Bezdek, J. C.: Objective Function Clustering, in: Pattern Recognition with Fuzzy Objective Function Algorithms, edited by: Bezdek, J. C., Advanced Applications in Pattern Recognition, 43–93, Springer US, Boston, MA, ISBN 978-1-4757-0450-1,
https://doi.org/10.1007/978-1-4757-0450-1_3, 1981.
a
Chen, L., Fortier, D., McKenzie, J. M., and Sliger, M.: Impact of heat advection on the thermal regime of roads built on permafrost, Hydrol. Process., 34, 1647–1664,
https://doi.org/10.1002/hyp.13688, 2020.
a
Chen, L., Voss, C. I., Fortier, D., and McKenzie, J. M.: Surface energy balance of sub-Arctic roads with varying snow regimes and properties in permafrost regions, Permafrost Periglac., 32, 681–701,
https://doi.org/10.1002/ppp.2129, 2021.
a
Chiasson-Poirier, G., Franssen, J., Lafrenière, M. J., Fortier, D., and Lamoureux, S. F.: Seasonal evolution of active layer thaw depth and hillslope-stream connectivity in a permafrost watershed, Water Resour. Res., 56, e2019WR025828,
https://doi.org/10.1029/2019WR025828, 2020.
a
Choubin, B., Solaimani, K., Habibnejad Roshan, M., and Malekian, A.: Watershed classification by remote sensing indices: A fuzzy c-means clustering approach, J. Mt. Sci., 14, 2053–2063,
https://doi.org/10.1007/s11629-017-4357-4, 2017.
a
Costa-Cabral, M. C. and Burges, S. J.: Digital Elevation Model Networks (DEMON): A model of flow over hillslopes for computation of contributing and dispersal areas, Water Resour. Res., 30, 1681–1692,
https://doi.org/10.1029/93WR03512, 1994.
a
Devito, K., Creed, I., Gan, T., Mendoza, C., Petrone, R., Silins, U., and Smerdon, B.: A framework for broad-scale classification of hydrologic response units on the Boreal Plain: is topography the last thing to consider?, Hydrol. Process., 19, 1705–1714,
https://doi.org/10.1002/hyp.5881, 2005.
a,
b,
c,
d
Dunne, T., Zhang, W., and Aubry, B. F.: Effects of Rainfall, Vegetation, and Microtopography on Infiltration and Runoff, Water Resour. Res., 27, 2271–2285,
https://doi.org/10.1029/91WR01585, 1991.
a
Climate Data: Environment and Climate Change Canada: ClimateData [data set], (
https://climatedata.ca/, 2018.
FitzGibbon, J. E. and Dunne, T.: Land Surface and Lake Storage during Snowmelt Runoff in a Subarctic Drainage System, Arct. Antarct. Alp. Res., 13, 277–285,
https://doi.org/10.2307/1551034, 1981.
a,
b,
c
Fraser, R. H., Olthof, I., Kokelj, S. V., Lantz, T. C., Lacelle, D., Brooker, A., Wolfe, S., and Schwarz, S.: Detecting Landscape Changes in High Latitude Environments Using Landsat Trend Analysis: 1. Visualization, Remote Sens., 6, 11533–11557,
https://doi.org/10.3390/rs61111533, 2014.
a,
b,
c,
d,
e,
f,
g,
h
Gao, H., Hrachowitz, M., Schymanski, S. J., Fenicia, F., Sriwongsitanon, N., and Savenije, H. H. G.: Climate controls how ecosystems size the root zone storage capacity at catchment scale, Geophys. Res. Lett., 41, 7916–7923,
https://doi.org/10.1002/2014GL061668, 2014.
a
Gao, H., Sabo, J. L., Chen, X., Liu, Z., Yang, Z., Ren, Z., and Liu, M.: Landscape heterogeneity and hydrological processes: a review of landscape-based hydrological models, Landsc. Ecol., 33, 1461–1480,
https://doi.org/10.1007/s10980-018-0690-4, 2018.
a,
b,
c,
d,
e,
f
Gao, H., Han, C., Chen, R., Feng, Z., Wang, K., Fenicia, F., and Savenije, H.: Frozen soil hydrological modeling for a mountainous catchment northeast of the Qinghai–Tibet Plateau, Hydrol. Earth Syst. Sci., 26, 4187–4208,
https://doi.org/10.5194/hess-26-4187-2022, 2022.
a
Gerrits, A. M. J., Pfister, L., and Savenije, H. H. G.: Spatial and temporal variability of canopy and forest floor interception in a beech forest, Hydrol. Process., 24, 3011–3025,
https://doi.org/10.1002/hyp.7712, 2010.
