Albergel, C., Rudiger, C., Carrer, D., Calvet, J., Fritz, N., Naemi, V. (2009). An evaluation of ASCAT surface soil moisture products with in-situ observations in south France. Hydrology and Earth System Sciences, 13, 115–124.
CAS
Article
Google Scholar
Albergel, C., de Rosnay, P., Gruhier, C., Munoz-Sabater, J., Hasenauer, S., Isakese, L., Kerr, Y., Wagner, W. (2012). Evaluation of remotely sensed and modelled soil moisture products using global ground based in-situ observations. Remote Sensing of Environment, 118, 215–226.
Article
Google Scholar
Allen, R.G., Pereira, L.S., Raes, D., Smith, M. (1998). Crop evapotranspiration—guidelines for computing crop water requirements. FAO Irrigation and drainage paper 56. Rome: Food and Agriculture Organization.
Balsamo, G., Dutra, E., Boussetta, S., Beljaars, A., Viterbo, P., van den Hurk, B. (2009). Recent advances in land surface modelling at the ECMWF. In ECMWF/GLASS workshop on land surface modelling. 9–12 November 2010, Reading.
Barnes, F. (2011). Estimating crop water requirement in Arizona and New Mexico. Master’s thesis, Department of Hydrology and Water Resources.
Bissell, C.C., & Chapman, D.A. (1992). Digital signal transmission. Cambridge: Cambridge University Press.
Book
Google Scholar
Bossard, M., Feranec, J., Otahel, J. (2000). ClC2000 technical guidelines. Technical report. Copenhagen: European Environment Agency.
Brier, G.W., & Allen, R.A. (1951). Verification of weather forecasts. In Compendium of meteorology. Boston: American Meteorological Society.
de Rosnay, P., Drusch, M., Boone, A., Balsamo, G., Decharme, B., Harris, P., Kerr, Y., Pellarin, T., Polcher, J., Wigneron, J.-P. (2009). The AMA land surface model intercomparison experiment coupled to the community microwave emission model: ALMIP-MEM. Journal of Geophysical Research, 114. doi:10.1029/2008JD010724.
DeLannoy, G.J.M., Hauser, P.R., Verhoest, N.E.C., Pauwels, V.R.N., Gish, T.J. (2007). Upscaling of point soil moisture measurements to field averages at the OPE3 test site. Journal of Hydrology, 343, 1–11.
Article
Google Scholar
Dorigo, W.A., Wagner, W., Hohensinn, R., Hahna, S., Paulik, C., Drusch, M., Mecklenburg, S., van Oevelen, P., Robock, A., Jackson, T. (2011). The international soil moisture network: a data hosting facility for global in situ soil moisture measurements. Hydrology and Earth System Sciences Discussions, 8, 1609–1663.
Article
Google Scholar
EEA (2007). ClC2006 technical guidelines. Technical report no. EEA17/2007. Copenhagen: European Environment Agency.
ERA (2009). CORINE land-cover Ireland. Technical report. Ireland: Environmental Protection Agency.
ESA (2012). SMOS maps Europe. February 2012. http://www.esa.int/esaLP.
FLUXNET (2013). FLUXNET: a network of regional networks. Technical report, FLUXNET. http://fluxnet.ornl.gov/.
Franz, T.E., Zreda, M., Rosolem, R., Ferre, T.P.A. (2013). A universal calibration function for determination of soil moisture with cosmic-ray neutrons. Hydrology and Earth System Sciences, 17, 453–460.
Article
Google Scholar
Gerten, D., Schaphoff, S., Haberlandt, U., Lucht, W., Sitch, S. (2003). Terrestrial vegetation and water balance—hydrological evaluation of a dynamic global vegetation model. Journal of Hydrology, 286, 249–270.
Article
Google Scholar
Gherboudi, I., Magagi, R., Berg, A.A., Toth, B. (2011). Soil moisture retrieval over agricultural fields from multi-polarized and multiangular Radarsat-2 SAR data. Remote Sensing of Environment, 115, 33–43.
Article
Google Scholar
Gijsman, A.J., Jagtap, S.S., Jones, J.W. (2002). Wading through a swamp of complete confusion, How to choose a method for estimating soil water retention parameters for crop models. European Journal of Agronomy, 18, 75–105.
Article
Google Scholar
Haylock, M.R., Hofstra, N., Klein-Tank, A.M.G., Klok, E.J., Jones, P.D., New, M. (2008). A European daily high-resolution gridded data set of surface temperature and precipitation for 1950–2006. Journal of Geophysical Research, 113, D20119. doi:10.1029/2008JD10201.
