Development of the Real‐Time 30‐s‐Update Big Data Assimilation System for Convective Rainfall Prediction With a Phased Array Weather Radar: Description and Preliminary Evaluation-Reference-Cited by-同舟云学术

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Development of the Real‐Time 30‐s‐Update Big Data Assimilation System for Convective Rainfall Prediction With a Phased Array Weather Radar: Description and Preliminary Evaluation

Published:2022-06 Issue:6 Volume:14 Page:
ISSN:1942-2466
Container-title:Journal of Advances in Modeling Earth Systems
language:en
Short-container-title:J Adv Model Earth Syst

Author:

Honda T.¹²^ORCID,Amemiya A.¹³^ORCID,Otsuka S.¹³⁴^ORCID,Lien G.‐Y.¹⁵^ORCID,Taylor J.¹³^ORCID,Maejima Y.¹³,Nishizawa S.¹^ORCID,Yamaura T.¹⁶^ORCID,Sueki K.¹³^ORCID,Tomita H.¹³^ORCID,Satoh S.⁷,Ishikawa Y.⁸,Miyoshi T.¹³⁴^ORCID

Affiliation:

1. RIKEN Center for Computational Science Kobe Japan

2. Now at Faculty of Science Hokkaido University Sapporo Japan

3. RIKEN Cluster for Pioneering Research Kobe Japan

4. RIKEN Interdisciplinary Theoretical and Mathematical Sciences (iTHEMS) Kobe Japan

5. Now at Central Weather Bureau Taipei Taiwan

6. Research Center for Urban Safety and Security Kobe University Kobe Japan

7. National Institute of Information and Communications Technology Koganei Japan

8. National Institute of Informatics Chiyoda‐ku Japan

Funder

Core Research for Evolutional Science and Technology

Japan Society for the Promotion of Science

Japan Aerospace Exploration Agency

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Environmental Chemistry,Global and Planetary Change

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2021MS002823

Reference67 articles.

1. A Multicase Comparative Assessment of the Ensemble Kalman Filter for Assimilation of Radar Observations. Part I: Storm-Scale Analyses

2. A Multicase Comparative Assessment of the Ensemble Kalman Filter for Assimilation of Radar Observations. Part II: Short-Range Ensemble Forecasts

3. Ensemble-based simultaneous state and parameter estimation with MM5

4. Improving the Observation Operator for the Phased Array Weather Radar in the SCALE-LETKF System

5. Flux Parameterization over Land Surfaces for Atmospheric Models

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1. A Consideration of Heavy Rainfall Detection Method Using Multi-Parameter Phased Array Radar, Convolutional Neural Network, and Long Short-Term Memory Network;IEEJ Transactions on Fundamentals and Materials;2024-04-01

2. Velocity estimation of thunderstorm movement and dealiasing of single Doppler radar during convective events;Acta Geophysica;2024-02-21

3. Mitigation of Ground-Clutter Effects by Digital Beamforming With Precomputed Weighting Matrix for Phased Array Weather Radar;IEEE Transactions on Geoscience and Remote Sensing;2024

4. Impact of Assimilating C‐Band Phased‐Array Radar Data With EnKF on the Forecast of Convection Initiation: A Case Study in Beijing, China;Journal of Geophysical Research: Atmospheres;2023-11-30

5. Big Data Assimilation: Real-time 30-second-refresh Heavy Rain Forecast Using Fugaku During Tokyo Olympics and Paralympics;Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis;2023-11-11

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