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Kang, D., Lee, K., & Kim, E. (2022). Improvement of springtime streamflow prediction using a snow hydrology model aided with USDA SNOTEL and in-situ snowpit observations. Hydrology Research, 53(12), 1510-1528. doi:https://doi.org/10.2166/nh.2022.180

Cao, Y., & Barros, A. P. (2023). Topographic controls on active microwave behavior of mountain snowpacks. Remote Sensing of Environment, 284, 113373-. https://doi.org/10.1016/j.rse.2022.113373

Skiles, S. M., Donahue, C. P., Hunsaker, A. G., & Jacobs, J. M. (2023). UAV hyperspectral imaging for multiscale assessment of Landsat 9 snow grain size and albedo. Frontiers in Remote Sensing, 3. https://doi.org/10.3389/frsen.2022.1038287

Abolafia‐Rosenzweig, R., He, C., McKenzie Skiles, S., Chen, F., & Gochis, D. (2022). Evaluation and Optimization of Snow Albedo Scheme in Noah‐MP Land Surface Model Using In Situ Spectral Observations in the Colorado Rockies. Journal of Advances in Modeling Earth Systems, 14(10). https://doi.org/10.1029/2022MS003141

Drivers of snowpack spatial variability in the East River, Colorado: Insights from remote sensing and physically-based modeling. Raleigh, Mark S, Collao-Barrios, Gabriela Celeste, Deems, Jeffrey S.

High-Resolution Forward Modeling of Sentinel-1 Observations at High Altitude in Complex Topography. Yueqian Cao, Ana P. Barros

Machine Learning Classification and Derived Snow Metrics from Very-high-resolution Multispectral Satellite Imagery in Complex Terrain. Michelle Hu and David Shean.

Tillman, F. D., Day, N. K., Miller, M. P., Miller, O. L., Rumsey, C. A., Wise, D. R., Longley, P. C., & McDonnell, M. C. (2022). A Review of Current Capabilities and Science Gaps in Water Supply Data, Modeling, and Trends for Water Availability Assessments in the Upper Colorado River Basin. Water (Basel), 14(23), 3813-. https://doi.org/10.3390/w14233813

Ragar, D.M. (2022). Simulating Dust Accelerated Snowmelt in the Upper Colorado River Basin: Testing Methods to Inform Snow Albedo with Observations in a Distributed Energy Balance Model. (Thesis). ProQuest Dissertations Publishing.

Li, C. (2022). How Radiation and Other Forcing Factors Influence Snowmelt Runoff in Western United States. ProQuest Dissertations Publishing.

Indirect Estimation of Boreal Vegetation Contributions to SAR Backscatter Measurements–Toward Operational Retrievals of Snow in Forest Areas. Yueqian Cao

Bayesian physical–statistical retrieval of snow water equivalent and snow depth from X- and Ku-band synthetic-aperture-radar demonstration using airborne SnowSAR in SnowEx17.
Siddharth Singh, Michael Durand, Edward Kim, and Ana P. Barros

Singh, D., & Kumar, A. (2022). Quality of Local Scale Surface Weather Analogs in Two Climatologically and Geographically Distinct Mountainous Regions. Meteorology and Atmospheric Physics, 134(2). https://doi.org/10.1007/s00703-022-00861-1

Cui, J., Niu, X., Chen, Y., Xing, Y., Yan, S., Zhao, J., Chen, L., Xu, S., Wu, D., Shi, T., Wang, X., & Pu, W. (2023). The Spatio-Temporal Variability in the Radiative Forcing of Light-Absorbing Particles in Snow of 2003–2018 over the Northern Hemisphere from MODIS. Remote Sensing (Basel, Switzerland), 15(3), 636-. https://doi.org/10.3390/rs15030636

Liu, C., Li, Z., Zhang, P., & Wu, Z. (2022). Seasonal snow cover classification based on SAR imagery and topographic data. Remote Sensing Letters, 13(3), 269–278. https://doi.org/10.1080/2150704X.2021.2018145

