pfra-hydromet
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Dewberry
Tools for developing pluvial (excess rainfall) and fluvial scenarios for probabilistic flood risk analyses
Bumps [urllib3](https://github.com/urllib3/urllib3) from 1.24.2 to 1.26.17. Release notes Sourced from urllib3's releases. 1.26.17 Added the Cookie header to the list of headers to strip from requests when redirecting to a...
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Bumps [scipy](https://github.com/scipy/scipy) from 1.3.0 to 1.10.0. Release notes Sourced from scipy's releases. SciPy 1.10.0 Release Notes SciPy 1.10.0 is the culmination of 6 months of hard work. It contains many...
Bumps [nbconvert](https://github.com/jupyter/nbconvert) from 5.5.0 to 6.5.1. Release notes Sourced from nbconvert's releases. Release 6.5.1 No release notes provided. 6.5.0 What's Changed Drop dependency on testpath. by @anntzer in jupyter/nbconvert#1723 Adopt...
Bumps [numpy](https://github.com/numpy/numpy) from 1.16.3 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...
The polygons associated with the NOAA Atlas 14 volume and region do not perfectly overlap with the volume codes and their associated precipitation frequency rasters. For example, volume 8, region...
Add a scope/summary of the hydromet_stratified.py below the libraries and above the functions. This way the user can get an overview of the contents and understand the workflow before diving...
All local variables and functions should be lower case and for readability, all functions should have a description even if they seem self-explanatory.
For method-specific variables like S_Limit, include a short description and an example value or range of acceptable values in the docstring. Similarly, when passing an array of parameters to a...
In plot_runoff_distributions_final, the discharge range is hardcoded, ideally, you want this to be flexible for plotting in different areas, same in plot_max_potential_retentin_cond_runoff. Try to avoid hard coding when possible, can...
USACE recommends using confidence limits between 0.01 and 0.99 for calculating the mean curve. Consider reducing the range of confidence limits.