Decomposition of the large-scale atmospheric state driving downscaling: a perspective on dynamical downscaling for regional climate study
Decomposition of the large-scale atmospheric state driving downscaling: a perspective on dynamical downscaling for regional climate study
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驱动降尺度的大尺度大气状态分解：区域气候研究动态降尺度的视角
DOI：
10.1186/s40645-017-0159-0
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发表时间：
2018
影响因子：
3.9
通讯作者：
H. Tomita
中科院分区：
文献类型：
--
作者：
S. Nishizawa;S. Adachi;Y. Kajikawa;T. Yamaura;K. Ando;Ryuji Yoshida;H. Yashiro;H. Tomita
在本研究中，我们提供了一个动态降尺度的视角，包括多种降尺度方法的综合观点和更好地评估未来区域气候的策略。区域气候模拟通常是由全球气候模拟得到的大尺度大气状态驱动的。在不同的全局模拟中，我们结合状态的分解成分，如气候和微扰，对基于重构的大尺度状态进行了概念化。概念化提供了对以往研究的降尺度方法的全面看法。我们提出了一种缩小区域气候研究规模的策略，该策略基于覆盖更大范围的大尺度国家的可能性的概念，以解释由于模式误差而导致的全球未来预测的不确定性。此外，它还提取了分解组分对区域气候变化的个别影响，从而更好地了解变化的原因。我们演示了一个缩小尺度的实验，以突出同时考虑气候学和扰动的个别影响的重要性。
AbstractIn this study, we provide a perspective on dynamical downscaling that includes a comprehensive view of multiple downscaling methods and a strategy for achieving better assessment of future regional climates. A regional climate simulation is generally driven by a large-scale atmospheric state obtained by a global climate simulation. We conceptualize the large-scale state based on reconstruction by combining decomposed components of the states, such as climatology and perturbation, in different global simulations. The conceptualization provides a comprehensive view of the downscaling methods of previous studies. We propose a strategy for downscaling regional climate studies based on the concept of covering a wider range of possibilities of large-scale states to account for the uncertainty in global future predictions due to model errors. Furthermore, it also extracts the individual influences of the decomposed components on regional climate change, resulting in better understanding of the cause of the change. We demonstrate a downscaling experiment to highlight the importance of the simultaneous consideration of the individual influences of climatology and perturbation.
DOI：
10.2151/jmsj.2013-a02
发表时间：
2013-07
期刊：
Journal of the Meteorological Society of Japan. Ser. II
影响因子：
--
作者：
M. Blackburn;D. Williamson;K. Nakajima;W. Ohfuchi;Y. Takahashi;Y. Hayashi;H. Nakamura;M. Ishiwatari-M.-Ish
通讯作者：
M. Blackburn;D. Williamson;K. Nakajima;W. Ohfuchi;Y. Takahashi;Y. Hayashi;H. Nakamura;M. Ishiwatari-M.-Ish
影响因子：
4.4
作者：
Kawase, Hiroaki;Yoshikane, Takao;Inoue, Tomoshige
通讯作者：
Inoue, Tomoshige
影响因子：
6.4
作者：
Sato, Tomonori;Kimura, Fujio;Kitoh, Akio
通讯作者：
Kitoh, Akio