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2016 Articles

Anderson, Daniel C., Julie M. Nicely, Ross J. Salawitch, Timothy P. Canty, Russell R. Dickerson, et al, 2016: A pervasive role for biomass burning in tropical high ozone/low water structures, Nat. Commun., 7, 10267, doi: 10.1038/ncomms10267

Anderson, Martha C., Cornelio A. Zolin, Paulo C. Sentelhas, Christopher R. Hain, Kathryn Semmens, M. Tugrul Yilmaz, Feng Gao, Jason A. Otkin and Robert Tetrault, 2016: The Evaporative Stress Index as an indicator of agricultural drought in Brazil: An assessment based on crop yield impacts, Remote Sens. Environ., 174, 82–99, http://dx.doi.org/10.1016/j.rse.2015.11.034

Bali, M., Mittaz, J. P., Maturi, E., and Goldberg, M. D., 2016: Comparisons of IASI-A and AATSR measurements of top-of-atmosphere radiance over an extended period, Atmos. Meas. Tech., 9, 3325-3336, http://dx.doi.org/10.5194/amt-9-3325-2016

Barth, M. C., …Xinrong Ren et al., 2016: Convective transport and scavenging of peroxides by thunderstorms observed over the central U.S. during DC3, J. Geophys. Res. Atmos., 121, 4272–4295, http://dx.doi.org/10.1002/2015JD024570

Battye, William H., Casey D. Bray, Viney P. Aneja, Daniel Tong, Pius Lee and Youhua Tang, 2016: Evaluating ammonia (NH3) predictions in the NOAA National Air Quality Forecast Capability (NAQFC) using in situ aircraft, ground-level, and satellite measurements from the DISCOVER-AQ Colorado campaign, Atmos. Environ., 140, 342–351, http://dx.doi.org/10.1016/j.atmosenv.2016.06.021

Behrangi, A., …Robert Adler…, et al. 2016), Status of high-latitude precipitation estimates from observations and reanalyses, J. Geophys. Res. Atmos., 121, 4468– 4486, doi:10.1002/2015JD024546

Berndt, Emily B., Bradley T. Zavodsky, and Michael J. Folmer, 2016: Development and application of atmospheric infrared sounder ozone retrieval products for operational meteorology, IEEE Trans. Geosci. Remote Sens., 54, 958–967, doi:10.1109/TGRS.2015.2471259

Bitzer, P. M., Burchfield, J. C., and Christian, H. J., 2016: A Bayesian approach to assess the performance of lightning detection systems. J. Atmos. Oceanic Technol., 33, 563–578

Brune, W. H., B. C. Baier, J. Thomas, X. Ren, R. C. Cohen,  S. E. Pusede, E. Browne, A.H. Goldstein, D. R. Gentner,  F. N. Keutsch, J. Thornton, S. Harrold, F. Lopez-Hilfiker, P. O. Wennberg, 2016: Ozone production chemistry in the presence of urban plumes, Faraday Discuss., 189, 169–189, doi:10.1039/C5FD00204D

Cao, Yunfeng, Shunlin Liang, Tao He, and Xiaona Chen, 2016: Evaluation of Four Reanalysis Surface Albedo Data Sets in Arctic Using a Satellite Product, IEEE Geosci. Remote Sens. Lett., 13, 384–388, doi:10.1109/LGRS.2016.2515159

Chen, Jin, Yuhan Rao, Miaogen Shen, Cong Wang, Yuan Zhou, Lei Ma, Yanhong Tang, and Xi Yang, 2016: A simple method for detecting phenological change from time series of vegetation index, IEEE Trans. Geosci. Remote Sens., 54, 3436–3449, doi: 10.1109/TGRS.2016.2518167

Chen, Xiaona, Shunlin Liang, Yunfeng Cao and Tao He, 2016: Distribution, attribution, and radiative forcing of snow cover changes over China from 1982 to 2013, Clim. Change, 137, 363–377, doi:10.1007/s10584-016-1688-z

