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.

2014

Brown, Laura C., et al. 2014. Evaluation of the Interactive Multisensor Snow and Ice Mapping System (IMS) for monitoring sea ice phenology. Remote Sensing of Environment 147: 65-78. doi: http://dx.doi.org/10.1016/j.rse.2014.02.012.

Byun, Kyuhyun, and and Minha Choi 2014. Characterization and Space–Time Downscaling of the Inundation Extent over the Inner Niger Delta Using GIEMS and MODIS Data. Hydrological Processes 28(7): 3173–3184. doi: http://dx.doi.org/10.1002/hyp.9846.

Carroll, Michael L., et al. 2014. Bivalve growth rate and isotopic variability across the Barents Sea Polar Front. Journal of Marine Systems 130: 167-180. doi: http://dx.doi.org/10.1016/j.jmarsys.2013.10.006.

Chen, Zhang, Renguang Wu, and Wen Chen. 2014. Distinguishing Interannual Variations of the Northern and Southern Modes of the East Asian Winter Monsoon. Journal of Cilmate 27(2): 835-851. doi: http://dx.doi.org/10.1175/JCLI-D-13-00314.1.

Chen, Zhang, Renguang Wu, and Wen Chen. 2014. Impacts of Autumn Arctic Sea Ice Concentration Changes on the East Asian Winter Monsoon Variability. Journal of Cilmate 27(14): 5433-5450. doi: http://dx.doi.org/10.1175/JCLI-D-13-00731.1.

Cheng, Wei, et al. 2014. Influences of sea ice on the Eastern Bering Sea: NCAR CESM simulations and comparison with observations. Deep-Sea Research Part II - Topical Studies in Oceanography 109: 27-38. doi: http://dx.doi.org/10.1016/j.dsr2.2014.03.002.

Constable, Andrew J., et al. 2014. Climate change and Southern Ocean ecosystems I: how changes in physical habitats directly affect marine biota. Global Change Biology 20(10): 3004-3025. doi: http://dx.doi.org/10.1111/gcb.12623.

Cooke, M. A., E. Demirov, and J. Zhuc. 2014. A Model Study of the Relationship between Sea-Ice Variability and Surface and Intermediate Water Mass Properties in the Labrador Sea. Atmosphere-Ocean 52(2): 142-154. doi: http://dx.doi.org/10.1080/07055900.2013.877417.

Danabasoglu, Gokhan, et al. 2014. North Atlantic simulations in Coordinated Ocean-ice Reference Experiments phase II (CORE-II). Part I: Mean states. Ocean Modelling 73: 76-107. doi: http://dx.doi.org/10.1016/j.ocemod.2013.10.005.

Davis, Peter E. D., Camille Lique, and Helen L. Johnson. 2014. On the Link between Arctic Sea Ice Decline and the Freshwater Content of the Beaufort Gyre: Insights from a Simple Process Model. Journal of Climate 27(21): 8170-8184. doi: http://dx.doi.org/10.1175/JCLI-D-14-00090.1.

Deb, Pranab, Mihir Kumar Dasha, and Prem Chand Pandeyb. 2014. Effect of Pacific warm and cold events on the sea ice behavior in the Indian sector of the Southern Ocean. Deep-Sea Research Part I - Oceanographic Research Papers 84: 59-72. doi: http://dx.doi.org/10.1016/j.dsr.2013.10.002.

Derksen, C., et al. 2014. Physical properties of Arctic versus subarctic snow: Implications for high latitude passive microwave snow water equivalent retrievals. Journal of Geophysical Research - Atmospheres 119(12): 7254-7270. doi: http://dx.doi.org/10.1002/2013JD021264.

Dong, Xiquan, et al.  2014. Critical Mechanisms for the Formation of Extreme Arctic Sea-Ice Extent in the Summers Of 2007 And 1996. Climate Dynamics 43(1): 53-70. doi: http://dx.doi.org/10.1007/s00382-013-1920-8.

