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Name: Ryan Johnson
Type: User
Company: Alabama Water Institute
Bio: Leveraging machine learning to understand environmental processes related to snow & streamflow prediction.
Location: Alabama Water Institute
Name: Ryan Johnson
Type: User
Company: Alabama Water Institute
Bio: Leveraging machine learning to understand environmental processes related to snow & streamflow prediction.
Location: Alabama Water Institute
Default community health files for all of my open-source projects
GeoSmart Hackweek website 2023
A collection of Amazon Web Services (AWS) scripts supporting Water Data Science.
Training material for the "BMI Basics for NextGen" workshop at the 2023 CIROH Training and Developers Conference
github.io documentation site for CIROH-UA
A Novel Research-Oriented Streamflow Evaluation Tool to evaluation hydrological model performance using a standardized NHDPlus data model.
Neural networks for Sentinel-1 SAR backscatter snow depth retrieval
Machine Learning SWE workshop for CIROH DEVCON 2024
A CIROH-support repository to educate new users to Google Earth Engine(GEE)
Snow-ML jupyter notebook
Developing a LSTM from Scratch
Exploiting the Power of Machine Learning for water supply forecasting
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.
Repository for Machine Learning to Characterize Hydro-Climate Impacts and Thresholds to Rainfed Agricultural Productivity
tools to subset hydrofabrics, generate forcings, create default realizations
A Machine Learning extension processor coupling the NWM to water resources management tools in the western US.
Job Talk supplementary materials
Daily Water Temperature and Dissolved Oxygen for the Middle and Lower Provo River
The streamflow evaluator compares modeled streamflow to in situ USGS monitoring sites, with interactive visualizations supporting an in-depth analysis.
Within this repository are the simulation results and respective Jupyter Notebook analysis tools.
Assessing all aspects of NRCS Snotel sites and corresponding snow characteristics
Improve NSM prediction performance in the Sierra Nevada mountains through domain constraints and the exploration of different ML algorithms.
Spatiotemporal prediction of surface elevation changes on icy terrain (glacier, snow) from repeat DEMs
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.
Production oriented SWE forecasting using machine learning and Geoweaver
Deep Learning national scale 1 km resolution SWE prediction model
The operational development version of SWEML
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.