Joint multifractal analysis of air temperature, relative humidity and reference evapotranspiration in the middle zone of the Guadalquivir river valley
Previous works have analysed the relationship existing between reference evapotranspiration (ET0 ) and other climatic variables under a one-at-a-time perturbation condition. However, due to the physical relationships between these climatic variables is advisable to study their joint in...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Ariza-Villaverde, A.B. [verfasserIn] Pavón-Domínguez, P. [verfasserIn] Carmona-Cabezas, R. [verfasserIn] de Ravé, E. Gutiérrez [verfasserIn] Jiménez-Hornero, F.J. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2019 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Agricultural and forest meteorology - Amsterdam [u.a.] : Elsevier, 1984, 278 |
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| Übergeordnetes Werk: |
volume:278 |
| DOI / URN: |
10.1016/j.agrformet.2019.107657 |
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ELV002800535 |
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| 245 | 1 | 0 | |a Joint multifractal analysis of air temperature, relative humidity and reference evapotranspiration in the middle zone of the Guadalquivir river valley |
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| 520 | |a Previous works have analysed the relationship existing between reference evapotranspiration (ET0 ) and other climatic variables under a one-at-a-time perturbation condition. However, due to the physical relationships between these climatic variables is advisable to study their joint influence on ET0 . The box-counting joint multifractal algorithm describes the relations between variables using relevant information extracted from the data singularities. This work investigated the use of this algorithm to describe the simultaneous behaviour of ET0 , calculated by means of Penman–Monteith (PM) equation, and the two main climatic variables, relative humidity (RH) and air temperature (T), influencing on it in the middle zone of the Guadalquivir river valley, Andalusia, southern Spain. The studied cases were grouped according to the fractal dimension values, obtained from the global multifractal analysis, which were related to their probability of occurrence. The most likely cases were linked to smooth behaviour and weak dependence between variables, both circumstances were detected in the local multifractal analysis. For these cases, the rest of Penman Monteith (PM) equation variables, neither the T nor the RH, seemed to influence on ET0 determination, especially when low T values were involved. By contrast, the least frequent cases were those with variables showing high fluctuations and strong relationship between them. In these situations, when T is low, the ET0 is affected by the rest of PM equation variables. This fact confirmed T as main driver of ET0 because the higher T values the lesser influence of other climate variables on ET0 . This condition could not be extended to RH because the variability in ET0 singularities was not significantly influenced by low or high values of this variable. These results show that the joint multifractal analysis can be regarded as a suitable tool for describing the complex relationship between ET0 , T and RH, providing additional information to that derived from descriptive statistics. | ||
| 650 | 4 | |a Joint multifractal analysis | |
| 650 | 4 | |a Reference evapotranspiration | |
| 650 | 4 | |a Air temperature | |
| 650 | 4 | |a Relative humidity | |
| 650 | 4 | |a Data singularities | |
| 650 | 4 | |a Fractal dimensions | |
| 700 | 1 | |a Pavón-Domínguez, P. |e verfasserin |0 (orcid)0000-0002-2913-6492 |4 aut | |
| 700 | 1 | |a Carmona-Cabezas, R. |e verfasserin |0 (orcid)0000-0001-8324-4489 |4 aut | |
| 700 | 1 | |a de Ravé, E. Gutiérrez |e verfasserin |0 (orcid)0000-0002-2091-6708 |4 aut | |
| 700 | 1 | |a Jiménez-Hornero, F.J. |e verfasserin |0 (orcid)0000-0003-4498-8797 |4 aut | |
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10.1016/j.agrformet.2019.107657 doi (DE-627)ELV002800535 (ELSEVIER)S0168-1923(19)30265-5 DE-627 ger DE-627 rda eng 630 640 550 DE-600 38.84 bkl 48.99 bkl Ariza-Villaverde, A.B. verfasserin (orcid)0000-0002-8549-2774 aut Joint multifractal analysis of air temperature, relative humidity and reference evapotranspiration in the middle zone of the Guadalquivir river valley 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Previous works have analysed the relationship existing between reference evapotranspiration (ET0 ) and other climatic variables under a one-at-a-time perturbation condition. However, due to the physical relationships between these climatic variables is advisable to study their joint influence on ET0 . The