Publications: 782 | Category:
Aksoy, M. and Johnson, J.T. (2013).
A Comparative Analysis of Low-level Radio Frequency Interference in SMOS and Aquarius Microwave Radiometer Measurements
, IEEE T. Geosci. Remote, 51 (10), 4983-4992, doi: 10.1109/TGRS.2013.2266278.
Burgin, M.S., Colliander, A., Njoku, E.G., Chan, S.K., Cabot, F., Kerr, Y.H., Bindlish, R., Jackson, T.J., Entekhabi, D., and Yueh, S.H. (2017).
A Comparative Study of the SMAP Passive Soil Moisture Product With Existing Satellite-Based Soil Moisture Products
, IEEE T. Geosci. Remote, 55 (5), 2959-2971, doi: 10.1109/TGRS.2017.2656859.
Ferster, B.S. and Subrahmanyam, B. (2018).
A Comparison of Satellite-Derived Sea Surface Salinity and Salt Fluxes in the Southern Ocean
, Remote Sens. Earth Sys. Sci., 1 (1-2), 1-13, doi: 10.1007/s41976-018-0001-5.
Corbett, C.M., Subrahmanyam, B., and Giese, B.J. (2017).
A Comparison of Sea Surface Salinity in the Equatorial Pacific Ocean During the 1997-1998, 2012-2013, and 2014-2015 ENSO Events
, Clim. Dynam., 49 (9-10), 3513-3526, doi: 10.1007/s00382-017-3527-y.
Villareal, T.A. and Wilson, C. (2014).
A Comparison of the Pac-X Trans-Pacific Wave Glider Data and Satellite Data (MODIS, Aquarius, TRMM and VIIRS)
, PLOS ONE, 9 (4), 1-18, doi: 10.1371/journal.pone.0092280.
Schmitt, A.U. and Kaleschke, L. (2018).
A Consistent Combination of Brightness Temperatures from SMOS and SMAP Over Polar Oceans for Sea Ice Applications
, Remote Sens., 10 (4), doi: 10.3390/rs10040553.
Grodsky, S.A., Carton, J.A., and Bryan, F.O. (2014).
A Curious Local Surface Salinity Maximum in the Northwestern Tropical Atlantic
, J. Geophys. Res.-Oceans, 119 (1), 484-495, doi: 10.1002/2013JC009450.
Shen, S.S.P., Behm, G., Song, Y.T., Qu, T. (2017).
A Dynamically Consistent Reconstruction of Ocean Temperature
, J. Atmos. Ocean. Tech., 34 (5), 1061-1082, doi:10.1175/JTECH-D-16-0133.1.
Elipot, S., Lumpkin, R., Perez, R.C., Lilly, J.M., Early, J.J., and Sykulski, A.M. (2016).
A Global Surface Drifter Data Set at Hourly Resolution
, J. Geophys. Res.-Oceans, 121 (5), 2937-2966, doi: 10.1002/2016JC011716.
Delcroix, T., Alory, G., Cravatte, S., Correge, T., and McPhaden, M.J. (2010).
A Gridded Sea Surface Salinity Data Set for the Tropical Pacific with Sample Applications (1950-2008)
, Deep Sea Res. Pt. I: Oceanogr. Res. Papers, 58(1), 38-48, doi: 10.1016/j.dsr.2010.11.002.
Thompson, B., Sanchez, C., Sun, X., Song, G., Liu, J., Huang, X.-Y., and Tkalich, P. (2019).
A High-resolution Atmosphere-ocean Coupled Model for the Western Maritime Continent: Development and Preliminary Assessment
, Clim. Dynam., 52(7-8), 3951-3981, doi: 10.1007/s00382-018-4367-0.
Plant, W.J. and Irisov, V. (2017).
A Joint Active/Passive Physical Model of Sea Surface Microwave Signatures
, J. Geophys. Res.-Oceans, 122 (4), 3219-3239, doi: 10.1002/2017JC012749.
Tong, X.L., Wang, Z.Z., and Li, Q.X. (2015).
A Method for Correcting Regional Bias in SMOS Global Salinity Products
, Chin. J. Oceanol. Limn., 33 (4), 1072-1084, doi: 10.1007/s00343-015-4196-5.
Hejazin, Y.H. (2012).
A Microwave Radiometer Roughness Correction Algorithm for Sea Surface Salinity Retrieval
, Thesis (MS).
Utku, C., and Le Vine, D.M. (2010).
A Model for Prediction of the Impact of Topography on Microwave Emission
, IEEE T. Geosci. Remote, 49 (1), 395-405, doi: 101109/tgrs.2010.2053936.
Akhil, V.P., Lengaigne, M., Vialard, J., Durand, F., Keerthi, M.G., Chaitanyi, A.V.S., Papa, F., Gopalakrishna, V.V., and Montegut, C. (2016).
A Modeling Study of Processes Controlling the Bay of Bengal Sea Surface Salinity Interannual Variability
, J. Geophys. Res.-Oceans, 121 (12), 8471-8495, doi: 10.1002/2016JC011662.
Lacava, T., Coviello, I., Faruolo, M., Mazzeo, G., Pergola, N., and Tramutoli, V. (2013).
A Multitemporal Investigation of AMSR-E C-band Radio-Frequency Interference
, IEEE T. Geosci. Remote, 51 (4), 2007-2015, doi: 10.1109/TGRS.2012.2228487.
Drushka, K., Gaube, P., Armitage, T., Cerovecki, I., Fenty, I., Fournier, S., Gentemann, C., Girton, J., Haumann, A., Lee, T., Mazloff, M., Padman, L., Rainville, L., Schanze, J., Springer, S., Steele, M., Thomson, J., and Wilson, E. (2020).
A NASA High-latitude Salinity Campaign
, White paper, 20 pp., doi: 10.6084/m9.figshare.12469154.v1.
Wang, J., Zhang, J., Fan, C., and Wang, J. (2014).
A New Algorithm for Sea-Surface Wind-Speed Retrieval Based on the L-band Radiometer Onboard Aquarius
, Chin. J. Oceanol. Limn., 33 (5), 1115-1123, doi: 10.1007/s00343-015-4123-9.
Jin, W., Zhang, J., Fan, C.Q., and Wang, J. (2014).
