Published Research

The following references cite studies that used SMMR, SSM/I, or SSMIS data from NSIDC. Please contact User Services if you have a reference you would like to share on this page.

2016

Babb, D. G., et al. 2016. Physical processes contributing to an ice free Beaufort Sea during September 2012. Journal of Geophysical Research - Oceans 121(1): 267–283. doi: http://dx.doi.org/10.1002/2015JC010756.

Barandiaran, Daniel A. 2016. Investigation into Regional Climate Variability using Tree-Ring Reconstruction, Climate Diagnostics and Prediction. Ph. D. Utah State University.

Barthélemy, Antoine, et al. 2016. A multi-column vertical mixing scheme to parameterize the heterogeneity of oceanic conditions under sea ice. Ocean Modelling 102: 28-44. doi: http://dx.doi.org/10.1016/j.ocemod.2016.05.005.

Barthélemy, Antoine, Thierry Fichefet, and Hugues Goosse. 2016. Spatial heterogeneity of ocean surface boundary conditions under sea ice. Ocean Modelling 102: 82–98. doi: http://dx.doi.org/10.1016/j.ocemod.2016.05.003.

Barthélemy, Antoine, Thierry Fichefet, and Hugues Goosse. 2016. Spatial heterogeneity of ocean surface boundary conditions under sea ice. Ocean Modelling 102: 82–98. doi: http://dx.doi.org/10.1016/j.ocemod.2016.05.003.

Bi, Haibo, et al. 2016. Arctic Sea Ice Area Export Through the Fram Strait Estimated From Satellite-Based Data:1988–2012. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 9(7): 3144 - 3157. doi: http://dx.doi.org/10.1109/JSTARS.2016.2584539.

Bi, Haibo, et al. 2016. Arctic Sea Ice Area Export Through the Fram Strait Estimated From Satellite-Based Data:1988–2012. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 9(7): 3144 - 3157. doi: http://dx.doi.org/10.1109/JSTARS.2016.2584539.

Blanchard-Wrigglesworth, E., et al. 2016. Multi-model seasonal forecast of Arctic sea-ice: forecast uncertainty at pan-Arctic and regional scales. Climate Dynamics 49(4): 1399-1410. doi: http://dx.doi.org/10.1007/s00382-016-3388-9.

Blunden, J., and D. S. Arndt, eds. 2016. State of the climate in 2015. Bulletin of the American Meteorological Society 97(8): Si-S275.

Boisvert, Linette N., and Alek A. Petty. 2016. The Impact of the Extreme Winter 2015/16 Arctic Cyclone on the Barents–Kara Seas. Monthly Weather Review 144(11): 4279–4287. doi: http://dx.doi.org/10.1175/MWR-D-16-0234.1.

Brodeau, Laurent, and Torben Koenigk. 2016. Extinction of the northern oceanic deep convection in an ensemble of climate model simulations of the 20th and 21st centuries. Climate Dynamics 46. Art. #2863. doi: http://dx.doi.org/10.1007/s00382-015-2736-5.

Bunzel, Felix, et al. 2016. Seasonal climate forecasts significantly affected by observational uncertainty of Arctic sea ice concentration. Geophysical Research Letters 43(2): 852–859. doi: http://dx.doi.org/10.1002/2015GL066928.

Burt, Melissa Ann. 2016. Interactions of Arctic clouds, radiation, and sea ice in present-day and future climates. . Ph. D. Colorado State University.

Caissie, Beth E., et al. 2016. Bering Sea surface water conditions during Marine Isotope Stages 12 to 10 at Navarin Canyon (IODP Site U1345) . Climate of the Past 12(9): 1739-1763. doi: http://dx.doi.org/10.5194/cp-12-1739-2016.

Cao, Yungfen, et al. 2016. Evaluation of Four Reanalysis Surface Albedo Data Sets in Arctic Using a Satellite Product. IEEE Geoscience and Remote Sensing Letters 13(3): 384-388. doi: http://dx.doi.org/10.1109/LGRS.2016.2515159.

Cao, Yungfen, et al. 2016. Evaluation of Four Reanalysis Surface Albedo Data Sets in Arctic Using a Satellite Product. IEEE Geoscience and Remote Sensing Letters 13(3): 384-388. doi: http://dx.doi.org/10.1109/LGRS.2016.2515159.

Carpenedo, Camila Bertoletti, and Tércio Ambrizzi. 2016. Células de Circulação Meridional Durante os Eventos Extremos de Gelo Marinho Antártico. Revista Brasileira de Meteorologia 31(3): doi: 10.1590/0102-778631320150137.

