- "An extended observation operator in HIRLAM 4D-VAR for the assimilation of cloud-affected satellite radiances"
Stengel M, Lindskog M, Unden P, Gustafsson N, Bennartz R, Quarterly Journal of the Royal Meteorological Society 136(649): 1064-1074 Apr 2010. Results highlight the capability of this observation operator in the HIRLAM assimilation system and encourage its application for the extended usage of cloudy satellite observations in numerical weather prediction.
- "Utilizing spaceborne radars to retrieve dry snowfall"
Kulie MS, Bennartz R, Journal of Applied Meteorology and Climatology 48 (12): 2564-2580 Dec 2009. A dataset consisting of one year of CloudSat Cloud Profiling Radar (CPR) near-surface radar reflectivity Z associated with dry snowfall is examined in this study.
- "Assimilation of SEVIRI infared radiances with HIRLAM 4D-Var"
Stengel M, Unden P, Lindskog M, et al., Quarterly Journal of the Royal Meteorological Society 135 (645) Special Issue B 2100-2109 Oct 2009. Four-dimensional variational data assimilation (4D-Var) systems are ideally suited to obtain the best possible initial model state by utilizing information about the dynamical evolution of the. atmospheric state from observations, such as satellite measurements, distributed over a certain period of time. In recent years, 4D-Var systems have been developed for several global and limited-area models. At the same time, spatially and temporally highly resolved satellite observations, as for example performed by the Spinning Enhanced Visible and InfraRed Imager (SEVIRI) on board the Meteosat Second Generation satellites, have become available
- "Simulating marine boundary layer clouds over the eastern Pacific in a regional climate model with double-moment cloud microphysics"
Lauer A, Wang YQ, Phillips VTJ, et al., Journal of Geophysical Research-Atmospheres 114 article #D21205 Nov 2009. A double-moment cloud microphysics scheme with a prognostic treatment of aerosols inside clouds has been implemented into the International Pacific Research Center Regional Atmospheric Model (iRAM) to simulate marine boundary layer clouds over the eastern Pacific and to study aerosol-cloud interactions, including the aerosol indirect effect. This paper describes the new model system and presents a comparison of model results with observations.
- "Heavy pollution suppresses light rain in China: observations and modeling"
Qian Y, Gong DY, Fan JW, et al., Journal of Geophysical Research-Atmospheres 114: article #D00K02 Aug 2009. The causes of decrease in light rain in Eastern China are examined and determined to be pollution related.