Assessment of input uncertainty by seasonally categorized latent variables using SWAT
• Input uncertainty was incorporated by seasonally categorized latent variables (SC-LV). • SC-LV incorporation provided better statistics than default settings without seasonality. • Behavior definitions were implemented to further substantiate superiority of SC-LA. • Advanced definitions of Dry/Wet...
Ausführliche Beschreibung
Autor*in: |
Yen, Haw [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2015 |
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Schlagwörter: |
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Umfang: |
11 |
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Übergeordnetes Werk: |
Enthalten in: Neighborhood resources associated with frailty trajectories over time among community-dwelling older adults in China - Liu, Huiying ELSEVIER, 2021, Amsterdam [u.a.] |
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Übergeordnetes Werk: |
volume:531 ; year:2015 ; pages:685-695 ; extent:11 |
Links: |
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DOI / URN: |
10.1016/j.jhydrol.2015.10.058 |
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Katalog-ID: |
ELV024014257 |
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10.1016/j.jhydrol.2015.10.058 doi GBVA2015022000017.pica (DE-627)ELV024014257 (ELSEVIER)S0022-1694(15)00841-0 DE-627 ger DE-627 rakwb eng 690 690 DE-600 610 VZ 74.00 bkl 44.73 bkl Yen, Haw verfasserin aut Assessment of input uncertainty by seasonally categorized latent variables using SWAT 2015 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Input uncertainty was incorporated by seasonally categorized latent variables (SC-LV). • SC-LV incorporation provided better statistics than default settings without seasonality. • Behavior definitions were implemented to further substantiate superiority of SC-LA. • Advanced definitions of Dry/Wet seasonality may further refine model predictions. • Future watershed modeling should incorporate SC-LV to improve model predictions. SWAT Elsevier Model calibration Elsevier Input uncertainty Elsevier Latent variables Elsevier IPEAT Elsevier Su, Yu-Wen oth Wolfe, June E. oth Chen, Shien-Tsung oth Hsu, Yu-Chao oth Tseng, Wen-Hsiao oth Brady, Dawn M. oth Jeong, Jaehak oth Arnold, Jeffrey G. oth Enthalten in Elsevier Liu, Huiying ELSEVIER Neighborhood resources associated with frailty trajectories over time among community-dwelling older adults in China 2021 Amsterdam [u.a.] (DE-627)ELV007566492 volume:531 year:2015 pages:685-695 extent:11 https://doi.org/10.1016/j.jhydrol.2015.10.058 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA SSG-OPC-GGO 74.00 Geographie Anthropogeographie: Allgemeines VZ 44.73 Geomedizin VZ AR 531 2015 685-695 11 045F 690 |
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10.1016/j.jhydrol.2015.10.058 doi GBVA2015022000017.pica (DE-627)ELV024014257 (ELSEVIER)S0022-1694(15)00841-0 DE-627 ger DE-627 rakwb eng 690 690 DE-600 610 VZ 74.00 bkl 44.73 bkl Yen, Haw verfasserin aut Assessment of input uncertainty by seasonally categorized latent variables using SWAT 2015 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Input uncertainty was incorporated by seasonally categorized latent variables (SC-LV). • SC-LV incorporation provided better statistics than default settings without seasonality. • Behavior definitions were implemented to further substantiate superiority of SC-LA. • Advanced definitions of Dry/Wet seasonality may further refine model predictions. • Future watershed modeling should incorporate SC-LV to improve model predictions. SWAT Elsevier Model calibration Elsevier Input uncertainty Elsevier Latent variables Elsevier IPEAT Elsevier Su, Yu-Wen oth Wolfe, June E. oth Chen, Shien-Tsung oth Hsu, Yu-Chao oth Tseng, Wen-Hsiao oth Brady, Dawn M. oth Jeong, Jaehak oth Arnold, Jeffrey G. oth Enthalten in Elsevier Liu, Huiying ELSEVIER Neighborhood resources associated with frailty trajectories over time among community-dwelling older adults in China 2021 Amsterdam [u.a.] (DE-627)ELV007566492 volume:531 year:2015 pages:685-695 extent:11 https://doi.org/10.1016/j.jhydrol.2015.10.058 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA SSG-OPC-GGO 74.00 Geographie Anthropogeographie: Allgemeines VZ 44.73 Geomedizin VZ AR 531 2015 685-695 11 045F 690 |
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10.1016/j.jhydrol.2015.10.058 doi GBVA2015022000017.pica (DE-627)ELV024014257 (ELSEVIER)S0022-1694(15)00841-0 DE-627 ger DE-627 rakwb eng 690 690 DE-600 610 VZ 74.00 bkl 44.73 bkl Yen, Haw verfasserin aut Assessment of input uncertainty by seasonally categorized latent variables using SWAT 2015 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Input uncertainty was incorporated by seasonally categorized latent variables (SC-LV). • SC-LV incorporation provided better statistics than default settings without seasonality. • Behavior definitions were implemented to further substantiate superiority of SC-LA. • Advanced definitions of Dry/Wet seasonality may further refine model predictions. • Future watershed modeling should incorporate SC-LV to improve model predictions. SWAT Elsevier Model calibration Elsevier Input uncertainty Elsevier Latent variables Elsevier IPEAT Elsevier Su, Yu-Wen oth Wolfe, June E. oth Chen, Shien-Tsung oth Hsu, Yu-Chao oth Tseng, Wen-Hsiao oth Brady, Dawn M. oth Jeong, Jaehak oth Arnold, Jeffrey G. oth Enthalten in Elsevier Liu, Huiying ELSEVIER Neighborhood resources associated with frailty trajectories over time among community-dwelling older adults in China 2021 Amsterdam [u.a.] (DE-627)ELV007566492 volume:531 year:2015 pages:685-695 extent:11 https://doi.org/10.1016/j.jhydrol.2015.10.058 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA SSG-OPC-GGO 74.00 Geographie Anthropogeographie: Allgemeines VZ 44.73 Geomedizin VZ AR 531 2015 685-695 11 045F 690 |
