Published Research

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

2018

Ji, Qing, et al. 2018. Statistical Analysis of SSMIS Sea Ice Concentration Threshold at the Arctic Sea Ice Edge during Summer Based on MODIS and Ship-Based Observational Data. Sensors 18(4): Art. # 1109. doi: http://dx.doi.org/10.3390/s18041109.

Li, Chunhong, et al. 2018. Spatiotemporal variation of snow cover over the Tibetan Plateau based on MODIS snow product, 2001–2014. International Journal of Climatology 38(2): 708–728. doi: http://dx.doi.org/10.1002/joc.5204.

Liu, Yang, et al. 2018. Spatial distribution of snow depth based on geographically weighted regression kriging in the Bayanbulak Basin of the Tianshan Mountains, China. Journal of Mountain Science 15(1): 33-45. doi: http://dx.doi.org/10.1007/s11629-017-4564-z.

Ryan, Jonathan C., et al. 2018. Dark zone of the Greenland Ice Sheet controlled by distributed biologically-active impurities. Nature Communications 9. Art. #1065. doi: http://dx.doi.org/10.1038/s41467-018-03353-2.

Sexstone, Graham A., et al. 2018. Snow Sublimation in Mountain Environments and Its Sensitivity to Forest Disturbance and Climate Warming . Water Resources Research 54(2): 1191-1211. doi: http://dx.doi.org/10.1002/2017WR021172.

Tiwari, Sarita, Sarat C. Kar, and R. Bhatla. 2018. Mid-21st century projections of hydroclimate in Western Himalayas and Satluj River basin. Global and Planetary Change 161: 10-27. doi: http://dx.doi.org/10.1016/j.gloplacha.2017.10.013.

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.

Toure, Ally M., et al. 2018. Assimilation of MODIS Snow Cover Fraction Observations into the NASA Catchment Land Surface Model. Remote Sensing 10(2). Art. # 316. doi: http://dx.doi.org/10.3390/rs10020316.

Valentin, Melissa McShea, Terri S. Hogue, and Lauren E. Hay. 2018. Hydrologic Regime Changes in a High-Latitude Glacierized Watershed under Future Climate Conditions. Water 10(2). Art. #128. doi: http://dx.doi.org/10.3390/w10020128.

Wang, Yunlong, et al. 2018. Tracking Snow Variations in the Northern Hemisphere Using Multi-Source Remote Sensing Data (2000–2015). Remote Sensing 10(1). Art. #136. doi: http://dx.doi.org/10.3390/rs10010136.

2017

Abera, Wuletawu, et al. 2017. Estimating the water budget components and their variability in a pre-alpine basin with JGrass-NewAGE. Advances in Water Resources 104: 37-54. doi: http://dx.doi.org/10.1016/j.advwatres.2017.03.010.

Adnan, Muhammad, et al. 2017. Snowmelt Runoff Modelling under Projected Climate Change Patterns in the Gilgit River Basin of Northern Pakistan. Polish Journal of Environmental Studies 26(2): 525-542. doi: http://dx.doi.org/10.15244/pjoes/66719.

Alraddawi, Dunya, et al. 2017. Enhanced MODIS Atmospheric Total Water Vapour Content Trends in Response to Arctic Amplification. Atmosphere 8(12). Art. #241. doi: http://dx.doi.org/10.3390/atmos8120241.

Azmat, M., et al. 2017. Impacts of changing climate and snow cover on the flow regime of Jhelum River, Western Himalayas. Regional Environmental Change 17(3): 813–825. doi: http://dx.doi.org/10.1007/s10113-016-1072-6.

Baldwin, D., et al. 2017. Validation of Suomi-NPP VIIRS sea ice concentration with very high-resolution satellite and airborne camera imagery. ISPRS Journal of Photogrammetry and Remote Sensing 130: 122–138. doi: http://dx.doi.org/10.1016/j.isprsjprs.2017.05.018.

Barry, Roger G. 2017. The Arctic Cryosphere in the Twenty-First Century. Geographical Review 107(1): 69-88. doi: http://dx.doi.org/10.1111/gere.12227.

Basang, Droma, Knut Barthel, and Jan Asle Olseth. 2017. Satellite and Ground Observations of Snow Cover in Tibet during 2001–2015. Remote Sensing 9(11). Art. #1201. doi: http://dx.doi.org/10.3390/rs9111201.

