Keiichi Kondo

Atmospheric Science · 2014

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Atmospheric Science — 7 citations into it; #3,584 of 4,804 by trust here, #4,565 by citations
• Global and Planetary Change — 7 citations into it; #7,355 of 10,225 by trust here, #9,714 by citations

Whom Keiichi Kondo trusts overall

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

1. David W. Scott
2. Takemasa Miyoshi
3. Thomas M. Hamill
4. Brian R. Hunt
5. P. Houtekamer
6. S. Yamane
7. Ji-Sun Kang

Who trusts Keiichi Kondo overall

1. Martin Leutbecher

Papers from Keiichi Kondo's perspective

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

1. Distance-dependent filtering of background error covariance estimates in an ensemble Kalman filter
2. Efficient data assimilation for spatiotemporal chaos: A local ensemble transform Kalman filter
3. Local Ensemble Transform Kalman Filtering with an AGCM at a T159/L48 Resolution
4. Atmospheric Data Assimilation with an Ensemble Kalman Filter: Results with Real Observations
5. 10-km Mesh Meso-scale Resolving Simulations of the Global Atmosphere on the Earth Simulator - Preliminary Outcomes of AFES (AGCM for the Earth Simulator) -
6. “Variable localization” in an ensemble Kalman filter: Application to the carbon cycle data assimilation
7. On optimal and data based histograms
8. An Ensemble Adjustment Kalman Filter for Data Assimilation
9. Ensemble Data Assimilation without Perturbed Observations
10. The Ensemble Kalman Filter: theoretical formulation and practical implementation

Their papers

• The 10,240‐member ensemble Kalman filtering with an intermediate AGCM (2014) — 94 citations