The publications on this page are generally focused on NASA satellite-derived studies of sea surface salinity related to ocean circulation, climate, and the water cycle.Publications: 660 | Category: Oceanography
Ashafahani, A.A., Wirasatriya, A., Pranowo, W.S., Sugianto, D.N., and Maslukah, L. (in press).
The Dynamic of Convergence Zone Displacement in Western Pacific Ocean on 2015 Super El Niño Event
, IOP Conf. Ser.: Earth Environ. Sci., 750, 012015, doi: 10.1088/1755-1315/750/1/012015.
Melnichenko, O., Hacker, P., Potemra, J., Meissner, T., and Wentz, F. (2023).
A New Multi-Mission Sea Surface Salinity Optimum Interpolation (OISSS) Analysis for Ocean Research and Applications
, EGU General Assembly 2023, EGU23-3755, doi: 10.5194/egusphere-egu23-3755.
Grodsky, S., Reul, N., and Vandemark, D. (2023).
Sea surface salinity response to variations in the Aleutian Low
, J. Mar. Syst., 240, 103888, doi: 10.1016/j.jmarsys.2023.103888.
Zhang, X., Zhao, N., and Han, Z. (2023).
A Modified U-Net Model for Predicting the Sea Surface Salinity over the Western Pacific Ocean
, Remote Sens., 15(6), 1684, doi: 10.3390/rs15061684.
Paul, N., Sukhatme, J., Gayen, B., and Sengupta, D. (2023).
Eddy-Freshwater Interaction Using Regional Ocean Modeling System in the Bay of Bengal
, J. Geophys. Res. Oceans, 128(4), e2022JC019439, doi: 10.1029/2022JC019439.
Ashin, K., Girishkumar, M., DAsaro, E., Jofia, J., Sherin, V., Sureshkumar, N., and Pattabhi Ram Rao, E. (2023).
Observational evidence of salt finger in the diurnal thermocline
, Sci. Rep., 13, 3627, doi: 10.1038/s41598-023-30564-5.
Westbrook, E., Bingham, F., Fournier, S., and Hayashi, A. (2023).
Matchup Strategies for Satellite Sea Surface Salinity Validation
, Remote Sens., 15(5), 1242, doi: 10.3390/rs15051242.
Roman-Stork, H., Byrne, D., and Leuliette, E. (2023).
MESI: A Multiparameter Eddy Significance Index
, Earth Planet. Sci. Lett., 10(2), e2022EA002583, doi: 10.1029/2022EA002583.
Trott, C. and Subrahmanyam, B. (2023).
Eddy Characteristics and Vertical Structure in the Bay of Bengal during Different Monsoon Regimes
, Remote Sens., 15(4), 1079, doi: 10.3390/rs15041079.
Bingham, F., Brodnitz, S. and Gordon, A. (2023).
Seasonal and interannual Variability of the Subtropical South Indian Ocean Sea Surface Salinity Maximum
, J. Geophys. Res. Oceans, e2022JC018982.
Anoopa Prasad, C., Jossia Joseph, K., Navaneeth, K., Mathew, M., Papa, F., Rohith, B., Venkatesan, R., and Latha, G. (2023).
Characterizing near-surface salinity variability in the northern Bay of Bengal and its potential drivers during extreme freshening years of the 20112019 period
, Dyn. Atmospheres Oceans, 102, 101357, doi: 10.1016/j.dynatmoce.2023.101357.
Jofia, J., Girishkumar, M., Ashin, K., Sureshkumar, N., Shivaprasad, S. and Pattabhi Ram Rao, E. (2023).
Mixed Layer Temperature Budget in the Arabian Sea During Winter 2019 and Spring 2019: The Role of Diapycnal Heat Flux
, J. Geophys. Res. Oceans, 128(2), e2022JC019088, doi: 10.1029/2022JC019088.
Dey, S., and Sil, S. (2023).
Spatio-temporal variability of coastal upwelling using high resolution remote sensing observations in the Bay of Bengal
, Estuar. Coast. Shelf Sci., 282, 108228, doi: 10.1016/j.ecss.2023.108228.
