Impact of assimilating lidar water vapour and temperature profiles with a hybrid ensemble transform Kalman filter: Three‐dimensional variational analysis on the convection‐permitting scale-Reference-Cited by-同舟云学术

Impact of assimilating lidar water vapour and temperature profiles with a hybrid ensemble transform Kalman filter: Three‐dimensional variational analysis on the convection‐permitting scale

Published:2021-10 Issue:741 Volume:147 Page:4163-4185
ISSN:0035-9009
Container-title:Quarterly Journal of the Royal Meteorological Society
language:en
Short-container-title:QJR Meteorol Soc

Author:

Thundathil Rohith¹^ORCID,Schwitalla Thomas¹^ORCID,Behrendt Andreas¹,Wulfmeyer Volker¹

Affiliation:

1. Institute of Physics and Meteorology University of Hohenheim Stuttgart Germany

Funder

Universität Hohenheim

Publisher

Wiley

Subject

Atmospheric Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/qj.4173

Reference102 articles.

1. First assimilation of temperature lidar data into an NWP model: impact on the simulation of the temperature field, inversion strength and PBL depth

2. Daytime operation of a pure rotational Raman lidar by use of a Fabry–Perot interferometer

3. A Three-Dimensional Variational Data Assimilation System for MM5: Implementation and Initial Results

4. Quantitative precipitation estimation based on high-resolution numerical weather prediction and data assimilation with WRF – a performance test

5. Combined Raman lidar for the measurement of atmospheric temperature, water vapor, particle extinction coefficient, and particle backscatter coefficient

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