2023
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Besso, H., Shean, D., Lundquist, J. D. (2023). Mountain snow depth retrievals from customized processing of ICESat-2 satellite laser altimetry. Remote Sensing of Environment, 300, 113843. https://doi.org/10.1016/j.rse.2023.113843
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Lundquist, J. D., Kim, R. S., Durand, M., & Prugh, L. R. (2023). Seasonal peak snow predictability derived from early-season snow in North America. Geophysical Research Letters, 50, e2023GL103802. https://doi.org/10.1029/2023GL103802
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Dickerson-Lange, S., E. Howe, K. Patrick, R. Gersonde, and J.D. Lundquist, 2023. Forest gap effects on snow storage in the transitional climate of the Eastern Cascade Range, Washington, USA, Frontiers in Water, 5, https://doi.org/10.3389/frwa.2023.1115264.
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Feldman, D. R., A. C. Aiken; W. R. Boos; R. W.H. Carroll; V. Chandrasekar; Scott Collis; J. M. Creamean; G. de Boer; J. Deems; Paul J. DeMott; Jiwen Fan; Alejandro N. Flores; David Gochis; Maxwell Grover; Thomas C. J. Hill; Anna Hodshire; Erik Hulm; Carson C. Hume; Robert Jackson; Francesc Junyent; Aaron Kennedy; Matthew Kumjian; E. J. T. Levin; J. D. Lundquist; Joseph O’Brien; Mark S. Raleigh; Jennifer Reithel; Alan Rhoades; Karl Rittger; William Rudisill; Zachary S. Sherman; Erica Siirila-Woodburn; S McKenzie Skiles; James N. Smith; Ryan C. Sullivan; Adam Theisen; Matthew Tuftedal; Adam C. Varble; Andrew Wiedlea; Stijn Wielandt; Kenneth Williams; Z. Xu, 2023. The Surface Atmosphere Integrated Field Laboratory (SAIL) Campaign, Bulletin of the American Meteorological Society, https://doi.org/10.1175/BAMS-D-22-0049.1
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Yang, K., A. John, D. Shean, J. D. Lundquist, Z. Sun, F. Yao, S. Todoran, and N. Cristea, 2023. High-resolution mapping of snow cover in montane meadows and forests using Planet imagery and machine learning, Frontiers in Water, 5, doi: 10.3389/frwa.2023.1128758
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Sullender, B.K., Cunningham, C.X., Lundquist, J.D. and Prugh, L.R. (2023), Defining the danger zone: critical snow properties for predator–prey interactions. Oikos e09925. https://doi.org/10.1111/oik.09925
2022
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Pestana, S. and J. D. Lundquist, 2022. Evaluating GOES-16 ABI surface temperature observation biases over the central Sierra Nevada of California, Remote Sensing of the Environment, 281, 113221. https://doi.org/10.1016/j.rse.2022.113221
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Cristea, N. C., Bennett, A., Nijssen, B., & Lundquist, J. D. (2022). When and where are multiple snow layers important for simulations of snow accumulation and melt? Water Resources Research, 58, e2020WR028993. https://doi.org/10.1029/2020WR028993
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Currier, W. R., Sun, N., Wigmosta, M., Cristea, N., & Lundquist, J. D. (2022). The impact of forest-controlled snow variability on late-season streamflow varies by climatic region and forest structure. Hydrological Processes, 36( 6), e14614. https://doi.org/10.1002/hyp.14614
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Lumbrazo, C., Bennett, A., Currier, W. R., Nijssen, B., & Lundquist, J. (2022). Evaluating multiple canopy-snow unloading parameterizations in SUMMA with time-lapse photography characterized by citizen scientists. Water Resources Research, 58, e2021WR030852. https://doi.org/10.1029/2021WR030852
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Pflug, J., S. Margulis, and J. D Lundquist, 2022. Inferring watershed-scale mean snowfall magnitude and distribution using multidecadal snow reanalysis patterns and snow pillow observations. Hydrological Processes, 36( 6), e14581. https://doi.org/10.1002/hyp.14581
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Sun, N., Yan, H., Wigmosta, M. S., Lundquist, J., Dickerson‐Lange, S., & Zhou, T. (2022). Forest Canopy Density Effects on Snowpack across the Climate Gradients of the Western United States Mountain Ranges. Water Resources Research, e2020WR029194. https://doi.org/10.1029/2020WR029194
