[Albergel, C., Calvet, J.C., Mahfouf, J.F., Rüdiger, C., Barbu, A.L., Lafont, S., Roujean, J.L., Walker, J.P., Crapeau, M., Wigneron, J.P., 2010. Monitoring of water and carbon fluxes using a land data assimilation system: A case study for southwestern France. Hydrology and Earth System Sciences, 14, 1109–1124. DOI: 10.5194/hess-14-1109-201010.5194/hess-14-1109-2010]Search in Google Scholar
[Alvarez-Garreton, C., Ryu, D., Western, A.W., Crow, W.T., Su, C.-H., Robertson, D.R., 2016. Dual assimilation of satellite soil moisture to improve streamflow prediction in data scarce catchments. Water Resour. Res., 52, 5357–5375. DOI: 10.1002/2015WR01842910.1002/2015WR018429]Search in Google Scholar
[Badou, D.F., Diekkruger, B., Montzka, C., 2018. Validation of satellite soil moisture in the absence of in situ soil moisture: the ecase of the Tropical Yankin Basin. South African Journal of Geomatics, 7, 3. http://dx.doi.org/10.4314/sajg.v7i3.310.4314/sajg.v7i3.3]Search in Google Scholar
[Beven, K., 2006. A manifesto for the equifinality thesis. Journal of Hydrology, 320, 18–30.10.1016/j.jhydrol.2005.07.007]Search in Google Scholar
[Brocca, L., Melone, F., Moramarco, T., Wagner, W., Naeimi, V., Bartalis, Z., Hasenauer, S., 2010. Improving runoff prediction through the assimilation of the ASCAT soil moisture product. Hydrology and Earth System Sciences, 14, 1881–1893. DOI:10.5194/hess-14-1881-201010.5194/hess-14-1881-2010]Search in Google Scholar
[Brocca, L., Hasenauer, S., Lacava, T., Melone, F., Moramarco, T., Wagner, W., Dorigo, W., Matgen, P., Martinez-Fernandez, J., Llorens, P., et al., 2011. Soil moisture estimation through ascat and amsr-e sensors: An intercomparison and validation study across europe. Remote Sens. Environ., 115, 3390–3408.10.1016/j.rse.2011.08.003]Search in Google Scholar
[Chiew, F., McMahon, T., 1994. Application of the daily rainfall–runoff model MODHYDROLOG to 28 Australian catchments. Journal of Hydrology, 153, 383–416.10.1016/0022-1694(94)90200-3]Search in Google Scholar
[Corradini, C., 2014. Soil moisture in the development of hydro-logical processes and its determination at different spatial scales. J. Hydrol., 516, 1–5.10.1016/j.jhydrol.2014.02.051]Search in Google Scholar
[Crow, W.T., Berg, A.A., Cosh, M.H., Loew, A., Mohanty, B.P., Panciera, R., de Rosnay, P., Ryu, D., Walker, J.P., 2012. Upscaling sparse ground-based soil moisture observations for the validation of coarse-resolution satellite soil moisture products. Rev. Geophys., 50, 2. https://doi.org/10.1029/2011RG00037210.1029/2011RG000372]Search in Google Scholar
[Dai, Y., Xin, Q.,Wei, N., Zhang, Y., Shangguan,W.,Zuan, H., Zhang, Z., Liu,S., Lu, X., 2019. A global high resolution data set of soil hydraulic and thermal properties for land surface modelling. Journal of Advances in Modelling Earth Systems, 11, 9, 2996–3023. https://doi.org/10.1029/2019MS00178410.1029/2019MS001784]Search in Google Scholar
[Danhelka, J., Kubat J., Šercl P., Čekal, R. (Eds.), 2014. Floods in the Czech Republic in June 2013. Czech Hydrometeoro-logical Institute, Prague, Czech Republic.]Search in Google Scholar
[Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D.P., Hirschi, M., Ikonen, J., De Jeu, R., Kidd, R., Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P., 2017. ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. Remote Sensing of Environment, 203, 185–215. https://doi.org/10.1016/j.rse.2017.07.00110.1016/j.rse.2017.07.001]Search in Google Scholar
[Đukić, V., Radić, Z., 2014. GIS based estimation of sediment discharge and areas of soil erosion and deposition for the torrential Lukovska River Catchment in Serbia. Water Resources Management, 28, 13, 4567–4581. https://link.springer.com/article/10.1007/s11269-014-0751-710.1007/s11269-014-0751-7]Search in Google Scholar