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10.1016/j.jhydrol.2015.10.058 doi GBVA2015022000017.pica (DE-627)ELV024014257 (ELSEVIER)S0022-1694(15)00841-0 DE-627 ger DE-627 rakwb eng 690 690 DE-600 610 VZ 74.00 bkl 44.73 bkl Yen, Haw verfasserin aut Assessment of input uncertainty by seasonally categorized latent variables using SWAT 2015 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Input uncertainty was incorporated by seasonally categorized latent variables (SC-LV). • SC-LV incorporation provided better statistics than default settings without seasonality. • Behavior definitions were implemented to further substantiate superiority of SC-LA. • Advanced definitions of Dry/Wet seasonality may further refine model predictions. • Future watershed modeling should incorporate SC-LV to improve model predictions. SWAT Elsevier Model calibration Elsevier Input uncertainty Elsevier Latent variables Elsevier IPEAT Elsevier Su, Yu-Wen oth Wolfe, June E. oth Chen, Shien-Tsung oth Hsu, Yu-Chao oth Tseng, Wen-Hsiao oth Brady, Dawn M. oth Jeong, Jaehak oth Arnold, Jeffrey G. oth Enthalten in Elsevier Liu, Huiying ELSEVIER Neighborhood resources associated with frailty trajectories over time among community-dwelling older adults in China 2021 Amsterdam [u.a.] (DE-627)ELV007566492 volume:531 year:2015 pages:685-695 extent:11 https://doi.org/10.1016/j.jhydrol.2015.10.058 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA SSG-OPC-GGO 74.00 Geographie Anthropogeographie: Allgemeines VZ 44.73 Geomedizin VZ AR 531 2015 685-695 11 045F 690 |
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10.1016/j.jhydrol.2015.10.058 doi GBVA2015022000017.pica (DE-627)ELV024014257 (ELSEVIER)S0022-1694(15)00841-0 DE-627 ger DE-627 rakwb eng 690 690 DE-600 610 VZ 74.00 bkl 44.73 bkl Yen, Haw verfasserin aut Assessment of input uncertainty by seasonally categorized latent variables using SWAT 2015 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Input uncertainty was incorporated by seasonally categorized latent variables (SC-LV). • SC-LV incorporation provided better statistics than default settings without seasonality. • Behavior definitions were implemented to further substantiate superiority of SC-LA. • Advanced definitions of Dry/Wet seasonality may further refine model predictions. • Future watershed modeling should incorporate SC-LV to improve model predictions. SWAT Elsevier Model calibration Elsevier Input uncertainty Elsevier Latent variables Elsevier IPEAT Elsevier Su, Yu-Wen oth Wolfe, June E. oth Chen, Shien-Tsung oth Hsu, Yu-Chao oth Tseng, Wen-Hsiao oth Brady, Dawn M. oth Jeong, Jaehak oth Arnold, Jeffrey G. oth Enthalten in Elsevier Liu, Huiying ELSEVIER Neighborhood resources associated with frailty trajectories over time among community-dwelling older adults in China 2021 Amsterdam [u.a.] (DE-627)ELV007566492 volume:531 year:2015 pages:685-695 extent:11 https://doi.org/10.1016/j.jhydrol.2015.10.058 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA SSG-OPC-GGO 74.00 Geographie Anthropogeographie: Allgemeines VZ 44.73 Geomedizin VZ AR 531 2015 685-695 11 045F 690 |
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• Input uncertainty was incorporated by seasonally categorized latent variables (SC-LV). • SC-LV incorporation provided better statistics than default settings without seasonality. • Behavior definitions were implemented to further substantiate superiority of SC-LA. • Advanced definitions of Dry/Wet seasonality may further refine model predictions. • Future watershed modeling should incorporate SC-LV to improve model predictions. |
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• Input uncertainty was incorporated by seasonally categorized latent variables (SC-LV). • SC-LV incorporation provided better statistics than default settings without seasonality. • Behavior definitions were implemented to further substantiate superiority of SC-LA. • Advanced definitions of Dry/Wet seasonality may further refine model predictions. • Future watershed modeling should incorporate SC-LV to improve model predictions. |
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• Input uncertainty was incorporated by seasonally categorized latent variables (SC-LV). • SC-LV incorporation provided better statistics than default settings without seasonality. • Behavior definitions were implemented to further substantiate superiority of SC-LA. • Advanced definitions of Dry/Wet seasonality may further refine model predictions. • Future watershed modeling should incorporate SC-LV to improve model predictions. |
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Assessment of input uncertainty by seasonally categorized latent variables using SWAT |
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Su, Yu-Wen Wolfe, June E. Chen, Shien-Tsung Hsu, Yu-Chao Tseng, Wen-Hsiao Brady, Dawn M. Jeong, Jaehak Arnold, Jeffrey G. |
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10.1016/j.jhydrol.2015.10.058 |
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2024-07-06T20:18:21.180Z |
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