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whigg's Projects

crossovers icon crossovers

Working group for applying ICESat-2 data to change detection in areas without repeat-tracks (e.g., Alaskan glaciers sampled in the "land/vegetation mode")

crowdhydrology icon crowdhydrology

Aggregates water level height measurements from rivers and other water bodies across the U.S by receiving text messages with measurements from passerby citizen-scientists

crust1.0 icon crust1.0

Python adaptation of the Crust 1.0 model that also makes a kmz file to view the model with Google Earth.

cryo-toolbox icon cryo-toolbox

Public repo for Python modules which may be useful for parsing/plotting sea ice data (e.g. from NSIDC, seismic traces)

cryogrid icon cryogrid

This is the community version of CryoGrid, a numerical model to investigate land surface processes in permafrost environments.

cryogrid3 icon cryogrid3

CryoGrid is a one-dimensional land surface model dedicated to simulate ground temperatures in permafrost environments.

cryomlt icon cryomlt

Compensating for penetration in radar altimetry cryosphere elevation estimates using deep learning

cryopy icon cryopy

Collection of cryosphere related python functions I use everyday. Feel free to use and/or contribute!

cryosat_polygon_downloader icon cryosat_polygon_downloader

Contains codes which enable a user to obtain data from ESA CryoSat FTP website for a specific geographical grid

cryosatcu icon cryosatcu

This is for the source code storage for the cryosat group at Lamont in columbia university.

cryoscripts icon cryoscripts

Home of the NASA Cryospheric Sciences Python (Cryothon) meetup group - includes a few random scripts that might be useful for Cryospheric scientists

cryoseismology-processing-alps icon cryoseismology-processing-alps

Codes of 'Quantification of seasonal and diurnal dynamics of subglacial channels using seismic observations on an Alpine Glacier.' from Nanni et al. 2020

cse_258-machine-learning-report icon cse_258-machine-learning-report

Click on CSE258_A2_Latex.pdf to read our report: "Predicting Significant Wave Height Using Embedded Sensors in Surfboard Fins". The jupyter notebooks contain webscraping code and an exploratory data analysis on the webscraped data.

csp-sharad icon csp-sharad

A CosmoScout VR plugin which renders radar datasets acquired by the Mars Reconnaissance Orbiter.

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