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.

2017

Pérez‐Hernández, M. D., et al. 2017. The Atlantic Water boundary current north of Svalbard in late summer. Journal of Geophysical Research - Oceans 122(3): 2269–2290. doi: http://dx.doi.org/10.1002/2016JC012486.

Petrou, Zisis I., and YingLi Tian. 2017. High-Resolution Sea Ice Motion Estimation With Optical Flow Using Satellite Spectroradiometer Data. IEEE Transactions on Geoscience and Remote Sensing 55(3): 1339-1350. doi: http://dx.doi.org/10.1109/TGRS.2016.2622714.

Petty, Alek A., et al. 2017. Skillful spring forecasts of September Arctic sea ice extent using passive microwave sea ice observations. Earth's Future 5(2): 254–263. doi: http://dx.doi.org/10.1002/2016EF000495.

Petty, Alek A., et al. 2017. Skillful spring forecasts of September Arctic sea ice extent using passive microwave sea ice observations. Earth's Future 5(2): 254–263. doi: http://dx.doi.org/10.1002/2016EF000495.

Petty, Alek A., Michel C. Tsamados, and Nathan T. Kurtz. 2017. Atmospheric form drag coefficients over Arctic sea ice using remotely sensed ice topography data, spring 2009-2015. Journal of Geophysical Research - Earth Surface 122(8): 1472-1490. doi: http://dx.doi.org/10.1002/2017JF004209.

Petty, Alek A., Michel C. Tsamados, and Nathan T. Kurtz. 2017. Atmospheric form drag coefficients over Arctic sea ice using remotely sensed ice topography data, spring 2009-2015. Journal of Geophysical Research - Earth Surface 122(8): 1472-1490. doi: http://dx.doi.org/10.1002/2017JF004209.

Pham-Duc, Binh, et al. 2017. Comparisons of Global Terrestrial Surface Water Datasets over 15 Years. Journal of Hydrometeorology 18(4): 993-1007. doi: http://dx.doi.org/10.1175/JHM-D-16-0206.1.

Picco, Paola, et al. 2017. Time-frequency analysis of migrating zooplankton in the Terra Nova Bay polynya (Ross Sea, Antarctica). Journal of Marine Systems 166: 172-183. doi: http://dx.doi.org/10.1016/j.jmarsys.2016.07.010.

Pozdnyakov, Dmitry, Lasse H. Pettersson, and Anton A. Korosov. 2017. Investigations of the Primary Production Dynamics in the Atlantic and Arctic Oceans. Exploring the Marine Ecology from Space. by Dmitry Pozdnyakov, Lasse H. Pettersson, and Anton A. Korosov. Zurich: Springer International Publishing, 141-146. doi: http://dx.doi.org/10.1007/978-3-319-30075-7_4.

Pozdnyakov, Dmitry, Lasse H. Pettersson, and Anton A. Korosov. 2017. Methodological Approaches. Exploring the Marine Ecology from Space. by Dmitry Pozdnyakov, Lasse H. Pettersson, and Anton A. Korosov. Zurich: Springer International Publishing, 1-21. doi: http://dx.doi.org/10.1007/978-3-319-30075-7_1.

Prabhu, Amita, et al. 2017. Summer monsoon rainfall variability over North East regions of India and its association with Eurasian snow, Atlantic Sea Surface temperature and Arctic Oscillation. Climate Dynamics 49(7-8): 2545–2556. doi: http://dx.doi.org/10.1007/s00382-016-3445-4.

Pratt, Martin J., et al. 2017. Implications of sea ice on Southern Ocean microseisms detected by a seismic array in West Antarctica. Geophysical Journal International 209(1): 492-507. doi: http://dx.doi.org/10.1093/gji/ggx007.

Sciullo, L., G. W. Thiemann, and N. J. Lunn. 2017. Intraspecific and temporal variability in the diet composition of female polar bears in a seasonal sea ice regime. Arctic Science 3(4): 672-688. doi: http://dx.doi.org/10.1139/as-2017-0004.

