Which potential evapotranspiration input for a lumped rainfall–runoff model?

Oudin, Ludovic; Hervieu, Frédéric; Michel, Claude; Perrin, Charles; Andréassian, Vazken; Anctil, François; Loumagne, C.

doi:10.1016/j.jhydrol.2004.08.026

Cited by 834 publications

(335 citation statements)

References 24 publications

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“…Each contains a number of parameters representative of the climatic region where the equation was originally developed, which can be modified through a calibration procedure to match the climatic regime of the UK. Three additional equations were also assessed, that were not suitable for simple calibration techniques, or had set calibrations: Oudin (Oudin et al, 2005), MOHYSE (Fortin, 2006) and Thornthwaite (Thornthwaite, 1948) (Eq5 to 7 in table 1). 25…”

Section: Temperature-based Equationsmentioning

confidence: 99%

“…When such high-resolution physically-based PET datasets are not available, temperature-based PET datasets such as the historical PET dataset 20 reconstructed here provide a valuable substitute. As suggested by Oudin et al (2005), such temperature-based methods are suitable for conceptual hydrological modelling, and when available at a fine spatial scale, also suitable for distributed hydrological modelling. The gridded McGuinness-Bordne PET dataset derived here is unique for the UK, with a high spatial (5km) and temporal (daily) resolution covering 125 years over the UK, including Northern Ireland.…”

Section: Limitations and Recommendationsmentioning

confidence: 99%

“…Doorenbos and Pruitt, 1984;Hargreaves and Samani, 1983;Jensen and Haise, 1963), which use measured data such as net solar radiation, sunshine hours or cloudiness factors; and the temperature-based methods (e.g. Blaney and Criddle, 1950;Thornthwaite, 1948;Oudin et al, 2005;McGuinness and Bordne, 1972), which use temperature as proxy for the radiative energy available, along with extra-terrestrial radiation estimated from the date of the year and latitude. Both radiation and temperature methods are used instead of combination methods when the full set of climatic variables necessary 15 for the latter is not readily available.…”

Section: Introductionmentioning

confidence: 99%

“…However, there is no general agreement on the best performing method, and the final choice of the equation often depends on the application and data availability, as well as on the particular environmental setting (e.g. Donohue et al, 2010;Federer et al, 1996;Oudin et al, 2005;Prudhomme and Williamson, 2013;Xu and Singh, 2001;Xu and Singh, 2000). When little or no climatic variables are available, an alternative is to use remote sensing data in simplified empirical PET methods (Barik, 2014;Barik et al, 2016;Knipper, 2017;Mu, 2013), however this can only be applied to the 20 satellite era (from the 1970s-1980s).…”

Section: Introductionmentioning

confidence: 99%

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Historical gridded reconstruction of potential evapotranspiration for the UK

Tanguy¹,

Prudhomme²,

Smith³

et al. 2018

Preprint

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Abstract. Potential Evapotranspiration (PET) is a necessary input data for most hydrological models and is usually needed at a daily or shorter time-step. An accurate estimation of PET requires many input climate variables which are in most cases not 10 available prior to the 1960s for the UK, nor indeed most parts of the world. Therefore, when applying hydrological models for reconstructing earlier periods, modellers have to rely on PET estimation derived from simplified methods. Given that only monthly observed temperature data is readily available for the late 19th and early 20th century at a national scale for the UK, the objective of this work was to derive the best possible UK-wide gridded PET dataset with the limited data available.To that end, firstly, a combination of (i) seven temperature-based PET equations, (ii) four different calibration approaches and 15 (iii) seven input temperature data were evaluated against a gridded daily PET product based on the physically-based PenmanMonteith equation (the CHESS PET dataset), the rationale being that this provides a reliable 'ground-truth' PET dataset for evaluation purposes, given that no directly observed, distributed PET datasets exist. The performance of the models was also compared to the simplest possible estimation of PET ('naïve method') in the absence of any available climate data, the CHESS PET daily long term average (the period from 1961 to 1990 was chosen for this study), or CHESS-PET daily climatology. The 20 analysis revealed that the type of calibration and the input temperature dataset had only a minor effect in the accuracy of the PET estimations at catchment scale. From the seven equations tested, only the calibrated version of the McGuinness-Bordne equation was able to outperform the 'naïve method' and was therefore used to derive the gridded, reconstructed dataset. The equation was calibrated using 43 catchments across Great Britain.The dataset produced is a 5-km gridded PET dataset for the period 1891 to 2015, using as input data for the PET equation the 25 Met Office 5-km monthly gridded temperature data available for that time period, which was disaggregated to daily temperature using pchip (piecewise cubic hermite interpolating polynomial) method. The dataset includes daily and monthly PET grids and is complemented with a suite of mapped performance metrics to help users assess the quality of the data spatially.The data can be accessed here: https://doi.org/10.5285/17b9c4f7-1c30-4b6f-b2fe-f7780159939c.Earth Syst. Sci. Data Discuss., https://doi

