Relevant bibliographies by topics / Snow observations

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Snow observations'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Snow observations"

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Zhang, Wei, Jianqiao He, An’an Chen, Xuejiao Wu, and Yongping Shen. "Observations of Drifting Snow Using FlowCapt Sensors in the Southern Altai Mountains, Central Asia." Water 14, no. 6 (2022): 845. http://dx.doi.org/10.3390/w14060845.

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Drifting snow is a significant factor in snow redistribution and cascading snow incidents. However, field observations of drifting snow are relatively difficult due to limitations in observation technology, and drifting snow observation data are scarce. The FlowCapt sensor is a relatively stable sensor that has been widely used in recent years to obtain drifting snow observations. This study presents the results from two FlowCapt sensors that were employed to obtain field observations of drifting snow during the 2017–2018 snow season in the southern Altai Mountains, Central Asia, where the sno
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Arsenault, Kristi, and Paul Houser. "Generating Observation-Based Snow Depletion Curves for Use in Snow Cover Data Assimilation." Geosciences 8, no. 12 (2018): 484. http://dx.doi.org/10.3390/geosciences8120484.

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Snow depletion curves (SDC) are functions that are used to show the relationship between snow covered area and snow depth or water equivalent. Previous snow cover data assimilation (DA) studies have used theoretical SDC models as observation operators to map snow depth to snow cover fraction (SCF). In this study, a new approach is introduced that uses snow water equivalent (SWE) observations and satellite-based SCF retrievals to derive SDC relationships for use in an Ensemble Kalman filter (EnKF) to assimilate snow cover estimates. A histogram analysis is used to bin the SWE observations, whic
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Horton, Simon, and Pascal Haegeli. "Using snow depth observations to provide insight into the quality of snowpack simulations for regional-scale avalanche forecasting." Cryosphere 16, no. 8 (2022): 3393–411. http://dx.doi.org/10.5194/tc-16-3393-2022.

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Abstract. The combination of numerical weather prediction and snowpack models has potential to provide valuable information about snow avalanche conditions in remote areas. However, the output of snowpack models is sensitive to precipitation inputs, which can be difficult to verify in mountainous regions. To examine how existing observation networks can help interpret the accuracy of snowpack models, we compared snow depths predicted by a weather–snowpack model chain with data from automated weather stations and manual observations. Data from the 2020–2021 winter were compiled for 21 avalanche
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Lv, Zhibang, and John W. Pomeroy. "Assimilating snow observations to snow interception process simulations." Hydrological Processes 34, no. 10 (2020): 2229–46. http://dx.doi.org/10.1002/hyp.13720.

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Fayad, Abbas, Simon Gascoin, Ghaleb Faour, et al. "Snow observations in Mount Lebanon (2011–2016)." Earth System Science Data 9, no. 2 (2017): 573–87. http://dx.doi.org/10.5194/essd-9-573-2017.

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Abstract. We present a unique meteorological and snow observational dataset in Mount Lebanon, a mountainous region with a Mediterranean climate, where snowmelt is an essential water resource. The study region covers the recharge area of three karstic river basins (total area of 1092 km2 and an elevation up to 3088 m). The dataset consists of (1) continuous meteorological and snow height observations, (2) snowpack field measurements, and (3) medium-resolution satellite snow cover data. The continuous meteorological measurements at three automatic weather stations (MZA, 2296 m; LAQ, 1840 m; and
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Gafurov, A., D. Kriegel, S. Vorogushyn, and B. Merz. "Evaluation of remotely sensed snow cover product in Central Asia." Hydrology Research 44, no. 3 (2012): 506–22. http://dx.doi.org/10.2166/nh.2012.094.

