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: 1026 | Category: All
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.
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.
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.
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.
Wen, Z., Shu, W., Sha, J., Zhang, H., Liu, S., Zhang, L., Liu, L., Wang, T., Zhang, Q., and Li, S. (pre-print).
Salinity Inversion of Flat Sea Surface Based on Deep Neural Network
, Space: Science & Technology, 17, doi: 10.34133/space.0080.
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.
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.
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.
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.
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).
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.
Le Vine, D. and de Matthaeis, P. (2023).
Sources of L-Band RFI Determined from Kurtosis Using the SMAP Radiometer
, XXXVth URSI GASS, doi: 10.23919/URSIGASS57860.2023.10265395.
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.
Li, Z., Thompson, E., and A., Chen (2023).
The Uncertainty of IMERG Over the Western Edge of the Eastern Pacific Fresh Pool: An Error Model Based on SPURS-2 Field Campaign Observations
, IEEE Trans. Geosci. Remote Sens., 61, 4104914, doi: 10.1109/TGRS.2023.3306795.
Li, Z., Thompson, E., Behrangi, A., Chen, H., and Yang, J. (2023).
Performance of GPCP Daily Products Over Oceans: Evaluation Using Passive Aquatic Listeners
, Geophys. Res. Lett., 50, e2023GL104310, doi: 10.1029/2023GL104310.
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.
Meissner, T., Wentz, K., Ricciardulli, L., and Wentz, F. (2023).
Passive microwave satellite sensors of the next decade for observing ocean vector winds, temperature, and salinity: WSF-MWI, COWVR, AMSR3, CIMR
, EGU General Assembly 2023, EGU23-3701, doi: 10.5194/egusphere-egu23-3701.
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.
Melnichenko, O., Hacker, P., Potemra, J., Meissner, T., and Wentz, F. (2023).
Multi-Mission Sea Surface Salinity Optimum interpolation (OISSS) Analysis Version 2.0
, ESR Technical Report ESR-TR-2023-001. 26 p.
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.
Montero, M., Reul, N., Montégut, C., Vialard, J., Brachet, S., Guimbard, S., Vandemark, D., and Tournadre, J. (2023).
SSS Estimates From AMSR-E Radiometer in the Bay of Bengal: Algorithm Principles and Limits
, IEEE Trans. Geosci. Remote Sens., 61, 4206921, doi: 10.1109/TGRS.2023.3305203.
Murray, N., Muñoz, A., and Conroy, J. (2023).
Machine Learning Solutions to Regional Surface Ocean δ18O-Salinity Relationships for Paleoclimatic Reconstruction
, Paleoceanogr. Paleoclimatol., 38(9), e2023PA004612, doi: 10.1029/2023PA004612.
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.
Peng, Z., Zhao, T., Shi, J., Kerr, Y., Rodríguez-Fernández, N., Yao, P., and Che, T. (2023).
An RFI-Suppressed SMOS L-Band Multi-Angular Brightness Temperature Dataset Spanning Over a Decade (Since 2010)
, Sci. Data 10, 599, doi: 10.1038/s41597-023-02499-z.
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.
Sandven, S., Spreen, G., Heygster, G., Girard-Ardhuin, F., Farrell, S., Dierking, W., and Allard, R. (2023).
Sea Ice Remote Sensing-Recent Developments in Methods and Climate Data Sets
, Surv. Geophys., doi: 10.1007/s10712-023-09781-0.
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.
Sudhakara, B., Priyadarshini, R., Bhattacharjee, S., Sowmya Kamath, S., Pruthviraj, U., Gangadharan, K., and Ghosh, S. (2023).
Spatio-temporal Analysis and Modeling of Coastal areas for Water Salinity Prediction
, IEEE International Students' Conference on Electrical, Electronics and Computer Science, doi: 10.1109/SCEECS57921.2023.10062985.
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, Q., Zhang, L., Jia, Y., Wang, B., and Li, Sh. (2023).
Development and Prospect of Satellite Remote Sensing Technology for Ocean Dynamic Environment
, J. Spacecr. Rockets, 60(6), doi: 10.2514/1.A35710.
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.
Zheng, Z. (2023).
Impacts of Surface Waves on Turbulence in Ocean Surface Boundary Layers: Observations and Scaling
, Univ. Washington, Ph.D. Thesis.
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.
Bailey, M., Long, D., Bindlish, R., Piepmeier, J. and De Amici, G. (2022).
Enabling Big Science in a Small Satellite - The Global L-band Observatory for Water Cycle Studies (GLOWS) Mission
, Proceedings of the Small Satellite Conference, Science/Mission Payloads, SSC22-III-08. https://digitalcommons.usu.edu/smallsat/2022/all2022/156/.
Bao, D., Hua, D., Qi, H., and Wang, J. (2022).
Investigation of a Raman Scattering Spectral Model for Seawater Containing a Composite Salt Solute
, Opt. Express, 30(5), 6713-6725, doi: 10.1364/OE.450250.
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.
Ceríaco, L., Santos, B., de Lima, R., Bell, R., Norder, S. and Melo, M. (2022).
Physical Geography of the Gulf of Guinea Oceanic Islands
, In: Ceríaco, L.M.P., de Lima, R.F., Melo, M., Bell, R.C. (eds) Biodiversity of the Gulf of Guinea Oceanic Islands. Springer, Cham. https://doi.org/10.1007/978-3-031-06153-0_2.
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).
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The Salinity Retrieval Algorithms for the NASA Aquarius Version 5 and SMAP Version 3 Releases
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The Potential and Challenges of Using Soil Moisture Active Passive (SMAP) Sea Surface Salinity to Monitor Arctic Ocean Freshwater Changes
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Assessing the Dynamics of Organic Aerosols Over the North Atlantic Ocean
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Bay of Bengal Salinity Stratification and Indian Summer Monsoon Intraseasonal Oscillation: 1. Intraseasonal Variability and Causes
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Validation of the SMAP Freeze/Thaw Product Using Categorical Triple Collocation
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Validation of Spaceborne and Modelled Surface Soil Moisture Products with Cosmic-Ray Neutron Probes
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Snow Density and Ground Permittivity Retrieved From L-Band Radiometry: A Retrieval Sensitivity Analysis
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An Idealized Study of Near Equatorial River Plumes
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New Approach for Calculating the Effective Dielectric Constant of the Moist Soil for Microwaves
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Satellite Soil Moisture: Review of Theory and Applications in Water Resources
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