Skip to main content
U.S. flag

An official website of the United States government

Hayley Corson-Dosch

Hayley Corson-Dosch is a hydrologist in the Data Science Branch of the USGS Water Resources Mission Area.

Hayley received a B.A. in Earth and Environmental Sciences from Wesleyan University, a M.S. in Water Resources Science from Oregon State University, and a M.S. in Cartography and GIS from the University of Wisconsin – Madison. Her work at the USGS is multidisciplinary, focusing on lake and stream temperature modeling, data science workflows, and data visualization.

Professional Experience

  • May 2020 to present: Hydrologist/data scientist. Data Science Branch, USGS Water Resources Mission Area, Madison, WI

  • October 2016 to August 2019: Environmental Scientist II, Tetra Tech, Portland, OR

  • June 2015 to September 2016: Aquatic Scientist II, Tetra Tech, Seattle, WA

  • June 2012 to August 2012: Carbon Assessment Intern, Mountain Studies Institute, Durango, CO

Science and Products

No Result Found
No results found.
Filter Total Items: 14

Near-term forecasts of stream temperature using deep learning and data assimilation in support of management decisions Near-term forecasts of stream temperature using deep learning and data assimilation in support of management decisions

Deep learning (DL) models are increasingly used to make accurate hindcasts of management-relevant variables, but they are less commonly used in forecasting applications. Data assimilation (DA) can be used for forecasts to leverage real-time observations, where the difference between model predictions and observations today is used to adjust the model to make better predictions tomorrow...
Authors
Jacob Aaron Zwart, Samantha K. Oliver, William Watkins, Jeffrey Michael Sadler, Alison P. Appling, Hayley R. Corson-Dosch, Xiaowei Jia, Vipin Kumar, Jordan Read
By
Water Resources Mission Area

Heterogeneous stream-reservoir graph networks with data assimilation Heterogeneous stream-reservoir graph networks with data assimilation

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 through the stream network. Additionally, stream temperature can be substantially affected by water releases from man-made reservoirs to...
Authors
Shengyu Chen, Alison P. Appling, Samantha K. Oliver, Hayley R. Corson-Dosch, Jordan Read, Jeffrey Michael Sadler, Jacob Aaron Zwart, Xiaowei Jia
By
Water Resources Mission Area, Upper Midwest Environmental Sciences Center, Upper Midwest Water Science Center

Science and Products

No Result Found
No results found.
Filter Total Items: 14

Near-term forecasts of stream temperature using deep learning and data assimilation in support of management decisions Near-term forecasts of stream temperature using deep learning and data assimilation in support of management decisions

Deep learning (DL) models are increasingly used to make accurate hindcasts of management-relevant variables, but they are less commonly used in forecasting applications. Data assimilation (DA) can be used for forecasts to leverage real-time observations, where the difference between model predictions and observations today is used to adjust the model to make better predictions tomorrow...
Authors
Jacob Aaron Zwart, Samantha K. Oliver, William Watkins, Jeffrey Michael Sadler, Alison P. Appling, Hayley R. Corson-Dosch, Xiaowei Jia, Vipin Kumar, Jordan Read
By
Water Resources Mission Area

Heterogeneous stream-reservoir graph networks with data assimilation Heterogeneous stream-reservoir graph networks with data assimilation

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 through the stream network. Additionally, stream temperature can be substantially affected by water releases from man-made reservoirs to...
Authors
Shengyu Chen, Alison P. Appling, Samantha K. Oliver, Hayley R. Corson-Dosch, Jordan Read, Jeffrey Michael Sadler, Jacob Aaron Zwart, Xiaowei Jia
By
Water Resources Mission Area, Upper Midwest Environmental Sciences Center, Upper Midwest Water Science Center
Was this page helpful?