JOSS Papers: data-assimilation

Published Papers

published Published about 2 months ago

ForeFire: A Modular, Scriptable C++ Simulation Engine and Library for Wildland-Fire Spread

C++ C Python

10.21105/joss.08680

published Published 9 months ago

DIFFICE-jax: Differentiable neural-network solver for data assimilation of ice shelves in JAX

Python MATLAB Jupyter Notebook

10.21105/joss.07254

published Published over 1 year ago

Adamantine 1.0: A Thermomechanical Simulator for Additive Manufacturing

C++

10.21105/joss.07017

published Published over 1 year ago

Pherosensor-toolbox: a Python package for Biology-Informed Data Assimilation

Python Gherkin Jupyter Notebook

10.21105/joss.06863

published Published over 1 year ago

MOTrainer: Distributed Measurement Operator Trainer for Data Assimilation Applications

Python Jupyter Notebook

10.21105/joss.06591

published Published over 1 year ago

CalibrateEmulateSample.jl: Accelerated Parametric Uncertainty Quantification

Julia

10.21105/joss.06372

published Published almost 2 years ago

DAPPER: Data Assimilation with Python: a Package for Experimental Research

Python Fortran

10.21105/joss.05150

published Published about 2 years ago

SPICY: a Python toolbox for meshless assimilation from image velocimetry using radial basis functions

JavaScript Jupyter Notebook

10.21105/joss.05749

published Published almost 3 years ago

SICOPOLIS-AD v2: tangent linear and adjoint modeling framework for ice sheet modeling enabled by automatic differentiation tool Tapenade

C Fortran Python

10.21105/joss.04679

published Published about 3 years ago

EnsembleKalmanProcesses.jl: Derivative-free ensemble-based model calibration

Julia

10.21105/joss.04869

Displaying papers 1 - 10 of 11 in total

← PreviousNext →

Table of Contents
Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2475-9066