Dong, Xiquan, et al.  2014. Critical Mechanisms for the Formation of Extreme Arctic Sea-Ice Extent in the Summers Of 2007 And 1996. Climate Dynamics 43(1): 53-70. doi: http://dx.doi.org/10.1007/s00382-013-1920-8.

Dragon, Anne-Cécile, et al. 2014. A note on the intraseasonal variability in an Antarctic polynia: Prior to and after the Mertz Glacier calving. Journal of Marine Systems 130: 46-55. doi: http://dx.doi.org/10.1016/j.jmarsys.2013.06.006.

Dutrieux, Pierre, et al. 2014. Strong Sensitivity of Pine Island Ice-Shelf Melting to Climatic Variability. Science 343(6167): 174-178. doi: http://dx.doi.org/10.1126/science.1244341.

Eisenman, I., W. N. Meier, and J. R. Norris. 2014. A spurious jump in the satellite record: has Antarctic sea ice expansion been overestimated?. The Cryosphere 8: 1289-1296. doi: http://dx.doi.org/10.5194/tc-8-1289-2014.

Fauchald, Per, et al. 2014. An assessment of MOSJ _ The state of the marine environment around Svalbard and Jan Mayen. Norsk Polarinstitutt. Rapportserie 145.

Frankignoul, Claude, Nathalie Sennéchael, and Pierre Cauchy. 2014. Observed Atmospheric Response to Cold Season Sea Ice Variability in the Arctic. Journal of Climate 27(3): 1243-1254. doi: http://dx.doi.org/10.1175/JCLI-D-13-00189.1.

Frey, Karen E., et al. 2014. Recent Variability in Sea Ice Cover, Age, and Thickness in the Pacifi c Arctic Region . The Pacific Arctic Region: 10.1007/978-94-017-8863-2_3. Dordrecht: Springer Netherlands, 31-63.

García-Serrano, J., and C. Franklgnoul. 2014. High predictability of the winter Euro–Atlantic climate from cryospheric variability. Nature Geoscience 7. doi: http://dx.doi.org/10.1038/ngeo2118.

Glisan, Justin M., andWilliam J. Gutowski Jr. 2014. WRF summer extreme daily precipitation over the CORDEX Arctic. Journal of Geophysical Research - Atmospheres 119(4): 1700-1732. doi: http://dx.doi.org/10.1002/2013JD020697.

Glisan, Justin M., andWilliam J. Gutowski Jr. 2014. WRF winter extreme daily precipitation over the North American CORDEX . Journal of Geophysical Research - Atmospheres 119(18): 10,738-10,748. doi: http://dx.doi.org/10.1002/2014JD021676.

Gorman, Kristen B., Tony D. Williams, and William R. Fraser. 2014. Ecological Sexual Dimorphism and Environmental Variability within a Community of Antarctic Penguins (Genus Pygoscelis). PLOS One 9(3). Art. #e90081. doi: http://dx.doi.org/10.1371/journal.pone.0090081.

Guemas, Virginie, et al. 2014. Ensemble of sea ice initial conditions for interannual climate predictions. Climate Dynamics 43(9-10): 2813-2829. doi: http://dx.doi.org/10.1007/s00382-014-2095-7.

Hansen, E., et al. 2014. Variability in categories of Arctic sea ice in Fram Strait. Journal of Geophysical Research - Oceans 119(10): 7175-7189. doi: http://dx.doi.org/10.1002/2014JC010048.

Heikkilä, Maija, et al. 2014. Surface sediment dinoflagellate cysts from the Hudson Bay system and their relation to freshwater and nutrient cycling. Marine Micropaleontology 106: 79-109. doi: http://dx.doi.org/10.1016/j.marmicro.2013.12.002.

Hirahara, Shoji, Masayoshi Ishii, and Yoshikazu Fukuda. 2014. Centennial-Scale Sea Surface Temperature Analysis and Its Uncertainty. Journal of Climate 27(1): 57-75. doi: http://dx.doi.org/10.1175/JCLI-D-12-00837.1.

