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Climate change: Daily peak temperature projections, daily data, RCP2.6 scenario, resolution 0.125°

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The database contains a time series of daily data on climate projections of the daily highest air temperature in the period 1981-2100 for the scenario of greenhouse gas emissions RCP2.6 above Slovenia in the correct grid, resolution 0.125°. For RCP2.6, simulations of two regional climate models are available. The simulations are the result of regional models of the EURO-CORDEX project. Their resolution is 0.11°. The data are corrected according to measurements in Slovenia in the period 1981-2010 (the so-called bias correction). Find out more about the EURO-CORDEX project through additional links. The data is in NetCDF format files, which are divided into 30-year periods due to their size. There are four files available for each model. Each 30-year period is marked with the year of the last year of the period. Model projection files have names that contain information about the name of the variable, models, projection time, version, etc. separated by underscores.The components of the names are: variable name (tasmax: daily maximum air temperature), model resolution (12 km:0.125°), the name of the global climate model that gave marginal conditions to the regional, abbreviated greenhouse gas emissions scenario (rcp26: RCP2.6), ensemble parameters (e.g. r1i1p1), regional climate model name, projection version, projection time step (day: 1 day) and start and end dates of the projection (as YYYYMMDD where YYYY is year, MM month and DD day). The model results represent the physically possible states of the climate system in the future relative to the day, which in this case is the path of greenhouse gas concentration. As greenhouse gas concentrations cannot be predicted, the International Panel on Climate Change (IPCC) in its fifth report from 2014 produced four plausible scenarios for it, given the socio-economic evolution of humanity in the future. Since model results differ from one another and each of them represents a possible state of the climate, their results must be statistically processed.The differences between them form the basis for assessing the uncertainty of the projections. A summary of analyses of climate change by the end of the century in Slovenia can be found among additional links. There is also the first synthesis report on climate change in Slovenia, which contains a more detailed description of the methodology and results of climate projections. About climate projections are discussed in Chapter 1, on regional climate models, Chapter 3.2, and on the correction of errors or bias of models Chapter 4.3. One of the options for working with NetCDF files (extraction, aggregation, etc.) is the CDO program. Reading and statistical processing on NetCDF files are also possible with the statistical package R, especially its ncdf4 and raster packages. Links to CDO and R programs can be found in additional links. The database contains a time series of daily data on climate projections of the daily highest air temperature in the period 1981-2100 for the scenario of greenhouse gas emissions RCP2.6 above Slovenia in the correct grid, resolution 0.125°. For RCP2.6, simulations of two regional climate models are available. The simulations are the result of regional models of the EURO-CORDEX project. Their resolution is 0.11°. The data are corrected according to measurements in Slovenia in the period 1981-2010 (the so-called bias correction).Find out more about the EURO-CORDEX project through additional links. The data is in NetCDF format files, which are divided into 30-year periods due to their size. There are four files available for each model. Each 30-year period is marked with the year of the last year of the period. Model projection files have names that contain information about the name of the variable, models, projection time, version, etc. separated by underscores. The components of the names are: variable name (tasmax: daily maximum air temperature), model resolution (12 km: 0.125°), the name of the global climate model that gave marginal conditions to the regional, abbreviated greenhouse gas emissions scenario (rcp26:RCP2.6), ensemble parameters (e.g. r1i1p1), regional climate model name, projection version, projection time step (day: 1 day) and start and end dates of the projection (as YYYYMMDD where YYYY is year, MM month and DD day). The model results represent the physically possible states of the climate system in the future relative to the day, which in this case is the path of greenhouse gas concentration.As greenhouse gas concentrations cannot be predicted, the International Panel on Climate Change (IPCC) in its fifth report from 2014 produced four plausible scenarios for it, given the socio-economic evolution of humanity in the future. Since model results differ from one another and each of them represents a possible state of the climate, their results must be statistically processed. The differences between them form the basis for assessing the uncertainty of the projections. A summary of analyses of climate change by the end of the century in Slovenia can be found among additional links. There is also the first synthesis report on climate change in Slovenia, which contains a more detailed description of the methodology and results of climate projections. About climate projections are discussed in Chapter 1, on regional climate models, Chapter 3.2, and on the correction of errors or bias of models Chapter 4.3. One of the options for working with NetCDF files (extraction, aggregation, etc.) is the CDO program. Reading and statistical processing on NetCDF files are also possible with the statistical package R, especially its ncdf4 and raster packages. Links to CDO and R programs can be found in additional links.

