Zobrazeno 1 - 10
of 118
pro vyhledávání: '"transfer function-noise modelling"'
Publikováno v:
In Environmental Modelling and Software September 2020 131
Autor:
Mohanasundaram, S.1 (AUTHOR) mohanasundaram1986@gmail.com, Narasimhan, Balaji2 (AUTHOR), Suresh Kumar, G.3 (AUTHOR)
Publikováno v:
Hydrological Sciences Journal/Journal des Sciences Hydrologiques. Jan2017, Vol. 62 Issue 1, p36-49. 14p.
Publikováno v:
INFOR. Nov83, Vol. 21 Issue 4, p258-269. 12p.
Autor:
Östermark, Ralf
Publikováno v:
Kybernetes, 2000, Vol. 29, Issue 3, pp. 355-380.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/03684920010795312
Transfer function-noise modelling of irregularly observed groundwater heads using precipitation data
Autor:
Yi, Myeong-Jae, Lee, Kang-Kun ∗
Publikováno v:
In Journal of Hydrology 2004 288(3):272-287
Autor:
Steffen Birk, Torsten Noffz, Andreas Hartmann, Thomas Reimann, Alireza Kavousi, Raoul Collenteur, Max Gustav Rudolph, Thomas Wöhling, Markus Giese
Publikováno v:
Geological Society of America Abstracts with Programs.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6d6e5bace7e38b305a753ed91666e15
https://doi.org/10.1130/abs/2021am-370357
https://doi.org/10.1130/abs/2021am-370357
Autor:
Wout A. Schutten, Michiel Pezij, Rick J. Hogeboom, U. Nicole Jungermann, Denie C.M. Augustijn
Publikováno v:
Netherlands Journal of Geosciences, Vol 103 (2024)
Groundwater is a vital resource for various water users in the Netherlands. However, due to a changing climate, increasing water demand and changes in the water system, the country is increasingly exposed to groundwater droughts. Water managers use v
Externí odkaz:
https://doaj.org/article/f7c93fffca854f67ab0d30dafadb85b3
Akademický článek
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Autor:
Suresh Kumar Govindarajan, Suresh Beniwal, MOHANASUNDARAM S, Mohanasundaram Shanmugam, Balaji Narasimhan
Publikováno v:
Hydrological Sciences Journal. :1-14
Considerable uncertainty occurs in the parameter estimates of traditional rainfall–water level transfer function noise (TFN) models, especially with the models built using monthly time step datasets. This is due to the equal weights assigned for ra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::230da6bed8e8dde04f3ba4d91a86f18e
https://doi.org/10.1080/02626667.2016.1171325
https://doi.org/10.1080/02626667.2016.1171325
Publikováno v:
Environmental modelling & software, 131:104756. Elsevier
The increasing availability of remotely sensed soil moisture data offers new opportunities for data-driven modelling approaches as alternatives for process-based modelling. This study presents the applicability of transfer function-noise (TFN) modell
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::825cae6acb4b796c1cd2c9f5513b8a55
https://doi.org/10.1016/j.envsoft.2020.104756
https://doi.org/10.1016/j.envsoft.2020.104756