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

Lievens, H., et al. 2016. Assimilation of global radar backscatter and radiometer brightness temperature observations to improve soil moisture and land evaporation estimates. Remote Sensing of Environment Remote Sensing of Environment: 194–210. doi: http://dx.doi.org/10.1016/j.rse.2016.11.022.

Liu, Jiping, et al. 2016. Has Arctic Sea Ice Loss Contributed to Increased Surface Melting of the Greenland Ice Sheet?. Journal of Climate 29(9): 3373–3386. doi: http://dx.doi.org/10.1175/JCLI-D-15-0391.1.

Liu, Qingxiang, et al. 2016. Wind and Wave Climate in the Arctic Ocean as Observed by Altimeters. Journal of Climate 29(22): 7957–7975. doi: http://dx.doi.org/10.1175/JCLI-D-16-0219.1.

Liu, Xiaojin, et al. 2016. Improvement of long-term snow depth product accuracy from passive microwave satellite observations: A case study with SNODAS data. 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Beijing. Piscataway, NJ: Institute of Electrical and Electronics Engineers ( IEEE ), 4876-4879. doi: http://dx.doi.org/10.1109/IGARSS.2016.7730272.

LIu, Yinghui, Jeffrey Key, and Robert Mahoney. 2016. Sea and Freshwater Ice Concentration from VIIRS on Suomi NPP and the Future JPSS Satellites. Remote Sensing 8(6): Art. #523. doi: http://dx.doi.org/10.3390/rs8060523.

Long, David G., and Mary Jo Brodzik. 2016. Optimum Image Formation for Spaceborne Microwave Radiometer Products. IEEE Transactions on Geoscience and Remote Sensing 54(5): 2763-2779. doi: http://dx.doi.org/10.1109/TGRS.2015.2505677.

Long, David G., and Mary Jo Brodzik. 2016. Optimum Image Formation for Spaceborne Microwave Radiometer Products. IEEE Transactions on Geoscience and Remote Sensing 54(5): 2763-2779. doi: http://dx.doi.org/10.1109/TGRS.2015.2505677.

Lunn, Nicholas J., et al. 2016. Demography of an apex predator at the edge of its range: impacts of changing sea ice on polar bears in Hudson Bay. Ecological Applications 2(5): 1302-1320.

Lynch, Amanda H., et al. 2016. Linkages between Arctic summer circulation regimes and regional sea ice anomalies. Journal of Geophysical Research - Atmospheres 121(13): 7868–7880. doi: http://dx.doi.org/10.1002/2016JD025164.

Lynch, Amanda H., et al. 2016. Linkages between Arctic summer circulation regimes and regional sea ice anomalies. Journal of Geophysical Research - Atmospheres 121(13): 7868–7880. doi: http://dx.doi.org/10.1002/2016JD025164.

Madsen, Kristine, et al. 2016. High Resolution Sea-Ice Modelling and Validation of the Arctic with Focus on South Greenland Waters, 2004–2013. Polarforschung 85(2): 101-105. doi: http://dx.doi.org/10.2312/polfor.2016.006.

Mahoney, Andrew R., et al. 2016. Measurement and imaging of infragravity waves in sea ice using InSAR. Geophysical Research Letters 43(12): 6383–6392. doi: http://dx.doi.org/10.1002/2016GL069583.

Mäkinen, J., and J. Vanhatalo. 2016. Hydrographic responses to regional covariates across the Kara Sea. Journal of Geophysical Research - Oceans 121(12): 8872–8887. doi: http://dx.doi.org/10.1002/2016JC011981.

Massonnet, François, et al. 2016. Using climate models to estimate the quality of global observational data sets. Science aaf6369. doi: http://dx.doi.org/10.1126/science.aaf6369.

Massonnet, François, et al. 2016. Using climate models to estimate the quality of global observational data sets. Science aaf6369. doi: http://dx.doi.org/10.1126/science.aaf6369.

McCall, Alysa G., et al. 2016. Seasonal habitat selection by adult female polar bears in western Hudson Bay. Population Ecology 58(3): 407-419. doi: http://dx.doi.org/10.1007/s10144-016-0549-y.

McCusker, Kelly E., et al. 2016. Twenty-five winters of unexpected Eurasian cooling unlikely due to Arctic sea-ice loss. Nature Geoscience 9(11): 838–842. doi: http://dx.doi.org/10.1038/ngeo2820.