Fassnacht, S. R., Duncan, C. R., Pfohl, A. K. D., Webb, R. W., Derry, J. E., Sanford, W. E., . . . Doskocil, L. G. (2022). Drivers of dust-enhanced snowpack melt-out and streamflow timing. Hydrology, 9(3), 47. doi:https://doi.org/10.3390/hydrology9030047

Hu, Y., Che, T., Dai, L., Zhu, Y., Xiao, L., Deng, J., & Li, X. (2023). A long-term daily gridded snow depth dataset for the Northern Hemisphere from 1980 to 2019 based on machine learning. Big Earth Data, ahead-of-print(ahead-of-print), 1–28. https://doi.org/10.1080/20964471.2023.2177435

Gleason, K. E., McConnell, J. R., Arienzo, M. M., Sexstone, G. A., & Rahimi, S. (2022). Black carbon dominated dust in recent radiative forcing on Rocky Mountain snowpacks. Environmental Research Letters, 17(5), 54045-. https://doi.org/10.1088/1748-9326/ac681b

Safa, H. (2020). Water and Energy Budgets of Snow-Covered Montane Forests: Observations, Remote Sensing, and Modeling. ProQuest Dissertations Publishing.

Mapping Snow Covered Area, Grain Size, and Albedo from Lidar Intensity. Ackroyd, Chelsea, Skiles, McKenzie, AGU Fall Meeting 2021, held in New Orleans, LA, 13-17 December 2021, id. C11B-07.

Lundquist, J. D., Dickerson‐Lange, S., Gutmann, E., Jonas, T., Lumbrazo, C., & Reynolds, D. (2021). Snow interception modelling: Isolated observations have led to many land surface models lacking appropriate temperature sensitivities. Hydrological Processes, 35(7). https://doi.org/10.1002/hyp.14274

Reimanis, D. C. (2021). Variable Fresh Snow Albedo: How Snowpack and Sub-Nivean Properties Influence Fresh Snow Reflectance. ProQuest Dissertations Publishing. https://doi.org/10.1002/hyp.14274

Leonardini, G., Anctil, F., Vionnet, V., Abrahamowicz, M., Nadeau, D. F., & Fortin, V. (2021). Evaluation of the Snow Cover in the Soil, Vegetation, and Snow (SVS) Land Surface Model. Journal of Hydrometeorology, 22(6), 1663–1680. https://doi.org/10.1175/JHM-D-20-0249.1

Mei, L., Rozanov, V., Jäkel, E., Cheng, X., Vountas, M., & Burrows, J. P. (2021). The retrieval of snow properties from SLSTR Sentinel-3 – Part 2: Results and validation. The Cryosphere, 15(6), 2781–2802. https://doi.org/10.5194/tc-15-2781-2021

Courville ZR, Lieblappen RM, Thurston AK, Barbato RA, Fegyveresi JM, Farnsworth LB, Derry J, Jones RM, Doherty SJ and Rosten SA (2020) Microorganisms Associated With Dust on Alpine Snow. Front. Earth Sci. 8:122.doi: 10.3389/feart.2020.00122

Reynolds, R. L., Goldstein, H. L., Moskowitz, B. M., Kokaly, R. F., Munson, S. M., Solheid, P., et al. (2020). Dust deposited on snow cover in the San Juan Mountains, Colorado, 2011–2016: Compositional variability bearing on snow‐melt effects. Journal of Geophysical Research: Atmospheres, 125, e2019JD032210. https://doi.org/10.1029/2019JD032210

Follum ML, Niemann JD, Fassnacht SR. A comparison of snowmelt-derived streamflow from temperature-index and modified-temperature-index snow models. Hydrological Processes. 2019;1–16. https://doi.org/10.1002/hyp.13545