2021
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Durand, M., Barros, A., Dozier, J., Adler, R., Cooley, S., Entekhabi, D., ... & Steele‐Dunne, S. (2021). Achieving breakthroughs in global hydrologic science by unlocking the power of multisensor, multidisciplinary Earth observations. AGU Advances, 2(4), e2021AV000455. https://doi.org/10.1029/2021AV000455
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Dickerson‐Lange, S. E., Vano, J. A., Gersonde, R., & Lundquist, J. D. (2021). Ranking Forest Effects on Snow Storage: A Decision Tool for Forest Management. Water Resources Research, 57(10), e2020WR027926. https://doi.org/10.1029/2020WR027926
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Pflug, J. M., Hughes, M., and Lundquist, J. D., 2021. Downscaling snow deposition using historic snow depth patterns: Diagnosing limitations from snowfall biases, winter snow losses, and interannual snow pattern repeatability. Water Resources Research, 57, e2021WR029999. https://doi.org/10.1029/2021WR029999
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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), e14274. https://doi.org/10.1002/hyp.14274
2020
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Reynolds, D., Pflug, J. M., & Lundquist, J. D., 2020. Evaluating wind fields for use in basin‐scale distributed snow models. Water Resources Research, 57, e2020WR028536. https://doi.org/10.1029/2020WR028536
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Pflug, J.M., Lundquist, J.D., 2020. Inferring distributed snow depth by leveraging snow pattern repeatability: Investigation using 47 lidar observations in the Tuolumne watershed, Sierra Nevada, California. Water Resources Research. https://doi.org/10.1029/2020WR027243
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Hughes, M., Lundquist, J. D., & Henn, B. (2020). Dynamical downscaling improves upon gridded precipitation products in the Sierra Nevada, California. Climate Dynamics, 55(1), 111-129. https://doi.org/10.1007/s00382-017-3631-z
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Breckheimer, I. K., Theobald, E. J., Cristea, N. C., Wilson, A. K., Lundquist, J. D., Rochefort, R. M., & HilleRisLambers, J. (2020). Crowd‐sourced data reveal social–ecological mismatches in phenology driven by climate. Frontiers in Ecology and the Environment, 18(2), 76-82. https://doi.org/10.1002/fee.2142
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Kim, R. S., Kumar, S., Vuyovich, C., Houser, P. R., Lundquist, J. D., Mudryk, L., ... & Wang, S. (2020). Snow Ensemble Uncertainty Project (SEUP): Quantification of snow water equivalent uncertainty across North America via ensemble land surface modeling. https://doi.org/10.1002/essoar.10504007.1
2019
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Pestana, S., Chickadel, C.C., Harpold, A., Kostadinov, T.S., Pai, H., Tyler, S., Webster, C., Lundquist, J.D. (2019). Bias Correction of Airborne Thermal Infrared Observations Over Forests Using Melting Snow. Water Resources Research, 55. https://doi.org/10.1029/2019WR025699
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Wrzesien, M. L., Pavelsky, T. M., Durand, M. T., Dozier, J., & Lundquist, J. D. (2019). Characterizing biases in mountain snow accumulation from global datasets. Water Resources Research, 55. https://doi.org/10.1029/2019WR025350
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Mazzotti, G., Currier, W. R., Deems, J. S., Pflug, J. M., Lundquist, J. D., & Jonas, T. (2019). Revisiting snow cover variability and canopy structure within forest stands: Insights from airborne lidar data. Water Resources Research, 55, 6198– 6216. https://doi.org/10.1029/2019WR024898
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J. D. Lundquist, Mimi Hughes, Ehtan Gutmann, and Sarah Kapnick (2019). Our skill in modeling mountain rain and snow is bypassing the skill of our observational networks. Bulletin of the American Meteorological Society.
