Processing of 3D Weather Radar Data with Application for Assimilation in the NWP Model

Bebbington, D, Rae, S, Bech, J, Codina, B & Picanyol, M 2007,‘Modelling of weather radar echoes from anomalous propagation using a hybrid parabolic equation method and NWP model data’, Natural Hazards and Earth System Sciences, vol. 7, pp. 391–398.10.5194/nhess-7-391-2007Search in Google Scholar

Bech, J, Gjertsen, U & Haase, G 2007,‘Modelling weather radar beam propagation and topographical blockage at northern high latitudes’, Q. J. R. Meteorol. Soc., vol. 133, pp. 1191– 1204.10.1002/qj.98Search in Google Scholar

Chen, S, Cummings, J, Doyle, J, Hodur, RH, Holt, T, Liou, C, Liu, M, Mirin, A, Ridout, J, Schmidt, JM, Sugiyama, G & Thompson, WT 2003,‘COAMPS 3.0 model description – General theory and equations’, NRL Tech. Note NRL/ PUB/7500-0-3-448.Search in Google Scholar

Einfalt, T, Szturc, J & O?ródka, K 2010,‘The quality index for radar precipitation data: a tower of Babel?’, Atmos. Sci. Let., vol. 11, pp. 139–144.10.1002/asl.271Search in Google Scholar

Gekat, F, Meischner, P, Friedrich, K, Hagen, M, Koistinen, J, Michelson, DB & Huuskonen, A 2004,‘The state of weather radar operations, networks and products’ in Weather Radar: Principles and Advanced Applications, ed P Meischner, Springer-Verlag, Berlin – Heidelberg, pp. 1–51.10.1007/978-3-662-05202-0_1Search in Google Scholar

Germann, U & Joss, J 2004,‘Operational measurement of precipitation in mountainous terrain’ in Weather Radar: Principles and Advanced Applications, ed P Meischner, Springer-Verlag, Berlin – Heidelberg, pp. 52–77.10.1007/978-3-662-05202-0_2Search in Google Scholar

Houtekamer, PL, Mitchell, HL, Pellerin, G, Buehner, M, Charron, M, Spacek, L & Hansen, B 2005,‘Atmospheric data assimilation with an ensemble Kalman flter: results with real observations’, Mon. Wea. Rev., vol. 133, pp. 604–620.10.1175/MWR-2864.1Search in Google Scholar

Meischner, P (ed.) 2004, Weather Radar: Principles and Advanced Applications. Springer-Verlag, Berlin – Heidelberg.Search in Google Scholar

Michelson, D, Einfalt, T, Holleman, I, Gjertsen, U, Friedrich, K, Haase, G, Lindskog, M & Jurczyk, A 2005, Weather radar data quality in Europe – quality control and characterization. COST Action 717, Working document, Luxembourg.Search in Google Scholar

Ośródka, K, Szturc, J & Jurczyk, A 2014,‘Chain of data quality algorithms for 3-D single-polarization radar refectivity (RADVOL-QC system)’, Meteorol. Appl. vol. 21, pp. 256–270.10.1002/met.1323Search in Google Scholar

Rezacova, D, Sokol, Z & Pesice, P 2007,‘A radar-based verifcation of precipitation forecast for local convective storms’, Atmospheric Research, vol. 83, pp. 211–224.10.1016/j.atmosres.2005.08.011Search in Google Scholar

Šálek, M, Cheze, J-L, Handwerker, J, Delobbe, L & Uijlenhoet, R 2004, Radar techniques for identifying precipitation type and estimating quantity of precipitation. COST Action 717, Working Group 1 – A review. Luxembourg,.Search in Google Scholar

Sun, J 2005,‘Convective-scale assimilation of radar data: Progress and challenges’, Q. J. R. Meteorol. Soc., vol. 131, pp. 3439–3463.10.1256/qj.05.149Search in Google Scholar

Villarini, G & Krajewski, WF 2010,‘Review of the different sources of uncertainty in single polarization radar-based estimates of rainfall’, Surveys in Geophysics, vol. 31, pp. 107–129.10.1007/s10712-009-9079-xSearch in Google Scholar

Xue, M, Jung, Y & Zhang, G 2010,‘State estimation of convective storms with a two-moment microphysics scheme and an ensemble Kalman flter: Experiments with simulated radar data’, Q. J. R. Meteorol. Soc., vol. 136, pp. 685–700.10.1002/qj.593Search in Google Scholar

Zappa, M, Beven, KJ, Bruen, M, Cofño, AS, Kok, K, Martin, E, Nurmi, P, Orfla, B, Roulin, E, Schröter, K, Seed, A. Szturc, J, Vehviläinen, B, Germann, U & Rossa, A 2010,‘Propagation of uncertainty from observing systems and NWP into hydrological models: COST-731 Working Group 2’, Atmos. Sci. Lett., vol. 11, pp. 83–91.10.1002/asl.248Search in Google Scholar