Rainfall assimilation in RAMS by means of the Kuo parameterisation inversion: Method and preliminary results

Journal of Hydrology

Volumn 288, Issue 1-2, 2004, Pages 20-35

  Orlandi, A ^a,b   Ortolani, A ^a,b   Meneguzzo, F ^a,b   Levizzani, V ^c   Torricella, F ^c   Turk, F J ^d  

^a LaMMA Consortium   (Italy)

^b INSTITUTE OF BIOMETEOROLOGY   (Italy)

^c INSTITUTE OF ATMOSPHERIC SCIENCES AND CLIMATE   (Italy)

^d NAVAL RESEARCH LABORATORY   (United States)

Author keywords

Geostationary satellite; Precipitation assimilation; Rainfall

Indexed keywords

ALGORITHMS; ATMOSPHERICS; COMPUTER SIMULATION; GEOSTATIONARY SATELLITES; MATHEMATICAL MODELS; WEATHER FORECASTING;

RAINFALL ASSIMILATION; REGIONAL ATMOSPHERIC MODELING SYSTEM;

PRECIPITATION (METEOROLOGY);

DATA ASSIMILATION; ESTIMATION METHOD; FORECASTING METHOD; GEOSTATIONARY SATELLITE; PRECIPITATION (CLIMATOLOGY); SATELLITE DATA;

EID: 6444223482     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2003.11.039     Document Type: Conference Paper

References (47)