a
Gérin-Lajoie, J., Herrmann, T. M., MacMillan, G. A., Hébert-Houle, ., Monfette, M., Rowell, J. A., Anaviapik Soucie, T., Snowball, H., Townley, E., Lévesque, E., Amyot, M., Franssen, J., and Dedieu, J.-P.: IMALIRIJIIT: a community-based environmental monitoring program in the George River watershed, Nunavik, Canada, Écoscience, 25, 381–399,
https://doi.org/10.1080/11956860.2018.1498226, 2018.
a
Hashemi, R., Brigode, P., Garambois, P.-A., and Javelle, P.: How can we benefit from regime information to make more effective use of long short-term memory (LSTM) runoff models?, Hydrol. Earth Syst. Sci., 26, 5793–5816,
https://doi.org/10.5194/hess-26-5793-2022, 2022.
a
Heath, R. C.: Hydrogeologic setting of regions, in: Hydrogeology, edited by: Back, W., Rosenshein, J. S., and Seaber, P. R., Vol. O-2, Geological Society of America, ISBN 978-0-8137-5467-3,
https://doi.org/10.1130/DNAG-GNA-O2.15, 1988.
a,
b
Hinzman, L. D., Kane, D. L., and Woo, M.-K.: Permafrost Hydrology, in: Encyclopedia of Hydrological Sciences, John Wiley & Sons, Ltd, ISBN 978-0-470-84894-4,
https://doi.org/10.1002/0470848944.hsa178, 2006.
a,
b
Kane, D. L., Hinzman, L. D., Benson, C. S., and Liston, G. E.: Snow hydrology of a headwater Arctic basin: 1. Physical measurements and process studies, Water Resour. Res., 27, 1099–1109,
https://doi.org/10.1029/91WR00262, 1991.
a
Kelliher, F. M., Leuning, R., and Schulze, E. D.: Evaporation and canopy characteristics of coniferous forests and grasslands, Oecologia, 95, 153–163,
https://doi.org/10.1007/BF00323485, 1993.
a
Kershaw, G. G. L., English, M. C., and Wolfe, B. B.: Seasonally distinct runoff–recharge partitioning in an alpine tundra catchment, Permafrost Periglac., 34, 94–107,
https://doi.org/10.1002/ppp.2174, 2023.
a
L'Hérault, E. and Allard, M.: Production de la 2ième approximation de la carte de pergélisol du Québec en fonction des paramètres géomorphologiques, écologiques, et des processus physiques liés au climat, Tech. Rep. 2, Ministère des forêts, de la faune
et des parcs du Québec, Centre d'études nordiques, Université Laval,
https://mffp.gouv.qc.ca/documents/forets/inventaire/Production_2e_appro_pergelisol.pdf (last access: 16 April 2020), 2018.
a,
b,
c
McDonnell, J. J., Sivapalan, M., Vaché, K., Dunn, S., Grant, G., Haggerty, R., Hinz, C., Hooper, R., Kirchner, J., Roderick, M. L., Selker, J., and Weiler, M.: Moving beyond heterogeneity and process complexity: A new vision for watershed hydrology, Water Resour. Res., 43, W07301,
https://doi.org/10.1029/2006WR005467, 2007.
a,
b
Natural Resources Canada: Canadian Digital Elevation Model, Open Government [data set],
https://open.canada.ca/data/en/dataset/7f245e4d-76c2-4caa-951a-45d1d2051333, 2015.
Natural Resources Canada: CanVec Series, Open Government [data set],
https://open.canada.ca/data/en/dataset/9d96e8c9-22fe-4ad2-b5e8-94a6991b744b, 2019.
Nicholls, E. M. and Carey, S. K.: Evapotranspiration and energy partitioning across a forest-shrub vegetation gradient in a subarctic, alpine catchment, J. Hydrol., 602, 126790,
https://doi.org/10.1016/j.jhydrol.2021.126790, 2021.
a
Rouse, W. R., Douglas, M. S. V., Hecky, R. E., Hershey, A. E., Kling, G. W., Lesack, L., Marsh, P., Mcdonald, M., Nicholson, B. J., Roulet, N. T., and Smol, J. P.: Effects of Climate Change on the Freshwaters of Arctic and Subarctic North America, Hydrol. Process., 11, 873–902,
https://doi.org/10.1002/(SICI)1099-1085(19970630)11:8<873::AID-HYP510>3.0.CO;2-6, 1997.
a
Rouse, W. R., Binyamin, J., Blanken, P. D., Bussières, N., Duguay, C. R., Oswald, C. J., Schertzer, W. M., and Spence, C.: The Influence of Lakes on the Regional Energy and Water Balance of the Central Mackenzie River Basin, in: Cold Region Atmospheric and Hydrologic Studies. The Mackenzie GEWEX Experience: Volume 1: Atmospheric Dynamics, edited by: Woo, M.-K., Springer, Berlin, Heidelberg, 309–325,
https://doi.org/10.1007/978-3-540-73936-4_18, 2008.
