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Ryan Johnson's Projects

.github icon .github

Default community health files for all of my open-source projects

aws_scripts icon aws_scripts

A collection of Amazon Web Services (AWS) scripts supporting Water Data Science.

bmi_getting_started icon bmi_getting_started

Training material for the "BMI Basics for NextGen" workshop at the 2023 CIROH Training and Developers Conference

crunchy-snow icon crunchy-snow

Neural networks for Sentinel-1 SAR backscatter snow depth retrieval

gee_workshop icon gee_workshop

A CIROH-support repository to educate new users to Google Earth Engine(GEE)

lstm_for_gsl icon lstm_for_gsl

Exploiting the Power of Machine Learning for water supply forecasting

machine-learning-water-systems-model icon 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.

nasa_wef_wheat icon nasa_wef_wheat

Repository for Machine Learning to Characterize Hydro-Climate Impacts and Thresholds to Rainfed Agricultural Productivity

nwm_ml icon nwm_ml

A Machine Learning extension processor coupling the NWM to water resources management tools in the western US.

snotel-analysis icon snotel-analysis

Assessing all aspects of NRCS Snotel sites and corresponding snow characteristics

snow-extrapolation icon snow-extrapolation

Improve NSM prediction performance in the Sierra Nevada mountains through domain constraints and the exploration of different ML algorithms.

spacetime-elevation icon spacetime-elevation

Spatiotemporal prediction of surface elevation changes on icy terrain (glacier, snow) from repeat DEMs

sweml icon sweml

Deep Learning national scale 1 km resolution SWE prediction model

sweml-op icon sweml-op

The operational development version of SWEML

swemlv2.0 icon swemlv2.0

The evolution of the Snow Water Equivalent Machine Learning modeling workflow - flexible spatial resolution, flexible model regions, and flexible grid/mesh

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