...
首页> 外文期刊>International Journal of Climatology: A Journal of the Royal Meteorological Society >Calibration of PRECIS in employing future scenarios in Bangladesh
【24h】

Calibration of PRECIS in employing future scenarios in Bangladesh

机译:在孟加拉国采用未来方案时对PRECIS进行校准

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

Providing Regional Climates for Impacts Studies (PRECIS) is a regional climate model, which is used for the simulation of regional-scale climatology at high resolution (i.e. 50-km horizontal resolution). The calibration of rainfall and temperature simulated by PRECIS is performed in Bangladesh with the surface observational data from the Bangladesh Meteorological Department (BMD) for the period 1961-1990. The Climate Research Unit (CRU) data is also used for understanding the performance of the model. The results for the period 1961-1990 are used as a reference to find the variation of PRECIS-projected rainfall and temperature in 2071, in and around Bangladesh, as an example. Analyses are performed using the following two methods: (1) grid-to-grid and (2) point-to-point analyses. It is found that grid-to-grid analysis provides overestimation of PRECIS in Bangladesh because of downscaling of observed data when gridded from asymmetric low-density data network of BMD. On the other hand, model data extracted at observational sites provide better performance of PRECIS. The model overestimates rainfall in dry and pre-monsoon periods, whereas it underestimates it in the monsoon period. Overall, PRECIS is found to be able to estimate about 92% of surface rainfall. Model performance in estimating rainfall increases substantially with the increase in the length of time series of datasets. Systematic cold bias is found in simulating the annual scale of the surface temperature. In the annual scale, the model underestimates temperature of about 0.61 degrees C that varies within a range of +1.45 degrees C to -3.89 degrees C in different months. This analysis reveals that rainfall and temperature will be increased in Bangladesh in 2071. On the basis of the analyses, look-up tables for rainfall and temperature were prepared in a bid to calibrate PRECIS simulation results for Bangladesh. The look-up tables proposed in this analysis can be employed in the application of the projected rainfall and temperature in different sectors of the country. These took-up tables are useful only for the calibration of PRECIS simulation results for future climate projection for Bangladesh. Copyright (c) 2007 Royal Meteorological Society.
机译:提供影响研究的区域气候(PRECIS)是一种区域气候模型,用于模拟高分辨率(即50公里水平分辨率)的区域尺度气候学。由PRECIS模拟的降雨和温度的校准是在孟加拉国进行的,其中使用了孟加拉国气象局(BMD)1961-1990年期间的地面观测数据。气候研究单位(CRU)的数据也用于了解模型的性能。举例来说,以1961-1990年期间的结果作为参考,以查明2071年孟加拉国及周边地区PRECIS预估的降雨量和温度的变化。使用以下两种方法执行分析:(1)网格到网格和(2)点对点分析。发现从孟加拉国非对称低密度数据网络网格划分时,由于观测数据的缩减,网格到网格分析提供了对孟加拉国PRECIS的高估。另一方面,在观测点提取的模型数据可提供更好的PRECIS性能。该模型高估了干旱和季风前的降雨量,而低估了季风期的降雨量。总体而言,发现PRECIS能够估算约92%的地面降雨。随着数据集时间序列长度的增加,用于估计降雨量的模型性能显着提高。在模拟表面温度的年尺度时发现系统的冷偏差。在年尺度上,该模型低估了大约0.61摄氏度的温度,该温度在不同月份的+1.45摄氏度至-3.89摄氏度的范围内变化。该分析表明,到2071年孟加拉国的降雨量和温度将增加。在分析的基础上,准备了降雨量和温度查询表,以校准孟加拉国的PRECIS模拟结果。该分析中提出的查询表可用于该国不同部门的预计降雨量和温度应用。这些汇总表仅用于校准PRECIS模拟结果,以预测孟加拉国的未来气候。版权所有(c)2007皇家气象学会。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号