Le Duc - Concepedia

Author

Le Duc

Meteorological Research Institute ORCID

Also Known As

Duc, Le, L Duc, LE THANH DUC, Le DUC, Le Duc, Olivier Le Duc

Publications

392

Citations

H-Index

Concepts

All Affiliations

Meteorological Research Institute Japan Meteorological Agency The University of Tokyo Japan Agency for Marine-Earth Science and Technology Kobe University

About

Le Duc is an author at Meteorological Research Institute specializing in engineering, forecasting, and earth science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	7	7	262
2	Data Science	3	3	140
3	Business	1	1	20
4	Management	1	1	16
5	Computer Science	1	1	64

Le Duc

Publications

317

Citations

H-Index

Page 1

	Year	Citations
Spatial-temporal fractions verification for high-resolution ensemble forecasts Le Duc, Kazuo Saito, Hiromu Seko Tellus A Dynamic Meteorology and Oceanography Forecasting MethodologyHigh ResolutionEngineeringWeather ForecastingSpatial-temporal Fractions Verification	2013	107
A signal-processing-based interpretation of the Nash–Sutcliffe efficiency Le Duc, Yohei Sawada Hydrology and earth system sciences Nash–sutcliffe EfficiencyComputational EfficiencyStatistical Signal ProcessingHydrological ScienceEngineering	2023	64
Forecasts of the July 2020 Kyushu Heavy Rain Using a 1000-Member Ensemble Kalman Filter Le Duc, Takuya Kawabata, Kazuo Saito, SOLA HydrometeorologyMeteorologyEnsemble ForecastsHydrological PredictionEarth Science	2021	27
Ensemble Kalman Filter data assimilation and storm surge experiments of tropical cyclone Nargis Le Duc, Tohru Kuroda, Kazuo Saito, Tellus A Dynamic Meteorology and Oceanography	2015	20
Analysis and design of covariance inflation methods using inflation functions. Part 1: Theoretical framework Le Duc, Kazuo Saito, Daisuke Hotta Quarterly Journal of the Royal Meteorological Society EconomicsParameter EstimationEngineeringCovariance Inflation MethodsRobust Modeling	2020	20
Ultra-High-Resolution Numerical Weather Prediction with a Large Domain Using the K Computer: A Case Study of the Izu Oshima Heavy Rainfall Event on October 15-16, 2013 Tsutao Oizumi, Kazuo Saito, Junshi Ito, Journal of the Meteorological Society of Japan Ser II Storm SurgeEngineeringWeather ForecastingLarge DomainEarth Science	2017	17
Verification in the presence of observation errors: Bayesian point of view Le Duc, Kazuo Saito Quarterly Journal of the Royal Meteorological Society Bayesian StatisticBayesian Decision TheoryEngineeringObservation ErrorsVerification	2018	16
Ultra-high Resolution Numerical Weather Prediction with a Large Domain Using the K Computer. Part 2: The Case of the Hiroshima Heavy Rainfall Event on August 2014 and Dependency of Simulated Convective Cells on Model Resolutions Tsutao Oizumi, Kazuo Saito, Le Duc, Journal of the Meteorological Society of Japan Ser II	2020	14
Ensemble flood simulation for a small dam catchment in Japan using nonhydrostatic model rainfalls – Part 2: Flood forecasting using 1600-member 4D-EnVar-predicted rainfalls Kenichiro Kobayashi, Le Duc Natural hazards and earth system sciences Hydrological PredictionEngineeringHydrologic EngineeringWeather ForecastingEnsemble Flood Simulation	2020	11
Assessing Storm Surge Multiscenarios Based on Ensemble Tropical Cyclone Forecasting Md. Rezuanul Islam, Le Duc, Yohei Sawada Journal of Geophysical Research Atmospheres	2023	11

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