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J. M. Pflug, G. E. Liston, B. Nijssen, and J. D. Lundquist (2019). Testing model representations of snowpack liquid water percolation across multiple climates. Water Resources Research, 55. doi: 10.1029/2018WR024632
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Currier, W.R., J. Pflug, G. Mazzotti, T. Jonas, J.S. Deems, K.J. Bormann, T.H. Painter, C.A. Hiemstra, A. Gelvin, Z. Uhlmann, L. Spaete, N.F. Glenn, and J.D. Lundquist, 2019. Comparing aerial lidar observations with terrestrial lidar and snow‐probe transects from NASA's 2017 SnowEx campaign. Water Resour. Res. doi: 10.1029/2018WR024533
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K. Lapo, B. Nijssen, and J.D. Lundquist (2019). Evaluation of turbulence stability schemes of land models for stable conditions. Journal of Geophysical Research: Atmospheres, https://doi.org/10.1029/2018JD028970.
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R.B. Neumann, C.J. Moorberg, J.D. Lundquist, J.C. Turner, M.P Waldrop, J.W. McFarland, E.S. Euskirchen, C.W. Edgar, and M.R. Turetsky (2019). Warming effects of spring rainfall increase methane emissions from thawing permafrost. Geophysical Research Letters, https://doi.org/10.1029/2018GL081274.
2018
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Currier, W. R. and J. D. Lundquist, 2018. Snow depth variability at the forest edge in multiple climates in the western United States. Water Resour. Res., doi:10.1029/ 2018WR022553.
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Henn, B., M. P. Clark, D. Kavetski, A. J. Newman, M. Hughes, B. McGurk, and J. D. Lundquist (2018), Spatiotemporal patterns of precipitation inferred from streamflow observations across the Sierra Nevada mountain range. J. of Hydrology doi: 10.1016/j.jhydrol.2016.08.009.
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Sun N, Wigmosta M, Zhou T, Lundquist J, Dickerson‐Lange S, Cristea N. Evaluating the functionality and streamflow impacts of explicitly modeling forest‐snow interactions and canopy gaps in a distributed hydrologic model. Hydrological Processes. 2018. https://doi.org/10.1002/hyp.13150
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Lundquist, J. D., C. Chickadel, N. Cristea, W. R. Currier, B. Henn, E. Keenan, and J. Dozier, 2018, Separating snow and forest temperatures with thermal infrared remote sensing, Remote Sensing of the Environment, 209, 7640779. https://doi.org/10.1016/j.rse.2018.03.001
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Henn, B. , A. J. Newman, B. Livneh, C. Daly, and J. D. Lundquist, 2018. An assessment of differences in gridded precipitation datasets in complex terrain, in press at J. Hydrology, https://doi.org/10.1016/j.jhydrol.2017.03.008.
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Cao, Q., T. H. Painter, W. R. Currier, J. D. Lundquist, D. P. Lettenmaier, 2018. Estimation of precipitation of the OLYMPEX domain during winter 2015/16, J. Hydrometeorology,
143–160, https://doi.org/10.1175/JHM-D-17-0076.1
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Henn, B. , T. H. Painter, K. Borman, B. McGurk, A. L. Flint, L. Flint, V. White, and J. D. Lundquist, 2018. High-Elevation Evapotranspiration Estimates during Drought: Using Streamflow and NASA Airborne Snow Observatory SWE Observations to Close the Upper Tuolumne River Basin Water Balance, Water Resources Research, doi: 10.1002/ 2017WR020473.
