Evaluation of new radio occultation observations among small satellites at Venus by data assimilation
Authors:
- Yukiko FujisawaYFYukiko Fujisawa
- Norihiko SugimotoNSNorihiko Sugimoto
- Chi O. AoCAChi O. Ao
- Asako HosonoAHAsako Hosono
- Hiroki AndoHAHiroki Ando
- Masahiro TakagiMTMasahiro Takagi
- Itziar Garate-LopezIGItziar Garate-Lopez
- Sebastien LebonnoisSLSebastien Lebonnois
Open Access
Abstract
No abstract availableKeywords
All Related Versions
Funding Information
- Ministry of Education, Culture, Sports, Science and Technology
- Japan Science and Technology Agency (JP19H01971, JP19H05605, JP20K04064)
- National Aeronautics and Space Administration
- Gore Street Capital
- Japan Society for the Promotion of Science
This publication has 38 references indexed in Scilit:
- Ensemble Kalman filter data assimilation of Thermal Emission Spectrometer temperature retrievals into a Mars GCMJournal of Geophysical Research, 2012
- Characteristic features in Venus’ nightside cloud-top temperature obtained by Akatsuki/LIRIcarus, 2012
- Longwave Infrared Camera onboard the Venus Climate OrbiterAdvances In Space Research, 2007
- The AFES-LETKF Experimental Ensemble Reanalysis: ALERASOLA, 2007
- A local ensemble Kalman filter for atmospheric data assimilationTellus, 2004
- Observing Earth's atmosphere with radio occultation measurements using the Global Positioning SystemJournal of Geophysical Research: Atmospheres, 1997
- Sequential data assimilation with a nonlinear quasi‐geostrophic model using Monte Carlo methods to forecast error statisticsJournal of Geophysical Research: Oceans, 1994
- Radiative forcing of the Venus mesosphereIcarus, 1986
- Models of the structure of the atmosphere of Venus from the surface to 100 kilometers altitudeAdvances In Space Research, 1985
- A New Approach to Linear Filtering and Prediction ProblemsJournal of Basic Engineering, 1960