FVCOM Available Versions:
version 5.1.0
Available Versions:
version 5.1.0
FVCOM is a 3D hydrodynamic model specifically designed for simulating coastal and ocean dynamics. It uses an unstructured grid and finite-volume methods, making it highly adaptable for modeling complex coastlines, estuaries, and bathymetry. It’s a valuable tool for studying marine ecosystems, coastal environments, and the impacts of climate change on ocean systems.
Inductiva currently provides two FVCOM compilations: the standard fvcom binary and the fvcom_estuary binary, which is preconfigured for the Estuary test case.
With Inductiva, you can speed up your FVCOM simulations by sending them to Cloud machines with hundreds of cores and terabytes of disk space.
How to Run FVCOM on the Cloud
Running your FVCOM simulations on the Cloud is easy. All you need is to create a short Python script that points Inductiva to the simulation artifacts you have on your computer, and we will take it from there.
On the right, we show how to use the Inductiva API to send a FVCOM simulation to a 180 vCPU machine (c3d-standard-180) hosted on Google Cloud (GCP).
You can copy paste this Python script, adapt it to your own case. Your simulation will start right away, without waiting in a queue.
"""FVCOM example"""
import inductiva
# Allocate Google cloud machine
cloud_machine = inductiva.resources.MachineGroup( \
provider="GCP",
machine_type="c3d-highcpu-180")
# Initialize the Simulator
fvcom = inductiva.simulators.FVCOM()
# Run simulation with config files in the input directory
task = fvcom.run( \
input_dir="path/to/my/fvcom/files",
working_dir="run/",
case_name="my_case_name",
on=cloud_machine)
# Wait for the simulation to finish and download the results
task.wait()
cloud_machine.terminate()
task.download_outputs()
Dive Deep
Compiling FVCOM: A Handy Guide to Solving Common Issues
In this blog post, we walk you through a handy guide to help you tackle the challenges of compiling the FVCOM model. We’ve broken down the key steps, like setting up libraries (e.g., PETSc), managing compiler definitions, and fixing linking errors (like those with the Julian library).
We’ve also included tips to avoid common mistakes—plus, ready-to-use files to save you time so you can get right to running your simulations!
We've got 22 simulators ready for you to explore.
Just one click away from running your favorite open-source simulators on the cloud and at scale!
Why not give it a try? Explore our example codes and discover everything our API can offer.
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