Editorial Type:
Article
Article Type:
Research Article

Three-Dimensional Variational Data Analysis to Retrieve Thermodynamical and Dynamical Fields from Various Nested Wind Measurements

Thibaut Montmerle Centre d’Étude des Environnements Terrestre et Planétaire, Velizy, France, and Centre National de Recherche Météorologique, Toulouse, France

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Yvon Lemaître Lemaître Centre d’Étude des Environnements Terrestre et Planétaire, Velizy, France

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Print Publication:
01 Apr 1998
DOI:
https://doi.org/10.1175/1520-0426(1998)015<0360:TDVDAT>2.0.CO;2
Page(s):
360–379
Restricted access

Abstract

The present study is devoted to a new analysis of wind measurements from dropsonding and/or radiosonding of Doppler information from multiple Doppler radar scanning and of other wind measurements (sodar, dynamical sensors on board aircraft, and instruments at ground) aimed at retrieving three-dimensional thermodynamical and dynamical fields both in clear air and in precipitating areas of mesoscale phenomena. This analysis, well suited to assimilate data from differing platforms specified at differing spatial/temporal resolutions, is based on the analytical and variational concept of the Multiple Analytical Doppler (MANDOP) analysis and thus is an extension of it. This new analysis presents many advantages, including the same as MANDOP and others well adapted for the verification or the initialization of a mesoscale cloud model. An application to simulated and to real data extracted from the Tropical Ocean Global Atmosphere Coupled Ocean–Atmosphere Response Experiment database is presented in the paper.

Corresponding author address: Dr. Thibaut Montmerle, CETP-CNRS, 10, 12 av. de l’Europe, 78140 Vélizy, FranceEmail: montmerl@cetp.ipsl.fr

Abstract

The present study is devoted to a new analysis of wind measurements from dropsonding and/or radiosonding of Doppler information from multiple Doppler radar scanning and of other wind measurements (sodar, dynamical sensors on board aircraft, and instruments at ground) aimed at retrieving three-dimensional thermodynamical and dynamical fields both in clear air and in precipitating areas of mesoscale phenomena. This analysis, well suited to assimilate data from differing platforms specified at differing spatial/temporal resolutions, is based on the analytical and variational concept of the Multiple Analytical Doppler (MANDOP) analysis and thus is an extension of it. This new analysis presents many advantages, including the same as MANDOP and others well adapted for the verification or the initialization of a mesoscale cloud model. An application to simulated and to real data extracted from the Tropical Ocean Global Atmosphere Coupled Ocean–Atmosphere Response Experiment database is presented in the paper.

Corresponding author address: Dr. Thibaut Montmerle, CETP-CNRS, 10, 12 av. de l’Europe, 78140 Vélizy, FranceEmail: montmerl@cetp.ipsl.fr

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Journal of Atmospheric and Oceanic Technology

  • Chong, M., P. Amayenc, G. Scialom, and J. Testud, 1987: A tropical squall line observed during the COPT 81 experiment in West Africa. Part I: Kinematic structure inferred from dual-Doppler radar data. Mon. Wea. Rev.,115, 670–694.

    • Crossref
    • Export Citation

  • Dou, X K., G. Scialom, and Y. Lemaître, 1996: MANDOP analysis and airborne Doppler radar for mesoscale studies. Quart. J. Roy. Meteor. Soc.,122, 1231–1261.

    • Crossref
    • Export Citation

  • Franklin, J. L., S. J. Lord, S. E. Feuer, and F. D. Marks, 1993: The kinematic structure of Hurricane Gloria (1985) determined from nested analyses of dropwindsonde and Doppler radar data. Mon. Wea. Rev.,121, 2433–2451.

  • Hardy, K. R., 1963: The development of raindrop size distributions and implications related to the physics of precipitation. J. Atmos. Sci.,20, 299–312.

    • Crossref
    • Export Citation

  • Jorgensen, D. P., T. J. Matejka, D. Johnson, and M. A. LeMone, 1994:A TOGA COARE squall line seen by multiple airborne Doppler radars. Preprints, Sixth Conf. on Mesoscale Processes, Portland, OR, Amer. Meteor. Soc. 25–28.

  • ——, M. A. LeMone, and S. B. Trier, 1997: Structure and evolution of the 22 February 1993 TOGA COARE squall line: Aircraft observations of precipitation, circulation, and surface energy fluxes. J. Atmos. Sci.,54, 1961–1985.

    • Crossref
    • Export Citation

  • Lafore, J. P., 1998: The MesoNH atmospheric simulation system. Part I: Adiabatic formulation and control simulation. Anal. Geophys., in press.

