Journal of Earth System Science

, Volume 120, Issue 2, pp 311–319 | Cite as

Atmospheric stability index using radio occultation refractivity profiles

  • D Jagadheesha
  • B Manikiam
  • Neerja Sharma
  • P K Pal
Article

Abstract

A new stability index based on atmospheric refractivity at ~500 hPa level and surface measurements of temperature, pressure and humidity is formulated. The new index named here as refractivity based lifted index (RLI) is designed to give similar results as traditionally used lifted index derived from radiosonde profiles of temperature, pressure and humidity. The formulation of the stability index and its comparison with the traditional temperature profile based lifted index (LI) is discussed. The index is tested on COSMIC radio occultation derived refractivity profiles over Indian region. The forecast potential of the new index for rainfall on 2°×2° latitude–longitude spatial scale with lead time of 3–24 hours indicate that the refractivity based lifted index works better than the traditional temperature based lifted index for the Indian monsoon region. Decreasing values of RLI tend to give increasing rainfall probabilities.

Keywords

Radio occultation; lifted index; atmospheric stability; rainfall nowcasting. 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Anthes R A and Coauthors 2008 The COSMIC/ FORMOSAT-3 mission: Early results; Bull. Amer. Meteor. Soc. 89 313–333.CrossRefGoogle Scholar
  2. Galway J G 1956 The lifted index as a predictor of latent instability; Bull. Amer. Meteor. Soc. 37 528–529.Google Scholar
  3. Gorbunov M E and Sokolovskiy S 1993 Remote sensing of refractivity from space for global observations of atmospheric parameters; Max Planck Institute for Meteorology Rep. 199, 58 pp.Google Scholar
  4. Gorbunov M E and Kornblueh L 2003 Principles of variational assimilation of GNSS radio occultation data; Max Planck Insitute for Meteorology Rep. 350, 34 pp.Google Scholar
  5. Healy S and Eyre J 2000 Retrieving temperature, water vapor and surface pressure information from refractive-index profiles derived by radio occultation: A simulation study; Quart. J. Roy. Meteor. Soc. 126 1661–1683.CrossRefGoogle Scholar
  6. Huffman G J, Adler R F, Stocker E F, Bolvin D T and Nelkin E J 2003 Analysis of TRMM three-hourly multi satellite precipitation estimates computed in real and post-real time; Combined preprints CD-ROM, 83rd AMS annual meeting Paper P4.11 in 12th Conference on Satellite Meteorology and Oceanography, 9–13 February 2003, Long Beach, CA, 2003.Google Scholar
  7. Jagadheesha D, Simon B, Pal P K, Joshi P C and Maheshwari A 2009 A new technique for estimation of lower-tropospheric temperature and water vapor profiles from radio occultation refractivity; J. Atmos. Oceanic Technol. 26 1075–1089.CrossRefGoogle Scholar
  8. Jensen A S, Lohmann M S, Benson H-H and Nielsen A S 2003 Full spectrum inversion of radio occultation signals; Radio Sci. 38 1040, doi: 10.1029/2002RS0027/63.CrossRefGoogle Scholar
  9. Kistler R, Kalnay E and Coauthors 2000 The NCEP/NCAR 50-year Reanalysis; Bull. Amer. Meteor. Soc. 82 247–267.CrossRefGoogle Scholar
  10. Kuo Y-H, Wee T-K, Sokolovskiy S, Rocken C, Schreiner W, Hunt D and Anthes R A 2004 Inversion and error estimation of GPS radio occultation data; J. Meteor. Soc. Japan 82 507–531.CrossRefGoogle Scholar
  11. Nesbitt S W, Zipser E J and Cecil D J 2000 A census of precipitation features in the tropics using TRMM: Radar, ice scattering, and lightning observations; J. Climate (USA) 13 4087.CrossRefGoogle Scholar
  12. O’Sullivan D B, Herman B M, Feng D, Flittner D E and Ward D M 2000 Retrieval of water vapor profiles from GPS/MET radio occultations; Bull. Amer. Meteor. Soc. 81 1031–1040.CrossRefGoogle Scholar
  13. Palmer P, Barnett J, Eyre J and Healy S 2000 A non-linear optimal estimation inverse method for radio occultation measurements of temperature, humidity, and surface pressure; J. Geophys. Res. 105 17,513–17,526.CrossRefGoogle Scholar
  14. Rocken C, Kuo Y H, Schreiner W, Hunt D, Sokolovskiy S and McCormick C 2000 COSMIC system description; Terr. Atmos. Oceanic Sci. 11 21–52.Google Scholar
  15. Schreiner W, Rocken C, Sokolovskiy S, Syndergaard S and Hunt D 2007 Estimates of the precision of GPS radio occultations from the COSMIC/FORMOSAT-3 mission; Geophys. Res. Lett. 34 L04808, doi: 10.1029/2006GL027557.CrossRefGoogle Scholar
  16. Seemann S W, Li J, Menzel W P and Gumley L E 2003 Operational retrieval of atmospheric temperature, moisture, and ozone profiles from MODIS infrared sounders; J. Appl. Meteorol. 42 1072–1091.CrossRefGoogle Scholar
  17. Sharma N, Jagadheesha D, Joshi P C and Pal P K 2009 Atmospheric stability estimation using radio occultation data over India and surrounding region; Indian J. Radio Space Phys. 38 317–325.Google Scholar
  18. Smith E L and Weintraub S 1953 The constants in the equation for atmospheric refractive index at radio frequencies; Proc. IRE 41 1035–1037.CrossRefGoogle Scholar
  19. Sokolovskiy S 2001 Tracking tropospheric radio occultation signals from low earth orbit; Radio Sci. 36 483–498.CrossRefGoogle Scholar
  20. Sokolovskiy S, Rocken C, Hunt D, Schreiner W, Johnson J, Masters D and Esterhuizen S 2006 GPS profiling of the lower troposphere from space: Inversion and demodulation of the open loop radio occultation signals; Geophys. Res. Lett. 33 L14816, doi: 10.1029/2006GL026112.CrossRefGoogle Scholar
  21. Von Engeln A, Nedoluha G, Kirchengast G and Buhler S 2003 One dimensional variational (1-D Var) retrieval of temperature, water vapor, and a reference pressure from radio occultation measurements: A sensitivity analysis; J. Geophys. Res. 108 4337–4349.CrossRefGoogle Scholar

Copyright information

© Indian Academy of Sciences 2011

Authors and Affiliations

  • D Jagadheesha
    • 1
  • B Manikiam
    • 2
  • Neerja Sharma
    • 3
  • P K Pal
    • 4
  1. 1.Atmospheric Science ProgrammeIndian Space Research Organization (ISRO) Head QuartersBangaloreIndia
  2. 2.Department of PhysicsTumkur UniversityTumkurIndia
  3. 3.Atmospheric Sciences and Oceanography GroupNational Remote Sensing CentreBalanagarIndia
  4. 4.Meteorology and Oceanography Group, Remote Sensing Applications Area, Space Applications CentreAhmedabadIndia

Personalised recommendations