A New Algorithm for Sea-Surface Wind-Speed Retrieval Based on the L-Band Radiometer Onboard Aquarius
, Chin. J. Oceanol. Limn., 33 (5), 1115-1123, doi: 10.1007/s00343-015-4123-9.
Guo, P., Shi, J.C., Liu, Q., and Du, J.Y. (2013).
A New Algorithm for Soil Moisture Retrieval With L-Band Radiometer
, IEEE J-STARS, 6 (3), 1147-1155, doi: 101109/jstars.2013.2244852.
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.
Bourras, D., Branger, H., Reverdin, G., Marie, L., Cambra, R., Baggio, L., Caudoux, C., Caudal, G., Morisset, S., Geyskens, N., Weill, A., and Hauser, D. (2014).
A New Platform for the Determination of Air-Sea Fluxes (OCARINA): Overview and First Results
, J. Atmos. Ocean. Tech., 31 (5), 1043-1062.
Gaur, N. and Mohanty, B.P. (2018).
A Nomograph to Incorporate Geophysical Heterogeneity in Soil Moisture Downscaling
, Water Resour. Res. 55 (1), 34-54, doi: 10.1029/2018wr023513.
Chen, J., You, X., Xiao, Y., Zhang, R., Wang, G., and Bao, S. (2017).
A Performance Evaluation of Remotely Sensed Sea Surface Salinity Products in Combination with Other Surface Measurements in Reconstructing Three-Dimensional Salinity Fields
, Acta Oceanol. Sin., 36 (7), 15-31, doi: 10.1007/s13131-017-1079-y.
Du, Y.L., Ma, W.T., Yang X.F., Liu G.H., Yu Y., and Li Z.W. (2015).
A Rapid Atmospheric Correction Model for L-band Microwave Radiometer Under the Cloudless Condition
, Acta Phys. Sin-Ch. Ed., 64 (7), 07951, doi: 10.7498/aps.64.079501.
Lv, S.N., Zeng, Y.J., Wen, J., and Su, Z.B. (2016).
A Reappraisal of Global Soil Effective Temperature Schemes
, Remote Sens. Environ., 183, 144-153, doi: 10.1016/j.rse.2016.05.012.
Momin, I.M., Mitra, A.K., Mahapatra, D.K., and Rajagopal, E.N. (2016).
A Review of Recent Evaluation of Satellite Estimates Sea Surface Salinity in the Tropical Indian Ocean
, SPIE Proc. Ser., 9882, doi: 10.1117/12.2223571.
Schmitt, R.W. and Blair, A. (2015).
A River of Salt
, Oceanography 28 (1), 40-45, doi: 10.5670/oceanog.2015.04.
Hejazin, Y. (2015).
A Roughness Correction for Aquarius Ocean Brightness Temperature Using the CONAE MicroWave Radiometer
, Thesis (Phd).
Hejazin, Y., Jones, W.L., Santos-Garcia, A., Jacob, M.M., and El-Nimri, S.F. (2015).
A Roughness Correction for Aquarius Sea Surface Salinity Using the CONAE MicroWave Radiometer
, IEEE J. Sel. Top. Appl., 8 (12), 5500-5510, doi: 10.1109/JSTARS.2015.2482491.
Chakraborty, A., Sharma, R., Kumar, R., and Basu, S. (2014).
A SEEK Filter Assimilation of Sea Surface Salinity from Aquarius in an OGCM: Implication for Surface Dynamics and Thermohaline Structure
, J. Geophys. Res.-Oceans, 119 (8), 4777-4796, doi: 10.1002/2014JC009984.
Le Vine, D., Koblinsky, C., Pellerano, F., Lagerloef, G., Chao, Y., Yueh, S.H., and Wilson, W. (2010).
A Sensor to Measure Salinity in the Open Ocean from Space
, Int. J. Remote Sens., 25 (7-8), 1313-1318, doi: 10.1080/01431160310001592238.
Felton, C.S. (2014).
A Study on Atmospheric and Oceanic Processes in the North Indian Ocean
, Thesis (MS).
D'Addezio, J.M. and Bingham, F.M. (2014).
A Subtropical North Atlantic Regional Atmospheric Moisture Budget
, J. Geophys. Res.-Oceans, 119 (12), 8731-8748, doi: 10.1002/2014JC010300.
Mironov, V.L., Kerr, Y.H., Kosolapova, L.G., Savin, I.V., Musaleviskiy, K.V. (2015).
A Temperature-Dependent Dielectric Model for Thawed and Frozen Organic Soil at 1.4 GHz
, IEEE J-STARS, 8 (9), 4470-4477, doi:10.1109/JSTARS.2015.2442295.
Dinnat, E.P., Le Vine, D.M., Soldo, Y., and de Matthaeis, P. (2019).
A Theoretical Algorithm for the Retrieval of Sea Surface Salinity from SMAP Observations
, Int. Geosci. Remote Se., 7924-7927, doi: 10.1109/IGARSS.2019.8900065.
Jin, X.C., Pan, D.L., He, X.Q., Bai, Y., Shanmugam, P., Gong, F., and Zhu, Q.K. (2018).
A Vector Radiative Transfer Model for Sea-surface Salinity Retrieval from Space: A Non-raining Case
, Int. J. Remote Sens., 39 (22), 8361-8385, doi: 10.1080/01431161.2018.1488283.
Schlundt, M., Farrar, J., Bigorre, S., Plueddemann, A., and Weller, R. (2020).
Accuracy of Wind Observations from Open-Ocean Buoys: Correction for Flow Distortion
, J. Atmos. Ocean. Tech., 37(4), 687-703, doi: 10.1175/JTECH-D-19-0132.1.
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.
Lang, R., Zhou, Y., Utku, C., and Le Vine, D. (2015).
Accurate Measurements of the Dielectric Constant of Seawater at L band
, Radio Sci., 51 (1), 2-24, doi: 10.1002/2015RS005776.
Martin, A.C.H., Boutin, J., Hauser, D., and Dinnat, E.P. (2014).
Active-Passive Synergy for Interpreting Ocean L-band Emissivity: Results from the CAROLS Airborne Campaigns
, J. Geophys. Res.-Oceans, 119 (8), 4940-4957, doi: 10.1002/2014JC009890.
Chen, D.D. and Ruf, C.S. (2015).
