Mountain Hydrology Research

Peer-reviewed Publications

2020

• 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

2019

• 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
• 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
• 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
• Breckheimer, I., E. Theobald, N. Cristea, A. Wilson, J. Lundquist, R. Rochefort, and J. Hille Ris Lambers, 2019, Crowd-sourced data reveals social-ecological mismatch in phenology driven by climate, in press at Frontiers in Ecology and the Environment.
• 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.
• 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
• 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
• 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.
• 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

• 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.
• 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.
• 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
• 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
• 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.
• 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
• 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

• 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
• 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
• 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.
• 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.
• 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.
• 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.
• 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

• 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.
• 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.
• 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.
• 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.
• 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.
• 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
• 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

• 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
• 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
• 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
• 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.
• 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.
• 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.
• 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.
• 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
• 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
• 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
• 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.
• 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.
• 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.
• 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

• 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
• 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.
• 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.
• 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

• 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.
• 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.
• 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.
• 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.
• 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
• 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
• 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
• 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.
• 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.
• 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

• 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.
• 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.
• 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

• 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.
• 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.
• 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

• 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.
• 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.
• 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.
• 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

• Lundquist, J. D. and J. Roche, 2009. Climate change and water supply in western national parks,Park Science, ISSN 1090-9966.
• 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.
• 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.
• 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

• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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

2007

• Lundquist, J. D. and D. R. Cayan, 2007. Surface temperature patterns in complex terrain: daily variations and long-term change in the central Sierra Nevada, California. J. Geophys. Res., 112, D11124, doi:10.1029/2006JD007561.

2006

• Lundquist, J. and A. Flint, 2006. Onset of snowmelt and streamflow in 2004 in the Western United States: How shading may affect spring streamflow timing in a warmer world. J. Hydrometeorology, 7, 1199-1217.

2005

• 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.
• Lundquist, J. and M. Dettinger, 2005. How snowpack heterogeneity affects diurnal streamflow timing. Water Resour. Res., 41, W05007, doi:10.1029/2004WR0003649.

2004

• Lundquist, J., D. Cayan, and M. Dettinger, 2004. Spring onset in the Sierra Nevada: When is snowmelt independent of elevation? J. Hydromet., 5, 325-340.**** Paper selected to receive Wagner Memorial Award for Women in Atmospheric Sciences, 2003.

2003

• Lundquist, J.D., D.R. Cayan and M.D. Dettinger, 2003. Meteorology and hydrology in Yosemite National Park: A sensor network application. In Information Processing in Sensor Networks, F. Zhao and L. Guibas (eds.): IPSN 2003, LNCS 2634, 518-528.

2002

• Lundquist, J. and D. Cayan, 2002. Seasonal and spatial patterns in diurnal cycles in streamflow in the Western United States. J. Hydromet., 3, 591-603.**** Featured as Paper of Note in Bulletin of the American Meteorological Society, January 2003.