全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

New Cloud Detection Index (CDI) for Forecasting the Extreme Rain Events

DOI: 10.4236/ars.2019.81002, PP. 30-39

Keywords: Cloud Detection Index, Water Vapor, Remote Sensing

Full-Text   Cite this paper   Add to My Lib

Abstract:

The water vapor content and clouds play a very significant role in atmospheric conditions. This paper is derived from the new cloud detection index (CDI) which is useful to forecast extreme weather events like heavy or extreme rain. The CDI is retrieved using two crucial elements of cloud formation, the critical humidity and critical water vapor. The cloud thickness is determined by using CDI for a radiosonde site (VABB) located in Mumbai, the western part of India. The obtained results are compared with the cloud thickness required for extreme rain. The outcome of the comparison is discussed in this paper. The cloud detection index is also useful in establishing the atmospheric stability along with another four atmospheric stability indices.



References

[1]  Maestri, T. and Holz, R.E. (2009) Retrieval of Cloud Optical Properties from Multiple Infrared Hyperspectral Measurements: A Methodology Based on a Line-By-Line Multiple-Scattering Code. IEEE Transactions on Geoscience and Remote Sensing, 47, 2413-2426.
https://doi.org/10.1109/TGRS.2009.2016105
[2]  Maghrabi, A. and Al Dajani, H.M. (2013) Estimation of Precipitable Water Vapour Using Vapour Pressure and Air Temperature in an Arid Region in Central Saudi Arabia. Journal of the Association of Arab Universities for Basic and Applied Sciences, 14, 1-8.
https://doi.org/10.1016/j.jaubas.2012.11.001
[3]  Miller, R.C. (1972) Notes on Analysis and Severe-Storm Forecasting Procedures of the Air Force by Global Weather Central.
[4]  Hirsch, E., Agassi, E. and Koren, I. (2011) A Novel Technique for Extracting Clouds Base Height Using Ground Based Imaging. Atmospheric Measurement Techniques, 4, 117-130.
https://doi.org/10.5194/amt-4-117-2011
[5]  DeRuberts, D. (2006) Recent Trends in Four Common Stability Indices Derived from U.S. Radiosonde Observations. Journal of Climate, 19, 309-323.
https://doi.org/10.1175/JCLI3626.1
[6]  Gottlieb, R.J. (2009) Analysis of Stability Indices for Severe Thunderstorms in the Northeastern United States. Honors Thesis, Cornell University, Ithaca, 23 p.
[7]  Shukla, K.K., Niranjan Kumar, K., Phanikumar, D.V., et al. (2016) Identification of the Cloud Base Height over the Central Himalayan Region: Intercomparison of Ceilometer and Doppler Lidar. Atmospheric Measurement Techniques, 1-26.
https://doi.org/10.5194/amt-2016-162
[8]  Westwater, E.R., Han, Y., Shupe, M.D. and Matrosov, S.Y. (2001) Analysis of Integrated Cloud Liquid and Precipitable Water Vapor Retrievals from Microwave Radiometers during the Surface Heat Budget of the Arctic Ocean Project. Journal of Geophysical Research: Atmospheres, 106, 32019-32030.
https://doi.org/10.1029/2000JD000055
[9]  Rossow, W.B. and Schiffer, R.A. (1999) Advances in Understanding Clouds from ISCCP. Bulletin of the American Meteorological Society, 80, 2261-2287.
https://doi.org/10.1175/1520-0477(1999)080<2261:AIUCFI>2.0.CO;2
[10]  Salonen, E. and Uppala, S. (1991) New Prediction Method of Cloud Attenuation. Electronics Letters, 27, 29-31.
https://doi.org/10.1049/el:19910687
[11]  Yuan, F., Lee, Y.H., Meng, Y.S. and Ong, J.T. (2016) Water Vapor Pressure Model for Cloud Vertical Structure Detection in Tropical Region. IEEE Transactions on Geoscience and Remote Sensing, 54, 5875-5883.
https://doi.org/10.1109/TGRS.2016.2574744
[12]  Jenamani, R.K., Bhan, S.C. and Kalsi, S.R. (2006) Observational/Forecasting Aspects of the Meteorological Event That Caused a Record Highest Rainfall in Mumbai. Current Science, 90, 1344-1362.
https://doi.org/10.1016/j.neucom.2007.07.014

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133