coastal-modelling 开源项目推荐（30 个）

CHLNDDEV /OceanMesh2D

一个二维三角形网格生成器，具有用纯LAB（不需要工具箱）编写的预处理和后处理实用程序，专门设计用于构建求解沿海环境中浅水方程或波动方程的模型（ADCIRC、DVCOM、WaveWatch3、SWAN、SCHISM、Telemac等）。

chrisleaman /awesome-coastal

A curated list of awesome resources for coastal engineers and scientists

uaanchorage /GSoC

Alaska Project Ideas, mentored by the researchers and collaborators of University of Alaska and supported by open-source entities and enthusiasts in Alaska.

GeoscienceAustralia /eo-tides

Tide modelling tools for large-scale satellite Earth observation analysis

CHLNDDEV /oceanmesh

Automatic coastal ocean mesh generation in Python and C++. https://github.com/sponsors/krober10nd

fmemuir /COASTGUARD

Coastal Observation + Analysis using Satellite-derived Timeseries, Generated Using AI + Real-time Data

chrisleaman /py-wave-runup

Empirical wave runup models implemented in Python

robjameswall /dhitools

Python tools for working with DHI MIKE21

AquaticEcoDynamics /aed-science

Science description of the "AED" water quality model

alejandro-gomez /CoastCR

An open source package to estimate the coastal variations using R.

AquaticEcoDynamics /libaed-water

Code for the AED water quality model

CoastalModellingEnvironment /coastalme

Coastal Modelling Environment (CoastalME): geospatial modelling to simulate coastal morphological changes, decadal and longer.

AkshayPatil1994 /dopamine-fdm

LES and DNS channel flow solver with Immersed-Boundary method and synthetic eddy inflow generator

rom-py /rompy

Relocatable Ocean Modelling in PYthon: set up, run and analyse coastal ocean models from templated, validated configuration

IPH-ECO /iph-eco-model

IPH-ECO source code

mandithran /FEWS-RegionHome-Aus

This is a repository that integrates XBeach with FEWS. It is still under active development

cheginit /SI_2019_Coastal

Process-based assessment of US Gulf and East coast

tristan-salles /CoastProc-book

Lecture Note on Coastal Processes

rom-py /rompy-xbeach

XBeach nearshore morphodynamics model plugin for rompy

Jacob-DS-1 /holderness-bnn-coastal-change

Spatial prediction of 1990-2024 satellite-derived shoreline-change rates from physical, environmental and defence-related covariates. A focal Bayesian neural network is compared against statistical, geostatistical and machine learning benchmarks.