Published Research

The following references cite studies that used data distributed by NSIDC. Please contact User Services if you have a reference you would like to share on this page.

2018

Liu, Qingquan, et al. 2018. Inter-Calibration of Passive Microwave Satellite Brightness Temperatures Observed by F13 SSM/I and F17 SSMIS for the Retrieval of Snow Depth on Arctic First-Year Sea Ice. Remote Sensing 10(1). Art. #36. doi: http://dx.doi.org/10.3390/rs10010036.

Petrou, Zisis I., Yang Xi, and Ying Li Tian. 2018. Towards breaking the spatial resolution barriers: An optical flow and super-resolution approach for sea ice motion estimation. ISPRS J. of Photogrammetry and Remote Sensing 138: 164-175. doi: http://dx.doi.org/10.1016/j.isprsjprs.2018.01.020.

Tooth, Matthew, and Mark Tschudi. 2018. Investigating Arctic Sea Ice Survivability in the Beaufort Sea. Remote Sensing 10(2). Art. #267. doi: http://dx.doi.org/doi:10.3390/rs10020267.

Xiao, Xiongxin, et al. 2018. Support vector regression snow-depth retrieval algorithm using passive microwave remote sensing data. Remote Sensing of Environment 210: 48–64. doi: http://dx.doi.org/10.1016/j.rse.2018.03.008.

Zhang, Yinsheng, and Ning Ma. 2018. Spatiotemporal variability of snow cover and snow water equivalent in the last three decades over Eurasia. Journal of Hydrology 559: 238-251. doi: http://dx.doi.org/10.1016/j.jhydrol.2018.02.031.

Zhao, Jinping, et al. 2018. Record Low Sea-Ice Concentration in the Central Arctic during Summer 2010. Advances in Atmospheric Sciences 35(1): 106-115. doi: http://dx.doi.org/10.1007/s00376-017-7066-6.

2017

2017. Enhanced wintertime greenhouse effect reinforcing Arctic amplification and initial sea-ice melting. Cao, Yunfeng 7. Art. #7. doi: http://dx.doi.org/10.1038/s41598-017-08545-2.

Agarwal, Sahil and J. S. Wettlaufer. 2017. The Statistical Properties of Sea Ice Velocity Fields. Journal of Climate 30(13): 4873-4881. doi: http://dx.doi.org/10.1175/JCLI-D-16-0653.1.

Aguiar, Wilton, Mauricio M. Mata, and Rodrigo Kerr. 2017. On deep convection events and Antarctic Bottom Water formation in ocean reanalysis products. Ocean Science 13(6): 851-872. doi: http://dx.doi.org/10.5194/os-13-851-2017, 2017.

Bliss, Angela C., Jeffrey A. Miller, and Walter N. Meier. 2017. Comparison of Passive Microwave-Derived Early Melt Onset Records on Arctic Sea Ice. Remote Sensing 9(3). Art. #199. doi: http://dx.doi.org/10.3390/rs9030199.

Cai, Yu, Chang-Qing Ke, and Zheng Duan. 2017. Monitoring ice variations in Qinghai Lake from 1979 to 2016 using passive microwave remote sensing data. Science of the Total Environment 607-608: 120-131. doi: http://dx.doi.org/10.1016/j.scitotenv.2017.07.027.

Cho, Eunsang, Samuel E. Tuttle, and Jennifer M. Jacobs. 2017. Evaluating Consistency of Snow Water Equivalent Retrievals from Passive Microwave Sensors over the North Central U. S.: SSM/I vs. SSMIS and AMSR-E vs. AMSR2. Remote Sensing 9(5). Art. #465. doi: http://dx.doi.org/10.3390/rs9050465.

Docquier, David, et al. 2017. Relationships between Arctic sea ice drift and strength modelled by NEMO-LIM3.6. The Cryosphere 11(6): 2829-2846. doi: http://dx.doi.org/10.5194/tc-11-2829-2017.

Forman, Barton A., and Yuan Xue. 2017. Machine learning predictions of passive microwave brightness temperature over snow-covered land using the special sensor microwave imager (SSM/I). Physical Geography 38(2): 176-196. doi: http://dx.doi.org/10.1080/02723646.2016.1236606.

Francis, Oceana P., et al. 2017. Anomalous circulation in the Pacific sector of the Arctic Ocean in July–December 2008. Ocean Modelling 117: 12-27. doi: http://dx.doi.org/10.1016/j.ocemod.2017.06.006.

