Forecasting the Future Temperature Using a Downscaling Method by LARS-WG Stochastic Weather Generator at the Local Site of Phitsanulok Province, Thailand

• 作者: Bancha Kwanyuen
• 来源期刊: 大气和气候科学(英文)
• 学科: 经济
• 关键词: LARS-WG CMIP5 Climate Change DOWNSCALING TEMPERATURE
• 年，卷（期）: dqhqhkxyw_2020,（4）
• 页码范围: 538-552
• 页数: 15页
• 分类号: F42

摘要

The study evaluates the effect of climate change on temperature, which is one of the most important variables in water resources management and irrigation scheduling. Climate prediction is necessary in the agricultural and hydrological analysis. This study proposed an approach to the application of the Long Ashton Research Station Weather Generator (LARS-WG) in Coupled Model Inter-comparison Project Phase 5 (CMIP5) under EC-Earth and MPI-ESM-MR. The first step is model calibration, where the observed dataset is analyzed statistically. In the second stage, the synthetic data and observed data are checked for Kolmogorov-Smirnov and the means and standard deviations. In order to evaluate the response of temperature under future warmer climate trends, the approach was assessed using data series. These parameters consisted of the minimum and maximum temperature at the Phitsanulok Meteorological Station (WMO Index 48378) and RCP4.5 climate change scenario for the base period as well as for 2021-2040 (the near future), 2041-2060 (the medium future) and 2061-2080 (the far future). The results of the numerical applications indicated that the linkage between the observed data spatially downscaled from LARS-WG simulations with the historical one of the locations during the baseline period had a very good accuracy. It was also found that the future climate change of temperature contributed to higher change. The mean of minimum temperature in the baseline year was 23.13<span style="white-space:nowrap;">&deg;</span>C while the mean of minimum temperature in the projection period for 2021-2040, 2041-2060 and 2061-2080 is expected to be 24.09 (+4.18%), 24.49 (+5.94%) and 24.82 (+7.36%)<span style="white-space:nowrap;">&deg;</span>C, and 24.12 (+4.32%), 24.82 (+7.36%) and 25.08 (+8.48%)<span style="white-space:nowrap;">&deg;</span>C for the EC-Earth and MPI-ESM-MR, respectively. While, the mean of maximum temperature in the baseline year was 33.41<span style="white-space:nowrap;">&deg;</span>C, the maximum temperatures are projec