Choi, T., Shao, X., Cao, C. and Weng, F., 2016: Radiometric stability monitoring of the Suomi NPP Visible Infrared Imaging Radiometer Suite (VIIRS) reflective solar bands using the moon, Remote Sens, 8, 15

​​Claverie, Martin, Jessica L. Matthews, Eric F. Vermote, and Christopher O. Justice, 2016: A 30+ Year AVHRR LAI and FAPAR Climate Data Record: Algorithm description and validation, Remote Sens., 8, 263; doi:10.3390/rs8030263

Cohen, Mark D., Roland R. Draxler, Richard S. Artz, Pierrette Blanchard, Mae Sexauer Gustin, Young-Ji Han, Thomas M. Holsen, Daniel A. Jaffe, Paul Kelley, Hang Lei, Christopher P. Loughner, Winston T. Luke, Seth N. Lyman, David Niemi...Xinrong Ren et al., 2016: Modeling the global atmospheric transport and deposition of mercury to the Great Lakes, Elementa Sci. Anthropocene, 4, 000118, http://dx.doi.org/10.12952/journal.elementa.000118

Datla, R., Shao, X., Cao, C., and Wu, X., 2016: Comparison of the calibration algorithms and SI traceability of MODIS, VIIRS, GOES, and GOES-R ABI sensors. Remote Sens., 8, 126

Dong, Xinyi, Joshua S. Fu, Kan Huang, Daniel Tong, and Guoshun Zhuang, 2016: Model development of dust emission and heterogeneous chemistry within the Community Multiscale Air Quality modeling system and its application over East Asia, Atmos. Chem. Phys., 16, 8157–8180, http://www.atmos-chem-phys.net/16/8157/2016/

Eslinger, Paul, Ted W. Bowyer, Pascal Achim, Tianfeng Chai,…Fantine Ngan…et. al., 2016: International challenge to predict the impact of radioxenon releases from medical isotope production on a comprehensive nuclear test ban treaty sampling station, J. Environ. Radioact., 157, 41–51, http://dx.doi.org/10.1016/j.jenvrad.2016.03.001

Fang, Li, Christopher R. Hain, Xiwu Zhan and Martha C. Anderson, 2016: An inter-comparison of soil moisture data products from satellite remote sensing and a land surface model, Int. J. Appl. Earth Obs. Geoinf., 48, 37–50, http://dx.doi.org/10.1016/j.jag.2015.10.006

Free, Melissa, Bomin Sun and Hye Lim Yoo, 2016: Comparison between total cloud cover in four reanalysis products and cloud measured by visual observations at U.S. weather stations, J. Clim., 29, 2015–2021,  http://dx.doi.org/10.1175/JCLI-D-15-0637.1

Gebremariam, Sium, Belay Demoz, Churchill Okonkwo, and Ricardo K. Sakai, 2016: An Observational and Model Characterization of Vertical Structure of Wind Fields over Eastern United States: A Case Study of Sterling, Virginia, Adv. Meteor., 2016, 2020379, http://dx.doi.org/10.1155/2016/2020379

Giglio, L., Schroeder, W., and Justice, C.O., 2016: The collection 6 MODIS active fire detection algorithm and fire products. Remote Sens. Environ., 178, 31-41.

Gladkova, I., A. Ignatov, F. Shahriar, Y. Kihai, D. Hillger, and B. Petrenko, 2016: Improved VIIRS and MODIS SST Imagery, Remote Sens.8, 79

Goldberg, Daniel L., Timothy P. Vinciguerra, Daniel C. Anderson, Linda Hembeck, Timothy P. Canty, Sheryl H. Ehrman, Douglas K. Martins, Ryan M. Stauffer, Anne M. Thompson, Ross J. Salawitch and Russell R. Dickerson, 2016: CAMx ozone source attribution in the eastern United States using guidance from observations during DISCOVER-AQ Maryland, Geophys. Res. Lett., 43, 2249–2258, http://dx.doi.org/10.1002/2015GL067332

