Skip to main content
Log in

Use of Surface Observations to Estimate Upper Air Humidity for the Objective Analysis of Relative Humidity over Indian Region

  • Published:
Advances in Atmospheric Sciences Aims and scope Submit manuscript

ABSTRACT

In the present study objective analyses of relative humidity (RH) at surface and at the levels of 850, 700 and 500 hPa have been made using Gandin's (1963) optimum interpolation scheme. As the horizontal resolution of the radiosonde stations is rather inadequate for upper air humidity analysis, a scheme has been developed, following Rasmussen (1982) to estimate the upper air RH from the surface observations like surface RH, present weather and cloud cover. The relative humidities at the levels 850, 700 and 500 hPa were related to the surface observations through three separate regression relations. The RH values at 850, 700 and 500 hPa levels were estimated from the surface RH, cloud coverage and present weather using the above regression relations and subsequently the objective analyses at 00 GMT for the period from 4 July to 8 July 1979, were made using these estimated data along with the observed radiosonde data. Objective analyses were also made for the same period using only the radiosonde data for comparison to study the impact of those estimated data. Root mean square errors wore computed for all the five days by interpolating RH at the observing stations from the objectively analysed field and comparing them with the actually observed RH to examine how best the analyses (with and without estimated data) fitted the observations. Lastly they were compared with satellite cloud pictures. This study shows that the estimated upper air RH values have positive impact on the analysis of upper air RH and could be used over radiosonde data sparse region and even over oceanic regions.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Atkins, M. J. (1474), The objective analysis of relative humidity, Tellus, 26: 663–671.

    Article  Google Scholar 

  • Ball, J, T. and Veigas, K. W. (1968), The analysis of upper level humidity, J. Appl. Meteor., 7: 620–625.

    Article  Google Scholar 

  • Begum, Z. N. et al. (1987), An objective analysis scheme for relative humidity, Mausam, 38: 341–341.

    Google Scholar 

  • Bergman, K. H. and Gordon, D. S. (1979), Regional multivariate optimum interpolation analysis, NMC Office note 203: 48.

    Google Scholar 

  • Chu, R. and Parrish, D. (1977), Humidity saalysis for operational prediction models at the National Meteorological Center, NMC Office note 140: 32.

    Google Scholar 

  • Cressman, G. P. (1959), An operational objective analysis system, Mon. Wea. Rev., 117: 367–374.

    Article  Google Scholar 

  • Gandin, L. S. (1963), The objective analysis of meteorological fields, Israel program for scientific translations, Jervsalam, 242.

    Google Scholar 

  • Jonas, P. R. (1976), The use of surface synoptic data to estimate upper level humidity over the sea, Meteor. Mag., 105: 44–56.

    Google Scholar 

  • Lejenas, H. (1979), Initialization of moisture in primitive equation models, Mon. Wea. Rev., 107: 1299–1305.

    Article  Google Scholar 

  • Norquist, D. C. (1988), Alternative forms of humidity information in global data assimilation, Mon. Wea. Rev., 116: 452–471.

    Article  Google Scholar 

  • Perkey, D. J. (1976), A description and preliminary results from a fine mesh model for forecasting quantitative precipitation, Mon. Wea. Rev., 104: 1513–1526.

    Article  Google Scholar 

  • Rajamani, S.et al. (1983), Objective analysis of wind field over Indian region by optimum interpolation method, Mausam, 34: 43–50.

    Google Scholar 

  • Rasmussen, R. O. (1982), Some techniques for the objective analysis of humidity for regional scale numerical weather prediction, Ph. D. Dissertation, cooprative thesis No.67, Dresal University, 366.

    Google Scholar 

  • Sinha, S. K. et al. (1987), On some aspects of objective analysis of humidity over Indian region by the optimum interpolation method, Advances to Atmospheric Sciences, 4: 332–342

    Article  Google Scholar 

  • Sinha, S. K. et al. (1989), A scheme for objective analysis of wind fiels incorporating multiweighting functions in the optimum interpolation scheme. Advances tie Aremsphertc Sciences, 6: 435–446.

    Google Scholar 

  • Smagorinsky, J. et al, (1970), The relative importance of variables in initial conditions for dynamical weather prediction, Tellus, 22: 141–157.

    Article  Google Scholar 

  • Stephen, W. W, and Thomas W. (1991), A moisture analysis procedure utilizing surface and satellite data, Mon. Wea. Rev., 104, 1989–1999.

    Google Scholar 

  • Tibaldi, S. (1982), The ECMWF humidity analysis and its general impact an global forecasts and on the forecast in the mediterranean area in particular, Rivista di Meteorologia Aeronautica, 42: 309–328.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Additional information

Special Announcement: Starting with Volume 8, 1991, Advances in Atmospheric Sciences will be both published and distributed worldwide by China Ocean Press. For subscription information please contact us directly (see subscription sheet for details).

Rights and permissions

Reprints and permissions

About this article

Cite this article

Sinha, S.K., Talwalkar, D.R., Narkhedkar, S.G. et al. Use of Surface Observations to Estimate Upper Air Humidity for the Objective Analysis of Relative Humidity over Indian Region. Adv. Atmos. Sci. 7, 491–501 (1990). https://doi.org/10.1007/BF03342567

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF03342567

Keywords

Navigation