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Assessing reference evapotranspiration estimation from reanalysis weather products. An application to the Iberian Peninsula

Published on Apr 1, 2017in International Journal of Climatology 3.60
· DOI :10.1002/joc.4852
Diogo S. Martins6
Estimated H-index: 6
(Instituto Superior de Agronomia),
Paula Paredes18
Estimated H-index: 18
(Instituto Superior de Agronomia)
+ 3 AuthorsLuis S. Pereira51
Estimated H-index: 51
(University of Lisbon)
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Abstract
Computing crop reference evapotranspiration (ETo) with the FAO Penman–Monteith method (PM-ETo) requires maximum and minimum air temperature, shortwave radiation, relative air humidity and wind speed. These data are often not available, thus requiring alternative computation procedures. Although some proposed approximations may provide ETo values with small estimation errors, the physics of the ET processes may then not be well described. The use of reanalysis data, which is common in climate studies, represents an alternative to observation data for the weather variables referred above, when these are not available. This study focuses on the use of the National Center for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) blended reanalysis products with gridded data sets for the computation of PM-ETo in the Iberian Peninsula. A monthly time step was adopted. The PM-ETo time series computed with the blended reanalysis data sets were compared with those obtained using observations for 130 weather stations in the Iberian Peninsula. Results show that the PM-ETo computed with blended reanalysis compares well with the series computed from observation data (average root mean square error, RMSE = 0.49 mm day−1). The weather variables derived from reanalysis were also compared with observation data. Results supported the quality of ETo computations because, overall, there was a good match between solar radiation (average RMSE = 1.76 MJm−2 day−1) and maximum temperature (average RMSE = 1.48 °C) derived from reanalysis and in situ observations. By contrast, the wind speed from reanalysis highly overestimated observations and this is likely a reason for the slight overestimation of ETo computed from reanalysis (percentage bias, PBIAS>20% in 89% of cases). In addition, the reanalysis products are apparently influenced by modelled warming, which contributes to overestimation of the minimum temperature and, to a lesser extent, of the relative humidity. The spatial pattern of accuracy indicators reveals that poorer results correspond to the southern and south-eastern coastal areas of Iberia, where climate is semi-arid. The compatibility of the PM-ETo computed with monthly inputs and of the daily ETo cumulated to the month using the PM-ETo equation was confirmed, thus allowing to extend conclusions of this study to daily computations. Alternative reanalysis products were also assessed. Tests for ERA-Interim reanalysis products revealed overestimation of ETo and those for NCEP/NCAR Reanalysis II have shown large underestimation. Results suggest that the blended reanalysis products are suitable for the estimation of ETo in Iberia since they integrate an appropriate correction of radiation and temperature, which proved essential for the good estimation results obtained.
  • References (83)
  • Citations (6)
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References83
Newest
Published on Apr 1, 2016in Theoretical and Applied Climatology 2.72
Prashant K. Srivastava27
Estimated H-index: 27
(UoB: University of Bristol),
Dawei Han27
Estimated H-index: 27
(UoB: University of Bristol)
+ 3 AuthorsQiang Dai11
Estimated H-index: 11
(UoB: University of Bristol)
Reference evapotranspiration (ETo) is an important variable in hydrological modeling, which is not always available, especially for ungauged catchments. Satellite data, such as those available from the MODerate Resolution Imaging Spectroradiometer (MODIS), and global datasets via the European Centre for Medium Range Weather Forecasts (ECMWF) reanalysis (ERA) interim and National Centers for Environmental Prediction (NCEP) reanalysis are important sources of information for ETo. This study explor...
11 Citations Source Cite
Published on Apr 1, 2016in International Journal of Climatology 3.60
Guobin Fu28
Estimated H-index: 28
(CSIRO: Commonwealth Scientific and Industrial Research Organisation),
Stephen P. Charles22
Estimated H-index: 22
(CSIRO: Commonwealth Scientific and Industrial Research Organisation)
+ 2 AuthorsFen Ouyang1
Estimated H-index: 1
(Hohai University)
This study compares observations of 22 climate variables [rainfall, minimum and maximum temperature, mean sea level pressure (MSLP), and air temperature, geopotential heights, relative and specific humidity, and u-wind and v-winds at 500, 700 and 850 hPa] over Australia with NCEP-NCAR (National Centers for Environmental Prediction-National Center for Atmospheric Research) and ERA-Interim, two most often used reanalysis products. The results indicate that both NCEP-NCAR and ERA-Interim generally ...