Merino, Nacho, et al. 2016. Antarctic icebergs melt over the Southern Ocean: Climatology and impact on sea ice. Ocean Modelling 104: 99-110. doi: http://dx.doi.org/10.1016/j.ocemod.2016.05.001.

Miles, Bertie, Chris R. Stokes and Stewart S. R. Jamieson. 2016. Pan–ice-sheet glacier terminus change in East Antarctica reveals sensitivity of Wilkes Land to sea-ice changes. Science Advances 2(5). Art. #e1501350. doi: http://dx.doi.org/10.1126/sciadv.1501350.

Münchow, Andreas 2016. Volume and Freshwater Flux Observations from Nares Strait to the West of Greenland at Daily Time Scales from 2003 to 2009. Journal of Physical Oceanography 46(1): 141-157. doi: http://dx.doi.org/10.1175/JPO-D-15-0093.1.

Murphy, E. C., et al. 2016. Breeding chronology and productivity of Black-legged Kittiwakes Rissa tridacytla at Bluff, Alaska: associations with regional environmental indices and distant colonies. Marine Ornithology 44: 183–201.

O'Corry-Crowe, Greg, et al. 2016. Genetic profiling links changing sea-ice to shifting beluga whale migration patterns. Biology Letters 12(11). Art. #20160404. doi: http://dx.doi.org/10.1098/rsbl.2016.0404.

Obbard, M. E., et al. 2016. Trends in body condition in polar bears (Ursus maritimus) from the Southern Hudson Bay subpopulation in relation to changes in sea ice. Arctic Science 2(1): 15-32. doi: http://dx.doi.org/10.1139/as-2015-0027.

Ogi, Mayaso, David G. Barber, and Søren Rysgaard. 2016. The relationship between summer sea ice extent in Hudson Bay and the Arctic Ocean via the atmospheric circulation. Atmospheric Science Letters 17(11): 603-609. doi: http://dx.doi.org/10.1002/asl.709.

Palerme, Cyril, et al. 2016. Evaluation of current and projected Antarctic precipitation in CMIP5 models. Climate Dynamics. doi: http://dx.doi.org/10.1007/s00382-016-3071-1.

Peterson, Peter K., William R. Simpson, and Son V. Nghiem. 2016. Variability of bromine monoxide at Barrow, Alaska, over four halogen activation (March–May) seasons and at two on-ice locations. Journal of Geophysical Research - Atmospheres 121(3): 1381–1396. doi: http://dx.doi.org/10.1002/2015JD024094.

Petty, Alek A., et al. 2016. Sea ice circulation around the Beaufort Gyre: The changing role of wind forcing and the sea ice state. Journal of Geophysical Research - Oceans 121(5): 3278–3296. doi: http://dx.doi.org/10.1002/2015JC010903.

Petty, Alek A., et al. 2016. Sea ice circulation around the Beaufort Gyre: The changing role of wind forcing and the sea ice state. Journal of Geophysical Research - Oceans 121(5): 3278–3296. doi: http://dx.doi.org/10.1002/2015JC010903.

Prigent, C., C. Jimenez, and F. Aires. 2016. Toward “all weather,” long record, and real-time land surface temperature retrievals from microwave satellite observations. Journal of Geophysical Research - Atmospheres 121(10): 5699–5717. doi: http://dx.doi.org/10.1002/2015JD024402.

Purich, Ariaan, et al. 2016. Evidence for link between modelled trends in Antarctic sea ice and underestimated westerly wind changes. Nature Communications 7. Art. #10409. doi: http://dx.doi.org/10.1038/ncomms10409.

Quinn, Kevin Martin. 2016. Precipitation Cluster Distributions: Current Climate Storm Statistics and Projected Changes Under Global Warming. . Ph. D. University of California Los Angeles.

Rampal, Pierre, et al. 2016. neXtSIM: a new Lagrangian sea ice model. The Cryosphere 10(3): 1055-1073. doi: http://dx.doi.org/10.5194/tc-10-1055-2016.

Ray, G. Carleton, et al. 2016. Decadal Bering Sea seascape change: consequences for Pacific walruses and indigenous hunters. Ecological Applications 26(1): 24-41. doi: http://dx.doi.org/10.1890/15-0430.

Ray, G. Carleton, et al. 2016. Decadal Bering Sea seascape change: consequences for Pacific walruses and indigenous hunters. Ecological Applications 26(1): 24-41. doi: http://dx.doi.org/10.1890/15-0430.