Johnson, M. T., Ramage, J., Troy, T. J., & Brodzik, M. J. (2020). Snowmelt Detection with Calibrated, Enhanced‐Resolution Brightness Temperatures (CETB) in Colorado Watersheds. Water Resources Research, 56, e2018WR024542. https://doi.org/10.1029/2018WR024542

Ménard, C. B., Essery, R., Barr, A., Bartlett, P., Derry, J., Dumont, M., Fierz, C., Kim, H., Kontu, A., Lejeune, Y., Marks, D., Niwano, M., Raleigh, M., Wang, L., and Wever, N.: Meteorological and evaluation datasets for snow modelling at 10 reference sites: description of in situ and bias-corrected reanalysis data, Earth Syst. Sci. Data, 11, 865–880, https://doi.org/10.5194/essd-11-865-2019, 2019.

Painter, T. H,S. M. Skiles, J. S. Deems, W. T. Brandt, and J. Dozier (2017), Variation in rising limb of Colorado River snowmelt runoff hydrograph controlled by dust radiative forcing in snow, Geophysical Research Letters, 44. https://doi.org/10.1002/2017GL075826.

Zhuojun Zhang, Harland L. Goldstein, Richard L. Reynolds, Yongfeng Hu, Xiaoming Wang, and Mengqiang Zhu (2018), Phosphorus Speciation and Solubility in Aeolian Dust Deposited in the Interior American West, Environ. Sci. Technol., 2018, 52 (5), pp 2658–2667.  doi: 10.1021/acs.est.7b04729

ChenglaiWu, Xiaohong Liu, Zhaohui Lin, Stefan R. Rahimi-Esfarjani, and Zheng Lu (2018), Impacts of absorbing aerosol deposition on snowpack and
hydrologic cycle in the Rocky Mountain region based on variable-resolution CESM (VR-CESM) simulations
, Atmospheric Chemisrty and Physics, 18, 511–533, 2018. https://doi.org/10.5194/acp-18-511-2018

Skiles, S.M. and Painter, T. (2017) ‘Daily evolution in dust and black carbon content, snow grain size, and snow albedo during snowmelt, Rocky Mountains, Colorado’, Journal of Glaciology, 63(237), pp. 118–132. doi: 10.1017/jog.2016.125.

Skiles, S.M., Painter, T. and Okin, G.S. (2017) ‘A method to retrieve the spectral complex refractive index and single scattering optical properties of dust deposited in mountain snow’, Journal of Glaciology, 63(237), pp. 133–147. doi: 10.1017/jog.2016.126.

Guy, Z.M., Deems, J. (2016), Unusual Dry Slab Avalanche Releases Involving Dust-on-Snow Layers in Colorado, Proceedings, International Snow Science Workshop, Breckenridge, Colorado.

Axson, J. L., H. Shen, A. L. Bondy, C. C. Landry, J. Welz, J. M. Creamean, A. P. Ault (2016), Transported Mineral Dust Deposition Case Study at a Hydrologically Sensitive Mountain Site: Size and Composition Shifts in Ambient Aerosol and Snowpack, Aerosol and Air Quality Res., 16: 555-567, doi:10.4209/aaqr.2015.05.0346

Lapo, K. E., L. M. Hinkelman, C. C. Landry, A. K. Massmann, and J. D. Lundquist (2015), A simple algorithm for identifying periods of snow accumulation on a radiometer, Water Resour. Res., 51, doi:10.1002/2015WR017590.

Skiles, S. MK., Painter, T. H., Belnap, J., Holland, L., Reynolds, R. L., Goldstein, H. L., and Lin, J. (2015) Regional variability in dust-on-snow processes and impacts in the Upper Colorado River Basin. Hydrol. Process., doi: 10.1002/hyp.10569.

Lapo, K. E., L. M. Hinkelman, M. S. Raleigh, and J. D. Lundquist (2015), Impact of errors in the downwelling irradiances on simulations of snow water equivalent, snow surface temperature, and the snow energy balance, Water Resour. Res., 51, doi:10.1002/2014WR016259.