Gravelle, Chad M. , John R. Mecikalski, William E. Line, Kristopher M. Bedka, Ralph A. Petersen, Justin M. Sieglaff, Geoffrey T. Stano, and Steven J. Goodman, 2016: Demonstration of a GOES-R satellite convective toolkit to “bridge the gap” between severe weather watches and warnings: An example from the 20 May 2013 Moore, Oklahoma, Tornado Outbreak, Bull. Amer. Meteor. Soc., 97, 69–84, http://dx.doi.org/10.1175/BAMS-D-14-00054.1

Guo, Jianping, Huan Liu, Fu Wang, Jingfeng Huang, Feng Xia, Mengyun Lou, Yerong Wu, Jonathan H. Jiang, Tao Xie, Yangzong Zhaxi and Yuk L. Yung, 2016: Three-dimensional structure of aerosol in China: A perspective from multi-satellite observations, Atmos. Res., 178–179, 580–589, http://dx.doi.org/10.1016/j.atmosres.2016.05.010

He, Hao, Konstantin Y. Vinnikov, Can Li, Nickolay A. Krotkov, Andrew R. Jongeward, Zhanqing Li, Jeffrey W. Stehr, Jennifer C. Hains, and Russell R. Dickerson, 2016: Response of SO2 and particulate air pollution to local and regional emission controls: A case study in Maryland, Earth's Future, 4, 94–109, http://dx.doi.org/10.1002/2015EF000330

Hobbins, Michael T., Andrew Wood, Daniel J. Mcevoy, Justin l. Huntington, Charles Morton, Martha Anderson and Christopher Hain, 2016: The Evaporative Demand Drought Index. Part I: Linking drought evolution to variations in evaporative demand, J. Hydrometeor., 17, 1745–1761, doi:10.1175/JHM-D-15-0121.1

Holmes, Thomas R. H., Christopher R. Hain, Martha C. Anderson and Wade T. Crow, 2016: Cloud tolerance of remote-sensing technologies to measure land surface temperature, Hydrol. Earth Syst. Sci., 20, 3263–3275, doi:10.5194/hess-20-3263-2016, www.hydrol-earth-syst-sci.net/20/3263/2016/

Huang, B., P. Thorne, T. Smith, W. Liu, J. Lawrimore, V. Banzon, H. Zhang, T. Peterson, and M. Menne, 2016: Further Exploring and Quantifying Uncertainties for Extended Reconstructed Sea Surface Temperature (ERSST) Version 4 (v4), J. Climate29, 3119–3142, http://dx.doi.org/10.1175/JCLI-D-15-0430.1

Huang, Jingfeng,  Shobha Kondragunta, Istvan Laszlo, Hongqing Liu, Lorraine A. Remer, Hai Zhang, Stephen Superczynski, Pubu Ciren, Brent N. Holben and Maksym Petrenko, 2016: Validation and expected error estimation of Suomi-NPP VIIRS aerosol optical thickness and Ångström exponent with AERONET, J. Geophys. Res.: Atmos., 121, http://dx.doi.org/10.1002/2016JD024834

Huang, Min, Pius Lee, Richard McNider, James Crawford, Eric Buzay, John Barrick, Yuling Liu and Praveena Krishnan, 2016: Temporal and spatial variability of daytime land surface temperature in Houston: Comparing DISCOVER-AQ aircraft observations with the WRF model and satellites, J. Geophys. Res.: Atmos., 121, 185–195, doi:10.1002/2015JD023996, http://agupubs.onlinelibrary.wiley.com/agu/issue/10.1002/jgrd.v121.1/

Jiang, L-Q., K. M. Arzayus, J.-P. Gattuso, H. Garcia, C. Chandler, A. Kozyr, Y. Yang, R. Thomas, B. Beck, and T. Spears, 2016: How to document ocean acidification data, Limnol. Oceanogr.: e-Lectures, doi:10.1002/loe2.10004

Jing, X., Shao, X., Cao, C., Fu, X., and Yan, L., 2016: Comparison between the Suomi-NPP Day-Night Band and DMSP-OLS for correlating socio-economic variables at the provincial level in China. Remote Sens., 8, 17

