Ionospheric data assimilation and forecasting during storms-Reference-Cited by-同舟云学术

Ionospheric data assimilation and forecasting during storms

Published:2016-01 Issue:1 Volume:121 Page:764-778
ISSN:2169-9380
Container-title:Journal of Geophysical Research: Space Physics
language:en
Short-container-title:J. Geophys. Res. Space Physics

Author:

Chartier Alex T.¹,Matsuo Tomoko²,Anderson Jeffrey L.³,Collins Nancy³,Hoar Timothy J.³,Lu Gang⁴,Mitchell Cathryn N.⁵,Coster Anthea J.⁶,Paxton Larry J.¹,Bust Gary S.¹

Affiliation:

1. Johns Hopkins University Applied Physics Laboratory Laurel Maryland USA

2. Cooperative Institute for Research in Environmental Sciences University of Colorado Boulder Boulder Colorado USA

3. Institute for Mathematics Applied to Geosciences National Center for Atmospheric Research Boulder Colorado USA

4. High Altitude Observatory National Center for Atmospheric Research Boulder Colorado USA

5. Dept. Electrical Engineering University of Bath Bath UK

6. MIT Haystack Observatory Westford Massachusetts USA

Funder

National Science Foundation

Bundesministerium fur Wirtschaft und Technologie

Air Force Office of Scientific Research

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/2014JA020799

Reference60 articles.

1. The Data Assimilation Research Testbed: A Community Facility

2. An Ensemble Adjustment Kalman Filter for Data Assimilation

3. A Local Least Squares Framework for Ensemble Filtering

4. Ionospheric storms-A challenge for empirical forecast of the total electron content

5. Intercomparison of Variational Data Assimilation and the Ensemble Kalman Filter for Global Deterministic NWP. Part I: Description and Single-Observation Experiments

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