An intermediate‐complexity model for four‐dimensional variational data assimilation including moist processes

Author:

Zaplotnik Žiga1ORCID,Žagar Nedjeljka1,Gustafsson Nils2

Affiliation:

1. Faculty of Mathematics and Physics, University of Ljubljana, Ljubljana, Slovenia

2. Swedish Meteorological and Hydrological Institute, Norrköping, Sweden

Funder

European Space Agency

Javna Agencija za Raziskovalno Dejavnost RS

Publisher

Wiley

Subject

Atmospheric Science

Reference32 articles.

1. Limitations of wind extraction from 4D-Var assimilation of ozone

2. AtlasR. KalnayE. BakerW. E. SusskindJ. ReuterD. HalemM..1985.Simulation studies of the impact of future observing systems on weather prediction. In: Conference on Numerical Weather Prediction pp. 145–151.

3. BonavitaM HolmEV.2016.The ECMWF 4D‐Var analysis in the tropics: covariance B dynamic and diabatic balance. In: ECMWF/ESA Workshop Tropical Modelling Observations and Assimilation Reading UK: ECMWF pp. 1–26.

4. Impact of MODIS Polar Winds in ECMWF's 4DVAR Data Assimilation System

5. A strategy for operational implementation of 4D-Var, using an incremental approach

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