Abramovich, R. (2007). Uses of natural resources conservation service snow survey data and products. Paper presented at the 75th Western Snow Conference.
Addor, N., Rössler, O., Köplin, N., Huss, M., Weingartner, R., & Seibert, J. (2014). Robust changes and sources of uncertainty in the projected hydrological regimes of Swiss catchments. Water Resources Research, 50(10), 7541-7562.
Anghileri, D., Voisin, N., Castelletti, A., Pianosi, F., Nijssen, B., & Lettenmaier, D. P. (2016). Value of long‐term streamflow forecasts to reservoir operations for water supply in snow‐dominated river catchments. Water Resources Research, 52(6), 4209-4225.
Barnett, T. P., Adam, J. C., & Lettenmaier, D. P. (2005). Potential impacts of a warming climate on water availability in snow-dominated regions. Nature, 438(7066), 303-309. 10.1038/nature04141. http://dx.doi.org/10.1038/nature04141
Berghuijs, W. R., Woods, R. A., Hutton, C. J., & Sivapalan, M. (2016). Dominant flood generating mechanisms across the United States. Geophysical Research Letters, 43(9), 4382-4390.
Boisvenue, C., & Running, S. W. (2006). Impacts of climate change on natural forest productivity–evidence since the middle of the 20th century. Global Change Biology, 12(5), 862-882.
Brooks, P. D., Williams, M. W., & Schmidt, S. K. (1996). Microbial activity under alpine snowpacks, Niwot Ridge, Colorado. Biogeochemistry, 32(2), 93-113.
Church, J. E. (1933). Snow surveying: its principles and possibilities. Geographical Review, 23(4), 529-563.
Cline, D. W., Bales, R. C., & Dozier, J. (1998). Estimating the spatial distribution of snow in mountain basins using remote sensing and energy balance modeling. Water Resources Research, 34(5), 1275-1285.
Daly, C., Neilson, R. P., & Phillips, D. L. (1994). A statistical-topographic model for mapping climatological precipitation over mountainous terrain. Journal of Applied Meteorology, 33(2), 140-158.
Dressler, K., Fassnacht, S., & Bales, R. (2006). A comparison of snow telemetry and snow course measurements in the Colorado River basin. Journal of Hydrometeorology, 7(4), 705-712.
Edwards, A. C., Scalenghe, R., & Freppaz, M. (2007). Changes in the seasonal snow cover of alpine regions and its effect on soil processes: a review. Quaternary international, 162, 172-181.
Ford, C. M., Kendall, A. D., & Hyndman, D. W. (2020). Effects of Shifting Snowmelt Regimes on the Hydrology of Non-Alpine Temperate Landscapes. Journal of Hydrology, 125517.
Garen, D. C. (1992). Improved techniques in regression-based streamflow volume forecasting. Journal of Water Resources Planning and Management, 118(6), 654-670.
Gilbert, R. O. (1987). Statistical methods for environmental pollution monitoring: John Wiley & Sons.
Girotto, M., Musselman, K. N., & Essery, R. L. H. (2020). Data Assimilation Improves Estimates of Climate-Sensitive Seasonal Snow. Current Climate Change Reports. https://doi.org/10.1007/s40641-020-00159-7
Günther, D., Marke, T., Essery, R., & Strasser, U. (2019). Uncertainties in snowpack simulations—Assessing the impact of model structure, parameter choice, and forcing data error on point‐scale energy balance snow model performance. Water Resources Research, 55(4), 2779-2800.
Harpold, A. A., Molotch, N. P., Musselman, K. N., Bales, R. C., Kirchner, P. B., Litvak, M., & Brooks, P. D. (2015). Soil moisture response to snowmelt timing in mixed‐conifer subalpine forests. Hydrological Processes, 29(12), 2782-2798.
Harpold, A. A., Sutcliffe, K., Clayton, J., Goodbody, A., & Vazquez, S. (2017). Does including soil moisture observations improve operational streamflow forecasts in snow‐dominated watersheds? JAWRA Journal of the American Water Resources Association, 53(1), 179-196.