[Đukić, V., Radić, Z., 2016. Sensitivity analysis of a physically based distributed model. Water Resources Management, 3, 1669–1684. https://link.springer.com/article/10.1007/s11269-016-1243-810.1007/s11269-016-1243-8]Search in Google Scholar
[Ewen, J., Parkin, G., O’Connell, P.E., 2000. SHETRAN: Distributed river basin flow and transport modelling system. ASCE J. Hydrologic Eng., 5, 250–258. Available at: https://research.ncl.ac.uk/shetran/SHETRAN_ASCE_paper.pdf10.1061/(ASCE)1084-0699(2000)5:3(250)]Search in Google Scholar
[Gruber, A., Dorigo, W.A., Crow, W., Wagner, W., 2017. Triple collocation-based merging of satellite soil moisture retrievals. IEEE Transactions on Geoscience and Remote Sensing, 55, 12, 1–13. https://doi.org/10.1109/TGRS.2017.273407010.1109/TGRS.2017.2734070]Search in Google Scholar
[Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., Dorigo, W., 2019. Evolution of the ESA CCI Soil Moisture Climate Data Records and their underlying merging methodology. Earth System Science Data, 11, 717–739. https://doi.org/10.5194/essd-11-717-201910.5194/essd-11-717-2019]Search in Google Scholar
[Gwak, Y., Kim, S., 2017. Factors affecting soil moisture spatial variability for a humid forest hillslope. Hydrol. Processes, 31, 431–445.10.1002/hyp.11039]Search in Google Scholar
[Hengl, T., Mendes de Jesus, J., Heuvelink, G.B.M., Ruiperez Gonzalez, M., Kilibarda, M., Blagoti´c, A., Shangguan, W., Wright, M.N., Geng, X., Bauer-Marschallinger, B., et al., 2017. Soilgrids 250 m: Global gridded soil information based on machine learning. PLoS ONE, 12, e0169748.10.1371/journal.pone.0169748]Search in Google Scholar
[Hupet, F., Vanclooster, M., 2002. Intraseasonal dynamics of soil moisture variability within a small agricultural maize cropped field. J. Hydrol., 261, 86–101.10.1016/S0022-1694(02)00016-1]Search in Google Scholar
[IPCC, 2012. Managing the risks of extreme events and disasters to advance climate change adaptation. A Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change [Field, C.B., V. Barros, T.F., Stocker, D., Qin, D.J., Dokken, K.L., Ebi, M.D., Mastrandrea, K.J., Mach, G.-K., Plattner, S.K., Allen, M.T., Midgley, P.M. (eds.)]. Cambridge University Press, Cambridge, UK, and New York, NY, USA, 582 p.]Search in Google Scholar
[Jackson, T.J., Cosh, M.H., Bindlish, R., Starks, P.J., Bosch, D.D., Seyfried, M., Goodrich, D.C., Moran, M.S., Du, J., 2010. Validation of advanced microwave scanning radiometer soil moisture products. IEEE Transactions on Geoscience and Remote Sensing, 48, 12, 4256–4272. DOI: 10.1109/TGRS.2010.205103510.1109/TGRS.2010.2051035]Search in Google Scholar
[Koster, R.D., Mahanama, S.P.P., Livneh, B., Lettenmaier, D.P., Reichle, R.H., 2010. Skill in streamflow forecasts derived from large - scale estimates of soil moisture and snow. Nature Geosciences, 3, 613–616. DOI: 10.1038/ngeo94410.1038/ngeo944]Search in Google Scholar
[Koster, R.D., Brocca, L., Crow, W.T., Burgin, M.S., De Lannoy, G.J.M., 2016. Precipitation estimation using l-band and c-band soil moisture retrievals. Water Resour. Res., 52, 7213–7225.10.1002/2016WR019024]Search in Google Scholar
[Laiolo, P., Gabellani, S., Pulvirenti, L., Boni, G., Rudari, R., et. al., 2014. Validation of remote sensing soil moisture products with a distributed continuous hydrological model. In: IEEE Geoscience and Remote Sensing Symposium. Quebec City, pp. 3319–3322. DOI: 10.1109/IGARSS.2014.6947190.10.1109/IGARSS.2014.6947190]Search in Google Scholar
[Lievens, H., S.K., Tomer, A., Al Bitar, G., De Lannoy, M., Drusch, G., Dumedah, H.-J. H., Franssen, Y., Kerr, B., Martens, Pan, M., 2015. SMOS soil moisture assimilation for improved hydrologic simulation in the Murray Darling Basin, Australia. Remote Sens. Environ., 168, 146–162.10.1016/j.rse.2015.06.025]Search in Google Scholar