Adaptive Control of Undetected Radio Frequency Interference with a Spaceborne Microwave Radiometer
, IEEE T. Geosci. Remote, 53 (9), 4972-4984, doi: 10.1109/TGRS.2015.2414395.
Palmer, M., Durack, P., Chidichimo, M., Church, J., Cravatte, S., Hill, K., Johannessen, J., Karstensen, J., Lee, T., Legler, D., Mazloff, M., Oka, E., Purkey, S., Rabe, B., Sallée, J.-B., Sloyan, B., Speich, S., von Schuckmann, K., Willis, J., and Wijffels, S. (2019).
Adequacy of the Ocean Observation System for Quantifying Regional Heat and Freshwater Storage and Change
, Front. Mar. Sci., 6, 416, doi: 10.3389/fmars.2019.00416.
Burns, J.M. (2017).
Air-Sea Interactions and Ocean Dynamics in the Southwest Tropical Indian Ocean
, (Master's thesis). Retrieved from
Skou, N., Kristensen, S.S., Sobjaerg, S.S., and Balling, J.E. (2015).
Airborne L-band Radiometer Mapping of the Dome-C Area in Antarctica
, IEEE J. Sel. Top. Appl., 8 (7), 3656-3664, doi: 10.1109/JSTARS.2015.2425039.
Ffield, A. (2007).
Amazon and Orinoco River Plumes and NBC Rings: Bystanders or Participants in Hurricane Events?
, J. Climate, 20, 316-333, doi: 10.1175/JCLI3985.1.
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.
Tauro, C.B., Hejazin, Y., Jacob, M.M., and Jones, W.L. (2015).
An Algorithm for Sea Surface Wind Speed from SAC-D/Aquarius Microwave Radiometer
, IEEE J. Sel. Top. Appl., 8 (12), 5485-5490, doi: 10.1109/JSTARS.2015.2497260.
Ponte, R.M. and Vinogradova, N.T. (2016).
An Assessment of Basic Processes Controlling Mean Surface Salinity Over the Global Ocean
, Geophys. Res. Lett., 43 (13), 7052-7058, doi: 10.1002/2016GL069857.
Holmes, T.R.H., Jackson, T.J., Reichle, R.H., abd Basara, J.B. (2012).
An Assessment of Surface Soil Temperature Products from Numerical Weather Prediction Models Using Ground-based Measurements
, Water Resour. Res, 48, doi: 10.1029/2011wr010538.
Dey, D., Sil, S., Jana, S., Pramanik, S., and Pandey, P.C. (2017).
An Assessment of TropFlux and NCEP Air-Sea Fluxes on ROMS Simulations Over the Bay of Bengal Region
, Dynam. Atmos. Oceans, 80, 47-61, doi: 10.1016/j.dynatmoce.2017.09.002.
Foltz, G.R., Schmid, C., and Lumpkin, R. (2018).
An Enhanced PIRATA Data Set for Tropical Atlantic Ocean-Atmosphere Research
, J. Climate, doi: 10.1175/JCLI-D-16-0816.1.
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.
Blyverket, J., Hamer, P.D., Bertino, L., Albergel, C., Fairbairn, D., and Lahoz, W.A. (2019).
An Evaluation of the EnKF vs. EnOI and the Assimilation of SMAP, SMOS and ESA CCI Soil Moisture Data over the Contiguous US
, Remote Sens., 11 (5), 478, doi:
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.
Palma, E.D. and Matano, R.P. (2017).
An Idealized Study of Near Equatorial River Plumes
, J. Geophys. Res.-Oceans, 122 (5) 3599-3620, doi:10.1002/2016JC012554.
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.
Ma, W., Yang, X.F., Liu, G., Ma, S., Yu, Y., Li, Z., and Liu, Y. (2014).
An Improved Model for L-band Brightness Temperature Estimation Over Foam-Covered Seas Under Low and Moderate Winds
, IEEE J. Sel. Top. Appl., 7 (9), 3784-3793, doi: 10.1109/JSTARS.2014.2318432.
Du, Y., Yang, X.F., Chen, K-S., Ma, W., and Li, Z. (2017).
An Improved Spectrum Model for Sea Surface Radar Backscattering at L-Band
, Remote Sens., 9 (8), 776-792, doi: 10.3390/rs9080776.
Xie, P., Boyer, T., Bayler, E., Xue, Y., Byrne, D., Reagan, J., Locarnini, R., Sun, F., Joyce, R., and Kumar, A. (2014).
An In Situ-satellite Blended Analysis of Global Sea Surface Salinity
, J. Geophys. Res.-Oceans, 119 (9), 6140-6160, doi: 10.1002/2014JC010046.
Senanayake, I.P., Yeo, I.Y., Tangdamrongsub, N., Willgoose, G.R., Hancock, G.R., Welis, T., et al. (2019).
An In-situ Data Based Model to Downscale Radiometric Satellite Soil Moisture Products in the Upper Hunter Region of NSW, Australia
, J. Hydro., 572, 820-838, doi: 10.1016/j.jhydrol.2019.03.014.
Fine, E.C., Bryan, F.O., Large, W.G., and Bailey, D.A. (2015).
An Initial Estimate of the Global Distribution of Diurnal Variation in Sea Surface Salinity
, J. Geophys. Res.-Oceans, 120 (5), 3211-3228, doi: 10.1002/2014JC010483.
Molod, A., Hackert, E., Akella, S., Andrews, L., Arnold, N., Barahona, D., Borovikov, A., Cullather, R., Chang, Y., and Kovach, R. (2020).
An Introduction to the NASA GMAO Coupled Atmosphere-Ocean System - GEOS-S2S Version 3
, NASA Technical Reports Server, GSFC-E-DAA-TN78568, 22 p.
Yao, P., Shi, J., Zhao, T., Cosh, M.H., Bindlish, R., and Lu, H. (2019).
An L-Band Brightness Temperature Disaggregation Method Using S-Band Radiometer Data for the Water Cycle Observation Mission (WCOM)
, IEEE J. Sel. Top. Appl., 12 (9), 3184-3193, doi: 10.1109/JSTARS.2019.2922780.
Yuan, X., Salama, M., and Su, Z. (2018).
An Observational Perspective of Sea Surface Salinity in the Southwestern Indian Ocean and its Role in the South Asia Summer Monsoon
, Remote Sens., 10 (12), 1930, doi: 10.3390/rs10121930.
