Chris Cox
None | Freelancer
Subject Areas: | Hydrology, Computer Science, Geomorphology, Climatology |
Recent Activity
ABSTRACT:
Jupyter notebooks detailing methods used to determine bias correction for Nitrate data at Waterlab and Mendon Road monitoring sites. The correction was utilized as part of data quality control and is included in quality control level 1 datasets.
ABSTRACT:
A SQLite database containing all field notes generated during the operation and management of the Logan GAMUT monitoring network, a component of the iUTAH project.
The database can be used as a reference when assessing GAMUT data. Alternatively, the database can be used as a template for other monitoring projects needing to create a system for managing field notes and tracking equipment location and maintenance.
ABSTRACT:
A template Jupyter Python (3) Notebook for analyzing discharge rating curve data. Data is imported from an excel file and analyzed following Herschy 2009. After an initial analysis, a least squares regression, is performed on the input data. Eventually it would be nice to implement a weighted regression based on uncertainties.
Contact
(Log in to send email) |
All | 0 |
Collection | 0 |
Resource | 0 |
App Connector | 0 |
Created: Sept. 14, 2016, 5:07 p.m.
Authors: Chris Cox
ABSTRACT:
A template Jupyter Python (3) Notebook for analyzing discharge rating curve data. Data is imported from an excel file and analyzed following Herschy 2009. After an initial analysis, a least squares regression, is performed on the input data. Eventually it would be nice to implement a weighted regression based on uncertainties.
ABSTRACT:
A SQLite database containing all field notes generated during the operation and management of the Logan GAMUT monitoring network, a component of the iUTAH project.
The database can be used as a reference when assessing GAMUT data. Alternatively, the database can be used as a template for other monitoring projects needing to create a system for managing field notes and tracking equipment location and maintenance.
ABSTRACT:
Jupyter notebooks detailing methods used to determine bias correction for Nitrate data at Waterlab and Mendon Road monitoring sites. The correction was utilized as part of data quality control and is included in quality control level 1 datasets.