Comparison of different procedures to map reference evapotranspiration using geographical information systems and regression‐based techniques

Vicente‐Serrano, Sergio M.; Lanjeri, Siham; López‐Moreno, Juan I.

doi:10.1002/joc.1460

Cited by 56 publications

(29 citation statements)

References 73 publications

(74 reference statements)

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“…We demonstrated that the local and spatially complex nature of fogs makes them more difficult to map than other climatic variables such as precipitation and temperature for which it is common to obtain high R 2 values for regression models, usually higher than 0.7 (Ninyerola et al, 2007a(Ninyerola et al, , 2007b. R 2 values higher than 0.7 have been obtained previously for the Aragón region in monthly regression models of precipitation and temperature (Vicente-Serrano et al, 2003;Vicente-Serrano et al, 2007;López-Moreno et al, 2007). In contrast, fog-frequency models for this region yield R 2 values between 0.48 and 0.72 for the winter months, and only consider non-linear relationships by means of GAMs.…”

Section: Discussionmentioning

confidence: 51%

“…Many previous studies have mapped climate parameters such as precipitation (Ninyerola et al, 2000(Ninyerola et al, , 2007aBrown and Comrie, 2002), temperature (Vicente-Serrano et al, 2003;Ninyerola et al, 2007b), evapotranspiration (Martínez-Cob, 1996;Vicente-Serrano et al, 2007), and snow depth (López- Moreno and Nogués-Bravo, 2005). The climate variables that have received the greatest attention are precipitation and temperature, as maps of these variables are of great interest for numerous applications.…”

Section: Introductionmentioning

confidence: 99%

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Comparison of regression techniques for mapping fog frequency: application to the Aragón region (northeast Spain)

Vicente‐Serrano

López‐Moreno

Vega-Rodriguez

et al. 2009

Intl Journal of Climatology

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ABSTRACT:We compare different spatial interpolation techniques in mapping the monthly frequency of fogs in the Aragón region (northeast Spain). The local and spatially complex nature of the fogs makes them more difficult to map than other climatic variables such as precipitation and temperature. We found clear seasonal differences in the quality of the obtained maps. The localized nature of spring and summer fogs, mainly restricted to valley bottoms in mountainous areas, gives rise to several limitations. The modelling of fog frequency is more complex than that of other climate variables; to improve the model predictions, it is necessary to consider topographic variables that simulate the terrain structure. Moreover, the highly complex nature of the relationship between fog frequency and terrain means that simple linear models perform poorly in accounting for the role of geographic and topographic variables in determining the spatial distribution of fog frequency. The inclusion of non-linear relationships between fog frequency and terrain variables in the models following a general additive model (GAM) procedure leads to an improvement in model performance because the flexibility of GAMs enables the inclusion of non-linear relationships and the generation of response-curve shapes that detail the exact relationship between the dependent variable and predictors throughout the entire range of the variable.

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Section: Discussionmentioning

confidence: 51%

Section: Introductionmentioning

confidence: 99%

Comparison of regression techniques for mapping fog frequency: application to the Aragón region (northeast Spain)

Vicente‐Serrano

López‐Moreno

Vega-Rodriguez

et al. 2009

Intl Journal of Climatology

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View full text Add to dashboard Cite

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“…The usefulness of this approach might not be for flat terrain, in which relief does not significantly affect R a . However, in complex terrain, for high-resolution ET o maps used for ecological and water resources management, spatial variations in relief are commonly very important and significantly affect the values of R a estimates because radiation flux are especially dependent on the geometry of terrain [15], and this has a significant effect on local ET o values [45].…”

Section: Discussionmentioning

confidence: 99%

Mapping Precipitation, Temperature, and Evapotranspiration in the Mkomazi River Basin, Tanzania

Mmbando

Kleyer

2018

Climate

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Abstract:It is still a challenge to provide spatially explicit predictions of climate parameters in African regions of complex relief, where meteorological information is scarce. Here we predict rainfall, temperature, and reference evapotranspiration (ET o ) for the southern Mkomazi River Basin in Northeastern Tanzania, East Africa, by means of regression-based, digital elevation models (DEM) at 90 m spatial-resolution and geographic information systems (GIS) techniques. We mapped rainfall for the period 1964-2010. The models accounted for orographic factors which strongly influenced the spatial variability of rainfall in the region. According to orography, the area was divided into three zones for modelling rainfall: windward, leeward, and transition zone. Rainfall indicates high spatial and temporal variability dominated by equatorial East-African climate circulation systems. Maximum and minimum temperatures were modelled for the period 1989-1994, the models accounted only for the altitude gradient. Mean temperature was calculated by arithmetic mean of maximum and minimum temperatures maps in ArcGIS. ET o was estimated in ArcGIS following the method described by Hargreaves and Samani. The maps were made on a monthly basis for rainfall, ET o , and mean, maximum, and minimum temperatures. The obtained maps are useful for the purpose of agriculture, ecological, and water resources management.

