The publications on this page are related to the technology used to derive sea surface salinity (SSS) from space. It also includes studies that apply NASA SSS data to topics that are not covered under "Oceanography".Publications: 112 | Category: Related Topics
Batina, A., and Krtalić, A. (pre-print).
A Review of Remote Sensing Applications for Determining Lake Water Quality
, pre-print.
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.
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.
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.
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, 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.
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.
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.
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.
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.
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.
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.
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/.
Heilingbrunner, J. (2023).
Modelling and Retrieval of Sea Ice Thickness from Microwave Radiometer Satellite Observations
, Thesis, Universität Bremen, 62 pp.
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.
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.
Le Vine, D.M. and De Matthaeis, P. (2023).
Characteristics of RFI Determined From Kurtosis Using the SMAP Radiometer
, IEEE Trans. Geosci. Remote Sens., 62, 5300111, doi: 10.1109/TGRS.2023.3338964.
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).
Multi-Mission Sea Surface Salinity Optimum interpolation (OISSS) Analysis Version 2.0
, ESR Technical Report ESR-TR-2023-001. 26 p.
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.
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.
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.
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.
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.
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.
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.
Chung, N., Cram, T., Smith, S., Tsontos, V., Huang, T., Sparling, K., Perez, S., Phyo, W., Ji, Z., and Kuttruff, R. (2022).
Development of a Cloud-based Data Match-Up Service (CDMS) in Support of Ocean Science Applications
, OCEANS 2022, Hampton Roads, 1-6, doi: 10.1109/OCEANS47191.2022.9977163.
Colliander, A., Mousavi, M., Marshall, S., Samimi, S., Kimball, J., Miller, J., Johnson, J., and Burgin, M. (2022).
Ice Sheet Surface and Subsurface Melt Water Discrimination Using Multi-Frequency Microwave Radiometry
, Geophys. Res. Lett., 49(4), e2021GL096599, doi: 10.1029/2021GL096599.
Demir, O., Johnson, J.T., Jezek, K.C., Brogioni, M., Macelloni, G., Kaleschke, L., and Brucker, L. (2022).
Studies of Sea-Ice Thickness and Salinity Retrieval Using 0.5–2 GHz Microwave Radiometry
, IEEE Geosci. Remote Sens. Lett., 60, doi: 10.1109/TGRS.2022.3168646.
Du, Y., Ma, W., Yang, X., and Yang, J. (2022).
Direction Dependence of the Fully Polarimetric Wind-induced Ocean Emissivity at L-band: Modeling and Anisotropy Analyses
, 2021 Photonics & Electromagnetics Research Symposium (PIERS), 2298-2306, doi: 10.1109/PIERS53385.2021.9695020.
Farhad, M., Biswas, S., Rafi, M., Kurum, M. and Gurbuz, A. (2022).
Design and Implementation of a Software Defined Radio-Based Radiometer Operating from a Small Unmanned Aircraft Systems
, 2022 IEEE USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), 17-18, doi: 10.23919/USNC-URSI52669.2022.9887529.
Gómez Martín, J., Saiz-Lopez, A., Cuevas, C., Baker, A., and Fernández, R. (2022).
On the Speciation of Iodine in Marine Aerosol
, J. Geophys. Res. Atmos., 127, e2021JD036081, doi: 10.1029/2021JD036081.
González-Gambau, V., Olmedo, E., Turiel, A., González-Haro, C., García-Espriu, A., Martínez, J., Alenius, P., Tuomi, L., Catany, R., Arias, M., Gabarró, C., Hoareau, N., Umbert, M., Sabia, R., and Fernández, D. (2022).
First SMOS Sea Surface Salinity Dedicated Products over the Baltic Sea
, Earth Syst. Sci. Data, 14, 2343-2368, doi: 10.5194/essd-14-2343-2022.
Gu, C., and Li, H. (2022).
