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Makale detayı · 2016 · article

LONG TERM CLOUD COVER AND SST INVESTIGATION OF THE BLACK SEA

Dergi Middle East Journal of Science (MEJS)
ISSN2536-5312
YÖKSİS OpenAlex Açık erişim · green
Yıl2016
Atıf1OpenAlex
Yüzdelik%15,4
FWCI0,01,00 = dünya ortalaması

Veri kaynağı ayrımı

  • YÖKSİSYÖKSİS makale kaydı
  • YÖKSİS dergi adıMiddle East Journal of Science (MEJS)
  • OpenAlexOpenAlex zenginleştirmesi (özet, atıf, konular)
  • Semantic Scholaratıf sayısı (OpenAlex ile birleştirilmez)

Özet

OpenAlex İngilizce

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.

Konular

Atıflar

OpenAlex cited_by_count. WoS veya Scopus atıf sayısı değildir; o kaynaklar için ayrı kolon yoktur.

1atıfOpenAlex · cited_by_count (önbellek / veritabanı)

Yerel katalogda bu makaleye atıf yapan 2 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).

  1. 2024 Investigating the performance of PBL parametrizations in WRF model for front enhanced SES simulation in istanbul megacityAtıf 1 · OpenAlex
  2. 2024 Investigating the performance of PBL parametrizations in WRF model for front enhanced SES simulation in istanbul megacityAtıf 1 · OpenAlex

Yazarlar

3
  1. MEHMET TAHİR KAVAK 1
  2. SABRİ KARADOĞAN DİCLE ÜNİVERSİTESİ 2
  3. SEDAT KARAYÜCEL SİNOP ÜNİVERSİTESİ 3