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drb-inland-salinity-ml

Code repo for Delaware River Basin machine learning models that predict inland salinity.

ds-gitflows-jaredsmith

ds-pipelines-targets-1

ds-pipelines-targets-2

ds-pipelines-targets-3

eflowstats

Calculates Hydrologic Indicator stats and fundamental properties of daily streamflow for a given set of data

engauge

Repository for gathering Environmental Gauge data, processing that data, and doing basic exploratory (spatial) data analysis.

geothermal_dataanalysis_crosssections

This repository contains code that may be useful for processing geothermal bottomhole temperature (BHT) data into a useful format for spatial outlier analyses and spatial regressions. Plot templates for geotherms and cross sections are also available.

geothermal_esda

This repository contains exploratory spatial data analysis (ESDA) functions and scripts. These functions are designed for geothermal spatial datasets, and are applicable to other spatial datasets.

pad_icejamfloods

Frequency analysis for ice jam floods applied in the Peace-Athabasca Delta, Canada. Serves as the paper code repository for Timoney et al. (2018) and Lamontagne et al. (in prep).

r-bayesiantoolsexample

This repository contains simple examples that illustrate how to use the BayesianTools R package to do Bayesian inference.

regional-hydrologic-forcings-ml

Repo for machine learning models for regional prediction of hydrologic forcing functions. FY22 regions: Delaware River Basin (DRB) region, and Upper Colorado River Basin (UCOL) region.

rhessys_paramsa-cal-giopt

Morris global sensitivity analysis, Bayesian DREAMzs calibration, and multi-objective optimization of green infrastructure using the RHESSys ecohydrological model.

river-dl

Deep learning model for predicting environmental variables on river systems

training-kit

Open source cheat sheets for Git and GitHub