Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Parthiban Loganathan"'
Autor:
A. Chithambar Ganesh, R. Mohana, Parthiban Loganathan, Vinod M. Kumar, Mehmet Serkan Kırgız, N. Nagaprasad, Krishnaraj Ramaswamy
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract Geopolymer is an environment friendly construction material that could be synthesized using either the natural source or the industrial byproducts such as flyash and GGBS. The characteristics of the Geopolymer rely on the proportion of the f
Externí odkaz:
https://doaj.org/article/b0e8c8657b754624b5455ce114f80c46
Publikováno v:
Journal of Water and Climate Change, Vol 12, Iss 6, Pp 2314-2324 (2021)
Climate change impact studies are generally carried out with higher resolution general circulation model (GCM) outputs, which are usually for a global scale, and it is difficult to use the same for a regional scale. GCM simulations require downscalin
Externí odkaz:
https://doaj.org/article/ce8bbdd7513d47ef8c92eac6536e588d
Intercomparing the robustness of machine learning models in simulation and forecasting of streamflow
Publikováno v:
Journal of Water and Climate Change, Vol 12, Iss 5, Pp 1824-1837 (2021)
The intercomparison of streamflow simulation and the prediction of discharge using various renowned machine learning techniques were performed. The daily streamflow discharge model was developed for 35 observation stations located in a large-scale ri
Externí odkaz:
https://doaj.org/article/15d1237f55504149ba753cb71a61f845
Publikováno v:
Journal of Water and Climate Change, Vol 12, Iss 6, Pp 2314-2324 (2021)
Climate change impact studies are generally carried out with higher resolution general circulation model (GCM) outputs, which are usually for a global scale, and it is difficult to use the same for a regional scale. GCM simulations require downscalin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1a54cfe41714111be12bcf954d33c19
http://jwcc.iwaponline.com/content/12/6/2314
http://jwcc.iwaponline.com/content/12/6/2314
Publikováno v:
Climate Research. 83:147-160
Climate change assessment at a local scale requires downscaling of general circulation models (GCMs) using various approaches. In this study, statistical downscaling using established machine learning techniques is compared with the proposed extreme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d602b9b3c9cb500c3f623b1cec20d62
https://doi.org/10.3354/cr01642
https://doi.org/10.3354/cr01642
Autor:
Suresh Devaraj, Kiran Yarrakula, Tapas Ranjan Martha, Geetha Priya Murugesan, Divya Sekhar Vaka, Samvedya Surampudi, Abhinav Wadhwa, Parthiban Loganathan, Venkatesh Budamala
Publikováno v:
Journal of Earth System Science. 131
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92733faaf5114c15947ae444246453a3
https://doi.org/10.1007/s12040-022-01876-3
https://doi.org/10.1007/s12040-022-01876-3
Publikováno v:
Arabian Journal of Geosciences. 13
Assessing information on climate change over a regional scale is made possible through general circulation models (GCMs). However, developers generally have a dilemma in selecting suitable GCM for regional scale downscaling to reduce the computationa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c24353da3b6513ee8d7b9bd1a025dfb
https://doi.org/10.1007/s12517-020-06217-6
https://doi.org/10.1007/s12517-020-06217-6