11 Citations Source Cite
Published on Sep 1, 2015in International Journal of Climatology 3.60
M. Cruz-Blanco5
Estimated H-index: 5
(Junta of Andalusia),
C. Santos10
Estimated H-index: 10
(Junta of Andalusia)
+ 1 AuthorsI.J. Lorite17
Estimated H-index: 17
(Junta of Andalusia)
In this study, a detailed spatial analysis of the reference evapotranspiration (ETo) estimates provided by the MAK-Adv approach and the well-known Penman-Monteith equation (PM-FAO56) has been carried out. MAK-Adv approach considers a regionally calibrated Makkink equation based on a combination of remotely sensed solar radiation, Rs, provided by the Land Surface Analysis Satellite Applications Facility (LSA SAF), and numerical weather forecasts of near-surface air temperature, T2m, provided by t...
6 Citations Source Cite
Published on Aug 1, 2015in International Journal of Climatology 3.60
R. Lorente‐Plazas1
Estimated H-index: 1
(University of Murcia),
Juan Pedro Montavez20
Estimated H-index: 20
(University of Murcia)
+ 3 AuthorsPedro A. Jiménez16
Estimated H-index: 16
(NCAR: National Center for Atmospheric Research)
The use of hindcast climatic data is quite extended for multiple applications. However, this approach needs the support of a validation process to allow its drawbacks and, therefore, confidence levels to be assessed. In this work, the strategy relies on an hourly wind database resulting from a dynamical downscaling experiment, with a spatial resolution of 10 km, covering the Iberian Peninsula (IP), driven by the ERA40 reanalysis (1959–2001) extended by European Centre for Medium-Range Weather Fo...
19 Citations Source Cite
Published on Jul 1, 2015in Journal of Hydrology 4.41
Sergio M. Vicente-Serrano49
Estimated H-index: 49
(CSIC: Spanish National Research Council),
Gerard van der Schrier9
Estimated H-index: 9
(KNMI: Royal Netherlands Meteorological Institute)
+ 2 AuthorsJuan‐I. López‐Moreno4
Estimated H-index: 4
(CSIC: Spanish National Research Council)
Summary In this study we analyzed the sensitivity of four drought indices to precipitation (P) and reference evapotranspiration (ETo) inputs. The four drought indices are the Palmer Drought Severity Index (PDSI), the Reconnaissance Drought Index (RDI), the Standardized Precipitation Evapotranspiration Index (SPEI) and the Standardized Palmer Drought Index (SPDI). The analysis uses long-term simulated series with varying averages and variances, as well as global observational data to assess the s...
83 Citations Source Cite
Published on May 1, 2015in Water Resources Management 2.99
Prashant K. Srivastava27
Estimated H-index: 27
(UMD: University of Maryland, College Park),
Tanvir Islam16
Estimated H-index: 16
(CSU: Colorado State University)
+ 2 AuthorsQiang Dai11
Estimated H-index: 11
(UoB: University of Bristol)
Rainfall and Reference Evapotranspiration (ETo) are the most fundamental and significant variables in hydrological modelling. However, these variables are generally not available over ungauged catchments. ETo estimation usually needs measurements of weather variables such as wind speed, air temperature, solar radiation and dew point. After the development of reanalysis global datasets such as the National Centre for Environmental Prediction (NCEP) and high performance modelling framework Weather...