Hochheim, Klaus P., and David G. Barber. 2014. An Update on the Ice Climatology of the Hudson Bay System~. Arctic, Antarctic, and Alpine Research 46(1): 66-83. doi: http://dx.doi.org/10.1657/1938-4246-46.1.66.

Holland, Paul R. 2014. The Seasonality of Antarctic Sea Ice Trends. Geophysical Research Letters 41(12): 4230-4237. doi: http://dx.doi.org/10.1002/2014GL060172.

Holland, Paul R., et al. 2014. Modeled Trends in Antarctic Sea Ice Thickness. Journal of Climate 27(10): 3784-3801. doi: http://dx.doi.org/10.1175/JCLI-D-13-00301.1.

Ivanova, Natalia, et al. 2014. Retrieval of Arctic Sea Ice Parameters by Satellite Passive Microwave Sensors: A Comparison of Eleven Sea Ice Concentration Algorithms. IEEE Transactions on Geoscience and Remote Sensing 52(11): 7233-7246. doi: http://dx.doi.org/10.1109/TGRS.2014.2310136.

Ivanova, Natalia, et al. 2014. Retrieval of Arctic Sea Ice Parameters by Satellite Passive Microwave Sensors: A Comparison of Eleven Sea Ice Concentration Algorithms. IEEE Transactions on Geoscience and Remote Sensing 52(11): 7233-7246. doi: http://dx.doi.org/10.1109/TGRS.2014.2310136.

Janout, Markus A., and Yueng-Djern Lenn. 2014. Semidiurnal Tides on the Laptev Sea Shelf with Implications for Shear and Vertical Mixing. Journal of Physical Oceanography 44(1): 202-219. doi: http://dx.doi.org/10.1175/JPO-D-12-0240.1.

Ji, D., et al. 2014. Description and basic evaluation of Beijing Normal University Earth System Model (BNU-ESM) version 1. Geoscientific Model Development 7: 2039-2064. doi: http://dx.doi.org/10.5194/gmd-7-2039-2014.

Ke, Chang-Qing, Rui Zhang, and Xin Jin. 2014. Sea Ice Albedo Variability and Trend in the Chukchi Sea Based on Advanced Very High Resolution Radiometer, 1981 to 2012. Journal of Applied Remote Sensing 8(1). Art. #083688. doi: http://dx.doi.org/10.1117/1.JRS.8.083688.

Kim, Yong Sun, and Alejandro H. Orsi. 2014. On the Variability of Antarctic Circumpolar Current Fronts Inferred from 1992–2011 Altimetry. Journal of Physical Oceanography 44(12): 3054-3071. doi: http://dx.doi.org/10.1175/JPO-D-13-0217.1.

Krishfield, R. A., et al. 2014. Deterioration of Perennial Sea Ice in the Beaufort Gyre from 2003 to 2012 and Its Impact on the Oceanic Freshwater Cycle. Journal of Geophysical Research - Oceans 119(2): 1271-1305. doi: http://dx.doi.org/ 10.1002/2013JC008999.

Krishfield, R. A., et al. 2014. Deterioration of Perennial Sea Ice in the Beaufort Gyre from 2003 to 2012 and Its Impact on the Oceanic Freshwater Cycle. Journal of Geophysical Research - Oceans 119(2): 1271-1305. doi: http://dx.doi.org/ 10.1002/2013JC008999.

Krishfield, R. A., et al. 2014. Deterioration of Perennial Sea Ice in the Beaufort Gyre from 2003 to 2012 and Its Impact on the Oceanic Freshwater Cycle. Journal of Geophysical Research - Oceans 119(2): 1271-1305. doi: http://dx.doi.org/ 10.1002/2013JC008999.

Krishfield, R. A., et al. 2014. Deterioration of Perennial Sea Ice in the Beaufort Gyre from 2003 to 2012 and Its Impact on the Oceanic Freshwater Cycle. Journal of Geophysical Research - Oceans 119(2): 1271-1305. doi: http://dx.doi.org/ 10.1002/2013JC008999.

