration<br />

and the spatial variability of precipitation, account for sub-grid scale heterogeneities<br />

in key hydrological processes. The model uses two soil layers and a vegetation layer<br />

with energy and moisture fluxes exchanged between the layers. Vegetation and soil<br />

characteristics associated with each grid cell are reflected in sets of vegetation and<br />

soil parameters. Parameters for vegetation types are specified in a user defined<br />

library of vegetation classes (usually derived from standard, national classification<br />

schemes), while their distribution over the gridded land surface area is specified in a<br />

vegetation parameter file. Soil characteristics (e.g. sand and clay percents, bulk<br />

density) can be represented for a user-defined number of vertical soil layers - usually<br />

two or three, divided into a thin upper layer and a secondary set of layers that extend<br />

several meters into the soil column (Lohman, et al, 1998).<br />

o Study of impact of climate change on rain-fed agriculture in Lower Mekong River<br />

Basin<br />

Crop model was used to simulate future potential yield of rice productivity in the<br />

region under different climate conditions from the scenarios simulated by climate<br />

model. Decision Support System for Agro Technology Transfers (DSSAT version<br />

4.0) crop modeling software (Hoogenboom et al, 1998) was selected as simulation<br />

tool in this. The crop modeling software used daily climate data from the climate<br />

simulation, including maximum and minimum temperature, precipitation, solar<br />

radiation, etc., coupled with crop management scheme and soil property to calculate<br />

potential yield of rice in the study area. By using daily climate data for the simulation<br />

process, this study is able to capture the impact of climate change on rain-fed rice<br />

production not only in terms of the change in degree of intensity of each climate<br />

parameter, e.g. increase or decrease in rainfall or temperature, but also change in<br />

temporal aspect too, e.g. shifting of the onset or changing on the length of raining<br />

season or change in the pattern of mid-season dry spell period, etc.<br />

<strong>Final</strong> technical report – AIACC AS07 13

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