LONG TERM CLOUD COVER AND SST INVESTIGATION OF THE BLACK SEA
Abstract
One important of satellite remote sensing is the count of cloudy days of a particular region. Cloud cover hampers radiation received from the sun therefore controls LST (land surface, SST (Sea Surface Temperature) accordingly humidity, evaporation, agriculture, aquaculture, tourism, and other human activities.
Present work investigated long term cloud cover of the Black Sea using high resolution 6927 daily and 207 monthly composite AVHRR satellite data from March 1993 to December 2012. The results could give a clue for regional and global climate change to take an action for the feature. Results mapped potential availability of obtaining cloud free images for use of other disciplines.
The results were discussed as well as the geographical planetary factors that determine the climate of the Black Sea basin and in the context of global climate change. The results obtained also for other disciplines (climate, meteorology, oceanography, hydrography, biology, environmental science, agriculture, tourism, such as Industry) will create a data source. SST patterns also revealed oceanographic events which was studied in earlier work too.
Keywords
References
- [1] Ali, A., Quadir, D. A., & Huh, O. K. (1989). Studies of river flood hydrology in Bangladesh with AVHRR data. International Journal of Remote Sensing, 10, 1873-1891.
- [2] Atalay, İ. (2011). Türkiye iklim haritası. Ankara: İnkılap.
- [3] Barale., V., Gower, J. F. R., & Alberotanza, L. (2010). Oceanography from Space. Springer Dordrecht Heidelberg London New York: Springer.
- [4] Bromwich, D. H., Carrasco, J. F., & Stearns, C. R. (1992). Satellite-Observations of Katabatic-Wind Propagation for Great Distances across the Ross Ice Shelf. Monthly Weather Review, 120(9), 1940-1949. doi: Doi 10.1175/1520-0493(1992)120<1940:Sookwp>2.0.Co;2
- [5] Brown, R., Wooster, M., Blake, B., Sear, C., Huntchinson, P., & Stromme, T. (1993, 29 June-2 July ). Use of real time AVHRR (Advanced High Resolution Radiometer) imagery to assess fishery conditions off Namibia. Proceedings of 6th AVHRR Data Users’ Meeting,, 385-392.
- [6] Byrd, G. (1998). Lake Effect Snow. University Corporation for Atmospheric Research. [7] Carey, R. M., & Pritchard, J. (1989). Flooding in Bangladesh. Photogrammetric Engineering Remote Sensing, 55(974).
- [8] Collins, M. J. (1989). Synoptic Ice Motion from Avhrr Imagery - Automated Measurements Versus Wind-Driven Theory. Remote Sensing of Environment, 29(1), 79-85. doi: Doi 10.1016/0034-4257(89)90080-1
- [9] Corel. (2012). Retrieved 2012, from http://www.corel.com/en-eu/
Details
Primary Language
English
Subjects
Metrology, Applied and Industrial Physics
Journal Section
Research Article
Authors
Mehmet Tahir Kavak
This is me
Department of Physics Education , Dicle University
Türkiye
Sabri Karadoğan
Department of Geography, Dicle University
Türkiye
Sedat Karayücel
Department of Aquaculture, Sinop University
Türkiye
Publication Date
December 29, 2016
Submission Date
September 27, 2016
Acceptance Date
-
Published in Issue
Year 2016 Volume: 2 Number: 2







