Beighley, R. E., Melack, J. M., and Dunne, T.: Impacts of California's
climatic regimes and coastal land use change on streamflow characteristics,
JAWRA J. Am. Water Resour. Assoc., 39, 1419–1433,
https://doi.org/10.1111/j.1752-1688.2003.tb04428.x, 2003.
Beighley, E., Eggert, K. G., Dunne, T., He, Y., Gummadi, V., and Verdin, K.
L.: Simulating hydrologic and hydraulic processes throughout the Amazon
River Basin, Hydrol. Process., 23, 1221–1235, https://doi.org/10.1002/hyp.7252, 2009.
Bende-Michl, U., Verburg, K., and Cresswell, H. P.: High-frequency nutrient
monitoring to infer seasonal patterns in catchment source availability,
mobilisation and delivery, Environ. Monitor. Assess., 185,
9191–9219, https://doi.org/10.1007/s10661-013-3246-8, 2013.
Beven, K.: Rainfall-Runoff Modelling: The Primer, John Wiley, Chichester,
2000.
Beven, K. J. and Cloke, H. L.: Comment on “Hyperresolution global land
surface modeling: Meeting a grand challenge for monitoring Earth's
terrestrial water” by Eric F. Wood et al, Water Resour. Res., 48, W01801, https://doi.org/10.1029/2011WR010982,
2012.
Beven, K., Lamb, R., Quinn, P., Romanowicz, R., and Freer, J.: Topmodel,
Computer Models of Watershed Hydrology, edited by: Singh, V. P., Water
Resources Publications, Highlands Ranch, Colorado, 1995.
Cai, W., Borlace, S., Lengaigne, M., van Rensch, P., Collins, M., Vecchi,
G., Timmermann, A., Santoso, A., McPhaden, M. J., Wu, L., England, M. H.,
Wang, G., Guilyardi, E., and Jin, F.-F.: Increasing frequency of extreme El
Nino events due to greenhouse warming, Nature Clim. Change, 4, 111–116,
https://doi.org/10.1038/nclimate2100, 2014.
Chegwidden, O. S., Nijssen, B., Rupp, D. E., Arnold, J. R., Clark, M. P.,
Hamman, J. J., Kao, S.-C., Mao, Y., Mizukami, N., Mote, P. W., Pan, M.,
Pytlak, E., and Xiao, M.: How Do Modeling Decisions Affect the Spread Among
Hydrologic Climate Change Projections? Exploring a Large Ensemble of
Simulations Across a Diversity of Hydroclimates, Earth's Future, 7, 623–637,
https://doi.org/10.1029/2018ef001047, 2019.
Dai, A.: The influence of the inter-decadal Pacific oscillation on US
precipitation during 1923–2010, Clim. Dynam., 41, 633–646, 2013.
Dettinger, M.: Climate change, atmospheric rivers, and floods in California
– a multimodel analysis of storm frequency and magnitude changes, J. Am. Water Resour. Assoc., 47, 514–523,
https://doi.org/10.1111/j.1752-1688.2011.00546.x, 2011.
Duan, Q., Ajami, N. K., Gao, X., and Sorooshian, S.: Multi-model ensemble
hydrologic prediction using Bayesian model averaging, Adv. Water Resour., 30, 1371–1386, https://doi.org/10.1016/j.advwatres.2006.11.014, 2007.
Eisner, S., Flörke, M., Chamorro, A., Daggupati, P., Donnelly, C.,
Huang, J., Hundecha, Y., Koch, H., Kalugin, A., Krylenko, I., Mishra, V.,
Piniewski, M., Samaniego, L., Seidou, O., Wallner, M., and Krysanova, V.: An
ensemble analysis of climate change impacts on streamflow seasonality across
11 large river basins, Climatic Change, 141, 401–417,
https://doi.org/10.1007/s10584-016-1844-5, 2017.
Espinoza, V., Waliser, D. E., Guan, B., Lavers, D. A., and Ralph, F. M.: Global Analysis
of Climate Change Projection Effects on Atmospheric Rivers, Geophys. Res. Lett., 45, 4299–4308, https://doi.org/10.1029/2017GL076968, 2018.
Feng, D.: HydroUncertainty, available at:
https://github.com/dongmeifeng-2019/HydroUncertainty, last access: 10 April 2020.
Feng, D., Beighley, E., Hughes, R., and Kimbro, D.: Spatial and temporal
variations in eastern U.S. Hydrology: Responses to global climate
variability, JAWRA J. Am. Water Resour. Assoc., 52,
1089–1108, https://doi.org/10.1111/1752-1688.12445, 2016.
Feng, D., Beighley, E., Raoufi, R., Melack, J., Zhao, Y., Iacobellis, S.,
and Cayan, D.: Propagation of future climate conditions into hydrologic
response from coastal southern California watersheds, Climatic Change, 153,
199–218, https://doi.org/10.1007/s10584-019-02371-3, 2019.
Giuntoli, I., Villarini, G., Prudhomme, C., and Hannah, D. M.: Uncertainties
in projected runoff over the conterminous United States, Climatic Change,
150, 149–162, https://doi.org/10.1007/s10584-018-2280-5, 2018.