Laruelle, Goulven G., et al. 2014. Regionalized global budget of the CO2 exchange at the air-water interface in continental shelf seas. Global Biogeochemical Cycles 28(11): 1199-1214. doi: http://dx.doi.org/10.1002/2014GB004832.

Li, Linghan, et al. 2014. Processes driving sea ice variability in the Bering Sea in an eddying ocean/sea ice model: Mean seasonal cycle. Ocean Modelling 84: 51-66. doi: http://dx.doi.org/10.1016/j.ocemod.2014.09.006.

Lijian, Shi, et al. 2014. Arctic sea ice concentration retrieval using HY-2 radiometer data. Chinese Journal of Polar Research 26(4): 410-417.

Lindau, Ralf, and Clemens Simmer. 2014. A Statistical Retrieval Algorithm for Root Zone Soil Moisture. Theoretical and Applied Climatology 118: 675-694. doi: http://dx.doi.org/10.1007/x00704-009-0227-5.

Lindsay, R., et al. 2014. Evaluation of Seven Different Atmospheric Reanalysis Products in the Arctic. Journal of Climate 27(7): 2588-2606. doi: http://dx.doi.org/10.1175/JCLI-D-13-00014.1.

Liu, Fuhong, Jeremy R. Krieger, and Jing Zhang. 2014. Toward Producing the Chukchi–Beaufort High-Resolution Atmospheric Reanalysis (CBHAR) via the WRFDA Data Assimilation System. Monthly Weather Review 142(2): 788-805. doi: http://dx.doi.org/10.1175/MWR-D-13-00063.1.

Liu, Ge, et al. 2014. The Summer Snow Cover Anomaly over the Tibetan Plateau and Its Association with Simultaneous Precipitation over the Mei-yu–Baiu region. Advances in Atmospheric Sciences 31(4): 755-764. doi: http://dx.doi.org/10.1007/s00376-013-3183-z.

Liu, Yinghui, and Jeffrey R. Key. 2014. Less Winter Cloud Aids Summer 2013 Arctic Sea Ice Return from 2012 Minimum. Environmental Research Letters 9(4). Art. #044002. doi: http://dx.doi.org/10.1088/1748-9326/9/4/044002.

Liu, Yinghui, and Jeffrey R. Key. 2014. Less Winter Cloud Aids Summer 2013 Arctic Sea Ice Return from 2012 Minimum. Environmental Research Letters 9(4). Art. #044002. doi: http://dx.doi.org/10.1088/1748-9326/9/4/044002.

Liu, Yinghui, and Jeffrey R. Key. 2014. Less Winter Cloud Aids Summer 2013 Arctic Sea Ice Return from 2012 Minimum. Environmental Research Letters 9(4). Art. #044002. doi: http://dx.doi.org/10.1088/1748-9326/9/4/044002.

Liu, Yinghui, and Jeffrey R. Key. 2014. Less Winter Cloud Aids Summer 2013 Arctic Sea Ice Return from 2012 Minimum. Environmental Research Letters 9(4). Art. #044002. doi: http://dx.doi.org/10.1088/1748-9326/9/4/044002.

Liu, Yuyun, et al. 2014. Three Eurasian teleconnection patterns: spatial structures, temporal variability, and associated winter climate anomalies. Climate Dynamics 42(11-12): 2817-2839. doi: http://dx.doi.org/10.1007/s00382-014-2163-z.

Loose, B., and W. J. Jenkins. 2014. The five stable noble gases are sensitive unambiguous tracers of glacial meltwater. Geophysical Research Letters 41(8): 2835-2841. doi: http://dx.doi.org/10.1002/2013GL058804.

Loose, B., et al. 2014. A parameter model of gas exchange for the seasonal sea ice zone. Ocean Science 10(1): 17-28. doi: http://dx.doi.org/10.5194/os-10-17-2014.

