Sensitivity Study of Cloud Cover and Ozone Modeling to Microphysics Parameterization

Author:

Wałaszek Kinga,Kryza Maciej,Szymanowski Mariusz,Werner Małgorzata,Ojrzyńska Hanna

Funder

Narodowe Centrum Nauki

LIFE+ Financial Instrument

Publisher

Springer Science and Business Media LLC

Subject

Geochemistry and Petrology,Geophysics

Reference44 articles.

1. Baró, R., Jiménez-Guerrero, P., Balzarini, A., Curci, G., Forkel, R., Grell, G., Hirtl, M., Honzak, L., Langerf, M., Pérez, J. L., Pirovano, G., San José, R., Tuccella, P., Werhahn, J., and Žabkar, R. (2015). Sensitivity analysis of the microphysics scheme in WRF-Chem contributions to AQMEII phase 2. Atmospheric Environment, 115, 620–629. doi: 10.1016/j.atmosenv.2015.01.047 .

2. Bretherton, C., Klinker, E., Betts, A., and Coakley, J. J. (1995). Comparison of ceilometer, satellite, and synoptic measurements of boundary-layer cloudiness and the ECMWF diagnostic cloud parameterization scheme during. Journal of the Atmospheric Sciences, 52(16), 2736–2751. Retrieved from http://ir.library.oregonstate.edu/xmlui/handle/1957/26417 .

3. Crocker, R., and Mittermaier, M. (2013). Exploratory use of a satellite cloud mask to verify NWP models. Meteorological Applications, 20(2), 197–205. doi: 10.1002/met.1384 .

4. Derrien, M., Gléau, H. Le, and Raoul, M. (2010). The use of the high resolution visible in SAFNWC/MSG cloud mask. In Proceedings of the 2010 EUMETSAT Meteorological Satellite Conference, 20–24 September 2010, Córdoba, Spain (p. 57 pp.). Retrieved from http://hal.archives-ouvertes.fr/meteo-00604325/ .

5. Fensholt, R., Anyamba, A., Huber, S., Proud, S. R., Tucker, C. J., Small, J., Pak, E., Rasmussen, M. O., Sandholt, I., and Shisanya, C. (2011). Analysing the advantages of high temporal resolution geostationary MSG SEVIRI data compared to Polar Operational Environmental Satellite data for land surface monitoring in Africa. International Journal of Applied Earth Observation and Geoinformation 13(5), 721–729. doi: 10.1016/j.jag.2011.05.009 .

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