Sha, Longbin, et al. 2017. A record of Holocene sea-ice variability off West Greenland and its potential forcing factors. Palaeogeography, Palaeoclimatology, Palaeoecology 475: 115-124. doi: http://dx.doi.org/10.1016/j.palaeo.2017.03.022.

Shetye, Suhas S., Babula Jena, and Rahul Mohan. 2017. Dynamics of sea-ice biogeochemistry in the coastal Antarctica during transition from summer to winter . Geoscience Frontiers 8(3): 507-516. doi: http://dx.doi.org/10.1016/j.gsf.2016.05.002.

Sun, Yayong, et al. 2017. Preliminary Evaluation of the SMAP Radiometer Soil Moisture Product over China Using In Situ Data. Remote Sensing 9(3). Art. #292. doi: http://dx.doi.org/10.3390/rs9030292.

Takbiri, Zeinab, et al. 2017. A multi-sensor data-driven methodology for all-sky passive microwave inundation retrieval. Hydrology and Earth System Sciences 21(6): 2685-2700. doi: http://dx.doi.org/10.5194/hess-21-2685-2017.

Terzago, Silvia, et al. 2017. Snow water equivalent in the Alps as seen by gridded data sets, CMIP5 and CORDEX climate models. The Cryosphere 11(4): 1625–1645. doi: http://dx.doi.org/10.5194/tc-11-1625-2017.

Tooth, Matthew, and Mark Tschudi. 2017. A Database of Weekly Sea Ice Parcel Tracks Derived from Lagrangian Motion Data with Ancillary Data Products. Data 2(3). Art. #25. doi: http://dx.doi.org/10.3390/data2030025.

Tooth, Matthew, and Mark Tschudi. 2017. A Database of Weekly Sea Ice Parcel Tracks Derived from Lagrangian Motion Data with Ancillary Data Products. Data 2(3). Art. #25. doi: http://dx.doi.org/10.3390/data2030025.

Tooth, Matthew, and Mark Tschudi. 2017. A Database of Weekly Sea Ice Parcel Tracks Derived from Lagrangian Motion Data with Ancillary Data Products. Data 2(3). Art. #25. doi: http://dx.doi.org/10.3390/data2030025.

Tooth, Matthew, and Mark Tschudi. 2017. A Database of Weekly Sea Ice Parcel Tracks Derived from Lagrangian Motion Data with Ancillary Data Products. Data 2(3). Art. #25. doi: http://dx.doi.org/10.3390/data2030025.

Vallelonga, Paul, et al. 2017. Sea-ice-related halogen enrichment at Law Dome, coastal East Antarctica . Climate of the Past 13(2): 171-184. doi: http://dx.doi.org/10.5194/cp-13-171-2017.

Vallelonga, Paul, et al. 2017. Sea-ice-related halogen enrichment at Law Dome, coastal East Antarctica . Climate of the Past 13(2): 171-184. doi: http://dx.doi.org/10.5194/cp-13-171-2017.

Walker, C. C., and A. S. Gardner. 2017. Rapid drawdown of Antarctica's Wordie Ice Shelf glaciers in response to ENSO/Southern Annular Mode-driven warming in the Southern Ocean. Earth and Planetary Letters 476: 100-110. doi: http://dx.doi.org/10.1016/j.epsl.2017.08.005.

Wang, Xing-Dong, et al. 2017. Reducing the Impact of Thin Clouds on Arctic Ocean Sea Ice Concentration From FengYun-3 MERSI Data Single Cavity. IEEE Access 5: 16341-16348. doi: http://dx.doi.org/10.1109/ACCESS.2017.2737326.

Xian, Yang, et al. 2017. Super-Resolved Fine-Scale Sea Ice Motion Tracking. IEEE Transactions on Geoscience and Remote Sensing 55(10): 5427 - 5439. doi: http://dx.doi.org/10.1109/TGRS.2017.2699081.