[López López, P., Sutanudjaja, E.H., Schellekens, J., Sterk, G., and Bierkens, M.F.P., 2017. Calibration of a large-scale hydrological model using satellite-based soil moisture and evapotranspiration products. Hydrol. Earth Syst. Sci., 21, 3125–3144. https://doi.org/10.5194/hess-21-3125-2017.10.5194/hess-21-3125-2017]Search in Google Scholar
[Manfreda, S., McCabe, M.F., Fiorentino, M., Rodriguez-Iturbe, I., Wood, E.F., 2007. Scaling characteristics of spatial patterns of soil moisture from distributed modelling. Adv. Water Resour., 30, 2145–2150.10.1016/j.advwatres.2006.07.009]Search in Google Scholar
[Molnar, D.K., Julien, P.Y., 2000. Grid-size effects on surface runoff modelling. Journal of Hydrologic Engineering, 5, 1.10.1061/(ASCE)1084-0699(2000)5:1(8)]Search in Google Scholar
[Montzka, C., Rötzer, K., Bogena, H.R., Sanchez, N., Vereecken, H., 2018. A new soil moisture downscaling approach for SMAP, SMOS, and ASCAT by predicting sub-grid variability. Remote Sens., 10, 427.10.3390/rs10030427]Search in Google Scholar
[Mualem, Y., 1976. A new model predicting the hydraulic conductivitynof unsaturated porous media. Water Resour. Res., 12, 513–522.10.1029/WR012i003p00513]Search in Google Scholar
[Nash, J.E., Sutcliffe, J.V., 1970. River flow forecasting through conceptual models: Part I. A discussion of principles. Journal of Hydrology, 27, 3, 282–290.10.1016/0022-1694(70)90255-6]Search in Google Scholar
[Pavlik, F., Dumbrovský, M., 2014. Influence of landscape retention capacity upon flood processes in Jičínka River basin. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 62, 1, 191–199. DOI: 10.11118/actaun20146201019110.11118/actaun201462010191]Search in Google Scholar
[Parajka, J., Naeimi, V., Blöschl, G., Wagner, W., Merz, R., Scipal, K., 2006. Assimilating scatterometer soil moisture data into conceptual hydrologic models at the regional scale. Hydrol. Earth Syst. Sci., 10, 353–368.10.5194/hess-10-353-2006]Search in Google Scholar
[Parajka, J., Naeimi, V., Blöschl, G., Komma, J., 2009. Matching ERS scatterometer based soil moisture patterns with simulations of a conceptual dual layer hydrologic model over Austria. Hydrol. Earth Syst. Sci., 13, 259–271, https://doi.org/10.5194/hess-13-259-200910.5194/hess-13-259-2009]Search in Google Scholar
[Peng, J., Loew, A., Zhang, S., Wang, J., Niesel, J., 2017. Spatial downscaling of satellite soil moisture data using a Vegetation Temperature Condition Index. IEEE Trans. Geosci. Remote Sens., 54, 1, 558–566.10.1109/TGRS.2015.2462074]Search in Google Scholar
[Pereira, A.R., Pruitt, W.O., 2004. Adaptation of the Thornthwaite scheme for estimating daily reference evapotranspiration. Agricultural Water Management, 66, 3, 251–257.10.1016/j.agwat.2003.11.003]Search in Google Scholar
[Qu, W., Bogena, H.R., Huisman, J.A., Vanderborght, J., Schuh, M., Priesack, E., Vereecken, H., 2015. Predicting subgrid variability of soil water content from basic soil information. Geophys. Res. Lett., 42, 789–796.10.1002/2014GL062496]Search in Google Scholar
[Richards, L.A., 1931. Capillary conduction of liquids through porous mediums. Physics, 1, 5, 318–333. DOI: 10.1063/1.174501010.1063/1.1745010]Search in Google Scholar
[Rodell, M., Houser, P., Jambor, U., Gottschalck, J., Mitchell, K., Meng, C.-J., Arsenault, K., Cosgrove, B., Radakovich, J., Bosilovich, M., 2004. The global land data assimilation system. Bull. Am. Meteorol. Soc., 85, 381–394. https://doi.org/10.1175/BAMS-85-3-38110.1175/BAMS-85-3-381]Search in Google Scholar
[Rosenbaum, U., Bogena, H.R., Herbst, M., Huisman, J.A., Peterson, T.J., Weuthen, A., Western, A.W., Vereecken, H., 2012. Seasonal and event dynamics of spatial soil moisture patterns at the small catchment scale. Water Resour. Res., 48, 10. https://doi.org/10.1029/2011WR01151810.1029/2011WR011518]Search in Google Scholar
