The publications on this page are generally focused on NASA satellite-derived studies of sea surface salinity (SSS) related to ocean circulation, climate, and the water cycle; soil moisture studies; and the technology used to derive SSS from space.Publications: 1078 | Category: All
Ajibola-James, O. and Okeke, F. (pre-print).
Machine learning ARIMA for modelling and forecasting variations in earth’s surface phenomenon using sparse time series satellite data—acase study of sea surface salinity in the Nigerian coastal zone
, Research Square, doi: 10.21203/rs.3.rs-4056329/v1.
Batina, A., and Krtalić, A. (pre-print).
A Review of Remote Sensing Applications for Determining Lake Water Quality
, pre-print.
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.
Carvalho, G.T., Pezzi, L.P., Rodrigues, C., Santini, M.F., Lefèvre, N., and Mejia, C.E. (pre-print).
Spatio-temporal variability of CO2 fluxes in the Atlantic sector of the Southern Ocean
, ESS Open Archive, doi: 10.22541/essoar.171199492.21737443/v1.
Guo, C. and Ye, H. (pre-print).
Quantitative Research of Cutoff Wavenumber and Wave Spectrum for Electromagnetic Scattering Computation with Two-Scale Method
, Preprints, 2023121250, doi: 10.20944/preprints202312.1250.v1.
Liu, S, and Hu., S. (pre-print).
Seeing Through the Sea with Satellites: Reconstructing Ocean Subsurface Temperature and Salinity with Satellite Observations
, Earth Syst. Sci. Data Discuss., [preprint], doi: 10.5194/essd-2024-334.
Madkaiker, K., Rao, A.D., and Joseph, S. (pre-print).
High-Resolution Numerical Modelling of Seasonal Volume, Freshwater, and Heat Transport Along the Indian Coast
, EGUsphere, doi: 10.5194/egusphere-2023-3011.
Opeyemi, A.-J., Okeke, F., and Ojinnaka, O. (pre-print).
Assessment of Variability of Sea Surface Salinity Using Integrated All-Weather Satellite Data in a Tropical Coast (Nigerian Coastal Zone)
, pre-print.
Thouvenin-Masson, C., Boutin, J., Échevin, V., Lazar,A., and Vergely, J.-L. (pre-print).
Interannual variability of Sea Surface Salinity in North-Eastern Tropical Atlantic: influence of freshwater fluxes
, EGUspphere, doi: 10.5194/egusphere-2024-818.
Akhter, S., Qiao, F., Chowdhury, K.M.A., Yin, X., and Ahmed, M.K. (2024).
Simulation of the Upper Oceanic Response to the Super Cyclonic Storm Amphan in the Northern Bay of Bengal
, J. Sea Res., 198, 102484, doi: 10.1016/j.seares.2024.102484.
Caodou-Chaventon, S., Speich, S., Zhang, D., Rocha, C. and Swart, S. (2024).
Oceanic Fronts Driven by the Amazon Freshwater Plume and Their Thermohaline Compensation at the Submesoscale
, J. Geophys. Res. Oceans, 129, e2024JC021326, doi: 10.1029/2024JC021326.
Carrigg, J., Yu, L., Menezes, V.V., and Chen, Y. (2024).
Autumnal Equinox Shift in Arctic Surface Energy Budget: Beaufort-Chukchi Seas Case Study
, J. Geophys. Res. Oceans, 129 (5), e2023JC020788, doi: 10.1029/2023JC020788.
Colliander, A., Hossan, A., Harper, J., Vandecrux, B., Miller, J., Schlegel, N., Marshall, S., and Donlon, C. (2024).
Towards Ice Sheet and Ice Shelf Meltwater Profile Retrieval from Copernicus Imaging Microwave Radiometer (CIMR)
, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-12972, doi: 10.5194/egusphere-egu24-12972.
Cui, R., Cheng, X., Duan, W., Jiang, L., and Zhou, Y. (2024).
Features and mechanisms of sea surface salinity intraseasonal variability in the Northern Bay of Bengal
, Geosci. Lett., 11(20), doi: 10.1186/s40562-024-00334-w.
