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: 674 | Category: Oceanography
Capuano, T., Herrmann, M., Dobbler, D., Koch-Larrouy, A., Weiss, L., and Maes, C. (pre-print).
River freshwater effects on the South-East Asian ocean dynamics
, pre-print.
Mecking, S., and Drushka, K. (pre-print).
Linking northeastern North Pacific oxygen changes to upstream surface outcrop variations
, pre-print.
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.
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.
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.
Boutin, J., Yueh, S., Bindlish, R., Chan, S., Entekhabi, D., Kerr, Y., Kolodziejczyk, N., Lee, T., Reul, N., and Zribi, M. (2023).
Soil Moisture and Sea Surface Salinity Derived from Satellite-Borne Sensors
, Surv. Geophys., doi: 10.1007/s10712-023-09798-5.
Chang, Y.-L., Varlamov, S., Guo, X., Miyama, T., and Miyazawa, Y. (2023).
July 2020 heavy rainfall in Japan: effect of real-time river discharge on ocean circulation based on a coupled river-ocean model
, Ocean Dyn., 73, 249-265, doi: 10.1007/s10236-023-01551-1.
Chen, Y., Xiao, C., Zhang, Y., and Lai, Z. (2023).
The Mixed Layer Salinity Budget in the Northern South China Sea: A Modeling Study
, J. Mar. Sci. Eng., 11(9), 1693, doi: 10.3390/jmse11091693.
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.
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.
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., 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.
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.
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.
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.
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.
Krishna, K., and Shanmugam, P. (2023).
Robust Estimates of the Total Alkalinity From Satellite Oceanographic Data in the Global Ocean
, IEEE Access, 11, 42824-42838, doi: 10.1109/ACCESS.2023.3271516.
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.
Nair, R.C., KR, M., S, A.A., and PK, D.K. (2023).
Relationship between coral bleaching and large-scale oscillations in the Lakshadweep archipelago
, Ocean Dyn., 73, 463-474, doi: 10.1007/s10236-023-01562-y.
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.
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.
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.
Röthig, T., Trevathan-Tackett, S., Voolstra, C., Ross, C., Chaffron, S., Durack, P., Warmuth, L., and Sweet, M. (2023).
Human-induced salinity changes impact marine organisms and ecosystems
, Glob. Chang. Biol., 29(17), 4731-4749, doi: 10.1111/gcb.16859.
Sims, R., Holding, T., Land, P., Piolle, J.-F., Green, H., and Schutler, J. (2023).
OceanSODA-UNEXE: a multi-year gridded Amazon and Congo River outflow surface ocean carbonate system dataset
, Earth Syst. Sci. Data, 15(6), 2499-2516, doi: 10.5194/essd-15-2499-2023.
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.
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.
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.
Wang, H., Song, J., Zhao, C., Yang, X., Leng, H., and Zhou, N. (2023).
Validation of the multi-satellite merged sea surface salinity in the South China Sea
, J. Ocean. Limnol., doi: 10.1007/s00343-022-2187-x.
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.
Yang, Y., Zeng, L., and Wang, Q. (2023).
Assessment of global eddies from satellite data by a scale-selective eddy identification algorithm (SEIA)
, Clim. Dyn., doi: 10.1007/s00382-023-06946-w.
Yu, L. (2023).
Connecting Subtropical Salinity Maxima to Tropical Salinity Minima: Synchronization Between Ocean Dynamics and the Water Cycle
, Prog. Oceanogr., 219, 103172, doi: 10.1016/j.pocean.2023.103172.
Zhang, H., Liu, Y., Liu, P., Guan, S., Wang, Q., Zhao, W., and Tian, J. (2023).
Enhanced upper ocean response within a warm eddy to Typhoon Nakri (2019) during the sudden-turning stage
, Deep Sea Res. Part I Oceanogr. Res. Pap., 104112, doi: 10.1016/j.dsr.2023.104112.
Zhang, Q., Jia, S., Chen, W., Mao, J., Yang, L., Krishnan, P., Sarkar, S., Shao, M., and Wang, X. (2023).
Contribution of marine biological emissions to gaseous methylamines in the atmosphere: An emission inventory based on multi-source data sets
, Sci. Total Environ., 898, 165285, doi: 10.1016/j.scitotenv.2023.165285.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Ashafahani, A.A., Wirasatriya, A., Pranowo, W.S., Sugianto, D.N., and Maslukah, L. (2021).
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.
Aubone, N., Palma, E., and Piola, A. (2021).
The Surface Salinity Maximum of the South Atlantic
, Prog. Oceanogr., 191, doi: 10.1016/j.pocean.2020.102499.
Barceló-Llull, B., Drushka, K., and Gaube, P. (2021).
Lagrangian Reconstruction to Extract Small-scale Salinity Variability from SMAP Observations
, J. Geophys. Res. Oceans, doi: 10.1029/2020JC016477.
Belkin, I. (2021).
Remote Sensing of Ocean Fronts in Marine Ecology and Fisheries
, Remote Sens. 2021, 13(5), 883, doi: 10.3390/rs13050883.
Belmadani, A., Auger, P.-A., Gomez, K., Maximenko, N., and Cravatte, S. (2021).
Similarities and Contrasts in Stationary Striations of Surface Tracers in Pacific Eastern Boundary Upwelling Systems
, Preprints, 2021060207, doi: 10.20944/preprints202106.0207.v1.
