Daily reference evapotranspiration estimates by artificial neural networks technique and empirical equations using limited input climate variables
• Empirical equations of ETo compared to Penman-Monteith method. • ANNs model based on daily meteorological data estimate accurate ETo. • ANNs models estimate with slightly lower accuracy ETo with less input variables. • Different years training datasets give different testing results of ETo....
Ausführliche Beschreibung
Autor*in: |
Antonopoulos, Vassilis Z. [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2017 |
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Schlagwörter: |
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Umfang: |
11 |
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Übergeordnetes Werk: |
Enthalten in: Analytical heat transfer model for coaxial heat exchangers based on varied heat flux with borehole depth - Jia, Linrui ELSEVIER, 2022, COMPAG online : an international journal, Amsterdam [u.a.] |
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Übergeordnetes Werk: |
volume:132 ; year:2017 ; pages:86-96 ; extent:11 |
Links: |
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DOI / URN: |
10.1016/j.compag.2016.11.011 |
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ELV030348684 |
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10.1016/j.compag.2016.11.011 doi GBV00000000000151A.pica (DE-627)ELV030348684 (ELSEVIER)S0168-1699(16)30550-6 DE-627 ger DE-627 rakwb eng 620 630 640 004 620 DE-600 630 DE-600 640 DE-600 004 DE-600 690 VZ 52.43 bkl 52.52 bkl 52.42 bkl 50.38 bkl Antonopoulos, Vassilis Z. verfasserin aut Daily reference evapotranspiration estimates by artificial neural networks technique and empirical equations using limited input climate variables 2017 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Empirical equations of ETo compared to Penman-Monteith method. • ANNs model based on daily meteorological data estimate accurate ETo. • ANNs models estimate with slightly lower accuracy ETo with less input variables. • Different years training datasets give different testing results of ETo. Reference evapotranspiration Elsevier Neural networks Elsevier Empirical equations Elsevier Penman–Monteith method Elsevier Limited weather data Elsevier Antonopoulos, Athanasios V. oth Enthalten in Elsevier Science Jia, Linrui ELSEVIER Analytical heat transfer model for coaxial heat exchangers based on varied heat flux with borehole depth 2022 COMPAG online : an international journal Amsterdam [u.a.] (DE-627)ELV008658315 volume:132 year:2017 pages:86-96 extent:11 https://doi.org/10.1016/j.compag.2016.11.011 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 52.43 Kältetechnik VZ 52.52 Thermische Energieerzeugung Wärmetechnik VZ 52.42 Heizungstechnik Lüftungstechnik Klimatechnik VZ 50.38 Technische Thermodynamik VZ AR 132 2017 86-96 11 045F 620 |
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10.1016/j.compag.2016.11.011 doi GBV00000000000151A.pica (DE-627)ELV030348684 (ELSEVIER)S0168-1699(16)30550-6 DE-627 ger DE-627 rakwb eng 620 630 640 004 620 DE-600 630 DE-600 640 DE-600 004 DE-600 690 VZ 52.43 bkl 52.52 bkl 52.42 bkl 50.38 bkl Antonopoulos, Vassilis Z. verfasserin aut Daily reference evapotranspiration estimates by artificial neural networks technique and empirical equations using limited input climate variables 2017 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Empirical equations of ETo compared to Penman-Monteith method. • ANNs model based on daily meteorological data estimate accurate ETo. • ANNs models estimate with slightly lower accuracy ETo with less input variables. • Different years training datasets give different testing results of ETo. Reference evapotranspiration Elsevier Neural networks Elsevier Empirical equations Elsevier Penman–Monteith method Elsevier Limited weather data Elsevier Antonopoulos, Athanasios V. oth Enthalten in Elsevier Science Jia, Linrui ELSEVIER Analytical heat transfer model for coaxial heat exchangers based on varied heat flux with borehole depth 2022 COMPAG online : an international journal Amsterdam [u.a.] (DE-627)ELV008658315 volume:132 year:2017 pages:86-96 extent:11 https://doi.org/10.1016/j.compag.2016.11.011 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 52.43 Kältetechnik VZ 52.52 Thermische Energieerzeugung Wärmetechnik VZ 52.42 Heizungstechnik Lüftungstechnik Klimatechnik VZ 50.38 Technische Thermodynamik VZ AR 132 2017 86-96 11 045F 620 |
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Daily reference evapotranspiration estimates by artificial neural networks technique and empirical equations using limited input climate variables |
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• Empirical equations of ETo compared to Penman-Monteith method. • ANNs model based on daily meteorological data estimate accurate ETo. • ANNs models estimate with slightly lower accuracy ETo with less input variables. • Different years training datasets give different testing results of ETo. |
abstractGer |
• Empirical equations of ETo compared to Penman-Monteith method. • ANNs model based on daily meteorological data estimate accurate ETo. • ANNs models estimate with slightly lower accuracy ETo with less input variables. • Different years training datasets give different testing results of ETo. |
abstract_unstemmed |
• Empirical equations of ETo compared to Penman-Monteith method. • ANNs model based on daily meteorological data estimate accurate ETo. • ANNs models estimate with slightly lower accuracy ETo with less input variables. • Different years training datasets give different testing results of ETo. |
collection_details |
GBV_USEFLAG_U GBV_ELV SYSFLAG_U |
title_short |
Daily reference evapotranspiration estimates by artificial neural networks technique and empirical equations using limited input climate variables |
url |
https://doi.org/10.1016/j.compag.2016.11.011 |
remote_bool |
true |
author2 |
Antonopoulos, Athanasios V. |
author2Str |
Antonopoulos, Athanasios V. |
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ELV008658315 |
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false |
hochschulschrift_bool |
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author2_role |
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doi_str |
10.1016/j.compag.2016.11.011 |
up_date |
2024-07-06T17:21:20.172Z |
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1803851116233883648 |
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