Ray, G. Carleton, et al. 2016. Decadal Bering Sea seascape change: consequences for Pacific walruses and indigenous hunters. Ecological Applications 26(1): 24-41. doi: http://dx.doi.org/10.1890/15-0430.

Ray, G. Carleton, et al. 2016. Decadal Bering Sea seascape change: consequences for Pacific walruses and indigenous hunters. Ecological Applications 26(1): 24-41. doi: http://dx.doi.org/10.1890/15-0430.

Runge, Michael C., et al. 2016. Detecting failure of climate predictions. Nature Climate Change 6: 861-864. doi: http://dx.doi.org/10.1038/nclimate3041.

Sasaki, Hiroko, et al. 2016. Distribution of Arctic and Pacific copepods and their habitat in the northern Bering and Chukchi seas. Biogeosciences 13(15): 4555-4567. doi: http://dx.doi.org/10.5194/bg-13-4555-2016.

Schine, Casey M., Gert van Dijken, and Kevin R. Arrigo. 2016. Spatial analysis of trends in primary production and relationship with large-scale climate variability in the Ross Sea, Antarctica (1997–2013). Journal of Geophysical Research - Oceans 121(1): 368-386. doi: http://dx.doi.org/10.1002/2015JC011014.

Sciullo, L., G. W. Thiemann, and N. J. Lunn. 2016. Comparative assessment of metrics for monitoring the body condition of polar bears in western Hudson Bay. Journal of Zoology 300(1): 45–58. doi: http://dx.doi.org/10.1111/jzo.12354.

Séférian, Roland, et al. 2016. Development and evaluation of CNRM Earth system model – CNRM-ESM1. Geoscientific Model Development 9(4): 1423-1453. doi: http://dx.doi.org/10.5194/gmd-9-1423-2016.

Serreze, Mark C., et al. 2016. Summer atmospheric circulation anomalies over the Arctic Ocean and their influences on September sea ice extent: A cautionary tale. Journal of Geophysical Research - Atmospheres 121(19): 11,463–11,485. doi: http://dx.doi.org/10.1002/2016JD025161.

Serreze, Mark C., et al. 2016. Summer atmospheric circulation anomalies over the Arctic Ocean and their influences on September sea ice extent: A cautionary tale. Journal of Geophysical Research - Atmospheres 121(19): 11,463–11,485. doi: http://dx.doi.org/10.1002/2016JD025161.

Sha, Longbin, et al. 2016. Solar forcing as an important trigger for West Greenland sea-ice variability over the last millennium. Quaternary Science Reviews 131A(1): 148-156. doi: http://dx.doi.org/10.1016/j.quascirev.2015.11.002.

Shang, Haolu, Li Jia, and Massimo Menenti. 2016. Modeling and Reconstruction of Time Series of Passive Microwave Data by Discrete Fourier Transform Guided Filtering and Harmonic Analysis. Remote Sensing 8(11). Art. #970. doi: http://dx.doi.org/10.3390/rs8110970.

Silk, Janet R. D., et al. 2016. Environmental correlates of Antarctic krill distribution in the Scotia Sea and southern Drake Passage . ICES Journal of Marine Science 73(9): 2288-2301. doi: http://dx.doi.org/10.1093/icesjms/fsw097.

Singh, Kamal Kant. 2016. Monitoring of snow surface temperature in North West- Himalaya using passive microwave satellite data. Indian Journal of Radio and Space Physics 45(1): 20-29.

Smik, Lukas, et al. 2016. Semi-quantitative estimates of paleo Arctic sea ice concentration based on source-specific highly branched isoprenoid alkenes: A further development of the PIP25 index. Organic Geochemistry 92: 63-69. doi: http://dx.doi.org/10.1016/j.orggeochem.2015.12.007.

Sorokina, Svetlana A., et al. 2016. Observed Atmospheric Coupling between Barents Sea Ice and the Warm-Arctic Cold-Siberian Anomaly Pattern. Journal of Climate 29(2): 495-511. doi: http://dx.doi.org/10.1175/JCLI-D-15-0046.1.

Spencer, Nora, et al. 2016. Key winter habitat of the ivory gull Pagophila eburnea in the Canadian Arctic. Endangered Species Research 31: 33-45. doi: http://dx.doi.org/10.3354/esr00747.

Spolaor, A., et al. 2016. Halogen-based reconstruction of Russian Arctic sea ice area from the Akademii Nauk ice core (Severnaya Zemlya). The Cryosphere 10: 245-256. doi: http://dx.doi.org/10.5194/tc-10-245-2016.