Mahoney, Andrew R., et al. 2014. Landfast sea ice extent in the Chukchi and Beaufort Seas: The annual cycle and decadal variability. Cold Regions Science and Technology 103: 41-56. doi: http://dx.doi.org/10.1016/j.coldregions.2014.03.003.

Martin, Torge, Michael Steele, and Jinlun Zhang. 2014. Seasonality and long-term trend of Arctic Ocean surface stress in a model. Journal of Geophysical Research - Oceans 119(3): 1723-1738. doi: http://dx.doi.org/10.1002/2013JC009425.

Martini, Kim I., et al. 2014. Near-Inertial Internal Waves and Sea Ice in the Beaufort Sea. Journal of Physical Oceanography 44(8): 2212-2234. doi: http://dx.doi.org/10.1175/JPO-D-13-0160.1.

McTigue, Nathan D., and Kenneth H. Dunton. 2014. Trophodynamics and organic matter assimilation pathways in the northeast Chukchi Sea, Alaska. Deep-Sea Research Part II - Topical Studies in Oceanography 102: 84-96. doi: http://dx.doi.org/10.1016/j.dsr2.2013.07.016.

Meier, Walter N., et al. 2014. Arctic sea ice in transformation: A review of recent observed changes and impacts on biology and human activity. Reviews of Geophysics 52(3): 185-217. doi: http://dx.doi.org/10.1002/2013RG000431.

Morrow, Rosemary, and Elodie Kestenare. 2014. Nineteen-year changes in surface salinity in the Southern Ocean south of Australia. Journal of Marine Systems 129: 472-483. doi: http://dx.doi.org/10.1016/j.jmarsys.2013.09.011.

Mortin, Jonas 2014. On the Arctic seasonal cycle. . Ph. D. Stockholm University.

Mortin, Jonas 2014. On the Arctic seasonal cycle. . Ph. D. Stockholm University.

Mortin, Jonas 2014. On the Arctic seasonal cycle. . Ph. D. Stockholm University.

Mortin, Jonas 2014. On the Arctic seasonal cycle. . Ph. D. Stockholm University.

Nakayama, Y., et al. 2014. Modeling the spreading of glacial meltwater from the Amundsen and Bellingshausen Seas. Geophysical Research Letters 41(22): 7942-7949. doi: http://dx.doi.org/10.1002/2014GL061600.

Nghiem, S. V., et al. 2014. Effects of Mackenzie River discharge and bathymetry on sea ice in the Beaufort Sea. Geophysical Research Letters 41(3): 873–879. doi: http://dx.doi.org/10.1002/2013GL058956.

Nievinski, Felipe G., and Kristine M. Larson. 2014. Inverse Modeling of GPS Multipath for Snow Depth Estimation—Part I: Formulation and Simulations. IEEE Transactions on Geoscience and Remote Sensing 52(10): 6555-6563. doi: http://dx.doi.org/10.1109/TGRS.2013.2297681.

O'Toole, Malcolm D., et al. 2014. Estimating Trans-Seasonal Variability in Water Column Biomass for a Highly Migratory, Deep Diving Predator. PLOS One. doi: http://dx.doi.org/10.1371/journal.pone.0113171.

Ohring, George, et al. 2014. Satellite Observations of North American Climate Change. Climate Change in North America. New York, NY: Springer International Publishing, 95-165. doi: http://dx.doi.org/10.1007/978-3-319-03768-4_3.

Onarheim, Ingrid H., et al. 2014. Loss of sea ice during winter north of Svalbard. Tellus Series A-Dynamic Meteorology and Oceanobraphy 66. Art. #23933. doi: http://dx.doi.org/10.3402/tellusa.v66.23933.

Picard, G., et al. 2014. Influence of meter-scale wind-formed features on the variability of the microwave brightness temperature around Dome C in Antarctica. The Cryosphere 8: 1105-1119. doi: http://dx.doi.org/10.5194/tc-8-1105-2014.