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Central Asian countries depend highly on water resources from snow and glacier melt, which has to be studied thoroughly to estimate water availability. However, the observation network in Central Asia is poor to carry out such studies in detail. Observations from space using remote sensing techniques might fill this observation gap, which needs to be validated. Therefore, this study evaluates the Moderate Resolution Imaging Spectroradiometer (MODIS) daily snow cover product in Central Asia. For the evaluation, in situ snow depth data from 30 meteorological stations and higher resolution Landsa
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Riboust, Philippe, Guillaume Thirel, Nicolas Le Moine, and Pierre Ribstein. "Revisiting a Simple Degree-Day Model for Integrating Satellite Data: Implementation of Swe-Sca Hystereses." Journal of Hydrology and Hydromechanics 67, no. 1 (2019): 70–81. http://dx.doi.org/10.2478/johh-2018-0004.

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Abstract Conceptual degree-day snow models are often calibrated using runoff observations. This makes the snow models dependent on the rainfall-runoff model they are coupled with. Numerous studies have shown that using Snow Cover Area (SCA) remote sensing observation from MODIS satellites helps to better constrain parameters. The objective of this study was to calibrate the CemaNeige degree-day snow model with SCA and runoff observations. In order to calibrate the snow model with SCA observations, the original CemaNeige SCA formulation was revisited to take into account the hysteresis that exi
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Fletcher, Steven J., Glen E. Liston, Christopher A. Hiemstra, and Steven D. Miller. "Assimilating MODIS and AMSR-E Snow Observations in a Snow Evolution Model." Journal of Hydrometeorology 13, no. 5 (2012): 1475–92. http://dx.doi.org/10.1175/jhm-d-11-082.1.

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Abstract In this paper four simple computationally inexpensive, direct insertion data assimilation schemes are presented, and evaluated, to assimilate Moderate Resolution Imaging Spectroradiometer (MODIS) snow cover, which is a binary observation, and Advanced Microwave Scanning Radiometer for Earth Observing System (EOS) (AMSR-E) snow water equivalent (SWE) observations, which are at a coarser resolution than MODIS, into a numerical snow evolution model. The four schemes are 1) assimilate MODIS snow cover on its own with an arbitrary 0.01 m added to the model cells if there is a difference in
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Zlydneva, L. A., and E. V. Pischalnikova. "THE INFLUENCE OF LANDSCAPE ELEMENTS ON THE DISTRIBUTION OF SNOW COVER ACCORDING TO FIELD MEASUREMENTS AND ANALYSIS (ON THE EXAMPLE OF PERM)." Bulletin of Udmurt University. Series Biology. Earth Sciences 31, no. 3 (2021): 301–10. http://dx.doi.org/10.35634/2412-9518-2021-31-3-301-310.

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The scientific interest in snow dynamics is growing steadily, especially in relation to climate variability. The ability to monitor snow cover is being improved, which makes it possible to take into account the characteristics of snow cover from hard-to-reach places in hydrodynamic models of the atmosphere. As a result, the quality of climate and weather forecasting improves. This paper presents an analysis of field observation data in small relief forms with observation data from a stationary network of ground-based observations and ERA5-Land reanalysis. It was found that the temporal variabi
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Uematsu, Takahiko. "Ablation Rates on the Ceiling of a Snow Tunnel Over a Stream." Annals of Glaciology 6 (1985): 316–17. http://dx.doi.org/10.3189/1985aog6-1-316-317.

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A snow tunnel is often formed between the water surface of a small stream and the base of a snow cover in snowy areas. Observations made in northern Japan revealed that the amount of snow ablated at the ceiling of the snow tunnel ranged widely from 1.3 - 50 kg/m2d. This amount was calculated using heat transfer method; assuming that the ceiling was ablated only by the flux of heat from stream water, the amounts observed and calculated were found consistent.
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Dissertations / Theses on the topic "Snow observations"

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Oveisgharan, Shadi. "Estimating snow accumulation from InSAR correlation observations /." May be available electronically:, 2007. http://proquest.umi.com/login?COPT=REJTPTU1MTUmSU5UPTAmVkVSPTI=&clientId=12498.

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Willatt, R. C. "Observations of radar penetration into snow on sea ice." Thesis, University College London (University of London), 2012. http://discovery.ucl.ac.uk/1370583/.

