Editorial Type:
Article
Article Type:
Research Article

Construction of Marine Surface Pressure Fields from Scatterometer Winds Alone

Carol S. Hsu Department of Atmospheric Sciences, University of California–Los Angeles, Los Angeles, California

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Morton G. Wurtele Department of Atmospheric Sciences, University of California–Los Angeles, Los Angeles, California

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Glenn F. Cunningham Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California

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Peter M. Woiceshyn Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California

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Print Publication:
01 Sep 1997
DOI:
https://doi.org/10.1175/1520-0450(1997)036<1249:COMSPF>2.0.CO;2
Page(s):
1249–1261
Restricted access

Abstract

A series of 6-h, synoptic, gridded, global surface wind fields with a resolution of 100 km was generated using the dataset of dealiased Seasat satellite scatterometer (SASS) winds produced as described by Peteherych et al. This paper is an account of the construction of surface pressure fields from these SASS synoptic wind fields only, as carried out by different methods, and the comparison of these pressure fields with National Centers for Environmental Prediction (NCEP) analyses, with the pressure fields of the European Centre for Medium-Range Weather Forecasts (ECMWF), and with the special analyses of the Gulf of Alaska Experiment.

One of the methods we use to derive the pressure fields utilizes a two-layer planetary boundary layer (PBL) model iterative scheme that relates the geostrophic wind vector to the surface wind vector, surface roughness, humidity, diabatic and baroclinic effects, and secondary flow. A second method involves the assumption of zero two-dimensional divergence, leading to a Poisson equation (the “balance equation”) in pressure, with the wind field serving as a forcing function.

The pressure fields computed from the SASS winds using a two-layer PBL model closely approximate the NCEP and ECMWF fields. In some cases, the PBL-model-derived pressure fields can detect mesoscale features not resolved in either the NCEP or ECMWF analyses. Balanced pressure fields are much smoother and less well resolved than the PBL-model-derived or NCEP fields. Systematic differences between balanced pressure fields and the PBL-model-derived fields are attributed to the neglect of horizontal divergence in the balance equation. The effect of stratification is found to produce a larger impact than secondary flow or thermal wind effects on the derived pressure fields. Inclusion of secondary flow tends to weaken both low and high pressure centers, whereas inclusion of stratification intensifies low centers and weakens high centers.

* Current affiliation: Jet Propulsion Lab, California Institute of Technology, Pasadena, California.

Corresponding author address: Dr. Carol S. Hsu, JetPropulsion Laboratory, California Institute of Technology, Mail Stop 300-320, 4800 Oak Grove Drive, Pasadena, CA 91109.

Abstract

A series of 6-h, synoptic, gridded, global surface wind fields with a resolution of 100 km was generated using the dataset of dealiased Seasat satellite scatterometer (SASS) winds produced as described by Peteherych et al. This paper is an account of the construction of surface pressure fields from these SASS synoptic wind fields only, as carried out by different methods, and the comparison of these pressure fields with National Centers for Environmental Prediction (NCEP) analyses, with the pressure fields of the European Centre for Medium-Range Weather Forecasts (ECMWF), and with the special analyses of the Gulf of Alaska Experiment.

One of the methods we use to derive the pressure fields utilizes a two-layer planetary boundary layer (PBL) model iterative scheme that relates the geostrophic wind vector to the surface wind vector, surface roughness, humidity, diabatic and baroclinic effects, and secondary flow. A second method involves the assumption of zero two-dimensional divergence, leading to a Poisson equation (the “balance equation”) in pressure, with the wind field serving as a forcing function.

The pressure fields computed from the SASS winds using a two-layer PBL model closely approximate the NCEP and ECMWF fields. In some cases, the PBL-model-derived pressure fields can detect mesoscale features not resolved in either the NCEP or ECMWF analyses. Balanced pressure fields are much smoother and less well resolved than the PBL-model-derived or NCEP fields. Systematic differences between balanced pressure fields and the PBL-model-derived fields are attributed to the neglect of horizontal divergence in the balance equation. The effect of stratification is found to produce a larger impact than secondary flow or thermal wind effects on the derived pressure fields. Inclusion of secondary flow tends to weaken both low and high pressure centers, whereas inclusion of stratification intensifies low centers and weakens high centers.

* Current affiliation: Jet Propulsion Lab, California Institute of Technology, Pasadena, California.

Corresponding author address: Dr. Carol S. Hsu, JetPropulsion Laboratory, California Institute of Technology, Mail Stop 300-320, 4800 Oak Grove Drive, Pasadena, CA 91109.

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Journal of Applied Meteorology and Climatology

  • Anderson, D., A. Hollingsworth, S. Uppala, and P. Woiceshyn, 1991: A study of the use of scatterometer data in the European Centre for Medium-Range Weather Forecasts operational analysis-forecast model. 2: Data Impact. J. Geophys. Res.,96, 2635–2648.

  • Atlas, R., P. M. Woiceshyn, S. Peteherych, and M. G. Wurtele, 1982: Analysis of satellite scatterometer data and its impact on weather forecasting. Oceans,82, 415–420.

  • Brown, R. A., 1970: A secondary flow model for the planetary boundary layer. J. Atmos. Sci.,27, 742–757.

  • ——, 1972: The infection point instability problem for stratified rotating boundary layers. J. Atmos. Sci.,29, 850–859.

  • ——, 1978: Similarity parameters from first-order closure and data. Bound.-Layer Meteor.,14, 381–396.