Bruscantini, C.A., Crow, W.T., Grings, F., Perna, P., Maas, M., and Karszenbaum, H. (2014).
An Observing System Simulation Experiment for the Aquarius/SAC-D Soil Moisture Product
, IEEE T. Geosci. Remote, 52 (10), 6086-6094, doi: 10.1109/TGRS.2013.2294915.
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.
Casanova, V. and Berenguer, I. (2014).
Anàlisi de velocitats en boies de deriva - El problema de detectar la presencia de l
, Thesis (MS).
Shoup, C., Roman-Stork, H., and Subrahmanyam, B. (2020).
Analysis of Coupled Oceanic and Atmospheric Preconditioning for Primary Madden-Julian Oscillation Events Across ENSO Phases
, J. Geophys. Res. Oceans, 125(9), e2020JC016358, doi: 10.1029/2020JC016358.
Gomez, J.J., and Cassini, M.H. (2013).
Analysis of Environmental Correlates of Sexual Segregation in Northern Elephant Seals Using Species Distribution Models
, Mar. Biol., 161 (2), 481-487, doi: 10.1007/s00227-013-2337-y.
Burgin, M.S. and van Zyl, M.S. (2016).
Analysis of Polarimetric Radar Data and Soil Moisture from Aquarius: Towards a Regression-Based Soil Moisture Estimation Algorithm
, IEEE J. Sel. Top. Appl., 9 (8), 3497-3504, doi: 10.1109/JSTARS.2016.2526899.
Hasson, A., Delcroix, T., Boutin, J., Dussin, R., and Ballabrera-Poy, J. (2014).
Analyzing the 2010-2011 La Niña Signature in the Tropical Pacific Sea Surface Salinity Using In Situ Data, SMOS Observations and a Numerical Simulation
, J. Geophys. Res-Oceans, 119 (6), 3855-3867, doi: 10.1002/2013JC009388.
Borge, R.S. (2015).
Application of the Unmanned Offshore Sensing SailBuoy for Validation of Ocean Model Simulations and Remote Sensing Data in the North Atlantic
, Thesis (MS).
Le Vine, D.M. and de Matthaeis, P. (2014).
Aquarius Active/Passive RFI Environment at L-band
, IEEE Geosci. Remote S., 11 (10), 1747-1751, doi: 10.1109/LGRS.2014.2307794.
Le Vine, D.M., Lagerloef, G.S.E., and Torrusio, S.E. (2010).
Aquarius and Remote Sensing of Sea Surface Salinity from Space
, P. IEEE, 98 (5), 688-703, doi: 10.1109/JPROC.2010.2040550.
Gierach, M., Vazquez-Cuervo, J., Lee, T., and Tsontos, V.M. (2013).
Aquarius and SMOS Detect Effects of an Extreme Mississippi River Flooding Event in the Gulf of Mexico
, Geophys. Res. Lett., 40 (19), 5188-5193, doi:10.1002/grl.50995.
Yueh, S.H., Tang, W., Fore, A., Hayashi, A., Song, Y.T., and Lagerloef, G. (2014).
Aquarius Geophysical Model Function and Combined Active Passive Algorithm for Ocean Surface Salinity and Wind Retrieval
, J. Geophys. Res.-Oceans, 119 (8), 5360-5379, doi:10.1002/2014JC009939.
Piepmeier, J.R., Hong, L., and Pellerano, F.A. (2015).
Aquarius L-band Microwave Radiometer: 3 Years of Radiometric Performance and Systematic Effects
, IEEE J. Sel. Top. Appl., 8 (12), 5416-5423, doi: 10.1109/JSTARS.2015.2435493.
Dinnat, E.P., Le Vine, D.M., Piepmeier, J.R., Brown, S.T., and Hong, L. (2015).
Aquarius L-band Radiometers Calibration Using Cold Sky Observations
, IEEE J. Sel. Top. Appl, 8 (12), 5433-5449, doi: 10.1109/JSTARS.2015.2496362.
Wang, Q., van der Velde, R., Su, Z., and Wen, J. (2015).
Aquarius L-band Scatterometer and Radiometer Observations Over a Tibetan Plateau Site
, Int. J. Appl. Earth Obs., 45, 165-177, doi: 10.1016/j.jag.2015.06.010.
Abe, H., Ebuchi, N., Ueno, H., Ishiyama, H., and Matsumura, Y. (2018).
Aquarius Reveals Eddy Stirring After a Heavy Precipitation Event in the Subtropical North Pacific
, J. Oceanogr., doi: 10.1007/s10872-018-0482-0.
Lee, T., Lagerloef, G., Gierach, M., Kao, H., Yueh, S.H., and Dohan, K. (2012).
Aquarius Reveals Salinity Structure of Tropical Instability Waves
, Geophys. Res. Lett., 39 (12), L12610, doi: 10.1029/2012GL052232.
Le Vine, D.M., de Matthaeis, P., and Ruf, C.S. (2014).
Aquarius RFI Detection and Mitigation Algorithm: Assessment and Examples
, IEEE T. Geosci. Remote, 52 (8), 4574-4584, doi: 10.1109/TGRS.2013.2282595.
Lagerloef, G., Wentz, F., Yueh, S.H., Kao, H., Johnson, G., and Lyman, J. (2012).
Aquarius Satellite Mission Provides New Detailed View of Sea Surface Salinity
, in State of the Climate in 2011, B. Am. Meteorol. Soc., 93 (7), S70-S71, doi: 10.1175/2012BAMSStateoftheClimate.1.
Fore, A.G., Neumann, G., Freedman, A.P., Chaubell, M.J., Tang, W., Hayashi, A.K., and Yueh, S.H. (2015).
Aquarius Scatterometer Calibration
, IEEE J. Sel. Top. Appl., 8 (12), 5424-5432, doi: 10.1109/JSTARS.2015.2493449.
Li, Y., Dong, Q., and Ren, Y. (2019).
Aquarius Sea Surface Salinity Gridding Method Based on Dual Quality-Distance Weighting
, Remote Sens., 11 (9), 1131, doi: 10.3390/rs11091131.
Menezes, V.V., Vianna, M.L., and Phillips, H.E. (2014).