Kim, Y., Han, D., Jang, E., Im, J. and Sung, T. (2023).
Remote Sensing of Sea Surface Salinity: Challenges and Research Directions
, GISci Remote Sens., 60 (1), doi: 10.1080/15481603.2023.2166377.
Conroy, J., Murray, N., Patterson, G., Schore, A., Ikuru, I., Cole, J., Chillagana, D., and Echeverria, F. (2023).
Equatorial Undercurrent Influence on Surface Seawater δ18O Values in the Galápagos
, Geophys. Res. Lett., 50(4), e2022GL102074, doi: 10.1029/2022GL102074.
Vazquez-Cuervo, J., García-Reyes, M. and Gómez-Valdés, J. (2023).
Identification of Sea Surface Temperature and Sea Surface Salinity Fronts along the California Coast: Application Using Saildrone and Satellite Derived Products
, Remote Sens., 15 (2), 484, doi: 10.3390/rs15020484.
Hall, S., Subrahmanyam, B. and Steele, M. (2023).
The Role of the Russian Shelf in Seasonal and Interannual Variability of Arctic Sea Surface Salinity and Freshwater Content
, J. Geophys. Res. Oceans, 128 (1), e2022JC019247, doi: 10.1029/2022JC019247.
Fournier, S., Bingham, F., González-Haro, C., Hayashi, A., Ulfsax Carlin, K., Brodnitz, S., González-Gambau, V. and Kuusela, M. (2023).
Quantification of Aquarius, SMAP, SMOS and Argo-Based Gridded Sea Surface Salinity Product Sampling Errors
, Remote Sens., 15 (2), 422, doi: 10.3390/rs15020422.
Grodsky, S., Reul, N., Bentamy, A. and Vandemark, D. (2023).
Anomalously Fresh Chukchi Sea Surface Salinity in Summer-Autumn 2021
, Remote Sens. Lett., 14 (2), 135-147, doi: 10.1080/2150704X.2022.2164231.
Zanon, F., Cesarano, C., Cotroneo, Y., Fusco, G., Budillon, G. and Aulicino, G. (2022).
Remote Sensing of Sea Surface Salinity: A Bibliometric Analysis
, Adv. Oceanogr. Limnol., 13 (2), doi: 10.4081/aiol.2022.10862.
Dumas, J. and Gilbert, D. (2022).
Comparison of SMOS, SMAP and In Situ Sea Surface Salinity in the Gulf of St. Lawrence
, Atmosphere-Ocean, doi: 10.1080/07055900.2022.2155103.
Liu, H., Nie, X., Wei, Z. and Richter, I. (2022).
Opposite-Sign Sea Surface Salinity Anomalies Over the Northeastern and Southwestern South Atlantic Ocean From 2010 to 2017
, J. Geophys. Res. Oceans, 127, e2022JC019351, doi: 10.1029/2022JC019351.
Ouyang, Y., Zhang, Y., Chi, J., Sun, Q. and Du, Y. (2023).
Deviations of Satellite-measured Sea Surface Salinity Caused by Environmental Factors and Their Regional Dependence
, Rem. Sens. Envir., 285, 113411.
Varna, M., Jithina, A. and Francis, P. (2023).
Characteristics and Dynamics of Mesoscale Eddies in the Eastern Arabian Sea
, Deep Sea Res. Part II Top. Stud. Oceanogr., 207, 105218, doi: 10.1016/j.dsr2.2022.105218.
Supply, A., Boutin, J., Kolodziejczyk, N., Reverdin, G., Lique, C., Vergely, J.-L. and Perrot, X. (2022).
Meltwater Lenses Over the Chukchi and the Beaufort Seas During Summer 2019: From In Situ to Synoptic View
, J. Geophys. Res. Oceans, 127 (12), e2021JC018388, doi: 10.1029/2021JC018388.
Li, W., Wang, Z. and Huang, H. (2022).
