Impact of radar data assimilation and orography on predictability of deep convection
Author:
Affiliation:
1. Hans Ertel Centre for Weather Research, Ludwig‐Maximilians‐Universität München, Munich, Germany
2. Meteorologisches Institut München, Ludwig‐Maximilians‐Universität München, Munich, Germany
Funder
Bundesministerium für Verkehr und Digitale Infrastruktur
Deutsche Forschungsgemeinschaft
Publisher
Wiley
Subject
Atmospheric Science
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/qj.3412
Reference53 articles.
1. A Multicase Comparative Assessment of the Ensemble Kalman Filter for Assimilation of Radar Observations. Part I: Storm-Scale Analyses
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3. The General Question of Predictability
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5. Direct 4D-Var assimilation of all-sky radiances. Part I: Implementation
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