Johnson, G. C.; J. Reagan, J. M. Lyman, T. Boyer, C. Schmid and R. Locarnini, 2016: Salinity [in “State of the Climate in 2015”], Bull. Amer. Meteor. Soc., 97, S70–S74, doi:10.1175/2016BAMSStateoftheClimate.1

Johnson, Tamara A. Newcomer, Sujay S. Kaushal, Paul M. Mayer, Rose M. Smith and Gwen M. Sivirichi, 2016: Nutrient retention in restored streams and rivers: A global review and synthesis, Water, 8, 116, doi:10.3390/w8040116

Kenney, Melissa A., Anthony C. Janetos and Glynis C. Lough, 2016: Building an integrated U.S. National Climate Indicators System, Clim. Change, 135, 85–96, doi:10.1007/s10584-016-1609-1

Kim, H. C., P. Lee, L. Judd, L. Pan, and B. Lefer, 2016: OMI NO2 column densities over North American urban cities: the effect of satellite footprint resolution, Geosci. Model Dev., 9, 1111–1123, doi:10.5194/gmd-9-1111-2016, http://www.geosci-model-dev.net/9/1111/2016/

Koner, Prabhat K., and Andrew R. Harris, 2016: Hybrid cloud and error masking to improve the quality of deterministic satellite sea surface temperature retrieval and data coverage, Remote Sens. Environ., 174, 266–278, http://dx.doi.org/10.1016/j.rse.2015.12.015

Koner, Prabhat K., Andrew R. Harris and Eileen Maturi, 2016: Improved quality of MODIS sea surface temperature retrieval and data coverage using physical deterministic methods, Remote Sens., 8, 454, doi:10.3390/rs8060454

Krotkov, Nickolay A., Chris A. McLinden, Can Li, Lok N. Lamsal, Edward A. Celarier, Sergey V. Marchenko, William H. Swartz, Eric J. Bucsela, Joanna Joiner, Bryan N. Duncan, K. Folkert Boersma, J. Pepijn Veefkind, Pieternel F. Levelt, Vitali E. Fioletov, Russell R. Dickerson, Hao He, Zifeng Lu, and David G. Streets, 2016: Aura OMI observations of regional SO2 and NO2 pollution changes from 2005 to 2015, Atmos. Chem. Phys., 16, 4605–4629, doi:10.5194/acp-16-4605-2016, http:// www.atmos-chem-phys.net/16/4605/2016/

Kumar, S., B. Zaitchik, C. Peters-Lidard, M. Rodell, R. Reichle, B. Li, M. Jasinski, D. Mocko, A. Getirana, G. De Lannoy, M. Cosh, C. Hain, M. Anderson, K. Arsenault, Y. Xia, and M. Ek,  2016: Assimilation of gridded GRACE terrestrial water storage estimates in the North American Land Data Assimilation System, J. Hydrometeor., 17, 1951-1972, http://dx.doi.org/10.1175/JHM-D-15-0157.1

Li, Xiangshang, Y. Choi, B. Czader, H. Kim, B. Lefer, and S. Pan: The impact of observation nudging on simulated meteorology and ozone concentrations during DISCOVER-AQ 2013 Texas campaign, , Atmos. Chem. Phys., 16, 3127-3144, doi:10.5194/acp-16-3127-2016, http://www.atmos-chem-phys.net/16/3127/2016/

Liang, Liang, Mark D. Schwartz and Xiaoyang Zhang, 2016: Mapping temperate vegetation climate adaptation variability using normalized land surface phenology, Climate, 4, 24, http://dx.doi.org/10.3390/cli4020024

Liang, Liang, and Xiaoyang Zhang, 2016; Coupled Spatiotemporal variability of temperature and Spring Phenology in the Eastern U.S., Int. J. Climatol., 36, 1744–1754,http://dx.doi.org/10.1002/joc.4456

Lord, Stephen, George Gayno and Fanglin Yang, 2016: Analysis of an Observing System Experiment for the Joint Polar Satellite System, Bull. Amer. Meteor. Soc., 97, 1409-1425, http://dx.doi.org/10.1175/BAMS-D-14-00207.1