Steele, Michael, and Suzanne Dickinson. 2016. The phenology of Arctic Ocean surface warming. Journal of Geophysical Research - Oceans 121(9): 6847–6861. doi: http://dx.doi.org/10.1002/2016JC012089.

Stern, Harry L., and Kristin L. Laidre. 2016. Sea-ice indicators of polar bear habitat. The Cryosphere 10(5): 2027-2041. doi: http://dx.doi.org/10.5194/tc-10-2027-2016.

Stroeve, Julienne C., et al. 2016. Mapping and assessing variability in the Antarctic marginal ice zone,pack ice and coastal polynyas in two sea ice algorithms with implications on breeding success of snow petrels. The Cryosphere 10(4): 1823-1843. doi: http://dx.doi.org/10.5194/tc-10-1823-2016.

Stroeve, Julienne, Alex D. Crawford, and Sharon Stammerjohn. 2016. Using timing of ice retreat to predict timing of fall freeze-up in the Arctic. Geophysical Research Letters 43(12): 6332–6340. doi: http://dx.doi.org/10.1002/2016GL069314.

Strong, Courtenay, and and Kenneth M. Golden. 2016. Filling the Polar Data Gap in Sea Ice Concentration Fields Using Partial Differential Equations. Remote Sensing 8(6). Art. #442. doi: http://dx.doi.org/10.3390/rs8060442.

Sugimoto, Fuko, et al. 2016. Interannual variability in sea-ice thickness in the pack-ice zone off Lützow–Holm Bay, East Antarctica. Polar Science 10(1): 43-51. doi: http://dx.doi.org/10.1016/j.polar.2015.10.003.

Suomi, Irene, et al. 2016. Gust factor based on research aircraft measurements: a new methodology applied to the Arctic marine boundary layer. Quarterly Journal of the Royal Meteorological Society 142(701): 2985–3000. doi: http://dx.doi.org/10.1002/qj.2880.

Szanyi, S., et al. 2016. Persistent artifacts in the NSIDC ice motion data set and their implications for analysis. Geophysical Research Letters 43(20): 10,800–10,807. doi: http://dx.doi.org/10.1002/2016GL069799.

Tamura, Takeshi, et al. 2016. Sea ice production variability in Antarctic coastal polynyas. Journal of Geophysical Research - Oceans 121(5): 2967–2979. doi: http://dx.doi.org/10.1002/2015JC011537.

Teleti, Praveen Rao, and Alvarinho J. Luis. 2016. The Role of the Southern Hemisphere Polar Cell on Antarctic Sea Ice Variability. International Journal of Geosciences 7: 120-134. doi: http://dx.doi.org/10.4236/ijg.2016.72010.

Thomas, Elizabeth R., and Nerilie J. Abram. 2016. Ice core reconstruction of sea ice change in the Amundsen-Ross Seas since 1702 A.D.. Geophysical Research Letters 43(10): 5309–5317. doi: http://dx.doi.org/10.1002/2016GL068130.

Thomson, Jim, et al. 2016. Emerging trends in the sea state of the Beaufort and Chukchi seas. Ocean Modelling 105: 1-12. doi: http://dx.doi.org/10.1016/j.ocemod.2016.02.009.

Tilling, Rachel L., Andy Ridout, and Andrew Shepherd. 2016. Near-real-time Arctic sea ice thickness and volume from CryoSat-2 . The Cryosphere 10(5): 2003-2012. doi: http://dx.doi.org/10.5194/tc-10-2003-2016.

Tiwari, Sarita, Sarat C. Kar, and R. Bhatla. 2016. Examination of snowmelt over Western Himalayas using remote sensing data. Theoretical and Applied Climatology 125(1): 227–239. doi: http://dx.doi.org/10.1007/s00704-015-1506-y.

Tiwari, Sarita, Sarat C. Kar, and R. Bhatla. 2016. Interannual Variability of Snow Water Equivalent (SWE) over Western Himalayas. Pure and Applied Geophysics 173: 1317–1335. doi: http://dx.doi.org/10.1007/s00024-015-1163-1.

Tsujii, Koki, et al. 2016. The migration of fin whales into the southern Chukchi Sea as monitored with passive acoustics. ICES Journal of Marine Science. doi: http://dx.doi.org/10.1093/icesjms/fsv271.

