Decomposition of the large-scale atmospheric state driving downscaling: a perspective on dynamical downscaling for regional climate study
Abstract In 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 stat...
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doaj-2975fc52568842358670f38e5b4c43212020-11-25T00:55:43ZengSpringerOpenProgress in Earth and Planetary Science2197-42842018-01-015111310.1186/s40645-017-0159-0Decomposition of the large-scale atmospheric state driving downscaling: a perspective on dynamical downscaling for regional climate studySeiya Nishizawa0Sachiho A. Adachi1Yoshiyuki Kajikawa2Tsuyoshi Yamaura3Kazuto Ando4Ryuji Yoshida5Hisashi Yashiro6Hirofumi Tomita7RIKEN Advanced Institute for Computational ScienceRIKEN Advanced Institute for Computational ScienceRIKEN Advanced Institute for Computational ScienceRIKEN Advanced Institute for Computational ScienceRIKEN Advanced Institute for Computational ScienceRIKEN Advanced Institute for Computational ScienceRIKEN Advanced Institute for Computational ScienceRIKEN Advanced Institute for Computational ScienceAbstract In 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.http://link.springer.com/article/10.1186/s40645-017-0159-0Dynamical downscalingRegional climateUncertaintyModel errors |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Seiya Nishizawa Sachiho A. Adachi Yoshiyuki Kajikawa Tsuyoshi Yamaura Kazuto Ando Ryuji Yoshida Hisashi Yashiro Hirofumi Tomita |
spellingShingle |
Seiya Nishizawa Sachiho A. Adachi Yoshiyuki Kajikawa Tsuyoshi Yamaura Kazuto Ando Ryuji Yoshida Hisashi Yashiro Hirofumi Tomita Decomposition of the large-scale atmospheric state driving downscaling: a perspective on dynamical downscaling for regional climate study Progress in Earth and Planetary Science Dynamical downscaling Regional climate Uncertainty Model errors |
author_facet |
Seiya Nishizawa Sachiho A. Adachi Yoshiyuki Kajikawa Tsuyoshi Yamaura Kazuto Ando Ryuji Yoshida Hisashi Yashiro Hirofumi Tomita |
author_sort |
Seiya Nishizawa |
title |
Decomposition of the large-scale atmospheric state driving downscaling: a perspective on dynamical downscaling for regional climate study |
title_short |
Decomposition of the large-scale atmospheric state driving downscaling: a perspective on dynamical downscaling for regional climate study |
title_full |
Decomposition of the large-scale atmospheric state driving downscaling: a perspective on dynamical downscaling for regional climate study |
title_fullStr |
Decomposition of the large-scale atmospheric state driving downscaling: a perspective on dynamical downscaling for regional climate study |
title_full_unstemmed |
Decomposition of the large-scale atmospheric state driving downscaling: a perspective on dynamical downscaling for regional climate study |
title_sort |
decomposition of the large-scale atmospheric state driving downscaling: a perspective on dynamical downscaling for regional climate study |
publisher |
SpringerOpen |
series |
Progress in Earth and Planetary Science |
issn |
2197-4284 |
publishDate |
2018-01-01 |
description |
Abstract In 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. |
topic |
Dynamical downscaling Regional climate Uncertainty Model errors |
url |
http://link.springer.com/article/10.1186/s40645-017-0159-0 |
work_keys_str_mv |
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