Seasonal and Intra-seasonal Variations of Surface Hydrological Parameters over North Yellow Sea and its Implications for Applicability of Quasi-synchronous Ship-based Multi-station Hydrological Investigation Data
, J. Sea Res., 190, 102310, doi: 10.1016/j.seares.2022.102310.
Kim, D.-W., Kim, S.-H., Baek, J.-Y., Lee, J.-S. and Jo, Y.-H. (2022).
GOCI-II Based Sea Surface Salinity Estimation Using Machine Learning for the First-year Summer
, Int. J. Remote Sens., 43 (18), 6605-6623, doi: 10.1080/01431161.2022.2142080.
Le Vine, D., Zhou, Y. and Lang, R. (2022).
Model for Dielectric Constant of Seawater Based on L-Band Measurements With Conductivity by Definition
, IEEE Geosci. Remote Sens. Lett., 19, 1-5, doi: 10.1109/LGRS.2022.3221888.
Zhang, L., Zhang, Y. and Yin, X. (2022).
Aquarius Sea Surface Salinity Retrieval in Coastal Regions Based on Deep Neural Networks
, Rem. Sens. Envir., 284, 113357, doi: 10.1016/j.rse.2022.113357.
Anutaliya, A., Send, U., McClean, J., Sprintall, J., Lankhorst, M., Lee, C., Rainville, L., Priyadarshani, W. and Jinadasa, S. (2022).
Seasonal and Year-To-Year Variability of Boundary Currents and Eddy Salt Flux along the Eastern and Southern Coasts of Sri Lanka Observed by PIES and Satellite Measurements
, J. Phys. Oceanogr., 52 (12), 3015-3031, doi: 10.1175/JPO-D-22-0030.1.
Priyanka, K., Sarangi, R., Shanthi, R., Poornima, D. and Saravanakumar, A. (2022).
Inter-annual and Seasonal Cycle of Satellite Derived Sea Surface Salinity in the Western Bay of Bengal
, Arab. J. Geosci., 15, 1670, doi: 10.1007/s12517-022-10945-2.
Levin, J., Grodsky, S., Vandemark, D., and Wilkin, J. (2022).
Haline Control of Unusually Deep Winter Mixing in the Gulf of Maine Investigated Using a Regional Data-Assimilative Model
, J. Geophys. Res. Oceans, 127 (11), e2021JC018281, doi: 10.1029/2021JC018281.
Wilkin, J., Levin, J., Moore, A., Arango, H., Lopez, A., and Hunter, E. (2022).
A Data-assimilative Model Reanalysis of the U.S. Mid Atlantic Bight and Gulf of Maine: Configuration and Comparison to Observations and Global Ocean Models
, Prog. Oceanogr., 209, 102919, doi: 10.1016/j.pocean.2022.102919.
Sun, Q., Zhang, Y., Du, Y. and Jiang, X. (2022).
Asymmetric Response of Sea Surface Salinity to Extreme Positive and Negative Indian Ocean Dipole in the Southern Tropical Indian Ocean
, J. Geophys. Res. Oceans, 127 (11), e2022JC018986, doi: 10.1029/2022JC018986.
Rainville, L., Lee, C., Arulananthan, K., Jinadasa, S., Fernando, H., Priyadarshani, W. and Wijesekera, H. (2022).
Water Mass Exchanges between the Bay of Bengal and Arabian Sea from Multiyear Sampling with Autonomous Gliders
, J. Phys. Oceanogr., 52(10), 2377-2396, doi: 10.1175/JPO-D-21-0279.1.
Feng, Y., Huang, J., Du, Y., Balaguru, K., Ma, W., Feng, Q., Wan, X., Zheng, Y., Guo, X. and Cai, S. (2022).
Drivers of Phytoplankton Variability in and Near the Pearl River Estuary, South China Sea During Typhoon Hato (2017): A Numerical Study
, J. Geophys. Res. Biosciences, 127 (10), e2022JG006924, doi: 10.1029/2022JG006924.
Le Vine, D., Lang, R., Zhou, Y., Dinnat, E. and Meissner, T. (2022).