2017
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Houze, R.A., L.A. McMurdie, W.A. Petersen, M.R. Schwaller, W. Baccus, J.D. Lundquist, C.F. Mass, B. Nijssen, S.A. Rutledge, D.R. Hudak, S. Tanelli, G.G. Mace, M.R. Poellot, D.P. Lettenmaier, J.P. Zagrodnik, A.K. Rowe, J.C. DeHart, L.E. Madaus, and H.C. Barnes, 2017: The Olympic Mountains Experiment (OLYMPEX). Bull. Amer. Meteor. Soc., 98, 2167–2188, https://doi.org/10.1175/BAMS-D-16-0182.1
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Currier, W.R., T. Thorson, and J.D. Lundquist, 2017: Independent Evaluation of Frozen Precipitation from WRF and PRISM in the Olympic Mountains, WA, USA. J. Hydrometeor., 0, https://doi.org/10.1175/JHM-D-17-0026.1
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Cristea, N. C., Breckheimer, I., Raleigh, M. S., HilleRisLambers, J. and Lundquist, J. D. (2017), An evaluation of terrain-based downscaling of fractional snow covered area datasets based on Lidar-derived snow data and orthoimagery. Water Resour. Res.. doi:10.1002/2017WR020799.
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Wilson, A., K. Bacher, I. Breckheimer1, J. D. Lundquist, R. Rochefort, E. Theobald1, L. Whiteaker, J. HilleRisLambers (2016), Monitoring Wildflower Phenology using Traditional Science, Citizen Science, and Crowd Sourcing Park Science, 33, 17-26.
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Hughes, M., J. D. Lundquist, and B. Henn, 2017. Dynamical downscaling overcomes deficiencies in gridded precipitation products in the Sierra Nevada, California, Climate Dynamics, doi:10.1007/s00382-017-3631-z.
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Gutmann, E., J. T. Van Stan, J. Friesen, D. P. Aubrey, and J. D. Lundquist, 2017. Observed compression of in situ tree stems during freezing, J. Ag. Forest Met., 243, 19-24, https://doi.org/10.1016/j.agrformet.2017.05.004.
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Dickerson-Lange, S. , R. F. Gersonde, J. A. Hubbart, T. E. Link, A. W. Nolin, G. H. Perry, T. R. Roth, N. E. Wayand, and J. D. Lundquist, 2017. Snow disappearance timing in warm winter climates is dominated by forest effects on snow accumulation, Hydrological Processes, doi: 10.1002/hyp.11144.
2016
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Henn, B., M. Clark, D. Kavetski, T. Painter, B. McGurk, and J. D. Lundquist (2016), Combining Snow, Streamflow and Precipitation Gauges Observations to Infer Basin-Mean Precipitation, Water Resources Research, 52, doi:10.1002/2015WR018564.
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Lapo, K. E., L. M. Hinkelman, E. Sumargo, M. Hughes, and J. D. Lundquist (2016), A critical evaluation of modeled solar irradiance over California for hydrologic and land-surface modeling , J. Geophys. Res. Atmos., 121, doi:10.1002/2016JD025527.
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Lundquist, J. D., et al. (2016), Yosemite Hydroclimate Network: Distributed stream and atmospheric data for the Tuolumne River watershed and surroundings, Water Resour. Res., 52, doi:10.1002/2016WR019261.
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Wayand, N. E., Clark, M. P., and Lundquist, J. D. (2016) Diagnosing Snow Accumulation Errors in a Rain-Snow Transitional Environment with Snow Board Observations. Hydrol. Process., doi: 10.1002/hyp.11002.
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Wayand, N., J. Stimberis, J. Zagrodnik,. C. F. Mass, and J. D. Lundquist (2016), Improving Simulations of Precipitation Phase and Snowpack at a Site Subject to Cold Air Intrusions: Snoqualmie Pass, WA. J. of Geophysical Research, Atmospheres, 121, doi: 10.1002/2016JD025387.