Wave Power Density Hotspot Distribution and Correlation Pattern Exploration in the Gulf of Mexico
, Sustainability, 14, 1158, doi: 10.3390/su14031158.
Jezek, K., Wang, S., Leduc-Leballeur, M., Johnson, J., Brogioni, M., Miller, J., Long, D., and Macelloni, G. (2022).
Relationships Between L-Band Brightness Temperature, Backscatter, and Physical Properties of the Ross Ice Shelf Antarctica
, IEEE Trans. Geosci. Remote Sens., 60, 1-14, doi: 10.1109/TGRS.2022.3218538.
Le Vine, D., Dinnat, E., de Matthaeis, P., and Peng, J. (2022).
The Fourth Stokes Parameter for Geolocation in Passive Microwave Remote Sensing From Space
, IEEE Trans. Geosci. Remote Sens., 60, 1-11, doi: 10.1109/TGRS.2022.3215094.
McCarthy, S., Menezes, V., Fucile, P., Cahoy, K., Dahl, M., Thieu, A., Payne, C., Lindsay, C. and Kacker, S. (2022).
Satellite for Estimating Aquatic Salinity and Temperature (SEASALT) – A Scientific Overview
, Proceedings of the Small Satellite Conference, Science/Mission Payloads, SSC22-WKVII-03, https://digitalcommons.usu.edu/smallsat/2022/all2022/87/.
Mchedlishvili, A., Spreen, G., Melsheimer, C., and Huntemann, M. (2022).
Weddell Sea Polynya Analysis Using SMOS–SMAP Apparent Sea Ice Thickness Retrieval
, Cryosphere, 16, 471–487, doi: 10.5194/tc-16-471-2022.
Ohishi, S., Hihara, T., Aiki, H., Ishizaka, J., Miyazawa, Y., Kachi, M., and Miyoshi, T. (2022).
An ensemble Kalman filter system with the Stony Brook Parallel Ocean Model v1.0
, Geosci. Model Dev. Discuss., doi: 10.5194/gmd-2022-40.
Ohishi, S., Miyoshi, T. and Kachi, M. (2022).
An Ensemble Kalman Filter-based Ocean Data Assimilation System Improved by Adaptive Observation Error Inflation (AOEI)
, Geosci. Model Dev., 15, 9057–9073, doi: 10.5194/gmd-15-9057-2022.
Ohishi, S., Miyoshi, T., and Kachi, M. (2022).
An EnKF-based Ocean Data Assimilation System Improved by Adaptive Observation Error Inflation (AOEI)
, Geosci. Model Dev. Discuss., doi: 10.5194/gmd-2022-91.
Pan, Z., Mao, F., Rosenfeld, D., Zhu, Y., Zang, L., Lu, X., Thorton, J., Holzworth, R., Yin, J., Efraim, A., and Gong, W. (2022).
Coarse Sea Spray Inhibits Lightning
, Nat. Commun. 13, 4289, doi: 10.1038/s41467-022-31714-5.
Yurovsky, Y.Y., Kudryavtsev, V., Grodsky, S., and Chapron, B. (2022).
Ka-Band Doppler Scatterometry: A Strong Wind Case Study
, Remote Sens., 14(6), 1348, doi: 10.3390/rs14061348.
Aksoy, M., Rajabi, H., Atrey, P., and Nazar, I. (2021).
Characteristics of the Global Radio Frequency Interference in the Protected Portion of L-Band
, Remote Sens., 13(2), 253, doi: 10.3390/rs13020253.
Demir, O., Johnson, J., Jezek, K., Andrews, M., Ayotte, K., Hendricks, S., Kaleschke, L., Oggier, M., Granskog, M., Fong, A., Hoppmann, M., Matero, I., and Scholz, D. (2021).
Measurements of 540-1740 MHz Brightness Temperatures of Sea Ice During the Winter of the MOSAiC Campaign
, IEEE Trans. Geosci. Remote Sens., doi: 10.1109/TGRS.2021.3105360.