Status of the Dielectric Constant of Sea Water at L-Band for Remote Sensing of Salinity
, IEEE Trans. Geosci. Remote Sens., 60, 1-14, doi: 10.1109/TGRS.2022.3207944.
Nayak, A., Vinayachandran, P. and George, J. (2022).
Turbulent dissipation rates across the Summer Monsoon Current
, Ocean Dyn., 72, 695-714, doi: 10.1007/s10236-022-01524-w.
Saxena, H., Sahoo, D., Nazirahmed, S., Rai, D., Khan, M., Sharma,N., Kumar, S. and Sing, A. (2022).
Contribution of Carbon Fixation Toward Carbon Sink in the Ocean Twilight Zone
, Geophys. Res. Lett., 49 (18), e2022GL099044, doi: 10.1029/2022GL099044.
Hu, R. and Zhao, J. (2022).
Sea Surface Salinity Variability in the Western Subpolar North Atlantic Based on Satellite Observations
, Rem. Sens. Envir., 281, 113257, doi: 10.1016/j.rse.2022.113257.
Tang, W., Yueh, S., Fore, A., Vazquez-Cuervo, J., Gentemann, C., Hayashi, A., Akins, A. and García-Reyes, M. (2022).
Using Saildrones to Assess the SMAP Sea Surface Salinity Retrieval in the Coastal Regions
, IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., 15, 7042-7051, doi: 10.1109/JSTARS.2022.3200305.
Essink, S., Hormann, V., Centurioni, L., and Mahadevan, A. (2022).
On Characterizing Ocean Kinematics from Surface Drifters
, J. Atmos. Ocean. Tech., 39 (8), 1183-1198, doi: https://doi.org/10.1175/JTECH-D-21-0068.1.
Liu, J., Wang, D., Zu, T., Huang, K. and Zhang, O. (2022).
Either IOD Leading or ENSO Leading Triggers Extreme Thermohaline Events in the Tropical Central Indian Ocean
, Clim. Dyn., doi: 10.1007/s00382-022-06413-y.
Johnson, G. and Lumpkin, R. (Eds.) (2022).
State of the Climate in 2021: Global Oceans
, Global Oceans [in “State of the Climate in 2021”]. Bull. Amer. Meteor. Soc., 103 (8), S143–S191, https://doi.org/10.1175/BAMS-D-22-0072.1.
Katsura, S., Sprintall, J., Farrar, J.T., Zhang, D. and Cronin, M.F. (2022).
The Barrier Layer Effect on the Heat and Freshwater Balance from Moored Observations in the Eastern Pacific Fresh Pool
, J. Phys. Oceanogr., 52 (8), 1705-1730, doi: 10.1175/JPO-D-21-0243.1.
Kesavakumar, B., Shanmugam, P. and Venkatesan, R. (2022).
Enhanced Sea Surface Salinity Estimates Using Machine-Learning Algorithm With SMAP and High-Resolution Buoy Data
, IEEE Access, 10, 74304-74317, doi: 10.1109/ACCESS.2022.3189784.
Nordmo, T.-A., Kvalsvik, O., Kvalsund, S., Hansen, B., Halvorsen, P., Hicks, S., Johansen, D., Johansen, H. and Riegler, M. (2022).
FishAI: Sustainable Commercial Fishing Challenge
, Nordic Machine Intelligence, 2, 1-3, doi: 10.5617/nmi.9657.
Qi, J., Du, Y., Chi, J., Yi, D., Li, D., and Yin, B. (2022).
Impacts of El Niño on the South China Sea Surface Salinity as seen from Satellites
, Environ. Res. Lett., 17, 054040, doi: 10.1088/1748-9326/ac6a6a.
Zhu, J., Zhang, Y., Cheng, X., Wang, X., Sun, Q., and Du, Y. (2022).
Effect of Mesoscale Eddies on the Transport of Low-salinity Water from the Bay of Bengal into the Arabian Sea during Winter
, Geosci. Lett., doi: 10.21203/rs.3.rs-1606473/v1.
