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公开(公告)号：KR101335209B1
公开(公告)日：2013-11-29
申请号：KR1020130109891
申请日：2013-09-12
Applicant: 공주대학교 산학협력단
Abstract: A method for generating high-resolution grid-type scenario data on changes in the future climate according to the present invention comprises the steps of: applying currently observed climate data, which are collected, to an MK-PRISM model to generate the observed climate data of a high-resolution grid type; calculating an observed climate value of a day-time scale by using the generated the observed climate data of the high-resolution grid type; objectively analyzing current climate data and future climate data simulated by a local climate model to generate the current climate data and the future climate data of the high-resolution grid type; calculating a model climate value of a day-time scale by using the generated current climate data of the high-resolution grid type; generating the variation of the future climate scenario of the local climate model by using the calculated model climate value; combining the calculated observed climate value and the generated variation of the future climate scenario; and climatologically correcting each variable of the combined result. The present invention resolves problems caused by a systematic error and a seasonal variation which low-resolution scenario data on changes in the climate simulated by the local climate model contain, and generates low-resolution grid-type scenario data on changes in the future climate, to which climate characteristics according to high-resolution geographic information more than 1 km are reflected, thereby providing reliable information. [Reference numerals] (AA) Start;(BB) End;(S101) Create high-resolution grid type climate observation data by processing observed climate data with an PRISM model;(S102) Calculate an observed climate value by using the high-resolution grid type climate observation data;(S103) Generate high-resolution grid type current and future climate data and the future climate data by processing the current and future climate data discussed in a local climate model with an objective analysis method;(S104) Calculate a model climate value using the generated high-resolution grid type current and future climate data;(S105) Generate the variation of the future climate scenario of the local climate model by using the calculated model climate value;(S106) Combine the observed climate value and the generated variation of the future climate scenario;(S107) Climatologically correct each variable of the combined result
Abstract translation: 根据本发明的用于生成关于未来气候变化的高分辨率网格型场景数据的方法包括以下步骤：将所收集的当前观测到的气候数据应用于MK-PRISM模型以产生观测到的气候数据 的高分辨率网格型; 通过使用生成的观察到的高分辨率网格类型的气候数据来计算日间尺度的观测气候值; 客观分析当前气候数据和当地气候模式模拟的未来气候数据，以生成当前气候数据和高分辨率网格类型的未来气候数据; 通过使用生成的高分辨率网格类型的当前气候数据计算日间尺度的模型气候值; 通过使用计算出的模型气候值，产生当地气候模式未来气候情景的变化; 将观测到的气候值与未来气候情景产生的变化相结合; 并对结果的每个变量进行气候校正。 本发明解决了由当地气候模式模拟的气候变化对低分辨率情景数据的系统误差和季节变化造成的问题，并针对未来气候变化生成低分辨率网格型情景数据， 根据高分辨率地理信息超过1公里的气候特征得到反映，从而提供可靠的信息。 （附图标记）（AA）开始;（BB）结束;（S101）通过使用PRISM模型处理观测气候数据来创建高分辨率网格型气候观测数据;（S102）通过使用高分辨率计算观测气候值 网格型气候观测数据;（S103）采用客观分析方法，通过处理当地气候模式中讨论的当前和未来气候数据，生成高分辨率网格型当前和未来气候数据以及未来气候资料;（S104）计算 使用生成的高分辨率网格型当前和未来气候数据模拟气候值;（S105）使用计算出的模型气候值产生当地气候模式未来气候情景的变化;（S106）将观测到的气候值与 生成的未来气候情景的变化;（S107）气候学地校正组合结果的每个变量
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公开(公告)号：KR101335078B1
公开(公告)日：2013-12-03
申请号：KR1020120107237
申请日：2012-09-26
Applicant: 공주대학교 산학협력단
CPC classification number: Y02A90/16 , G06F17/5009 , G01W1/00 , G01W2201/00 , G06F17/10
Abstract: A method for generating scenario data of high resolution grid on future climatic change according to the present invention comprises the steps of: generating observed climate data of high resolution grid by applying collected current climate data to an MK-PRISM model; calculating an observed climate value in a day by using the generated observed climate data of high resolution grid; generating current climate data of high resolution grid and future climate data by objectively analyzing the current climate data and future climate data simulated in a regional climate model; calculating a model climate value in a day by using the generated current climate data of high resolution grid; generating the variation of a future climate scenario in the regional climate model by using the calculated model climate value; combining the calculated observed climate value and the generated future climate scenario variation; and performing climatological correction by each variable of combined results. According to the present invention, the method is capable of resolving solving systematic errors and seasonal variations in a climatic change scenario data of low resolution simulated in the regional climate model and providing reliable information by generating future climatic change scenario data of high resolution grid in which climate properties are reflected according to the high resolution geographical information greater than in a range of 1 km. [Reference numerals] (AA) Start;(BB) End;(S101) Generating observed climate data of high resolution grid by using a PRISM model;(S102) Calculating observed climate data by using the observed climate data of high resolution grid;(S103) Generating current climate data and future climate data of high resolution grid by using the objective analysis of current climate data and future climate data discussed at a regional climate model;(S104) Calculating a model climate value by using the generated current climate data and future climate data of high resolution grid;(S105) Generating the variation amount of a future climate scenario of the regional climate model by using the calculated model climate value;(S106) Combining the observed climate value and the variation amount of the future climate scenario;(S107) Correcting each variable of the combined result climatologically
Abstract translation: 根据本发明的用于生成未来气候变化的高分辨率网格的场景数据的方法包括以下步骤：通过将收集的当前气候数据应用于MK-PRISM模型来产生高分辨率网格的观测气候数据; 通过使用生成的高分辨率网格观测气候数据计算一天观测到的气候值; 通过客观分析区域气候模式模拟的当前气候数据和未来气候数据，形成高分辨率电网和未来气候数据的当前气候数据; 通过使用高分辨率网格生成的当前气候数据计算一天的气候模式值; 通过使用计算的模型气候值，在区域气候模式中产生未来气候情景的变化; 将观测到的气候值与产生的未来气候情景变化相结合; 并通过组合结果的每个变量执行气候校正。 根据本发明，该方法能够解决区域气候模型模拟的低分辨率气候变化情景数据中的系统误差和季节变化，并通过生成高分辨率网格的未来气候变化情景数据提供可靠信息，其中 气候属性根据高分辨率地理信息反映，大于1公里的范围。 （附图标记）（AA）开始;（BB）结束;（S101）使用PRISM模型生成高分辨率网格观测气候数据;（S102）使用观测到的高分辨率网格气候数据计算观测气候数据;（ S103）通过对目前气候数据和区域气候模式中讨论的未来气候数据的客观分析，生成目前气候数据和高分辨率电网未来气候数据;（S104）利用现有的气候数据计算气候模型， 高分辨率电网的未来气候数据;（S105）利用计算出的模型气候值，生成区域气候模式未来气候情景的变化量;（S106）将观测到的气候值与未来气候情景的变化量相结合 ;（S107）在气候学上校正组合结果的每个变量
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