Zobrazeno 1 - 10 of 62 pro vyhledávání: '"Emmet M. Owens"'
1
Akademický článek
Modeling streamflow sensitivity to climate change in New York City water supply streams using a stochastic weather generator
Autor: Rajith Mukundan, Nachiketa Acharya, Rakesh K. Gelda, Allan Frei, Emmet M. Owens
Publikováno v: Journal of Hydrology: Regional Studies, Vol 21, Iss , Pp 147-158 (2019)
Study region: The New York City water supply watersheds Study focus: This study is a modeling analysis on climate change impact on streamflow using a stochastic weather generator (SWG), a hydrologic model, and downscaled future climate scenarios. Str
Externí odkaz: https://doaj.org/article/12f755ee39564d6896af956bede0021d
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2
Akademický článek
Revisiting SWAT as a Saturation-Excess Runoff Model
Autor: Tammo S. Steenhuis, Elliot M. Schneiderman, Rajith Mukundan, Linh Hoang, Mamaru Moges, Emmet M. Owens
Publikováno v: Water, Vol 11, Iss 7, p 1427 (2019)
The Soil Water Assessment Tool (SWAT) is employed throughout the world to simulate watershed processes. A limitation of this model is that locations of saturation excess overland flow in hilly and mountainous regions with an impermeable layer at shal
Externí odkaz: https://doaj.org/article/a41ca6c08b3749fc8add06a08949c948
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3
A Cascading Bias Correction Method for Global Climate Model Simulated Multiyear Precipitation Variability
Autor: Allan Frei, Rajith Mukundan, Jie Chen, Rakesh K. Gelda, Emmet M. Owens, Jordan Gass, Arun Ravindranath
Publikováno v: Journal of Hydrometeorology. 23:697-713
The use of global climate model (GCM) precipitation simulations typically requires corrections for precipitation biases at subgrid spatial scales, typically at daily or monthly time scales. However, over many regions GCMs underestimate the magnitudes
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::47289856b509bfb02e92a34db77f55da
https://doi.org/10.1175/jhm-d-21-0148.1
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4
Phosphorus reduction in the New York City water supply system: A water-quality success story confirmed with data and modeling
Autor: Rajith Mukundan, Tammo S. Steenhuis, Emmet M. Owens, Karen Moore, Linh Hoang
Publikováno v: Ecological Engineering. 135:75-88
New York City (NYC)’s drinking water reservoirs supply over four billion liters each day to over nine million consumers in NYC and upstate communities. In the last 25 years, the City has invested nearly $2 billion in watershed protection programs (
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3b11df41e9bd3fa8242a1a593ce3063b
https://doi.org/10.1016/j.ecoleng.2019.04.029
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6
A Practical Approach to Developing Climate Change Scenarios for Water Quality Models
Autor: Rakesh K. Gelda, John T. Abatzoglou, Emmet M. Owens, Rajith Mukundan
Publikováno v: Journal of Hydrometeorology. 20:1197-1211
Climate model output is often downscaled to grids of moderately high spatial resolution (~4–6-km grid cells). Such projections have been used in numerous hydrological impact assessment studies at watershed scales. However, relatively few studies ha
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::df11f56f38eb8979810f97296db85a74
https://doi.org/10.1175/jhm-d-18-0213.1
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8
Modeling streamflow sensitivity to climate change in New York City water supply streams using a stochastic weather generator
Autor: Allan Frei, Emmet M. Owens, Rakesh K. Gelda, Nachiketa Acharya, Rajith Mukundan
Publikováno v: Journal of Hydrology: Regional Studies, Vol 21, Iss, Pp 147-158 (2019)
Study region: The New York City water supply watersheds Study focus: This study is a modeling analysis on climate change impact on streamflow using a stochastic weather generator (SWG), a hydrologic model, and downscaled future climate scenarios. Str
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::534a459813f1b14390c16448c23868b8
http://www.sciencedirect.com/science/article/pii/S2214581818300880
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10
The effect of input data resolution and complexity on the uncertainty of hydrological predictions in a humid vegetated watershed
Autor: Tammo S. Steenhuis, Rajith Mukundan, Linh Hoang, Emmet M. Owens, Karen Moore
Publikováno v: Hydrology and Earth System Sciences, Vol 22, Pp 5947-5965 (2018)
Uncertainty in hydrological modeling is of significant concern due to its effects on prediction and subsequent application in watershed management. Similar to other distributed hydrological models, model uncertainty is an issue in applying the Soil a
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::935ca1e174f33f0f2fb757879269ce82
https://doi.org/10.5194/hess-22-5947-2018
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