A02-6 Comprehensive data assimilation for optimal representation of atmospheric and oceanic environment with discontinuities
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A02-6
Principal Investigator
ENOMOTO Takeshi
Kyoto U.
Co-Investigators
NOGUCHI Shunsuke
Kyushu U.
HAYASHIDA Hakase
JAMSTEC
ITO Kosuke
Kyoto U.
FUJII Yosuke
Meteorological Research Institute
ISHIBASHI Toshiyuki
Meteorological Research Institute
Postdoctoral Researcher
Research Collaborators
OHISHI Shun
RIKEN, Co-I of A03-7
TSUJINO Satoki
Meteorological Research Institute
YAMAZAKI Akira
JAMSTEC, Co-I of A03-8
YOSHIDA Akira
Kyoto U.
USUI Norihisa
Meteorological Research Institute, PI of A03-7
ISHIKAWA Ichiro
Meteorological Research Institute
HIRAHARA Shoji
Meteorological Research Institute
KOBAYASHI Chiaki
Meteorological Research Institute
SAKAMOTO Kei
Japan Meteorological Agency
YAGI Koji
Japan Meteorological Agency
HASEGAWA Takuya
Japan Meteorological Agency
KOIZUMI Ko
Japan Meteorological Agency
KOSAKA Yuki
Japan Meteorological Agency
YOSHIDA Takuma
Japan Meteorological Agency
KIDO Shoichiro
JAMSTEC, Co-I of A01-1
Our group focuses on data assimilation (DA), which effectively combines observations and simulations. Our goal is to reproduce realistic and detailed atmospheric, oceanic, and biogeochemical environments for our research project. However, existing DA techniques fall short in capturing discontinuities at oceanic and atmospheric fronts, as well as in the interfaces like the sea surface and tropopause. Nonlinear phenomena, such as eddy detachment and intense convection pose additional challenges for proper assimilation. Moreover, coupled DA between the ocean and atmosphere, considering different time scales and various physical, chemical, and biological processes remains largely unexplored. The ocean surrounding Japan provides an ideal setting for our research due to active air-sea-biogeochemical coupling, discontinuities and nonlinearities. Motivated by this context, we aim to advance DA by improving techniques, evaluating observation values, designing effective observing systems, and obtaining insight into vertical coupling among ocean subsurface, troposphere, and stratosphere and into remote effects with DA methodologies.