A continental-scale hydrology and water quality model for Europe: Calibration and uncertainty of a high-resolution large-scale SWAT model

Abbaspour, K.C., 2011. Swat-Cup2: SWAT Calibration and Uncertainty Programs Manual Version 2, Department of Systems Analysis, Integrated Assessment and Modelling (SIAM), Eawag. Swiss Federal Institute of Aquatic Science and Technology, Duebendorf, Switzerland. 106 p.

Abbaspour, 1997, A sequential uncertainty domain inverse procedure for estimating subsurface flow and transport parameters, Water Resour. Res., 33, 1879, 10.1029/97WR01230

Abbaspour, 1999, Uncertainty in estimation of soil hydraulic parameters by inverse modeling: example lysimeter experiments, Soil Sci. Soc. Am. J., 63, 501, 10.2136/sssaj1999.03615995006300030012x

Abbaspour, 2004, Estimating uncertain flow and transport parameters using a sequential uncertainty fitting procedure, J. Vadouse Zone, 3, 1340, 10.2136/vzj2004.1340

Abbaspour, 2007, Modelling hydrology and water quality in the pre-alpine/alpine Thur watershed using SWAT, J. Hydrol., 333, 413, 10.1016/j.jhydrol.2006.09.014

Alcamo, 2003, Development and testing of the WaterGAP 2 global model of water use and availability, J. Sci. Hydrol., 48, 317, 10.1623/hysj.48.3.317.45290

AQUASTST, FAO, 2013. <http://www.fao.org/nr/water/aquastat/water_res/index.stm>.

Arnell, 1999, Climate change and global water resources, Glob. Environ. Change Hum. Policy Dimens., 9, S31, 10.1016/S0959-3780(99)00017-5

Arnold, 1998, Large area hydrologic modeling and assessment. Part I: Model development, J. Am. Water Resour. Assoc., 34, 73, 10.1111/j.1752-1688.1998.tb05961.x

Arnold, 1999, Continental scale simulation of the hydrologic balance, J. Am. Water Resour. Assoc., 35, 1037, 10.1111/j.1752-1688.1999.tb04192.x

Arnold, 2012, SWAT: model use, calibration, and validation, Trans. ASABE, 55, 1491, 10.13031/2013.42256

Baumgartner, 1975

CIESIN, Center for International Earth Science Information Network, 2005. Columbia University; United Nations Food and Agriculture Programme (FAO); and Centro Internacional de Agricultura Tropical (CIAT) (2005), Gridded Population of the World: Future Estimates (GPWFE). Palisades, NY: Socioeconomic Data and Applications Center (SEDAC), Columbia University. Available at <http://sedac.ciesin.columbia.edu/gpw>.

Döll, 2003, A global hydrological model for deriving water availability indicators: model tuning and validation, J. Hydrol., 270, 105, 10.1016/S0022-1694(02)00283-4

Falkenmark, 2006, The new blue and green water paradigm: Breaking new ground for water resources planning and management, J. Water Resour. Plan. Manage., 132, 129, 10.1061/(ASCE)0733-9496(2006)132:3(129)

Falkenmark, M, Widstrand, C., 1992. Population and water resources: a delicate balance. Population Bulletin, Population Reference Bureau.

Faramarzi, 2009, Modeling blue and green water availability in Iran, Hydrol. Proc., 23, 486, 10.1002/hyp.7160

Faramarzi, 2013, Modelling impacts of climate change on freshwater availability in Africa, J. Hydrol., 250, 1

Fassio, 2005, A decision support tool for simulating the effects of alternative policies affecting water resources: an application at the European scale, J. Hydrol., 304, 462, 10.1016/j.jhydrol.2004.07.048

Fekete, B.M., Vörösmarty, C.J., Grabs, W., 1999. Global composite runoff fields of observed river discharge and simulated water balances, Report No. 22, Global Runoff Data Centre, Koblenz, Germany.