Lu, Cheng-Hsuan, Arlindo da Silva, Jun Wang, Shrinivas Moorthi, Mian Chin, Peter Colarco, Youhua Tang, Partha Bhattacharjee, Shen-Po Chen, Hui-Ya Chuang, Hann-Ming Henry Juang, Jeff McQueen, and Mark Iridell, 2016: The implementation of NEMS GFS Aerosol Component (NGAC) Version 1.0 for global dust forecasting at NOAA/NCEP, Geosci. Model Dev., 9, 1905–1919, doi:10.5194/gmd-9-1905-2016, http://www.geosci-model-dev.net/9/1905/2016/

Maggioni, Viviana, Patrick Meyers, and Monique Robinson , 2016: A review of merged high resolution satellite precipitation product accuracy during the Tropical Rainfall Measuring Mission (TRMM) Era, J. Hydrometeor.: IPWG Special Collection 17, 1101–1117,  http://dx.doi.org/10.1175/JHM-D- 15-0190.1

Mallampalli, Varun Rao , Georgia Mavrommati , Jonathan Thompson , Matthew Duveneck , Spencer Meyer , Arika Ligmann-Zielinska , Caroline Gottschealk  Druschke , Kristen Hychka , Melissa A. Kenney , Kasper Kok , and Mark E. Borsuk, Methods for Translating Narrative Scenarios into Quantitative Assessments of Land Use Change, Environ. Modell. Software, 82, 7-20, http://dx.doi.org/10.1016/j.envsoft.2016.04.011

McEvoy, Daniel J., Justin L. Huntington, Michael T. Hobbins, Andrew Wood, Charles Morton, Martha Anderson and Christopher Hain, 2016: The Evaporative Demand Drought Index. Part II: CONUS-Wide Assessment against Common Drought Indicators, J. Hydrometeor., 17, 1763–1779, doi:10.1175/JHM-D-15-0122.1

Meng, F., J. Y. Xin, C. Y. Cao, X. Shao, B. Y. Shan & Q. F. Xiao, 2016: Seasonal variations in aerosol optical thickness over eastern China determined from VIIRS data and ground measurements, Int. J. Remote Sens., 37, 1868-1880, doi:10.1080/01431161.2016.1163750, http://dx.doi.org/10.1080/01431161.2016.1163750

Meyers, P. C., and R. R. Ferraro, 2016: Precipitation From the Advanced Microwave Scanning Radiometer 2, IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., 9, 2611–2618, doi:10.1109/JSTARS.2015.2513666

Meyers, P. C., L. K. Shay, J. K. Brewster, and B. Jaimes, 2016: Observed ocean thermal response to Hurricanes Gustav and Ike, J. Geophys. Res. Oceans, 121,162–179, http://dx.doi.org/10.1002/2015JC010912

Moradi, Isaac, Philip Arkin, Ralph Ferraro, Patrick Eriksson and Eric Fetzer, 2016: Diurnal variation of tropospheric relative humidity in tropical region, Atmos. Chem. Phys. 16, 6913–6929,  doi:10.5194/acp-16-6913-2016, http://www.atmos-chem-phys.net/16/6913/2016/  

Motte, Erwan, Mehrez Zribi, Pascal Fanise, Alejandro Egido, et al., 2016: GLORI: A GNSS-R Dual Polarization Airborne Instrument for Land Surface Monitoring, Sensors, 16, 732, doi:10.3390/s16050732

Nault, B. A., C. Garland, P. J. Wooldridge, W. H. Brune, P. Campuzano-Jost, J. D. Crounse,  D. A. Day, J. Dibb, S. R. Hall, G. Huey, J. L. Jimenez, X. Liu, J. Mao, T. Mikoviny, J. Peischl, I. B. Pollack, X. Ren, T. B. Ryerson, E. Scheuer, K. Ullmann, P. O. Wennberg, A. Wisthaler, Li Zhang, and Ronald C. Cohen, 2016: Observational Constraints on the Oxidation of NOx in the Upper Troposphere, J. Phys. Chem. A, 120, 1468–1478, doi:10.1021/acs.jpca.5b07824