Turner, John, et al. 2016. Antarctic sea ice increase consistent with intrinsic variability of the Amundsen Sea Low. Climate Dynamics 46(7): 2391–2402. doi: http://dx.doi.org/10.1007/s00382-015-2708-9.

Wang, C., et al. 2016. Atmospheric conditions in the central Arctic Ocean through the melt seasons of 2012 and 2013: Impact on surface conditions and solar energy deposition into the ice-ocean system. Journal of Geophysical Research - Atmospheres 121(3): 1043–1058. doi: http://dx.doi.org/10.1002/2015JD023712.

Wang, Jun, Yang Wang, and Shiji Wang. 2016. Biophysical and socioeconomic drivers of the dynamics in snow hazard impacts across scales and over heterogeneous landscape in Northern Tibet. Natural Hazards 81(3): 1499-1514. doi: http://dx.doi.org/10.1007/s11069-015-2142-7.

Wang, Lei, et al. 2016. Predicting Summer Arctic Sea Ice Concentration Intraseasonal Variability Using a Vector. Journal of Climate 29(4): 1529-1543. doi: http://dx.doi.org/10.1175/JCLI-D-15-0313.1.

Wang, Libo, et al. 2016. Frequency and distribution of winter melt events from passive microwave satellite data in the pan-Arctic, 1988–2013. The Cryosphere 10(6): 2589-2602. doi: http://dx.doi.org/10.5194/tc-10-2589-2016.

Wang, Shao-Yin, and Jiping Liu. 2016. A glaciochemical study of 120 m ice core from Mill Island, East Antarctica. Atmospheric and Oceanic Science Letters 9(5): 366-374. doi: http://dx.doi.org/10.1080/16742834.2016.1207482.

Wang, Xuanji, et al. 2016. Comparison of Arctic Sea Ice Thickness from Satellites, Aircraft, and PIOMAS Data. Remote Sensing 8(9). Art. #713. doi: http://dx.doi.org/10.3390/rs8090713.

Wang, Xuanji, et al. 2016. Comparison of Arctic Sea Ice Thickness from Satellites, Aircraft, and PIOMAS Data. Remote Sensing 8(9). Art. #713. doi: http://dx.doi.org/10.3390/rs8090713.

Wang, Yonggang, Bart Geerts, and Yaosheng Chen. 2016. Vertical structure of boundary layer convection during cold-air outbreaks at Barrow, Alaska. Journal of Geophysical Research - Atmospheres 121(1): 399-412. doi: http://dx.doi.org/10.1002/2015JD023506.

Wang, Yu, et al. 2016. Wind and wave influences on sea ice floe size and leads in the Beaufort and Chukchi Seas during the summer-fall transition 2014. Journal of Geophysical Research - Oceans 121(2): 1502–1525. doi: http://dx.doi.org/10.1002/ 2015JC011349.

Williams, James, and Bruno Tremblay. 2016. Dynamic Preconditioning of the Minimum September Sea-Ice Extent. Journal of Climate 29(16): 5879–5891. doi: http://dx.doi.org/10.1175/JCLI-D-15-0515.1.

Willis, Megan D., et al. 2016. Growth of nucleation mode particles in the summertime Arctic: a case study. Atmospheric Chemistry and Physics 16(12): 7663-7679. doi: http://dx.doi.org/10.5194/acp-16-7663-2016.

Wu, Lili, et al. 2016. Brightness temperature simulation of snow cover based on snow grain size evolution using in situ data. Journal of Applied Remote Sensing 10(3). Art. #036016. doi: http://dx.doi.org/10.1117/1.JRS.10.036016.

Wu, Renguang, and Shangfeng Chen. 2016. Regional change in snow water equivalent–surface air temperature relationship over Eurasia during boreal spring. Climate Dynamics. doi: http://dx.doi.org/10.1007/s003.

Wu, Renguang, and Zhang Chen. 2016. An Interdecadal Increase in the Spring Bering Sea Ice Cover in 2007. Frontiers in Earth Science. doi: http://dx.doi.org/10.3389/feart.2016.00026.

Xiao, Zhixiang, and Anmin Duan. 2016. Impacts of Tibetan Plateau Snow Cover on the Interannual Variability of the East Asian Summer Monsoon . Journal of Climate 29(12): 8495–8514. doi: http://dx.doi.org/10.1175/JCLI-D-16-0029.1.

Xu, Lei, et al. 2016. Sensitivity analysis of the long-term trend in Antarctic sea ice extent. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Beijing. Piscataway, NJ: Institute of Electrical and Electronics Engineers ( IEEE ), 4868-4871. doi: http://dx.doi.org/10.1109/IGARSS.2016.7730270.