Pistone, Kristina, Ian Eisenman, and V. Ramanathan. 2014. Observational determination of albedo decrease caused by vanishing Arctic sea ice. Proceedings of the National Academy of Sciences of the United States of America 111(9): 3322-3326. doi: http://dx.doi.org/10.1073/pnas.1318201111.

Platonov, N. G., et al. 2014. Evaluation of Polar Bear Movement Patterns in Relation to Sea Ice Drift. Doklady Biological Science 456: 191-194.

Räisänen, P., et al. 2014. Evaluation of North Eurasian snow-off dates in the ECHAM5.4 atmospheric general circulation model. Geoscientific Model Development 7: 3037-3057. doi: http://dx.doi.org/10.5194/gmd-7-3037-2014.

Remund, Quinn P. and David G. Long.  2014. A Decade of QuikSCAT Scatterometer Sea Ice Extent Data. IEEE Transactions on Geoscience and Remote Sensing 52(7): 4281-4290. doi: http://dx.doi.org/10.1109/TGRS.2013.2281056.

Richardson, Mark, Ian Davenport, and Robert Gurney. 2014. Global Snow Mass Measurements and the Effect of Stratigraphic Detail on Inversion of Microwave Brightness Temperatures. Surveys in Geophysics 35: 785–812. doi: http://dx.doi.org/10.1007/s10712-013-9263-x.

Rode, Karyn D., et al. 2014. Variation in the response of an Arctic top predator experiencing habitat loss: feeding and reproductive ecology of two polar bear populations. Global Change Biology 20(1): 76-88. doi: http://dx.doi.org/10.1111/gcb.12339.

Ruibo, Lei, et al. 2014. Seasonal changes in sea ice conditions along the Northeast Passage in 2007 and 2012. Advances in Polar Science 25(4): 300-309. doi: http://dx.doi.org/10.13679/j.advps.2014.4.00300.

Saba, Grace K., et al. 2014. Winter and spring controls on the summer food web of the coastal West Antarctic Peninsula. Nature Communications 5. Art. #4318. doi: http://dx.doi.org/10.1038/ncomms5318.

Saenz, Benjamin T., and Kevin R. Arrigo. 2014. Annual primary production in Antarctic sea ice during 2005–2006 from a sea ice state estimate. Journal of Geophysical Research - Oceans 119(6): 3645-3678. doi: http://dx.doi.org/10.1002/2013JC009677.

Schmidt, Katrin, et al. 2014. Feeding and overwintering of Antarctic krill across its major habitats: The role of sea ice cover, water depth, and phytoplankton abundance. Limnology and Oceangraphy 59(1): 17-36. doi: http://dx.doi.org/ 10.4319/lo.2014.59.1.0017.

Schröder, David, et al. 2014. September Arctic sea-ice minimum predicted by spring melt-pond fraction. Nature Climate Change 4: 353-357. doi: http://dx.doi.org/10.1038/nclimate2203.

Sein, Dmitry V., et al. 2014. Sensitivity of simulated regional Arctic climate to the choice of coupled model domain. Tellus Series A-Dynamic Meteorology and Oceanobraphy 66. Art. #23966. doi: http://dx.doi.org/10.3402/tellusa.v66.23966.

Semmens, Kathryn, and Joan Ramage. 2014. Melt Patterns and Dynamics in Alaska and Patagonia Derived from Passive Microwave Brightness Temperatures; DMSP SSM/I-SSMIS Pathfinder Daily EASE-Grid Brightness Temperatures, Version 2. Remote Sensing 6(1): 603-620. doi: http://dx.doi.org/10.3390/rs6010603.

Sha, Longbin, et al. 2014. A diatom-based sea-ice reconstruction for the Vaigat Strait (Disko Bugt, West Greenland) over the last 5000 yr. Palaeogeography, Palaeoclimatology, Palaeoecology 403: 66-79. doi: http://dx.doi.org/10.1016/j.palaeo.2014.03.028.