本数据集包含1981年至2100年期间,针对斯洛文尼亚区域、采用标准网格(分辨率0.125°)、基于温室气体排放情景典型浓度路径2.6(RCP2.6)的逐日最高气温气候预估时序数据。针对RCP2.6情景,本数据集提供两套区域气候模式的模拟结果。 该模拟结果源自欧洲区域气候降尺度计划(EURO-CORDEX)的区域模式。其模式分辨率为0.11°。所有数据已基于斯洛文尼亚1981年至2010年的实测数据进行校正(即所谓的偏差校正)。可通过附加链接了解更多关于EURO-CORDEX计划的详情。 数据以网络通用数据格式(NetCDF)文件存储,因数据量较大,按30年时段进行拆分。每套模式对应4个数据文件。每个30年时段以该时段的最后一年作为标识。 模式预估文件的文件名以下划线分隔各字段,包含变量名称、模式信息、预估时段、版本号等内容。文件名的组成字段如下:变量名(tasmax:逐日最高气温)、模式分辨率(12千米:0.125°)、为区域模式提供边界条件的全球气候模式名称、简写的温室气体排放情景(rcp26:RCP2.6)、集合模拟参数(例如r1i1p1)、区域气候模式名称、预估版本号、预估时间步长(day:1天)以及预估时段的起止日期(格式为YYYYMMDD,其中YYYY代表年份、MM代表月份、DD代表日期)。 模式结果表征了未来气候系统在物理层面上的可能状态,其依据为温室气体浓度的变化路径。由于温室气体浓度无法精准预测,政府间气候变化专门委员会(IPCC)在2014年发布的第五次评估报告中,结合未来人类社会经济发展路径,提出了四种合理的排放情景。 由于不同模式的模拟结果存在差异,且每套结果仅代表气候系统的一种可能状态,因此需对模拟结果进行统计处理。各结果之间的差异是评估预估结果不确定性的核心依据。 关于斯洛文尼亚到本世纪末的气候变化分析总结,可通过附加链接查阅。 另有斯洛文尼亚首部气候变化综合报告,其中详细阐述了气候预估的方法学与研究结果。该报告第1章讨论气候预估相关内容,第3.2章涉及区域气候模式,第4.3章则讲解模式误差/偏差校正方法。 处理NetCDF文件(数据提取、聚合等)的工具之一为气候数据操作工具(CDO)。此外,也可借助统计软件R及其ncdf4、raster扩展包完成NetCDF文件的读取与统计处理。CDO与R软件的相关链接可通过附加链接获取。 本数据集包含1981年至2100年期间,针对斯洛文尼亚区域、采用标准网格(分辨率0.125°)、基于温室气体排放情景典型浓度路径2.6(RCP2.6)的逐日最高气温气候预估时序数据。针对RCP2.6情景,本数据集提供两套区域气候模式的模拟结果。 该模拟结果源自欧洲区域气候降尺度计划(EURO-CORDEX)的区域模式。其模式分辨率为0.11°。所有数据已基于斯洛文尼亚1981年至2010年的实测数据进行校正(即所谓的偏差校正)。可通过附加链接了解更多关于EURO-CORDEX计划的详情。 数据以网络通用数据格式(NetCDF)文件存储,因数据量较大,按30年时段进行拆分。每套模式对应4个数据文件。每个30年时段以该时段的最后一年作为标识。模式预估文件的文件名以下划线分隔各字段,包含变量名称、模式信息、预估时段、版本号等内容。文件名的组成字段如下:变量名(tasmax:逐日最高气温)、模式分辨率(12千米:0.125°)、为区域模式提供边界条件的全球气候模式名称、简写的温室气体排放情景(rcp26:RCP2.6)、集合模拟参数(例如r1i1p1)、区域气候模式名称、预估版本号、预估时间步长(day:1天)以及预估时段的起止日期(格式为YYYYMMDD,其中YYYY代表年份、MM代表月份、DD代表日期)。 模式结果表征了未来气候系统在物理层面上的可能状态,其依据为温室气体浓度的变化路径。由于温室气体浓度无法精准预测,政府间气候变化专门委员会(IPCC)在2014年发布的第五次评估报告中,结合未来人类社会经济发展路径,提出了四种合理的排放情景。 由于不同模式的模拟结果存在差异,且每套结果仅代表气候系统的一种可能状态,因此需对模拟结果进行统计处理。各结果之间的差异是评估预估结果不确定性的核心依据。关于斯洛文尼亚到本世纪末的气候变化分析总结,可通过附加链接查阅。另有斯洛文尼亚首部气候变化综合报告,其中详细阐述了气候预估的方法学与研究结果。该报告第1章讨论气候预估相关内容,第3.2章涉及区域气候模式,第4.3章则讲解模式误差/偏差校正方法。 处理NetCDF文件(数据提取、聚合等)的工具之一为气候数据操作工具(CDO)。 读取并统计处理NetCDF文件也可借助统计软件R,尤其是其ncdf4与raster扩展包。 CDO与R软件的相关链接可通过附加链接获取。

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