Reconsidering the Quality and Utility of Downscaling
Reconsidering the Quality and Utility of Downscaling
复制标题
重新考虑缩小规模的质量和效用
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
J. Christensen
中科院分区：
文献类型：
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作者：
I. Takayabu;H. Kanamaru;K. Dairaku;R. Benestad;H. Storch;J. Christensen
动态降尺度（DDS）是使用区域气候模式（RCMs）与全球大气状态作为输入进行的，但在如何定义和估计DDS获得的各种气候变量的可分辨尺度上，研究人员之间没有共识。RCM不确定性的来源，包括内部模式和模式间的变异，已进行集合模拟和模式相互比较，有时有争议的假设下，模式偏差是独立的气候状态进行了评估。与低分辨率的全球气候模拟相比，DDS可以在几个方面增加价值。例如，由于考虑到高分辨率的地形数据，区域气候模型通常可以捕获中尺度现象，并可以更好地代表气候动态。另一种降尺度方法，经验统计降尺度（ESD），是DDS的补充，因为它基于不同的哲学（即，信息来源）和一组基本不同的假设。应鼓励模型开发者、模型使用者和降尺度执行者、降尺度数据使用者以及决策者之间进行更多的合作和交流。通讯作者：Izuru Takayabu，气象研究所大气环境与应用气象研究部，Nagamine 1-1，Tsukuba，茨木305-0052，Japan电子邮件：takayabu@mri-jma.go.jp ©2016，Meteorological Society of Japan Journal of the Meteorological Society of Japan Vol. 94 A 32
Dynamical downscaling (DDS) is performed using regional climate models (RCMs) with global atmospheric states as the input, but there is no consensus among researchers on how to define and estimate the resolvable scale of the various climatic variables obtained by DDS. Sources of RCM uncertainties, including both internal model and intermodel variability, have been assessed by performing ensemble simulations and model intercomparisons, sometimes under the controversial assumption that model bias is independent of the climatic state. Compared with low-resolution global climate simulations, DDS can add value in several ways. For example, because they consider high-resolution topographic data, RCMs can often capture mesoscale phenomena and can better represent climate dynamics. Another downscaling method, empirical statistical downscaling (ESD), is complementary to DDS because it is based on a different philosophy (i.e., sources of information) and on a mostly different set of assumptions. More collaboration and communication should be encouraged among those who develop models, those who use models and perform downscaling, those who use downscaling data, and those who make decisions Corresponding author: Izuru Takayabu, Atmospheric Environment and Applied Meteorology Research Department, Meteorological Research Institute, Nagamine 1-1, Tsukuba, Ibaraki 305-0052, Japan E-mail: takayabu@mri-jma.go.jp ©2016, Meteorological Society of Japan Journal of the Meteorological Society of Japan Vol. 94A 32
影响因子：
8
作者：
R. Weisse;H. Storch;U. Callies;A. Chrastansky;F. Feser;I. Grabemann;H. Günther;A. Pluess;T. Stoye;J. Tellkamp;J. Winterfeldt;K. Woth
通讯作者：
R. Weisse;H. Storch;U. Callies;A. Chrastansky;F. Feser;I. Grabemann;H. Günther;A. Pluess;T. Stoye;J. Tellkamp;J. Winterfeldt;K. Woth