Variational assimilation of cloud liquid/ice water path and its impact on NWP

Journal of Applied Meteorology and Climatology

Volumn 54, Issue 8, 2015, Pages 1809-1825

  Chen, Yaodeng ^a   Wang, Hongli ^b,c   Min, Jinzhong ^a   Huang, Xiang Yu ^d   Minnis, Patrick ^e   Zhang, Ruizhi ^a   Haggerty, Julie ^f   Palikonda, Rabindra ^g  

^a NANJING UNIVERSITY OF INFORMATION SCIENCE AND TECHNOLOGY   (China)

^b Department of Environmental and Radiological Health Sciences   (United States)

^c NOAA EARTH SYSTEM RESEARCH LABORATORY   (United States)

^d NATIONAL ENVIRONMENT AGENCY   (Singapore)

^e NASA LANGLEY RESEARCH CENTER   (United States)

^f NATIONAL CENTER FOR ATMOSPHERIC RESEARCH   (United States)

^g SCIENCE SYSTEMS AND APPLICATIONS INC   (United States)

Author keywords

Data assimilation

Indexed keywords

GEOSTATIONARY SATELLITES; ICE; LIQUIDS; NASA;

CLOUD LIQUID WATER PATH; DATA ASSIMILATION; DATA ASSIMILATION TECHNIQUES; NUMERICAL WEATHER PREDICTION MODELS; REGIONAL NUMERICAL WEATHER PREDICTIONS; VARIATIONAL ASSIMILATION; VARIATIONAL DATA ASSIMILATION; WEATHER RESEARCH AND FORECASTING MODELS;

WEATHER FORECASTING;

CLOUD COVER; DATA ASSIMILATION; ICE; WEATHER FORECASTING;

EID: 84945949624     PISSN: 15588424     EISSN: 15588432     Source Type: Journal    
DOI: 10.1175/JAMC-D-14-0243.1     Document Type: Article

References (52)