Article
Google Scholar
Hofstra, N., New, M., Sweeney, C.M. (2010). Influence of interpolation and station network density on the distribution and extreme trends of climate variables in gridded data. Climate Dynamics, 35, 841–858.
Article
Google Scholar
JRC-EC. (2010). European soil data centre. Technical report. Brussels: EC-JRC. http://esdac.jrc.ec.europa.eu/.
Kampe, T.U., Johnston, B.R., Kuester, M., Keller, M. (2010). NEON: the first continental-scale ecological observatory with airborne remote sensing of vegetation canopy biochemistry and structure. Journal of Remote Sensing, 4, 1–24.
Google Scholar
Kendall, M.G., & Stuart, A. (1973). The advanced theory of statistics, Vol. 2. London: Griffin.
Google Scholar
Kerr, Y.H., Waldteufel, P., Delwart, J.P., Capot, S., Boutin, J. (2010). The SMOS mission: new tool for monitoring key elements of the global water cycle. Proceedings of the IEEE.
Laguardia, G., & Niemeyer, S. (2008). On the comparison between the LISFLOOD modeled and the ERS/SCAT derived soil moisture estimates. Hydrology and Earth System Sciences, 12, 1–13.
Article
Google Scholar
Leuning, R., Cleugh, H.A., Zegelin, S.J., Hughes, D. (2005). Carbon and water fluxes over a temperate eucalyptus forest and a tropical wet/dry savannah in Australia: measurements and comparison with Modis remote sensing estimates. Agricultural and Forest Meteorology, 129, 151–173.
Article
Google Scholar
Micale, F., & Genovese, G. (2003). Methodology of the MARS crop yield forecasting system. European report 21291 EN/1-4. Brussels: EC-Joint Research Centre.
Mittelbach, H., Lehner, I., Seneviratne, S.I. (2012). Comparison of four soil moisture sensor types under field conditions in Switzerland. Journal of Hydrology, 430–431, 39–49.
Article
Google Scholar
Moriasi, D.N., Arnold, J.G., Van Liew, M.W., Bingner, R.L., Harmel, R.D., Veith, T.L. (2007). Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Transactions of the ASABE, 50, 885–900.
Article
Google Scholar
Nash, J.E., & Sutcliffe, J.V. (1970). River flow forecasting through conceptual models. Part I. A discussion of principles. Journal of Hydrology, 10, 282–290.
Article
Google Scholar
Noilhan, J., & Mahfouf, J.-F. (1996). The ISBA land surface parameterization scheme. Global and Planetary Change, 13, 145–159.
Article
Google Scholar
Peixoto, J.P., & Oort, A.H. (1992). Physics of climate. Berlin: Springer.
Google Scholar
Penman, H.L. (1948). Natural evapotranspiration from open water, bare soil, and grass. Proceedings of the Royal Meteorological Society.
Raes, D. (2002). BUDGET: a soil water and salt balance model. Reference manual, version 5.0. Leuven: Catholic University of Leuven.
Rahman, M.M., Moran, M.S., Thoma, D.P., Bryant, R., Holifield, A., Collins, C.D., Jackson, T., Orr, B.J., Tischler, M. (2008). Mapping surface roughness and soil moisture using multi-angle radar imagery without ancillary data. Remote Sensing of Environment, 112, 391–402.
Article
Google Scholar
Rocha, J., Perdigão, A., Melo, R., Henriques, C. (2010). Managing water in agriculture through remote sensing applications. In: R. Reuter (Ed.) EARSeL symposium on remote sensing for science, education, and natural and cultural heritage.
Sandholt, I., Rasmussen, K., Andersen, J. (2002). A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status. Remote Sensing of Environment, 79, 213–224.
Article
Google Scholar
Saxton, K.E., & Rawls, W.J. (2006). Soil water characteristic estimates by texture and organic matter for hydrologic solutions. Soil Science Society of America Journal, 70, 1569–1578.
CAS
Article
Google Scholar
Schmugge, T.J. (1983). Remote sensing of soil moisture: recent advances. IEEE Trans-actions on Geoscience and Remote Sensing, GE21, 145–146.
Google Scholar
Schumann, G., Lunt, D.J., Valdes, P.J., de Jeu, R.A.M., Scipal, K., Bates, P.D. (2009). Assessment of soil moisture fields from imperfect climate models with uncertain satellite observations. Hydrology and Earth System Sciences Discussion, 13, 1545–1553.
Google Scholar
Scipal, K. (2002). Global soil moisture retrieval from ERS Scatterometer data. PhD thesis. Austria: Vienna University of Technology. http://www.ipf.tuwien.ac.at/radar/ascat/publ/0014.pdf.