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Morelli, T. L., C. Daly, S. Z. Dobrowski, D. Dulen, J. L. Ebersole, S. T. Jackson, J. D. Lundquist, C. I. Millar, S. P. Maher, W. B. Monahan, K. Nydick, K. T. Redmond, S. Sawyer, S. Stock, and S. R. Beissinger (2016), Managing Climate Change Refugia for Climate Adaptation. PLOS ONE, 11(8): e0159909, doi: 10.1371/journal.pone.0159909
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Dickerson-Lange, S. E., Bradley Eitel, K., Dorsey, L., Link, T. E. and Lundquist, J. D. (2016), Challenges and successes in engaging citizen scientists to observe snow cover: from public engagement to an educational collaboration. J. of Science Communication, 15 (01), A01.
2015
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Raleigh, M. S., B. Livneh, K. Lapo, J. D. Lundquist (2015), How does availability of meteorological forcing data impact physically-based snowpack simulations in different climates?. J. of Hydrometeorology, Published online, doi: 10.1175/JHM-D-14-0235.1
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Wayand, N. E., A. Massmann, C. Butler, E. Keenan, J. Stimberis, and J. D. Lundquist (2015), A Meteorological and Snow observational data set from Snoqualmie Pass (921 m), Washington Cascades, U.S.. Water Resources Research, 51, 10092–10103, doi:10.1002/2015WR017773
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Dickerson-Lange, S. E., J. A. Lutz, R. Gersonde, K. A. Martin, J. E. Forsyth and J. D. Lundquist (2015), Observations of distributed snow depth and snow duration within diverse forest structures in a maritime mountain watershed. Water Resources Research, 51, 9353–9366, doi: 10.1002/2015WR017873
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Henn, B., M. P. Clark, D. Kavetski, and J. D. Lundquist (2015), Estimating mountain basin-mean precipitation from streamflow using Bayesian inference. Water Resources Research, 51, 8012–8033, doi: 10.1002/2014WR016736.
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Wayand, N., J. D. Lundquist, and M. P. Clark (2015), Modeling the influence of hypsometry, vegetation, and storm energy on snowmelt contributions to basins during rain-on-snow floods. Water Resources Research, 51, 8551-8569 doi: 10.1002/2014WR016576.
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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 Resources Research, 51, 7820-7828 doi: 10.1002/2015WR017590.
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Hinkelman, L., K. Lapo, N. Cristea, and J. Lundquist (2015), Using CERES SYN Surface Irradiance Data as Forcing for Snowmelt Simulation in Complex Terrain. J. Hydrometeorology, 16, 2133-2152 doi:http://dx.doi.org/10.1175/JHM-D-14-0179.1.
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Raleigh, M. S., Lundquist, J. D., and Clark, M. P. (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
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Lundquist, J. D., Hughes, M., Henn, B., Gutmann, E. D., Livneh, B., Dozier, J., and Neiman, P. (2015), High-Elevation Precipitation Patterns: Using Snow Measurements to Assess Daily Gridded Datasets across the Sierra Nevada, California. J. Hydrometeorology, 16, 1773–1792. doi: http://dx.doi.org/10.1175/JHM-D-15-0019.1
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Lundquist, J. D., Wayand, N. E., Massmann, A., Clark, M. P., Lott, F. and Cristea, N. C. (2015), Diagnosis of insidious data disasters. Water Resources Research, 51(4), 2498-2514. doi: 10.1002/2014WR016585
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Clark, M. P. et al. (2015), A unified approach for process-based hydrologic modeling: 2. Model implementation and case studies. Water Resources Research, 51(4), 2515-2542. doi: 10.1002/2015WR017200.
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Clark, M. P., et al. (2015). A unified approach for process-based hydrologic modeling: 1. Modeling concept. Water Resources Research, 51. doi: 10.1002/2015WR017198.
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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 Resources Research, 51(3), 1649-1670. doi: 10.1002/2014WR016259.
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Dickerson-Lange, S. E., J. A. Lutz, K. A. Martin, M. S. Raleigh, R. Gersonde, and J. D. Lundquist (2015). Evaluating observational methods to quantify snow duration under diverse forest canopies. Water Resources Research, 51(2), 1203–1224. doi: 10.1002/2014WR015744.