Diez-Garcia, R. and Camps, A. (2021).
A Novel RFI Detection Method for Microwave Radiometers Using Multilag Correlators
, IEEE Trans. Geosci. Remote Sens., doi: 10.1109/TGRS.2021.3053104.
Jiménez, C., Tenerelli, J., Prigent, C., Kilic, J., Lavergne, T., Skarpalezos, S., Høyer, J., Reul, N., and Donlon, C. (2021).
Ocean and Sea Ice Retrievals From an End-To-End Simulation of the Copernicus Imaging Microwave Radiometer (CIMR) 1.4–36.5 GHz Measurements
, J. Geophys. Res. Oceans, 126(12), e2021JC017610, doi: 10.1029/2021JC017610.
Johnson, J.T., Jezek, K.C., Macelloni, G., Brogioni, M., Tsang, L., Dinnat, E.P., Walker, J.P., Ye, N., Misra, S., Piepmeier, J.R., Bindlish, R., Le Vine, D.M., O'Neill, P.E., Kaleschke, L., Andrews, M.J., Yardim, C., Aksoy, M., Durand, M., Chen, C.-C., Demir, O., Bringer, A., Miller, J.Z., Brown, S.T., Kwok, R., Lee, T., Kerr, Y., Entekhabi, D., Peng, J., Colliander, A., Chan, S., MacGregor, J.A., Medley, B., DeRoo, R., and Drinkwater, M. (2021).
Microwave Radiometry at Frequencies From 500 to 1400 MHz: An Emerging Technology for Earth Observations
, IEEE J. of Selected Topics in App. Earth Obs. and Remote Sens, 14 4894-4914, doi: 10.1109/JSTARS.2021.3073286.
Kumar, P. and Gairola, R. (2021).
Fostering the Need of L-Band Radiometer for Extreme Oceanic Wind Research
, IEEE Trans. Geosci. Remote Sens., doi: 10.1109/TGRS.2021.3105333.
Li, Y., Yin, X., Zhou, W., Lin, M., Liu, H., and Li, Y. (2021).
Performance Simulation of the Payload IMR and MICAP Onboard the Chinese Ocean Salinity Satellite
, IEEE Trans. Geosci. Remote Sens., doi: 10.1109/TGRS.2021.3111026.
Long, D., Bindlish, R., Piepmeier, J., De Amici, G. and Bailey, M. (2021).
Global L-band Observatory for Water Cycle Studies (GLOWS)
, 2021 IEEE Int. Geosci. Remote Sens. Symp. IGARSS, 7779-7782, doi: 10.1109/IGARSS47720.2021.9554845.
Meissner, T. and Wentz, F. (2021).
Calibration of the SMAP Radiometer for Ocean Applications
, IEEE Trans. Geosci. Remote Sens., doi: 10.1109/IGARSS39084.2020.9324484.
Miller, J.Z., Culberg, R., Long, D.G., Shuman, C.A., Schroeder, D.M., and Brodzik, M.J. (2021).
An Empirical Algorithm to Map Perennial Firn Aquifers, Ice Slabs, and Perched Firn Aquifers Within the Greenland Ice Sheet Using Satellite L-Band Microwave Radiometry
, The Cryosphere Discuss. [preprint], doi: 10.5194/tc-2021-116, in review.
Nielsen-Englyst, P., Høyer, J., Alerskans, E., Pedersen, T., and Donlon, C. (2021).
Impact of Channel Selection on SST Retrievals from Passive Microwave Observations
, Rem. Sens. Envir., 254, doi: 10.1016/j.rse.2020.112252.
Nyadjro, E., Arbic, B., Buckingham, C., Martin, P., Mahu, E., Ansong, J., Adjetey, J., Nyarko, E., and Addo, K. (2021).