Cea-Pirón, Miguel Ángel, and Juan Antonio Cano Pasalodos. 2016. Nueva serie de extensión del hielo marino ártico en septiembre entre 1935 y 2014. Revista de Climatologia 16: 1-19. doi: http://dx.doi.org/10.5281/zenodo.44756.

Cea-Pirón, Miguel Ángel, and Juan Antonio Cano Pasalodos. 2016. Nueva serie de extensión del hielo marino ártico en septiembre entre 1935 y 2014. Revista de Climatologia 16: 1-19. doi: http://dx.doi.org/10.5281/zenodo.44756.

Chaudhuri, Ayan H., Rui M. Ponte, and Gael Forget. 2016. Impact of uncertainties in atmospheric boundary conditions on ocean model solutions. Ocean Modelling 100: 96–108. doi: http://dx.doi.org/10.1016/j.ocemod.2016.02.003.

Chen, Hans, Richard B. Alley, and Fuqing Zhang. 2016. Interannual Arctic sea ice variability and associated winter weather patterns: A regional perspective for 1979–2014. Journal of Geophysical Research - Atmospheres 121(24): 14,433–14,455. doi: http://dx.doi.org/10.1002/2016JD024769.

Cheng, Wei, et al. 2016. What processes contribute to the spring and fall bloom co-variability on the Eastern Bering Sea shelf?. Deep-Sea Research Part II - Topical Studies in Oceanography 134: 128-140. doi: http://dx.doi.org/10.1016/j.dsr2.2015.07.009.

Chevallier, Matthieu, et al. 2016. Intercomparison of the Arctic sea ice cover in global ocean–sea ice reanalyses from the ORA-IP project. Climate Dynamics 49(3): 1107–1136. doi: http://dx.doi.org/10.1007/s00382-016-2985-y.

Chi, Junhwa, and Hyun-Cheol Kim. 2016. Forecasting Antarctic Sea Ice Concentrations Using Results of Temporal Mixture Analysis. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Science 41-B8: 459-462. doi: http://dx.doi.org/10.5194/isprsarchives-XLI-B8-459-2016.

Chi, Junhwa, Hyun-Cheol Kim, and Sung-Ho Kang. 2016. Machine learning-based temporal mixture analysis of hypertemporal Antarctic sea ice data. Remote Sensing Letters 7(2): 190-199. doi: http://dx.doi.org/10.1080/2150704X.2015.1121300.

Cimino, Megan. 2016. Local- and large-scale effects of climate change on Pygoscelis penguin habitat and demography. . Ph. D. University of Delaware.

Cisewski, Boris, and Volker H. Strass. 2016. Acoustic insights into the zooplankton dynamics of the eastern Weddell Sea. Progress in Oceanography 144: 62-92. doi: http://dx.doi.org/10.1016/j.pocean.2016.03.005.

Cokelet, Edward D. 2016. 3-D water properties and geostrophic circulation on the eastern Bering Sea shelf. Deep-Sea Research Part II - Topical Studies in Oceanography 134: 65–85. doi: http://dx.doi.org/10.1016/j.dsr2.2016.08.009.

Collow, Thomas W., et al. 2016. How well can the observed Arctic sea ice summer retreat and winter advance be represented in the NCEP Climate Forecast System version 2. Climate Dynamics. doi: http://dx.doi.org/10.1007/s00382-016-3417-8.

Cui, Hongyan, et al. 2016. Northern-Hemisphere snow cover patterns and formation conditions in winter 2007 and 2012. Journal of Ocean University of China 15(3): 407–413. doi: http://dx.doi.org/10.1007/s11802-016-2807-1.

Cullather, Richard I., et al. 2016. Analysis of the warmest Arctic winter, 2015–2016. Geophysical Research Letters 43(20): 10,808–10,816. doi: http://dx.doi.org/10.1002/2016GL071228.

Daniels, Chris J., et al. 2016. Species-specific calcite production reveals Coccolithus pelagicus as the key calcifier in the Arctic Ocean. Marine Ecology Progress Series 555: 29-47. doi: http://dx.doi.org/10.3354/meps11820.

David, Carmen, et al. 2016. Under-ice distribution of polar cod Boreogadus saida in the central Arctic Ocean and their association with sea-ice habitat properties. Polar Biology 39(6): 981-994. doi: http://dx.doi.org/10.1007/s00300-015-1774-0.

