Open scientific modeling workflow

AutoCF

An ecosystem for Streamlining Compound Flood Modeling

AutoCF provides a streamlined, user-friendly, automated framework for compound flood modeling, supporting model setup, forcing preparation, simulation, validation, and impact analysis while letting users retain full control over the hydrodynamic solver.

Download AutoCF How to cite
Live audience
Where visitors come fromLoading country-level visits…
Country-level aggregates onlyNo IP addresses stored
Latest stable release
AutoCF v1.0Latest
—Total downloads
—Countries
—Paper forthcoming
—Visitors
Not just a tool, but an entire compound-flood ecosystem.
Get AutoCF

Desktop

v1.0Download

For a single workstation. Installs and verifies its own runtime.

  • Platforms WindowsLinuxmacOS
  • BackendWSL2, Docker or Podman
  • Package168 MB, SHA-256 published

HPC cluster

v1.0Download

One Apptainer release for shared clusters. Nothing installed on the host.

  • GPUSimulations, on A100 80GB via Slurm
  • CPUBuild, evaluation, attribution, report
  • Package741 MB, SHA-256 sidecar
Global reach

AutoCF around the world

Demo data only. Exact IP addresses and precise personal locations should not be retained.
Workflow

What AutoCF handles

Forcing, streamed Wind, pressure, rain, discharge and water level pulled and clipped to your domain
Study area One GeoJSON polygon and the grid, bathymetry and land cover are built around it
Boundaries Tide, surge and river conditions assembled and written onto the model edges
Orchestration Build, simulate and post-process chained end to end, picking up where a job stopped
Flexibility Solver, resolution and every workflow step stay yours, set in one YAML file
Impact attribution Which driver caused the flooding, and what it exposed: people, buildings, roads
The AutoCF agent

Meet Riva

Riva: the bank of a river, the edge where the water meets the land.

I live in the dock at the bottom right of AutoCF, beside Jobs and log, resting and blinking while you work, waving when you greet me, thoughtful while I read. Click me and I open up.

I exist for the questions that interrupt a study: what a solver parameter really does, why a run came out the way it did, what the evaluation is actually telling you. So I look things up before I speak, searching the solver manual, the HydroMT API docs you have installed, and the AutoCF workflow guidance. For evaluation and attribution I take exact values straight from your model's JSON and CSV. I never ask a language model to do your arithmetic.

The numbers are yours; the explaining is mine. All of it stays on your computer, and I explain rather than act: I will not edit your YAML or launch your simulations.

How to cite

Until the AutoCF paper is published, please cite the software below. Cite the hydrodynamic solver and datasets used in your study separately. The paper citation and DOI will be added after publication.

Radfar, S., Maghsoodifar, F., Lin, N., & Moftakhari, H. (2026). AutoCF: A tool for streamlining compound flood modeling (Version 1.0) [Computer software]. https://faezehmagfar.github.io/autocf-website/
BibTeX Project website Paper DOI forthcoming
Selected case studies

Model outputs

Maximum-depth flood maps and compound-flood attribution results produced through the AutoCF workflow. Open any figure to view it at full resolution.

Modeled maximum water depth for the Hurricane Sandy case study
Flood mapHurricane Sandy · 2012Maximum modeled water depth across the study domain, with observation locations.
Modeled maximum water depth for the Hurricane Harvey case study
Flood mapHurricane Harvey · 2017Maximum modeled water depth across the study domain, with observation locations.
Modeled maximum water depth for the Hurricane Helene case study
Flood mapHurricane Helene · 2024Maximum modeled water depth across the study domain, with observation locations.
Hurricane Sandy flood impact metrics by depth threshold
Impact analysisHurricane Sandy · Impact summaryFlooded area, exposed buildings, and exposed population across modeled depth thresholds.
Shapley attribution of flooded area to coastal, precipitation, and river drivers
Driver attributionHurricane Sandy · Flood driversShapley attribution of flooded area to coastal, precipitation, and river forcing.
The team

About

The people who build and maintain AutoCF.

Name
Soheil Radfar
Role
Lead Software Developer; Hydroinformatics Software Engineer
Affiliation
Princeton University
Email
sradfar@princeton.edu
Website
sradfar.github.io
Name
Faezeh Maghsoodifar
Role
Scientific Software Architect; Model Integration & User Experience Engineer
Affiliation
The University of Alabama
Email
fmaghsoodifar@crimson.ua.edu
Website
faezehmaghsoodifar.com