Enhancing Satellite Oceanography-Driven Research in West Africa: a Case Study of Capacity Development in an Underserved Region
, Remote Sens. Earth Syst. Sci., doi: 10.1007/s41976-021-00051-4.
Olmedo, E., González-Haro, C., Hoareau, N., Umbert, M., González-Gambau, V., Martínez, J., Gabarró, C., and Turiel, A. (2021).
Nine Years of SMOS Sea Surface Salinity Global Maps at the Barcelona Expert Center
, Earth Syst. Sci. Data, 13, 857-888, doi: 10.5194/essd-13-857-2021.
Peng, J., Misra, S., Piepmeier, J., Yueh, S., Mohammed, P., Dinnat, E., Le Vine, D., and Meissner, T. (2021).
SMAP Microwave Radiometer Calibration Revisit Approaches and Performance
, IEEE Trans. Geosci. Remote Sens., doi: 10.1109/IGARSS39084.2020.9323972.
Sakai, T., Omori, K., Oo, A., and Zaw, Y. (2021).
Monitoring Saline Intrusion in the Ayeyarwady Delta, Myanmar, Using Data from the Sentinel-2 Satellite Mission
, Paddy Water Environ., doi: 10.1007/s10333-020-00837-0.
Soloviev, A., Vanderplow, B., Dean, C., Schwarz, E., Lehner, S., Shen, H., Perrie, W., and Schuler, P.
(2021).
High-Resolution Remote Sensing, In-Situ Observations, and Modeling of Low-Salinity Lenses in the Presence of Oil Slick
, IEEE Trans. Geosci. Remote Sens., doi: 10.1109/IGARSS39084.2020.9323394.
Wang, J., Sun, W., and Zhang, J. (2021).
Error Characterization of Satellite SSS Products Based on Extended Collocation Analysis
, IEEE Trans. Geosci. Remote Sens., doi: 10.1109/TGRS.2021.3107840.
Zhang, G., Xu, C., Li, X., Zhu, Z., and Perrie, W. (2021).
Tropical Cyclone Center and Symmetric Structure Estimating from SMAP Data
, IEEE Trans. Geosci. Remote Sens., 60, doi: 10.1109/TGRS.2021.3131004.
Brewer, J., Fischer, E., Commane, R., Wofsy, S., Daube, B., Apel, E., Hills, A., Hornbrook, R., Barletta, B., Meinardi, S., Blake, D., Ray , E., and Ravishankara, A. (2020).
Evidence for an Oceanic Source of Methyl Ethyl Ketone to the Atmosphere
, Geophys. Res. Lett., 47(4), e2019GL086045, doi: 10.1029/2019GL086045.
Castruccio, F., Karspeck, A., Danabasoglu, G., Hendricks, J., Hoar, T., Collins, N., and Anderson, J. (2020).
An EnOI-based Data Assimilation System with DART for a High-Resolution Version of the CESM2 Ocean Component
, J. Adv. Model. Earth Syst., e2020MS002176, doi: 10.1029/2020MS002176.
Elizabeth, A., Effy, J., and Francis, P.
(2020).
On the Upper Ocean Response of Bay of Bengal to Very Severe Cyclones Phailin and Hudhud
, J. Oper. Oceanogr., 15 pp., doi: 10.1080/1755876X.2020.1813412.
English, S., Prigent, C., Johnson, B., Yueh, S., Dinnat, E., Boutin, J., Newman, S., Anguelova, M., Meissner, T., Kazumori, M., Weng, F., Supply, A., Kilic, L., Bettenhausen, M., Stoffelen, A., and Accadia, C. (2020).
Reference Quality Emission and Backscatter Modelling for the Ocean
, Bull. Amer. Meteor. Soc., doi: 10.1175/BAMS-D-20-0085.1.
Jin, X., He, X., Shanmugam, P., Bai, Y., Gong, F., Yu, S., and Pan, D. (2020).