16 Citations Source Cite
Published on Apr 1, 2015in Journal of Hydrology 4.41
Cesar Azorin-Molina23
Estimated H-index: 23
(CSIC: Spanish National Research Council),
Sergio M. Vicente-Serrano49
Estimated H-index: 49
(CSIC: Spanish National Research Council)
+ 6 AuthorsMiquel Tomas-Burguera10
Estimated H-index: 10
(CSIC: Spanish National Research Council)
Summary We analyzed the spatio-temporal evolution of evaporation observations from Piche atmometers (1961–2011; 56 stations) and Pan evaporimeters (1984–2011; 21 stations) across Spain, and compared both measurements with evaporation estimates obtained by four physical models: i.e., Food and Agricultural Organization-56 Penman–Monteith, Food and Agricultural Organization-Pan, PenPan and Penman, based on climate data. In this study we observed a positive and statistically significant correlation ...
27 Citations Source Cite
Published on Jan 1, 2015in Agricultural Water Management 3.54
Luis S. Pereira51
Estimated H-index: 51
(Instituto Superior de Agronomia),
Richard G. Allen52
Estimated H-index: 52
(UIdaho: University of Idaho)
+ 1 AuthorsDirk Raes38
Estimated H-index: 38
(Katholieke Universiteit Leuven)
Abstract The FAO Irrigation and Drainage Paper No 56 on Crop Evapotranspiration has been in publication for more than 15 years. The paper advanced the accuracy and consistency of operational computation of evapotranspiration (ET) for agricultural and other land use types. The paper included updated definition and procedures for computing reference ET, an update on estimating crop coefficients ( K c ), the adoption of the dual K c for separate estimation of crop transpiration and soil evaporation...
144 Citations Source Cite
M. Cruz-Blanco5
Estimated H-index: 5
(Junta of Andalusia),
P. Gavilán11
Estimated H-index: 11
(Junta of Andalusia)
+ 1 AuthorsI.J. Lorite17
Estimated H-index: 17
(Junta of Andalusia)
Abstract Reference evapotranspiration ( ET o ) assessment at regional scale is a challenge to agricultural and hydrological research requiring the characterization of vast areas to obtain accurate meteorological variables. To account for this, a new approach considering a modified version of the Makkink equation and based on a combination of remotely sensed solar radiation ( R s ) considering the MSG satellite, and numerical weather forecast of near surface air temperature ( T 2 m ), was develop...
10 Citations Source Cite
Published on Oct 1, 2014in Global and Planetary Change 4.10
Sergio M. Vicente-Serrano49
Estimated H-index: 49
(CSIC: Spanish National Research Council),
Cesar Azorin-Molina23
Estimated H-index: 23
(CSIC: Spanish National Research Council)
+ 5 AuthorsFrancisco Espejo4
Estimated H-index: 4
(Agencia Estatal de Meteorología)
Abstract In this study we analyzed the spatial distribution, temporal variability and trends in reference evapotranspiration (ET 0 ) in Spain from 1961 to 2011. Twelve methods were analyzed to quantify ET 0 from quality controlled and homogeneous series of various meteorological variables measured at 46 meteorological stations. Some of the models used are temperature based (e.g., Thornthwaite, Hargreaves, Linacre), whereas others are more complex and require more meteorological variables for cal...
48 Citations Source Cite
Cited By6
Newest
Published on Jun 1, 2019in Journal of Mountain Science 1.42
Farong Huang1
Estimated H-index: 1
(CAS: Chinese Academy of Sciences),
Tao Yang21
Estimated H-index: 21
(CAS: Chinese Academy of Sciences)
+ 3 AuthorsSuwannee Adsavakulchai (University of the Thai Chamber of Commerce)
The investigation of concentration characteristics of reference evapotranspiration (ETref) is important for water resources management. The concentration index (CI), concentration degree (CD) and concentration period (CP) are used to investigate the concentration characteristics of ETref and the relationship between ETref concentration and precipitation concentration at sub-monthly timescale based on the daily climatic variables from 1966 to 2015 in 27 meteorological stations at the southern and...
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Published on Apr 1, 2019in Agricultural Water Management 3.54
Paula Paredes18
Estimated H-index: 18
(Instituto Superior de Agronomia),
Luis S. Pereira51
Estimated H-index: 51
(Instituto Superior de Agronomia)
Abstract The computation of the reference crop evapotranspiration (ET o ) using the FAO Penman-Monteith equation (PM-ET o ) requires data on maximum and minimum air temperatures (T max , T min ), vapour pressure deficit (VPD), solar radiation (R s ) and wind speed at 2 m height (u 2 ). However, those data are often not available, or data sets may be incomplete or have questionable quality. Various procedures were proposed in FAO56 to overcome these limitations and an abundant literature has been...