Gassman, 2007, The soil and water assessment tool: historical development, applications, and future directions, Trans. ASABE, 50, 1211, 10.13031/2013.23637

Gerten, 2004, Terrestrial vegetation and water balance – hydrological evaluation of a dynamic global vegetation model, J. Hydrol., 286, 249, 10.1016/j.jhydrol.2003.09.029

Gorgan, 2012, Grid based calibration of SWAT hydrological models, Nat. Hazards Earth Syst. Sci., 12, 2411, 10.5194/nhess-12-2411-2012

Gosain, 2006, Climate change impact assessment on hydrology of Indian river basins, Curr. Sci., 90, 346

Hanasaki, 2013, A global water scarcity assessment under shared socio-economic pathways – Part 2: Water availability and scarcity, Hydrol. Earth Syst. Sci. Hydrol. Earth Syst. Sci., 17, 2393, 10.5194/hess-17-2393-2013

Hargreaves, 1985, Agricultural benefits for Senegal River Basin, J. Irrig. Drain. Eng., 111, 113, 10.1061/(ASCE)0733-9437(1985)111:2(113)

Henriksen, 2003, Methodology for construction, calibration and validation of a national hydrological model for Denmark, J. Hydrol., 280, 52, 10.1016/S0022-1694(03)00186-0

Kløve, 2014, Climate change impacts on groundwater and dependent ecosystems, J. Hydrol., 518, 250, 10.1016/j.jhydrol.2013.06.037

1978

Krause, 2005, Comparison of different efficiency criteria for hydrological model assessment, J. Adv. Geosci., 5, 89, 10.5194/adgeo-5-89-2005

Lvovitch, 1973, The global water balance, Trans. Am. Geophys. Union, 54, 28, 10.1029/EO054i001p00028

Mihon, 2013, Grid based hydrologic model calibration and execution, Adv. Intell. Syst. Comput., 187, 279, 10.1007/978-3-642-32548-9_20

Monfreda, 2008, Farming the planet: 2. Geographic distribution of crop areas, yields, physiological types, and net primary production in the year 2000, J. Global Biogeochemical Cycles, 22, GB1022

Neitsch, 2005, Soil and Water Assessment Tool

Nijssen, 2001, Predicting the discharge of global rivers, J. Clim., 14, 3307, 10.1175/1520-0442(2001)014<3307:PTDOGR>2.0.CO;2

Oki, 2001, Global assessment of current water resources using total runoff integrating pathways, Hydrol. Sci. J.: J. Sci. Hydrol., 46, 983, 10.1080/02626660109492890

Portmann, 2010, MIRCA2000 global monthly irrigated and rainfed crop areas around the year 2000: a new high resolution data set for agricultural and hydrological modeling, J. Global Biogeochem. Cycles, 24, GB1011

Revenga, 2000

Ritchie, 1972, Model for predicting evaporation from a row crop with incomplete cover, Water Resour. Res., 8, 1204, 10.1029/WR008i005p01204

Rouholahnejad, 2012, Parallelization framework for calibration of hydrological models, Environ. Modell. Software, 31, 28, 10.1016/j.envsoft.2011.12.001

Schuol, 2008, Modelling blue and green water availability in Africa at monthly intervals and subbasin level, Water Resour. Res., 44, W07406, 10.1029/2007WR006609

Shiklomanov, 2000, Appraisal and assessment of world water resources, Water Int., 25, 11, 10.1080/02508060008686794

Stisen, 2011, Evaluation of climate input biases and water balance issues using a coupled surface–subsurface model, Vadose Zone J., 10, 37, 10.2136/vzj2010.0001

UN Report, 2012, vol. 1

van Beek, 2011, Global monthly water stress: 1. Water balance and water availability, Water Resour. Res., 47, W07517, 10.1029/2010WR009791

Vörösmarty, 2000, Global water resources: vulnerability from climate change and population growth, Science, 289, 284, 10.1126/science.289.5477.284

Widén-Nilsson, 2007, Global water-balance modelling with WASMOD-M: parameter estimation and regionalisation, J. Hydrol., 340, 105, 10.1016/j.jhydrol.2007.04.002

Yang, 2003, A continental scale hydrological model using the distributed approach and its application to Asia, Hydrol. Process., 17, 2855, 10.1002/hyp.1438

Yang, 2003, A water resources threshold and its implications for food security, Environ. Sci. Technol., 37, 3048, 10.1021/es0263689

Yang, 2008, Comparing uncertainty analysis techniques for a SWAT application to Chaohe Basin in China, J. Hydrol., 358, 1, 10.1016/j.jhydrol.2008.05.012

Yates, 1997, Approaches to continental scale runoff for integrated assessment models, J. Hydrol., 201, 289, 10.1016/S0022-1694(97)00044-9

Zessner, 2005, Estimations of municipal point source pollution in the context of river basin management, J. Water Sci. Technol., 52, 175, 10.2166/wst.2005.0313