    • Crossref
    • Export Citation

  • Lemaître, Y., and J. Testud, 1988: Relevance of conditional symmetric instability in the interpretation of wide cold frontal rainbands. A case study: 20 May 1976. Quart. J. Roy. Meteor. Soc.,114, 259–270.

    • Crossref
    • Export Citation

  • ——, and G. Scialom, 1992: Three-dimensional mesoscale circulation within a convective postfrontal system. Possible role of conditional symmetric instability for triggering convective motions. Quart. J. Roy. Meteor. Soc.,118A (503), 71–99.

    • Crossref
    • Export Citation

  • ——, ——, and P. Amayenc, 1989: A cold frontal rainband observed during the Landes-Fronts 84 experiment: Mesoscale and small-scale structure inferred from dual Doppler radar analysis. J. Atmos. Sci.,46, 2215–2235.

    • Crossref
    • Export Citation

  • LeMone, M. A., G. M. Barnes, and E. J. Zipser, 1984: Momentum fluxes by lines of cumulonimbus over the tropical oceans. J. Atmos. Sci.,41, 1914–1932.

    • Crossref
    • Export Citation

  • Lin, Y., P. S. Ray, and K. W. Johnson 1993: Initialization of a modelled convective storm using Doppler radar derived fields. Mon. Wea. Rev.,121, 2757–2775.

    • Crossref
    • Export Citation

  • Marécal, V., Y. Lemaître, T. Montmerle, and F. Roux, 1997: Microphysical processes involved in a TOGA-COARE mesoscale convective system. Proc. 22d Conf. on Hurricanes and Tropical Meteorology, Fort Collins, CO, Amer. Meteor. Soc., 217–218.

  • Montmerle T., J. L. Redelsperger, J. P. Lafore, Y. Lemaître, and G. Sommeria, 1996: Extended comparison between airborne Doppler radar data and 3D simulations of a tropical squall line observed during TOGA-COARE. Proc. 12th Conf. on Cloud and Precipitations, Zurich, Switzerland, ICCP, 790–793.

  • Protat, A., Y. Lemaître, and G. Scialom, 1997a: Retrieval of kinematic fields using a single beam airborne Doppler radar performing circular trajectories. J. Atmos. Oceanic Technol.,14, 769–791.

    • Crossref
    • Export Citation

  • ——, ——, and ——, 1997b: Thermodynamic analytical fields from Doppler radar data by means of the MANDOP analysis. Quart. J. Roy. Meteor. Soc., in press.

  • Roux, F., 1985: Retrieval of thermodynamic fields from multiple Doppler radar data using the equation of motion and the thermodynamic equation. Mon. Wea. Rev.,113, 2142–2157.

    • Crossref
    • Export Citation

  • Scialom, G., and Y. Lemaître, 1990: A new analysis for the retrieval of three-dimensional mesoscale wind fields from multiple Doppler radar. J. Atmos. Oceanic Technol.,7, 640–665.

    • Crossref
    • Export Citation

  • Smull, B. F., and R. A. Houze, 1987: Dual-Doppler radar analysis of a midlatitude squall line with a trailing region of stratiform rain. J. Atmos. Sci.,44, 2128–2148.

    • Crossref
    • Export Citation

  • Sun, J., and N. A. Crook, 1996: Retrieval of the dynamical and microphysical variables in observed Florida convective storm using a cloud model and its adjoint. Proc. 18th Conf. on Severe Local Storms, San Fransisco, CA, Amer. Meteor. Soc., 555–558.

  • ——, ——, and L. J. Miller, 1995: Retrieval of the dynamical and microphysical structure of storms in CaPE using a cloud model and its adjoint. Preprints, 27th Int. Conf. on Radar Meteorology, Vail, CO, Amer. Meteor. Soc., 820–822.

  • Trier, S. B., W. C. Skamarock, M. A. LeMone, D. B. Parsons, and D. P. Jorgensen, 1996: Structure and evolution of the 22 February 1993 TOGA COARE squall line: Numerical simulation. J. Atmos. Sci.,53, 2861–2886.

    • Crossref
    • Export Citation

  • ——, ——, and ——, 1997: Structure and evolution of the 22 February 1993 TOGA COARE squall line: Organization mechanisms inferred from numerical simulation. J. Atmos. Sci.,54, 386–407.

    • Crossref
    • Export Citation

  • Webster, P. J., and R. Lukas, 1992: TOGA COARE: The Coupled Ocean–Atmosphere Response Experiment. Bull. Amer. Meteor. Soc.,73, 1377–1416.

    • Crossref
    • Export Citation

  • Yuter, S. E., and R. A. Houze Jr., 1995: Three-dimensional kinematic and microphysical evolution of Florida cumulonimbus. Part II: Frequency distribution of vertical velocity, reflectivity and differential reflectivity. Mon. Wea. Rev.,123, 1941–1963.

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