Observing System Simulation Experiments of a Rich Phased Array Weather Radar Network Covering Kyushu for the July 2020 Heavy Rainfall Event
Author:
Affiliation:
1. RIKEN Center for Computational Science (R-CCS)
2. Meteorological Research Institute, Japan Meteorological Agency
Publisher
Meteorological Society of Japan
Subject
Atmospheric Science
Link
https://www.jstage.jst.go.jp/article/sola/18/0/18_2022-005/_pdf
Reference35 articles.
1. Amemiya, A., T. Honda, and T. Miyoshi, 2020: Improving the observation operator for the phased array weather radar in the SCALE-LETKF system. SOLA, 16, 6-11.
2. Araki, K., T. Kato, Y. Hirockawa, and W. Mashiko, 2020: Characteristics of atmospheric environments of quasi-stationary convective bands in Kyushu, Japan during the July 2020 heavy rainfall event. SOLA, 17, 8-15, doi:10.2151/sola.2021-002.
3. Duc, L., T. Kawabata, K. Saito, and T. Oizumi, 2021: Forecasts of the July 2020 Kyushu heavy rain using a 1000-member ensemble Kalman filter. SOLA, 17, 41-47.
4. Hirockawa, Y., T. Kato, K. Araki, and W. Mashiko, 2020: Characteristics of an extreme rainfall event in Kyushu district, southwestern Japan in early July 2020. SOLA, 16, 265-270.
5. Hunt, B. R., E. J. Kostelich, and I. Szunyogh, 2007: Efficient data assimilation for spatiotemporal chaos: A local ensemble transform Kalman filter. Physica D, 230, 112-126.
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