Comprehensive Vector Radiative Transfer Model for Estimating Sea Surface Salinity From L-Band Microwave Radiometry
, IEEE Trans. Geosci. Remote Sens., doi: 10.1109/TGRS.2020.3007878.
Korte, L., Brummer, G.-J., van der Does, M., Guerreiro, C., Mienis, F., Munday, C., Ponsoni, L., Schouten, S., and Stuut, J.â€B. (2020).
Multiple Drivers of Production and Particle Export in the Western Tropical North Atlantic
, Limnol. Oceanogr., 2020, 1-17, doi: 10.1002/lno.11442.
Lamb, J., Paton, P., Osenkowski, J., Badzinski, S., Berlin, A., Bowman, T., Dwyer, C., Fara, L., Gilliland, S., Kenow, K., Lepage, C., Mallory, M., Olsen, G., Perry, M., Petrie, S., Savard, J.-P., Savoy,. L., Schummer, M., Spiegel, C., and McWilliams, S. (2020).
Assessing Year-round Habitat Use by Migratory Sea Ducks in a Multi-species Context Reveals Seasonal Variation in Habitat Selection and Partitioning
, Ecography, doi: 10.1111/ecog.05003.
Le Vine, D., Soldo, Y. and Dinnat, E. (2020).
Spurious Signal in SMAP Fourth Stokes Parameter
, IEEE Trans. Geosci. Remote Sens., doi: 10.1109/TGRS.2020.3035335.
Liao, E., Resplandy, L., Liu, J. and Bowman, K. (2020).
Amplification of the Ocean Carbon Sink During El Niños: Role of Poleward Ekman Transport and Influence on Atmospheric CO2
, Global Biogeochem. Cycles, e2020GB006574, doi: 10.1029/2020GB006574.
Lv, Q., Wang, D., Gong, F., Bai, Y., and He, X. (2020).
Nitrate Inversion Based on Remote Sensing in the Pearl River Estuary, China
, IOP Conf. Ser.: Earth Environ. Sci., 502, 012027, doi: 10.1088/1755-1315/502/1/012027.
Mäkynen, M., Haapala, J., Aulicino, G., Balan-Sarojini, B., Balmaseda, M., Gegiuc, A., Girard-Ardhuin, F., Hendricks, S., Heygster, G., Istomina, L., Kaleschke, L., Karvonen, J., Krumpen, T., Lensu, M., Mayer, M., Parmiggiani, F., Ricker, R., Rinne, E., Schmitt, A., Similiä, M., Tietsche, S., Tonboe, R., Wadhams, P., Winstrup, M., and Zuo, H. (2020).
Satellite Observations for Detecting and Forecasting Sea-Ice Conditions: A Summary of Advances Made in the SPICES Project by the EU’s Horizon 2020 Programme
, Remote Sens., 12, 1214; doi: 10.3390/rs12071214.
Made, A., Suyasa, I., and Simbolon, D. (2020).
Remote Sensing for Assessing the Potential Anchovy Fishing Ground in the Pesisir Selatan Regency, West Sumatra, Indonesia
, AACL Bioflux, 13(4), 2273-2282, http://www.bioflux.com.ro/home/volume-13-4-2020/.
Merryfield, W. et al. (2020).
Current and Emerging Developments in Subseasonal to Decadal Prediction
, Bull. Amer. Meteorol. Soc., doi: 10.1175/BAMS-D-19-0037.1.
Sánchez-Gámez, P., Gabarro, C., Turiel, A., and Portabella, M. (2020).
Assessment with Controlled In-situ Data of the Dependence of L-Band Radiometry on Sea-Ice Thickness
, Remote Sens., 12(4), 650, doi: 10.3390/rs12040650.
Scarlat, R., Spreen, G., Heygster, G., Huntemann, M., Paţilea, C., Pedersen, L., and Saldo, R. (2020).
