Ryan Johnson's repositories
Research-Oriented-Streamflow-Evaluation-Tool
The streamflow evaluator compares modeled streamflow to in situ USGS monitoring sites, with interactive visualizations supporting an in-depth analysis.
Machine-Learning-Water-Systems-Model
This machine learning workflow demonstrates a framework to function a digital twin of a systems dynamics model for urban water system seasonal water system reliability, resilience, and vulnerability analysis.
Community-Streamflow-Evaluation-System
A Novel Research-Oriented Streamflow Evaluation Tool to evaluation hydrological model performance using a standardized NHDPlus data model.
GeoSmart_ML_Tutorial
Snow-ML jupyter notebook
Tethys-CSES
This repository serves as an interactive evaluation platform to visualize modeled streamflow.
AWS_Scripts
A collection of Amazon Web Services (AWS) scripts supporting Water Data Science.
GEE_Workshop
A CIROH-support repository to educate new users to Google Earth Engine(GEE)
Presentation_Materials
Job Talk supplementary materials
whitelightning450.github.io
A Jupyter Book working through the National Snow Model development, using the Upper Colorado River Basin as an example.
wordle_analyst_ideas
Example Branch Management / Git workflow
2023-hackweek-website
GeoSmart Hackweek website 2023
BMI_Getting_Started
Training material for the "BMI Basics for NextGen" workshop at the 2023 CIROH Training and Developers Conference
ciroh-ua_website
github.io documentation site for CIROH-UA
crunchy-snow
Neural networks for Sentinel-1 SAR backscatter snow depth retrieval
DEVCON_SNOW_ML
Machine Learning SWE workshop for CIROH DEVCON 2024
LSTM-Tutorials
Developing a LSTM from Scratch
lstm_for_GSL
Exploiting the Power of Machine Learning for water supply forecasting
NGIAB_data_preprocess
tools to subset hydrofabrics, generate forcings, create default realizations
SNOTEL-Analysis
Assessing all aspects of NRCS Snotel sites and corresponding snow characteristics
Snow-Extrapolation
Improve NSM prediction performance in the Sierra Nevada mountains through domain constraints and the exploration of different ML algorithms.
spacetime-elevation
Spatiotemporal prediction of surface elevation changes on icy terrain (glacier, snow) from repeat DEMs
Standardized-Snow-Water-Equivalent-Evaluation-Tool
Model execution produces a 1-km grid SWE estimates across the study region, where the evaluation methodology compares the modeled SWE from the testing dataset to the NASA ASO observations.
swe_forecasting_prod
Production oriented SWE forecasting using machine learning and Geoweaver
water-surf
Image dataset relalignment workflow with computer vision, plus automated river segmentation using Meta's SAM.