Testing and analysis for OMEGA, MPAS-Ocean, MALI and MPAS-Seaice
Tool for evaluating atmospheric carbon dioxide concentrations as simulated by Earth system models
Energy Exascale Earth System Model source code. NOTE: use "maint" branches for your work. Head of master is not validated.
Standard Nomenclature for PV Systems
rSFSW2: A R package to create soil water balance simulation experiment
An ecosystem water balance simulation model
Dynamic electricity carbon emission factors and prices for Europe
Demand Response Analysis Framework (DRAF)
Notebooks to calculate tree diversity indices (Shannon and Simpson) for planners, foresters, and ecologists!
Enrichment pipeline for CUR reports which adds energy and carbon data allowing to report and reduce the impact of the your cloud usage.
A set of tools for processing of spatial and temporal disaggregations.
Fast methods to work with hydro- and topography data in pure Python.
🐍🧰 Make massive MODFLOW models
HydroMT: Automated and reproducible model building and analysis
Super-fast modelling of dynamic compound flooding in Coastal Systems
A Python based kernel to perform spatial (environmental) impact assessment
A Quick-Action Carbon Whole Life Carbon Assessment calculator using Revit material quantities.
Python components for DataONE clients and servers
Unlocking regulatory innovation for the circular economy transition.
Python Package for Empirical Statistical Downscaling. pyESD is under active development and all colaborators are welcomed. The purpose of the package is to downscale any climate variables e.g. precipitation and temperature using predictors from reanalysis datasets (eg. ERA5) to point scale. pyESD adopts many ML and AL as the transfer function.
DSSAT Cropping System Model
{extractOz}: Get local attribute information from GPS points for Australian agricultural research
Registry for Digital Public Goods
Python package to retrieve data from Databank Ondergrond Vlaanderen (DOV)
What does changing snowmelt mean for flow in the western US?
See official repository at: https://code.usgs.gov/water/nhdplusTools
Similar to gage-conditions-gif but for groundwater!
A tile map showing a month of streamflow conditions across the U.S.
A JavaScript Project Using the Vue Framework.
Python package for retrieving water data from USGS or the multi-agency Water Quality Portal
This R package is designed to obtain USGS or EPA water quality sample data, streamflow data, and metadata directly from web services.
Hydrologic AnalySis Package. See official source code: https://doi-usgs.github.io/HASP/
An R-package for the analysis of long-term changes in water quality and streamflow, including the water-quality method Weighted Regressions on Time, Discharge, and Season (WRTDS). https://doi-usgs.github.io/EGRET/
COAWST modeling system git repository
The Ocean Navigator is an online tool that is used to help visualise scientific research data. a users guide is available at https://dfo-ocean-navigator.github.io/Ocean-Navigator-Manual/ and the tool is live at
A benchmark dataset collection for bird sound classification
Numerical model for simulating shallow water hydrodynamics on the GPU using an Adaptive Mesh Refinment type grid. The model was designed with the goal of simulating inundation (River, Storm surge or tsunami). The model uses a Block Uniform Quadtree approach that runs on the GPU but the adaptive/multi-resolution/AMR is being implemented and not yet operational. The core SWE engine and adaptivity has been inspired and taken from St Venant solver from Basilisk and the CUDA GPU memory model has been inspired by the work from Vacondio _et al._2017)
Decode CINRAD (China New Generation Weather Radar) data and visualize.
Repository no longer in use
PowNet: Network-constrained Unit Commitment / Economic Dispatch model in Python
Working with eBird data in R
trends.earth - measure land change
Resilience Atlas - Evidence-based decision-making around resilience
Predict the Power Production of a solar panel farm from Weather Measurements using Machine Learning
:package: A Computation of Functional Spaces and Functional Diversity Indices
CloudDrift accelerates the use of Lagrangian data for atmospheric, oceanic, and climate sciences.