Variations of sea surface temperature and primary productivity during Heinrich and Dansgaard-Oeschger events in the northeastern Arabian Sea

2001 ◽  
Vol 21 (3) ◽  
pp. 168-175 ◽  
Author(s):  
Sonja Schulte ◽  
Peter Müller
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Primary Productivity ◽  
Arabian Sea ◽  
Sea Surface

scholarly journals A 28-ka history of sea surface temperature, primary productivity and planktonic community variability in the western Arabian Sea

2007 ◽  
Vol 22 (4) ◽  
pp. n/a-n/a ◽  
Author(s):  
Ali Pourmand ◽  
Franco Marcantonio ◽  
Thomas S. Bianchi ◽  
Elizabeth A. Canuel ◽  
Elizabeth J. Waterson
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Primary Productivity ◽  
Arabian Sea ◽  
Sea Surface ◽  
History Of ◽  
Community Variability ◽  
Planktonic Community

Seasonal and Interannual Sea Surface Temperature Variability in the Coastal Cities of Arabian Sea and Bay of Bengal

2004 ◽  
Vol 31 (2) ◽  
pp. 549-560 ◽  
Author(s):  
Tariq Masood Ali Khan ◽  
Dewan Abdul Quadir ◽  
Tad S. Murty ◽  
Majajul Alam Sarker
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Bay Of Bengal ◽  
Arabian Sea ◽  
Temperature Variability ◽  
Sea Surface ◽  
Coastal Cities

scholarly journals STUDY ON CYCLONE INDUCED PHYTOPLANKTON BLOOM IN THE ARABIAN SEA THROUGH GAP-FREE RECONSTRUCTED CHLOROPHYLL-A DATA

2020 ◽  
Vol XLIII-B3-2020 ◽  
pp. 1391-1396
Author(s):  
R. Shunmugapandi ◽  
S. Gedam ◽  
A. B. Inamdar
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Chlorophyll A ◽  
Arabian Sea ◽  
Phytoplankton Bloom ◽  
Suitable Condition ◽  
Sea Surface ◽  
Cyclone Track ◽  
Chl A ◽  
The Impact

Abstract. Ocean surface phytoplankton responses to the tropical cyclone (TC)/storms have been extensively studied using satellite observations by aggregating the data into a weekly or bi-weekly composite. The reason behind is the significant limitations found in the satellite-based observation is the missing of valid data due to cloud cover, especially at the time of cyclone track passage. The data loss during the cyclone is found to be a significant barrier to efficiently investigate the response of chl-a and SST during cyclone track passage. Therefore it is necessary to rectify the above limitation to effectively study the impact of TC on the chlorophyll-a concentration (chl-a) and the sea surface temperature (SST) to achieve a complete understanding of their response to the TC prevailed in the Arabian Sea. Intending to resolve the limitation mentioned above, this study aims to reconstruct the MODIS-Aqua chl-a, and SST data using Data Interpolating Empirical Orthogonal Function (DINEOF) for all the 31 cyclonic events occurred in the Arabian Sea during 2003-2018 (16 years). Reconstructed satellite retrieved data covering all the cyclonic events were further used to investigate the chl-a and SST dynamics during TC. From the results, the exciting fact has been identified that only two TC over the eastern-AS were able to induce phytoplankton bloom. On investigating this scenario using sea surface temperature, it was disclosed that the availability of nutrients decides the suitable condition for the phytoplankton to proliferate in the surface ocean. Relevant to the precedent criterion, the results witnessed that the 2 TC (Phyan and Ockhi cyclone) prevailed in the eastern AS invoked a suitable condition for phytoplankton bloom. Other TC found to be less provocative either due to less intensity, origination region or the unsuitable condition. Thereby, gap-free reconstructed daily satellite-derived data efficiently investigates the response of bio-geophysical parameters during cyclonic events. Moreover, this study sensitised that though several TC strikes the AS, only two could impact phytoplankton productivity and SST found to highly consistent with the chl-a variability during the cyclone passage.

Data-Adaptive Prediction of Sea-Surface Temperature in the Arabian Sea

2011 ◽  
Vol 8 (1) ◽  
pp. 9-13 ◽  
Author(s):  
Neetu ◽  
Rashmi Sharma ◽  
Sujit Basu ◽  
Abhijit Sarkar ◽  
P. K. Pal
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Arabian Sea ◽  
Sea Surface ◽  
Adaptive Prediction ◽  
Data Adaptive
Sign in / Sign up

Export Citation Format

Share Document