Publications: Oceanography

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: 694 | 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.
Kerry, C., Roughan, M., Keating, S., Gwyther, D., Brassington, G., Siripatana, A., and Souza, J. (pre-print).
Comparison of 4-Dimensional Variational and Ensemble Optimal Interpolation Data Assimilation Systems Using a Regional Ocean Modelling System (v3.4) Configuration of the Eddy-Dominated East Australian Current System
, pre-print.
Mecking, S., and Drushka, K. (pre-print).
Linking northeastern North Pacific oxygen changes to upstream surface outcrop variations
, pre-print.
Shin, J., Kim, D.-W., Kim, S.-H., Lee, G., Kim, B.-K., and Jo., Y.-H. (pre-print).
Gap-Filling Processes on GOCI-Derived Daily Sea Surface Salinity Product for Changjiang Diluted Water Front in the East China Sea
, pre-print.
Li, W., Wang, Z., Lee, G., and Huang, H. (2024).
Ecological and Sediment Dynamics Response to Typhoons Passing from the East and West Sides of the Changjiang (Yangtze River) Estuary and its Adjacent Sea Area
, Mar. Geol., 467, 107188, doi: 10.1016/j.margeo.2023.107188.
Anejinou, O., Ebinne, E., and Ajibola-James, O. (2023).
Automated Retrieval of Sea Surface Salinity from Satellite Data and Investigation of the Spatio-Temporal Variation of Ocean Salinity Across the West and Central African Coasts
, Int. Hydrogr. Rev., 29(2).
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 2011–2019 period
, Dyn. Atmospheres Oceans, 102, 101357, doi: 10.1016/j.dynatmoce.2023.101357.
Ashin, K., Girishkumar, M., D’Asaro, 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.
Bahiyah, A., Wirasatriya, A., Mardiansyah, W., and Iskandar, I. (2023).
Massive SST-Front Anomaly in the Tip of Sumatra Waters Triggered by Extreme Positive IOD 2019 Event
, Int. J. Remote Sens., doi: 10.1080/01431161.2023.2268821.
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.
Hackert, E., Akella, S., Ren, L., Nakada, K., Carton, J., and Molod, A. (2023).
Impact of the TAO/TRITON Array on Reanalyses and Predictions of the 2015 El Niño
, JGR Oceans, 128(11), e2023JC020039, doi: 10.1029/2023JC020039.
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.
Hu, Z., Li, H., and Wang, D. (2023).
Characterizing Tidal Currents and Guangdong Coastal Current Over the Northern South China Sea Shelf Using Himawari-8 Geostationary Satellite Observations
, Earth Space Sci., 10(9), e2023EA003047, doi: 10.1029/2023EA003047.
Jarugula, S., and McPhaden, M. (2023).
Indian Ocean Dipole Affects Eastern Tropical Atlantic Salinity Through Congo River Basin Hydrology
, Commun. Earth Environ., 4, 366, doi: 10.1038/s43247-023-01027-6.
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.
Lekshmi, K., Bharti, R., and Mahanta, C. (2023).
Significance of Physico-Chemical and Biological Parameters on Spatio-Temporal PCO2 Distribution in the Northeastern Indian Ocean
, J. Indian Soc. Remote Sens., doi: 10.1007/s12524-023-01780-3.
Liu, J., Bellerby, R., Zhu, Q., and Ge, J. (2023).
Estimating Sea Surface Salinity in the East China Sea Using Satellite Remote Sensing and Machine Learning
, Earth Space Sci., 10 (11), e2023EA003230, doi: 10.1029/2023EA003230.
Lu, X., Hu, S., Guan, C., Li, M., Sprintall, J., and Wang. F. (2023).
Quantifying the Contribution of Salinity Effect to the Seasonal Variability of the Makassar Strait Throughflow
, Geophys. Res. Lett., 50(21), e2023GL105991, doi: 10.1029/2023GL105991.
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.
Men, Y., Liu, Y., Ma, Y., Wong, K., Tsou, J., and Zhang, Y. (2023).
Remote Sensing Monitoring of Green Tide Disaster Using MODIS and GF-1 Data: A Case Study in the Yellow Sea
, J. Mar. Sci. Eng., 11(12), 2212, doi: 10.3390/jmse11122212.
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.
Prabuwono, A., Kunarso, K., Wirasatriya, A., and Antoni, S. (2023).
Investigation of Chlorophyll-A Variability in Red Sea Using Satellite-based Meteorology and Oceanography Data
, Geographia Technica, 18(2), 238 - 248, doi: 10.21163/GT_ 2023.182.18.
Ratheesh, S., Agarwal, N., and Sharma, R. (2023).
An Observing System Experiment Framework for the Tropical Indian Ocean Salinity: A Case Study Using a Constellation of Three Satellites
, Deep Sea Res. Part II Top. Stud. Oceanogr., 212, 105345, doi: 10.1016/j.dsr2.2023.105345.
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.
Shao, J., Huang, S., Chen, Y., Qi, J., Wang, Y., Wu, S., Liu, R., and Du, Z. (2023).
Satellite-Based Global Sea Surface Oxygen Mapping and Interpretation with Spatiotemporal Machine Learning
, Environ. Sci. Technol., Article ASAP, doi: 10.1021/acs.est.3c08833.
Shee, A., Sil, S., and Gangopadhyay, A. (2023).
Recent Changes in the Upper Oceanic Water Masses over the Indian Ocean using Argo data
, Sci. Rep., 13, 20252, doi: 10.1038/s41598-023-47658-9.
Sherin, V., Girishkumar, M., Shivaprasad, S., Sureshkumar, N., Farrar, J., Athulya, K., Ashin, K., Pattabhi Rama Rao, E., Sengupta, D., Venkatesan, R., and Ravichandran, M. (2023).
Importance of Seasonally Evolving Near-Surface Salinity Stratification on Mixed Layer Heat Budget During Summer Monsoon Intraseasonal Oscillation in the Northern Bay of Bengal in 2019
, JGR Oceans, 128(11), e2023JC019800, doi: 10.1029/2023JC019800.
Shukalo, D., Shulga, T., and Suslin, V. (2023).
Analysis of the Monthly Average Salinity of the Surface Layer of the Sea of Azov, Obtained by Remote Sensing and in situ Measurement Methods
, Proc. SPIE 12780, 29th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 127804A, doi: 10.1117/12.2690983.
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.
Smith, R. and Bigg, G. (2023).
Impact of Giant Iceberg A68A on the Physical Conditions of the Surface South Atlantic, Derived Using Remote Sensing
, Geophys. Res. Lett., 50(18), e2023GL104028, doi: 10.1029/2023GL104028.
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.
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:
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,
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.
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Uncertainty of Aquarius Sea Surface Salinity Retrieved Under Rainy Conditions and its Implication on the Water Cycle Study
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The Impact of the Assimilation of Aquarius Sea Surface Salinity Data in the GEOS Ocean Data Assimilation System
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Estimating Satellite Salinity Errors for Assimilation of Aquarius and SMOS Data into Climate Models
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An In Situ-satellite Blended Analysis of Global Sea Surface Salinity
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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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