box-counting joint multifractal algorithm describes the relations between variables using relevant information extracted from the data singularities. This work investigated the use of this algorithm to describe the simultaneous behaviour of ET0 , calculated by means of Penman–Monteith (PM) equation, and the two main climatic variables, relative humidity (RH) and air temperature (T), influencing on it in the middle zone of the Guadalquivir river valley, Andalusia, southern Spain. The studied cases were grouped according to the fractal dimension values, obtained from the global multifractal analysis, which were related to their probability of occurrence. The most likely cases were linked to smooth behaviour and weak dependence between variables, both circumstances were detected in the local multifractal analysis. For these cases, the rest of Penman Monteith (PM) equation variables, neither the T nor the RH, seemed to influence on ET0 determination, especially when low T values were involved. By contrast, the least frequent cases were those with variables showing high fluctuations and strong relationship between them. In these situations, when T is low, the ET0 is affected by the rest of PM equation variables. This fact confirmed T as main driver of ET0 because the higher T values the lesser influence of other climate variables on ET0 . This condition could not be extended to RH because the variability in ET0 singularities was not significantly influenced by low or high values of this variable. These results show that the joint multifractal analysis can be regarded as a suitable tool for describing the complex relationship between ET0 , T and RH, providing additional information to that derived from descriptive statistics. Joint multifractal analysis Reference evapotranspiration Air temperature Relative humidity Data singularities Fractal dimensions Pavón-Domínguez, P. verfasserin (orcid)0000-0002-2913-6492 aut Carmona-Cabezas, R. verfasserin (orcid)0000-0001-8324-4489 aut de Ravé, E. Gutiérrez verfasserin (orcid)0000-0002-2091-6708 aut Jiménez-Hornero, F.J. verfasserin (orcid)0000-0003-4498-8797 aut Enthalten in Agricultural and forest meteorology Amsterdam [u.a.] : Elsevier, 1984 278 Online-Ressource (DE-627)320500608 (DE-600)2012165-9 (DE-576)094504067 1873-2240 nnns volume:278 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OPC-GGO SSG-OPC-FOR GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 38.84 Meteorologie: Sonstiges 48.99 Land- und Forstwirtschaft: Sonstiges AR 278 |
| spelling |
10.1016/j.agrformet.2019.107657 doi (DE-627)ELV002800535 (ELSEVIER)S0168-1923(19)30265-5 DE-627 ger DE-627 rda eng 630 640 550 DE-600 38.84 bkl 48.99 bkl Ariza-Villaverde, A.B. verfasserin (orcid)0000-0002-8549-2774 aut Joint multifractal analysis of air temperature, relative humidity and reference evapotranspiration in the middle zone of the Guadalquivir river valley 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Previous works have analysed the relationship existing between reference evapotranspiration (ET0 ) and other climatic variables under a one-at-a-time perturbation condition. However, due to the physical relationships between these climatic variables is advisable to study their joint influence on ET0 . The box-counting joint multifractal algorithm describes the relations between variables using relevant information extracted from the data singularities. This work investigated the use of this algorithm to describe the simultaneous behaviour of ET0 , calculated by means of Penman–Monteith (PM) equation, and the two main climatic variables, relative humidity (RH) and air temperature (T), influencing on it in the middle zone of the Guadalquivir river valley, Andalusia, southern Spain. The studied cases were grouped according to the fractal dimension values, obtained from the global multifractal analysis, which were related to their probability of occurrence. The most likely cases were linked to smooth behaviour and weak dependence between variables, both circumstances were detected in the local multifractal analysis. For these cases, the rest of Penman Monteith (PM) equation variables, neither the T nor the RH, seemed to influence on ET0 determination, especially when low T values were involved. By contrast, the least frequent cases were those with variables showing high fluctuations and strong relationship between them. In these situations, when T is low, the ET0 is affected by the rest of PM equation variables. This fact confirmed T as main driver of ET0 because the higher T values the lesser influence of other climate variables on ET0 . This condition could not be extended to RH because the variability in ET0 singularities was not significantly influenced by low or high values of this variable. These results show that