Towards assimilation of wind profile observations in the atmospheric boundary layer with a sub-kilometre-scale ensemble data assimilation system-Reference-Cited by-同舟云学术

Towards assimilation of wind profile observations in the atmospheric boundary layer with a sub-kilometre-scale ensemble data assimilation system

Published:2020-01-01 Issue:1 Volume:72 Page:1-14
ISSN:1600-0870
Container-title:Tellus A: Dynamic Meteorology and Oceanography
language:en
Short-container-title:Tellus A: Dynamic Meteorology and Oceanography

Author:

Finn Tobias Sebastian¹²³^ORCID,Geppert Gernot⁴⁵,Ament Felix¹⁶

Affiliation:

1. Meteorological Institute, Universität Hamburg, Hamburg, Germany

2. Meteorological Institute, Universität Bonn, Bonn, Germany

3. International Max Planck Research School on Earth System Modelling, Max Planck Institute for Meteorology, Hamburg, Germany

4. Department of Meteorology, University of Reading, Reading, UK

5. National Centre for Earth Observation, University of Reading, Reading, UK

6. Max Planck Institute for Meteorology, Hamburg, Germany

Publisher

Informa UK Limited

Subject

Atmospheric Science,Oceanography

Link

https://www.tandfonline.com/doi/pdf/10.1080/16000870.2020.1764307

Reference42 articles.

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2. A Monte Carlo Implementation of the Nonlinear Filtering Problem to Produce Ensemble Assimilations and Forecasts

3. Baas, P. and Bosveld, F. 2010. Assimilation of Cabauw boundary layer observations in an atmospheric single-column model using an ensemble-Kalman filter. Technical report, Royal Netherlands Meteorological Institute, Netherlands.

4. Operational Convective-Scale Numerical Weather Prediction with the COSMO Model: Description and Sensitivities

5. A geo‐statistical observation operator for the assimilation of near‐surface wind data

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