Hermozo, L., L. Eymard, and F. Karbou. 2017. Modeling Sea Ice Surface Emissivity at Microwave Frequencies: Impact of the Surface Assumptions and Potential Use for Sea Ice Extent and Type Classificatio. IEEE Transactions on Geoscience and Remote Sensing 55(2): 943-961. doi: http://dx.doi.org/10.1109/TGRS.2016.2616920.

Hui, Fengming, et al, 2017. Satellite-Based Sea Ice Navigation for Prydz Bay, East Antarctica. Remote Sensing 9(6). Art. #518. doi: http://dx.doi.org/10.3390/rs9060518.

Itkin, Polona, and Thomas Krumpen. 2017. Winter sea ice export from the Laptev Sea preconditions the local summer sea ice cover and fast ice decay. Journal of Geophysical Research - Oceans 122(6): 4661–4674. doi: http://dx.doi.org/10.1002/2016JC012403.

Itkin, Polona, et al. 2017. Thin ice and storms: Sea ice deformation from buoy arrays deployed during N-ICE2015. Journal of Geophysical Research - Oceans 122(6): 4661–4674. doi: http://dx.doi.org/10.1002/2016JC012403.

Ji, Dabin, et al. 2017. A total precipitable water retrieval method over land using the combination of passive microwave and optical remote sensing. Remote Sensing of Environment 191: 313-327. doi: http://dx.doi.org/10.1016/j.rse.2017.01.028.

Kim, Yongwook, et al. 2017. An extended global Earth system data record on daily landscape freeze-thaw status determined from satellite passive microwave remote sensing. Earth System Science Data 9(1): 133-147. doi: http://dx.doi.org/10.5194/essd-9-133-2017.

Kwok, Ron, Shirley S. Pang, and Sahra Kacimi. 2017. Sea ice drift in the Southern Ocean: Regional patterns, variability, and trends. Elementa 5. Art. #32. doi: http://dx.doi.org/10.1525/elementa.226.

Langlois, A., et al. 2017. Detection of rain-on-snow (ROS) events and ice layer formation using passive microwave radiometry: A context for Peary caribou habitat in the Canadian Arctic. Remote Sensing of Environment 189: 84-95. doi: http://dx.doi.org/10.1016/j.rse.2016.11.006.

Lenaerts, Jan T. M., et al. 2017. Climate and surface mass balance of coastal West Antarctica resolved by regional climate modelling. Annals of Glaciology: 1-13. doi: http://dx.doi.org/10.1017/aog.2017.42.

Li, J-L F., et al. 2017. Improved simulation of Antarctic sea ice due to the radiative effects of falling snow. Environmental Research Letters 12(8). Art. #084010. doi: http://dx.doi.org/10.1088/1748-9326/aa7a17.

Ma, Barry, Michael Steele, and Craig M. Lee. 2017. Ekman circulation in the Arctic Ocean: Beyond the Beaufort Gyre. Journal of Geophysical Research - Oceans 122(4): 3358–3374. doi: http://dx.doi.org/10.1002/2016JC012624.

Meyer, Bettina, et al. 2017. The winter pack-ice zone provides a sheltered but food-poor habitat for larval Antarctic krill. Nature Ecology and Evolution 1(12): 1853–1861. doi: http://dx.doi.org/10.1038/s41559-017-0368-3.

Mu, Longjiang, Zhao Jinping, and Zhong Wenli. 2017. Regime shift of the dominant factor for halocline depth in the Canada Basin during 1990-2008. ACTA Oceanologica Sinica 36(1): 35-43. doi: http://dx.doi.org/10.1007/s13131-016-0883-0.

Newton, Robert, et al. 2017. Increasing transnational sea-ice exchange in a changing Arctic Ocean. Earth's Future 5(6): 633–647. doi: http://dx.doi.org/10.1002/2016EF000500.

Nicolas, Julien P., et al. 2017. January 2016 extensive summer melt in West Antarctica favoured by strong El Niño. Nature Communications 8. Art. #15799. doi: http://dx.doi.org/10.1038/ncomms15799.

Passaro, Marcello, Felix L. Müller, and Denise Dettmering. 2017. Lead detection using Cryosat-2 delay-doppler processing and Sentinel-1 SAR images. Advances in Space Research. doi: http://dx.doi.org/10.1016/j.asr.2017.07.011.