the joint multifractal analysis can be regarded as a suitable tool for describing the complex relationship between ET0 , T and RH, providing additional information to that derived from descriptive statistics. Joint multifractal analysis Reference evapotranspiration Air temperature Relative humidity Data singularities Fractal dimensions Pavón-Domínguez, P. verfasserin (orcid)0000-0002-2913-6492 aut Carmona-Cabezas, R. verfasserin (orcid)0000-0001-8324-4489 aut de Ravé, E. Gutiérrez verfasserin (orcid)0000-0002-2091-6708 aut Jiménez-Hornero, F.J. verfasserin (orcid)0000-0003-4498-8797 aut Enthalten in Agricultural and forest meteorology Amsterdam [u.a.] : Elsevier, 1984 278 Online-Ressource (DE-627)320500608 (DE-600)2012165-9 (DE-576)094504067 1873-2240 nnns volume:278 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OPC-GGO SSG-OPC-FOR GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 38.84 Meteorologie: Sonstiges 48.99 Land- und Forstwirtschaft: Sonstiges AR 278 |
| allfields_unstemmed |
10.1016/j.agrformet.2019.107657 doi (DE-627)ELV002800535 (ELSEVIER)S0168-1923(19)30265-5 DE-627 ger DE-627 rda eng 630 640 550 DE-600 38.84 bkl 48.99 bkl Ariza-Villaverde, A.B. verfasserin (orcid)0000-0002-8549-2774 aut Joint multifractal analysis of air temperature, relative humidity and reference evapotranspiration in the middle zone of the Guadalquivir river valley 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Previous works have analysed the relationship existing between reference evapotranspiration (ET0 ) and other climatic variables under a one-at-a-time perturbation condition. However, due to the physical relationships between these climatic variables is advisable to study their joint influence on ET0 . The box-counting joint multifractal algorithm describes the relations between variables using relevant information extracted from the data singularities. This work investigated the use of this algorithm to describe the simultaneous behaviour of ET0 , calculated by means of Penman–Monteith (PM) equation, and the two main climatic variables, relative humidity (RH) and air temperature (T), influencing on it in the middle zone of the Guadalquivir river valley, Andalusia, southern Spain. The studied cases were grouped according to the fractal dimension values, obtained from the global multifractal analysis, which were related to their probability of occurrence. The most likely cases were linked to smooth behaviour and weak dependence between variables, both circumstances were detected in the local multifractal analysis. For these cases, the rest of Penman Monteith (PM) equation variables, neither the T nor the RH, seemed to influence on ET0 determination, especially when low T values were involved. By contrast, the least frequent cases were those with variables showing high fluctuations and strong relationship between them. In these situations, when T is low, the ET0 is affected by the rest of PM equation variables. This fact confirmed T as main driver of ET0 because the higher T values the lesser influence of other climate variables on ET0 . This condition could not be extended to RH because the variability in ET0 singularities was not significantly influenced by low or high values of this variable. These results show that the joint multifractal analysis can be regarded as a suitable tool for describing the complex relationship between ET0 , T and RH, providing additional information to that derived from descriptive statistics. Joint multifractal analysis Reference evapotranspiration Air temperature Relative humidity Data singularities Fractal dimensions Pavón-Domínguez, P. verfasserin (orcid)0000-0002-2913-6492 aut Carmona-Cabezas, R. verfasserin (orcid)0000-0001-8324-4489 aut de Ravé, E. Gutiérrez verfasserin (orcid)0000-0002-2091-6708 aut Jiménez-Hornero, F.J. verfasserin (orcid)0000-0003-4498-8797 aut Enthalten in Agricultural and forest meteorology Amsterdam [u.a.] : Elsevier, 1984 278 Online-Ressource (DE-627)320500608 (DE-600)2012165-9 (DE-576)094504067 1873-2240 nnns volume:278 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OPC-GGO SSG-OPC-FOR GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 38.84 Meteorologie: Sonstiges 48.99 Land- und Forstwirtschaft: Sonstiges AR 278 |