Carlson, M., Ribalet, F., Maidanik, I., Durham, B., Hulata, Y., Ferrón, S., Weissenbach, S., Shamir, N., Goldin, S., Baran, N., Cael, B., Karl, D., White, A., Armbrust, V., and Lindell, D. (2022).
Viruses affect Picocyanobacterial Abundance and Biogeography in the North Pacific Ocean
, Nat. Microbiol. 7, 570–580, doi: 10.1038/s41564-022-01088-x.
Trossman, D., and Bayler, E. (2022).
An Algorithm to Bias-Correct and Transform Arctic SMAP-Derived Skin Salinities into Bulk Surface Salinities
, Remote Sens., 14(6), 1418, doi: 10.3390/rs14061418.
Akhter, S., Qiao, F., Wu, K., Yin, X., Azam Chowdhury, M., Kawser Ahmed, M., and Maksud Kamal, A. (2022).
Spatiotemporal Variations of the Thermohaline Structure and Cyclonic Response in the Northern Bay of Bengal: The Evaluation of a Global Ocean Forecasting System
, J. Sea Res., 182, 102188, doi: 10.1016/j.seares.2022.102188.
Jang, E., Kim, Y., Im, J., Park, Y.-G., and Sung, T. (2022).
Global Sea Surface Salinity via the Synergistic use of SMAP Satellite and HYCOM Data Based on Machine Learning
, Rem. Sens. Envir., 273, 112980, doi: 10.1016/j.rse.2022.112980.
Zhao, J., Wang, Y., Liu, W., Bi, H., Cokelet, E., Mordy, C., Lawrence-Slavas, N., and Meinig, C. (2022).
Sea Surface Salinity Variability in the Bering Sea in 2015-2020
, Remote Sens., 14(3), 758, doi: 10.3390/rs14030758.
Grodsky, S., Reul, N., Bentamy, A., and Vandemark, D. (2022).
Eastward Propagating Surface Salinity Anomalies in the Tropical North Atlantic
, Remote Sens. Lett., 13(4), 334-342, doi: 10.1080/2150704X.2022.2032452.
Vazquez-Cuervo, J., Castro, S., Steele, M., Gentemann, C., Gomez-Valdes, J., and Tang, W. (2022).
Comparison of GHRSST SST Analysis in the Arctic Ocean and Alaskan CoastalWaters Using Saildrones
, Remote Sens., 14(3), 692, doi: 10.3390/rs14030692.
Martínez, J., Gabarró, C., Turiel, A., González-Gambau, V., Umbert, M., Hoareau, N., González-Haro, C., Olmedo, E., Arias, M., Catany, R., Bertino, L., Raj, R.P., Xie, J., Sabia, R., and Fernández, D. (2022).
Improved BEC SMOS Arctic Sea Surface Salinity product v3.1
, Earth Syst. Sci. Data, 14, 1307-323, doi: 10.5194/essd-14-307-2022.
Aulicino, G., Cotroneo, Y., de Ruggiero, P., Buono, A., Corcione, V., Nunziata, F., and Fusco, G. (2022).
Remote Sensing Applications in Satellite Oceanography
, In: Daponte, P., Rossi, G.B., Piscopo, V. (eds) Measurement for the Sea. Springer Series in Measurement Science and Technology. Springer, Cham., doi: 10.1007/978-3-030-82024-4_8.
Chandanpurkar, H., Lee, T., Wang, X., Zhang, H., Fournier, S., Fenty, I., Fukumori, I., Menemenlis, D., Piecuch, C., Reager, J., Wang, O., and Worden, J. (2022).
Influence of Nonseasonal River Discharge on Sea Surface Salinity and Height
, J. Adv. Model. Earth Syst., 14, e2021MS002715, doi: 10.1029/2021MS002715.
Masud-Ul-Alam, M., Khan, M., Barrett, B., and Calle, S. (2022).
Surface Temperature and Salinity in the Northern Bay of Bengal: in situ Measurements Compared with Satellite Oobservations and Model Output
, J. Appl. Remote Sens., 16(1), 018502, doi: 10.1117/1.JRS.16.018502.
