首页> 外文会议>International Conference on Hydroinformatics >Development of future precipitation forecasting program using probability forecast and climate change scenario
【24h】

Development of future precipitation forecasting program using probability forecast and climate change scenario

机译:利用概率预测和气候变化方案开发未来降水预测计划

获取原文

摘要

Recently, it is estimated that Korea and other countries will face water shortage, and the water related industries and technologies will be increasingly important. So the cutting-edge IT technology and existing water management infrastructure have been combined to develop the concept of smart water grid, which is widely applied in Korea and overseas. To apply the smart water grid, it is important to calculate the available volume of water resources. It requires the future precipitation forecasting data analysis, and the precipitation forecast of Korea Meteorological Administration and climate change scenario data can be essential elements in calculating short-term and long-term available quantity of water resources. Korea Meteorological Administration is providing the precipitation data for the next 10 days through community and mid-term forecast while providing the precipitation for the next 3 months through the long-term forecast using past normal-year data. It is difficult to estimate the precipitation after 3 months so this research used the climate change scenario data. RCP8.5 scenario was used to provide the precipitation data of 1km*1km resolution, and especially it used the Kriging technique to interpolate and thus provide the missing grid, which was not provided by conventional RCP scenario, considering the latest administrative district. It used C language based visual studio2013 and the data including the climate change scenario was saved in an Oracle DB so that it can be used through a server of Incheon National University. The Oracle DB contains future RCP scenarios from 2015 to 2050, and a Windows based application was developed so that a user can extract the precipitation data by setting the time frame and location. The extracted result is saved as a text file format in order to facilitate the use.
机译:最近,据估计,韩国和其他国家将面临缺水,水有关的产业和技术将越来越重要。因此,尖端IT技术和现有的水管理基础设施已被组合以开发智能水网的概念,广泛应用于韩国和海外。要涂抹智能水网,重要的是计算水资源的可用量。它需要未来降水预测数据分析,韩国气象管理和气候变化情景数据的降水预测可以是计算短期和长期可用水资源数量的基本要素。韩国气象管理正在通过社区和中期预测提供未来10天的降水数据,同时通过使用过去的正常数据通过长期预测提供未来3个月的降水。 3个月后难以估算降水,因此该研究使用了气候变化情景数据。 RCP8.5方案用于提供1km * 1km分辨率的降水数据,特别是它使用Kriging技术来插值,从而提供丢失的网格,考虑到最新的行政区,不由传统的RCP场景提供。它使用了基于C语言的Visual Studio2013,包括气候变化方案的数据在Oracle DB中保存,以便通过仁川国立大学的服务器使用。 Oracle DB包含2015年至2050的未来RCP方案,并开发了基于Windows的应用程序,以便用户可以通过设置时间帧和位置来提取降水数据。提取的结果保存为文本文件格式,以便于使用。

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