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10.1016/j.agrformet.2019.107657 doi (DE-627)ELV002800535 (ELSEVIER)S0168-1923(19)30265-5 DE-627 ger DE-627 rda eng 630 640 550 DE-600 38.84 bkl 48.99 bkl Ariza-Villaverde, A.B. verfasserin (orcid)0000-0002-8549-2774 aut Joint multifractal analysis of air temperature, relative humidity and reference evapotranspiration in the middle zone of the Guadalquivir river valley 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Previous works have analysed the relationship existing between reference evapotranspiration (ET0 ) and other climatic variables under a one-at-a-time perturbation condition. However, due to the physical relationships between these climatic variables is advisable to study their joint influence on ET0 . The box-counting joint multifractal algorithm describes the relations between variables using relevant information extracted from the data singularities. This work investigated the use of this algorithm to describe the simultaneous behaviour of ET0 , calculated by means of Penman–Monteith (PM) equation, and the two main climatic variables, relative humidity (RH) and air temperature (T), influencing on it in the middle zone of the Guadalquivir river valley, Andalusia, southern Spain. The studied cases were grouped according to the fractal dimension values, obtained from the global multifractal analysis, which were related to their probability of occurrence. The most likely cases were linked to smooth behaviour and weak dependence between variables, both circumstances were detected in the local multifractal analysis. For these cases, the rest of Penman Monteith (PM) equation variables, neither the T nor the RH, seemed to influence on ET0 determination, especially when low T values were involved. By contrast, the least frequent cases were those with variables showing high fluctuations and strong relationship between them. In these situations, when T is low, the ET0 is affected by the rest of PM equation variables. This fact confirmed T as main driver of ET0 because the higher T values the lesser influence of other climate variables on ET0 . This condition could not be extended to RH because the variability in ET0 singularities was not significantly influenced by low or high values of this variable. These results show that the joint multifractal analysis can be regarded as a suitable tool for describing the complex relationship between ET0 , T and RH, providing additional information to that derived from descriptive statistics. Joint multifractal analysis Reference evapotranspiration Air temperature Relative humidity Data singularities Fractal dimensions Pavón-Domínguez, P. verfasserin (orcid)0000-0002-2913-6492 aut Carmona-Cabezas, R. verfasserin (orcid)0000-0001-8324-4489 aut de Ravé, E. Gutiérrez verfasserin (orcid)0000-0002-2091-6708 aut Jiménez-Hornero, F.J. verfasserin (orcid)0000-0003-4498-8797 aut Enthalten in Agricultural and forest meteorology Amsterdam [u.a.] : Elsevier, 1984 278 Online-Ressource (DE-627)320500608 (DE-600)2012165-9 (DE-576)094504067 1873-2240 nnns volume:278 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OPC-GGO SSG-OPC-FOR GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 38.84 Meteorologie: Sonstiges 48.99 Land- und Forstwirtschaft: Sonstiges AR 278 |
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10.1016/j.agrformet.2019.107657 doi (DE-627)ELV002800535 (ELSEVIER)S0168-1923(19)30265-5 DE-627 ger DE-627 rda eng 630 640 550 DE-600 38.84 bkl 48.99 bkl Ariza-Villaverde, A.B. verfasserin (orcid)0000-0002-8549-2774 aut Joint multifractal analysis of air temperature, relative humidity and reference evapotranspiration in the middle zone of the Guadalquivir river valley 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Previous works have analysed the relationship existing between reference evapotranspiration (ET0 ) and other climatic variables under a one-at-a-time perturbation condition. However, due to the physical relationships between these climatic variables is advisable to study their joint influence on ET0 . The box-counting joint multifractal algorithm describes the relations between variables using relevant information extracted from the data singularities. This work investigated the use of this algorithm to describe the simultaneous behaviour of ET0 , calculated by means of Penman–Monteith (PM) equation, and the two main climatic variables, relative humidity (RH) and air temperature (T), influencing on it in the middle zone of the Guadalquivir river valley, Andalusia, southern Spain. The studied cases were grouped according to the fractal dimension values, obtained from the global multifractal analysis, which were related to their probability of occurrence. The most likely cases were linked to smooth behaviour and weak dependence between variables, both circumstances were detected in the local multifractal analysis. For these cases, the rest of Penman Monteith (PM) equation variables, neither the T nor the RH, seemed to influence on ET0 determination, especially when low T values were involved. By contrast, the least frequent cases were those with variables showing high fluctuations and strong relationship between them. In these situations, when T is low, the ET0 is affected by the rest of PM equation variables. This fact