Kim, J., Teng, Y.-C., Paturi, S., Vernieres, G., Sluka, T., Zhu, J., Hao, Y., Worthen, D., Li, B., Wang, J., Flampouris, S., Liu, X., Lee, H.-C., Kleist, D., and Tallapragada, V. (2022).
The NOAA-NCEP 40 year Reanalysis with the Next Generation Global Ocean Data Assimilation System (NG-GODAS): 1979 to 2019
, Office note, National Centers for Environmental Prediction (U.S.), 509, doi: 10.25923/26ds-q363.
Sha, J., Li, X., and Yan, X. (2022).
Relative Contributions of Temperature and Salinity to Steric Sea Level Over the South China Sea
, J. Ocean. Limnol., 40, 428-437, doi: 10.1007/s00343-021-1057-2.
Hall, S., Subrahmanyam, B., and Morison, H. (2022).
Intercomparison of Salinity Products in the Beaufort Gyre and Arctic Ocean
, Remote Sens., 14, 71, doi: 10.3390/rs14010071.
Weldeab, S., Rühlemann, C., Ding, Q., Khon, V., Schneider, B., and Gray, W. (2022).
Impact of Indian Ocean Surface Temperature Gradient Reversals on the Indian Summer Monsoon
, Earth Planet. Sci. Lett., 578, 117327, doi: 10.1016/j.epsl.2021.117327.
Meissner, T. and Manaster, A. (2021).
SMAP Salinity Retrievals near the Sea-Ice Edge Using Multi-Channel AMSR2 Brightness Temperatures
, Remote Sens., 13 (24), 5120, doi: 10.3390/rs13245120.
Dash, P., Devkota, M., Mercer, A., and Ambinakudige, S. (2021).
A Geographic Weighted Regression Approach for Improved Total Alkalinity Estimates in the Northern Gulf of Mexico
, Environ. Model. Softw., 148, 105275, doi: 10.1016/j.envsoft.2021.105275.
Broggio, M., Garcia, C., and da Silva, R. (2021).
Evaluation of South Atlantic Thermohaline Properties from BESM-OA2.5 and Three Additional Global Climate Models
, Ocean Coast. Res., 69, doi: 10.1590/2675-2824069.21012mfb.
Olivier, L., Boutin, J., Reverdin, G., Lefèvre, N., Landschützer, P., Speich, S., Karstensen, J., Ritschel, M., and Wanninkhof, R. (2021).
Impact of North Brazil Current Rings on Air-sea CO2 Flux Variability in Winter 2020
, Biogeosciences Discuss. [preprint], doi: 10.5194/bg-2021-269.
Jiang, X., Dong, C., Ji, Y., Wang, C., Shu, Y., Liu, L., and Ji, J. (2021).
Influences of Deep-Water Seamounts on the Hydrodynamic Environment in the Northwestern Pacific Ocean
, J. Geophys. Res. Oceans, 126(12), e2021JC017396, doi: 10.1029/2021JC017396.
Yoon, J.-E., Son, S., and Kim, I.-N. (2021).
Capture of Decline in Spring Phytoplankton Biomass Derived from COVID-19 Lockdown Effect in the Yellow Sea Offshore Waters
, Mar. Pollut. Bull., 174, 113175, doi: 10.1016/j.marpolbul.2021.113175.
Guimbard, S., Reul, N., Sabia, R., Herlédan, S., Khoury Hanna, Z., Piollé, J.-F., Paul, F., Lee, T., Schanze, J., Bingham, F., Le Vine, D., Vinogradova-Shiffer, N., Mecklenburg, S., Scipal, K., and Laur, H. (2021).
The Salinity Pilot-Mission Exploitation Platform (Pi-MEP): A Hub for Validation and Exploitation of Satellite Sea Surface Salinity Data
, Remote Sens., 13, 4600, doi: 10.3390/rs13224600.
Nyadjro, E.S., Foli, B.A.K., Agyekum, K.A., Wiafe, G., and Tsei, S. (2022).
