PCM analysis in Boundary Currents
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Updated
May 16, 2024 - Python
PCM analysis in Boundary Currents
A powerful, format-agnostic, and community-driven Python package for analysing and visualising Earth science data
Fetches data from NOAA and DarkSky for tide and wind information based on latitude and longitude.
Semi-Analytical Bayesian Error Retrieval (S.A.B.E.R.) is a tool to solve forward and inverse problems of Scalar Radiative transfer theory in water
QuinCe is an online tool for processing and quality control of data from scientific instruments, with a primary focus on oceanic data.
Common data and routines storage for LaMMA oceanographic modeling team
The ideal tool for exploring global marine biogeochemical cycles.
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A collection of Jupyter Notebooks made by Doug Latornell for sharing of Python code techniques and notes about model results analysis code.
Command-line tool based on Xarray and Dask for extraction of model variable time series from model products like SalishSeaCast, HRDPS & CANESM2/CGCM4.
The Oceanographic Multi-purpose Software Environment: a package for multi-physics and multi-scale earth science simulations.
A python library for Argo data beginners and experts
🌊 A lightweight wave buoy for near-shore deployments.
Python tools to read and process oceanographic data related to upwelling filaments
SST Forecasting System: A robust forecasting platform leveraging ERA5 reanalysis data and big data tools (Airflow, Spark, Cassandra, PostgreSQL) to predict Sea Surface Temperatures. Utilizes Facebook's Prophet and Random Forest models for precise predictions, integrated with Tableau for real-time data visualization.
Frank McQuarrie's working directory of scripts
🐍 + 🌊 A python framework for working with met-ocean data
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