Decomposition of the large-scale atmospheric state driving downscaling: a perspective on dynamical downscaling for regional climate study

• DOI: 10.1186/s40645-017-0159-0
• Publication Date: 2018-01-08T09:48:37Z
• Authors: Seiya Nishizawa; Sachiho A. Adachi; Yoshiyuki Kajikawa; Tsuyoshi Yamaura; Kazuto Ando; Ryuji Yoshida; Hisashi Yashiro; Hirofumi Tomita
• Keywords: G; Regional climate; QE1-996.5; 13. Climate action; Uncertainty; Geography. Anthropology. Recreation; Geology; Dynamical downscaling; Model errors; 01 natural sciences; 0105 earth and related environmental sciences

In this study, we provide a perspective on dynamical downscaling that includes comprehensive view of multiple methods and strategy for achieving better assessment future regional climates. A climate simulation is generally driven by large-scale atmospheric state obtained global simulation. We conceptualize the based reconstruction combining decomposed components states, such as climatology perturbation, in different simulations. The conceptualization provides previous studies. propose studies concept covering wider range possibilities states to account uncertainty predictions due model errors. Furthermore, it also extracts individual influences change, resulting understanding cause change. demonstrate experiment highlight importance simultaneous consideration perturbation.