Dai, J., Bao, S., Lu, J., Wang, H., Zhang, R., Song, H., and Zhou, Y. (2024).
Quality Evaluation of Satellite Sea Surface Salinity Products in the Pacific Ocean
, J. Phys.: Conf. Ser., 2718, 012019, doi: 10.1088/1742-6596/2718/1/012019.
Drushka, K., Westbrook, E., Bingham, F.M., Gaube, P., Dickinson, S., Fournier, S., Menezes, V., Misra, S., Pérez Valentín, J., Rainville, E.J., Schanze, J.J., Schmidgall, C., Shcherbina, A., Steele, M., Thomson, J., and Zippel, S. (2024).
Salinity and Stratification at the Sea Ice Edge (SASSIE): An Oceanographic Field Campaign in the Beaufort Sea
, Earth Syst. Sci. Data, 16(9), 4209-4242, doi: 10.5194/essd-16-4209-2024.
García-Reyes, M., Koval, G., and Vazquez-Cuervo, J. (2024).
Characterizing the California Current System through Sea Surface Temperature and Salinity
, Remote Sens., 16(8), 1311, doi: 10.3390/rs16081311.
Ghazali, M., Saepuloh, A., and Wikantika, K. (2024).
Generating a Monthly Variability of Sea Surface Salinity Based on Source Tracing of Salt Concentration and the Estimated SEBAL-Evaporation
, IOP Conf. Ser.: Earth Environ. Sci., 1350, 012039, doi:10.1088/1755-1315/1350/1/012039.
He, L., Huang, S., Hui, F., and Cheng, X. (2024).
An improved algorithm for retrieving thin sea ice thickness in the Arctic Ocean from SMOS and SMAP L-band radiometer data
, Acta Oceanol. Sin., 43, 127–138, doi: 10.1007/s13131-023-2280-9.
Jin, X., He, X., Shanmugam, P., Ying, J., Gong, F., Zhu, Q., and Pan, D. (2024).
Modeling the Influence of Precipitation on L-Band SMAP Observations of Ocean Surfaces Through Machine Learning Approach
, IEEE J-STARS Journal, 17, 10291 - 10305, doi: 10.1109/JSTARS.2024.3400948.
Kang, S.-Y., Moon, J.-H., Kim, T., Jeon, C., and Song, T. (2024).
Impact of River-Discharged Freshwater on Surface Ocean Environments Revealed by Synergistic Use of Satellite Measurements in the East China Sea
, Estuar. Coast. Shelf Sci., 307, 108909, doi: 10.1016/j.ecss.2024.108909.
Kerry, C.G., Roughan, M., Keating, S., Gwyther, D., Brassington, G., Siripatana, A., and Souza, J.M.A.C. (2024).
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
, Geosci. Model Dev., 17, 2359–2386, doi: 10.5194/gmd-17-2359-2024.
Khadim, F. K., Getirana, A., Bindlish, R., and Kumar, S. (2024).
Statistical associations of basin streamflow on sea surface salinity variability across major global deltas
, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-21205, doi: 10.5194/egusphere-egu24-21205.
Klein, E.S., Baltensperger, A.P., and Welker, J.M. (2024).
Complexity of Arctic Ocean water isotope (δ18O, δ2H) spatial and temporal patterns revealed with machine learning
, Elementa: Science of the Anthropocene, 12(1), 00127, doi: DOI: 10.1525/elementa.2022.00127.
Le Vine, D., Dinnat, E., de Matthaeis, P., and Peng, J. (2024).
Look Angle Correction for SMAP L-Band Radiometer Using Geolocation Measurements
, IEEE Trans. Geosci. Remote Sens., 62, 5301511, doi: 10.1109/TGRS.2024.3405811.
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.
Li, Z., Guo, F., Zhang, Z., and Zhang, X. (2024).
