Articles | Volume 14, issue 11
Hydrol. Earth Syst. Sci., 14, 2319–2327, 2010
https://doi.org/10.5194/hess-14-2319-2010

Special issue: Advances in statistical hydrology

Hydrol. Earth Syst. Sci., 14, 2319–2327, 2010
https://doi.org/10.5194/hess-14-2319-2010

Research article 19 Nov 2010

Research article | 19 Nov 2010

Spatial uncertainty assessment in modelling reference evapotranspiration at regional scale

G. Buttafuoco et al.

Related subject area

Subject: Engineering Hydrology | Techniques and Approaches: Uncertainty analysis
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Yurui Fan, Kai Huang, Guohe Huang, Yongping Li, and Feng Wang
Hydrol. Earth Syst. Sci., 24, 4601–4624, https://doi.org/10.5194/hess-24-4601-2020,https://doi.org/10.5194/hess-24-4601-2020, 2020
Predicting discharge capacity of vegetated compound channels: uncertainty and identifiability of one-dimensional process-based models
Adam Kiczko, Kaisa Västilä, Adam Kozioł, Janusz Kubrak, Elżbieta Kubrak, and Marcin Krukowski
Hydrol. Earth Syst. Sci., 24, 4135–4167, https://doi.org/10.5194/hess-24-4135-2020,https://doi.org/10.5194/hess-24-4135-2020, 2020
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Uncertainty quantification of floodplain friction in hydrodynamic models
Guilherme Luiz Dalledonne, Rebekka Kopmann, and Thomas Brudy-Zippelius
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Developing a drought-monitoring index for the contiguous US using SMAP
Sara Sadri, Eric F. Wood, and Ming Pan
Hydrol. Earth Syst. Sci., 22, 6611–6626, https://doi.org/10.5194/hess-22-6611-2018,https://doi.org/10.5194/hess-22-6611-2018, 2018
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Technical note: Assessment of observation quality for data assimilation in flood models
Joanne A. Waller, Javier García-Pintado, David C. Mason, Sarah L. Dance, and Nancy K. Nichols
Hydrol. Earth Syst. Sci., 22, 3983–3992, https://doi.org/10.5194/hess-22-3983-2018,https://doi.org/10.5194/hess-22-3983-2018, 2018

Cited articles

Allen, R. G., Pereira, L. S., Raes, D., and Smith, M.: Crop evapotranspiration – guidelines for computing crop water requirements, FAO Irrigation and Drainage, Paper no. 56, Rome, Italy, 1998.
Blaney, H. F. and Criddle, W. D.: Determining water requirements in irrigated area from climatological irrigation data, US Department of Agriculture, Soil Conservation Service, Techical Paper no. 96, Washington, DC, USA, 1950.
Burrough, P. A.: GIS and geostatistics: Essential partners for spatial analysis, Environ. Ecol. Stat., 8, 361–377, 2001.
Castrignanò, A. and Buttafuoco, G.: Geostatistical Stochastic Simulation of Soil Water Content in a Forested Area of South Italy, Biosyst. Eng., 87, 257–266, 2004.
Chilès, J. P. and Delfiner, P.: Geostatistics: Modelling spatial uncertainty, Wiley, New York, USA, 1999.