Deb, Pranab, et al. 2016. An assessment of the Polar Weather Research and Forecasting (WRF) model representation of near-surface meteorological variables. Journal of Geophysical Research - Atmospheres 121: 1532-1548. doi: http://dx.doi.org/10.1002/ 2015JD024037.

DeRepentigny, Patricia, et al. 2016. Patterns of Sea Ice Retreat in the Transition to a Seasonally Ice-Free Arctic . Journal of Climate 29(19): 6993–7008. doi: http://dx.doi.org/10.1175/JCLI-D-15-0733.1.

Dirmeyer, Paul A., and Subhadeep Halder. 2016. Sensitivity of Numerical Weather Forecasts to Initial Soil Moisture Variations in CFSv2 . Weather and Forecasting 31(6): 1973–1983. doi: http://dx.doi.org/10.1175/WAF-D-16-0049.1.

Divoky, G. J., D. C. Douglas, and I. J. Stenhouse. 2016. Arctic sea ice a major determinant in Mandt's black guillemot movement and distribution during non-breeding season. Biology Letters 12(9). Art. #20160275. doi: http://dx.doi.org/10.1098/rsbl.2016.0275.

Dosser, Hayley V. 2016. Internal Waves in the Western Arctic Ocean. . Ph. D. University of Washington.

Dosser, Hayley V., and Luc Rainville. 2016. Dynamics of the Changing Near-Inertial Internal Wave Field in the Arctic Ocean. Journal of Physical Oceanography 46(2): 395-415. doi: http://dx.doi.org/10.1175/JPO-D-15-0056.1.

Drobyshev, Igor, et al. 2016. Atlantic SSTs control regime shifts in forest fire activity of Northern Scandinavia. Scientific Reports 6. Art. #22532. doi: http://dx.doi.org/10.1038/srep22532.

DuVivier, Alice K., and John J. Cassano. 2016. Comparison of wintertime mesoscale winds over the ocean around southeastern Greenland in WRF and ERA-Interim. Climate Dynamics 46(7): 2197-2211. doi: http://dx.doi.org/10.1007/s00382-015-2697-8.

Eveleth, Rachel Katherine. 2016. High-Resolution In Situ Oxygen-Argon Studies of Surface Biological and Physical Processes in the Polar Oceans. . Ph. D. Duke University.

Fang, Ziming, et al. 2016. Abundance and sinking of particulate black carbon in the western Arctic and Subarctic Oceans. Scientific Reports 6. Art. #29959. doi: http://dx.doi.org/10.1038/srep29959.

Ferry, Alexander John. 2016. New Statistical Analysis on Diatom Proxy Data for the Estimation of Past Southern Ocean. New Statistical Analysis on Diatom Proxy Data for the Estimation of Past Southern Ocean: 1-392. Ph. D. Macquarie University.

Flint, Paul L., James B. Grand, and Margaret R. Petersen. 2016. Effects of Lead Exposure, Environmental Conditions, and Metapopulation Processes on Population Dynamics of Spectacled Eiders. North American Fauna 81: 1-41. doi: http://dx.doi.org/10.3996/nafa.81.0001.

Forest, Alexandre, et al. 2016. Current surges and seabed erosion near the shelf break in the Canadian Beaufort Sea: A response to wind and ice motion stress. Journal of Marine Systems 160: 1-16. doi: http://dx.doi.org/10.1016/j.jmarsys.2016.03.008.

Fujiwara, A., et al. 2016. Influence of timing of sea ice retreat on phytoplankton size during marginal ice zone bloom period on the Chukchi and Bering shelves. Biogeosciences 13(1): 115-131. doi: http://dx.doi.org/10.5194/bg-13-115-2016.

Gall, Adrian E., et al. 2016. Ecological shift from piscivorous to planktivorous seabirds in the Chukchi Sea, 1975–2012. Polar Biology. doi: http://dx.doi.org/10.1007/s00300-016-1924-z.

Galley, R. J., et al. 2016. Replacement of multiyear sea ice and changes in the open water season duration in the Beaufort Sea since 2004. Journal of Geophysical Research - Oceans 121(13): 1806–1823. doi: http://dx.doi.org/10.1002/2015JC011583.

Gao, Huilin, et al. 2016. Interannual Variation of the Surface Temperature of Tropical Forests from Satellite Observations. Advances in Meteorology Vol. 2016. Art. #4741390. doi: http://dx.doi.org/10.1155/2016/4741390.