Benz, Suzanne A., Peter Bayer, and Philipp Blum. 2017. Global patterns of shallow groundwater temperatures. Environmental Research Letters 12(3). Art. #034005. doi: http://dx.doi.org/10.1088/1748-9326/aa5fb0.

Bhardwaj, Anshuman, et al. 2017. MODIS-based estimates of strong snow surface temperature anomaly related to high altitude earthquakes of 2015. Remote Sensing of Environment 188: 1-8. doi: http://dx.doi.org/10.1016/j.rse.2016.11.005.

Bright, Ryan M., et al. 2017. Local temperature response to land cover and management change driven by non-radiative processes. Nature Climate Change 7: 296-302. doi: http://dx.doi.org/10.1038/nclimate3250.

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.

Caro, Tim, et al. 2017. Why is the giant panda black and white? . Behavioral Ecology 28(3): 657-667. doi: http://dx.doi.org/10.1093/beheco/arx008.

Casey, Kimberly A., et al. 2017. Impact of MODIS sensor calibration updates on Greenland Ice Sheet surface reflectance and albedo trends. The Cryosphere 11(4): 1781–1795. doi: http://dx.doi.org/10.5194/tc-11-1781-2017.

Chen, Xi, et al. 2017. Improved modeling of snow and glacier melting by a progressive two-stage calibration strategy with GRACE and multisource data: How snow and glacier meltwater contributes to the runoff of the Upper Brahmaputra River basin?. Water Resources Research 53(3): 2431-2466. doi: http://dx.doi.org/10.1002/2016WR019656.

Chiphang, N., et al. 2017. Temporal variations in snow albedo at glaciated upper elevation zone of an Eastern Himalayan river basin. Geological Society, London, Special Publications 462. doi: http://dx.doi.org/10.1144/SP462.8.

Choubin, Bahram, et al. 2017. Watershed classification by remote sensing indices: A fuzzy c-means clustering approach. Journal of Mountain Science 14(10): 2053-2063. doi: http://dx.doi.org/10.1007/s11629-017-4357-4.

Collados‐Lara, Antonio-Juan, E. Pardo-Igúzquiza, and D. Pulido-Velazquez. 2017. Spatiotemporal estimation of snow depth using point data from snow stakes, digital terrain models, and satellite data. Hydrological Processes 31(10): 1966–1982. doi: http://dx.doi.org/10.1002/hyp.11165.

Cooley, Sarah W., and Poul Christoffersen. 2017. Observation Bias Correction Reveals More Rapidly Draining Lakes on the Greenland Ice Sheet. Journal of Geophysical Research - Earth Surface 122(10): 1867–1881. doi: http://dx.doi.org/10.1002/2017JF004255.

Curtis, Aaron, and Philip Kyle. 2017. Methods for mapping and monitoring global glaciovolcanism. Journal of Volcanolgy and Geothermal Research 333-334: 134–144. doi: http://dx.doi.org/10.1016/j.jvolgeores.2017.01.017.

Dai, Liyun, et al. 2017. Evaluation of snow cover and snow depth on the Qinghai–Tibetan Plateau derived from passive microwave remote sensing. The Cryosphere 11(4): 1933–1948. doi: http://dx.doi.org/10.5194/tc-11-1933-2017.

Dariane, Alireza B., Amin Khoramian, and Emanuele Santi. 2017. Investigating spatiotemporal snow cover variability via cloud-free MODIS snow cover product in Central Alborz Region. Remote Sensing of Environment 202: 152-165. doi: http://dx.doi.org/10.1016/j.rse.2017.05.042.

Dhami, Birsingh, et al. 2017. Evaluation of the SWAT model for water balance study of a mountainous snowfed river basin of Nepal. Environmental Earth Sciences 77. Art. #21. doi: http://dx.doi.org/10.1007/s12665-017-7210-8.

Fayad, Abbas, et al. 2017. Snow observations in Mount Lebanon (2011-2016). Earth System Science Data 9(2): 573-587. doi: http://dx.doi.org/10.5194/essd-9-573-2017.

Ga, Zhuo, et al. 2017. Distribution of winter-spring snow over the Tibetan Plateau and its relationship with summer precipitation in Yangtze River. Sciences in Cold and Arid Regions 9(1): 20-28. doi: http://dx.doi.org/10.3724/SP.J.1226.2017.00020.

Gurung, Deo Raj, et al. 2017. Climate and topographic controls on snow cover dynamics in the Hindu Kush Himalaya. International Journal of Climatology 37(10): 3873-3882. doi: http://dx.doi.org/10.1002/joc.4961.