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Section: Temperature-based Equationsmentioning

confidence: 99%

Section: Limitations and Recommendationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Historical gridded reconstruction of potential evapotranspiration for the UK

Tanguy¹,

Prudhomme²,

Smith³

et al. 2018

Preprint

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“…They were based on monthly statistics for every single month through time derived from daily values except for potential evapotranspiration (PET). PET was calculated with a temperature-based model originally proposed by Oudin et al (2005). The model was modified to include wind speed and vegetation height, as used in the blanket peatland PET estimation by Clark (2005) for our study site 7 (see Fig.…”

Section: Climate Datamentioning

confidence: 99%

Prediction of blanket peat erosion across Great Britain under environmental change

Holden

Irvine

2015

Climatic Change

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A recently developed fluvial erosion model for blanket peatlands, PESERA-PEAT, was applied at ten sites across Great Britain to predict the response of blanket peat erosion to environmental change. Climate change to 2099 was derived from seven UKCP09 future projections and the UK Met Office's historical dataset. Land management scenarios were established based on outputs from earlier published investigations. Modelling results suggested that as climate changes, the response of blanket peat erosion will be spatially very variable across Great Britain. Both relative changes and absolute values of sediment yield were predicted to be higher in southern and eastern areas than in western and northern parts of Great Britain, peaking in the North York Moors of eastern England. Areas with high precipitation and low temperature were predicted to have low relative erosion changes and absolute sediment yield. The model suggested that summer desiccation may become more important for blanket peat erosion under future climate change, and that temperature was more dominant than precipitation in controlling long-term blanket peat erosion change. However, in the North York Moors, precipitation appeared to be more dominant in driving long-term erosion change. Land management measures were shown to provide a means to mitigate against the impacts of climate change on blanket peat erosion.

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On regionalizing the Turc‐Mezentsev water balance formula

Lebecherel

Andréassian

Perrin

2013

Water Resources Research

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[1] The Turc-Mezentsev water balance formula is a simple and efficient mathematical formulation relating long-term average streamflow to long-term average precipitation and potential evaporation. Usually, it is applied in its original form, i.e., without parameterization. This paper aims to assess the possibilities of regionalizing this formula for improved efficiency on ungaged catchments. Four regionalization options are compared based on: (i) the relative error, (ii) the arithmetic difference, (iii) the correcting factor of the aridity index, and (iv) the shape factor. The four alternatives are assessed in terms of efficiency and robustness on a large set of 609 French catchments. We show that introducing a correcting factor of the aridity index provides the best regionalization solution.Citation: Lebecherel, L., V. Andreassian, and C. Perrin (2013), On regionalizing the Turc-Mezentsev water balance formula, Water Resour. Res., 49,[7508][7509][7510][7511][7512][7513][7514][7515][7516][7517]

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Which potential evapotranspiration input for a lumped rainfall–runoff model?

Cited by 834 publications

References 24 publications

Historical gridded reconstruction of potential evapotranspiration for the UK

Historical gridded reconstruction of potential evapotranspiration for the UK

Prediction of blanket peat erosion across Great Britain under environmental change

On regionalizing the Turc‐Mezentsev water balance formula

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