Sea Ice and Atmospheric Parameter Retrieval From Satellite Microwave Radiometers: Synergy of AMSR2 and SMOS Compared With the CIMR Candidate Mission
, J. Geophys. Res. Oceans, 125(3), e2019JC015749, doi: 10.1029/2019JC015749.
Shiklomanov, A., Dery, S., Tretiakov, M., Yang, D., Magritsky, D., Georgiadi, A., and Tang, W. (2020).
River Freshwater Flux to the Arctic Ocean
, In Yang D., Kane D. (eds) Arctic Hydrology, Permafrost and Ecosystems, 703-738, Springer, Cham., doi: 10.1007/978-3-030-50930-9_24.
Soldo, Y., Oliva, R., Le Vine, D., Bringer, A., and de Matthaeis, P. (2020).
Retrieval of RFI Characteristics Using L-band Satellite Data
, IEEE IGARS 2020, 3766-3769, 978-1-7281-6374-1.
Toyoda, T., Aoki, T., Niwano, M., Tanikawa, R., Urakawa, L., Tsujino, H., Nakano, H., Sakamoto, K., Hirose, N., and Yamanaka, G. (2020).
Impact of Observation-based Snow Albedo Parameterization on Global Ocean Simulation Results
, Polar Sci., doi: 10.1016/j.polar.2020.100521.
Wirasatriya, A., Sugianto, D., Maslukah, L., Ahkam, M., Wulandari, S., and Helmi, M. (2020).
Carbon Dioxide Flux in the Java Sea Estimated from Satellite Measurements
, Remote Sensing Applications: Society and Environment, 20, 100376, doi: 10.1016/j.rsase.2020.100376.
Wouthuyzen, S., Kusmanto, E., Fadli, M., Harsono, G., Salamena, G., Lekalette, J., and Syahailatua, A. (2020).
Ocean Color as a Proxy to Predict Sea Surface Salinity in the Banda Sea
, IOP Conf. Ser.: Earth Environ. Sci., 618, 012037, doi: 10.1088/1755-1315/618/1/012037.
Aksoy, M. and Rajabi, H. (2019).
Characteristics of Radio Frequency Interference in the Protected Portion of L-Band
, In IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium, 4539-4542, doi: 10.1109/IGARSS.2019.8898779.
Brodeur, J., Chen, B., Su, J., Xu, Y.-Y., Hussain, N., Scaboo, K., Zhang, Y., Testa, J., and Cai, W.-J. (2019).
Chesapeake Bay Inorganic Carbon: Spatial Distribution and Seasonal Variability
, Front. Mar. Sci. 6, 99, doi: 10.3389/fmars.2019.00099.
Churnside, J. and Marchbanks, R. (2019).
Calibration of an Airborne Oceanographic Lidar Using Ocean Backscattering Measurements from Space
, Opt. Express, 27(8), A536-A542, doi: 10.1364/OE.27.00A536.
Domingues, R., Kuwano-Yoshida, A., Chardon-Maldonado, P., Todd, R., Halliwell, G., Kim, H., Lin, I.-I., Sato, K., Narazaki, T., Shay, L., Miles, T., Glenn, S., Zhang, J., Jayne, S., Centurioni, L., Le Hénaff, M., Foltz, G., Bringas, F., Ali, M., DiMarco, S., Hosoda, S., Fukuoka, T., LaCour, B., Mehra, A., Sanabia, E., Gyakum, J., Dong, J., Knaff, J., and Miles, T. (2019).
Ocean Observations in Support of Studies and Forecasts of Tropical and Extratropical Cyclones
, Front. Mar. Sci., 6, 446, doi: 10.3389/fmars.2019.00446.
Du, Y. and Tsang, L. (2019).
Accurate Calculations of Emissivities of Polar Ocean Surfaces Between 0.5 and 2 GHz Using an NIBC/Nystrom/SMCG Method
, In IEEE Transactions on Geoscience and Remote Sensing, 13 p., doi: 10.1109/TGRS.2019.2954886.