Nowlan, Caroline R., Xiong Liu, James W. Leitch, Kelly Chance, Gonzalo González Abad, Cheng Liu...Christopher P. Loughner...Paul Kelley...Xinrong Ren and Jassim A. Al-Saadi, 2016: Nitrogen dioxide observations from the Geostationary Trace gas and Aerosol Sensor Optimization (GeoTASO) airborne instrument: Retrieval algorithm and measurements during DISCOVER-AQ Texas 2013, Atmos. Meas. Tech., 9, 2647–2668,  doi:10.5194/amt-9-2647-2016, http://www.atmos-meas-tech.net/9/2647/2016/

Petty, A., M. Tsamados, N. Kurtz, S. Farrell, T. Newman, J. Harbeck, D. Feltham and J. Richter-Menge, Characterizing Arctic sea ice topography using high-resolution IceBridge data, The Cryosphere, 10, 1161–1179, doi:10.5194/tc-10-1161-2016, http://www.the-cryosphere.net/10/1161/2016/

Petty, A. A., J. K. Hutchings, J. A. Richter-Menge, and M. A. Tschudi, 2016: Sea ice circulation around the Beaufort Gyre: The changing role of wind forcing and the sea ice state, J. Geophys. Res. Oceans, 121, 3278–3296, doi:10.1002/2015JC010903.

Polefka, Shiva, and Ariana Sutton-Grier, 2016: Making ecosystem services part of business as usual in federal governance, Front. Ecol. Environ., 14, 175, doi:10.1002/fee.1267

Prava, V., R.T. Clemen, B.F. Hobbs, and M.A. Kenney. 2015: Partition dependence and carryover biases in subjective probability assessment surveys for continuous variables: Model-based estimation and correction, Decis. Anal., 13, 51-67, http://dx.doi.org/10.1287/deca.2015.0323

Qiu, Shi, Xi Shao, Changyong Cao, Sirish Uprety, 2016: Feasibility demonstration for calibrating Suomi-National Polar-Orbiting Partnership Visible Infrared Imaging Radiometer Suite day/night band using Dome C and Greenland under moon light, J. Appl. Remote Sens. 10, 016024, doi: 10.1117/1.JRS.10.016024

Rosenfeld, Daniel, Youtong Zheng, et al., 2016: Satellite retrieval of cloud condensation nuclei concentrations by using clouds as CCN chambers, Proc. Natl. Acad. Sci. U. S. A., 113, 5828–5834, http://www.pnas.org/cgi/doi/10.1073/pnas.1514044113

Rudlosky, S. D., M. A. Nichols, P. C. Meyers, and D. F. Wheeler, 2016: Seasonal and annual validation of operational satellite precipitation estimates. J. Operational Meteor., 4, 58-74, doi: http://dx.doi.org/10.15191/nwajom.2016.0405

Schenk, T., B. M. Csatho and Kyle Duncan, 2016: Fusion of laser altimetry data with DEMS derived from stereo imaging systems, Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci., XLI-B8, 531, doi:10.5194/isprsarchives-XLI-B8-531-2016; http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B8/531/2016/

Shao, X., Cao, C., and Liu, T.-C., 2016: Spectral dependent degradation of the solar diffuser on Suomi-NPP VIIRS due to surface roughness-induced Rayleigh Scattering. Remote Sens. 8, 254

Seidel, D. J., J. Li, C. Mears, I. Moradi, J. Nash, W. J. Randel, R. Saunders, D. W. J. Thompson, and C.-Z. Zou, 2016: Stratospheric temperature changes during the satellite era, J. Geophys. Res. Atmos., 121, 664–681, doi:10.1002/2015JD024039

Simons, Gijs, Wim Bastiaanssen, Le An Ngô , Christopher R. Hain, Martha Anderson and Gabriel Senay, 2016: Integrating global satellite-derived data products as a pre-analysis for hydrological modelling studies: A case study for the Red River Basin, Remote Sens., 8, 279, doi:10.3390/rs8040279.

