Published April 14, 2026
| Version v1
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Developing trustworthy monitoring data
Authors/Creators
- 1. California Office of Data and Innovation
-
2.
California Department of Water Resources
Description
The California Department of Water Resources (DWR) relies on environmental monitoring data to produce accurate flood and water quality forecast models, manage floods, and comply with environmental laws. DWR and ODI worked together to develop a tool that easily, quickly, consistently, and transparently identifies spurious environmental data to improve confident decision making.
Files
bobra-et-al-developing-trustworthy-monitoring-data.pdf
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Additional details
Dates
- Created
-
2026-04-14Date of deposit
References
- Bousquin, J., & Mullin, C. A. (2024). harmonize-wq: Standardize, clean and wrangle Water Quality Portal data into more analytic-ready formats. Journal of Open Source Software, 9(102), 7305. https://doi.org/10.21105/joss.07305
- Christ, M., Braun, N., Neuffer, J., & Kempa-Liehr, A. W. (2018). Time series feature extraction on basis of scalable hypothesis tests (tsfresh–a python package). Neurocomputing, 307, 72-77. https://doi.org/10.1016/j.neucom.2018.03.067
- Department of Water Resources (2023). DWR Strategic Plan. https://water.ca.gov/-/media/DWR-Website/Web- Pages/About/Files/Publications/DWR-Strategic-Plan.pdf
- Department of Water Resources (2026). Outlier Detection Test Best Practices (DWR Document Control Number: DWR-1- BST-005). https://water.ca.gov/-/media/DWR-Website/Web-Pages/Library/Files/Public-Forms/DWR1BST005v12Outlier- Detection-Best-Practicesfk.pdf
- Gebru, T., Morgenstern, J., Vecchione, B., Vaughan, J. W., Wallach, H., Iii, H. D., & Crawford, K. (2021). Datasheets for datasets. Communications of the ACM, 64(12), 86-92. http://dx.doi.org/10.1145/3458723
- Moran, K. "Usability (User) Testing 101." nngroup.com, 11 September 2025, https://www.nngroup.com/articles/usability-testing-101/
- State Water Resources Control Board (2002). State Water Board Decision 1641 (2000). https://www.waterboards.ca.gov/waterrights/board_decisions/adopted_orders/decisions/d1600_d1649/wrd1641_1999 dec29.pdf
- Talagala, P. D., Hyndman, R. J., Leigh, C., Mengersen, K., & Smith‐Miles, K. (2019). A feature‐based procedure for detecting technical outliers in water‐quality data from in situ sensors. Water Resources Research, 55(11), 8547-8568. http://dx.doi.org/10.1029/2019WR024906
- The Shiny development team. (2025). Shiny for Python (Version 1.4.0) [Computer software]. https://shiny.posit.co/py/