Bingham, F. and Brodnitz, S. (2021).
Sea Surface Salinity Short Term Variability in the Tropics
, Ocean Sci., doi: 10.5194/os-2021-51.
Bingham, F., Brodnitz, S., and Yu, L. (2021).
Sea Surface Salinity Seasonal Variability in the Tropics from Satellites, Gridded In Situ Products and Mooring Observations
, Remote Sens., 13(1), 110, doi: 10.3390/rs13010110.
Bingham, F., Fournier, S., Brodnitz, S., Ulfsax, K., and Zhang, H. (2021).
Matchup Characteristics of Sea Surface Salinity Using a High-Resolution Ocean Model
, Remote Sens., 13(15), 2995, doi: 10.3390/rs13152995.
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.
Chi, J., Qu, T., Du, Y., Qi, J., and Shi, P. (2021).
Ocean Salinity Indices of Interannual Modes in the Tropical Pacific
, Clim. Dyn., doi: 10.1007/s00382-021-05911-9.
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Mapping Offshore Winds Around Iceland Using Satellite Synthetic Aperture Radar and Mesoscale Model Simulations
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Status of Aquarius/SAC-D and Aquarius Salinity Retrievals
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Modeling L-band Brightness Temperature at Dome C in Antarctica and Comparison with SMOS Observations
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Assessment of SMOS and Aquarius/SAC-D Salinity Data Accuracy in the South China Sea: Three Statistical Methods
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Pacific Ocean Surface Freshwater Variability Underneath the Double ITCZ as Seen by Satellite Sea Surface Salinity Retrievals
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Spatial and Temporal Scales of Sea Surface Salinity Variability in the Atlantic Ocean
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Optimum Interpolation Analysis of Aquarius Sea Surface Salinity
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Investigating Decadal Changes in Sea Surface Salinity in Oceanic Subtropical Gyres
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High Resolution Simulation of the Salinity Variability in the Bay of Bengal and Arabian Sea During the Years 1998-2014 Using an Ocean Circulation Model
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The Barrier Layer and Ocean Colour in the Amazon and Orinoco Plume: Competing for the Oceanic Control on Tropical Cyclone Intensity
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Potential Impact of the Colored Amazon and Orinoco Plume on Tropical Cyclone Intensity
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Ice Thickness Effects on Aquarius Brightness Temperatures Over Antarctica
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Observed Interannual Variability of Near-surface Salinity in the Bay of Bengal
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Aquarius L-band Microwave Radiometer: 3 Years of Radiometric Performance and Systematic Effects
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Sensitivity of Aquarius Active and Passive Measurements Temporal Covariability to Land Surface Characteristics
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Influence of Oceanic Features Around Inlet on the Thermohaline Variability in the Cochin Estuary During 2011 and 2012
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How Can Present and Future Satellite Missions Support Scientific Studies that Address Ocean Acidification?
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Dynamics of Ocean Surface Mixed Layer Variability in the Indian Ocean
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Chlorophyll Variability in the Oligotrophic Gyres: Mechanisms, Seasonality and Trends
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Airborne L-band Radiometer Mapping of the Dome-C Area in Antarctica
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Modeling Skin-layer Salinity with an Extended Surface-salinity Layer
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The Role of Arctic Ocean Freshwater During the Past 200 ky
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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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Rain-Induced Near Surface Salinity Stratification and Rain Roughness Correction for Aquarius SSS Retrieval
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An Algorithm for Sea Surface Wind Speed from SAC-D/Aquarius Microwave Radiometer
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Variations of the Tropical Atlantic and Pacific SSS Minimum Zones and their Relations to the ITCZ and SPCZ Rain Bands (1979-2009)
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A Method for Correcting Regional Bias in SMOS Global Salinity Products
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Improvements to a Global Ocean Data Assimilation System Through the Incorporation of Aquarius Surface Salinity Data
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Exploiting the Multiscale Synergy Among Ocean Variables: Application to the Improvement of Remote Sensing Salinity Maps
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Detecting the Surface Salinity Signature of Gulf Stream Cold-Core Rings in Aquarius Synergistic Products
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Small-scale Variability in Sea Surface Salinity and Implications for Satellite-Derived Measurements
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Evolution and Sub-surface Characteristics of a Sea-surface Temperature Filament and Front in the Northeastern Arabian Sea During November-December 2012
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Quality Assessment of Spaceborne Microwave Radiometer Aquarius Data Product Based on Argo Buoy Data
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Sea-surface Salinity Fronts and Associated Salinity Minimum Zones in the Tropical Ocean
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Effect of Snow Surface Metamorphism on Aquarius L-band Radiometer Observations at Dome C, Antarctica
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A SEEK Filter Assimilation of Sea Surface Salinity from Aquarius in an OGCM: Implication for Surface Dynamics and Thermohaline Structure
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Validation of Aquarius Sea Surface Salinity with Argo: Analysis of Error Due to Depth of Measurement and Vertical Salinity Stratification
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Year-to-Year Salinity Changes in the Amazon Plume: Contrasting 2011 and 2012 Aquarius/SAC-D and SMOS Satellite Data
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The Salinity Signature of the Cross-Shelf Exchanges in the Southwestern Atlantic Ocean: Satellite Observations
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