1. Albers, S. C., J. A. McGinley, D. L. Birkenheuer, and J. R. Smart, 1996: The Local Analysis and Prediction System (LAPS): Analyses of clouds, precipitation, and temperature. Wea. Forecasting, 11, 273-287, doi:10.1175/1520-0434(1996)011<0273:TLAAPS>2.0.CO;2.
2. Auligné, T., and H. Wang, 2012: Assimilation of cloud-affected infrared satellite radiances. Abstract, 13th WRF Users' Workshop, Boulder, CO, UCAR, P13. [Available online at http://www2.mmm.ucar.edu/wrf/users/workshops/WS2012/abstracts/p13.htm.]
3. Auligné, T., A. Lorenc, Y. Michel, T. Montmerle, A. Jones, M. Hu, and J. Dudhia, 2011: Toward a new cloud analysis and prediction system. Bull. Amer. Meteor. Soc., 92, 207-210, doi:10.1175/2010BAMS2978.1.
4. Barker, D., and Coauthors, 2012: The Weather Research and Forecasting Model's Community Variational/Ensemble Data Assimilation System: WRFDA. Bull. Amer. Meteor. Soc., 93, 831-843, doi:10.1175/BAMS-D-11-00167.1.
5. Bauer, P., and Coauthors, 2011: Satellite cloud and precipitation assimilation at operational NWP centres. Quart. J. Roy. Meteor. Soc., 137, 1934-1951, doi:10.1002/qj.905.
6. Benedetti, A., and M. Janisková, 2008: Assimilation of MODIS cloud optical depths in the ECMWF model. Mon. Wea. Rev., 136, 1727-1746, doi:10.1175/2007MWR2240.1.
7. Benjamin, S. G., and Coauthors, 2004: An hourly assimilationforecast cycle: The RUC. Mon. Wea. Rev., 132, 495-518, doi:10.1175/1520-0493(2004)132<0495:AHACTR>2.0.CO;2.
8. Derber, J. C., and W.-S. Wu, 1998: The use of TOVS cloud-cleared radiances in the NCEP SSI analysis system. Mon. Wea. Rev., 126, 2287-2299, doi:10.1175/1520-0493(1998)126<2287:TUOTCC>2.0.CO;2.
9. Desroziers, G., L. Berre, B. Chapnik, and P. Poli, 2005: Diagnosis of observation, background and analysis-error statistics in observation space. Quart. J. Roy. Meteor. Soc., 131, 3385-3396, doi:10.1256/qj.05.108.
10. Dong, X., P. Minnis, G. G. Mace, W. L. Smith Jr., M. Poellot, R. T. Marchand, and A. D. Rapp, 2002: Comparison of stratus cloud properties deduced from surface, GOES, and aircraft data during the March 2000 ARM Cloud IOP. J. Atmos. Sci., 59, 3265-3284, doi:10.1175/1520-0469(2002)059<3265:COSCPD>2.0.CO;2.
11. Errico, R. M., P. Bauer, and J.-F. Mahfouf, 2007: Issues regarding the assimilation of cloud and precipitation data. J. Atmos. Sci., 64, 3785-3798, doi:10.1175/2006JAS2044.1.
12. Gao, J., and D. J. Stensrud, 2012: Assimilation of reflectivity data in a convective-scale, cycled 3DVAR framework with hydrometeor classification. J. Atmos. Sci., 69, 1054-1065, doi:10.1175/JAS-D-11-0162.1.
13. Hu, M., M. Xue, and K. Brewster, 2006a: 3DVAR and cloud analysis with WSR-88D level-II data for the prediction of the Fort Worth, Texas, tornadic thunderstorms. Part I: Cloud analysis and its impact. Mon. Wea. Rev., 134, 675-698, doi:10.1175/MWR3092.1.
14. Hu, M., M. Xue, J. Gao, and K. Brewster, 2006b: 3DVAR and cloud analysis with WSR-88D level-II data for the prediction of the Fort Worth, Texas, tornadic thunderstorms. Part II: Impact of radial velocity analysis via 3DVAR. Mon. Wea. Rev., 134, 699-721, doi:10.1175/MWR3093.1.
15. Jones, T. A., and D. J. Stensrud, 2015: Assimilating cloud water path as a function of model cloud microphysics in an idealized simulation. Mon. Wea. Rev., 143, 2052-2081, doi:10.1175/MWR-D-14-00266.1.
16. Jones, T. A., D. J. Stensrud, P. Minnis, and R. Palikonda, 2013: Evaluation of a forward operator to assimilate cloud water path into WRFDART. Mon. Wea. Rev., 141, 2272-2289, doi:10.1175/MWR-D-12-00238.1.
17. Kerr, C. A., D. J. Stensrud, and X. Wang, 2015: Assimilation of cloud top temperature and radar observations of an idealized splitting supercell using an Observing System Simulation Experiment. Mon. Wea. Rev., 143, 1018-1034, doi:10.1175/MWR-D-14-00146.1.
18. Koch, S. E., A. Aksakal, and J. T. McQueen, 1997: The influence of mesoscale humidity and evapotranspiration fields on a model forecast of a cold-frontal squall line. Mon. Wea. Rev., 125, 384-409, doi:10.1175/1520-0493(1997)125<0384:TIOMHA>2.0.CO;2.