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Sea ice is an important indicator of climate change. The ability to measure sea ice thickness is essential for monitoring trends in the volume of Arctic and Antarctic sea ice. Several methods of determining sea ice thickness are presented and it is concluded that the most appropriate for studying sea ice thickness trends on long time- and length-scales is satellite radar altimetry. One key uncertainty associated with determining sea ice thickness using satellite radar altimetry is the penetration of the radar into the snow cover. We discuss the dielectric theory related to penetration into sno
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Arthern, Robert James. "The impact of climate variability on the determination of ice-sheet mass balance using satellite radar altimetry." Thesis, University College London (University of London), 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.266320.

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Pinto, Daniel. "Investigations of manual and satellite observations of snow in Järämä (North Sweden)." Thesis, Uppsala universitet, Luft-, vatten och landskapslära, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-199620.

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The snow cover plays an important role not only for the whole climate system but also for tourism and economy in the Lapland winter (e.g. dog sledding, snow mobile, etc). Snow constitutes a shelter for animals and plants during the winter due to thermal isolation, but, on the range of this investigation, it can make grazing difficult for reindeers, if the conditions are not favorable. Different approaches to the study have been made; the first and most important part of the investigation was a campaign in Järämä, in Swedish Lapland. During 3 days (between the 3rd and 5th of March 2009), a seri
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Staffansdotter, Anna. "Investigating Seasonal Snow in Northern Sweden – a Multi-Layer Snow Pack Model and Observations from Abisko Scientific Research Station Provide Clues." Thesis, Uppsala universitet, Institutionen för geovetenskaper, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-326019.

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Meteorological parameters determine the physical properties of snow precipitating from the atmosphere, but snow layers also continue to develop within the snow pack after the precipitation event. New characteristics form depending on temperature fluctuations, interaction with the soil, overburden compression, rain-on-snow events and more. As climate change is evidenced across the globe and particularly in the Arctic, understanding the relationship between snow and climate is important. In this project, a set of observed data of snow layer characteristics, collected every two weeks each winter
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Kim, Rhae Sung. "Estimating snow depth of alpine snowpack via airborne multifrequency passive microwave radiance observations." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1503071052341111.

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Trouvilliez, Alexandre. "Observations et modélisation de la neige soufflée en Antarctique." Phd thesis, Université de Grenoble, 2013. http://tel.archives-ouvertes.fr/tel-01072241.

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L'augmentation de l'accumulation de neige simulée en Antarctique de l'Est pour le siècle à venir est une contribution négative à la hausse du niveau moyen des mers. Les modèles climatiques simulant cette augmentation ne possèdent pas de paramétrisation du transport éolien de neige or ce dernier joue un rôle primordial sur l'accumulation d'après les observations. Les modèles climatiques régionaux possédant une paramétrisation du transport éolien permettent d'estimer l'incertitude des modèles climatiques sur la hausse du niveau moyen des mers en ne représentant pas ce processus
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Geidne, Anna. "Validation of Remote SensingSnow Cover Analysis." Thesis, Uppsala universitet, Luft-, vatten och landskapslära, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-303862.

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The by SMHI (Swedish Meteorological and Hydrological Institute) developed snow cover product, that analyses snow cover from satellite images, needs to be validated. A reliable validation method should be developed and concentrated to verify the snow cover analyses from images emerged from the recently operative European MSG-satellite. The validation is done for Europe, and this first validation test to evaluate the validation method is only done for a couple of clear days in March 2004. The snow cover analyses from the MSG images, computed by the snow cover product, are compared to synoptic sn
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Cans, Elias, and Lovisa Bengtsson. "Snömätningsanalys för utveckling av vårflodsprognosering i Vängelsjöns delavrinningsområde." Thesis, Uppsala universitet, Luft-, vatten och landskapslära, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-354412.

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För att ta fram vårflodsprognoser används idag en hydrologisk modell, HBVmodellen, som används operationellt både i Sverige och i andra länder för att ta fram tillrinningsprognoser. Ett av problemen med dessa prognoser är dock att de ofta har felaktigheter i beräkning av tillrinningsvolymer. I den här studien undersöks Vängelsjöns delavrinningsområde. Ett prognosområde där HBV-modellens tillrinningsprognos tidigare gett stora volymfel. Rapporten undersöker därför om det går att korrigera den operationella modellens snömängd genom snödjupsobservationer, för att ta fram mer tillförlitliga vårflo
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Amory, Charles. "Érosion éolienne et rugosité de la surface neigeuse en Terre Adélie : observations et approche numérique." Thesis, Université Grenoble Alpes (ComUE), 2016. http://www.theses.fr/2016GREAU007/document.

