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Pandey, A. C.
- Ocean Model Derived Global Surface Circulation and Vertical Velocity
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Authors
Affiliations
1 Nehru Science Center, K. Banerjee Center of Atmospheric and Ocean Studies, University of Allahabad, Allahabad - 211 002, IN
1 Nehru Science Center, K. Banerjee Center of Atmospheric and Ocean Studies, University of Allahabad, Allahabad - 211 002, IN
Source
Journal of Geological Society of India (Online archive from Vol 1 to Vol 78), Vol 76, No 5 (2010), Pagination: 468-478Abstract
In this article, the authors examine Sea surface temperature (SST), Sea surface circulation (SSC) and Vertical velocity (VV) fields from simulation of 25 layers coarse resolution Modular ocean model (MOM version 3.0) with prescribed wind forcing for the region 74.25°S to 65°N, 180°W-180°E.
It is found that distribution of SST simulated by the model shows its consistency with the observed climatology. However, simulated SST in the areas of Arabian Sea, Bay of Bengal, Indonesian Throughflow (ITF) region and east of North America near equator exhibit slight warming with respect to observation, which may be due to model deficiency and forcing problems. Circulation features suggest that one of the strongest current viz. Antarctic circumpolar current (ACC) along with other major current systems viz. Gulf stream current, North and South Pacific current, Agulhas current, Labrador current, Canary current, etc. are captured well by the model. In the Indian Ocean and other ocean basins, current patterns are well captured by the model simulation. Intense upwelling as well as downwelling areas is marked in the horizontal distribution of VV, which is as expected. VV show quasi-stagnant and convergent regions suggesting that floating materials may be accumulated during January/July in the real ocean and wind driven circulation may act as an important contribution for such transport of floating materials in these regions. An attempt has also been made to understand the fluctuations of the SST in NINO 3.4 region during the period of model simulation using SST anomalies.
Keywords
Modular Ocean Model (MOM), Antarctic Circumpolar Current, Vertical Velocity, Sea Surface Current, Sea Surface Temperature, Quasi-Stagnant, Convergent.
- Study of Sulphur and Phosphorus Application on Physical Characteristics of Groundnut (Arachis hypogaea L.) for Sustainable Oil Seed Production in Indo-Gangetic Plains of Eastern Uttar Pradesh
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Authors
Mamta Pandey
1,
A. C. Pandey
1
Affiliations
1 R.B. (P.G.) College, Agra (U.P.), IN
1 R.B. (P.G.) College, Agra (U.P.), IN
Source
International Journal of Agricultural Sciences, Vol 15, No 1 (2019), Pagination: 25-31Abstract
The present experiment was conducted at N.D.U.A. and T., Kumarganj, Faizabad with the objective of, to study the impact of sulphur and phosphorus application on oil content of groundnut (Arachis hypogaea L.) for sustainable oil seed production in the Indo-Gangetic Plains of Eastern Uttar Pradesh. Biochemical analysis was carried out in the departmental laboratory as well as of biochemistry department and C.D.R.I. Lucknow. The experiment was laid out in Factorial Randomized Block Design having sixteen treatment combinations of sulphur and phosphorus levels (0, 20, 30, 40 S/ha and 0, 30, 40, 50 (P2O5/ ha). Phosphorus dose @ 50kg/ha was found more effective. Similarly, highest dose of sulphur gave best response. Yield and yield contributing characters i.e. number of pods/plant, test weight (g), pod yield (q/ha) was affected by various levels of both fertilizers. Sulphur levels affect the oil and oil quality of groundnut.Keywords
Groundnut, Sulphur, Phosphorus, Physical Characteristics.References
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- Automated Assessment of the Extent of Mangroves Using Multispectral Satellite Remote Sensing Data in Google Earth Engine
Abstract Views :53 |
PDF Views:38
Authors
Affiliations
1 Central University of Jharkhand, Department of Geoinformatics, Brambe, Ranchi 835 222, IN
2 Indian Institute of Space Science and Technology, Thiruvananthapuram 695 547, IN
1 Central University of Jharkhand, Department of Geoinformatics, Brambe, Ranchi 835 222, IN
2 Indian Institute of Space Science and Technology, Thiruvananthapuram 695 547, IN
Source
Current Science, Vol 125, No 3 (2023), Pagination: 299-308Abstract
This study on the automatic assessment of mangroves uses geometric, textural parameters and vegetation indices derived from Landsat 8 images utilizing the Google Earth Engine. The extent of Indian mangroves is estimated as 5581 sq. km for 2019, with an overall accuracy (OA) of 86% and kappa coefficient (k) of 0.77. Among the five regions studied, maximum OA was obtained for Mumbai (94%; k = 0.89) and minimum for Godavari (81.625%; k = 0.66). Such automated mapping will benefit effective mangrove monitoring and management with a near real-time accurate estimation of mangroves.Keywords
Automated Mapping, Cloud Platform, Mangrove Ecosystem, Satellite Data.Full Text
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