Xu, Xiaocong, et al. 2016. Global snow cover estimation with Microwave Brightness Temperature measurements and one-class in situ observations. Remote Sensing of Environment 182: 227-251. doi: http://dx.doi.org/10.1016/j.rse.2016.05.010.

Yang, Chao-Yuan, et al. 2016. Assessment of Arctic and Antarctic sea ice predictability in CMIP5 decadal hindcasts. The Cryosphere 10(5): 2429–2452. doi: http://dx.doi.org/10.5194/tc-10-2429-2016.

Yang, Chunxue, et al. 2016. The Rapid Warming of the North Atlantic Ocean in the Mid-1990s in an Eddy-Permitting Ocean Reanalysis (1982–2013). Journal of Climate 29(15): 5417-5430. doi: http://dx.doi.org/10.1175/JCLI-D-15-0438.1.

Yang, Qinghua, et al. 2016. Taking into account atmospheric uncertainty improves sequential assimilation of SMOS sea ice thickness data in an ice-ocean model. Journal of Atmospheric and Oceanic Technology 33(3): 397-407. doi: http://dx.doi.org/10.1175/JTECH-D-15-0176.1.

Yang, Xiao-Yi, Xiaojun Yuan, and Mingfang Ting. 2016. Dynamical Link between the Barents–Kara Sea Ice and the Arctic Oscillation. Journal of Climate 29(14): 5103-5122. doi: http://dx.doi.org/10.1175/JCLI-D-15-0669.1.

Ye, Yufang, et al. 2016. Improving Multiyear Sea Ice Concentration Estimates with Sea Ice Drift. Remote Sensing 8(5). Art. #397. doi: http://dx.doi.org/10.3390/rs8050397.

Yuan, Xiaojun, et al. 2016. Arctic Sea Ice Seasonal Prediction by a Linear Markov Model. Journal of Climate 29(22): 8151-8173. doi: http://dx.doi.org/10.1175/JCLI-D-15-0858.1.

Yurkowski, David J., et al. 2016. Influence of sea ice phenology on the movement ecology of ringed seals across their latitudinal range. Marine Ecology Progress Series 562: 237-250. doi: http://dx.doi.org/10.3354/meps11950.

Zhang, Shuai, and Huilin Gao. 2016. A novel algorithm for monitoring reservoirs under all-weather conditions at a high temporal resolution through passive microwave remote sensing. Geophysical Research Letters 43(15): 8052–8059. doi: http://dx.doi.org/10.1002/2016GL069560.

Zhang, Yu, et al. 2016. Seasonal and interannual variability of the Arctic sea ice: A comparison between AO-FVCOM and observations. Journal of Geophysical Research - Oceans 121(11): 8320–8350. doi: http://dx.doi.org/10.1002/2016JC011841.

Zhang, Yu, et al. 2016. Seasonal and interannual variability of the Arctic sea ice: A comparison between AO-FVCOM and observations. Journal of Geophysical Research - Oceans 121(11): 8320–8350. doi: http://dx.doi.org/10.1002/2016JC011841.

Zhao, Xi, et al. 2016. The impact of averaging methods on the trend analysis of the Antarctic sea ice extent and perimeter. Spatial Statistics 18A: 221–233. doi: http://dx.doi.org/10.1016/j.spasta.2016.04.002.

2015

Ainley, David G., et al. 2015. An apparent population decrease, or change in distribution, of Weddell seals along the Victoria Land coast. Marine Mammal Science 31(4): 1338-1361. doi: http://dx.doi.org/10.1111/mms.12220.

Allan, J. D., et al. 2015. Iodine observed in new particle formation events in the Arctic atmosphere during ACCACIA. Atmospheric Chemistry and Physics 15: 5599-5609. doi: http://dx.doi.org/10.5194/acp-15-5599-2015.

André, C. , et al. 2015. Land surface temperature retrieval over circumpolar Arctic using SSM/I–SSMIS and MODIS data. Remote Sensing of Environment 162: 1-10. doi: http://dx.doi.org/10.1016/j.rse.2015.01.028.

Armitage, Thomas W. K., and Andy L. Ridout. 2015. Arctic sea ice freeboard from AltiKa and comparison with CryoSat-2 and Operation IceBridge. Geophysical Research Letters 42(16): 6724-6731. doi: http://dx.doi.org/10.1002/2015GL064823.

Pages