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.

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.

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.

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.

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.

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.

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.

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

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.

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.

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

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.

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

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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, 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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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, 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.

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.

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, 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.

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.

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.

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.

Bai, Xuezhi, et al. 2015. Responses of surface heat flux, sea ice and ocean dynamics in the Chukchi–Beaufort sea to storm passages during winter 2006/2007: A numerical study. Remote Sensing of Environment 102: 101-117. doi: http://dx.doi.org/10.1016/j.dsr.2015.04.008.

Barth, Alexander, et al. 2015. Assimilation of sea surface temperature, sea ice concentration and sea ice drift in a model of the Southern Ocean. Ocean Modelling 93: 22-39. doi: http://dx.doi.org/10.1016/j.ocemod.2015.07.011.

Behrendt, A., W. Dierking, and H. Witte. 2015. Thermodynamic sea ice growth in the central Weddell Sea, observed in upward-looking sonar data. Journal of Geophysical Research - Oceans 120(3): 2270-2286. doi: http://dx.doi.org/10.1002/2014JX010408.

Boori, Mukesh, and Ralph Ferraro. 2015. Global Land Cover Classification Based on Microwave Polarization and Gradient Ratio (MPGR). Geoinformatics for Intelligent Transportation. New York, NY: Springer International Publishing, 17-37. doi: http://dx.doi.org/10.1007/978-3-319-11463-7_2.

Collier, E., et al. 2015. Impact of debris cover on glacier ablation and atmosphere–glacier feedbacks in the Karakoram. The Cryosphere 9(4): 1617-1632. doi: http://dx.doi.org/10.5194/tc-9-1617-2015.

Crawford, Alex, and Mark Serreze. 2015. A New Look at the Summer Arctic Frontal Zone. Journal of Climate 28(2): 737-754. doi: http://dx.doi.org/10.1175/JCLI-D-14-00447.1.

Creed, I. F., et al. 2015. Climate warming causes intensification of the hydrological cycle, resulting in changes to the vernal and autumnal windows in a northern temperate forest. Hydrological Processes. doi: http://dx.doi.org/10.1002/hyp.10450.

Dupont, F., et al. 2015. A high-resolution ocean and sea-ice modelling system for the Arctic and North Atlantic oceans. Geoscientific Model Development 8: 1577-1594. doi: http://dx.doi.org/10.5194/gmd-8-1577-2015.

Fluet-Chouinard, Etienne, et al. 2015. Development of a global inundation map at high spatial resolution from topographic downscaling of coarse-scale remote sensing data. Remote Sensing of Environment 158: 348-361. doi: http://dx.doi.org/10.1016/j.rse.2014.10.015.

Frappart, Frédéric, et al. 2015. Surface Freshwater Storage Variations in the Orinoco Floodplains Using Multi-Satellite Observations. Remote Sensing 7(1): 89-110. doi: http://dx.doi.org/10.3390/rs70100089.

Gabrielski, A., G. Badin, and L. Kaleschke. 2015. Anomalous dispersion of sea ice in the Fram Strait region. Journal of Geophysical Research - Oceans 120(3): 1809-1824. doi: http://dx.doi.org/10.1002/2014JC010359.

Grant, Glenn E., and David W. Gallaher. 2015. A Novel Technique for Time-Centric Analysis of Massive Remotely-Sensed Datasets. Remote Sensing 7(4): 3986-4001. doi: http://dx.doi.org/10.3390/rs70403986.

Hansen, E., et al. 2015. Time variability in the annual cycle of sea ice thickness in the Transpolar Drift. Journal of Geophysical Research - Oceans 120(12): 8135-8150. doi: http://dx.doi.org/10.1002/2015JC011102.

Jin, Rui, et al. 2015. Mapping Surface Soil Freeze-Thaw Cycles in China Based on SMMR and SSM/I Brightness Temperatures from 1978 to 2008. Arctic, Antarctic and Alpine Research 47(2): 213-229. doi: http://dx.doi.org/10.1657/AAAR00C-13-304.

Kim, Miae, et al. 2015. Landfast sea ice monitoring using multisensor fusion in the Antarctic. GIScience & Remote Sensing 52(2): 239-256. doi: http://dx.doi.org/10.1080/15481603.2015.1026050.

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