Hall, Joanne V. and Tatiana V. Loboda 2017. Quantifying the Potential for Low-Level Transport of Black Carbon Emissions from Cropland Burning in Russia to the Snow-Covered Arctic. Frontiers in Earth Science 5. Art. #109. doi: http://dx.doi.org/10.3389/feart.2017.00109.

Hu, Tongxi, et al. 2017. High-Resolution Mapping of Freeze/Thaw Status in China via Fusion of MODIS and AMSR2 Data. Remote Sensing 9(12). Art. #1339. doi: http://dx.doi.org/10.3390/rs9121339.

Huang, Xiaodong, et al. 2017. Impact of climate and elevation on snow cover using integrated remote sensing snow products in Tibetan Plateau. Remote Sensing of Environment 190: 274–288. doi: http://dx.doi.org/10.1016/j.rse.2016.12.028.

Huang, Yan, et al. 2017. Improving MODIS snow products with a HMRF-based spatio-temporal modeling technique in the Upper Rio Grande Basin. Remote Sensing of Environment 204: 568-582. doi: http://dx.doi.org/10.1016/j.rse.2017.10.001.

Hurley, Mark A., et al. 2017. Regional-scale models for predicting overwinter survival of juvenile ungulates. Journal of Wildlife Management 81(3): 364–378. doi: http://dx.doi.org/10.1002/jwmg.21211.

Iijima, Yoshihiro, and Masatake E. Hori. 2017. Cold air formation and advection over Eurasia during “dzud” cold disaster winters in Mongolia. Natural Hazards. doi: http://dx.doi.org/10.1007/s11069-016-2683-4.

Jeong, Dae Il, Laxmi Sushama, and M. Naveed Khaliq. 2017. Attribution of spring snow water equivalent (SWE) changes over the northern hemisphere to anthropogenic effects. Climate Dynamics 48(11-12): 3645-3658. doi: http://dx.doi.org/10.1007/s00382-016-3291-4.

Jin, Suming, et al. 2017. A land cover change detection and classification protocol for updating Alaska NLCD 2001 to 2011. Remote Sensing of Environment 195: 44-55. doi: http://dx.doi.org/10.1016/j.rse.2017.04.021.

Kadlec, Jiří and Daniel P. Ames. 2017. Using crowdsourced and weather station data to fill cloud gaps in MODIS snow cover datasets. Environmental Modelling and Software 95: 258-270. doi: http://dx.doi.org/10.1016/j.envsoft.2017.06.002.

Katlein, Christian, Stefan Hendricks, and Jeffrey Key. 2017. Brief communication: Increasing shortwave absorption over the Arctic Ocean is not balanced by trends in the Antarctic. The Cryosphere 11(5): 2111-2116. doi: http://dx.doi.org/10.5194/tc-11-2111-2017.

Keikhosravi Kiany, Mohammad S., et al. 2017. Spatial and Temporal Variations of Snow Cover in the Karoon River Basin, Iran, 2003–2015. Water 9(12). Art. #965. doi: http://dx.doi.org/10.3390/w9120965.

Kempenaers, Bart, and Mihai Valcu. 2017. Breeding site sampling across the Arctic by individual males of a polygynous shorebird. Nature 541: 528–531. doi: http://dx.doi.org/10.1038/nature20813.

Klein, Igor, et al. 2017. Global WaterPack – A 250 m resolution dataset revealing the daily dynamics of global inland water bodies. Remote Sensing of Environment 198: 345-362. doi: http://dx.doi.org/10.1016/j.rse.2017.06.045.

Knipper, Kyle R., et al. 2017. Downscaling SMAP and SMOS soil moisture with moderate-resolution imaging spectroradiometer visible and infrared products over southern Arizona. Journal of Applied Remote Sensing 11(12). Art. #020621. doi: http://dx.doi.org/10.1117/1.JRS.11.026021.

Kwon, Yonghwan, et al. 2017. Improving the Radiance Assimilation Performance in Estimating Snow Water Storage across Snow and Land-Cover Types in North America. Journal of Hydrometeorology 18(3): 651–668. doi: http://dx.doi.org/10.1175/JHM-D-16-0102.1.

Kwon, Yonghwan, et al. 2017. Estimating Snow Water Storage in North America Using CLM4, DART, and Snow Radiance Data Assimilation . Journal of Hydrometeorology 17(11): 2853–2874. doi: http://dx.doi.org/10.1175/JHM-D-16-0028.1.