Yan, Qingyun, Weimin Huang, and Cecilia Moloney. 2017. Neural Networks Based Sea Ice Detection and Concentration Retrieval From GNSS-R Delay-Doppler Maps. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 10(8): 3789-3798. doi: http://dx.doi.org/10.1109/JSTARS.2017.2689009.

Yeo, Sae-Rim, WonMoo Kim, and Kwang-Yul Kim. 2017. Eurasian snow cover variability in relation to warming trend and Arctic Oscillation. Climate Dynamics 48(1): 499-511. doi: http://dx.doi.org/10.1007/s00382-016-3089-4.

Yu, Lejiang, et al. 2017. Possible connections of the opposite trends in Arctic and Antarctic sea-ice cover. Scientific Reports 7. Art. #45804. doi: http://dx.doi.org/10.1038/srep45804.

Yu, Lingxue, Tingxiang Liu, and Shuwen Zhang. 2017. Temporal and Spatial Changes in Snow Cover and the Corresponding Radiative Forcing Analysis in Siberia from the 1970s to the 2010s. Advances in Meteorology 2017. Art. #9517427. doi: http://dx.doi.org/10.1155/2017/9517427.

Yuan, Naiming, et al. 2017. Increase of the Antarctic Sea Ice Extent is highly significant only in the Ross Sea. Scientific Reports 7. Art. #41096. doi: http://dx.doi.org/10.1038/srep41096.

Zeng, Zhenzhong, et al. 2017. Climate mitigation from vegetation biophysical feedbacks during the past three decades. Nature Climate Change 7(6): 432–436. doi: http://dx.doi.org/10.1038/nclimate3299.

Zhang, Z., et al. 2017. Arctic sea ice volume export through the Fram Strait from combined satellite and model data: 1979–2012. ACTA Oceanologica Sinica 36(1): 44-55. doi: http://dx.doi.org/10.1007/s13131-017-0992-4.

Zhang, Z., et al. 2017. Arctic sea ice volume export through the Fram Strait from combined satellite and model data: 1979–2012. ACTA Oceanologica Sinica 36(1): 44-55. doi: http://dx.doi.org/10.1007/s13131-017-0992-4.

Zhou, Chunxia, and Lei Zheng. 2017. Mapping Radar Glacier Zones and Dry Snow Line in the Antarctic Peninsula Using Sentinel-1 Images. Remote Sensing 9(11). Art. #1171. doi: http://dx.doi.org/10.3390/rs9111171.

2016

Aksenov, Yevgeny, et al. 2016. Arctic pathways of Pacific Water: Arctic Ocean Model Intercomparison experiments. Journal of Geophysical Research - Oceans 121(1): 27–59. doi: http://dx.doi.org/10.1002/2015JC011299.

Anthony, Robert E. 2016. Studies of oceanic, atmospheric, cryospheric, and fluvial processes through spectral analysis of seismic noise. : 1-144. Ph. D. Colorado State University.

Arndt, Stefanie, et al. 2016. Timing and regional patterns of snowmelt on Antarctic sea ice from passive microwave satellite observations. Journal of Geophysical Research - Oceans 121(8): 5916–5930. doi: http://dx.doi.org/10.1002/2015JC011504.

Atwood, Todd, et al. 2016. Forecasting the relative influence of environmental and anthropogenic stressors on polar bears. Ecosphere 7(6). doi: http://dx.doi.org/10.1002/ecs2.1370.

Atwood, Todd, et al. 2016. Rapid Environmental Change Drives Increased Land Use by an Arctic Marine Predator. PLOSone 11(3). Art. #e0155932. doi: http://dx.doi.org/10.1371/journal.pone.0155932.

Auger-Méthé, Marie, Mark A. Lewis, and Andrew E. Derocher. 2016. Home ranges in moving habitats: polar bears and sea ice. 39(1): 26-35. doi: http://dx.doi.org/10.1111/ecog.01260.

Auger-Méthé, Marie, Mark A. Lewis, and Andrew E. Derocher. 2016. Home ranges in moving habitats: polar bears and sea ice. 39(1): 26-35. doi: http://dx.doi.org/10.1111/ecog.01260.

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.

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