Hadka, D. and Reed, P.: Borg: An auto-adaptive many-objective evolutionary
computing framework, Evolutionary Computation, 21, 231–259, 2013.
Hagemann, S., Chen, C., Clark, D. B., Folwell, S., Gosling, S. N., Haddeland, I., Hanasaki, N., Heinke, J., Ludwig, F., Voss, F., and Wiltshire, A. J.:
Climate change impact on available water resources obtained using multiple
global climate and hydrology models, Earth Syst. Dynam., 4, 129–144, https://doi.org/10.5194/esd-4-129-2013, 2013.
Harmel, R. D., Cooper, R. J., Slade, R. M., Haney, R. L., and Arnold, J. G.:
Cumulative uncertainty in measured streamflow and water quality data for
small watersheds, Transactions of the ASABE, 49, 689–701, 2006.
Hattermann, F. F., Vetter, T., Breuer, L., Su, B., Daggupati, P., Donnelly,
C., Fekete, B., Flörke, F., Gosling, S. N., Hoffmann, P., Liersch, S.,
Masaki, Y., Motovilov, Y., Müller, C., Samaniego, L., Stacke, T., Wada,
Y., Yang, T., and Krysnaova, V.: Sources of uncertainty in hydrological
climate impact assessment: a cross-scale study, Environ. Res. Lett., 13, 015006, https://doi.org/10.1088/1748-9326/aa9938, 2018.
Homyak, P. M., Sickman, J. O., Miller, A. E., Melack, J. M., Meixner, T.,
and Schimel, J. P.: Assessing Nitrogen-Saturation in a Seasonally Dry
Chaparral Watershed: Limitations of Traditional Indicators of N-Saturation,
Ecosystems, 17, 1286–1305, https://doi.org/10.1007/s10021-014-9792-2, 2014.
Horton, R. E.: The Rôle of infiltration in the hydrologic cycle, Eos,
Transactions American Geophysical Union, 14, 446–460,
https://doi.org/10.1029/TR014i001p00446, 1933.
IPCC: Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, edited by: Pachauri, R. K. and Meyer, L. A., p. 151, IPCC, Geneva, Switzerland, 2014.
Kay, A. L., Davies, H. N., Bell, V. A., and Jones, R. G.: Comparison of
uncertainty sources for climate change impacts: flood frequency in England,
Climatic Change, 92, 41–63, https://doi.org/10.1007/s10584-008-9471-4, 2009.
Keller, E. A. and Capelli, M. H.: VENTURA RIVER FLOOD OF FEBRUARY 1992: A
LESSON IGNORED?1, JAWRA J. Am. Water Resour. Assoc.,
28, 813–832, https://doi.org/10.1111/j.1752-1688.1992.tb03184.x, 1992.
Liang, X., Wood, E. F., and Lettenmaier, D. P.: Surface soil moisture
parameterization of the VIC-2L model: Evaluation and modification, Global
Planet. Change, 13, 195–206, https://doi.org/10.1016/0921-8181(95)00046-1, 1996.
Livneh, B., Bohn, T. J., Pierce, D. W., Munoz-Arriola, F., Nijssen, B.,
Vose, R., Cayan, D. R., and Brekke, L.: A spatially comprehensive,
hydrometeorological data set for Mexico, the U.S., and Southern Canada
1950–2013, Scientific Data, 2, 150042, https://doi.org/10.1038/sdata.2015.42, 2015.
Moss, R. H., Edmonds, J. A., Hibbard, K. A., Manning, M. R., Rose, S. K., van Vuuren, D. P., Carter, T. R., Emori, S., Kainuma, M., Kram, T., Meehl, G. A., Mitchell, J. F. B., Nakicenovic, N., Riahi, K., Smith, S. J., Stouffer, R. J., Thomson, A. M., Weyant, J. P., and Wilbanks, T. J.: The next generation of scenarios for climate change research and assessment, Nature, 463, 747–756, https://doi.org/10.1038/nature08823, 2010.
Myers, M. R., Barnard, P. L., Beighley, E., Cayan, D. R., Dugan, J. E.,
Feng, D., Hubbard, D. M., Iacobellis, S. F., Melack, J. M., and Page, H. M.:
A multidisciplinary coastal vulnerability assessment for local government
focused on ecosystems, Santa Barbara area, California, Ocean Coast.
Manage., 182, 104921, https://doi.org/10.1016/j.ocecoaman.2019.104921, 2019.
Niu, G. Y., Yang, Z. L., Dickinson, R. E., and Gulden, L. E.: A simple
TOPMODEL-based runoff parameterization (SIMTOP) for use in global climate
models, J. Geophys. Res.-Atmos., 110, D21106,
https://doi.org/10.1029/2005JD006111, 2005.
NRCS (National Resources Conservation Service): Soil Survey Geographic (SSURGO) Data Base, Data User Information, U.S
. Department of Agriculture, National Resources Conservation Service, National Soil Survey Center, Miscellaneous Publication Number 1527, 1995.