19. Kostka, P. M., M. Weissmann, R. Buras, B. Mayer, and O. Stiller, 2014: Observation operator for visible and near-infrared satellite reflectances. J. Atmos. Oceanic Technol., 31, 1216-1233, doi:10.1175/JTECH-D-13-00116.1.
20. Liu, M., J. W. Yu, G. R. Han, and P.-B. Zhang, 2014: Analysis of circulation feature of a continuous heavy rain in YangtzeHuaihe basin during mid-July in 2011. J. Trop. Meteor., 30, 153-160.
21. Liu, Z., C. S. Schwartz, C. Snyder, and S. Y. Ha, 2012: Impact of assimilating AMSU-A radiances on forecasts of 2008 Atlantic tropical cyclones initialized with a limited-area ensemble Kalman filter. Mon. Wea. Rev., 140, 4017-4034, doi:10.1175/MWR-D-12-00083.1.
22. McNally, A. P., 2009: The direct assimilation of cloud affected satellite infrared radiances in the ECMWF 4D-Var. Quart. J. Roy. Meteor. Soc., 135, 1214-1229, doi:10.1002/qj.426.
23. Migliorini, S., 2012: On the equivalence between radiance and retrieval assimilation. Mon. Wea. Rev., 140, 258-265, doi:10.1175/MWR-D-10-05047.1.
24. Minnis, P., 2007: Cloud retrievals from GOES-R. Proc. OSA Hyperspectral Imaging and Sounding of the Environment Topical Meeting, Santa Fe, NM, Optical Society of America, HWC3m, doi:10.1364/HISE.2007.HWC3.
25. Minnis, P., and Coauthors, 2008: Near-real time cloud retrievals from operational and research meteorological satellites. Remote Sensing of Clouds and the Atmosphere XIII, R. H. Picard et al., Eds., International Society for Optical Engineering (SPIE Proceedings, Vol. 7107), doi:10.1117/12.800344.
26. Minnis, P., and Coauthors, 2011a: CERES Edition-2 cloud property retrievals using TRMM VIRS and Terra and Aqua MODIS data-Part I: Algorithms. IEEE Trans. Geosci. Remote Sens., 49, 4374-4400, doi:10.1109/TGRS.2011.2144601.
27. Minnis, P., and Coauthors, 2011b: CERES Edition-2 cloud property retrievals using TRMM VIRS and Terra and Aqua MODIS data-Part II: Examples of average results and comparisons with other data. IEEE Trans. Geosci. Remote Sens., 49, 4401-4430, doi:10.1109/TGRS.2011.2144602.
28. Okamoto, K., A. P. McNally, and W. Bell, 2014: Progress towards the assimilation of all-sky infrared radiances: An evaluation of cloud effects. Quart. J. Roy. Meteor. Soc., 140, 1603-1614, doi:10.1002/qj.2242.
29. Painemal, D., P. Minnis, J. K. Ayers, and L. O'Neill, 2012: GOES-10 microphysical retrievals in marine warm clouds: Multiinstrument validation and daytime cycle over the southeast Pacific. J. Geophys. Res., 117, D19212, doi:10.1029/2012JD017822.
30. Parrish, D. F., and J. C. Derber, 1992: The National Meteorological Center's spectral statistical-interpolation analysis system. Mon. Wea. Rev., 120, 1747-1763, doi:10.1175/1520-0493(1992)120<1747:TNMCSS>2.0.CO;2.
31. Parsons, D. B., M. A. Shapiro, and E. Miller, 2000: The mesoscale structure of a nocturnal dryline and of a frontal-dryline merger. Mon. Wea. Rev., 128, 3824-3838, doi:10.1175/1520-0493(2001)129<3824:TMSOAN>2.0.CO;2.
32. Pavelin, E., S. English, and J. Eyre, 2008: The assimilation of cloudaffected infrared satellite radiances for numerical weather prediction. Quart. J. Roy. Meteor. Soc., 134, 737-749, doi:10.1002/qj.243.
33. Pincus, R., R. J. Patrick Hofmann, J. L. Anderson, K. Raeder, N. Collins, and J. S. Whitaker, 2011: Can fully accounting for clouds in data assimilation improve short-term forecasts by global models? Mon. Wea. Rev., 139, 946-957, doi:10.1175/2010MWR3412.1.
34. Platnick, S., M. D. King, S. A. Ackerman, W. P. Menzel, B. A. Baum, J. C. Riedl, and R. A. Frey, 2003: The MODIS cloud products: Algorithms and examples from Terra. IEEE Trans. Geosci. Remote Sens., 41, 459-473, doi:10.1109/TGRS.2002.808301.
35. Polkinghorne, R., and T. Vukicevic, 2011: Data assimilation of cloud-affected radiances in a cloud-resolving model. Mon. Wea. Rev., 139, 755-773, doi:10.1175/2010MWR3360.1.