Guo, H., Fu, W., and Liu, G. (2019).
Ocean Salinity Satellite
, In Scientific Satellite and Moon-Based Earth Observation for Global Change, 429-455, Springer, Singapore, doi: 10.1007/978-981-13-8031-0_14.
Hao, Z., Tu, Q., Huang, H., Wang, D., Bai, Y., and Mao, Z. (2019).
The Spatial Distribution of Salinity in the Pearl River Estuary in China from Space
, Proc. SPIE 11150, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions, 1115016, doi: 10.1117/12.2532373.
Hwang, P., Reul, N., Meissner, T., and Yueh, S. (2019).
Whitecap and Wind Stress Observations by Microwave Radiometers: Global Coverage and Extreme Conditions
, J. Phys. Oceanogr., 49(9), 2291-2307, doi: 10.1175/JPO-D-19-0061.1.
Li, Y., Liu, H., and Zhang, A. (2019).
End-to-end Simulation of WCOM IMI Sea Surface Salinity Retrieval
, Remote Sens., 11(3), 217, doi: 10.3390/rs11030217.
Liu, J., Chen, Z., Hu, Y., Zhang, Y., Ding, Y., Cheng, X., Yang, Q., Nerger, L., Spreen, G., Horton, R., Inoue, J., Yang, C., Li, M., and Song, M. (2019).
Towards Reliable Arctic Sea Ice Prediction Using Multivariate Data Assimilation
, Sci. Bull., 64(1), 63-72, doi: 10.1016/j.scib.2018.11.018.
Ludwig, V., Spreen, G., Haas, C., Istomina, L., Kauker, F., and Murashkin, D. (2019).
The 2018 North Greenland Polynya Observed by a Newly Introduced Merged Optical and Passive Microwave Sea-ice Concentration Dataset
, Cryosphere, 13, 2051-2073, doi: 10.5194/tc-13-2051-2019.
Petersen, M., Asay‐Davis, X., Berres, A., Chen, Q., Feige, N., Hoffman, M., Jacobsen, D., Jones, P., Maltrud, M., Price, S., Ringler, T., Streletz, G., Turner, A., Van Roekel, L., Veneziani, M., Wolfe, J., Wolfram, P., and Woodring, J. (2019).
An Evaluation of the Ocean and Sea Ice Climate of E3SM Using MPAS and Interannual CORE‐II Forcing
, J. Adv. Model. Earth Syst., 11(5), 1438-1458, doi: 10.1029/2018MS001373.
Schulte, R. and Kummerow, C. (2019).
An Optimal Estimation Retrieval Algorithm for Microwave Humidity Sounding Channels with Minimal Scan Position Bias
, JTECH, 36(3), 409-425, doi: 10.1175/JTECH-D-18-0133.1.
Sharma, N. (2019).
A New Approach for Estimating Ocean-Surface Wind Speed Using an SMAP L-band Radiometer
, Weather, 74(S1), S7-S12, doi: 10.1002/wea.3415.
Silva, M., Silva, J., Fragoso, H., and Ghilardi-Lopes, N. (2019).
Temporal Series Analysis of Abiotic Data for a Subtropical Brazilian Rocky Shore
, Data Brief, 24, 103873, doi: 10.1016/j.dib.2019.103873.
Smith, G., Allard, R., Babin, M., Bertino, L, Chevallier, M., Corlett, G., Crout, J., Davidson, F., Delille, B., Gille, S., Hebert, D., Hyder, P., Intrieri, J., Lagunas, J., Larnicol, G., Kaminski, T., Kater, B., Kauker, F., Marec, C., Mazloff, M., Metzger, E., Mordy, C., O’Carroll, A., Olsen, S., Phelps, M., Posey, P., Prandi, P., Rehm, E., Reid, P., Rigor, I., Sandven, S., Shupe, M., Swart, S., Smedstad, O., Solomon, A., Storto, A., Thibaut, P., Toole, J., Wood, K., Xie, J., Yang, Q,. and the WWRP PPP Steering Group (2019).