Correction of the SMAP Sea Surface Brightness Temperature and Retrieval of Sea Surface Salinity Incorporating CYGNSS Observables
, IEEE J-STARS Journal, 17, 3226 - 3235, doi: 10.1109/JSTARS.2023.3348880.
Liu, Y., Sangmanee, C., Su, Q., Li, C., Li, Z., Fang, Y., Khokiattiwong, S., and Yu, W. (2024).
Observed Extreme Freshening in the Central Andaman Sea Induced by Strong Positive Indian Ocean Dipole
, J. Geophys. Res. Oceans, 129(1), e2023JC020406, doi: 10.1029/2023JC020406.
Mandal, S. (2024).
Observed Seasonality of M2 and M4 Tidal Currents in the Gulf of Khambhat Using High-Frequency Radars
, Ocean Dyn., 74, 251–265, doi: 10.1007/s10236-024-01601-2.
Mecking, S., and Drushka, K. (2024).
Linking Northeastern North Pacific Oxygen Changes to Upstream Surface Outcrop Variations
, Biogeosciences, 21, 1117–1133, doi: 10.5194/bg-21-1117-2024.
Morozov, E., Frey, D., Salyuk, P., and Budyansky, M. (2024).
Amazon River Plume in the Western Tropical North Atlantic
, J. Mar. Sci. Eng., 12(6), 851, doi: 10.3390/jmse12060851.
Ogut, M., Misra, S., Bosch-Lluis, X., Ramos-Pérez, I., Williamson, R., Chae, C.-S., Colliander, A., and Yueh, S. (2024).
Demonstration of a Combined Active/Passive L-Band Microwave Remote Sensing Airborne Instrument
, IEEE J-STARS Journal, 17, 11134 - 11145, doi: 10.1109/JSTARS.2024.3404852.
Paul, D., Panda, J., Sarkar, A., Kumar, S., Zhu, Y.-J., and Collins, J. (2024).
Comparing the Atmospheric and Ocean Characteristics Associated with Two Distinctly Intensified Pre-monsoon Tropical Cyclones Over the Bay of Bengal
, Q. J. R. Meteorol. Soc., 150 (761), 1926-1952, doi: 10.1002/qj.4682.
Ratheesh, S., Jishad, M., Rajiv, V., Sharma, N., Agarwal, N., and Sharma, R. (2024).
Implication of Errors in Space-Based Sea Surface Salinity Measurement on Ocean State Estimation: An Observing System Simulation Experiment for the Tropical Indian Ocean
, IEEE Trans. Geosci. Remote Sens., 62, 4206706, doi: 10.1109/TGRS.2024.3402824.
Ray, A., Das, S., and Sil, S. (2024).
Role of Anomalous Ocean Warming on the Intensification of Pre-Monsoon Tropical Cyclones Over the Northern Bay of Bengal
, J. Geophys. Res. Oceans, 129(4), e2023JC020527, doi: 10.1029/2023JC020527.
Said, F., Jelenak, Z., Chang, P., Tang, W., Fore, A., Akins, A., and Yueh, S. (2024).
Exploring the Impact of Sea Surface Temperature and Salinity on SMAP Excess Surface Emissivity
, IEEE Trans. Geosci. Remote Sens., 62, 4208611, doi: 10.1109/TGRS.2024.3437238.
Savin, A.S., Krinitskiy, M.A. and Osadchiev, A.A. (2024).
SMAP Sea Surface Salinity Improvement in the Arctic Region Using Machine Learning Approaches
, Moscow Univ. Phys., 78 (Suppl 1), S210–S216, doi: 10.3103/S0027134923070299.
Schanze, J., Gaube, P., Anderson, J., Bingham, F., Drushka, K., Guimbard, S., Lee, T., Reul, N., Sabia, R., and Westbrook, E. (2024).
Sea Surface Salinity in the Arctic Ocean - Results from the NASA SASSIE Field Campaign, Calibration-Validation of Satellite Observations, and Data Outreach
, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-14759, doi: 10.5194/egusphere-egu24-14759.
Shao, J., Huang, S., Chen, Y., Qi, J., Wang, Y., Wu, S., Liu, R., and Du, Z. (2024).