36. Prates, C., S. Migliorini, S. English, and E. Pavelin, 2014: Assimilation of satellite infrared sounding measurements in the presence of heterogeneous cloud fields. Quart. J. Roy Meteor. Soc., 140, 2062-2077, doi:10.1002/qj.2279.
37. Raymond, W. H., W. S. Olson, and G. Callan, 1995: Diabatic forcing and initialization with assimilation of cloud water and rainwater in a forecast model. Mon. Wea. Rev., 123, 366-382, doi:10.1175/1520-0493(1995)123<0366:DFAIWA>2.0.CO;2.
38. Shen, Y., P. Zhao, Y. Pan, and J. Yu, 2014: A high spatiotemporal gauge satellite merged precipitation analysis over China. J. Geophys. Res. Atmos., 119, 3063-3075, doi:10.1002/2013JD020686.
39. Stengel, M., M. Lindskog, P. Undén, and N. Gustafsson, 2013: The impact of cloud-affected IR radiances on forecast accuracy of a limited-area NWP model. Quart. J. Roy. Meteor. Soc., 139, 2081-2096, doi:10.1002/qj.2102.
40. Sun, J., and N. A. Crook, 1998: Dynamical and microphysical retrieval from Doppler radar observations using a cloud model and its adjoint. Part II: Retrieval experiments of an observed Florida convective storm. J. Atmos. Sci., 55, 835-852, doi:10.1175/1520-0469(1998)055<0835:DAMRFD>2.0.CO;2.
41. Sun, J., and H. Wang, 2013: Radar data assimilation with WRF 4DVar: Part II. Comparison with 3D-Var for a squall line over the U.S. Great Plains. Mon. Wea. Rev., 141, 2245-2264, doi:10.1175/MWR-D-12-00169.1.
42. Vukicevic, T., T. Greenwald, M. Zupanski, D. Zupanski, T. Vonder Haar, and A. Jones, 2004: Mesoscale cloud state estimation from visible and infrared satellite radiances. Mon. Wea. Rev., 132, 3066-3077, doi:10.1175/MWR2837.1.
43. Wang, H., J. Sun, S. Fan, and X.-Y. Huang, 2013a: Indirect assimilation of radar reflectivity with WRF 3D-Var and its impact on prediction of four summertime convective events. J. Appl. Meteor. Climatol., 52, 889-902, doi:10.1175/JAMC-D-12-0120.1.
44. Wang, H., J. Sun, X. Zhang, X.-Y. Huang, and T. Auligné, 2013b: Radar data assimilation with WRF 4D-Var. Part I: System development and preliminary testing. Mon. Wea. Rev., 141, 2224-2244, doi:10.1175/MWR-D-12-00168.1.
45. Wang, H., X.-Y. Huang, J. Sun, D. Xu, M. Zhang, S. Fan, and J. Zhong, 2014: Inhomogeneous background error modeling for WRFVar using the NMC method. J. Appl. Meteor. Climatol., 53, 2287-2309, doi:10.1175/JAMC-D-13-0281.1.
46. Wang, X., D. M. Barker, C. Snyder, and T. M. Hamill, 2008: A hybrid ETKF-3DVAR data assimilation scheme for the WRF Model. Part I: Observing system simulation experiment. Mon. Wea. Rev., 136, 5116-5131, doi:10.1175/2008MWR2444.1.
47. Weisz, E., J. Li, J. Li, D. K. Zhou, H. L. Huang, M. D. Goldberg, and P. Yang, 2007: Cloudy sounding and cloud top height retrieval from AIRS alone single field of view radiance measurements. Geophys. Res. Lett., 34, L12802, doi:10.1029/2007GL030219.
48. Xi, B., X. Dong, P. Minnis, and S. Sun-Mack, 2014: Validation of CERES-MODIS Edition 4 marine boundary layer cloud properties using DOE ARM AMF measurements at the Azores. J. Geophys. Res. Atmos., 119, 9509-9529, doi:10.1002/2014JD021813.
49. Xu, D., Z. Liu, X.-Y. Huang, J. Min, and H. Wang, 2013: Impact of assimilating IASI radiance observations on forecasts of two tropical cyclones. Meteor. Atmos. Phys., 122, 1-18, doi:10.1007/s00703-013-0276-2.
50. Zhang, M., and D.-L. Zhang, 2012: Subkilometer simulation of a torrential-rain-producing mesoscale convective system in east China. Part I: Model verification and convective organization. Mon. Wea. Rev., 140, 184-201, doi:10.1175/MWR-D-11-00029.1.
51. Zhang, X., X.-Y. Huang, J. Liu, J. Poterjoy, Y. Weng, F. Zhang, and H. Wang, 2014: Development of an efficient regional fourdimensional variational data assimilation system for WRF. J. Atmos. Oceanic Technol., 31, 2777-2794, doi:10.1175/JTECH-D-13-00076.1.
52. Zhao, Q., and Y. Jin, 2008: High-resolution radar data assimilation for Hurricane Isabel (2003) at landfall. Bull. Amer. Meteor. Soc., 89, 1355-1372, doi:10.1175/2008BAMS2562.1.