Pierce, D. W., Cayan, D. R., Maurer, E. P., Abatzoglou, J. T., and
Hegewisch, K. C.: Improved Bias Correction Techniques for Hydrological
Simulations of Climate Change, J. Hydrometeorol., 16, 2421–2442,
https://doi.org/10.1175/jhm-d-14-0236.1, 2015.
Raoufi, R. and Beighley, E.: Estimating daily global evapotranspiration
using penman–monteith equation and remotely sensed land surface
temperature, Remote Sens., 9, 1138, https://doi.org/10.3390/rs9111138, 2017.
Schewe, J., Heinke, J., Gerten, D., Haddeland, I., Arnell, N. W., Clark, D.
B., Dankers, R., Eisner, S., Fekete, B. M., Colón-González, F. J.,
Gosling, S. N., Kim, H., Liu, X., Masaki, Y., Portmann, F. T., Satoh, Y.,
Stacke, T., Tang, Q., Wada, Y., Wisser, D., Albrecht, T., Frieler, K.,
Piontek, F., Warszawski, L., and Kabat, P.: Multimodel assessment of water
scarcity under climate change, P. Natl. Acad.
Sci., 111, 3245–3250, https://doi.org/10.1073/pnas.1222460110, 2014.
Scott, K. M. and Williams, R. P.: Erosion and sediment yields in the
Transverse Ranges, southern California, U.S. Government Printing Office, Washington D.C., 38 pp., 1978.
Su, B., Huang, J., Zeng, X., Gao, C., and Jiang, T.: Impacts of climate
change on streamflow in the upper Yangtze River basin, Climatic Change, 141,
533–546, https://doi.org/10.1007/s10584-016-1852-5, 2017.
Tao, H., Gemmer, M., Bai, Y., Su, B., and Mao, W.: Trends of streamflow in
the Tarim River Basin during the past 50 years: Human impact or climate
change?, J. Hydrol., 400, 1–9, 2011.
Troin, M., Arsenault, R., Martel, J.-L., and Brissette, F.: Uncertainty of
Hydrological Model Components in Climate Change Studies over Two Nordic
Quebec Catchments, J. Hydrometeorol., 19, 27–46,
https://doi.org/10.1175/jhm-d-17-0002.1, 2018.
Valentina, K., Tobias, V., Stephanie, E., Shaochun, H., Ilias, P., Michael,
S., Alexander, G., Rohini, K., Valentin, A., Berit, A., Alejandro, C., Ann
van, G., Dipangkar, K., Anastasia, L., Vimal, M., Stefan, P., Julia, R.,
Ousmane, S., Xiaoyan, W., Michel, W., Xiaofan, Z., and Fred, F. H.:
Intercomparison of regional-scale hydrological models and climate change
impacts projected for 12 large river basins worldwide – a synthesis,
Environ. Res. Lett., 12, 105002, https://doi.org/10.1088/1748-9326/aa8359, 2017.
Vetter, T., Huang, S., Aich, V., Yang, T., Wang, X., Krysanova, V., and Hattermann, F.: Multi-model climate impact assessment and intercomparison for three large-scale river basins on three continents, Earth Syst. Dynam., 6, 17–43, https://doi.org/10.5194/esd-6-17-2015, 2015.
Vidal, J.-P., Hingray, B., Magand, C., Sauquet, E., and Ducharne, A.: Hierarchy of climate and hydrological uncertainties in transient low-flow projections, Hydrol. Earth Syst. Sci., 20, 3651–3672, https://doi.org/10.5194/hess-20-3651-2016, 2016.
Wilby, R. L. and Harris, I.: A framework for assessing uncertainties in
climate change impacts: Low-flow scenarios for the River Thames, UK, Water Resour. Res., 42, W02419, https://doi.org/10.1029/2005WR004065, 2006.
Wood, E. F., Lettenmaier, D. P., and Zartarian, V. G.: A land-surface
hydrology parameterization with subgrid variability for general circulation
models, J. Geophys. Res.-Atmos., 97, 2717–2728,
https://doi.org/10.1029/91JD01786, 1992.
Xia, Y., Mitchell, K., Ek, M., Sheffield, J., Cosgrove, B., Wood, E., Luo, L., Alonge, C., Wei, H., Meng, J., Livneh, B., Lettenmaier, D., Koren, V., Duan, Q., Mo, K., Fan, Y., and Mocko, D.: NLDAS VIC Land Surface Model L4 Monthly 0.125
× 0.125
degree,version 002, Goddard Earth Sciences Data and Information Services
Center (GES DISC), NASA/GSFC/HSL, Greenbelt, Maryland, USA, 2012.
Yamazaki, D., Ikeshima, D., Tawatari, R., Yamaguchi, T., O'Loughlin, F.,
Neal, J. C., Sampson, C. C., Kanae, S., and Bates, P. D.: A high-accuracy
map of global terrain elevations, Geophys. Res. Lett., 44,
5844–5853, https://doi.org/10.1002/2017gl072874, 2017.