Yoichiro Ota

Atmospheric Science · 2017

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yoichiro Ota trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Takemasa Miyoshi
  2. Masaki Satoh
  3. Hirofumi Tomita
  4. Brian R. Hunt
  5. Niels Bormann
  6. Fuqing Zhang
  7. Jeffrey L. Anderson
  8. Elana J. Fertig
  9. G. Desroziers

Papers from Yoichiro Ota's perspective

Ordered by how strongly the researchers Yoichiro Ota trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Efficient data assimilation for spatiotemporal chaos: A local ensemble transform Kalman filter
  2. Local Ensemble Transform Kalman Filtering with an AGCM at a T159/L48 Resolution
  3. Nonhydrostatic icosahedral atmospheric model (NICAM) for global cloud resolving simulations (Journal of Computational Physics)
  4. The Non-hydrostatic Icosahedral Atmospheric Model: description and development (Progress in Earth and Planetary Science)
  5. Diagnosis of observation, background and analysis‐error statistics in observation space
  6. Impacts of Initial Estimate and Observation Availability on Convective-Scale Data Assimilation with an Ensemble Kalman Filter
  7. A comparative study of 4D-VAR and a 4D Ensemble Kalman Filter: perfect model simulations with Lorenz-96
  8. Estimates of spatial and interchannel observation‐error characteristics for current sounder radiances for numerical weather prediction. I: Methods and application to ATOVS data
  9. A new dynamical framework of nonhydrostatic global model using the icosahedral grid
  10. The Gaussian Approach to Adaptive Covariance Inflation and Its Implementation with the Local Ensemble Transform Kalman Filter

Their papers