Inter-sensor Bias Estimation in Sea Surface Temperature
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Updated
Jun 21, 2017
Inter-sensor Bias Estimation in Sea Surface Temperature
A place to see and download cliwoc data, the climatological database for the world's oceans 1750-1850.
Python module to compute Singularity Exponents
Drifters Project
Python Scripts that analyze and plot the attributes of oceanic and atmospheric data, intentionally collected from the Weddell Sea.
UCLA Marine Data Visualization application/GUI in development in python for the Marine Operations Program at UCLA. Used to depict Ocean temperature along with GPS data ovelayed on a map. Check out the Marine Operations Program at: https://dept.atmos.ucla.edu/marineops
Functions used to create global (or regional) maps of ocean data (e.g. satellite, model output, WOA). Data sets are converted to raster images and plotted using the levelplot function in R. This is for both concentrations and relative changes over time.
Visualise 3D data from OpenDAP in a Jupyter Notebook
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.
Hack for the Sea 2020 - October 2020 in Gloucester, MA
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.
plot surface maps for ocean data
A Python module (with a GUI interface) to download data and manipulate/convert netCDF-files
Data correlation with ocean variables and the SIMBA platform who provides information about animals found at Brazil beaches.
A MATLAB toolbox for interacting with bulk freely-available oceanographic data.
Final Project for LightHouse Labs, in partnership with OceanWise
MITx - MicroMasters Program on Statistics and Data Science - Data Analysis: Statistical Modeling and Computation in Applications - Fifth Project
Using time-series ARIMA model to analyze the water quality from remote sensing satellite images data and raise public awareness through web development. Site deployed on netlify platform : https://skavithaqua.netlify.app
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