2014
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Curtis, J. A,. L. E. Flint, A. L. Flint, J. D. Lundquist, B. Hudgens, E.E. Boydston, and J.K. Young, 2014. Incorporating Cold-Air Pooling into Downscaled Climate Models Increases Potential Refugia for Snow-Dependent Species within the Sierra Nevada Ecoregion, CA. PLoS ONE 9(9): e106984. doi: 10.1371/journal.pone.0106984
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Friesen, J., J. D. Lundquist, J. Van Stan II, 2014. Evolution of forest precipitation water storage monitoring methods. Hydrological Processes, doi: 10.1002/hyp.10376.
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Moore, C. E, S. P. Loheide, C. S. Lowry, and J. D. Lundquist, 2014. Instream restoration to improve the ecohydrologic function of a subalpine meadow: pre-implementation modeling with HEC_RAS. Journal of the American Water Resources Association (JAWRA), 1-17. doi: 10.1111/jawr.12155.
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Ralph, F. M., M. Dettinger, A. White, D. Reynolds, D. Cayan, T. Schneider, R. Cifelli, K. Redmond, M. Anderson, F. Gherke, J. Jones, K. Mahoney, L. Johnson, S. Gutman, V. Chandrasekar, J. D. Lundquist, N.P. Molotch, L. Brekke, R. Pulwarty, J. Horel, L. Schick, A. Edman, P. Mote, J. Abatzoglou, R. Pierce, G. Wick, 2014. A Vision of Future Observations for Western U.S. Extreme Precipitation and Flooding. J. Contemporary Water Resources Research & Education, 153, 16-32.
2013
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Lundquist, J. D., S. E. Dickerson-Lange, J. A. Lutz, and N. C. Cristea, 2013. Lower forest density enhances snow retention in regions with warmer winters: a global framework developed from plot-scale observations and modeling. Water Resources Research, 49, doi: 10.1002/wrcr.20504. * Featured as AGU Highlight Paper; Recipient of 2013 WRR Editor’s Choice Award.
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Raleigh, M. S., C. C. Landry, M. Hayashi, W. L. Quinton, and J. D. Lundquist, 2013. Standard air temperature and humidity approximate snow surface temperature: new possibilities for snow model calibration, Water Resources Research, 49, doi: 10.1002/2013WR013958.
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Feld, S., N. C. Cristea, J. D. Lundquist, 2013. Representing atmospheric moisture content along mountain slopes: Examination using distributed sensors in the Sierra Nevada, California, Water Resources Research, 49, 4424–4441, doi: 10.1002/wrcr.20318.
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Cristea, N. C., Lundquist, J. D., Loheide, S. P., Lowry, C. S. and Moore, C. E., 2013. Modeling how vegetation cover affects climate change impacts on streamflow timing and magnitude in the snowmelt-dominated upper Tuolumne Basin, Sierra Nevada, Hydrol. Process., doi: 10.1002/hyp.9909.
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Wayand, N. E., A. F. Hamlet, M. Hughes, S. I. Feld, and J. D. Lundquist, 2013. Intercomparison of Meteorological Forcing Data from Empirical and Mesoscale Model Sources in the North Fork American River Basin in Northern Sierra Nevada, California, J. Hydrometeorology, 14, 677–699. doi: http://dx.doi.org/10.1175/JHM-D-12-0102.1
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Raleigh, M. S., K. Rittger, C. E. Moore, B. Henn, J. A. Lutz, and J. D. Lundquist, 2013, Ground-based testing of MODIS fractional snow cover in subalpine meadows and forests of the Sierra Nevada, Remote Sensing of the Environment, 128, 44-57. doi: http://dx.doi.org/10.1016/j.rse.2012.09.016
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Henn, B., M. S. Raleigh, A. Fisher, and J. D. Lundquist, 2013, A comparison of methods of filling gaps in near-surface air temperature data, Journal of Hydrometeorology, 14, 929–945. doi: http://dx.doi.org/10.1175/JHM-D-12-027.1
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Van Stan, J. T., II, K. Martin, J. Friesen, M. T. Jarvis, J. D. Lundquist, and D. F. Levia 2013, Evaluation of an instrumental method to reduce error in canopy water storage estimates via mechanical displacement, Water Resour. Res., 49, doi:10.1029/2012WR012666.