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“…Then, T mean was spatially modelled based on MLR relationships for each month. The main advantage of this technique is that maps are compiled not only from information from various weather stations, but also from auxiliary information that describes geographic and topographic variables; this improves the accuracy and spatial detail of the resulting maps (Vicente-Serrano et al 2007). …”

Section: Spatial Distribution Of Etmentioning

confidence: 99%

“…The results indicated that the FAO-Penman equation was the best model to estimate ET 0 , and the spatially-modelled ET 0 values (R 2 = 0.88) were in agreement with the corresponding in situ data. Vicente-Serrano et al (2007) compared different procedures for mapping the Hargreaves model ET 0 by means of regressionbased techniques and GIS in the northernmost semiarid region of Europe, the Ebro Valley. They calculated the extra-terrestrial radiation (R a ) parameter using two approaches: (a) determination of R a as a function of latitude; and (b) estimation of the parameter using a digital terrain model (DTM) and GIS modelling.…”

Section: Introductionmentioning

confidence: 99%

Spatial modelling of reference evapotranspiration using adjusted Blaney-Criddle equation in an arid environment

Tabari

Talaee

Some’e

2013

Hydrological Sciences Journal

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The Blaney-Criddle (BC) temperature-based equation is used in areas where the complete weather data to estimate reference evapotranspiration (ET 0 ) by the Penman-Monteith FAO-56 (PMF-56) standard model is complex. In this study, the BC equation was first tested and calibrated against the ET 0 values computed by the PMF-56 method using data from 17 weather stations in arid regions of Iran. Then, geographical information systems (GIS)-based spatially-distributed maps of ET 0 were prepared by means of geographic/topographic factors derived from a digital elevation model (DEM) for all months, separately. The results indicate that the original BC equation overestimated PMF-56 ET 0 by 4% at the study sites. The BC equation produced closer ET 0 estimates to the PMF-56 method after it was calibrated. The error rate of <3% for the spatial modelling approach suggests that the developed ET 0 maps are reliable.Key words evapotranspiration; mapping; temperature-based model; calibration; GIS Modélisation spatiale de l'évapotranspiration de référence ajustée en utilisant l'équation de Blaney-Criddle dans un environnement aride Résumé L'équation de Blaney-Criddle (BC) basée sur la température est utilisée dans les zones où les données météorologiques complètes pour estimer l'évapotranspiration de référence (ET 0 ) par le modèle standard de Penman-Monteith FAO-56 (PMF-56) sont complexes. Dans cette étude, l'équation de BC a d'abord été testée et calée par rapport aux valeurs de ET 0 calculées par la méthode PMF-56 en utilisant des données provenant de 17 stations météorologiques de régions arides d'Iran. Ensuite, des cartes de la distribution spatiale de ET 0 ont été établies séparément pour chaque mois dans des systèmes d'information géographique (SIG) au moyen de facteurs géographiques et topographiques issus d'un modèle numérique de terrain. Les résultats indiquent que l'équation originale de BC surestime l'ET 0 de PMF-56 de 4% pour les sites étudiés. Après étalonnage, l'équation de BC fournit des estimations d'ET 0 plus proches de celles de la méthode PMF-56. Une erreur <3% pour l'approche de modélisation spatiale suggère que les cartes d'ET 0 établies sont fiables.Mots clefs évapotranspiration; cartographie; modèle basé sur la température; étalonnage; SIG

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Comparison of different procedures to map reference evapotranspiration using geographical information systems and regression‐based techniques

Cited by 56 publications

References 73 publications

Comparison of regression techniques for mapping fog frequency: application to the Aragón region (northeast Spain)

Comparison of regression techniques for mapping fog frequency: application to the Aragón region (northeast Spain)

Mapping Precipitation, Temperature, and Evapotranspiration in the Mkomazi River Basin, Tanzania

Spatial modelling of reference evapotranspiration using adjusted Blaney-Criddle equation in an arid environment

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