a,
b
Savenije, H. H. G.: The importance of interception and why we should delete the term evapotranspiration from our vocabulary, Hydrol. Process., 18, 1507–1511,
https://doi.org/10.1002/hyp.5563, 2004.
a
Saxton, K. E., Rawls, W. J., Romberger, J. S., and Papendick, R. I.: Estimating Generalized Soil-water Characteristics from Texture, Soil Sci. Soc. Am. J., 50, 1031–1036,
https://doi.org/10.2136/sssaj1986.03615995005000040039x, 1986.
a
Sicaud, E., Fortier, D., Dedieu, J.-P., and Franssen, J.: Pairing Remote Sensing and Clustering in Landscape Hydrology for Large-Scale Changes Identification. Applications to the Subarctic Watershed of the George River (Nunavik, Canada): Dataset and Code., Zenodo [data set and code],
https://doi.org/10.5281/zenodo.7348972, 2023.
a
Spence, C.: The Effect of Storage on Runoff from a Headwater Subarctic Shield Basin, Arctic, 53, 237–247,
https://www.jstor.org/stable/40511908 (last access: 14 November 2023), 2000.
a,
b
Tabacchi, E., Lambs, L., Guilloy, H., Planty-Tabacchi, A.-M., Muller, E., and Décamps, H.: Impacts of riparian vegetation on hydrological processes, Hydrol. Process., 14, 2959–2976,
https://doi.org/10.1002/1099-1085(200011/12)14:16/17<2959::AID-HYP129>3.0.CO;2-B, 2000.
a,
b
Theil, H.: A rank-invariant method of linear and polynomial regression analysis, Indag. Math. New Ser., 1, 467–482,
https://ir.cwi.nl/pub/18449 (last access: 1 November 2021), 1950. a
Thompson, S. E., Harman, C. J., Heine, P., and Katul, G. G.: Vegetation-infiltration relationships across climatic and soil type gradients, J. Geophy. Res.-Biogeo., 115, G02023,
https://doi.org/10.1029/2009JG001134, 2010.
a,
b
Tremblay, B., Lévesque, E., and Boudreau, S.: Recent expansion of erect shrubs in the Low Arctic: evidence from Eastern Nunavik, Environ. Res. Lett., 7, 035501,
https://doi.org/10.1088/1748-9326/7/3/035501, 2012.
a
Vincent, J.-S.: Quaternary Geology of the Southeastern Canadian Shield, in: Quaternary Geology of Canada and Greenland, edited by: Fulton, R., Vol. 2, Geological Survey of Canada, Ottawa,
https://doi.org/10.4095/127905, 1989.
a
Viville, D., Ladouche, B., and Bariac, T.: Isotope hydrological study of mean transit time in the granitic Strengbach catchment (Vosges massif, France): application of the FlowPC model with modified input function, Hydrol. Process., 20, 1737–1751,
https://doi.org/10.1002/hyp.5950, 2006.
a
Warner, J. D., Sexauer, J., Unnikrishnan, A., Castelão, G., Arruda Pontes, F., Uelwer, T., Batista, F., Van den Broeck, W., Song, W., Martínez Pérez, R. A., Power, J. F., Mishra, H., Orellana Trullols, G., and Hörteborn, A.: Scikit-Fuzzy version 0.4.2, Zenodo [code],
https://doi.org/10.5281/zenodo.802396, 2019.
a
White, D., Hinzman, L., Alessa, L., Cassano, J., Chambers, M., Falkner, K., Francis, J., Gutowski Jr., W. J., Holland, M., Holmes, R. M., Huntington, H., Kane, D., Kliskey, A., Lee, C., McClelland, J., Peterson, B., Rupp, T. S., Straneo, F., Steele, M., Woodgate, R., Yang, D., Yoshikawa, K., and Zhang, T.: The arctic freshwater system: Changes and impacts, J. Geophys. Res.-Biogeo., 112, G04S54,
https://doi.org/10.1029/2006JG000353, 2007.
a,
b
Wolfe, J. D., Shook, K. R., Spence, C., and Whitfield, C. J.: A watershed classification approach that looks beyond hydrology: application to a semi-arid, agricultural region in Canada, Hydrol. Earth Syst. Sci., 23, 3945–3967,
https://doi.org/10.5194/hess-23-3945-2019, 2019.
a
Yang, D., Shao, W., Yeh, P. J.-F., Yang, H., Kanae, S., and Oki, T.: Impact of vegetation coverage on regional water balance in the nonhumid regions of China, Water Resour. Res., 45, W00A14,
https://doi.org/10.1029/2008WR006948, 2009.
a
Young, K. L., Woo, M.-K., and Edlund, S. A.: Influence of Local Topography, Soils, and Vegetation on Microclimate and Hydrology at a High Arctic Site, Ellesmere Island, Canada, Arct. Antarct. Alp. Res., 29, 270–284,
https://doi.org/10.2307/1552141, 1997.
a
