pyTMD
Tidal predictor
Software for predicting ocean tides and related phenomena
Python-based tidal prediction software
133 stars
11 watching
39 forks
Language: Python
last commit: 6 days ago
Linked from 2 awesome lists
geodesygeophysicsoceanographytides
Related projects:
Repository | Description | Stars |
---|---|---|
insarlab/pysolid | A Python wrapper for calculating solid Earth tides in three dimensions | 65 |
esmg/pyroms | Tools for processing input and output files from the Regional Ocean Modeling System | 141 |
pyswmm/pyswmm | Provides a Python interface to the US Environmental Protection Agency's Stormwater Management Model (SWMM) for hydraulic modeling and hydrology analysis. | 292 |
tidalcycles/vortex | An experimental Python port of TidalCycles' algorithmic pattern generation capabilities | 79 |
pysteps/pysteps | A Python framework for ensemble prediction and forecast verification in various weather-related fields | 469 |
tides-transit/tides | Provides tools and data formats for standardizing and managing transit operations data | 28 |
wizaron/deep-forecast-pytorch | A deep learning-based framework for predicting wind speeds using LSTM networks in PyTorch. | 177 |
tuw-geo/pytesmo | A Python toolbox for comparing and validating geospatial time series datasets with an initial focus on soil moisture observations. | 78 |
satellogic/orbit-predictor | A Python library for predicting the orbits of Earth-orbiting objects | 140 |
chrisleaman/py-wave-runup | Empirical wave runup models implemented in Python for coastal engineers and scientists. | 38 |
uber/orbit | A Python package for Bayesian time series forecasting and inference with probabilistic programming languages under the hood. | 1,883 |
johannfaouzi/pyts | A Python package for time series classification and analysis | 1,772 |
insarlab/mintpy | Software for analyzing InSAR time-series data from radar images to extract ground surface displacement information | 613 |
doi-bor/pyforecast | Tools for building predictive models of seasonal water flow and inflow forecasts | 28 |
microprediction/timemachines | Provides a simple and unified interface to various univariate time-series prediction algorithms | 405 |