García-Serrano, J., et al. 2016. On the feedback of the winter NAO-driven sea ice anomalies. Climate Dynamics 47(5): 1601–1612. doi: http://dx.doi.org/10.1007/s00382-015-2922-5.

García-Serrano, J., et al. 2016. Multi-model assessment of linkages between eastern Arctic sea-ice variability and the Euro-Atlantic atmospheric circulation in current climate. Climate Dynamics. doi: http://dx.doi.org/10.1007/s00382-016-3454-3.

Glisan, Justin M., et al. 2016. Analysis of WRF extreme daily precipitation over Alaska using self-organizing maps. Journal of Geophysical Research - Atmospheres 121(13): 7746-7761. doi: http://dx.doi.org/10.1002/2016JD024822.

Gonsamo, Alemu, et al. 2016. Coherence among the Northern Hemisphere land, cryosphere, and ocean responses to natural variability and anthropogenic forcing during the satellite era . Earth System Dynamics 7(3): 717-734. doi: http://dx.doi.org/10.5194/esd-7-717-2016.

Grunseich, Gary, and Bin Wang. 2016. Arctic Sea Ice Patterns Driven by the Asian Summer Monsoon. Journal of Climate 29(24): 9097–9112. doi: http://dx.doi.org/10.1175/JCLI-D-16-0207.1.

Grunseich, Gary, and Bin Wang. 2016. Predictability of Arctic Annual Minimum Sea Ice Patterns. Journal of Climate 29(19): 7065–7088. doi: http://dx.doi.org/10.1175/JCLI-D-16-0102.1.

Guemas, V., et al. 2016. Impact of sea ice initialization on sea ice and atmosphere prediction skill on seasonal timescales. Geophysical Research Letters 43(8): 3889–3896. doi: http://dx.doi.org/10.1002/2015GL066626.

Guemas, Virginie, et al. 2016. A review on Arctic sea-ice predictability and prediction on seasonal to decadal time-scales. Quarterly Journal of the Royal Meteorological Society 142(695): 546–561. doi: http://dx.doi.org/10.1002/qj.2401.

Guemas, Virginie, et al. 2016. A review on Arctic sea-ice predictability and prediction on seasonal to decadal time-scales. Quarterly Journal of the Royal Meteorological Society 142(695): 546–561. doi: http://dx.doi.org/10.1002/qj.2401.

Gurarie, Eliezer, et al. 2016. Distribution, density and abundance of Antarctic ice seals off Queen Maud Land and the eastern Weddell Sea. Polar Biology. doi: http://dx.doi.org/10.1007/s00300-016-2029-4.

Haumann, F. Alexander, et al. 2016. Sea-ice transport driving Southern Ocean salinity and its recent trends. Nature 537: 89-92. doi: http://dx.doi.org/10.1038/nature19101.

Heil, P., et al. 2016. SIPEX 2012: Extreme sea-ice and atmospheric conditions off East Antarctica. Deep-Sea Research Part II - Topical Studies in Oceanography 161: 7-21. doi: http://dx.doi.org/10.1016/j.dsr2.2016.06.015.

Heil, P., et al. 2016. SIPEX 2012: Extreme sea-ice and atmospheric conditions off East Antarctica. Deep-Sea Research Part II - Topical Studies in Oceanography 161: 7-21. doi: http://dx.doi.org/10.1016/j.dsr2.2016.06.015.

Holland, Marika M., et al. 2016. Sensitivity of Antarctic sea ice to the Southern Annular Mode in coupled climate models. Climate Dynamics. doi: http://dx.doi.org/10.1007/s00382-016-3424-9.

Hu, Chundi, et al. 2016. Shifting El Niño inhibits summer Arctic warming and Arctic sea-ice melting over the Canada Basin. Nature Communications 7. Art. #11721. doi: http://dx.doi.org/10.1038/ncomms11721.

Hyun, Jung-Ho, et al. 2016. Biomass, production, and control of heterotrophic bacterioplankton during a late phytoplankton bloom in the Amundsen Sea Polynya, Antarctica. Deep-Sea Research Part II - Topical Studies in Oceanography 123: 102-112. doi: http://dx.doi.org/10.1016/j.dsr2.2015.10.001.

Iovino, Doroteaciro, et al. 2016. A 1/16 eddying simulation of the global NEMO sea-ice–ocean system. Geoscientific Model Development 9(8): 2665–2684. doi: http://dx.doi.org/10.5194/gmd-9-2665-2016.