Satellite-Based Global Sea Surface Oxygen Mapping and Interpretation with Spatiotemporal Machine Learning
, Environ. Sci. Technol., 58 (1), 498-509, doi: 10.1021/acs.est.3c08833.
Shi, W. and Wang, M. (2024).
Ocean Variability in the Costa Rica Thermal Dome Region from 2012 to 2021
, Remote Sens., 16(8), 1340, doi: 10.3390/rs16081340.
Shin, J., Kim, D.-W., Kim, S.-H., Lee, G., Khim, B.-K., and Jo, Y.-H. (2024).
Gap-Filling Techniques Applied to the GOCI-Derived Daily Sea Surface Salinity Product for the Changjiang Diluted Water Front in the East China Sea
, Earth Syst. Sci. Data, 16 (7), 3193–3211, doi: 10.5194/essd-16-3193-2024.
Shin, J., Kim, D.-W., Kim, S.-H., Lee, G., Khim, B.-K., and Jo., Y.-H. (2024).
Gap-Filling Techniques on GOCI-Derived Daily Sea Surface Salinity Product for Changjiang Diluted Water Front in the East China Sea
, Earth Syst. Sci. Data, 16, 3193–3211, doi: 10.5194/essd-16-3193-2024.
Sui, L. and Jiang, Y. (2024).
Argo data anomaly detection based on transformer and Fourier transform
, J. Sea Res., 198, 102483, doi: 10.1016/j.seares.2024.102483.
Sundararaman, H., and Shanmugam, P. (2024).
Estimates of the Global Ocean Surface Dissolved Oxygen and Macronutrients from Satellite Data
, Rem. Sens. Envir., 311, 114243, doi: 10.1016/j.rse.2024.114243.
Tozawa, M., Nomura, D., Yamazaki, K., Kiuchi, M., Hirano, D., Aoki, S., Sasaki, H., and Murase, H. (2024).
Oceanographic factors determining the distribution of nutrients and primary production in the subpolar Southern Ocean
, Prog. Oceanogr., 103266, doi: 10.1016/j.pocean.2024.103266.
Wang, J., Li, Y., and Zhou, W. (2024).
Representativeness Error Estimated From SSS Products Based on Quadruple Collocation Analysis
, IEEE Trans. Geosci. Remote Sens., 62, 4207010, doi: 10.1109/TGRS.2024.3415675.
Wen, Z., Shu, W., Sha, J., Zhang, H., Liu, S., Zhang, L., Liu, L., Wang, T., Zhang, Q., and Li, S. (2024).
Salinity Inversion of Flat Sea Surface Based on Deep Neural Network
, Space Sci. Technol., 4, 0080, doi: 10.34133/space.0080.
Yang, Y., Zeng, L., and Wang, Q. (2024).
Assessment of Global Eddies from Satellite Data by a Scale-Selective Eddy Identification Algorithm (SEIA)
, Clim. Dyn., 62, 881–894, doi: 10.1007/s00382-023-06946-w.
Ye, H. (2024).
A Backscattering Model of Rain-Affected Sea Surface With Two-Scale Method
, IEEE Trans. Geosci. Remote Sens., 62, 2005612, doi: 10.1109/TGRS.2024.3428470.
Ye, H., Tang, S., Bai, Y., and Kalhoro, M. (2024).
Estimation of Sea Surface Salinity from MODIS-Aqua Data in the Northern South China Sea
, Reg. Stud. Mar. Sci., 77, 103684, doi: 10.1016/j.rsma.2024.103684.
Zhang, J. and Li, B. (2024).
Validation and Application of Satellite Derived Sea Surface Salinity in the Yangtze River Estuary and its Adjacent Waters
, Proc. SPIE, 12978, Fourth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2023), 1297815, doi: 10.1117/12.3020925.
Zhang, L., Jin, R., Zhang, Q., Wang, R., Zhang, H., and Wen, Z. (2024).
