Validation of integrated potential fishing zone (IPFZ) forecast using satellite based chlorophyll and sea surface temperature along the east coast of India

2007 ◽  
Vol 28 (12) ◽  
pp. 2683-2693 ◽  
Author(s):  
S. B. Choudhury ◽  
B. Jena ◽  
M. V. Rao ◽  
K. H. Rao ◽  
V. S. Somvanshi ◽  
...  
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
East Coast ◽  
Sea Surface ◽  
East Coast Of India ◽  
Potential Fishing Zone

scholarly journals Time Series Analysis Of Primary Productivity Along The East Coast Of India Using Oceansat-2 Ocean Colour Monitor (O cm)

2014 ◽  
Vol XL-8 ◽  
pp. 1049-1053 ◽  
Author(s):  
E. Lakshmi ◽  
D. Pratap ◽  
P. V. Nagamani ◽  
K. H. Rao ◽  
T. Preethi Latha ◽  
...  
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Primary Productivity ◽  
East Coast ◽  
Sea Surface ◽  
Ocean Colour ◽  
Remotely Sensed Data ◽  
Initial Attempt ◽  
Common Input ◽  
East Coast Of India

Primary Productivity is the ultimate source of energy for all organisms in an ecosystem. It is associated with the food production and the global carbon cycle. Sensors on remote platforms (satellites) are capable of estimating the Chlorophyll-<i>a</i> concentration in surface waters by measurement of spectral changes of the upwelling light. From these data, which connected with other remotely sensed data, it is possible to use algorithms to estimate the primary production. In this paper, an initial attempt is made to estimate the Primary Productivity along the east coast of India. Vertically Generalized Productivity Model (VGPM) which is a depth (euphotic depth) integrated model is used for the estimation. The common input variables or geophysical parameters used for the model are chlorophyll-<i>a</i> concentration (chl-<i>a</i>), vertically diffuse attenuation coefficient (Kd-490), Photosynthetically Available Radiation (PAR), and Sea Surface Temperature (SST). The chlorophyll-<i>a</i> and Kd-490 parameters were estimated using Oceansat-2 OCM data whereas PAR and SST were taken from MODIS-aqua data. Oceansat-2 Ocean Colour Monitor (OCM) data for the year 2013 is used in the analysis to compute the primary productivity using the weekly (8-day) data products of all the parameters as mentioned above. These products were inter compared with the MODIS Weekly (8-day) Primary Productivity products which were estimated at a global scale using the modified Vertically Generalized Productivity Model (VGPM) with which uses the exponential function of Sea surface temperature (SST).

scholarly journals Influence of Sea Surface Temperature on the Gonadal Development of Sea Urchin Temnopleurus Toreumaticus from the Gulf of Mannar, South East Coast of India

2016 ◽  
Vol 11 (1) ◽  
pp. 133-141
Author(s):  
Raju Saravanan ◽  
Paulraj Jawahar ◽  
Thommai Francis ◽  
Baboonsundaram Ahilan ◽  
Rajagopal Santhakumar
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Sea Urchin ◽  
East Coast ◽  
Abiotic Factors ◽  
Gonad Index ◽  
Gonadal Development ◽  
Sea Surface ◽  
Gulf Of Mannar ◽  
East Coast Of India

This study was conducted for a 20 months period from October 2013 to May 2015 in Gulf of Mannar, south east coast of India. During the investigation the abiotic factors viz., Sea surface temperature (SST), Daylight photoperiod and atmospheric temperature data were collected from International comprehensive Ocean Atmospheric Database (ICOADS) and the reproductive cycle of the sea urchin was studied from the monthly sampling of sea urchin collected from Vedalai landing centre in Gulf of Mannar. The gonads were studied to calculate Gonad index as well histological to categories them into four different stages of the development and this data was compared with abiotic factors to study the influence of it on the reproductive behavior of sea urchin. The data were analyzed statistically through Pearson correlation and it was found negative between mean monthly gonad index and day length photoperiod, as well as with SST. This clearly indicates that the gonadal development in sea urchin is very much influenced by these two abiotic factors; however other nutritional factors might play greater role in the development gonad.

