Takemasa Miyoshi

Overview

Best Publications

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

  Masaki Satoh;Masaki Satoh;Hirofumi Tomita;Hisashi Yashiro;Hiroaki Miura;Hiroaki Miura

  411
  Citations

• 4-D-Var or ensemble Kalman filter?

  Eufenia Kalnay;Hong Li;Takemasa Miyoshi;Shu Chih Yang

  397
  Citations

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

  Takemasa Miyoshi;Shozo Yamane

  396
  Citations

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

  Takemasa Miyoshi

  366
  Citations

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

  Hong Li;Eugenia Kalnay;Takemasa Miyoshi

  360
  Citations

• Balance and Ensemble Kalman Filter Localization Techniques

  Steven J. Greybush;Eugenia Kalnay;Takemasa Miyoshi;Kayo Ide

  299
  Citations

• Data assimilation of CALIPSO aerosol observations

  T. T. Sekiyama;T. Y. Tanaka;A. Shimizu;T. Miyoshi;T. Miyoshi

  221
  Citations

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

  Safa Motesharrei;Jorge Rivas;Eugenia Kalnay;Ghassem R. Asrar

  218
  Citations

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

  Takumi Honda;Takemasa Miyoshi;Guo-Yuan Lien;Seiya Nishizawa

  195
  Citations

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

  Takemasa Miyoshi;Yoshiaki Sato;Takashi Kadowaki

  179
  Citations

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

  Ji-Sun Kang;Eugenia Kalnay;Junjie Liu;Inez Fung

  164
  Citations

• Estimating and Correcting Global Weather Model Error

  Christopher M. Danforth;Eugenia Kalnay;Takemasa Miyoshi

  155
  Citations

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

  Juan Jose Ruiz;Manuel Arturo Pulido;Takemasa Miyoshi

  149
  Citations

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

  Takemasa Miyoshi;Shozo Yamane;Shozo Yamane;Takeshi Enomoto

  147
  Citations

• A review of innovation-based methods to jointly estimate model and observation error covariance matrices in ensemble data assimilation

  Pierre Tandeo;Pierre Ailliot;Marc Bocquet;Alberto Carrassi;Alberto Carrassi

  124
  Citations

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

  N. A.J. Schutgens;T. Miyoshi;Toshihiko Takemura;T. Nakajima

  122
  Citations

• “Big Data Assimilation” Revolutionizing Severe Weather Prediction

  Takemasa Miyoshi;Masaru Kunii;Juan Ruiz;Guo-Yuan Lien

  121
  Citations

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

  Takemasa Miyoshi;Masaru Kunii

  118
  Citations

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

  Travis C. Sluka;Stephen G. Penny;Eugenia Kalnay;Takemasa Miyoshi

  117
  Citations

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

  Takemasa Miyoshi;Takemasa Miyoshi;Keiichi Kondo;Toshiyuki Imamura

  112
  Citations

• Accounting for Model Errors in Ensemble Data Assimilation

  Hong Li;Eugenia Kalnay;Takemasa Miyoshi;Christopher M. Danforth

  110
  Citations

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

  Ji-Sun Kang;Eugenia Kalnay;Takemasa Miyoshi;Junjie Liu

  105
  Citations

• A simpler formulation of forecast sensitivity to observations: application to ensemble Kalman filters

  Eugenia Kalnay;Yoichiro Ota;Takemasa Miyoshi;Junjie Liu

  101
  Citations

• Effective assimilation of global precipitation: simulation experiments

  Guo-Yuan Lien;Eugenia Kalnay;Takemasa Miyoshi

  91
  Citations

• Ensemble-based observation impact estimates using the NCEP GFS

  Yoichiro Ota;John C. Derber;Eugenia Kalnay;Takemasa Miyoshi

  89
  Citations