Fusion Method of RFI Detection, Localization, and Suppression by Combining One-Dimensional and Two-Dimensional Synthetic Aperture Radiometers
, Remote Sens., 16(4), 667, doi: 10.3390/rs16040667.
Zhao, Y., He, Z., and Jiang, Y. (2024).
The Inversion of Three-Dimensional Ocean Temperature and Salinity Fields for the Assimilation of Satellite Observations
, J. Mar. Sci. Eng., 12(4), 534, doi: 10.3390/jmse12040534.
Zhou, Y., Duan, W., and Cheng, X. (2024).
Dynamics of Submesoscale Processes and Their Influence on Vertical Heat Transport in the Southeastern Tropical Indian Ocean
, Ocean Dyn., 74, 685-702, doi: 10.1007/s10236-024-01628-5.
Zhu, J., Zhang, Y., Huang, K., Xia, Y., and Du, Y. (2024).
Modulation of Annual Rossby Waves on the Formation of Basin-Wide Salinity Fronts
, J. Geophys. Res. Oceans, 129(4), e2023JC020634, doi: 10.1029/2023JC020634.
Akins, A., Brown, S., Lee, T., Misra, S. and Yueh, S. (2023).
Simulation Framework and Case Studies for the Design of Sea Surface Salinity Remote Sensing Missions
, IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., 16, 1321-1334, doi: 10.1109/JSTARS.2023.3234407.
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.
Bigg, G. and Marsh, R. (2023).
The History of a Cluster of Large Icebergs on Leaving the Weddell Sea Pack Ice and Their Impact on the Ocean
, Antarct. Sci., 35 (3), 176-193, doi: 10.1017/S0954102022000517.
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.
Bora, J. (2023).
Advances in Bayesian Hierarchical Models Motivated by Environmental Applications
, Dissertation, Duke University, 96 pp., Retrieved from https://hdl.handle.net/10161/27623.
Boutin, J., Vergely, J.-L., Bonjean, F., Perrot, X., Zhou, Y., Dinnat, E., Lang, R., Le Vine, D., and Sabia, R. (2023).
New Seawater Dielectric Constant Parametrization and Application to SMOS Retrieved Salinity
, IEEE Trans. Geosci. Remote Sens., 61, 2000813, doi: 10.1109/TGRS.2023.3257923.
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.
Bytheway, J., Thompson, E., Yang, J., and Chen, H. (2023).
Evaluating Satellite Precipitation Estimates Over Oceans Using Passive Aquatic Listeners
, Geophys. Res. Lett., 50(6), e2022GL102087, doi: 10.1029/2022GL102087.
Bytheway, J., Thompson, E., Yang, J., and Chen, H. (2023).
Evaluation of the RainFARM Statistical Downscaling Technique Applied to IMERG over Global Oceans Using Passive Aquatic Listener In Situ Rain Measurements
, J. Hydrometeorol., 24(12), 2351–2367, doi: 10.1175/JHM-D-23-0090.1.
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.
Chi, N.-H., Thompson, E., Chen, H., Shcherbina, A., Bingham, F., and Rainville, L. (2023).
Spatiotemporal Variability of Rainfall and Surface Salinity in the Eastern Pacific Fresh Pool: A Joint In Situ and Satellite Analysis During the SPURS-2 Field Campaign
, J. Geophys. Res. Oceans, 128(12), e2022JC019599, doi: 10.1029/2022JC019599.
Chkrebtii, O., and Bingham, F. (2023).
Automatic Detection of Rainfall at Hourly Time Scales from Mooring Near-Surface Salinity in the Eastern Tropical Pacific
, Artif. Intell. Earth Syst., 2(3), doi: 10.1175/AIES-D-22-0009.1.
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.
Díez-García, R., Camps, A., and Park, H. (2023).
RFI Mitigation in Microwave Radiometry Using the Karhunen-Loève Transform
, IEEE Trans. Geosci. Remote Sens., 61, doi: 10.1109/TGRS.2023.3323678.
Dumas, J., Laliberté, J., and Gilbert, D. (2023).
Satellite SSS : A Monitoring Tool for the Gulf of St. Lawrence?