Le Corre, Mael, Christian Dussault, and Steeve D. Côté. 2017. Weather conditions and variation in timing of spring and fall migrations of migratory caribou . Journal of Mammology 98(1): 260-271. doi: http://dx.doi.org/10.1093/jmammal/gyw177.

Levin, Noam. 2017. The impact of seasonal changes on observed nighttime brightness from 2014 to 2015 monthly VIIRS DNB composites. Remote Sensing of Environment 193: 150-164. doi: http://dx.doi.org/10.1016/j.rse.2017.03.003.

Li, Xinghua, et al. 2017. Monitoring snow cover variability (2000–2014) in the Hengduan Mountains based on cloud-removed MODIS products with an adaptive spatio-temporal weighted method. Journal of Hydrology 551: 314-327. doi: http://dx.doi.org/10.1016/j.jhydrol.2017.05.049.

Liang, Hui, et al. 2017. Fractional Snow-Cover Mapping Based on MODIS and UAV Data over the Tibetan Plateau. Remote Sensing 9(12). Art. #1332. doi: http://dx.doi.org/10.3390/rs9121332.

Lin, Ya, Hao Xu, and Yuqi Bai. 2017. Semantically Enhanced Catalogue Search Model for Remotely Sensed Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 10(4): 1256-1264. doi: http://dx.doi.org/10.1109/JSTARS.2016.2590835.

Liu, J. P., and W. C. Zhang. 2017. Long term spatio-temporal analyses of snow cover in Central Asia using ERA-Interim and MODIS products. IOP Conf. Series: Earth and Environmental Science 57. Art. #UNSP 012033. doi: http://dx.doi.org/10.1088/1755-1315/57/1/012033.

Liu, Xiaojian 2017. Surface Energy and Mass Balance Model for Greenland Ice Sheet and Future Projections. : 120 p. Ph. D. University of Michigan.

Liu, Yang, et al. 2017. Estimating Snow Depth Using Multi-Source Data Fusion Based on the D-InSAR Method and 3DVAR Fusion Algorithm. Remote Sensing 9(11). Art. #1195. doi: http://dx.doi.org/10.3390/rs9111195.

Lu, Xiaomei, et al. 2017. Observations of Arctic snow and sea ice cover from CALIOP lidar measurements. Remote Sensing of Environment 194: 248-263. doi: http://dx.doi.org/10.1016/j.rse.2017.03.046.

Ma, Ning, et al. 2017. A Systematic Evaluation of Noah-MP in Simulating Land-Atmosphere Energy, Water, and Carbon Exchanges Over the Continental United States. Journal of Geophysical Research - Atmospheres 122(22): 12,245-12,268. doi: http://dx.doi.org/10.1002/2017JD027597.

Mäkynen, Marco and Juha Karvonen. 2017. MODIS Sea Ice Thickness and Open Water–Sea Ice Charts over the Barents and Kara Seas for Development and Validation. Remote Sensing 9(12). Art. #1324. doi: http://dx.doi.org/10.3390/rs9121324.

Meng, Chunlei. 2017. Quantifying the impacts of snow on surface energy balance through assimilating snow cover fraction and snow depth. Meteorology and Atmospheric Physics 129(5): 529-538. doi: http://dx.doi.org/10.1007/s00703-016-0486-5.

Mernild, Sebastian H., et al. 2017. The Andes Cordillera. Part I: snow distribution, properties, and trends (1979–2014). International Journal of Climatology 37(4): 1680–1698. doi: http://dx.doi.org/10.1002/joc.4804.

Mernild, Sebastian H., et al. 2017. The Andes Cordillera. Part II: Rio Olivares Basin snow conditions (1979–2014), central Chile. International Journal of Climatology 37(4): 1699–1715. doi: http://dx.doi.org/10.1002/joc.4828.

Mernild, Sebastian H., et al. 2017. The Andes Cordillera. Part IV: spatio-temporal freshwater run-off distribution to adjacent seas (1979–2014). International Journal of Climatology 37(7): 3175–3196. doi: http://dx.doi.org/10.1002/joc.4922.

Mishra, P., A. Bandyopadhyay, and A. Bhadra. 2017. Change in snow depletion pattern in a river basin of Arunachal Pradesh under projected climatic scenarios. Global NEST Journal 19(2): 199-210.

Möller, M., and R. Möller. 2017. Modeling glacier-surface albedo across Svalbard for the 1979–2015 period: The HiRSvaC500-α data set. Journal of Advances in Modeling Earth Systems 9(1): 404–422. doi: http://dx.doi.org/10.1002/2016MS000752.