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Published on Nov 1, 2018in Theoretical and Applied Climatology 2.72
Paula Paredes18
Estimated H-index: 18
(University of Lisbon),
J. C. Fontes4
Estimated H-index: 4
(University of the Azores)
+ 1 AuthorsLuis S. Pereira51
Estimated H-index: 51
(University of Lisbon)
Reference crop evapotranspiration (ETo) estimations using the FAO Penman-Monteith equation (PM-ETo) require a set of weather data including maximum and minimum air temperatures (T max, T min), actual vapor pressure (e a), solar radiation (R s), and wind speed (u 2). However, those data are often not available, or data sets are incomplete due to missing values. A set of procedures were proposed in FAO56 (Allen et al. 1998) to overcome these limitations, and which accuracy for estimating daily ETo...
4 Citations Source Cite
Published on Nov 1, 2018in Agricultural Water Management 3.54
Paula Paredes18
Estimated H-index: 18
(IPN: Instituto Politécnico Nacional),
Diogo S. Martins6
Estimated H-index: 6
(Instituto Superior de Agronomia)
+ 2 AuthorsCarlos Pires10
Estimated H-index: 10
(University of Lisbon)
Abstract This study aims at assessing the accuracy of estimating daily grass reference evapotranspiration (PM-ET o ) computed with ERA-Interim reanalysis products, as well as to assess the quality of reanalysis products as predictors of daily maximum and minimum temperature, net radiation, dew point temperature and wind speed, which are used to compute PM-ET o . With this propose, ET o computed from local observations of weather variables in 24 weather stations distributed across Continental Por...
1 Citations Source Cite
Published on Oct 1, 2018in Theoretical and Applied Climatology 2.72
Paula Paredes18
Estimated H-index: 18
(University of Lisbon),
J. C. Fontes4
Estimated H-index: 4
(University of the Azores)
+ 1 AuthorsLuis S. Pereira51
Estimated H-index: 51
(University of Lisbon)
Reference crop evapotranspiration (ETo) estimations using the FAO Penman-Monteith equation (PM-ETo) require several weather variables that are often not available. Then, ETo may be computed with procedures proposed in FAO56, either using the PM-ETo equation with temperature estimates of actual vapor pressure (e a) and solar radiation (R s), and default wind speed values (u 2), the PMT method, or using the Hargreaves-Samani equation (HS). The accuracy of estimates of daily e a, R s, and u 2 is pr...
5 Citations Source Cite
Published on May 1, 2018in Journal of Hydrology 4.41
Miquel Tomas-Burguera10
Estimated H-index: 10
(CSIC: Spanish National Research Council),
Santiago Beguería Portugués46
Estimated H-index: 46
(CSIC: Spanish National Research Council)
+ 1 AuthorsMarco P. Maneta11
Estimated H-index: 11
(UM: University of Montana)
Abstract We used an Optimal Interpolation (OI) scheme to generate a reference crop evapotranspiration ( ET o ) grid, forcing meteorological variables, and their respective error variance in the Iberian Peninsula for the period 1989–2011. To perform the OI we used observational data from the Spanish Meteorological Agency (AEMET) and outputs from a physically-based climate model. To compute ET o we used five OI schemes to generate grids for the five observed climate variables necessary to compute ...
1 Citations Source Cite
Published on Aug 1, 2017in Water Resources Management 2.99
Luis S. Pereira51
Estimated H-index: 51
(University of Lisbon)
Abstract Population growth, increasing demands for food, ever-growing competition for water, reduced supply reliability, climate change and climate uncertainty and droughts, decline in critical ecosystems services, competition for land use, changing regulatory environments, and less participatory water resources governance are contributing to increasing difficulties and challenges in water resource management for agriculture and food. The need for sustainable food security for our global populat...
14 Citations Source Cite