Aquarius Sea Surface Salinity in the South Indian Ocean: Revealing Annual-Period Planetary Waves
, J. Geophys. Res.-Oceans, 119 (6), 3883-3908, doi: 10.1002/2014JC009935.
Guan, B., Lee, T., Halkides, D., and Waliser, D. (2014).
Aquarius Surface Salinity and the Madden-Julian Oscillation: the Role of Salinity in Surface Layer Density and Potential Energy
, Geophys. Res. Lett., 41 (8), 2858-2869, doi: 10.1002/2014GL059704.
Le Vine, D.M., Abraham, S., Utku, C. Dinnat, and E.P. (2012).
Aquarius Third Stokes Parameter Measurements: Initial Results
, IEEE Geosci. Remote S., 10 (3), 520-524, doi: 10.1109/LGRS.2012.2211994.
Fore, A.G., Yueh, S.H., Tang, W., Hayashi, A.K., and Lagerloef, G.S.E. (2013).
Aquarius Wind Speed Products: Algorithms and Validation
, IEEE T. Geosci. Remote, 52 (5), 2920-2927, doi: 10.1109/TGRS.2013.2267616.
Le Vine, D.M., Lagerloef, G.S.E., Colomb, F.R., Yueh, S.H., and Pellerano, F.A. (2007).
Aquarius: An Instrument to Monitor Sea Surface Salinity from Space
, IEEE T. Geosci. Remote, 45 (7), 2040-2050, doi: 10.1109/TGRS.2007.898092.
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The Role of Salinity on the Interannual Variability of the Seychelles-Chagos Thermocline Ridge
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Hackert, E.C. (2016).
The Role of the Indian Ocean Sector and Sea Surface Salinity for Prediction of the Coupled Indo-Pacific System
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Li, L., Schmitt, R.W., and Ummenhofer, C.C. (2017).
The Role of the Subtropical North Atlantic Water Cycle in Recent US Extreme Precipitation Events
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Colomb, F.R., Lagerloef, G.S.E., Le Vine, D., Nollmann, I., and Chao, Y. (2004).
The SAC-D/Aquarius Mission, Scientific Objectives
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The SailBuoy Remotely-Controlled Unmanned Vessel: Measurements of Near Surface Temperature, Salinity and Oxygen Concentration in the Northern Gulf of Mexico
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Meissner, T., Wentz, F.J., and Le Vine, D.M. (2018).
The Salinity Retrieval Algorithms for the NASA Aquarius Version 5 and SMAP Version 3 Releases
, Remote Sens., 10 (7), 1121, doi: 10.3390/rs10071121.
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The Salinity Signature of the Cross-Shelf Exchanges in the Southwestern Atlantic Ocean: Numerical Simulations
, J. Geophys. Res.-Oceans, 119 (11), 7949-7968, doi: 10.1002/2014JC010116.
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The Salinity Signature of the Cross-Shelf Exchanges in the Southwestern Atlantic Ocean: Satellite Observations
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Gouveia, N.A., Gherardi, D.F.M., Wagner, F.H., Paes, E.T., Coles, V.J., and Aragao, L. (2019).
The Salinity Structure of the Amazon River Plume Drives Spatiotemporal Variation of Oceanic Primary Productivity
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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
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Bingham, F.M., Tsontos, V., deCharon, A., Lauter, C.J., and Taylor, L. (2019).
The SPURS-2 Eastern Tropical Pacific Field Campaign Data Collection
, Oceanography, 32 (2), 142-149, doi: 10.5670/oceanog.2019.222.
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The Theoretical Impact of Remotely Sensed Sea Surface Salinity Observations in a Multi-variate Assimilation System
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Damerell, G.M., Heywood, K.J., Thompson, A.F., Binetti, U., and Kaiser, J. (2016).
The Vertical Structure of Upper Ocean Variability at the Porcupine Abyssal Plain During 2012-2013
, J. Geophys. Res.-Oceans, 121 (5), 3075-3089, doi: 10.1002/2015JC011423.
Mathur, M., David, M.J., Sharma, R., and Agarwal, N. (2019).
Thermal Fronts and Attracting Lagrangian Coherent Structures in the North Bay of Bengal During December 2015-March 2016
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Aagaard, K., Swift, J.H., and Carmack, E.C. (1985).
Thermohaline circulation in the Arctic Mediterranean Seas
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García-Ladona, E., Salvador, J., Fernandez, P., Pelegrí, J.L., Elósegui, P., Sánchez, O., Madrid, J.A.J., Perez, F., Ballabrera, J., Isern-Fontanet, J., Salat, J., and Font, J. (2016).
Thirty Years of Research and Development of Lagrangian Buoys at the Institute of Marine Sciences
, Sci. Mar., 80 (S1), 141-158, doi: 10.3989/scimar.04325.14A.
Hayes, C.T., Rosen, J., McGee, D., and Boyle, E.A. (2017).
Thorium Distributions in High- and Low-Dust Regions and the Significance for Iron Supply
, Global Biogeochem. Cy., 31 (2), 328-347, doi: 10.1002/2016GB005511.
Pellarin, T., Mialon, A., Biron, R., Coulaud, C., Gibon, F., Kerr, Y., Lafaysse, M., Mercier, B., Morin, S., Redor, I., Schwank, M., and Völksch, I. (2016).
Three Years of L-Band Brightness Temperature Measurements in a Mountainous Area: Topography, Vegetation and Snowmelt Issues
, Remote Sens. Environ., 180, 85-98, doi: 101016/j.rse.2016.02.047.
Soloviev, A.V., Matt, S., and Fujimura, A. (2015).
Three-Dimensional Dynamics of Freshwater Lenses in the Ocean’s Near-Surface Layer
, Oceanography 28 (1), 142-149, doi: 10.5670/oceanog.2015.14.
Utku, C. and Le Vine, D.M. (2013).
Topographic Signatures in Aquarius Radiometer and Scatterometer Response
, IEEE T. Geosci. Remote, 52 (7), 4141-4154, doi: 10.1109/TGRS.2013.2280015.
Epeloa, J. and Meza, A. (2017).
Total Column Water Vapor Estimation Over Land Using Radiometer Data from SAC-D/Aquarius
, Adv. Space Res., 61 (4), 1025-1034, doi: 10.1016/j.asr.2017.11.023.
Soldo, Y., Hong, L., El-Nimri, S., and Le Vine, D.M. (2018).