Islam, F., et al. 2016. Gas exchange of CO2 and O2 in partially ice-covered regions of the Arctic Ocean investigated using in situ sensors. IOP Conference Series: Earth and Environmental Science 35. Art. #012018. doi: http://dx.doi.org/10.1088/1755-1315/35/1/012018.

Ivanov, Vladimir, et al. 2016. Arctic Ocean Heat Impact on Regional Ice Decay: A Suggested Positive Feedback. Journal of Physical Oceanography 46(5): 1437–1456. doi: http://dx.doi.org/10.1175/JPO-D-15-0144.1.

Ivanova, Detelina P., et al. 2016. Moving beyond the Total Sea Ice Extent in Gauging Model Biases. Journal of Climate 29(24): 8965–8987. doi: http://dx.doi.org/10.1175/JCLI-D-16-0026.1.

Iwahara, Yuka, et al. 2016. Gray whale sightings in the Canadian Beaufort Sea, September 2014. Polar Science 10(2): 173-176. doi: http://dx.doi.org/10.1016/j.polar.2016.04.007.

Janout, Markus, et al. 2016. Episodic warming of near-bottom waters under the Arctic sea ice on the central Laptev Sea shelf. Geophysical Research Letters 43(1): 264-272. doi: http://dx.doi.org/10.1002/2015GL066565.

Jensen, Trine S., Jason E. Box, and Christine S. Hvidberg. 2016. A sensitivity study of annual area change for Greenland ice sheet marine terminating outlet glaciers: 1999–2013. Journal of Glaciology 62(231): 72-81. doi: http://dx.doi.org/10.1017/jog.2016.12.

Johannesen, Edda, et al. 2016. Large-scale patterns in community structure of benthos and fish in the Barents Sea. Polar Biology: 1-10. doi: http://dx.doi.org/10.1007/s00300-016-1946-6.

Johnson, Mark, and Hajo Eicken. 2016. Estimating Arctic sea-ice freeze-up and break-up from the satellite record: A comparison of different approaches in the Chukchi and Beaufort Seas. Elementa 4. Art. #124. doi: http://dx.doi.org/10.12952/journal.elementa.000124.

Jones, Julie M., et al. 2016. Assessing recent trends in high-latitude Southern Hemisphere surface climate. Nature Reports Climate Change 6: 917-926. doi: http://dx.doi.org/10.1038/NCLIMATE3103.

Kahru, Mati, et al. 2016. Effects of sea ice cover on satellite-detected primary production in the Arctic Ocean. Biology Letters 12(11). Art. #20160223. doi: http://dx.doi.org/10.1098/rsbl.2016.0223.

Key, Jeffrey, et al. 2016. The AVHRR Polar Pathfinder Climate Data Records. Remote Sensing 8(3). Art. #167. doi: http://dx.doi.org/10.3390/rs8030167.

King, Martin, and Javier García-Serrano. 2016. Potential oceanatmosphere preconditioning of late autumn Barents-Kara sea ice concentration anomaly. Tellus Series A-Dynamic Meteorology and Oceanobraphy 68. Art. #28580. doi: http://dx.doi.org/10.3402/tellusa.v68.28580.

King, Martin, and Javier García-Serrano. 2016. Potential oceanatmosphere preconditioning of late autumn Barents-Kara sea ice concentration anomaly. Tellus Series A-Dynamic Meteorology and Oceanobraphy 68. Art. #28580. doi: http://dx.doi.org/10.3402/tellusa.v68.28580.

King, Martin, Momme Hell, and Noel Keenlyside. 2016. Investigation of the atmospheric mechanisms related to the autumn sea ice and winter circulation link in the Northern Hemisphere. Climate Dynamics 46(3): 1185–1195. doi: http://dx.doi.org/10.1007/s00382-015-2639-5.

Koenigk, Torben, and Laurent Brodeau. 2016. Arctic climate and its interaction with lower latitudes under different levels of anthropogenic warming in a global coupled climate model. Climate Dynamics: 1-22. doi: http://dx.doi.org/10.1007/s00382-016-3354-6.

Kolassa, J., et al. 2016. Soil moisture retrieval from AMSR-E and ASCAT microwave observation synergy. Part 1: Satellite data analysis. Remote Sensing of Environment 173: 1-14. doi: http://dx.doi.org/10.1016/j.rse.2015.11.011.