1. Anthes R.A. A cumulus parameterisation scheme using a one dimensional cloud model. Mon. Wea. Rev. 105:1997;270-286.
2. Benoit, R., Roch, M., 1987. Impact of a direct assimilation of satellite inferred precipitation rates into a regional meteorological model. Proceedings of the Symposium on Mesoscale Analysis and Forecasting, Vancouver ESA SP-282, pp. 617-623.
3. Betts A.K., Miller M.J. A new convective adjustment scheme. Part I: observational and theoretical basis. Quart. J. Roy. Meteor. Soc. 112:1986a;677-692.
4. Betts A.K., Miller M.J. A new convective adjustment scheme. Pat II: single column tests using GATE wave, BOMEX, ATEX, and Arctic air-mass data sets. Quart. J. Roy. Meteor. Soc. 112:1986b;693-709.
5. Bougeault P., Binder P., Buzzi A., Dirks R., Houze R., Kuettner J., Smith R.B., Steinacker R., Volkert H. The MAP special observing period. Bull. Am. Meteor. Soc. 82:2001;433-462.
6. Carr F.H., Baldwin M. Incorporation of observed precipitation estimates during initialisation of synoptic and mesoscale storms. First International Symposium on Winter Storms, New Orleans, LA. 1991;American Meteorological Society. pp. 71-75.
7. Chang S.W., Holt T.R. Impact of assimilating SSM/I rainfall rates on numerical prediction of winter cyclones. Mon. Wea. Rev. 122:1994;151-164.
8. Cotton W.R., Anthes R.A. Storm and Cloud Dynamics. 1989;Academic Press, New York.
9. Daley R. Atmospheric Data Analysis. 1991;Cambridge University Press, Cambridge.
10. Davidson N.E., Puri K. Tropical prediction using dynamical nudging, satellite-defined convective heat sources, and a cyclone bogus. Mon. Wea. Rev. 120:1992;2501-2522.
11. Falkovich A., Kalnay E., Lord S., Mathur M.B. A new method of observed rainfall assimilation in forecast models. J. Appl. Meteor. 39:2000;1282-1298.
12. Fiorino M., Warner T.T. Incorporating surface winds and rainfall rates into the initialization of a mesoscale hurricane model. Mon. Wea. Rev. 109:1981;1914-1929.
13. Fritsch J.M., Chappell C.F. Numerical prediction of convectively driven mesoscale pressure systems. Part I: convective parameterisation. J. Atmos. Sci. 37:1980;1722-1733.
14. Heckley A.H., Kelly G., Tiedke M. On the use satellite-derived heating rates for data assimilation within the tropics. Mon. Wea. Rev. 118:1990;1743-1757.
15. Jones C.D., Macpherson B. A latent heat nudging scheme for the assimilation of precipitation data into an operational mesoscale model. Meteorol. Appl. 4:1997;269-277.
16. Kain J.S., Fritsh J.M. A one-dimensional entraining/detraining plume model and its application in convective parameterisation. J. Atmos. Sci. 47:1990;2784-2802.
17. Karyampudi V.M., Lai G.S., Manobianco J. Impact of initial conditions, rainfall assimilation and cumulus parameterisation on simulations of hurricane Florence. Mon. sWea. Rev. 126:1998;3077-3101.
18. Kasahara A., Mizzi A.P. Impact of cumulus initialisation on the spinup of precipitation forecasts in the tropics. Mon. Wea. Rev. 120:1992;1360-1380.
19. Krishnamurti T.N., Ingles K., Cocke S., Pasche R., Kitade T. Details of low latitude medium range numerical weather prediction using a global spectral model. Part II: effect of orography and physical initialisation. J. Meteor. Soc. Jpn. 62:1984;613-649.
20. Krishnamurti T.N., Bedi H.S., Heckley W., Ingles K., Oosterhof D. Reduction of spinup time for evaporation and precipitation in a spectral model. Mon. Wea. Rev. 116:1988;907-920.
21. Krishnamurti T.N., Xue J., Bedi H.S., Ingles K., Oosterhof D. Physical initialisation for numerical weather prediction over tropics. Tellus. 43AB:1991;53-81.
22. Kuo H.L. Further studies of the influence of cumulus convection on large-scale flow. J. Atmos. Sci. 31:1974;1232-1240.
23. Levizzani V., Porcù F., Marzano F.S., Mugnai A., Smith E.A., Prodi F. Investigating a SSM/I microwave algorithm to calibrate Meteosat infrared instantaneous rain rate estimates. Met. Appl. 3:1996;5-17.
24. Manobianco J., Koch S., Karyampudi V.M., Negri A.J. The impact of satellite-derived precipitation rates on numerical simulations of the ERICA IOP 4 cyclone. Mon. Wea. Rev. 122:1994;341-365.
25. Marécal V., Mahfouf J.-F. Four-dimensional variational assimilation of total column water vapour in rainy areas. Mon. Wea. Rev. 130:2002;43-58.
26. Marécal, V., Mahfouf, J.-F., 2002b. Experiments on 4D-Var assimilation of rainfall data using an incremental formulation, ECMWF Technical Memorandum, n. 367, May.
27. Mathur M.B., Bedi H.S., Krishnamurti T.N., Kanamitsu M., Woolen J.S. Use of satellite-derived rainfall for improving tropical forecast. Mon. Wea. Rev. 120:1992;2540-2560.
28. *ASTER Division, 2000. RAMS: The Regional Atmospheric Modelling System, Technical Description [at http://www.aster.com ].
29. Mohanty U.C., Kasahara A., Errico R. The impact of diabatic heating on the initialisation of a global forecast model. J. Meteorol. Soc. Jpn. 64:1986;805-817.
30. Molinari J. Numerical hurricane prediction using assimilation of remotely-sensed rainfall rates. Mon. Wea. Rev. 110:1982;553-571.
31. Molinari J. A general form of Kuo's cumulus parameterisation. Mon. Wea. Rev. 113:1985;1411-1416.
32. Molinari J., Corsetti T. Incorporation of cloud-scale and mesoscale down-drafts into a cumulus parameterisation: results of one- and three-dimensional integrations. Mon. Wea. Rev. 113:1985;485-501.
33. Ninomiya, K., Taira, R., Ueno, M., Kurihara, K., Kudo, T., 1987. Mesoscale very short-range numerical prediction with dynamical initialisation including condensation heating. Proceedings of the Symposium on Mesoscale Analysis and Forecasting, Vancouver, ESA SP-282, pp. 611-612.
34. Oh H.-J., Sohn B.-J., Smith E.A., Turk F.J., Seo A.-S., Chung H.-S. Validating infrared-based rainfall retrieval algorithms with 1-minute spatially dense raingauge measurements over the Korean peninsula. Meteor. Atmos. Phys. 81:2002;273-287.
35. Orlandi, A., Meneguzzo, F., Messeri,G., Ortolani, A., Pasqui, M., Rossi, M., Terzo, A., 2001. Satellite rainfall assimilation to improve the quantitative precipitation forecasting. Proceedings of the EUMETSAT Conference held in Antalia, Turkey, 1-5 October 2001.
36. Pereira Fo A.J., Crawford K.C., Stensrud D.J. Mesoscale precipitation fields. Part II: hydrometeorologoc modelling. J. Appl. Meteor. 38:1999;102-125.
37. Pielke R.A., Coauthors. A comprehensive meteorological modelling system-RAMS. Meteor. Atmos. Phys. 49:1992;69-91.
38. Puri K., Davidson N.E. The use of infrared satellite cloud imagery as proxy data for moisture and diabatic heating in data assimilation. Mon. Wea. Rev. 120:1992;2329-2341.
39. Puri K., Miller M.J. Use of satellite data in the specification of convective heating for diabatic initialisation and moisture adjustment in NWP models. Mon. Wea. Rev. 118:1990;67-93.
40. Tarbell T.C., Warner T.T., Anthes R.A. An example of the initialisation of the divergent wind component in a mesoscale numerical model. Mon. Wea. Rev. 109:1981;77-95.
41. Turk F.J., Rohaly G.D., Hawkins J., Smith E.A., Marzano F.S., Mugnai A., Levizzani V. Meteorological applications of precipitation estimation from combined SSM/I, TRMM and infrared geostationary satellite data. Pampaloni P., Paloscia S. Microwave Radiometry and Remote Sensing of the Earth's Surface and Atmosphere. 2000;353-363 VSP Int. Sci. Publ.
42. Tremback, C.J., 1990. Numerical simulation of a mesoscale convective complex: Model development and numerical results. PhD dissertation, Department of Atmospheric Science Paper 465, Colorado State University, Fort Collins, CO.
43. Turpeinen O.M. Diabatic initialisation of the Canadian regional finite-element model (RFE), using satellite data. Part II: sensitivity to humidity enhancement, latent heating profile, and rain rates. Mon. Wea. Rev. 118:1990;1396-1407.
44. Vicente, G.A., 1994. Hourly retrieval of precipitation rate from the combination of passive microwave and infrared satellite measurements. PhD Dissertation, University of Wisconsin, Madison, WI, USA.
45. Wang W., Warner T.T. Use of four-dimensional data assimilation to improve a mesoscale-model precipitation forecast: a case study. Mon. Wea. Rev. 116:1988;2593-2613.
46. Warner T.T., Hsu H.-M. Nested-model simulation of moist convection: the impact of coarse-grid parameterised convection on fine-grid resolved convection. Mon. Wea. Rev. 128:2000;2211-2231.
47. Zupansky D., Mesinger F. Four-dimensional variational assimilation of precipitation data. Mon. Wea. Rev. 123:1995;1112-1127.