Sluka, T. C., S. G. Penny, E. Kalnay, and T. Miyoshi, 2016: Assimilating atmospheric observations into the ocean using strongly coupled ensemble data assimilation, Geophys. Res. Lett., 43, 752–759, doi:10.1002/2015GL067238

Søiland, H., L. Chafik, and T. Rossby, 2016: On the long-term stability of the Lofoten Basin Eddy, J. Geophys. Res. Oceans, 121, 4438–4449, doi:10.1002/2016JC011726

Sutton-Grier, Ariana E., and Amber Moore, 2016: Leveraging carbon services of coastal ecosystems for habitat protection and restoration, Coastal Manage., 44, 259–277, http://dx.doi.org/10.1080/08920753.2016.1160206

Tang, F. ; Zou, X. ; Yang, H. ; Weng, F, 2016:  Estimation and Correction of Geolocation Errors in FengYun-3C Microwave Radiation Imager Data. IEEE Trans. Geosci. Remote Sens., 54, 407–420

Turk. Francis, Ziad Hadda and Yalei You, 2016: Estimating non-raining surface parameters to assist GPM constellation radiometer precipitation algorithm, J. Atmos. Oceanic Technol., 33, 1333–1353, DOI: 10.1175/JTECH-D-15-0229.1

Uz, S. Schollaert, 2016: Building intuition for in-water optics and ocean color remote sensing: Spectrophotometer activity with littleBits™, Oceanogr. 29, 98–103, http://dx.doi.org/10.5670/oceanog.2016.01

Vogel, Ronald L., and Christopher W. Brown, 2016, Assessing satellite sea surface salinity from ocean color radiometric measurement for coastal hydrodynamic model data assimilation, J. Appl. Remote Sens. 10, 036003, http://dx.doi.org/10.1117/1.JRS.10.036003

Wang, Dongdong, and Shunlin Liang, 2016, Estimating high-resolution top of atmosphere albedo from Moderate Resolution Imaging Spectroradiometer data, Remote Sens. Environ., 178, 93-103, http://dx.doi.org/10.1016/j.rse.2016.03.008

Wang, Likun, Denis Tremblay, Bin Zhang and Yong Han, 2016: Fast and Accurate Collocation of the Visible Infrared Imaging Radiometer Suite Measurements with Cross-Track Infrared Sounder, Remote Sens. 8, 76, http://dx.doi.org/10.3390/rs8010076

Wang, Zhuo, and Changyong Cao, 2016: Assessing the effects of Suomi NPP VIIRS M15/M16 detector radiometric stability and relative spectral response variation on striping. Remote Sens., 8, 145, doi:10.3390/rs8020145

Warner, Juying X., Zigang Wei, L. Larrabee Strow, Russell R. Dickerson and John B. Nowak, 2016: The global tropospheric ammonia distribution as seen in the 13-year AIRS measurement record, Atmos. Chem. Phys., 16, 5467–5479, doi:10.5194/acp-16-5467-2016, http://www.atmos-chem-phys.net/16/5467/2016/

Wylie, Lindsay, Ariana Sutton-Grier, and Amber Moore, 2016: Keys to successful blue carbon projects: Lessons learned from global case studies, Mar. Policy, 65, 76-84, http://dx.doi.org/10.1016/j.marpol.2015.12.020

Xue, Liang, HuiwuWang, Li-Qing Jiang, Wei-Jun Cai, Qinsheng Wei, Hongjun Song, Rita Tisiana Dwi Kuswardani, Widodo S. Pranowo, Brian Beck, Lin Liu and Weidong Yu, 2016: Aragonite saturation state in a monsoonal upwelling system off Java, Indonesia, J. Mar. Syst., 153, 10-17, http://dx.doi.org/10.1016/j.jmarsys.2015.08.003

Yan, D., Zhang, X., Yu, Y. Guo, W., 2016 A Comparison of tropical rainforest phenology retrieved from geostationary (SEVIRI) and polar-orbiting (MODIS) sensors across the Congo Basin, IEEE Trans. Geosci. Remote Sens., 54, 4867–4881, doi: 10.1109/TGRS.2016.2552462

