Takemasa Miyoshi

Research interests

Publications

• A Review of Innovation-Based Methods to Jointly Estimate Model and Observation Error Covariance Matrices in Ensemble Data Assimilation

  Monthly Weather Review · 2020 · 10.1175/mwr-d-19-0240.1

• Assimilating All-Sky Himawari-8 Satellite Infrared Radiances: A Case of Typhoon Soudelor (2015)

  Monthly Weather Review · 2018 · 10.1175/mwr-d-16-0357.1

• Assimilating atmospheric observations into the ocean using strongly coupled ensemble data assimilation

  Geophysical Research Letters · 2016 · 10.1002/2015gl067238

• “Big Data Assimilation” Revolutionizing Severe Weather Prediction

  Bulletin of the American Meteorological Society · 2016 · 10.1175/bams-d-15-00144.1

• Modeling Sustainability: Population, Inequality, Consumption, and Bidirectional Coupling of the Earth and Human Systems

  National Science Review · 2016 · 10.1093/nsr/nww081

• The 10,240‐member ensemble Kalman filtering with an intermediate AGCM

  Geophysical Research Letters · 2014 · 10.1002/2014gl060863

• The Non-hydrostatic Icosahedral Atmospheric Model: description and development

  Progress in Earth and Planetary Science · 2014 · https://doi.org/10.1186/s40645-014-0018-1

• Estimating Model Parameters with Ensemble-Based Data Assimilation: A Review

  Journal of the Meteorological Society of Japan Ser II · 2013 · 10.2151/jmsj.2013-201

• Effective assimilation of global precipitation: simulation experiments

  Tellus A Dynamic Meteorology and Oceanography · 2013 · 10.3402/tellusa.v65i0.19915

• Estimation of surface carbon fluxes with an advanced data assimilation methodology

  Journal of Geophysical Research Atmospheres · 2012 · 10.1029/2012jd018259

• The Local Ensemble Transform Kalman Filter with the Weather Research and Forecasting Model: Experiments with Real Observations

  Pure and Applied Geophysics · 2011 · 10.1007/s00024-011-0373-4

• “Variable localization” in an ensemble Kalman filter: Application to the carbon cycle data assimilation

  Journal of Geophysical Research Atmospheres · 2011 · 10.1029/2010jd014673

• Data assimilation of CALIPSO aerosol observations

  Atmospheric chemistry and physics · 2010 · 10.5194/acp-10-39-2010

• The Gaussian Approach to Adaptive Covariance Inflation and Its Implementation with the Local Ensemble Transform Kalman Filter

  Monthly Weather Review · 2010 · https://doi.org/10.1175/2010mwr3570.1

• Ensemble Kalman Filter and 4D-Var Intercomparison with the Japanese Operational Global Analysis and Prediction System

  Monthly Weather Review · 2010 · 10.1175/2010mwr3209.1

• Applying an ensemble Kalman filter to the assimilation of AERONET observations in a global aerosol transport model

  Atmospheric chemistry and physics · 2010 · 10.5194/acp-10-2561-2010

• Balance and Ensemble Kalman Filter Localization Techniques

  Monthly Weather Review · 2010 · 10.1175/2010mwr3328.1

• Simultaneous estimation of covariance inflation and observation errors within an ensemble Kalman filter

  Quarterly Journal of the Royal Meteorological Society · 2009 · https://doi.org/10.1002/qj.371

• Local Ensemble Transform Kalman Filtering with an AGCM at a T159/L48 Resolution

  Monthly Weather Review · 2007 · https://doi.org/10.1175/2007mwr1873.1

• Localizing the Error Covariance by Physical Distances within a Local Ensemble Transform Kalman Filter (LETKF)

  SOLA · 2007 · 10.2151/sola.2007-023

• 4-D-Var or ensemble Kalman filter?

  Tellus A Dynamic Meteorology and Oceanography · 2007 · https://doi.org/10.1111/j.1600-0870.2007.00261.x

• Estimating and Correcting Global Weather Model Error

  Monthly Weather Review · 2007 · 10.1175/mwr3289.1

Current projects

No projects listed.