Sinclair, Kate E., et al. 2014. Twentieth century sea-ice trends in the Ross Sea from a high-resolution, coastal ice-core record. Geophysical Research Letters 41(10): 3510-3516. doi: http://dx.doi.org/10.1002/2014GL059821.

Spencer, Nora C., H. Grant Gilchrist, and Mark L. Mallory. 2014. Annual Movement Patterns of Endangered Ivory Gulls: The Importance of Sea Ice. PLOS One. doi: http://dx.doi.org/10.1371/journal.pone.0115231.

Steinhoff, Daniel F., et al. 2014. Austral summer foehn winds over the McMurdo dry valleys of Antarctica from Polar WRF. Quarterly Journal of the Royal Meteorological Society 140(683): 1825-1837. doi: http://dx.doi.org/10.1002/qj.2278.

Sumata, H., et al. 2014. An intercomparison of Arctic ice drift products to deduce uncertainty estimates. Journal of Geophysical Research - Oceans 119(8): 4887-4921. doi: http://dx.doi.org/10.1002/2013JC009724.

Tan, Wenxia, Andrea Scott, and Ellsworth LeDrew. 2014. Enhanced Arctic Ice Concentration Estimation Merging MODIS Ice Surface Temperature and SSM/I Sea-Ice Concentration. Atmosphere-Ocean 52(2): 115-124. doi: http://dx.doi.org/10.1080/07055900.2014.883491.

Tarling, Geraint A., and Sally E. Thorpe. 2014. Instantaneous movement of krill swarms in the Antarctic Circumpolar Current. Limnology and Oceangraphy 59(3): 872-886. doi: http://dx.doi.org/10.4319/lo.2014.59.3.0872.

Terzago, Silvia, et al. 2014. Snowpack Changes in the Hindu Kush–Karakoram–Himalaya from CMIP5 Global Climate Models. Journal of Hydrometeorology 15(6):: 2293-2313. doi: http://dx.doi.org/10.1175/JHM-D-13-0196.1.

Timmermans, M.-L., et al. 2014. Mechanisms of Pacific Summer Water variability in the Arctic's Central Canada Basin. Journal of Geophysical Research - Oceans 119(11): 7523--7548. doi: http://dx.doi.org/10.1002/2014JC010273.

Tsamados, Michel, et al. 2014. Impact of Variable Atmospheric and Oceanic Form Drag on Simulations of Arctic Sea Ice. Journal of Physical Oceanography 44(5): 1329-1353. doi: http://dx.doi.org/10.1175/JPO-D-13-0215.1.

Urrego-Blanco, Jorge, and Jinyu Sheng. 2014. Study on subtidal circulation and variability in the Gulf of St. Lawrence, Scotian Shelf, and Gulf of Maine using a nested-grid shelf circulation model. Ocean Dynamics 64: 385-412. doi: http://dx.doi.org/10.1007/s10236-013-0688-z.

Wang, Jia, et al. 2014. A modeling study of coastal circulation and landfast ice in the nearshore Beaufort and Chukchi seas using CIOM. Journal of Geophysical Research - Oceans 119(6): 3285–3312. doi: http://dx.doi.org/10.1002/2013JC009258.

Wang, Shiway W., et al. 2014. Fatty acid and stable isotope characteristics of sea ice and pelagic particulate organic matter in the Bering Sea: tools for estimating sea ice algal contribution to Arctic food web production. Oecologia 174(3): 699-712. doi: http://dx.doi.org/10.1007/s00442-013-2832-3.

Wettstein, Justin J., and Clara Deser. 2014. Internal Variability in Projections of Twenty-First-Century Arctic Sea Ice Loss: Role of the Large-Scale Atmospheric Circulation. Journal of Climate 27(2): 527-550. doi: http://dx.doi.org/10.1175/JCLI-D-12-00839.1.

Williams, R., et al. 2014. Counting whales in a challenging, changing environment. Scientific Reports 4. Art. #4170. doi: http://dx.doi.org/10.1038/srep04170.

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