Assimilating best track minimum sea level pressure data together with doppler radar data using an ensemble Kalman filter for Hurricane Ike (2008) at a cloud-resolving resolution-Reference-Cited by-同舟云学术

Assimilating best track minimum sea level pressure data together with doppler radar data using an ensemble Kalman filter for Hurricane Ike (2008) at a cloud-resolving resolution

Published:2013-06 Issue:3 Volume:27 Page:379-399
ISSN:0894-0525
Container-title:Acta Meteorologica Sinica
language:en
Short-container-title:Acta Meteorol Sin

Author:

Xue Ming,Dong Jili

Publisher

Springer Science and Business Media LLC

Subject

Atmospheric Science,Ocean Engineering

Link

http://link.springer.com/content/pdf/10.1007/s13351-013-0304-7.pdf

Reference38 articles.

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2. Cangialosi, J. P., and J. L. Franklin, 2011: National Hurricane Center Forecast Verification Report, 77 pp.

3. Chen, Y. S., and C. Snyder, 2007: Assimilating vortex position with an ensemble Kalman filter. Mon. Wea. Rev., 135(5), 1828–1845.

4. Dong, J. L., and M. Xue, 2013: Assimilation of radial velocity and reflectivity data from coastal WSR-88D radars using an ensemble Kalman filter for the anal ysis and forecast of landfalling Hurricane Ike (2008). Quart. J. Roy. Meteor. Soc., 139(671), 467–487.

5. Du, N. Z., M. Xue, K. Zhao, et al., 2012: Impact of assimilating airborne Doppler radar velocity data using the ARPS 3DVAR on the analysis and prediction of Hurricane Ike (2008). J. Geophy. Res., 117, D18113, doi: 10.1029/2012JD017687.

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