Kretschmer, Marlene, et al. 2016. Using Causal Effect Networks to Analyze Different Arctic Drivers of Midlatitude Winter Circulation. Journal of Climate 29(11): 4069–4081. doi: http://dx.doi.org/10.1175/JCLI-D-15-0654.1.

Krikken, Folmer, et al. 2016. Skill improvement of dynamical seasonal Arctic sea ice forecasts. Geophysical Research Letters 43(10): 5124–5132. doi: http://dx.doi.org/10.1002/2016GL068462.

Krishnamurti, T. N., and Vinay Kumar. 2016. Prediction of a thermodynamic wave train from the monsoon to the Arctic following extreme rainfall events. Climate Dynamics. doi: http://dx.doi.org/10.1007/s00382-016-3207-3.

Krumpen, T., et al. 2016. Recent summer sea ice thickness surveys in Fram Strait and associated ice volume fluxes. The Cryosphere 10(2): 523-534. doi: http://dx.doi.org/10.5194/tc-10-523-2016.

Lachlan-Cope, Tom, et al. 2016. The microphysics of clouds over the Antarctic Peninsula – Part 1: Observations. Atmospheric Chemistry and Physics 16(24): 15605-15617. doi: http://dx.doi.org/10.5194/acp-16-15605-2016.

Laliberté, F., Simon Bélanger, and Robert Frouin. 2016. Evaluation of satellite-based algorithms to estimate photosynthetically available radiation (PAR) reaching the ocean surface at high northern latitudes. Remote Sensing of Environment 184: 199-211. doi: http://dx.doi.org/10.1016/j.rse.2016.06.014.

Langehaug, H. R., et al. 2016. On model differences and skill in predicting sea surface temperature in the Nordic and Barents Seas. Climate Dynamics. doi: http://dx.doi.org/10.1007/s00382-016-3118-3.

Lecomte, O., et al. 2016. Impact of surface wind biases on the Antarctic sea ice concentration budget in climate models. Ocean Modelling 105: 60-70. doi: http://dx.doi.org/10.1016/j.ocemod.2016.08.001.

Lecomte, O., et al. 2016. Impact of surface wind biases on the Antarctic sea ice concentration budget in climate models. Ocean Modelling 105: 60-70. doi: http://dx.doi.org/10.1016/j.ocemod.2016.08.001.

Lee, Younjoo J., et al. 2016. Physical-biological coupling in the Amundsen Sea, Antarctica: Influence of physical factors on phytoplankton community structure and biomass. Deep-Sea Research Part I - Oceanographic Research Papers 117: 51-60. doi: http://dx.doi.org/10.1016/j.dsr.2016.10.001.

Lei, Ruibo, et al. 2016. Changes in summer sea ice, albedo, and portioning of surface solar radiation in the Pacific sector of Arctic Ocean during 1982–2009. Journal of Geophysical Research - Oceans 121(8): 5470-5486. doi: http://dx.doi.org/10.1002/2016JC011831.

Lenaerts, Jan T. M., et al. 2016. Present-day and future Antarctic ice sheet climate and surface mass balance in the Community Earth System Model. Climate Dynamics. doi: http://dx.doi.org/10.1007/s00382-015-2907-4.

Letterly, Aaron, Jeffrey Kay and Yinghui Liu. 2016. The influence of winter cloud on summer sea ice in the Arctic, 1983–2013. Journal of Geophysical Research - Atmospheres 121(5): 2178-2187. doi: http://dx.doi.org/10.1002/2015JD024316.

Letterly, Aaron, Jeffrey Kay and Yinghui Liu. 2016. The influence of winter cloud on summer sea ice in the Arctic, 1983–2013. Journal of Geophysical Research - Atmospheres 121(5): 2178-2187. doi: http://dx.doi.org/10.1002/2015JD024316.

Li, Mingming, et al. 2016. Polar Sea Ice Monitoring Using HY-2A Scatterometer Measurements. Remote Sensing 8(8). Art. #633. doi: http://dx.doi.org/10.3390/rs8080688.

Li, Yun, et al. 2016. Synchronicity between ice retreat and phytoplankton bloom in circum-Antarctic polynyas. Geophysical Research Letters 43(5): 2086-2093. doi: http://dx.doi.org/10.1002/2016GL067937.

Li, Zuchuan, et al. 2016. Interannual variability in net community production at the Western Antarctic Peninsula region (1997–2014). Journal of Geophysical Research - Oceans 121(7): 4748–4762. doi: http://dx.doi.org/10.1002/2015JC011378..

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