Zobrazeno 1 - 10
of 69
pro vyhledávání: '"Sam, Anderson"'
Autor:
Sam Anderson, Shawn Chartrand
Publikováno v:
Earth's Future, Vol 12, Iss 10, Pp n/a-n/a (2024)
Abstract Persistent warm temperature anomalies can drive streamflow in regions where snow and glacier melt are important constituents of streamflow. However, the spatiotemporal variability of the streamflow response depends on both the magnitude of t
Externí odkaz:
https://doaj.org/article/2573289a887d406b95b49bc148eaec7d
Autor:
Rachel H. White, Sam Anderson, James F. Booth, Ginni Braich, Christina Draeger, Cuiyi Fei, Christopher D. G. Harley, Sarah B. Henderson, Matthias Jakob, Carie-Ann Lau, Lualawi Mareshet Admasu, Veeshan Narinesingh, Christopher Rodell, Eliott Roocroft, Kate R. Weinberger, Greg West
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-20 (2023)
The 2021 unprecedented Pacific Northwest heatwave broke temperature records by extraordinary amounts. Impacts included hundreds of deaths, mass-mortalities of marine life, increased wildfires, reduced crop and fruit yields, and river flooding.
Externí odkaz:
https://doaj.org/article/d0bac971a85747f788830b51df6434a6
Autor:
Sam Anderson, Shawn Chartrand
Publikováno v:
Environmental Research Letters, Vol 19, Iss 11, p 114059 (2024)
Meltwater runoff from snow and glaciers in high mountain regions supports the water needs of hundreds of millions of people, but extreme events such as heatwaves modify the timing and magnitude of water available for downstream communities and ecosys
Externí odkaz:
https://doaj.org/article/88bca53db21044bfabcf9205e8f8f8a6
Autor:
Sam Anderson, Valentina Radić
Publikováno v:
Frontiers in Water, Vol 4 (2022)
The interpretation of deep learning (DL) hydrological models is a key challenge in data-driven modeling of streamflow, as the DL models are often seen as “black box” models despite often outperforming process-based models in streamflow prediction
Externí odkaz:
https://doaj.org/article/c9c6a343c36848a4a94af43a7cc713a9
Autor:
Rachel White, Sam Anderson, James F. Booth, Ginni Braich, Christina Draeger, Cuiyi Fei, Christopher D. G. Harley, Sarah B. Henderson, Matthias Jakob, Carie-Ann Lau, Lualawi Mareshet Admasu, Veeshan Narinesingh, Christopher Rodell, Eliott Roocroft, Kate R. Weinberger, Greg West
In late June 2021 a heatwave of unprecedented magnitude impacted the Pacific Northwest (PNW) region of Canada and the United States. Many locations broke all-time maximum temperature records by more than 5°C, and the Canadian national temperature re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21682892bffdabe46450aa0eab73e6cf
https://doi.org/10.5194/egusphere-egu23-10709
https://doi.org/10.5194/egusphere-egu23-10709
Autor:
Sam Anderson, Valentina Radić
Publikováno v:
Hydrology and Earth System Sciences, Vol 26, Pp 795-825 (2022)
Deep learning has emerged as a useful tool across geoscience disciplines; however, there remain outstanding questions regarding the suitability of unexplored model architectures and how to interpret model learning for regional-scale hydrological mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e10abb44778df015637f98e1dfac8e7e
https://hess.copernicus.org/articles/26/795/2022/hess-26-795-2022.pdf
https://hess.copernicus.org/articles/26/795/2022/hess-26-795-2022.pdf
Insights from Self-Organizing Maps for Predicting Accessibility Demand for Healthcare Infrastructure
Publikováno v:
Urban Science, Vol 3, Iss 1, p 33 (2019)
As urban populations grow worldwide, it becomes increasingly important to critically analyse accessibility—the ease with which residents can reach key places or opportunities. The combination of ‘big data’ and advances in computational techniqu
Externí odkaz:
https://doaj.org/article/742950cdb3004d0da35da2c7ef70c3b1
Bedrock channel erodibility is a nonunique model-dependent parameter that scales hydraulic forcing to fluvial bedrock erosion. In landscape evolution modeling, erodibility coefficients are often assumed constant and uniform, and are often empirically
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::055d9afb9c011ea2aec33aa0a7c8eabb
https://doi.org/10.5194/icg2022-459
https://doi.org/10.5194/icg2022-459
Autor:
Valentina Radić, Sam Anderson
Publikováno v:
Nature Climate Change. 10:933-938
Global glacier retreat driven by climate change will have major impacts on regional water availability, as many communities rely on glacier runoff for water supply during warm and dry seasons. A community whose water resources are potentially vulnera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9703f90a108cf3151198f00c37cccdc7
https://doi.org/10.1038/s41558-020-0863-4
https://doi.org/10.1038/s41558-020-0863-4
Publikováno v:
Action Learning: Research and Practice. 17:148-154
This paper gives an account of how Action Learning Sets (ALS) are used in two of The Rank Foundation investment streams to support the social action impact of charities and social enterprises. With...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c6a11825586913ca4f70d39d0dcd48d
https://doi.org/10.1080/14767333.2020.1712855
https://doi.org/10.1080/14767333.2020.1712855