confirmed T as main driver of ET0 because the higher T values the lesser influence of other climate variables on ET0 . This condition could not be extended to RH because the variability in ET0 singularities was not significantly influenced by low or high values of this variable. These results show that the joint multifractal analysis can be regarded as a suitable tool for describing the complex relationship between ET0 , T and RH, providing additional information to that derived from descriptive statistics. Joint multifractal analysis Reference evapotranspiration Air temperature Relative humidity Data singularities Fractal dimensions Pavón-Domínguez, P. verfasserin (orcid)0000-0002-2913-6492 aut Carmona-Cabezas, R. verfasserin (orcid)0000-0001-8324-4489 aut de Ravé, E. Gutiérrez verfasserin (orcid)0000-0002-2091-6708 aut Jiménez-Hornero, F.J. verfasserin (orcid)0000-0003-4498-8797 aut Enthalten in Agricultural and forest meteorology Amsterdam [u.a.] : Elsevier, 1984 278 Online-Ressource (DE-627)320500608 (DE-600)2012165-9 (DE-576)094504067 1873-2240 nnns volume:278 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OPC-GGO SSG-OPC-FOR GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 38.84 Meteorologie: Sonstiges 48.99 Land- und Forstwirtschaft: Sonstiges AR 278 |
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Enthalten in Agricultural and forest meteorology 278 volume:278 |
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Enthalten in Agricultural and forest meteorology 278 volume:278 |
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Meteorologie: Sonstiges Land- und Forstwirtschaft: Sonstiges |
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Joint multifractal analysis Reference evapotranspiration Air temperature Relative humidity Data singularities Fractal dimensions |
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Agricultural and forest meteorology |
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Ariza-Villaverde, A.B. @@aut@@ Pavón-Domínguez, P. @@aut@@ Carmona-Cabezas, R. @@aut@@ de Ravé, E. Gutiérrez @@aut@@ Jiménez-Hornero, F.J. @@aut@@ |
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2019-01-01T00:00:00Z |
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Ariza-Villaverde, A.B. |
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Ariza-Villaverde, A.B. ddc 630 bkl 38.84 bkl 48.99 misc Joint multifractal analysis misc Reference evapotranspiration misc Air temperature misc Relative humidity misc Data singularities misc Fractal dimensions Joint multifractal analysis of air temperature, relative humidity and reference evapotranspiration in the middle zone of the Guadalquivir river valley |
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Joint multifractal analysis of air temperature, relative humidity and reference evapotranspiration in the middle zone of the Guadalquivir river valley |
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joint multifractal analysis of air temperature, relative humidity and reference evapotranspiration in the middle zone of the guadalquivir river valley |
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Joint multifractal analysis of air temperature, relative humidity and reference evapotranspiration in the middle zone of the Guadalquivir river valley |
| abstract |
Previous works have analysed the relationship existing between reference evapotranspiration (ET0 ) and other climatic variables under a one-at-a-time perturbation condition. However, due to the physical relationships between these climatic variables is advisable to study their joint influence on ET0 . The box-counting joint multifractal algorithm describes the relations between variables using relevant information extracted from the data singularities. This work investigated the use of this algorithm to describe the simultaneous behaviour of ET0 , calculated by means of Penman–Monteith (PM) equation, and the two main climatic variables, relative humidity (RH) and air temperature (T), influencing on it in the middle zone of the Guadalquivir river valley, Andalusia, southern Spain. The studied cases were grouped according to the fractal dimension values, obtained from the global multifractal analysis, which were related to their probability of occurrence. The most likely cases were linked to smooth behaviour and weak dependence between variables, both circumstances were detected in the local multifractal analysis. For these cases, the rest of Penman Monteith (PM) equation variables, neither the T nor the RH, seemed to influence on ET0 determination, especially when low T values were involved. By contrast, the least frequent cases were those with variables showing high fluctuations and strong relationship between them. In these situations, when T is low, the ET0 is affected by the rest of PM equation variables. This fact confirmed T as main driver of ET0 because the higher T values the lesser influence of other climate variables on ET0 . This condition could not be extended to RH because the variability in ET0 singularities was not significantly influenced by low or high values of this variable. These results show that the joint multifractal analysis can be regarded as a suitable tool for describing the complex relationship between ET0 , T and RH, providing additional information to that derived from descriptive statistics. |