Yang, Hu, Fuzhong Weng, and Kent Anderson, 2016:  Estimation of ATMS antenna emission from cold space observations, IEEE Trans. Geosci. Remote Sens., 54, 4479–4487, doi:10.1109/TGRS.2016.2542526

Yang, Hu, and Fuzhong Weng, 2016: On-Orbit ATMS Lunar Contamination Corrections, IEEE Trans. Geosci. Remote Sens., 54, 1-7

Yang, Wenze, Viju O. John, Xuepeng Zhao, Hui Lu and Kenneth R. Knapp, 2016: Satellite Climate Data Records: Development, Applications, and Societal Benefits, Remote Sens., 8, 331, doi:10.3390/rs8040331

Yin, Jifu, Xiwu Zhan, Youfei Zheng, Christopher R. Hain, Michael Ek, Jun Wen, Li Fang, and Jicheng Liu, 2016: Improving Noah land surface model performance using near real time surface albedo and green vegetation fraction, Agric. For. Meteor., 219, 171–183, http://dx.doi.org/10.1016/j.agrformet.2015.12.001.

You, Yalei, Nai-Yu Wang, Ralph Ferraro and Patrick Meyers, 2016: A Prototype Precipitation Retrieval Algorithm over Land for ATMS, J. Hydrometeor.: IPWG Special Collection 17, 1601–1621, doi:10.1175/JHM-D-15-0163.1

Zhang, Fang, Zhanqing Li, Yanan Li, Yele Sun, Zhenzhu Wang, Ping Li, Li Sun, Pucai Wang, Maureen Cribb, Chuanfeng Zhao, Tianyi Fan, Xin Yang, and QingqingWang, 2016: Impacts of organic aerosols and its oxidation level on CCN activity from measurement at a suburban site in China, Atmos. Chem. Phys., 16, 5413–5425, doi:10.5194/acp-16-5413-2016, http://www.atmos-chem-phys.net/16/5413/2016/

Zhang, Rui, Chengquan Huang, Xiwu Zhan, Qin Dai, and Kuan Song, 2016: Development and validation of the Global Surface Type Data Product from S-NPP VIIRS. Remote Sens. Lett., 7, 51-60

Zhang, Xiaoyang, and Qingyuan Zhang, 2016: Monitoring interannual variation in global crop yield using long-term AVHRR and MODIS observations, J. Photogramm. Remote Sens. 114, 191–205, http://dx.doi.org/10.1016/j.isprsjprs.2016.02.010

Zhao, Hongmei, Daniel Q. Tong, Pius Lee, Hyuncheol Kim and Hang Lei, 2016: Reconstructing fire records from ground-based routine aerosol monitoring, Atmosphere, 7, 43, doi:10.3390/atmos7030043

Zhi, H., R. Zhang, F. Zheng, P. Lin, L. Wang, and P. Yu, 2016: Assessment of interannual sea surface salinity variability and its effects on the barrier layer in the equatorial Pacific using BNU-ESM, Adv. Atmos. Sci., 33, 339-351, doi: 10.1007/s00376-015-5163-y

Zhou, Y., D. Wang, S. Liang, Y. Yu, and T. He, 2016: Assessment of the Suomi NPP VIIRS land surface albedo data using station measurements and high-resolution albedo maps. Remote Sens., 8, 137, doi: 10.3390/rs8020137

Zhu, Jieshun, Arun Kumar, Bohua Huang, Magdalena A. Balmaseda, Zeng-Zhen Hu, Lawrence Marx and James L. Kinter III, 2016: The role of off-equatorial surface temperature anomalies in the 2014 El Niño prediction, Sci. Rep., 6, 19677,  http://dx.doi.org/10.1038/srep19677

Zhu, Jieshun, and Jagadish Shukla, 2016: Estimation of weather noise in coupled ocean–atmosphere systems using initialized simulations,J. Climate, 29, 5675–5688, doi:10.1175/JCLI-D-15-0737.1

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