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Le bilan de masse en surface de l’Antarctique (noté BMS ; résultante de l’équilibre entres les termes d’accumulation et d’ablation) contribue directement aux variations du niveau moyen des mers. Dans le contexte du changement climatique, sa détermination par les modèles atmosphériques est nécessaire pour affiner son estimation présente et future.Les vents violents en périphérie de l’Antarctique de l’Est sont responsables d’un entraînement aérodynamique de la neige en surface qui influence de façon significative le BMS. Le transport de neige par le vent est également à l’origine du développemen
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Books on the topic "Snow observations"

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Chrzanowski, Jan. Pokrywa śnieżna w Warszawie i próba jej prognozowania. Instytut Meteorologii i Gospodarki Wodnej, 1989.

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Chrzanowski, Jan. Pokrywa śnieżna w Polsce, klasyfikacja jej grubości i regionalizacja. Instytut Meteorologii i Gospodarki Wodnej, 1988.

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Schutz, C. Global annual snow accumulation by months. Rand, 1988.

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United States. National Aeronautics and Space Administration., ed. Observations of the snow cover in the southern part of the Buryat Autonomous Soviet Socialist Republic. National Aeronautics and Space Administration, 1985.

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Association, American Avalanche, and National Avalanche Center (U.S.), eds. Snow, weather, and avalanches: Observational guidelines for avalanche programs in the United States. American Avalanche Association, 2004.

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Krimmel, Robert M. Water, ice, and meteorological measurements at South Cascade Glacier, Washington, 1986-1991 balance years. U.S. Dept. of the Interior, U.S. Geological Survey, 2000.

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Bidlake, W. R. Water, ice, and meteorological measurements at South Cascade Glacier, Washington, balance year 2002. U.S. Dept. of the Interior, U.S. Geological Survey, 2004.

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Krimmel, Robert M. Water, ice, and meteorological measurements at South Cascade Glacier, Washington, 2000-01 balance years. U.S. Dept. of the Interior, U.S. Geological Survey, 2002.

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Zentralbüro, Austria Hydrographisches, ed. Die Häufigkeiten der Niederschläge, Schneehöhen, Lufttemperaturen und Trockenperioden in Österreich im Zeitraum 1981-1990. Hydrographischer Dienst in Österreich, 1994.

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Service, Canada Meteorological, ed. Instructions for recording rain, snow, weather and miscellaneous phenomena: With a supplementary chapter on the temperature of the air. s.n.], 1993.

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Book chapters on the topic "Snow observations"

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Dewart, Gilbert. "Gravimeter Observations on Anvers Island and Vicinity." In Antarctic Snow and Ice Studies II. American Geophysical Union, 2013. http://dx.doi.org/10.1029/ar016p0179.

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Li, Fenfen, Lilong Liu, Liangke Huang, et al. "GNSS Snow Depth Monitoring Using SNR Observations." In Lecture Notes in Electrical Engineering. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7751-8_22.

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Brown, Ross, Philip Marsh, Stephen Déry, and Daqing Yang. "Snow Cover—Observations, Processes, Changes, and Impacts on Northern Hydrology." In Arctic Hydrology, Permafrost and Ecosystems. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-50930-9_3.

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Morán-Tejeda, Enrique, Juan Ignacio López-Moreno, and Alba Sanmiguel-Vallelado. "Changes in Climate, Snow and Water Resources in the Spanish Pyrenees: Observations and Projections in a Warming Climate." In High Mountain Conservation in a Changing World. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55982-7_13.

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Xu, Li. "MODIS Snow Monitoring Over the Tibetan Plateau." In Advances in Earth Observation of Global Change. Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-9085-0_9.