| abstractGer |
Previous works have analysed the relationship existing between reference evapotranspiration (ET0 ) and other climatic variables under a one-at-a-time perturbation condition. However, due to the physical relationships between these climatic variables is advisable to study their joint influence on ET0 . The box-counting joint multifractal algorithm describes the relations between variables using relevant information extracted from the data singularities. This work investigated the use of this algorithm to describe the simultaneous behaviour of ET0 , calculated by means of Penman–Monteith (PM) equation, and the two main climatic variables, relative humidity (RH) and air temperature (T), influencing on it in the middle zone of the Guadalquivir river valley, Andalusia, southern Spain. The studied cases were grouped according to the fractal dimension values, obtained from the global multifractal analysis, which were related to their probability of occurrence. The most likely cases were linked to smooth behaviour and weak dependence between variables, both circumstances were detected in the local multifractal analysis. For these cases, the rest of Penman Monteith (PM) equation variables, neither the T nor the RH, seemed to influence on ET0 determination, especially when low T values were involved. By contrast, the least frequent cases were those with variables showing high fluctuations and strong relationship between them. In these situations, when T is low, the ET0 is affected by the rest of PM equation variables. This fact confirmed T as main driver of ET0 because the higher T values the lesser influence of other climate variables on ET0 . This condition could not be extended to RH because the variability in ET0 singularities was not significantly influenced by low or high values of this variable. These results show that the joint multifractal analysis can be regarded as a suitable tool for describing the complex relationship between ET0 , T and RH, providing additional information to that derived from descriptive statistics. |
| abstract_unstemmed |
Previous works have analysed the relationship existing between reference evapotranspiration (ET0 ) and other climatic variables under a one-at-a-time perturbation condition. However, due to the physical relationships between these climatic variables is advisable to study their joint influence on ET0 . The box-counting joint multifractal algorithm describes the relations between variables using relevant information extracted from the data singularities. This work investigated the use of this algorithm to describe the simultaneous behaviour of ET0 , calculated by means of Penman–Monteith (PM) equation, and the two main climatic variables, relative humidity (RH) and air temperature (T), influencing on it in the middle zone of the Guadalquivir river valley, Andalusia, southern Spain. The studied cases were grouped according to the fractal dimension values, obtained from the global multifractal analysis, which were related to their probability of occurrence. The most likely cases were linked to smooth behaviour and weak dependence between variables, both circumstances were detected in the local multifractal analysis. For these cases, the rest of Penman Monteith (PM) equation variables, neither the T nor the RH, seemed to influence on ET0 determination, especially when low T values were involved. By contrast, the least frequent cases were those with variables showing high fluctuations and strong relationship between them. In these situations, when T is low, the ET0 is affected by the rest of PM equation variables. This fact confirmed T as main driver of ET0 because the higher T values the lesser influence of other climate variables on ET0 . This condition could not be extended to RH because the variability in ET0 singularities was not significantly influenced by low or high values of this variable. These results show that the joint multifractal analysis can be regarded as a suitable tool for describing the complex relationship between ET0 , T and RH, providing additional information to that derived from descriptive statistics. |
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| score |
7.4009485 |