Assessment of error in synoptic-scale diagnostics derived from wind profiler and radiosonde network data

Monthly Weather Review

Volumn 124, Issue 7, 1996, Pages 1521-1534

  Mace, Gerald G ^a   Ackerman, Thomas P ^a  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0000190883     PISSN: 00270644     EISSN: None     Source Type: Journal    
DOI: 10.1175/1520-0493(1996)124<1521:AOEISS>2.0.CO;2     Document Type: Article

References (18)

1. Akima, H., 1978: A method of bivariate interpolation and smooth surface fitting for values given at irregularly distributed points. ACM Trans. Math. Software, 4, 148-159.
2. _, 1984: On estimating partial derivatives for bivariate interpolation of scattered data. Rocky Mt. J. Math., 14, 41-52.
3. Bellamy, J. C., 1949: Objective calculations of divergence, vertical velocity and vorticity. Bull. Amer. Meteor. Soc., 30, 45-49.
4. Belt, C. L., and H. E. Fuelberg, 1982: Effects of random errors in rawinsonde data on derived kinematic quantities. Mon. Wea. Rev., 110, 91-101.
5. Benjamin, S. G., 1989: An isentropic meso-alpha scale analysis system and its sensitivity to aircraft and surface observations. Mon. Wea. Rev., 117, 1586-1605.
6. Davies-Jones, R., 1993: Useful formulas for computing divergence, vorticity, and their errors from three or more stations. Mon. Wea. Rev., 121, 713-725.
7. Doswell, C. A., III, and F. Caracena, 1988: Derivative estimation from marginally sampled vector point functions. J. Atmos. Sci., 45, 242-253.
8. Endlich, R. M., and J. R. Clark, 1963: Objective computation of some meteorological quantities. J. Appl. Meteor., 2, 66-81.
9. FIRE Project Office, 1995: FIRE cirrus intensive field observations II: Operations plan, 113 pp. [Available from FIRE Project Office, MS 483, NASA Langley Research Center, Hampton, VA 23665-5225.]
10. Holton, J. R., 1979: An Introduction to Dynamic Meteorology. Academic Press Inc., 391 pp.
11. Kaylor, R. E., 1977: Filtering and decimation of digital time series. Tech. Note BN850, Institute for Physical Science and Technology, University of Maryland, College Park, MD, 42 pp.
12. Mace, G. G., D. O'C. Starr, T. P. Ackerman, and P. Minnis, 1995: Examination of coupling between an upper-tropospheric cloud system and synoptic-scale dynamics diagnosed from wind profiler and radiosonde data. J. Atmos. Sci., 52, 4094-4127.
13. Michaels, P., 1994: Estimating advective tendencies from field measurements. Mon. Wea. Rev., 122, 2202-2209.
14. Stokes, G. M., and S. E. Schwartz, 1994: The Atmospheric Radiation Measurement (ARM) Program: Programmatic background and design of the cloud and radiation test bed. Bull. Amer. Meteor. Soc., 75, 1201-1221.
15. Strauch, R. G., B. L. Weber, A. S. Frisch, C. G. Little, D. A. Merritt, K. P. Moran, and D. C. Welsh, 1987: The precision and relative accuracy of profiler wind measurements. J. Atmos. Oceanic Technol., 4, 563-571.
16. Thiebaux, H. J., and M. A. Pedder, 1987: Spatial Objective Analysis, with Applications in Atmospheric Science. Academic Press Inc., 299 pp.
17. Zamora, R. J., M. A. Shapiro, and C. A. Doswell III, 1987: The diagnosis of upper-tropospheric divergence and ageostrophic wind using profiler wind observations. Mon. Wea. Rev., 115, 871-884.
18. _, B. L. Weber, and D. C. Welsh, 1994: The accuracy of divergence estimates calculated using the linear vector point function method and three profilers. Mon. Wea. Rev., 122, 2603-2606.