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Determining Optimal Strategy for the Development of Marine Tourism with the Use of a Consolidated Approach of SWOT- ANP (Case Study: Kish Island)*,
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Urban Sprawl and its Impact on Decay of Central Neighborhoods (Case Study: 7-1 Neighborhood in Maragheh)*, ,
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Reviewing the Geographical Potentials of East Azerbaijan Province in Sports Tourists Attraction*,
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Study of the Effective Factors on Life Quality in Villages in City Surroundings (Case Study: Badr Sub- District (Ravansar County)*, ,
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The Quality of Destination Tourism Product, Tourist Satisfaction and Future Behavioral Tendencies of Tourists: The Case of El-Gölü Park in Tabriz*,
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Evaluation of Spatial Interpolation Methods in Preparing the Groundwater Quality Maps and Their Descriptions (Haraz Basin Aquifer Polour Plain)*
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Zoning Suitable Areas for Conservation and Ecotourism Activities Using Multi Criteria Decision Making Techniques (Case Study: Hamedan Province)*, , ,
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Universal Soil Loss Equation (RUSEL) Calibration Using GIS and Remote Sensing (Case Study: Sykhoran of Watershed Hormozgan)*, , ,
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Modeling the Spatial Arrangement of Plastic Recovery Centers (Case Study: Fars Province)*, ,
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Socio- economic Factors in Residential Vulnerability to Earthquake in Tehran City *
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Prediction of Climatic Parameters Using LARS-WG Model in Qare-suClimate change impacts are very dependent on regional geographic features and local climate variability. Impact assessment studies on climate change should therefore be performed at local or at most at the regional level for the evaluation of possible consequences. However, climate scenarios are produced by Global Circulation Models with spatial resolutions of several hundreds of kilometers. For this reason, downscaling methods are needed to bridge the gap between the large scale climate scenarios and the fine scale where local impacts happen. A stochastic weather generator, however, can serve as a computationally inexpensive tool to produce multiple-year climate change scenarios at the daily time scale which incorporate changes in both mean climate and in climate variability. In paper, LARS-WG model were used to downscale GCM outputs and then assessment of the performance were done for generated daily data of precipitati*, ,
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