Total Electron Content Retrieved from L-Band Radiometers and Potential Improvements to the IGS Model
, Radio Sci., doi: 10.1002/2018RS006530.
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
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Dzwonkowski, B., Fournier, S., Reager, J.T., Milroy, S., Park, K., Shiller, A.M., Greer, A.T., Soto, I., Dykstra, S.L., and Sandal, V. (2018).
Tracking Sea Surface Salinity and Dissolved Oxygen on a River-influenced, Seasonally Stratified Shelf, Mississippi Bight, Northern Gulf of Mexico
, Cont. Shelf Res., 169, 25-33, doi: 10.1016/j.csr.2018.09.009.
Foltz, G.R., Schmid, C., and Lumpkin, R. (2015).
Transport of Surface Freshwater from the Equatorial to the Subtropical North Atlantic Ocean
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McColl, K.A., Roy, A., Derksen, C., Konings, A.G., Alemohammed, S.H., and Entekhabi, D. (2016).
Triple Collocation for Binary and Categorical Variables: Application to Validating Landscape Freeze/Thaw Retrievals
, Remote Sens. Environ., 176, 31-42, doi: 10.1016/j.rse.2016.01.010.
Esters, L., Breivik, O., Landwehr, S., ten Doeschate, A., Sutherland, G., Christensen, K.H., Bidlot, J.-R., and Ward, B. (2018).
Turbulence Scaling Comparisons in the Ocean Surface Boundary Layer
, J. Geophys. Res.-Oceans, 123 (3), 2172-2191, doi: 10.1002/2017JC013525.
McColl, K.A., Entekhabi, D., and Piles, M. (2013).
Uncertainty Analysis of Soil Moisture and Vegetation Indices Using Aquarius Scatterometer Observations
, IEEE T. Geosci. Remote, 52 (7), 4259-4272, doi: 10.1109/TGRS.2013.2280701.
Tang, W., Yueh, S.H., Fore, A.G., Hayashi, A., Lee, T., and Lagerloef, G. (2014).
Uncertainty of Aquarius Sea Surface Salinity Retrieved Under Rainy Conditions and its Implication on the Water Cycle Study
, J. Geophys. Res.-Oceans, 119 (8), 4821-4839, doi: 10.1002/2014JC009834.
Drushka, K., Asher, W.E., Ward, B., and Walesby, K. (2016).
Understanding the Formation and Evolution of Rain-formed Fresh Lenses at the Ocean Surface
, J. Geophys. Res.-Oceans, 121 (4), 2673-2689, doi: 10.1002/2015JC011527.
Trott, C. (2019).
Upper Ocean Dynamics and Mixing in the Arabian Sea During Monsoons
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Suneet, D., Kumar, M.A., and Atul, S. (2018).
Upper Ocean High Resolution Regional Modeling of the Arabian Sea and Bay of Bengal
, Acta Oceanol. Sin., 38 (5), 32-50, doi: 10.1007/s13131-019-1439-x.
Dwivedi, S., Mishra, A.K., and Srivastava, A. (2019).
Upper Ocean High Resolution Regional Modeling of the Arabian Sea and Bay of Bengal
, Acta Oceanol. Sin., 38 (5), 32-50, doi: 10.1007/s13131-019-1439-x.
Yue, X., Zhang, B., Liu, G., Li, X., Zhang, H., and He, Y. (2018).
Upper Ocean Response to Typhoon Kalmaegi and Sarika in the South China Sea from Multiple-Satellite Observations and Numerical Simulations
, Remote Sens., 10 (2), 348, doi: 10.3390/rs10020348.
Guo, J., Zhang, T., Xu, C., and Xie, Q. (2019).
Upper Ocean Response to Typhoon Kujira (2015) in the South China Sea by Multiple Means of Observation
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Qiu, Y., Han, W., Lin, X., West, B.J., Li, Y., Xing, W., Zhang, X., Arulananthan, K., and Guo, X. (2019).
Upper-Ocean Response to the Super Tropical Cyclone Phailin (2013) over the Freshwater Region of the Bay of Bengal
, J. Phys. Oceanogr., 49 (5), 1201-1228, doi: 10.1175/JPO-D-18-0228.1.
Sprintall, J. (2019).
Upper-Ocean Salinity Stratification During SPURS-2
, Oceanography, 32 (2), 40-41, doi: 10.5670/oceanog.2019.210.
Crow, W.T., Berg, A.A., Cosh, M.H., Loew, A., Mohanty, B.P., Panciera, R., de Rosnay, P., Ryu, D., and Walker, J.P. (2012).
Upscaling Sparse Ground-Based Soil Moisture Observations for the Validation of Coarse-Resolution Satellite Soil Moisture Products
, Rev. Geophys., 50 (2), RG2002, doi: 10.1029/2011RG000372.
Wang, Q., van der Velde, R., and Su, Z. (2017).
Use of a Discrete Electromagnetic Model for Simulating Aquarius L-Band Active/Passive Observations and Soil Moisture Retrieval
, Remote Sens. Environ., 205, 434-452, doi: 10.1016/j.rse.2017.10.044.
Abraham, S. and Le Vine, D.M. (2004).
Use of IRI to Model the Effect of Ionosphere Emission on Earth Remote Sensing at L-Band
, Adv. Space Res., 34 (9), 2059-2066, doi: 10.1016/j.asr.2004.06.015.
Vazquez-Cuervo, J., Gomez-Valdes, J., Bouali, M., Miranda, L., Van der Stocken, T., Tang, W., and Gentemann, C. (2019).
Using Saildrones to Validate Satellite-Derived Sea Surface Salinity and Sea Surface Temperature along the California/Baja Coast
, Remote Sens., 11 (17), 1964, doi: 10.3390/rs11171964.
Corbett, C.M. (2016).
Utilization Of Satellite-Derived Salinity For ENSO Studies And Climate Indices
, Thesis (MS).
D'Addezio, J.M. (2016).
Utilization of Satellite-Derived Salinity to Study Indian Ocean Climate Variability
, Dissertation (PhD).
Tang, W., Fore, A., Yueh, S., Lee, T., Hayashi, A., Sanchez-Franks, A., Martinez, J., King, B., and Baranowski, D. (2017).
