The Near-Real-Time SCALE-LETKF System: A Case of the September 2015 Kanto-Tohoku Heavy Rainfall-Reference-Cited by-同舟云学术

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The Near-Real-Time SCALE-LETKF System: A Case of the September 2015 Kanto-Tohoku Heavy Rainfall

Published:2017 Issue:0 Volume:13 Page:1-6
ISSN:1349-6476
Container-title:SOLA
language:en
Short-container-title:SOLA

Author:

Lien Guo-Yuan¹,Miyoshi Takemasa¹²³,Nishizawa Seiya¹,Yoshida Ryuji¹⁴,Yashiro Hisashi¹,Adachi Sachiho A.¹,Yamaura Tsuyoshi¹,Tomita Hirofumi¹

Affiliation:

1. RIKEN Advanced Institute for Computational Science

2. Department of Atmospheric and Oceanic Science, University of Maryland

3. Japan Agency for Marine-Earth Science and Technology (JAMSTEC)

4. Research Center for Urban Safety and Security, Kobe University

Publisher

Meteorological Society of Japan

Subject

Atmospheric Science

Link

https://www.jstage.jst.go.jp/article/sola/13/0/13_2017-001/_pdf

Reference39 articles.

1. Anderson, J., T. Hoar, K. Raeder, H. Liu, N. Collins, R. Torn, and A. Avellano, 2009: The data assimilation research testbed: A community facility. Bull. Amer. Meteor. Soc., 90, 1283-1296, doi:10.1175/2009BAMS2618.1.

2. Beljaars, A. C. M., and A. a. M. Holtslag, 1991: Flux parameterization over land surfaces for atmospheric models. J. Appl. Meteor., 30, 327-341, doi:10.1175/1520-0450(1991)030<0327:FPOLSF>2.0.CO;2.

3. Bonavita, M., M. Hamrud, and L. Isaksen, 2015: EnKF and hybrid gain ensemble data assimilation. Part II: EnKF and hybrid gain results. Mon. Wea. Rev., 143, 4865-4882, doi:10.1175/MWR-D-15-0071.1.

4. Buehner, M., J. Morneau, and C. Charette, 2013: Four-dimensional ensemble-variational data assimilation for global deterministic weather prediction. Nonlin. Processes Geophys., 20, 669-682, doi:10.5194/npg-20-669-2013.

5. Evensen, G., 1994: Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics. J. Geophys. Res., 99, 10143-10162, doi:10.1029/94JC00572.

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