Henn, B., Musselman, K. N., Lestak, L., Ralph, F. M., & Molotch, N. P. (2020). Extreme runoff generation from atmospheric river driven snowmelt during the 2017 Oroville Dam spillways incident. Geophysical Research Letters, 47(14), e2020GL088189.
Immerzeel, W. W., Lutz, A., Andrade, M., Bahl, A., Biemans, H., Bolch, T., et al. (2020). Importance and vulnerability of the world’s water towers. Nature, 577(7790), 364-369.
Immerzeel, W. W., Van Beek, L. P., & Bierkens, M. F. (2010). Climate change will affect the Asian water towers. science, 328(5984), 1382-1385.
Kendall, M. G. (1948). Rank correlation methods.
Koch, J., Cornelissen, T., Fang, Z., Bogena, H., Diekkrüger, B., Kollet, S., & Stisen, S. (2016). Inter-comparison of three distributed hydrological models with respect to seasonal variability of soil moisture patterns at a small forested catchment. Journal of Hydrology, 533, 234-249.
Lehner, F., Wahl, E. R., Wood, A. W., Blatchford, D. B., & Llewellyn, D. (2017). Assessing recent declines in Upper Rio Grande runoff efficiency from a paleoclimate perspective. Geophysical Research Letters, 44(9), 4124-4133.
Lettenmaier, D. P., Wood, E. F., & Wallis, J. R. (1994). Hydro-climatological trends in the continental United States, 1948-88. Journal of Climate, 7(4), 586-607.
Li, D., Wrzesien, M. L., Durand, M., Adam, J., & Lettenmaier, D. P. (2017). How much runoff originates as snow in the western United States, and how will that change in the future? Geophysical Research Letters.
Lievens, H., Demuzere, M., Marshall, H.-P., Reichle, R. H., Brucker, L., Brangers, I., et al. (2019). Snow depth variability in the Northern Hemisphere mountains observed from space. Nature Communications, 10(1), 1-12.
Livneh, B., & Badger, A. M. (2020). Drought less predictable under declining future snowpack. Nature Climate Change, 1-7.
Luce, C. H., Lopez‐Burgos, V., & Holden, Z. (2014). Sensitivity of snowpack storage to precipitation and temperature using spatial and temporal analog models. Water Resources Research, 50(12), 9447-9462.
Mann, H. B. (1945). Nonparametric tests against trend. Econometrica: Journal of the Econometric Society, 245-259.
Martel, J.-L., Mailhot, A., Brissette, F., & Caya, D. (2018). Role of natural climate variability in the detection of anthropogenic climate change signal for mean and extreme precipitation at local and regional scales. Journal of Climate, 31(11), 4241-4263.
Mote, P. W. (2006). Climate-Driven Variability and Trends in Mountain Snowpack in Western North America*. Journal of Climate, 19(23), 6209-6220. http://dx.doi.org/10.1175/JCLI3971.1
Mote, P. W., Hamlet, A. F., Clark, M. P., & Lettenmaier, D. (2005). Declining mountain snowpack in western North America. Bulletin of the American Meteorological Society, 86, 39-49.
Mote, P. W., Li, S., Lettenmaier, D. P., Xiao, M., & Engel, R. (2018). Dramatic declines in snowpack in the western US. npj Climate and Atmospheric Science, 1(1), 2.
Musselman, K. N., Clark, M. P., Liu, C., Ikeda, K., & Rasmussen, R. (2017). Slower snowmelt in a warmer world. Nature Clim. Change, 7(3), 214-219. Article. http://dx.doi.org/10.1038/nclimate3225
Musselman, K. N., Lehner, F., Ikeda, K., Clark, M. P., Prein, A. F., Liu, C., et al. (2018). Projected increases and shifts in rain-on-snow flood risk over western North America. Nature Climate Change, 8(9), 808-812.