Polar Ocean Observations: A Critical Gap in the Observing System and Its Effect on Environmental Predictions From Hours to a Season.
, Front. Mar. Sci., 6, 429, doi: 10.3389/fmars.2019.00429.
Snowden, D., Tsontos, V., Handegard, N., Zarate, M., O'Brien, K., Casey, K., Smith, N., Sagen, H., Bailey, K., Lewis, M., and Arms, S. (2019).
Data Interoperability Between Elements of the Global Ocean Observing System
, Front. Mar. Sci., 6, 442, doi: 10.3389/fmars.2019.00442.
Toyoda, T., Iwamoto, K., Urakawa, L., Tsujino, H., Nakano, H., Sakamoto, K., Yamanaka, G., Komuro, Y., Nishino, S., and Ukita, J. (2019).
Incorporation of Satellite-derived Thin-Ice Data into a Global OGCM Simulation
, Clim. Dynam., 53(11), 7113-7130, doi: 10.1007/s00382-019-04979-8.
Wang, S., Hornbrook, R., Hills, A., Emmons, L., Tilmes, S., Lamarque, J., Jimenez, J., Campuzano‐Jost, P., Nault, B., Crounse, J., Wennberg, P., Kim, M., Allen, H., Ryerson, T., Thompson, C., Peischl, J., Moore, F., Nance, D., Hall, B., Elkins, J., Tanner, D., Huey, L.G., Hall, S., Ullmann, K., Orlando, J., Tyndall, G., Flocke, F., Ray, E., Hanisco, T., Wolfe, G., St. Clair, J., Commane, R., Daube, B., Barletta, B., Blake, D., Weinzierl, B., Dollner, M., Conley, A., Vitt, F., Wofsy, S., Riemer, D., and Apel, E. (2019).
Atmospheric Acetaldehyde: Importance of Air-Sea Exchange and a Missing Source in the Remote Troposphere
, Geophys. Res. Lett., 46(10), 5601-5613, doi: 10.1029/2019GL082034.
Zhang, A., Liu, H., and Wu, J. (2019).
An Improved Calibration Algorithm for the L-Band 1-D Synthetic Aperture Radiometer
, Progress In Electromagnetics Research Letters, 83, 107-114, doi: 10.2528/PIERL19021705.
Aurin, D., Mannino, A., and Lary, D. (2018).
Remote Sensing of CDOM, CDOM Spectral Slope, and Dissolved Organic Carbon in the Global Ocean
, Appl. Sci., 8(12), 2687, doi: 10.3390/app8122687.
Misra, S., Kocz, J., Jarnot, R., Brown, S. T., Bendig, R., Felten, C., and Johnson, J. (2018).
Development of an On-Board Wide-Band Processor for Radio Frequency Interference Detection and Filtering
, IEEE Transactions on Geoscience and Remote Sensing, 57(6), 3191-3203., doi: 10.1109/TGRS.2018.2882306.
Kasparian, J., Hassler, C., Ibelings, B., Berti, N., Bigorre, S., Djambazova, V., Gascon-Diez, E., Giuliani, G., Houlmann, R., Kiselev, D., de Laborie, P., Le, A., Magouroux, T., Neri, T., Palomino, D., Pfändler, S., Ray, N., Sousa, G., Staedler, D., Tettamanti, F., Wolf, J., and Beniston, M. (2017).
Assessing the Dynamics of Organic Aerosols Over the North Atlantic Ocean
, Sci. Rep. 7, 45476, doi: 10.1038/srep45476.
Liu, Z., Dai, C., Zhang, X., and Yang, J. (2015).
Elevation-Dependent Frequency-Domain Imaging for General Bistatic SAR
, IEEE J. Sel. Top. Appl., 8 (12), 5553-5564, doi:10.1109/JSTARS.2015.2479679.