Validating SMAP SSS with In Situ Measurements
, Remote Sens. Environ., 200, 326-340, doi: 10.1016/j.rse.2017.08.021.
Wu., Q., Wang, X., Liang, W., and Zhang, W. (2020).
Validation and Application of Soil Moisture Active Passive Sea Surface Salinity Observation over the Changjiang River Estuary
, Acta Oceanol. Sin., 39, 1-8, doi: 10.1007/s13131-020-1542-z.
Qin, S., Wang, H., Zhu, J., Wan, L., Zhang, Y., and Wang, H. (2020).
Validation and Correction of Sea Surface Salinity Retrieval from SMAP
, Acta Oceanol. Sin., 39, 148-158, doi: 10.1007/s13131-020-1533-0.
Colliander, A., Cosh, M.H., Misra, S., Jackson, T.J., Crow, W.T., Chan, S., Bindlish, R., Chae, C., Collins, C.H., and Yueh, S.H. (2017).
Validation and Scaling of Soil Moisture in a Semi-Arid Environment: SMAP Validation Experiment 2015 (SMAPVEX15)
, Remote Sens. Environ., 196, 101-112, doi: 10.1016/j.rse.2017.04.022.
Drucker, R. and Riser, S.C. (2014).
Validation of Aquarius Sea Surface Salinity with Argo: Analysis of Error Due to Depth of Measurement and Vertical Salinity Stratification
, J. Geophys. Res.-Oceans, 119 (7), 4626-4637, doi: 10.1002/2014JC010045.
Tang, W., Yueh, S.H., Fore, A.G., and Hayashi, A. (2014).
Validation of Aquarius Sea Surface Salinity with In Situ Measurements from Argo Floats and Moored Buoys
, J. Geophys. Res.-Oceans, 119 (9), 6171-6189, doi: 10.1002/2014JC010101.
Gonzalez-Zamora, A., Sanchez, N., and Martinez-Fernandez, J. (2016).
Validation of Aquarius Soil Moisture Products Over the Northwest of Spain: A Comparison with SMOS
, IEEE J. Sel. Top. Appl., 9 (6), 2763 - 2769, doi: 10.1109/JSTARS.2016.2517401.
Manaster, A., Ricciardulli, L., and Meissner, T. (2019).
Validation of High Ocean Surface Winds from Satellites Using Oil Platform Anemometers
, J. Atmos, Ocean Tech., 36 (5), 803-818, doi: 10.1175/jtech-d-18-0116.1.
Corbett, C.M. and Subrahmanyam, B. (2016).
Validation of Satellite-Derived Salinity in the Equatorial Pacific with Specific Emphasis on the 2014-15 ENSO Event
, IEEE Geosci. Remote S., 13 (12), 1979-1983, doi: 10.1109/LGRS.2016.2619980.
Cai, X.T., Pan, M., Chaney, N.W., Colliander, A., Misra, S., Cosh, M.H., Crow, W.T., Jackson, T.J., and Wood, E.F. (2017).
Validation of SMAP Soil Moisture for the SMAPVEX15 Field Campaign Using a Hyper-Resolution Model
, Water Resour. Res., 53 (4), 3013-3028, doi: 10.1002/2016wr019967.
Montzka, C., Bogena, H.R., Zreda, M., Monerris, A., Morrison, R., Muddu, S., and Vereecken, H. (2017).
Validation of Spaceborne and Modelled Surface Soil Moisture Products with Cosmic-Ray Neutron Probes
, Remote Sens., 9 (2), doi: 10.3390/rs9020103.
Lyu, H., McColl, K.A., Li, X., Derksen, C., Berg, A., Black, T.A., Euskirchen, E., Loranty, M., Pulliainen, J., Rautiainen, K., Rowlandson, T., Roy, A., Royer, A., Langlois, A, Stephens, J., Lu, H., and Entekhabi, D. (2017).
Validation of the SMAP Freeze/Thaw Product Using Categorical Triple Collocation
, Remote Sens. Environ., 205, 329-337, doi: 10.1016/j.rse.2017.12.007.
Grings, F., Bruscantini, C.A., Smulcer, E., Caraballo, E., Dillon, M.E., Collini, E.A., Salvia, M., and Karsenbaum, H. (2015).
Validation Strategies for Satellite-Based Soil Moisture Products Over Argentine Pampas
, IEEE J-STARS, 8 (8), 4094-4105, doi:10.1109/JSTARS.2015.2449237.
Shcherbina, A.Y., D'Asaro, E.A., Riser, S.C., and Kessler, W.S. (2015).
Variability and Interleaving of Upper-Ocean Water Masses Surrounding the North Atlantic Salinity Maximum
, Oceanography 28 (1), 106-113, doi: 10.5670/oceanog.2015.12.
Yu, L. (2020).
Variability and Uncertainty of Satellite Sea Surface Salinity in the Subpolar North Atlantic (2010–2019)
, Remote Sens., 12(13), 2092, doi: 10.3390/rs12132092.
Riser, S., Anderson, J., Shcherbina, A., and D'Asaro, E. (2015).
Variability in Near-surface Salinity from Hours to Decades in the Eastern North Atlantic: The SPURS Region
, Oceanography, 28 (1), 66-77, doi: 10.5670/oceanog.2015.11.
Jiang, Z-P., Terrell, T., Hydes, D.J., Dai, M., and Hartman, S.E. (2014).
Variability of Alkalinity and the Alkalinity-salinity Relationship in the Tropical and Subtropical Surface Ocean
, Global Biobeochem. Cy., 28 (7), 729-742, doi: 10.1002/2013GB004678.
Trott, C.B., Subrahmanyam, B., Roman-Stork, H.L., Murty, V.S.N., and Gnanaseelan, C. (2019).
Variability of Intraseasonal Oscillations and Synoptic Signals in Sea Surface Salinity in the Bay of Bengal
, J. Climate, 32 (20), 6703-6728, doi: 10.1175/JCLI-D-19-0178.1.
Hormann, V., Centurioni, L.R., Mahadevan, A., Essink, S., D'Asaro, E.A., and Kumar, B.P. (2016).
Variability of Near-Surface Circulation and Sea Surface Salinity Observed from Lagrangian Drifters in the Northern Bay of Bengal During the Waning 2015 Southwest Monsoon
, Oceanography, 29 (2), 124-133, doi: 10.5670/oceanog.2016.45.