Musselman, K. N., Molotch, N. P., & Margulis, S. A. (2017). Snowmelt response to simulated warming across a large elevation gradient, southern Sierra Nevada, California. The Cryosphere, 11(6), 2847.
Nijssen, B., O'Donnell, G. M., Hamlet, A. F., & Lettenmaier, D. P. (2001). Hydrologic sensitivity of global rivers to climate change. Climatic Change, 50(1-2), 143-175.
Oki, T., & Kanae, S. (2006). Global hydrological cycles and world water resources. science, 313(5790), 1068-1072.
Pagano, T. (2010). Soils, snow and streamflow. Nature Geoscience, 3(9), 591-592.
Pagano, T., Garen, D., & Sorooshian, S. (2004). Evaluation of official western US seasonal water supply outlooks, 1922–2002. Journal of Hydrometeorology, 5(5), 896-909.
Palmer, P. L. (1988). The SCS snow survey water supply forecasting program: Current operations and future directions. Paper presented at the Proc. Western Snow Conf.
Pendergrass, A. G., Knutti, R., Lehner, F., Deser, C., & Sanderson, B. M. (2017). Precipitation variability increases in a warmer climate. Scientific reports, 7(1), 17966.
Pflug, J., Liston, G., Nijssen, B., & Lundquist, J. (2019). Testing model representations of snowpack liquid water percolation across multiple climates. Water Resources Research, 55(6), 4820-4838.
Pierce, D. W., Barnett, T. P., Hidalgo, H. G., Das, T., Bonfils, C., Santer, B. D., et al. (2008). Attribution of Declining Western U.S. Snowpack to Human Effects. Journal of Climate, 21(23), 6425-6444. http://dx.doi.org/10.1175/2008JCLI2405.1
Qin, Y., Abatzoglou, J. T., Siebert, S., Huning, L. S., AghaKouchak, A., Mankin, J. S., et al. (2020). Agricultural risks from changing snowmelt. Nature Climate Change, 10(5), 459-465.
Sen, P. K. (1968). Estimates of the regression coefficient based on Kendall's tau. Journal of the American statistical association, 63(324), 1379-1389.
Serreze, M. C., Clark, M. P., Armstrong, R. L., McGinnis, D. A., & Pulwarty, R. S. (1999). Characteristics of the western United States snowpack from snowpack telemetry (SNOTEL) data. Water Resources Research, 35(7), 2145-2160.
Shindell, D., Kuylenstierna, J. C., Vignati, E., van Dingenen, R., Amann, M., Klimont, Z., et al. (2012). Simultaneously mitigating near-term climate change and improving human health and food security. science, 335(6065), 183-189.
Shukla, S., & Lettenmaier, D. (2011). Seasonal hydrologic prediction in the United States: understanding the role of initial hydrologic conditions and seasonal climate forecast skill. Hydrology & Earth System Sciences, 15(11).
Thackeray, C. W., Derksen, C., Fletcher, C. G., & Hall, A. (2019). Snow and climate: Feedbacks, drivers, and indices of change. Current Climate Change Reports, 5(4), 322-333.
Trujillo, E., & Molotch, N. P. (2014). Snowpack regimes of the Western United States. Water Resources Research, 50(7), 5611-5623. http://dx.doi.org/10.1002/2013WR014753
Vano, J. A., Voisin, N., Cuo, L., Hamlet, A. F., Elsner, M. M., Palmer, R. N., et al. (2010). Climate change impacts on water management in the Puget Sound region, Washington State, USA. Climatic Change, 102(1-2), 261-286.
Westerling, A. L. (2016). Increasing western US forest wildfire activity: sensitivity to changes in the timing of spring. Phil. Trans. R. Soc. B, 371(1696), 20150178.
Yue, S., & Pilon, P. (2004). A comparison of the power of the t test, Mann-Kendall and bootstrap tests for trend detection/Une comparaison de la puissance des tests t de Student, de Mann-Kendall et du bootstrap pour la détection de tendance. Hydrological Sciences Journal, 49(1), 21-37.