Hayley Corson-Dosch

According to our database, Hayley Corson-Dosch authored at least 5 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Source code: Evaluating deep learning architecture and data assimilation for improving water temperature forecasts at unmonitored locations.

Jacob Zwart, Jeremy Diaz, Scott Hamshaw, Samantha Oliver, Jesse C. Ross, Margaux Sleckman, Alison P. Appling, Hayley Corson-Dosch, Xiaowei Jia, Jordan S. Read, Jefferey Sadler, Theodore Thompson, William Watkins, Ellie White

Dataset, February, 2023

2021

Source code: Near-term forecasts of stream temperature using process-guided deep learning and data assimilation.

Jacob A. Zwart, Samantha K. Oliver, William Watkins, Jeffrey M. Sadler, Alison P. Appling, Hayley Corson-Dosch, Xiaowei Jia, Vipin Kumar, Jordan S. Read

Dataset, December, 2021

Source code: Near-term forecasts of stream temperature using process-guided deep learning and data assimilation.

Jacob A. Zwart, Samantha K. Oliver, William Watkins, Jeffrey M. Sadler, Alison P. Appling, Hayley Corson-Dosch, Xiaowei Jia, Vipin Kumar, Jordan S. Read

Dataset, August, 2021

Source code: Near-term forecasts of stream temperature using process-guided deep learning and data assimilation.

Jacob A. Zwart, Samantha K. Oliver, William Watkins, Jeffrey M. Sadler, Alison P. Appling, Hayley Corson-Dosch, Xiaowei Jia, Vipin Kumar, Jordan S. Read

Dataset, July, 2021

Heterogeneous Stream-reservoir Graph Networks with Data Assimilation.

Shengyu Chen, Alison P. Appling, Samantha Oliver, Hayley Corson-Dosch, Jordan S. Read, Jeffrey M. Sadler, Jacob Zwart, Xiaowei Jia

Proceedings of the IEEE International Conference on Data Mining, 2021