Nyadjro, E.S., Subrahmanyam, B., and Giese, B.S. (2013).
Variability of Salt Flux in the Indian Ocean During 1960-2008
, Remote Sens. Environ., 134, 175-193, doi: 10.1016/j.rse.2013.03.005.
Supply, A., Boutin, J., Reverdin, G., Vergely, J.L., and Bellenger, H. (2020).
Variability of Satellite Sea Surface Salinity Under Rainfall
, In Levizzani, V., Kidd, C., Kirschbaum, D.B., Kummerow, C.D., Nakamura, K., and Turk, F.J. (Eds.), Satellite Precipitation Measurement, Springer Nature, Dordrecht.
Momin, I.M., Mitra, A.K., Prakash, S., Mahapatra, D.K., Gera, A., and Rajagopal, E.N. (2015).
Variability of Sea Surface Salinity in the Tropical Indian Ocean as Inferred from Aquarius and In Situ Data Sets
, Int. J. Remote Sens., 36 (7), 1907-1920, doi: 10.1080/01431161.2015.1030045.
Tang, W., Yueh, S., Yang, D., Mcleod, E., Fore, A., Hayashi, A., Olmedo, E., Martinez, J. and Gabarro, C. (2019).
Variability of Spacebased Sea Surface Salinity and Freshwater Contents in the Hudson Bay
, Int. Geosci. Remote Se., 7928-7931, doi: 10.1109/IGARSS.2019.8898120.
Burns, J.M. and Subrahmanyam, B. (2016).
Variability of the Seychelles-Chagos Thermocline Ridge Dynamics in Connection With ENSO and Indian Ocean Dipole
, IEEE Geosci. Remote S., 13 (12), 2019-2023, doi: 10.1109/LGRS.2016.2621353.
Bingham, F.M., Busecke, J., and Gordon, A. (2019).
Variability of the South Pacific Subtropical Surface Salinity Maximum
, J. Geophys. Res.-Oceans, 124 (8), 6050-6066, doi: 10.1029/2018JC014598.
Alappatu, D.P., Wang, Q., Kalogiros, J. (2017).
Variability of Upper Ocean Thermohaline Structure During a MJO Event from DYNAMO Aircraft Observations
, J. Geophys. Res.-Oceans, 122 (2), 1122-1140, doi: 10.1002/2016JC012137.
Wang, Z., Bai, Y., Yu, S., Tao, B., Zhu, Q., and Gong, F. (2019).
Variation of Summertime Sea Surface Salinity of the Arctic Ocean During 2011-2017
, Proc. SPIE 11150, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2019, 111500L, doi: 10.1117/12.2532985.
Tchilibou, M., Delcroix, T., Alory, G., and Reverdin, G. (2015).
Variations of the Tropical Atlantic and Pacific SSS Minimum Zones and their Relations to the ITCZ and SPCZ Rain Bands (1979-2009)
, J. Geophys. Res.-Oceans, 120 (7), 5090-5100, doi: 10.1002/2015JC010836.
Konings, A.G., Piles, M., Rotzer, K., McColl, K.A., Chan, S.K., and Entekhabi, D. (2015).
Vegetation Optical Depth and Scattering Albedo Retrieval Using Time Series of Dual-polarized L-band Radiometer Observations
, Remote Sens. Environ., 172, 178-189, doi: 10.1016/j.rse.2015.11.009.
Thushara, V., Vinayachandran, P., Matthews, A., Webber, B., and Queste, B. (2019).
Vertical Distribution of Chlorophyll in Dynamically Distinct Regions of the Southern Bay of Bengal
, Biogeosciences, 16(7), 1447-1468, doi: 10.5194/bg-16-1447-2019.
Henocq, C., Boutin, J., Petitcolin, F., Reverdin, G., Arnault, S., and Lattes, P. (2010).
Vertical Variability of Near-Surface Salinity in the Tropics: Consequences for L-Band Radiometer Calibration and Validation
, J. Atmos. Ocean. Tech., 27 (1), 192-209, doi: 10.1175/2009jtecho670.1.
Bingham, F.M., Reinicke, B., Vetter, R., and Kline, D. (2012).
Visualization of the SPURS Experiment Using Google Earth
, Ann. M.S. C.S. I.S., 6 (1), paper 4.
Reagan, J., Seidov, D., and Boyer, T. (2018).
Water Vapor Transfer and Near-Surface Salinity Contrasts in the North Atlantic Ocean
, Sci. Rep. -UK, (8330), doi: 10.1038/s41598-018-27052-6.
Brucker, L., Dinnat, E.P., and Koenig, L.S. (2014).
Weekly Gridded Aquarius L-band Radiometer/Scatterometer Observations and Salinity Retrievals Over the Polar Regions - Part 1: Product Description
, The Cryosphere, 8, 905-913, doi:10.5194/tc-8-905-2014.
Brucker, L., Dinnat, E.P., and Koenig, L.S. (2014).
Weekly Gridded Aquarius L-band Radiometer/Scatterometer Observations and Salinity Retrievals Over the Polar Regions - Part 2: Initial Product Analysis
, The Cryosphere, 8, 915-930, doi:10.5194/tc-8-915-2014.
Qu, T., Gao, S., and Fukumori, I. (2011).
What Governs the North Atlantic Salinity Maximum in a Global GCM?
, Geophys. Res. Lett., 38 (L07602), doi: 10.1029/2011GL046757.
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.
Chronis, T., Koshak, W., and McCaul, E. (2016).
Why Do Oceanic Negative Cloud-to-Ground Lightning Exhibit Larger Peak Current Values?
, J. Geophys. Res.-Atmos., 121 (8), 4049-4068, doi: 10.1002/2015JD024129.
Grodsky, S.A., Reverdin, G., Carton, J.A., and Coles, V.J. (2014).
Year-to-Year Salinity Changes in the Amazon Plume: Contrasting 2011 and 2012 Aquarius/SAC-D and SMOS Satellite Data
, Remote Sens. Environ., 140, 14-22, doi: 10.1016/j.rse.2013.08.033.
Note: Year and sorting are based on the date of online publication [YYYY-MM-DD (YYYY-01-01 or YYYY-MM-01 if month and/or day are unknown)] or, in the case of MS theses or PhD dissertations, available graduation or defense dates.