Author

Daisuke Hotta

MRI/JMA - Cited by 254 - Meteorology - Applied Mathematics
Title
Cited by
Year
Proactive QC: A fully flow-dependent quality control scheme based on EFSO
D Hotta, TC Chen, E Kalnay, Y Ota, T MiyoshiMonthly Weather Review 145 (8), 3331-3354, 2017201
27
2017
S4: An O2R/R2O infrastructure for optimizing satellite data utilization in NOAA numerical modeling systems: A step toward bridging the gap between research and operations
SA Boukabara, T Zhu, HL Tolman, S Lord, S Goodman, R Atlas, ...Bulletin of the American Meteorological Society 97 (12), 2359-2378, 2016201
18
2016
Accelerating assimilation development for new observing systems using EFSO
GY Lien, D Hotta, E Kalnay, T Miyoshi, TC ChenNonlinear Processes in Geophysics 25 (1), 129-143, 2018201
15
2018
EFSR: Ensemble forecast sensitivity to observation error covariance
D Hotta, E Kalnay, Y Ota, T MiyoshiMonthly Weather Review 145 (12), 50-5031, 2017201
15
2017
Proactive quality control based on ensemble forecast sensitivity to observations
D HottaUniversity of Maryland, College Park, 2014201
13
2014
Analysis and design of covariance inflation methods using inflation functions. Part 1: Theoretical framework
L Duc, K Saito, D HottaQuarterly Journal of the Royal Meteorological Society 146 (733), 3638-3660, 2020202
11
2020
Why does EnKF suffer from analysis overconfidence? An insight into exploiting the ever‐increasing volume of observations
D Hotta, Y OtaQuarterly Journal of the Royal Meteorological Society 147 (735), 125-1277, 2021202
8
2021
Introduction to JMA’s new Global Ensemble Prediction System
H Yamaguchi, D Hotta, T Kanehama, K Ochi, Y Ota, R Sekiguchi, ...CAS/JSC WGNE, Research Activities in Atmospheric and Oceanic Modelling 42, 6 …, 2018201
7
2018
A nestable, multigrid‐friendly grid on a sphere for global spectral models based on Clenshaw–Curtis quadrature
D Hotta, M UjiieQuarterly Journal of the Royal Meteorological Society 1 (71), 1382-1397, 2018201
4
2018
2
2020
Use of EFSO for online data assimilation quality monitoring and proactive quality control
TC Chen, E Kalnay, D HottaCAS/JSC WGNE Research Activities in Atmospheric and Oceanic Modelling, 9, 01701
2
2017
Ensemble forecast sensitivity to observations (EFSO) and proactive quality control
D Hotta, E Kalnay, Y Ota, T MiyoshiSecond Annual CICS-MD Science Meeting, 01301
2
2013
Statistical generation of SST perturbations with spatio‐temporally coherent growing patterns
D Hotta, Y OtaQuarterly Journal of the Royal Meteorological Society 45 (72), 660-673, 20920
1
2019
1
2019
LETKF Perturbations by Ensemble Transform in a Cloud Resolving Model
K Saito, L Duc, S Yokota, D Hotta, T Matsunobu99th American Meteorological Society Annual Meeting, 20920
1
2019
Analysis and design of covariance inflation methods using inflation functions. Part 2: adaptive inflation
L Duc, K Saito, D HottaQuarterly Journal of the Royal Meteorological Society 47 (737), 2375-2394, 20220
1
2021
An explanation for the diagonally predominant property of the positive symmetric ensemble transform matrix
L Duc, K Saito, D HottaJournal of the Meteorological Society of Japan. Ser. II 98 (2), 455-462, 2020202
1
2020
Forecast Sensitivity and Observation Impact (FSOI) Inter-comparison Experiment
R Mahajan, T Auligne, R Gelaro, R Langland, DN Groff, D HottaAGU Fall Meeting Abstracts 206, NG33A-860, 20620
1
2016