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| Author | Title | Year | Publication | Volume | Pages |
|---|---|---|---|---|---|
| Bashmachnikov, I.L.; Fedorov, A.M.; Vesman, A.V.; Belonenko, T.V.; Dukhovskoy, D.S. | Thermohaline convection in the subpolar seas of the North Atlantic from satellite and in situ observations. Part 2: indices of intensity of deep convection | 2019 | 16 | 191-201 | |
| Kumar, V.; Jana, S.; Bhardwaj, A.; Deepa, R.; Sahu, S.K.; Pradhan, P.K.; Sirdas, S.A. | Greenhouse Gas Emission, Rainfall and Crop Production Over North-Western India | 2018 | The Open Ecology Journal | 11 | 47-61 |
| Krishnamurti, T. N.; Karmakar, Nirupam; Misra, Vasubandhu; Nag, Bappaditya; Sahu, Dipak; Dubey, Sarvesh; Haddad, Ziad | Association between upper level diffluence in the Tropical Easterly Jet and the formation of the strongest Atlantic hurricanes in recent years | 2018 | Proceedings of SPIE | 10782 | 10 |
| Xiaobiao Xu, Eric Chassignet | Subpolar-Subtropical Connectivity of the North Atlantic Circulation | 2019 | PHYSICAL OCEANOGRAPHY | ||
| Groenen, D. | The Effects of Climate Change on the Pests and Diseases of Coffee Crops in Mesoamerica | 2018 | Journal of Climatology & Weather Forecasting | 6 | |
| Zhao, X.; Zhou, C.; Xu, X.; Ye, R.; Tian, J.; Zhao, W. | Deep Circulation in the South China Sea Simulated in a Regional Model | 2019 | Ocean Sci. Discuss | ||
| Cabrera, V., D. Solis, G. Baigorria and D. Letson | Managing climate variability in agricultural analysis | 2009 | Ocean Circulation and El Niño: New Research | 163-179 | |
| Meyers, S. D.; Basu, S.; O'Brien, J. J. | TOPEX/Poseidon altimetry captures cycles of the Indian Ocean | 1998 | International WOCE Newsletter | 31 | 41-42 |
| Gentemann, C.L.; Clayson, C.A.; Brown, S.; Lee, T.; Parfitt, R.; Farrar, J.T.; Bourassa, M.; Minnett, P.J.; Seo, H.; Gille, S.T.; Zlotnicki, V. | FluxSat: Measuring the Ocean-Atmosphere Turbulent Exchange of Heat and Moisture from Space | 2020 | Remote Sensing | 12 | 1796 |
| Bhardwaj, A.; Misra, V. | Monitoring the Indian Summer Monsoon Evolution at the Granularity of the Indian Meteorological Sub-divisions using Remotely Sensed Rainfall Products | 2019 | Remote Sensing | 11 | 1080 |
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