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Sen, S., G. Areedran, and C. K. Singh. "Snow Leopard Habitat Modeling Using Neuro-Fuzzy Technique and a Comparative Analysis Between Traditional Overlay and Neuro-Fuzzy Technique—A Case Study of Chamoli and Pithorgarh District of Uttarakhand." In Environment and Earth Observation. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46010-9_16.

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Zhao, Hongxu, and Richard Fernandes. "Variability of Northern Hemisphere Spring Snowmelt Dates Using the AVHRR Polar Pathfinder Snow Cover During 1982–2004." In Advances in Earth Observation of Global Change. Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-9085-0_8.

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Walsh, John E. "Observational and Modeling Studies of the Influence of Snow Anomalies on the Atmospheric Circulation." In Prediction of Interannual Climate Variations. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-76960-3_5.

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Delsemme, A. H. "The Sublimation Temperature of the Cometary Nucleus: Observational Evidence for H2O Snows." In Ices in the Solar System. Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-009-5418-2_24.

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Liu, Jinghui, Tongqiang Xu, Guangfu Du, and Liying Wu. "Design and Implementation of Intelligent Coupled Rearview Mirror Variable Position Structure." In Lecture Notes in Mechanical Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-7887-4_42.

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Abstract In view of the shortcomings of the traditional optical rearview mirror, such as the existence of blind zone, rain weather, snow weather and night vision observation are not effective and the wind resistance coefficient of automobile at high speed is large, which affects fuel economy and other problems. Because the reliability of electronic rearview mirrors is lower than that of traditional rearview mirrors. Therefore, a coupled variable position intelligent rearview mirror is designed. It has both the structure of traditional optical rearview mirror and the image processing ability of
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Conference papers on the topic "Snow observations"

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Gao, Xiaowen, Jinmei Pan, and Jiancheng Shi. "Retrieval of Snow Density Based on Space-Borne L-Band Passive Microwave Observations." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10640888.

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Pan, Jinmei, Chuan Xiong, Lingmei Jiang, Jianwei Yang, and Jiancheng Shi. "A Physically-Based Method To Estimate High-Resolution Snow Water Equivalent By Integrating Passive Microwave And Optical Remote Sensing Observations Within Nested Grids." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10642581.

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Zhang, Cheng, Lingmei Jiang, Jianwei Yang, Jinyu Huang, and Min Wu. "Investigation of the Optimal Fusion Days on Cloud-Free Snow Observations over the Tibetan Plateau from the Combination of Landsat-8/9, Sentinel-2, MODIS and VIIRS." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10641380.

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Koskinen, Jarkko, Jouni Pulliainen, Pirkko Pylkko, et al. "Operational snow monitoring using satellite observations." In 2007 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2007. http://dx.doi.org/10.1109/igarss.2007.4423720.

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Hallikainen, Martti, and Juha Lemmetyinen. "Microwave brightness temperature of snow: Observations and simulations." In IGARSS 2016 - 2016 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2016. http://dx.doi.org/10.1109/igarss.2016.7730844.

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Panzeri, Lorenzo, Michele Mondani, Glenda Taddia, Monica Papini, and Laura Longoni. "ANALYSIS OF SNOWMELT AS A TRIGGERING FACTOR FOR SHALLOW LANDSLIDE." In 22nd SGEM International Multidisciplinary Scientific GeoConference 2022. STEF92 Technology, 2022. http://dx.doi.org/10.5593/sgem2022/1.1/s02.009.

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Shallow landslides are induced by extreme hydrological events or by events of medium intensity but prolonged over time. Such slips involve generally limited portions of land; however, they are dangerous due to the absence of warning signals and the lack of knowledge regarding their possible evolution. The aim of this paper is to study the evolution of shallow landslides affected by snowmelt and rainfall and to compare the observations done in situ by means of a statistical analysis of meteorological variables with those made in the laboratory. Few authors have addressed the role of snow to slo
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Notaros, Branislav M., V. N. Bringi, Cameron Kleinkort, et al. "Snow precipitation measurement and analysis during MASCRAD Winter observations." In 2016 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting. IEEE, 2016. http://dx.doi.org/10.1109/aps.2016.7696730.

