Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

IF value: 5.240
IF5.240
IF 5-year value: 5.768
IF 5-year
5.768
CiteScore value: 8.9
CiteScore
8.9
SNIP value: 1.713
SNIP1.713
IPP value: 5.53
IPP5.53
SJR value: 3.18
SJR3.18
Scimago H <br class='widget-line-break'>index value: 71
Scimago H
index
71
h5-index value: 51
h5-index51
GMD | Articles | Volume 13, issue 7
Geosci. Model Dev., 13, 3145–3177, 2020
https://doi.org/10.5194/gmd-13-3145-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Geosci. Model Dev., 13, 3145–3177, 2020
https://doi.org/10.5194/gmd-13-3145-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Development and technical paper 13 Jul 2020

Development and technical paper | 13 Jul 2020

An ensemble Kalman filter data assimilation system for the whole neutral atmosphere

Dai Koshin et al.

Data sets

MLS/Aura Level 2 Temperature V004 M. Schwartz, N. Livesey, and W. Read https://doi.org/10.5067/Aura/MLS/DATA2021

NCEP ADP Global Upper Air and Surface Weather Observations (PREPBUFR format) National Centers for Environmental Prediction/National Weather Service/NOAA/U.S. Department of Commerce https://doi.org/10.5065/Z83F-N512

PANSY radar observational data PANSY Research Group http://pansy.eps.s.u-tokyo.ac.jp/

Aura MLS data GES DISC https://doi.org/10.5067/Aura/MLS/DATA2021

Meteor radar data from Kototabang IUGONET http://search.iugonet.org/metadata/001/00000158

Model code and software

LETKF code T. Miyoshi https://github.com/takemasa-miyoshi/letkf

Publications Copernicus
Download
Short summary
A new data assimilation system with a 4D local ensemble transform Kalman filter for the whole neutral atmosphere is developed using a T42L124 general circulation model. A conventional observation dataset and bias-corrected satellite temperature data are assimilated. After the improvements of the forecast model, the assimilation parameters are optimized. The minimum optimal number of ensembles is also examined. Results are evaluated using the reanalysis data and independent radar observations.
A new data assimilation system with a 4D local ensemble transform Kalman filter for the whole...
Citation