Mozaffari, A., et al. 2017. A hierarchical selective ensemble randomized neural network hybridized with heuristic feature selection for estimation of sea-ice thickness. Applied Intelligence 46(1): 16-33. doi: http://dx.doi.org/10.1007/s10489-016-0815-x.

Mozaffari, A., et al. 2017. A modular ridge randomized neural network with differential evolutionary distributor applied to the estimation of sea ice thickness. Soft Computing 21(16): 4635–4659. doi: http://dx.doi.org/10.1007/s00500-016-2074-5.

Murfitt, Justin, and Laura C. Brown. 2017. Lake ice and temperature trends for Ontario and Manitoba: 2001 to 2014. Hydrological Processes 31(21): 3596–3609. doi: http://dx.doi.org/10.1002/hyp.11295.

Negi, H. S., et al. 2017. Observed spatio-temporal changes of winter snow albedo over the north-west Himalaya. International Journal of Climatology 37(5): 2304–2317. doi: http://dx.doi.org/10.1002/joc.4846.

Negi, H. S., et al. 2017. Winter Climate and Snow Cover Variability Over North-West Himalaya. Science and Geopolitics of The White World. Cham: Springer International, 127-142. doi: http://dx.doi.org/10.1007/978-3-319-57765-4_10.

Nikam, Bhaskar R., et al. 2017. Satellite- based mapping and monitoring of heavy snowfall in North Western Himalaya and its hydrologicconsequences. Current Science 113(12): 2328-2334.

O'Leary III, Donal S., Jherime L. Kellermann, and Chris Wayne. 2017. Snowmelt timing, phenology, and growing season length in conifer forests of Crater Lake National Park, USA. International Journal of Biometeorology: 1-13. doi: http://dx.doi.org/10.1007/s00484-017-1449-3.

Ostby, Torbjørn Ims, Jon Ove Hagen, and Regine Hock. 2017. Diagnosing the decline in climatic mass balance of glaciers in Svalbard over 1957-2014 . The Cryosphere 11(1): 191-215. doi: http://dx.doi.org/10.5194/tc-11-191-2017#sthash.X1C6r1p9.dpuf.

Pan, Xiaoduo, et al. 2017. Impact Analysis of Climate Change on Snow over a Complex Mountainous Region Using Weather Research and Forecast Model (WRF) Simulation and Moderate Resolution Imaging Spectroradiometer Data (MODIS)-Terra Fractional Snow Cover Products. Remote Sensing 9(8). Art. #774. doi: http://dx.doi.org/10.3390/rs9080774.

Pardo-Igúzquiza, Eulogio, Antonio-Juan Collados-Lara, and David Pulido-Velazquez. 2017. Estimation of the spatiotemporal dynamics of snow covered area by using cellular automata models. Journal of Hydrology 550: 230–238. doi: http://dx.doi.org/10.1016/j.jhydrol.2017.04.058.

Reichle, Rolf H., et al. 2017. Assessment of MERRA-2 Land Surface Hydrology Estimates . Journal of Climate 30(8): 2937–2960. doi: http://dx.doi.org/10.1175/JCLI-D-16-0720.1.

Riggs, George A., Dorothy K. Hall, and Miguel O. Román. 2017. Overview of NASA’s MODIS and Visible Infrared Imaging Radiometer Suite (VIIRS) snow-cover Earth System Data Records. Earth System Science Data 9: 765-777. doi: http://dx.doi.org/10.5194/essd-9-765-2017.

Ryan, J. C., et al. 2017. How robust are in situ observations for validating satellite-derived albedo over the dark zone of the Greenland Ice Sheet?. Geophysical Research Letters 44(12): 6218–6225. doi: http://dx.doi.org/10.1002/2017GL073661.

Ryan, Jonathan C., et al. 2017. Derivation of High Spatial Resolution Albedo from UAV Digital Imagery: Application over the Greenland Ice Sheet. Frontiers in Earth Science 5. Art. #40. doi: http://dx.doi.org/10.3389/feart.2017.00040.

Ryu, Dongok, Sug-Whan Kim, and Robert P. Breault. 2017. New earth system model for optical performance evaluation of space instruments. Optics Express 25(5): 4926-4944. doi: http://dx.doi.org/10.1364/OE.25.004926.