Raleigh, M. S., J. D. Lundquist, and M. P. Clark, 2015: Exploring the impact of forcing error characteristics on physically based snow simulations within a global sensitivity analysis framework. Hydrol. Earth Syst. Sci., 19, 3153–3179, doi:10.5194/hess-19-3153-2015.

Chen, Y., C. M. Naud, I. Rangwala, C. C. Landry, and J. R. Miller, Comparison of the sensitivity of surface downward longwave radiation to changes in water vapor at two high elevation sites, Environ. Res. Lett. 9 (2014) doi:10.1088/1748-9326/9/11/114015

Landry, C. C., K. A. Buck, M. S. Raleigh, and M. P. Clark (2014), Mountain system monitoring at Senator Beck Basin, San Juan Mountains, Colorado: A new integrative data source to develop and evaluate models of snow and hydrologic processes, Water Resour. Res., 50, 1773–1788, doi:10.1002/2013WR013711.

Bryant, A. B., T. H. Painter, J. S. Deems, and S. M. Bender (2013), Impact of dust radiative forcing in snow on accuracy of operational runoff prediction in the Upper Colorado River BasinGeophys. Res. Lett.40, doi: 10.1002/grl.50773, 2013.

J. Brahney, A.P. Ballantyne, C. Sievers, J.C. Neff. Increasing Ca2+ deposition in the western US: the role of mineral aerosols.  Aeolian Research (2013),http://dx.doi.org/10.1016/j.aeolia.2013.04.003

Raleigh, M. S., C. C. Landry, M. Hayashi, W. L. Quinton, and J. D. Lundquist (2013), Approximating snow surface temperature from standard temperature and humidity data: New possibilities for snow model and remote sensing evaluation, Water Resour. Res., 49, 8053–8069, doi:10.1002/2013WR013958.

Deems, J. S., T.H. Painter, J.J. Barsugli, J. Belnap, and B. Udall (2013), Combined impacts of current and future dust deposition and regional warming on Colorado River Basin snow dynamics and hydrology, Hydrol. Earth Syst. Sci., 17, 4401-4413, doi:10.5194/hess-17-4401-2013.

Naud, C. M., Y. Chen, I. Rangwala, and J. R. Miller (2013), Sensitivity of downward longwave surface radiation to moisture and cloud changes in a high-elevation region, J. Geophys. Res. Atmos., 118,10,072–10,081, doi:10.1002/jgrd.50644.

Painter, T. H., A. C. Bryant, and S. M. Skiles (2012), Radiative forcing by light absorbing impurities in snow from MODIS surface reflectance dataGeophys. Res. Lett.39, L17502, doi:10.1029/2012GL052457.

Painter, T. H., S. M. Skiles, J. S. Deems, A. C. Bryant, and C. Landry (2012), Dust radiative forcing in snow of the Upper Colorado River Basin: Part I. A 6 year record of energy balance, radiation, and dust concentrationsWater Resour. Res., doi:10.1029/2012WR011985.

Skiles, S. M., T. H. Painter, J. S. Deems, A. C. Bryant, and C. Landry (2012), Dust radiative forcing in snow of the Upper Colorado River Basin: Part II. Interannual variability in radiative forcing and snowmelt ratesWater Resour. Res., doi:10.1029/2012WR011986.

Naud, C. M., J. R. Miller, and C. Landry (2012), Using satellites to investigate the sensitivity of longwave downward radiation to water vapor at high elevationsJ. Geophys. Res.117, D05101, doi:10.1029/2011JD016917.

Marshall, H.P., C. Pielmeier, S. Havens, and F. Techel (2010), Slope-scale Snowpack Stability Derived from Multiple Snowmicropen Measurements and High-resolution Terrestrial FMCW Radar Surveys. Proceedings of the 2010 International Snow Science Workshop, Squaw Valley, California.

Simonson, S.E., E. Greene, S. Fasnacht, T. Stohlgren and C. Landry (2010) Practical Methods for Using Vegetation Patterns to Estimate Avalanche Frequency Magnitude. Proceedings of the 2010 International Snow Science Workshop, Squaw Valley, California.