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Martin, K. A., J. T. Van Stan II, S. E. Dickerson-Lange, J. A. Lutz, J. W. Berman, R. Gersonde, and J. D. Lundquist, 2013. Development and testing of a snow interceptometer to quantify canopy water storage and interception processes in the rain/snow transition zone of the North Cascades, Washington, USA, Water Resour. Res., 49, doi:10.1002/wrcr.20271.
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Ford, K. R., A. K. Ettinger, J. D. Lundquist, M.S. Raleigh, and J. Hille Ris Lambers, 2013. Spatial heterogeneity in ecologically important climate variables at coarse and fine scales in a high-snow mountain landscape, PLoS ONE, 8(6): e65008. doi:10.1371/journal.pone.0065008.
2012
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Raleigh, M. S. and J. D. Lundquist, 2012. Comparing and combining SWE estimates from the SNOW-17 model using PRISM and SWE reconstruction, Water Resour. Res., 48, W01506, doi:10.1029/2011WR010542.
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Lutz, J., K. Martin, J. D. Lundquist, 2012. Using fiber optic cable to measure surface temperature in heterogeneous forests,Northwest Science, 86(2), 108-121. doi: http://dx.doi.org/10.3955/046.086.0203.
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Slater, A. G., A. P. Barrett, M. P. Clark, J. D. Lundquist, and M.S. Raleigh, 2012, Uncertainty in seasonal snow reconstruction: Relative impacts of model forcing and image availability, Advances in Water Resources, http://dx.doi.org/10.1016/j.advwatres.2012.07.006
2011
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Lundquist, J. D., and S. P. Loheide, 2011. How evaporative water losses vary between wet and dry water years as a function of elevation in the Sierra Nevada, California and critical factors for modeling, Water Resources Research, 47, W00H09, doi:10.1029/2010WR010050.
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Lowry, C. S. P. Loheide, C. Moore, J. D. Lundquist, 2011. Groundwater controls on vegetation composition and patterning in mountain meadows, Water Resources Research, 47, W00J11, doi:10.1029/2010WR010086.
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Pepin, N., C. Daly, and J. D. Lundquist, 2011. The Influence of Surface/Free-Air Decoupling on Temperature Trend Patterns in the Western U.S., Journal of Geophysical Research - Atmospheres, 116 (D10), D10109, doi:10.1029/2010JD014769.
2010
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Lundquist, J. D., J. R. Minder, P. Neiman, and E. Sukovich, 2010. Relationships between Barrier Jet Heights, Orographic Precipitation Gradients, and Streamflow in the Northern Sierra Nevada,J. Hydrometeorology, 11, 1141-1156.
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Lowry, C., S. Loheide, J. Deems, and J. Lundquist, 2010. Linking snowmelt derived recharge and groundwater flow in a high elevation meadow system, Sierra Nevada Mountains, California. Hydrological Processes, 24, 2821-2833.
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Minder, J. R., P. W. Mote, and J. D. Lundquist, 2010. Surface temperature lapse rates over complex terrain: Lessons from the Cascade Mountains, J. Geophys. Res., 115, D14122, doi:10.1029/2009JD013493.
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Loheide, S. P. II, R. S. Deitchman, D. J. Cooper, E. C. Wolf, C. T. Hammersmark, and J. D. Lundquist, 2010. Reply to comment on "A framework for understanding the hydroecology of impacted wet meadows in the Sierra Nevada and Cascade Ranges, California, USA": paper published in/ Hydrogeology Journal/ (2009) 17:229-246, Hydrogeology J. DOI: 10.1007/s10040-010-0635-8
2009
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Lundquist, J. D. and J. Roche, 2009. Climate change and water supply in western national parks,Park Science, ISSN 1090-9966.