Saavedra, Fredy A., et al. 2017. A snow climatology of the Andes Mountains from MODIS snow cover data. International Journal of Climatology 37(3): 1526–1539. doi: http://dx.doi.org/10.1002/joc.4795.

Saleh, Mahdi, Sami Serbey, and Bouchra Fahs. 2017. Data mining approach for estimating cloud-covered areas in MODIS satellite images. IEEE Symposium Computers and Communications (ISCC), 3-6 July 2017. IEEE. doi: http://dx.doi.org/10.1109/ISCC.2017.8024682.

Shahoei, S. V., et al. 2017. Daily runoff simulation using remote sensing through SRM model and comparison to SWAT mode. Applied Ecology and Environmental Research 15(3): 1843-1862. doi: http://dx.doi.org/10.15666/aeer/ 1503_18431862.

Shao, Donghang, et al. 2017. Distinguishing the Role of Wind in Snow Distribution by Utilizing Remote Sensing and Modeling Data: Case Study in the Northeastern Tibetan Plateau. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 10(10): 4445 - 4456. doi: http://dx.doi.org/10.1109/JSTARS.2017.2716388.

Smith, Taylor, Bodo Bookhagen, and Aljoscha Rheinwalt. 2017. Spatiotemporal patterns of High Mountain Asia’s snowmelt season identified with an automated snowmelt detection algorithm, 1987–2016. The Cryosphere 11(5): 2329–2343. doi: http://dx.doi.org/10.5194/tc-11-2329-2017.

Steele, Caitriana, et al. 2017. Evaluating MODIS snow products for modelling snowmelt runoff: Case study of the Rio Grande headwaters. International Journal of Applied Earth Observation and Geoinformation 63: 234-243. doi: http://dx.doi.org/10.1016/j.jag.2017.08.007.

Stehr, Alejandra, and Mauricio Aguayo. 2017. Snow cover dynamics in Andean watersheds of Chile (32.0–39.5° S) during the years 2000–2016. Hydrology and Earth System Sciences 21(10): 5111-5126. doi: http://dx.doi.org/10.5194/hess-21-5111-2017.

Stigter, Emmy E., et al. 2017. Assimilation of snow cover and snow depth into a snow model to estimate snow water equivalent and snowmelt runoff in a Himalayan catchment. The Cryosphere 11(4): 1647-1664. doi: http://dx.doi.org/10.5194/tc-11-1647-2017.

Sugg, Johnathan W., et al. 2017. Sub-regional snow cover distribution across the southern Appalachian Mountains. Physical Geography 38(2): 105-123. doi: http://dx.doi.org/10.1080/02723646.2016.1162020.

Swanson, David K. 2017. Trends in Greenness and Snow Cover in Alaska’s Arctic National Parks, 2000–2016. Remote Sensing 9(6): 514-533. doi: http://dx.doi.org/10.3390/rs9060514.

Tahir, Adnan Ahmad, et al. 2017. Simulation of snowmelt-runoff under climate change scenarios in a data-scarce mountain environment. International Journal of Digital Earth: 1-21. doi: http://dx.doi.org/10.1080/17538947.2017.1371254.

Tang, Zhiguang, et al. 2017. Spatiotemporal Variation of Snow Cover in Tianshan Mountains, Central Asia, Based on Cloud-Free MODIS Fractional Snow Cover Product, 2001–2015. Remote Sensing 9(10). Art. #1045. doi: http://dx.doi.org/10.3390/rs9101045.

Titkova T. B., and V. V. Vinogradova. 2017. Snow occurrence time on the Russia’s territory in the early 21st century (from satellite data) (in Russian). Led i Sneg 57(1): 25-33. doi: http://dx.doi.org/10.15356/2076-6734-2017-1-25-33.

Tomasi, Elena, et al. 2017. Optimization of Noah and Noah_MP WRF Land Surface Schemes in Snow-Melting Conditions over Complex Terrain . Monthly Weather Review 145(12): 4727–4745. doi: http://dx.doi.org/10.1175/MWR-D-16-0408.1.

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.

Valentin, Melissa McShea. 2017. Identifying Climnate-Related Hydrologic Regime Change in Mountainous, Cold-Region Watersheds. Ph. D. Colorado School of Mines: 1-169..

Walton, Daniel B., et al. 2017. Full Access Incorporating Snow Albedo Feedback into Downscaled Temperature and Snow Cover Projections for California’s Sierra Nevada . Journal of Climate 30(4): 1417–1438. doi: http://dx.doi.org/10.1175/JCLI-D-16-0168.1.

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