Painter, T. H., J. Deems, J. Belnap, A. Hamlet, C. C. Landry, and B. Udall (2010), Response of Colorado River runoff to dust radiative forcing in snowProceedings of the National Academy of Sciences, published ahead of print September 20, 2010,doi:10.1073/pnas.0913139107.

Lawrence, C. R., T. H. Painter, C. C. Landry, and J. C. Neff (2010), Contemporary geochemical composition and flux of aeolian dust to the San Juan Mountains, Colorado, United StatesJournal of Geophysical Research, 115, G03007, doi:10.1029/2009JG001077.

Steltzer, H., C. Landry, T. H. Painter, J. Anderson, and E. Ayres. 2009.Biological consequences of earlier snowmelt from desert dust deposition in alpine landscapes. Proceedings of the National Academy of Sciences. 106:  11629-11634, doi_10.1073_pnas.0900758106.

Neff, J.C., A.P. Ballantyne, G.L. Farmer, N.M. Mahowald, J.L. Conroy, C.C. Landry, J.T. Overpeck, T.H. Painter, C.R. Lawrence and R.L. Reynolds. 2008.  Increasing eolian dust deposition in the western United States linked to human activity, Nature Geoscience, Vol. 1, No. 3, pp. 189-195, March 2008, doi: 10.1038/ngeo136

Painter, T. H.,  A. P. Barrett, C. C. Landry, J. C. Neff, M. P. Cassidy, C. R. Lawrence, K. P. Thatcher, L. Farmer. (2007) Impact of disturbed desert soils on duration of mountain snow coverGeophysical Research Letters. V34, 12, L12502, 10.1029/2007GL030208.

Selected Presentations and Outreach:

  • December 2014: AGU Fall Meeting:
    • Mark S. Raleigh, JD Lundquist, and MP Clark (2014), Which forcing data errors matter most when modeling seasonal snowpacks?, Abstract C43E-0444 presented at the 2014 Fall Meeting AGU, San Francisco, CA 15-19 Dec.
    • Michael Follum, C Downer, and J Niemann (2014), Simulating the spatial distribution of snow pack and snow melt runoff with different snow melt algorithms in a physics based watershed model. Abstract H42B-03 presented at the 2014 Fall Meeting AGU, San Francisco, CA 15-19 Dec.
  • Sept 29, 2014: Chris Landry presented a poster and paper on “Desert Dust and Snow Stability” at the International Snow Science Workshop in Banff, Alberta.
  • July 17, 2014: Mark Raleigh presented, on behalf of CSAS, a talk titled “High elevation headwaters hydrology and snow monitoring at Senator Beck Basin, San Juan Mountains, Colorado, USA: a 7 year dataset” at the international Global Fair and Workshop on Mountain Observatories, Reno, NV.
  • December 2013: AGU Fall Meeting
    • Mark S. Raleigh, CC Landry, M Hayashi, WL Quinton, and JD Lundquist (2013), Approximating snow surface temperature from standard temperature and humidity data: New possibilities for snow model and remote sensing evaluation, Abstract C43E-08 presented at the 2013 Fall Meeting AGU, San Francisco, CA 9-13 Dec.
  • December 2012: AGU Fall Meeting
      • Imtiaz Rangwala, JR Miller, CM Naud, Y Chen (2012), Quantifying Climate Feedbacks in High Elevation Regions, Abstract A21D-0080 presented at the 2012 Fall Meeting AGU, San Francisco, CA 3-7 Dec.
      • Martyn P Clark, D Kavetski, AG Slater, JD Lundquist, AW Wood, DJ Gochis, ED Gutmann, R Rasmussen (2012), A computational framework to advance hydrometeorological prediction capabilities in cold regions, Abstract C33A-0630 presented at the 2012 Fall Meeting AGU, San Francisco, CA 3-7 Dec.
      • McKenzie Skiles, T Painter, JS Deems, C Landry, A Bryant (2012), Dust in Snow in the Colorado River Basin: Spatial Variability in Dust Concentrations, Radiative Forcing, and Snowmelt Rates, Abstract C53C-0864 presented at the 2012 Fall Meeting AGU, San Francisco, CA 3-7 Dec.
      • Thomas Painter, A C Bryant, JS Deems, M Skiles (2012), Hydrological and ecological implications of radiative forcing by dust in snow (Invited), Abstract B21I-01 presented at the 2012 Fall Meeting AGU, San Francisco, CA 3-7 Dec.
      • Jeffrey S Deems, T Painter, J Barsugli (2012), Multiscale hydrologic impacts of dust deposition and climate warming in the Upper Colorado River Basin (Invited), Abstract C41D-07 presented at the 2012 Fall Meeting AGU, San Francisco, CA 3-7 Dec.
      •  Jeffrey S Deems, DC Finnegan, A Fowler, T Painter (2012), Integration of ground-based and airborne lidar data for improved terrain model generation, Abstract G23A-0888 presented at the 2012 Fall Meeting AGU, San Francisco, CA 3-7 Dec.
      • Heidi Steltzer, J Korb, K Daly, E Sienicki, G Fullmer, E Cornell, S Bangert, M Remke (2012), When Snow Melts Early: The Unusual Alpine Plant Life Histories During the Summer of 2012, Abstract B21I-08 presented at the 2012 Fall Meeting AGU, San Francisco, CA 3-7 Dec.
      • Felix C Seidel, T Painter, AC Bryant, M Skiles, KE Rittger (2012), Retrievals of Dust and Black Carbon Radiative Forcing in Snow using Imaging Spectroscopy, Abstract C53C-0866 presented at the 2012 Fall Meeting AGU, San Francisco, CA 3-7 Dec.
      • Ann C Bryant, T Painter, M Skiles (2012), Radiative forcing by light absorbing impurities in snow in the Upper Colorado River Basin using MODIS surface reflectance data (Invited), Abstract C53C-0865 presented at the 2012 Fall Meeting AGU, San Francisco, CA 3-7 Dec.

Student Theses:

  • Kevin S. J. Brown, Snow Depth Measurement Via Automated Image Recognition. Watershed Science, Colorado State University (MA 2019)
  • McKenzie Skiles, Dust and Black Carbon Radiative Forcing Controls on Snowmelt in the Colorado River Basin, Department of Geography, University of California-Los Angeles, (PhD 2014).
  • Annie Bryant Burgess, Hydrologic implications of Dust on Snow in the Upper Colorado River Basin, Department of Geography, University of Utah, (PhD 2013).
  • Corey P. Lawrence, Aeolian deposition in the San Juan Mountains of southwestern Colorado, USA: The biogeochemical role of dust in soil development and weathering. Department of Geological Sciences, University of Colorado, Boulder (PhD, May 2009).
  • Julie A. Crawford, Multi-scale investigations of alpine species of the northern hemisphere. University of Pavia, Italy. (PhD, 2010).
  • McKenzie Skiles, Interannual Variability in Radiative Forcing by Desert Dust in Snowcover in the Colorado River Basin, Department of Geography, University of Utah, (MS, May 2010).
  • Sarah Castle, M.S. (GEOL), Nutrient cycling in geologically distinct alpine basins in the San Juan Mountains of Colorado.  University of Colorado – Boulder,  Geosciences Department. (MS, May 2008).
  • Kathleen McBride, A synoptic climatology of desert dust deposition to the snowpack in the San Juan Mountains, Colorado, U.S.A., Department of Geography, Northern Arizona University, Flagstaff (MA, December, 2007).
  • Shane Stradling, An investigation of how dust deposition affects snowpack and snow albedo, Swamp Angel Site, San Juan County, CO, Department of Geosciences, Fort Lewis College, Durango, Colorado (BS, May 2007).