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Loheide, S. P. II, and J. D. Lundquist, 2009. Snowmelt-induced diel fluxes through the hyporheic zone,Water Resources Research, 45, W07404, doi:10.1029/2008WR007329.
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Lundquist, J. D., B. Huggett, H. Roop, and N. Low, 2009. Use of spatially-distributed stream stage recorder to augment rain gages by identifying locations of thunderstorm precipitation and distinguishing rain from snow. Water Resources Research, special issue on Measurement Methods, 45, W00D25, doi:10.1029/2008WR006995. Online supplement with installation details.
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Loheide, S. P., R. S. Deitchman, D. J. Cooper, E. C. Wolf, C. T. Hammersmark, and J. D. Lundquist, 2009. Hydroecology of impacted wet meadows in the Sierra Nevada and Cascade Ranges, CA. Hydrogeology Journal, 17, 229-246. Doi: 10.1007/s10040-008-0380-4
2008
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Lundquist, J. D. and B. Huggett, 2008. Evergreen trees as inexpensive radiation shields for temperature sensorsWater Resources Research, special issue on Measurement Methods, 44, W00D04, doi:10.1029/2008WR006979.
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Lundquist, J. D. and F. Lott, 2008 Using inexpensive temperature sensors to monitor the duration and heterogeneity of snow-covered areas in complex terrain. Water Resources Research, special issue on Measurement Methods, 44, W00D16, doi:10.1029/2008WR007035.
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Lundquist, J.D., N. Pepin, and C. Rochford, 2008. Automated algorithm for mapping regions of cold-air pooling in complex terrain, J. Geophys. Res., 113, D22107, doi:10.1029/2008JD009879.
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Pepin, N. and J.D. Lundquist, 2008. Temperature trends at high elevations: Patterns across the globe. Geophysical Reserach Letters, 35, L14701, doi: 10.1029/2008GL034026.
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Lundquist, J. D., P. J. Neiman, B. Martner, A. B. White, D. J. Gottas, and F. M. Ralph, 2008. Rain versus Snow in the Sierra Nevada, California: Comparing radar and surface observations of melting level. J. Hydrometeorology, 9, 194-211. **** Paper selected to receive California Department of Water Resources Climate Science Paper Award for most interesting, useful and relevant recent publication in 2008.
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Neiman, P. J., F. M. Ralph, G. A. Wick, J. D. Lundquist, and M. D. Dettinger, 2008. Meteorological characteristics and overland precipitation impacts of atmospheric rivers affecting the west coast of North America based on eight years of SSM/I satellite observations. J. Hydrometeorology, 9, 22-47. **** Paper selected to receive NOAA 2009 Outstanding Scientific Paper Award for contributions to forecasting.
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Lyon, S., F. Dominguez, D. Gochis, N. Brunsell, C. Castro, F. Chow, D. Fuka, Y. Hong, P. Kucera, S. Nesbitt, Y. Fan, N. Salzmann, J. Schmidli, P. Snyder, A. Teuling, T. Twine, G. Lee, S. Levis, J. Lundquist, G. Salvucci, A. Sealy, T. Walter, 2008. Coupling terrestrial and atmospheric water dynamics to improve prediction in a changing environment. Bull. Am. Met. Soc., 89, 1275-1279, doi: 10.1175/2008BAMS2547.1
2005
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Lundquist, J., M. Dettinger, and D. Cayan, 2005. Snow-fed streamflow timing at different basin scales: Case study of the Tuolumne River above Hetch Hetchy, Yosemite, California. Water Resour. Res., 41, W07005, doi:10.1029/2004WR003933.
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Lundquist, J. and M. Dettinger, 2005. How snowpack heterogeneity affects diurnal streamflow timing. Water Resour. Res., 41, W05007, doi:10.1029/2004WR0003649.