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Brucker, Ludovic, and S. Joseph Munchak. "Satellite Observations to Monitor Subarctic Rain-on-Snow Events." In IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2018. http://dx.doi.org/10.1109/igarss.2018.8518962.

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Zhang, Dongming, Zhangwei Wang, Zhicheng Wang, and Shuzhen Hu. "Comparison Test Method and Analysis between Laser Snow Depth Observation Instrument and Manual Observation." In 2019 International Conference on Meteorology Observations (ICMO). IEEE, 2019. http://dx.doi.org/10.1109/icmo49322.2019.9025932.

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Ibrahim, I. A., V. Chandrasekar, V. N. Bringi, et al. "Simultaneous multiparameter radar and 2D-video disdrometer observations of snow." In IGARSS '98. Sensing and Managing the Environment. 1998 IEEE International Geoscience and Remote Sensing. Symposium Proceedings. (Cat. No.98CH36174). IEEE, 1998. http://dx.doi.org/10.1109/igarss.1998.702931.

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Reports on the topic "Snow observations"

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Dickerson-Lange, Susan. Cedar River Watershed Forest Snow Observations. Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI), 2015. http://dx.doi.org/10.4211/his-data-cedarriverforestsnow.

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Lever, James, Susan Taylor, Arnold Song, Zoe Courville, Ross Lieblappen, and Jason Weale. The mechanics of snow friction as revealed by micro-scale interface observations. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42761.

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The mechanics of snow friction are central to competitive skiing, safe winter driving and efficient polar sleds. For nearly 80 years, prevailing theory has postulated that self-lubrication accounts for low kinetic friction on snow: dry-contact sliding warms snow grains to the melting point, and further sliding produces meltwater layers that lubricate the interface. We sought to verify that self-lubrication occurs at the grain scale and to quantify the evolution of real contact area to aid modeling. We used high-resolution (15 μm) infrared thermography to observe the warming of stationary snow
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Lever, James, Susan Taylor, Garrett Hoch, and Charles Daghlian. Evidence that abrasion can govern snow kinetic friction. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42646.

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The long-accepted theory to explain why snow is slippery postulates self-lubrication: frictional heat from sliding melts and thereby lubricates the contacting snow grains. We recently published micro-scale interface observations that contradicted this explanation: contacting snow grains abraded and did not melt under a polyethylene slider, despite low friction values. Here we provide additional observational and theoretical evidence that abrasion can govern snow kinetic friction. We obtained coordinated infrared, visible-light and scanning-electron micrographs that confirm that the evolving sh
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Simic, A., R. Fernandes, R. Brown, P. Romanov, W M Park, and D. Hall. Validation of MODIS, VEGETATION, and GOES+SSM/I Snow Cover Products over Canada Based on Surface Snow Depth Observations. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2003. http://dx.doi.org/10.4095/220008.

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Simic, A., R. Fernandes, R. Brown, P. Romanov, and W M Park. Validation of VEGETATION, MODIS, and GOES+SSM/I Snow Cover Products over Canada Based on Surface Snow Depth Observations. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2003. http://dx.doi.org/10.4095/220033.

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Farrell, Sinead L. Optimizing Observations of Sea Ice Thickness and Snow Depth in the Arctic. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada572167.

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Richter-Menge, Jacqueline A. Optimizing Observations of Sea Ice Thickness and Snow Depth in the Arctic. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada572186.

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Richter-Menge, Jacqueline A., and Sinead L. Farrell. Optimizing Observations of Sea Ice Thickness and Snow Depth in the Arctic. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada601070.

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Richter-Menge, Jacqueline A., and Sinead L. Farrell. Optimizing Observations of Sea Ice Thickness and Snow Depth in the Arctic. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada617971.

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10

Kennedy, Aaron. Targeted Observations of Blowing Snow during SAIL (SAIL-TOBS) Field Campaign Report. Office of Scientific and Technical Information (OSTI), 2024. https://doi.org/10.2172/2482524.

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You might also be interested in the extended bibliographies on the topic 'Snow observations' for particular source types:
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