Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Samantha Oliver"'
Autor:
Jacob A. Zwart, Jeremy Diaz, Scott Hamshaw, Samantha Oliver, Jesse C. Ross, Margaux Sleckman, Alison P. Appling, Hayley Corson-Dosch, Xiaowei Jia, Jordan Read, Jeffrey Sadler, Theodore Thompson, David Watkins, Elaheh White
Publikováno v:
Frontiers in Water, Vol 5 (2023)
Deep learning (DL) models are increasingly used to forecast water quality variables for use in decision making. Ingesting recent observations of the forecasted variable has been shown to greatly increase model performance at monitored locations; howe
Externí odkaz:
https://doaj.org/article/cc0fcdc1f61a4308acab699cd5e04219
Autor:
Farshid Rahmani, Kathryn Lawson, Wenyu Ouyang, Alison Appling, Samantha Oliver, Chaopeng Shen
Publikováno v:
Environmental Research Letters, Vol 16, Iss 2, p 024025 (2021)
Stream water temperature ( T _s ) is a variable of critical importance for aquatic ecosystem health. T _s is strongly affected by groundwater-surface water interactions which can be learned from streamflow records, but previously such information was
Externí odkaz:
https://doaj.org/article/d0d23ee63c7a41f9bd125866fefcb1e6
This chapter provides an overview of machine learning models and their applications to the science of inland waters. Such models serve a wide range of purposes for science and management: predicting water quality, quantity, or ecological dynamics acr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::865119615bead7a9625722e1715f93ab
https://doi.org/10.31223/x5964s
https://doi.org/10.31223/x5964s
Autor:
Charuleka Varadharajan, Alison P. Appling, Bhavna Arora, Danielle S. Christianson, Valerie C. Hendrix, Vipin Kumar, Aranildo R. Lima, Juliane Müller, Samantha Oliver, Mohammed Ombadi, Talita Perciano, Jeffrey M Sadler, Helen Weierbach, Jared D. Willard, Zexuan Xu, Jacob Zwart
Publikováno v:
Hydrological Processes, vol 36, iss 4
The global decline of water quality in rivers and streams has resulted in a pressing need to design new watershed management strategies. Water quality can be affected by multiple stressors including population growth, land use change, global warming,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d84d1fee57bc1f3874beb41278144ffb
https://escholarship.org/uc/item/9m7568rs
https://escholarship.org/uc/item/9m7568rs
Autor:
Xiaowei Jia, Yiqun Xie, Sheng Li, Shengyu Chen, Jacob Zwart, Jeffrey Sadler, Alison Appling, Samantha Oliver, Jordan Read
Publikováno v:
2021 IEEE International Conference on Data Mining (ICDM).
Autor:
Tianshu Bao, Xiaowei Jia, Jacob Zwart, Jeffrey Sadler, Alison Appling, Samantha Oliver, Taylor T. Johnson
Publikováno v:
2021 IEEE International Conference on Data Mining (ICDM).
Autor:
Shengyu Chen, Alison Appling, Samantha Oliver, Hayley Corson-Dosch, Jordan Read, Jeffrey Sadler, Jacob Zwart, Xiaowei Jia
Accurate prediction of water temperature in streams is critical for monitoring and understanding biogeochemical and ecological processes in streams. Stream temperature is affected by weather patterns (such as solar radiation) and water flowing throug
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb842ef8ee74ff7b5f0f5c73cc6937c7
http://arxiv.org/abs/2110.04959
http://arxiv.org/abs/2110.04959
Autor:
Jacob Zwart, Samantha Oliver, William Watkins, Jeffrey Sadler, Alison Appling, Hayley Corson-Dosch, Xiaowei Jia, Vipin Kumar, Jordan Read
Near-term forecasts of environmental outcomes can inform real-time decision making. Data assimilation modeling techniques can be used for forecasts to leverage real-time data streams, where the difference between model predictions and observations ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6993832cc097ee6d6bf1848304bbdf4c
https://doi.org/10.31223/x55k7g
https://doi.org/10.31223/x55k7g