[Rötzer, K., Montzka, C., Bogena, H., Wagner, W., Kerr, Y.H., Kidd, R., Vereecken, H., 2014. Catchment scale validation of smos and ascat soil moisture products using hydrological modeling and temporal stability analysis. J. Hydrol., 519, 934–946.10.1016/j.jhydrol.2014.07.065]Search in Google Scholar
[Saint-Venant, A.J.C.B., 1871. Théorie du mouvement non permanent des eaux, avec application aux crues des rivières et a l’introduction de marées dans leurs lits. Comptes rendus hebdomadaires des séances de l’Académie des sciences, 73, 147–154, 237–240.]Search in Google Scholar
[Stoorvogel, J.J., Bakkenes, M., Temme, A.J.A.M., Batjes, N.H., ten Brink, B.J.E., 2017. S-world: A global soil map for environmental modelling. Land Degrad. Dev., 28, 22–33.10.1002/ldr.2656]Search in Google Scholar
[Shangguan, W., Dai, Y.J., Duan, Q.Y., Liu, B.Y., Yuan, H., 2014. A global soil data set for earth system modeling. J. Adv. Model. Earth Syst., 6, 249–263.10.1002/2013MS000293]Search in Google Scholar
[Srivastava, P.K., Han, D., Rico-Ramirez, M.A., Islam, T., 2013. Appraisal of SMOS soil moisture at a catchment scale in a temperate maritime climate. Journal of Hydrology, 498, 292–304.10.1016/j.jhydrol.2013.06.021]Search in Google Scholar
[Teuling, A.J., Troch, P.A., 2005. Improved understanding of soil moisture variability dynamics. Geophys. Res. Lett., 32.10.1029/2004GL021935]Search in Google Scholar
[Thiessen, A.H., 1911. Precipitation averages for large areas. Monthly Weather Review, 39, 7, 1082–1084. http://dx.doi.org/10.1175/1520-0493(1911)39<1082b:PAFLA>2.0.CO;210.1175/1520-0493(1911)39<1082b:PAFLA>2.0.CO;2]Search in Google Scholar
[van Genuchten, M.T., 1980. A closed-form equation for predicting the hydraulic conductivity of unsaturated soils. Soil Sci. Soc. Am. J., 44, 892–898.10.2136/sssaj1980.03615995004400050002x]Search in Google Scholar
[Vereecken, H., Huisman, J.A., Pachepsky, Y., Montzka, C., van der Kruk, J., Bogena, H., Weihermüller, L., Herbst, M., Martinez, G., Vanderborght, J., 2014. On the spatio-temporal dynamics of soil moisture at the field scale. J. Hydrol., 516, 76–96.10.1016/j.jhydrol.2013.11.061]Search in Google Scholar
[Verhoest, N.E.C., et al., 2015. Copula-based downscaling of coarse-scale soil moisture observations with implicit bias correction, IEEE Trans.Geosci. Remote Sens., 53, 6, 3507–3521.10.1109/TGRS.2014.2378913]Search in Google Scholar
[Wanders, N., Bierkens, M.F.P., Jong, S.M., Roo, A., Karssenberg, D., 2013. The benefits of using remotely sensed soil moisture in parameter identification of large scale hydrological models. Water Resour. Res., 50, 6874–6891. DOI: 10.1002/2013WR01463910.1002/2013WR014639]Search in Google Scholar
[Wang, L., Qu, J.J., 2009. Satellite remote sensing applications for surface soil moisture monitoring: a review. Frontiers of Earth Science in China, 3, 2, 237–247.10.1007/s11707-009-0023-7]Search in Google Scholar
[Western, A.W., Grayson, R.B., Bloschl, G., Willgoose, G.R., McMahon, T.A., 1999. Observed spatial organization of soil moisture and its relation to terrain indices. Water Resour. Res., 35, 797–810.10.1029/1998WR900065]Search in Google Scholar
[Xiong, L., Yang, H., Zeng, L., Xu, C.-Y., 2018. Evaluating Consistency between the Remotely Sensed Soil Moisture and the Hydrological Model-Simulated Soil Moisture in the Qujiang Catchment of China. Water, 10, 3, 291. https://doi.org/10.3390/w1003029110.3390/w10030291]Search in Google Scholar
[Ye, W., Bates, B.C., Viney, N.R., Silvapan, M., Jakeman, A.J., 1997. Performance of conceptual rainfall–runoff models in low-yielding ephemeral catchments. Water Resources Research, 33, 1, 153–166.10.1029/96WR02840]Search in Google Scholar