Seasonal Variability of Sea Surface Salinity in the NW Gulf of Guinea from SMAP Satellite
, Remote Sens. Earth Syst. Sci., 5, 83-94, doi.10.1007/s41976-021-00061-2.
Jin, X., He, X., Bai, Y., Wang, D., Zhu, Q., Gong, F., and Pan, D. (2022).
Enhancing Spatial Resolution of Sea Surface Salinity in Estuarine Regions by Combining Microwave and Ocean Color Satellite Data
, IEEE Trans. Geosci. Remote Sens., 19, doi: 10.1109/LGRS.2021.3126399.
Mayer, B., Siegel, H., Gerth, M., Pohlmann, T., Stottmeister, I., Putri, M., and Setiawan, A. (2021).
Physical environment of the Indonesian Seas with focus on the western region
, In: Science for the Protection of Indonesian Coastal Ecosystems (SPICE), Jennerjahn, T., Rixen, T., Irianto, H., and Samiaji, H. (eds.), Elsevier, 13-43, doi: 10.1016/B978-0-12-815050-4.00007-9.
Zhuk, V. and Kubryakov, A. (2021).
Interannual Variability of the Lena River Plume Propagation in 1993–2020 during the Ice-Free Period on the Base of Satellite Salinity, Temperature, and Altimetry Measurements
, Remote Sens., 13, 4252, doi: 10.3390/rs13214252.
Gadi, R., Vinayachandran, P., and Subramani, D. (2021).
Data-driven feature-oriented modeling of Southwest Monsoon Current
, Ocean Model., 168, 101912, doi: 10.1016/j.ocemod.2021.101912.
Chacko, N. and Jayaram, C. (2022).
Response of the Bay of Bengal to super cyclone Amphan examined using synergistic satellite and in-situ observations
, Oceanologia, 64(1), 131-144, doi: 10.1016/j.oceano.2021.09.006.
Vreugdenhil, C. and Gayen, B. (2021).
Ocean Convection
, Fluids, 6(10), 360, doi: 10.3390/fluids6100360.
Dorigo, W., Dietrich, S., Aires, F., Brocca, L., Carter, S., Cretaux, J., Dunkerley, D., Enomoto, H., Forsberg, R., Güntner, A., Hegglin, M. I., Hollmann, R., Hurst, D. F., Johannessen, J. A., Kummerow, C., Lee, T., Luojus, K., Looser, U., Miralles, D. G., Pellet, V., Recknagel, T., Vargas, C. R., Schneider, U., Schoeneich, P., Schröder, M., Tapper, N., Vuglinsky, V., Wagner, W., Yu, L., Zappa, L., Zemp, M., and Aich, V. (2021).
Closing the Water Cycle from Observations across Scales: Where Do We Stand?
, Bull. Amer. Meteorol. Soc., 102 (10), E1897-E1935, doi: 10.1175/BAMS-D-19-0316.1.
Liu, M., Vecchi, G., Soden, B., Yang, W., and Zhang, B. (2021).
Enhanced Hydrological Cycle Increases Ocean Heat Uptake and Moderates Transient Climate Change
, Nat. Clim. Change, 11, 848-853.
Kok, P.H., Wijeratne, S., Akhir, M.F., Pattiaratchi, C., Roseli, N.H., and Mohamad Ali, F.S. (2021).
Interconnection Between the Southern South China Sea and the Java Sea Through the Karimata Strait
, J. Mar. Sci. Eng., 9, 1040, doi: 10.3390/jmse9101040.
Knaff, J., Sampson, C., Kucas, M., Slocum, C., Brennan, M., Meissner, T., Ricciardulli, L., Mouche, A., Reul, N., Morris, M., Chirokova, G., and Caroff, P. (2021).
Estimating Tropical Cyclone Surface Winds: Current Status, Emerging Technologies, Historical Evolution, and a Look to the Future
, Trop. Cyclone Res. Rev., 10(3), 125-150, doi: 10.1016/j.tcrr.2021.09.002.
Mandal, A., Chaudhary, A., Agarwal, N., and Sharma, R. (2021).