  • ——, 1981: Modelling the geostrophic drag coefficient for AIDJEX. J. Geophys. Res.,86, 1989–1994.

  • ——, and T. Liu, 1982: An operational large-scale marine PBL model. J. Appl. Meteor.,21, 261–269.

  • ——, and G. Levy, 1986: Ocean surface pressure fields from satellite sensed winds. Mon. Wea. Rev.,114, 2197–2206.

  • ——, and L. Zeng, 1994: Estimating central pressures of oceanic midlatitude cyclones. J. Appl. Meteor.,33, 1088–1095.

  • ——, and Coauthors, 1982:Surface wind analysis for Seasat. J. Geophys. Res.,87, 3355–3364.

  • Duffy D. G., and R. Atlas, 1986: The impact of SEASAT-A scatterometer data on the numerical prediction of the Queen Elizabeth II storm. J. Geophys. Res.,91, 2241–2248.

  • Endlich, R. M., 1967: An iterative method for altering the kinematic properties of wind fields. J. Appl. Meteor.,6, 837–844.

  • ——, D. E. Wolf, C. T. Carlson, and J. W. Maresca Jr., 1981: Oceanic wind and balanced pressure-height fields derived from satellite measurements. Mon. Wea. Rev.,109, 2009–2016.

  • Harlan, J., Jr., and J. J. O’Brien, 1986: Assimilation of scatterometer winds into pressure fields using a variational method. J. Geophys. Res.,91, 7816–7836.

  • Holton, J. R., 1979: An Introduction to Dynamic Meteorology. 2d ed. Academic Press, 391 pp.

  • Hsu, S. C., and W. T. Liu, 1996: Wind and pressure fields near tropical cyclone Oliver derived from scatterometer observations. J. Geophys. Res.,101, 17 021–17 027.

  • ——, ——, and M. G. Wurtele, 1997: Impact of scatterometer winds on hydrological forcing and convective heating. Mon. Wea. Rev.,125, 1556–1576.

  • Jones, W. L., L. C. Schroeder, D. H. Boggs, E. M. Bracelente, R. A. Brown, G. J. Dome, W. J. Pieson, and F. J. Wentz, 1982: The Seasat-A satellite scatterometer: The geophysical evaluation of remotely sensed wind vectors over the ocean. J. Geophys. Res.,87, 3297–3317.

  • Kondo, J., 1975: Air-sea bulk transfer coeffiecients in diabatic conditions. Bound.-Layer Meteor.,9, 91–112.

  • Lenzen, A. J., D. R. Johnson, and R. Atlas, 1993: Analysis of the impact of Seasat scatterometer data and horizontal resolution on GLA model simulations of the QE II storm. Mon. Wea. Rev.,121, 499–521.

  • Levy, G., and F. S. Tiu, 1990: Thermal advection and stratification effects on surface winds and the low level meridional mass transport. J. Geophys. Res.,95, 20 247–20 257.

  • ——, and R. A. Brown, 1991: Southern Hemisphere synoptic weather from a satellite scatterometer. Mon. Wea. Rev.,119, 2803–2813.

  • Liu, W. T., K. B. Katsaros, and J. A. Businger, 1979: Bulk parameterization of air-sea exchanges of heat and water vapor including the molecular constraints at the interface. J. Atmos. Sci.,36, 1722–1735.

  • McMurdie, L. A., and K. B. Katsaros, 1985: Atmospheric water distribution in a midlatitude cyclone observed by the Seasat Scanning Multichannel Microwave Radiometer. Mon. Wea. Rev.,113, 584–598.

  • Overland, J. E., P. M. Woiceshyn, and M. G. Wurtele, 1980: SEASAT observations of cyclones. Tropical Ocean–Atmos. Newslett.,3, 7.

  • Paulson, C. A., 1970: The mathmatical representation of wind speed and temperature profiles in the unstable atmospheric surface layer. J. Appl. Meteor.,9, 857–886.

  • Peteherych, S., M. G. Wurtele, P. M. Woiceshyn, D. H. Boggs, and R. Atlas, 1984: First global analysis of SEASAT scatterometer winds and potential for meteorological research. Proc. URSI Commission F Symp. and Workshop, Shoresh, Israel, NASA, 575–585.

  • Stoffelen, A. C. M., and G. J. Cats, 1991: The impact ofSeasat-A scatterometer data on high-resolution analyses and forecasts: The development of the QE II storm. Mon. Wea. Rev.,119, 2794–2802.

  • Webb, E. K., 1970: Profile relationships: The log-linear range, and extention to strong stability. Quart. J. Roy. Meteor. Soc.,96, 67–90.

  • Woiceshyn, P. M., Ed., 1979: SEASAT Gulf of Alaska Experiment Workshop, Vol. II, Comparison data base: Conventional marine meteorological and sea surface temperature analyses, Appendices A and B. Jet Propulsion Laboratory Document 622–101. [Available from JPL, 4800 Oak Grove Drive, Pasadena, CA 91109.].

  • ——, M. G. Wurtele, and G. F. Cunningham, 1989: Wave hindcasts forced by scatterometer and other wind fields. Second Int. Workshop on Wave Hindcasting and Forecasting, Vancouver, BC, Canada, 268–277.

  • Wunsch, C., 1978: The North Atlantic general circulation west of 50°W determined by inverse methods. Rev. Geophys. Space Phys.,16, 583–620.

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