Development of an ensemble Kalman filter data assimilation system for the Venusian atmosphere

Norihiko Sugimoto, Akira Yamazaki, Toru Kouyama, Hiroki Kashimura, Takeshi Enomoto, Masahiro Takagi

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

The size and mass of Venus is similar to those of the Earth; however, its atmospheric dynamics are considerably different and they are poorly understood due to limited observations and computational difficulties. Here, we developed a data assimilation system based on the local ensemble transform Kalman filter (LETKF) for a Venusian Atmospheric GCM for the Earth Simulator (VAFES), to make full use of the observational data. To examine the validity of the system, two datasets were assimilated separately into the VAFES forecasts forced with solar heating that excludes the diurnal component Qz; one was created from a VAFES run forced with solar heating that includes the diurnal component Qt, whereas the other was based on observations made by the Venus Monitoring Camera (VMC) onboard the Venus Express. The VAFES-LETKF system rapidly reduced the errors between the analysis and forecasts. In addition, the VAFES-LETKF system successfully reproduced the thermal tide excited by the diurnal component of solar heating, even though the second datasets only included horizontal winds at a single altitude on the dayside with a long interval of approximately one Earth day. This advanced system could be useful in the analysis of future datasets from the Venus Climate Orbiter 'Akatsuki'.

Original languageEnglish
Article number9321
JournalScientific Reports
Volume7
Issue number1
DOIs
Publication statusPublished - 2017 Dec 1

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Kalman filter
data assimilation
atmospheric general circulation model
simulator
Venus
atmosphere
transform
atmospheric dynamics
tide
climate
monitoring
solar heating

ASJC Scopus subject areas

  • General

Cite this

Development of an ensemble Kalman filter data assimilation system for the Venusian atmosphere. / Sugimoto, Norihiko; Yamazaki, Akira; Kouyama, Toru; Kashimura, Hiroki; Enomoto, Takeshi; Takagi, Masahiro.

In: Scientific Reports, Vol. 7, No. 1, 9321, 01.12.2017.

Research output: Contribution to journalArticle

Sugimoto, Norihiko ; Yamazaki, Akira ; Kouyama, Toru ; Kashimura, Hiroki ; Enomoto, Takeshi ; Takagi, Masahiro. / Development of an ensemble Kalman filter data assimilation system for the Venusian atmosphere. In: Scientific Reports. 2017 ; Vol. 7, No. 1.
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