Sub-Surface Ocean Structure from Satellite Surface Observations in the North Indian Ocean
, Marine Geodesy, doi: 10.1080/01490419.2021.1974132.
Johnson, G., Reagan, J., Lyman, J., Boyer, T., Schmid, C., and Locarnini, R. (2021).
State of the Climate in 2020 - Salinity
, Global Oceans [in “State of the Climate in 2020”]. Bull. Amer. Meteor. Soc., 102 (8), S159–S164, doi: 10.1175/ BAMS-D-21-0083.1.
Hall, K., Daley, A., Whitehall, S., Sandiford, S., and Gentemann, C. (2021).
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Sensitivity of Aquarius Active and Passive Measurements Temporal Covariability to Land Surface Characteristics
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Comparison of Spaceborne Measurements of Sea Surface Salinity and Colored Detrital Matter in the Amazon Plume
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A Rapid Atmospheric Correction Model for L-band Microwave Radiometer Under the Cloudless Condition
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Modeling L-band Brightness Temperature at Dome C in Antarctica and Comparison with SMOS Observations
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Estimation of Subsurface Temperature Anomaly in the Indian Ocean During Recent Global Surface Warming Hiatus from Satellite Measurements: A Support Vector Machine Approach
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Potential Impact of the Colored Amazon and Orinoco Plume on Tropical Cyclone Intensity
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Detecting the Surface Salinity Signature of Gulf Stream Cold-Core Rings in Aquarius Synergistic Products
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Improving Ocean State by Assimilating SARAL/AltiKa Derived Sea Level and Other Satellite-Derived Data in MITGCM
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Modeling Skin-layer Salinity with an Extended Surface-salinity Layer
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Monitoring the Spreading of the Amazon Freshwater Plume by MODIS, SMOS, Aquarius, and TOPAZ
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Freshening in the South China Sea During 2012 Revealed by Aquarius and In Situ Data
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The Influence of Salinity on Tropical Atlantic Instability Waves
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Multisensor Observations of the Amazon-Orinoco River Plume Interactions with Hurricanes
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Aquarius RFI Detection and Mitigation Algorithm: Assessment and Examples
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Comparison Analysis Between Aquarius Sea Surface Salinity and World Ocean Database In Situ Analyzed Sea Surface Salinity
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Investigation of Rain Effects on Aquarius Sea Surface Salinity Measurements
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The Salinity Signature of the Cross-Shelf Exchanges in the Southwestern Atlantic Ocean: Numerical Simulations
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The Salinity Signature of the Cross-Shelf Exchanges in the Southwestern Atlantic Ocean: Satellite Observations
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Coherent Evidence from Aquarius and Argo for the Existence of a Shallow Low-salinity Convergence Zone Beneath the Pacific ITCZ
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Sea Surface Salinity Variability in the East China Sea Observed by the Aquarius Instrument
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The SailBuoy Remotely-Controlled Unmanned Vessel: Measurements of Near Surface Temperature, Salinity and Oxygen Concentration in the Northern Gulf of Mexico
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Seasonal Salinity Stratifications in the Near-surface Layer from Aquarius, Argo, and an Ocean Model: Focusing on the Tropical Atlantic/Indian Oceans
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The Emission and Scattering of L-band Microwave Radiation from Rough Ocean Surfaces and Wind Speed Measurements from the Aquarius Sensor
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Estimating Satellite Salinity Errors for Assimilation of Aquarius and SMOS Data into Climate Models
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Deriving Sea Surface Salinity and Density Variations from Satellite and Aircraft Microwave Radiometer Measurements: Application to Coastal Plumes Using STARRS
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New Instrument Concepts for Ocean Sensing: Analysis of the PAU-Radiometer
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The Influence of Antenna Pattern on Faraday Rotation in Remote Sensing at L-band
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Aquarius: An Instrument to Monitor Sea Surface Salinity from Space
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DOMEX 2004: An Experimental Campaign at Dome-C Antarctica for the Calibration of Spaceborne Low-Frequency Microwave Radiometers
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Calibration of Passive Microwave Polarimeters that Use Hybrid Coupler-Based Correlators
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