An object-based approach for areal rainfall estimation and validation of atmospheric models

Meteorology and Atmospheric Physics

Volumn 115, Issue 3-4, 2012, Pages 139-151

  Trömel, Silke ^a   Simmer, Clemens ^a  

^a UNIVERSITY OF BONN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ESTIMATION METHOD; NUMERICAL MODEL; PRECIPITATION (CLIMATOLOGY); RAINFALL; STATISTICAL ANALYSIS; THREE-DIMENSIONAL MODELING; WEATHER FORECASTING;

EID: 84856434824     PISSN: 01777971     EISSN: 14365065     Source Type: Journal    
DOI: 10.1007/s00703-011-0173-5     Document Type: Article

References (35)

1. Adler RF, Mack RA (1984) Thunderstorm cloud height-rainfall rate for use with satellite rainfall techniques. J Clim Appl Meteorol 23: 280-296.
2. Atlas D, Rosenfeld D, Short DA (1990) The estimation of convective rainfall by area integrals 1. The theoretical and empirical basis. J Geophys Res 95: 2153-2160.
3. Bachner S, Kapala A, Simmer C (2008) Evaluation of daily precipitation characteristics and their sensitivity to parameterizations. Meteorol Z 17(4): 407-419.
4. Chumchean S, Seed AW, Sharma A (2004) Application of scaling in radar reflectivity for correcting range-dependent bias in climatological radar rainfall estimates. J Atmos Ocean Technol 21(10): 1545-1556.
5. Davies C, Brown B, Bullock R (2006) Object-based verification of precipitation forecasts. Part I: Methodology and application to mesoscale rain areas. Mon Weather Rev 134: 1772-1784.
6. Demaria E, Rodriguez DA, Ebert EE, Salio P, Su F, Valdes JB (2011) Evaluation of mesoscale convective systems in South America using multiple satellite products and an object-based approach. J Geophys Res. doi: 10. 1029/2010JD015157 (in press).
7. Doms G, Schättler U (2002) A description of the nonhydrostatic regional model LM. Part 1: Dynamics and Numerics. Deutscher Wetterdienst DWD, Offenbach, pp 1-134.
8. Doms G, Förstner J, Heise E, Herzog H-J, Raschendorfer M, Schrodin R, Reinhardt T, Vogel G (2005) A description of the Nonhydrostatic Regional Model LM. Part 2: Physical Parameterization (only draft version). Deutscher Wetterdienst DWD, Offenbach, pp 1-118.
9. Doneaud AA, Smith PL, Dennis AS, Sengupta S (1981) A simple method for estimating convective rain volume over an area. Water Resour Res 17: 1676-1682.
10. Dotzek N (1999) Mesoskalige numerische Simulation von Wolken- und Niederschlagsprozessen über strukturiertem Gelände. Dissertation, Institut für Meteorologie und Klimaforschung, Universität Karlsruhe/Forschungszentrum Karlsruhe, Karlsruhe.
11. Gandin LS (1963) Objective analysis of meteorological fields. Gidrometeorologicheskoe Izdate'stvo, Leningrad, p 286.
12. Haase G, Crewell S, Simmer C, Wergen W (2000) Assimilation of radar data in mesoscale models-physical initialization and latent heat nudging. Phys Chem Earth (B) 25: 1237-1242.
13. Handwerker J (2002) Cell tracking with TRACE3D-a new algorithm. Atmos Res 61: 15-34.
14. Hense A, Wulfmeyer V (2008) The German Priority Program SPP1167 "Quantitative Precipiation Forecast". Met Z 17(6): 703-705.
15. Johnson JT, MacKeen PL, Witt A, Mitchell ED, Stumpf GJ, Eilts MD, Thomas KW (1998) The storm cell identification and tracking algorithm: an enhanced WSR-88D algorithm. Weather forecast 13(2): 263-276.
16. Kessler E (1969) On the distribution and continuity of water substance in atmospheric circulation. Meteor Monogr 10(32): 1-84.
17. Lopez RE, Atlas D, Rosenfeld D, Thomas JL, Blanchard DO, Holle RL (1989) Estimation of areal rainfall using the radar echo area time integral. J Appl Meteorol 28: 1162-1174.
18. Ludlam FH (1980) Clouds and storms: the behaviour and effect of water in the atmosphere. Pennsylvania State University Press, University Park, p 405.
19. Marshall JS, WMcK Palmer (1948) The distribution of raindrops with size. J Meteor 5: 165-166.
20. Milan M, Venema V, Schüttemeyer D, Simmer C (2008) Assimilation of radar and satellite data in Mesoscale Models: a physical initialisation scheme. Meteor Z 7(6): 887-902.
21. Miller RC (1972) Notes on analysis and severe storm forecasting procedures of the Air Force Global Weather Central. Tech Report 200(R), Headquarters, Air Weather Service, Scott Air Force Base, IL 62225, 190pp.
22. Paulat M, Frei C, Hagen M, Wernli H (2008) A gridded dataset of hourly precipitation in Germany: its construction, climatology and application. Meteorol Z 17(6): 719-732.
23. Press WH, Teukolky SA, Vetterling WT, Flannery BP (1992) Numerical recipes in Fortran 77. Cambridge University Press, New York, p 933.
24. Rinne H (1997) Taschenbuch der Statistik, 2, überarb. und erw. Aufl., Verlag Harri Deutsch, Thun und Frankfurt am Main, 1-650.
25. Roe GH (2005) Orographic Precipitation. Annu Rev Earth Planet Sci 33: 645-671.
26. Rosenfeld D, Gagin A (1989) Factors governing the total rainfall yield of continental convective clouds. J Appl Meteorol 28: 1015-1030.
27. Rosenfeld D, Atlas D, Short DA (1990) The estimation of convective rainfall by area integrals. 2. The Height-Area Rainfall Threshold (HART) Method. J Geophys Res 95: 2161-2176.
28. Rosenfeld D, Amitai E, Wolff DB (1995a) Classification of rain regimes by the three-dimensional properties of reflectivity fields. J Appl Meteor 34: 198-211.
29. Rosenfeld D, Amitai E, Wolff DB (1995b) Improved accuracy of radar WPMM estimation rainfall upon application of objective classification criteria. J Appl Meteor 34: 212-223.
30. Seifert A, Beheng KD (2006) A two-moment cloud microphysics parameterization for mixed-phase clouds. Part I: Model description. Meteorol Atmos Phys 92: 45-66. doi: 10. 1007/s00703-005-0112-4.
31. Simon JL (2004) Tracking of radar-detected precipitation-centroids using scale-space methods for automatic focussing. Diplomarbeit, Mathematisch-Naturwissenschaftliche Fakultät der Rheinischen Friedrich-Wilhelm-Universität zu Bonn, pp 89.
32. Storch HV, Zwiers FW (1999) Statistical analysis in climate research. Cambridge University Press, Cambridge, p 484.
33. Trömel S, Simmer C, Braun J, Gerstner T, Griebel M (2009) Towards the use of integral radar volume descriptors for quantitative areal precipitation estimation-results from pseudo-radar observations. J Atmos Ocean Technol 26(9): 1798-1813. doi: 10. 1175/2009JTECHA1203. 1.
34. Wernli H, Paulat M, Hagen M, Frei C (2008) SAL-a novel quality measure for the verification of quantitative precipitation forecasts. Mon Weather Rev 136: 4470-4487.
35. William Gallus A Jr (2010) Application of object-based verification techniques to ensemble precipitation forecasts. Weather Forecast 25(1): 144-158.