, Bulletin of the Canadian Meteorolgoical and Oceanographic Society, https://bulletin.cmos.ca/satellite-sss-a-monitoring-tool-for-the-gulf-of-st-lawrence/.
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.
Fournier, S., Reager, J.T., Chandanpurkar, H.A., Pascolini-Campbell, M., and Jarugula, S. (2023).
The Salinity of Coastal Waters as a Bellwether for Global Water Cycle Changes
, Geophys. Res. Lett., 50(24), e2023GL106684, doi: 10.1029/2023GL106684.
Gassen, L., Badewien, T., Ewald, J., Ribas-Ribas, M., and Wurl, O. (2023).
Temperature and Salinity Anomalies in the Sea Surface Microlayer of the South Pacific During Precipitation Events
, J. Geophys. Res. Oceans, 128(6), e2023JC019638, doi: 10.1029/2023JC019638.
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.
Heilingbrunner, J. (2023).
Modelling and Retrieval of Sea Ice Thickness from Microwave Radiometer Satellite Observations
, Thesis, Universität Bremen, 62 pp.
Hoffman, L. (2023).
Freshwater Processes in the Upper Ocean
, Ph.D. Thesis, Univ. of San Diego, 179 pp.
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.
Jin, S., Pan, H., and Xu, T. (2023).
Assessment of the Sea Surface Salinity Simulation and Projection Surrounding the Asian Waters in the CMIP6 Models
, Atmos., 14(4), 726, doi: 10.3390/atmos14040726.
Jin, X., He, X., Wang, D., Ying, J., Gong, F., Zhu, Q., Zhou, C. and Pan, D. (2023).
Impact of Rain Effects on L-Band Passive Microwave Satellite Observations Over the Ocean
, IEEE Trans. Geosci. Remote Sens., 61, 1-16, doi: 10.1109/TGRS.2022.3232402.
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).
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Satellite Soil Moisture: Review of Theory and Applications in Water Resources
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Modelling the Passive Microwave Signature from Land Surfaces: A Review of Recent Results and Application to the L-band SMOS & SMAP Soil Moisture Retrieval Algorithms
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Assimilation of Synthetic Remotely Sensed Soil Moisture in Environment Canada’s MESH Model
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Assessment of Seasonal and Year-to-Year Surface Salinity Signals Retrieved from SMOS and Aquarius Missions in the Bay of Bengal
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A Modeling Study of Processes Controlling the Bay of Bengal Sea Surface Salinity Interannual Variability
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Practical Global Salinity Gradient Energy Potential
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Satellite and In Situ Salinity: Understanding Near-Surface Stratification and Sub-footprint Variability
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Inter-comparison Studies Between High-resolution HYCOM Simulation and Observational Data: The South Atlantic and the Agulhas Leakage System
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Retrieving Soil Moisture for Non-forested Areas Using PALS Radiometer Measurements in SMAPVEX12 Field Campaign
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Understanding the Formation and Evolution of Rain-formed Fresh Lenses at the Ocean Surface
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Studying Earth in the New Millennium: NASA Jet Propulsion Laboratory’s Contributions to Earth Science and Applications Space Agencies
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A Global Surface Drifter Data Set at Hourly Resolution
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A Temperature-Dependent Dielectric Model for Thawed and Frozen Organic Soil at 1.4 GHz
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Seasonal Differences in Forest Height Estimation from Interferometric TanDEM-X Coherence Data
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Aquarius L-band Microwave Radiometer: 3 Years of Radiometric Performance and Systematic Effects
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Surface Salinity in the North Atlantic Subtropical Gyre During the STRASSE/SPURS Summer 2012 Cruise
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Evaluation of Spaceborne L-band Radiometer Measurements for Terrestrial Freeze/Thaw Retrievals in Canada
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How Can Present and Future Satellite Missions Support Scientific Studies that Address Ocean Acidification?
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Monitoring the Spreading of the Amazon Freshwater Plume by MODIS, SMOS, Aquarius, and TOPAZ
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