Sheikh, V., Visser, S., Stroosnijder, L. (2009). A simple model to predict soil moisture: bridging event and continuous hydrological (BEACH) modelling. Environmental Modelling Software, 240(4), 542–556.
Article
Google Scholar
Shuttleworth, J., Rosolem, R., Zreda, M., Franz, T.E. (2013). The cosmic-ray soil moisture interaction code (COSMIC) for use in data assimilation. Hydrology and Earth System Sciences Discussions, 10, 1097–1125.
Article
Google Scholar
Shuttleworth, W.J., & Wallace, J.S. (2009). Calculating the water requirements of irrigated crops in Australia using the Matt-Shuttleworth approach. Transactions of the ASABE, 52, 1895–1906.
Article
Google Scholar
Sitch, S., Smith, B., Prentice, I.C., Arneth, A., Bondeau, A., Cramer, W., Kaplan, O.J., Lewis, S., Lucht, W., Sykes, M.T., Thonicke, K., Venevsky, S. (2003). Evaluation ecosystem dynamics, plant geography and terestrial carbon cycle in the LPJ dynamic global vegetation model. Global Change, 9, 161–185.
Article
Google Scholar
Stjernholm, M. (2009). Corine land cover 2006. Final report on interpretation of CLC2006 in Denmark. Technical report. Denmark: NERI.
Sung, C.T.B., & Iba, J. (2010). Accuracy of the Saxton-Rawls method for estimating the soil water characteristics for mineral soils of malaysia. Journal of Tropical Agriculture Science, 33, 297–302.
Google Scholar
Thielen, J., Bartholmes, J., Ramos, M.-H., de Roo, A. (2008). The European Flood Alert System - part 1 concepts and developments. Hydrology and Earth System Sciences Discussions, 5, 257–287.
Article
Google Scholar
UN-DESA (1992). Agenda21-comprehensive plan of action to be taken globally, nationally and locally by organizations of the united nations system, governments, and major groups in every area in which human impacts on the environment Technical report. New York: UN Department of Economic and Social Affairs.
UN-DESA (2012). System of environmental-economic accounting for water, Technical report. New York: The Department of Economic and Social Affairs of the United Nations Secretariat.
van der Knijff, J., Younis, J., de Roo, A. (2009). LISFLOOD: A GIS-based distributed model for river basin scale water balance and floods simulation. JRC scientific and technical report. Brussels: EC-Joint Research Centre.
van Doninck, J., Peters, J., Lievens, H., De Baets, B., Verhoest, N.E.C. (2012). Accounting for seasonality in a soil moisture change detection algorithm for ASAR wide swath time series. Hydrology and Earth System Sciences, 10(16), 773–786.
Article
Google Scholar
van Engelen, A., Klein Tank, A., van der Schrier, G., Klok, L. (2008). European climate assessment & dataset (ECA&D). Technical report. The Netherlands: KNMI.
Wagner, W., Lemoine, G., Rott, H. (1999). A method for estimating soil moisture from ERS scatterometer and soil data. Remote Sensing of Environment, 70, 191–207.
Article
Google Scholar
Wagner, W., Bloschl, G., Pampaloni, P., Calvet, J. (2007). Operational readiness of microwave remote sensing of soil moisture for hydrological applications. Nordic Hydrology, 38, 1–20.
Article
Google Scholar
Wagner, W., Pathe, C., Doubkova, M., Sabel, D., Bartsch, A., Hasenauer, S., Blischl, G., Scipal, M., Martinez Fernandez, M., Luw, A. (2008). Temporal stability of soil moisture and radar backscatter observed by the advanced synthetic aperture radar (ASAR). Sensors, 8, 1174–1197.
Article
Google Scholar
Wallace, J.S. (1995). Calculating evapotranspiration: resistance to factors. Agricultural and Forest Meteorology, 73, 353–366.
Article
Google Scholar
Western, A.W., & Bloschl, G. (1999). On the spatial scaling of soil moisture. Journal of Hydrology, 217, 203–224.
Article
Google Scholar
Wilks, D.S. (1995). Statistical methods in the atmospheric science. San Diego: Academic.
Google Scholar
Zhang, Y., Wei, H., Nearing, M.A. (2011). Effects of antecedent soil moisture on runoff modeling in small semiarid watersheds of southeastern Arizona. Hydrology and Earth System Sciences, 150, 3171–3179.
Article
Google Scholar
Zreda, M., Shuttleworth, W.J., Zeng, X., Zweck, C., Desilets, D., Franz, T., Rosolem, R. (2012). COSMOS: the cosmic-ray soil moisture observing system. Hydrology and Earth System Science, 16, 4079–4099.
Article
Google Scholar