Long-Term Variations of the Sea Surface Temperature in the East Coast of Korea

2014 ◽  
Vol 20 (6) ◽  
pp. 601-608 ◽  
Author(s):  
Sang-Woo Kim ◽  
◽  
Jin-Wook Im ◽  
Byung-Sun Yoon ◽  
Hee-Dong Jeong ◽  
...  
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
East Coast ◽  
Sea Surface ◽  
Long Term Variations

scholarly journals Long-Term Sea Surface Temperature Variability along the U.S. East Coast

2010 ◽  
Vol 40 (5) ◽  
pp. 1004-1017 ◽  
Author(s):  
R. Kipp Shearman ◽  
Steven J. Lentz
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
East Coast ◽  
Atmospheric Temperature ◽  
Coastal Ocean ◽  
Temperature Trend ◽  
Sea Surface ◽  
Temperature Trends ◽  
Cape Hatteras

Abstract Sea surface temperature variations along the entire U.S. East Coast from 1875 to 2007 are characterized using a collection of historical observations from lighthouses and lightships combined with recent buoy and shore-based measurements. Long-term coastal temperature trends are warming in the Gulf of Maine [1.0° ± 0.3°C (100 yr)−1] and Middle Atlantic Bight [0.7° ± 0.3°C (100 yr)−1], whereas trends are weakly cooling or not significant in the South Atlantic Bight [−0.1° ± 0.3°C (100 yr)−1] and off Florida [−0.3° ± 0.2°C (100 yr)−1]. Over the last century, temperatures along the northeastern U.S. coast have warmed at a rate 1.8–2.5 times the regional atmospheric temperature trend but are comparable to warming rates for the Arctic and Labrador, the source of coastal ocean waters north of Cape Hatteras (36°N). South of Cape Hatteras, coastal ocean temperature trends match the regional atmospheric temperature trend. The observations and a simple model show that along-shelf transport, associated with the mean coastal current system running from Labrador to Cape Hatteras, is the mechanism controlling long-term temperature changes for this region and not the local air–sea exchange of heat.

scholarly journals Sea level pressure response to the specification of eddy-resolving sea surface temperature in simulations of Australian east coast lows

2016 ◽  
Vol 1 (1) ◽  
Author(s):  
Christopher R S Chambers ◽  
Gary B Brassington ◽  
Jinyu Sheng ◽  
Ian Simmonds ◽  
Kevin Walsh
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Sea Level ◽  
Time Scales ◽  
East Coast ◽  
Low Pressure ◽  
Sea Surface ◽  
Pressure System ◽  
Sea Level Pressure ◽  
Level Pressure

Four east coast lows (ECLs) were simulated with the Weather Research and Forecast model to investigate the influence of the sea surface temperature (SST) distribution on the sea level pressure (SLP). Each ECL was simulated with two different SST datasets: the Bluelink SST field and NCEP skin temperature field. The former resolved eddies in the East Australian Current while the latter did not. The simulated SLP fields in the eddy-resolving SST runs were compared with those in the non-eddy-resolving SST runs. On time-scales of about 48 hours, higher SSTs were asso-ciated with lower SLPs. The spatial scale of the SLP response was similar to that of the ocean eddies, indicative of the rapidity and robustness of the response given the rapidly evolving conditions within the storms. On shorter time-scales, the SLP response to SST change can become substantially larger. The largest reductions in SLP in the eddy-resolving SST runs were associated with regions of deep atmospheric convection that warm the tropospheric column. These areas were shown to be related to the SST distribution with the greatest SLP reductions associated with convection over strong SST gradient regions. The landfall of a damaging convective mesoscale low pressure system on 8 June 2007 was also investigated. It was found that a region of strong SST gradients on the southern flank of a large warm ocean eddy was associated with lower pressures at the time of formation of this meso-low. In addition, the only case that simulated the low pressure at the correct time (albeit at not quite the correct location) was the eddy-resolved SST run. It was hy-pothesized that the development of this meso-low that impacted the coast around Newcastle, was enhanced because of the eddy-scale SST distribution at the time.

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