A meta-repository which essentially lists code related to all tools and services software for NASA JPL's PO.DAAC
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Updated
May 5, 2025 - Python
A meta-repository which essentially lists code related to all tools and services software for NASA JPL's PO.DAAC
🐉 AI forecasts of global sea-surface temperature and ENSO, 1–16 months ahead (Advanced Science 2026). Live: canglong.earth · Hugging Face Space
Satellite SST maps and buoy temperature data for monitoring Marine Heatwaves
Repository for Unsupervised Inpainting for Occluded Sea Surface Temperature Sequences (Yin et al., 2019)
Sea Surface Temp Visualization
Open Source available to download oceanographic data (Observation data or Numerical Model outputs)
Repository of python-based Jupyter Notebooks for learning about using the Copernicus Sentinel-3 SLSTR sensor for marine applications.
Review of uncertainty in in situ sea-surface temperature measurements
Sea Surface Temperature (SST) – Data Procurement, Analysis and Machine Learning (ML) Foundations
台灣環境開放資料策展 — 海洋・氣候・水文・能源・空品・地震,每個來源附實測存取方法與踩過的坑,外加四個真實混淆稽核案例。Curated Taiwan environmental open data (ocean/climate/energy/air/seismic) with verified access recipes, gotchas & worked confound-audit case studies.
MATLAB toolbox to download sea surface temperatures from the NOAA
Filling in missing values of Sea Surface Temperature
Matlab and shell scripts associated with the paper "Correcting datasets leads to more homogeneous early 20th century sea surface warming" by Duo Chan, Elizabeth C. Kent, David I. Berry, and Peter Huybers.
Python notebooks and scripts for Great Lakes phenomena including lake breezes, upwellings, cloud cover, and buoy data.
Repository of python-based Jupyter Notebooks for learning about using the Copernicus Sentinel-3 SLSTR sensor for marine applications.
Inter-sensor Bias Estimation in Sea Surface Temperature
Matlab functions to import the high-resolution sea surface temperature data from the JPL OurOcean group
Matlab scripts associated with the paper "Systematic differences in bucket sea surface temperatures caused by misclassification of engine room intake measurements" by Duo Chan and Peter Huybers.
Visualizing timelines of daily sea surface temperatures 1982-2024
Oceanographic analysis of Sea Surface Temperature anomalies from 1982 to 2024, investigating long-term trends and temporal variability using Python.
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