Acronyms Site Map

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. 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. Grodsky, S.A., Carton, J.A., and Bryan, F.O. (2014a). 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. 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). Akhil, V.P., Lengaigne, M., Vialard, J., Durand, F., Keerthi, M.G., Chaitanyi, A.V.S., Papa, F., Gopalakrishna, V.V., and Montegut, C. (2016b). 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. Wang, J., Zhang, J., Fan, C., and Wang, J. (2015a). 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. 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. 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. Hejazin, Y. (2016). 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 Ba, 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. (2004). 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). 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. Lang, R., Zhou, Y., Utku, C., and Le Vine, D. (2016). 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. 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. 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. 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. (2017). An Enhanced PIRATA Data Set for Tropical Atlantic Ocean-Atmosphere Research, J. Climate. 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. 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. 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. Bruscantini, C.A., Crow, W.T., Grings, F., Perna, P., Maas, M., and Karszenbaum, H. (2014b). 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. Gomez, J.J., and Cassini, M.H. (2014). 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. (2014c). 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. (2016). 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. 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. (2014a). 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. 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. (2013). 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. (2014). 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. Le Vine, D.M., Dinnat, E.P., Lagerloef, G. S. E., de Matthaeis, P., Abraham, S., Utku, C., and Kao, H. (2014b). Aquarius: Status and Recent Results, Radio Sci., 49 (9), 709-720, doi: 10.1002/2014RS005505. deCharon, A. and Le Vine, D. (2014). Aquarius: Two and a Half Years and Going Strong, The Earth Observer, 26 (1), 5-11. Wijesekera, H.W., et al. (2016). ASIRI: An Ocean-Atmosphere Initiative for Bay of Bengal, B. Am. Meteorol. Soc., 97 (10), 1859–1884, doi: 10.1175/BAMS-D-14-00197.1. Colliander, A., Dinnat, E., Le Vine, D., Chae, C.S., and Kainulainen, J. (2015). Assessing Long-Term Stability of SMOS Zero-Baseline Antenna Temperature Using the Aquarius Antenna Temperature Simulator, IEEE Geosci. Remote S., 12 (8), 1680-1684, doi: 10.1109/LGRS.2015.2419173. Ratheesh, S., Sharma, R., Sikhakolli, R., Kumar, R., and Basu, S. (2014). Assessing Sea Surface Salinity Derived by Aquarius in the Indian Ocean, IEEE Geosci. Remote S., 11 (4), 719-722, doi: 10.1109/LGRS.2013.2277391. Vinogradova, N.T. and Ponte, R.M. (2012). Assessing Temporal Aliasing in Satellite-Based Surface Salinity Measurements, J. Atmos. Ocean. Tech., 29 (9), 1391-1400, doi: 10.1175/JTECH-D-11-00055.1. Xia, SZ., Ke, CQ., Zhou, XB., and Zhang, J. (2016). Assessment and Adjustment of Sea Surface Salinity Products from Aquarius in the Southeast Indian Ocean Based on In Situ Measurement and MyOcean Modeled Data, Acta Oceanol. Sin., 35 (3), 54-62, doi: 10.1007/s13131-016-0818-9. Wang, X., Yang, J., Zhao, D., Wang, X., and Sun., G. (2013). Assessment of Aquarius/SAC-D Salinity Data Accuracy in the South China Sea, J. Tropic. Oceanogr., 32 (5), 23-28, doi: 10.3969/j.issn.1009-5470.2013.05.004. Akhil, V. P., Lengaigne, M., Durand, F., Vialard, J., Chaitanya, A.V.S., Keerthi, M.G., Gopalakrishna, V.V., Boutin, J., and Montegut, C.D. (2016a). Assessment of Seasonal and Year-to-Year Surface Salinity Signals Retrieved from SMOS and Aquarius Missions in the Bay of Bengal, Int. J. Remote Sens., 37 (5), 1089-1114, doi: 10.1080/01431161.2016.1145362. Liu, P.-W., Bongiovanni, T., Monsivais-Huertero, A., Judge, J., Steele-Dunne, S., Bindlish, R., and Jackson, T.J. (2016). Assimilation of Active and Passive Microwave Observations for Improved Estimates of Soil Moisture and Crop Growth, IEEE J. Sel. Top. Appl., 9 (4), 1357-1369, doi: 10.1109/JSTARS.2015.2506504. Ratheesh, S., Chakraborty, A., Sharma, R., and Basu, S. (2016). Assimilation of Satellite Chlorophyll Measurements into a Coupled Biophysical Model of the Indian Ocean with a Guided Particle Filter, Remote Sens. Lett., 7 (5), 446-455, doi: 10.1080/2150704X.2016.1143985. DeMott, C.A., Klingaman, N.P., and Woolnough, S.J. (2015). Atmosphere-ocean Coupled Processes in the Madden-Julian Oscillation, Rev. Geophys., 53 (4), 1099-1154, doi: 10.1002/2014RG000478. Gordon, A.L., Shroyer, E.L., Mahadevan, A., Sengupta, D., and Freilich, M. (2016).  Bay of Bengal: 2013 Northeast Monsoon Upper-Ocean Circulation, Oceanography, 28 (2), 82-91, doi: 10.5670/oceanog.2016.41. Li, Y., Han, W. 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Biswas, S.K. (2012). Brightness Temperature Calibration of SAC-D/Aquarius Microwave Radiometer (MWR), Dissertation (PhD). Piepmeier, J.R. (2004). Calibration of Passive Microwave Polarimeters that Use Hybrid Coupler-Based Correlators, IEEE Geosci. Remote, 42 (2), 391-400, doi:10.1109/TGRS.2003.817792. Meissner, T., Ricciardulli, L., and Wentz, F.J. (2017). Capability of the SMAP Mission to Measure Ocean Surface Winds in Storms, B. Am. Meteorol. Soc., 98 (7), 1660–1677, doi: doi.org/10.1175/BAMS-D-16-0052.1. Li, Y. and Han, W. (2016). Causes for Intraseasonal Sea Surface Salinity Variability in the Western Tropical Pacific Ocean and Its Seasonality, J. Geophys. Res.-Oceans, 121 (1), 85-103, doi: 10.1002/2015JC011413. Bingham, F.M., Foltz, G.R., McPhaden, M.J. (2012). Characteristics of the Seasonal Cycle of Surface Layer Salinity in the Global Ocean, Ocean Sci., 8, 915-929, doi:10.5194/os-8-915-2012. Brown, S.T. and Misra, S. (2016). 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