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
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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: 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).
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Monitoring the Spreading of the Amazon Freshwater Plume by MODIS, SMOS, Aquarius, and TOPAZ
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Spatial Optimal Interpolation of Aquarius Sea Surface Salinity: Algorithms and Implementation in the North Atlantic
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Investigation of Rain Effects on Aquarius Sea Surface Salinity Measurements
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Validation of Aquarius Sea Surface Salinity with In Situ Measurements from Argo Floats and Moored Buoys
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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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A Comparison of the Pac-X Trans-Pacific Wave Glider Data and Satellite Data (MODIS, Aquarius, TRMM and VIIRS)
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Estimating Satellite Salinity Errors for Assimilation of Aquarius and SMOS Data into Climate Models
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A New Algorithm for Sea-Surface Wind-Speed Retrieval Based on the L-band Radiometer Onboard Aquarius
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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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Aquarius Geophysical Model Function and Combined Active Passive Algorithm for Ocean Surface Salinity and Wind Retrieval
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