Name: Andrew Delman
Type: User
Company: University of California Los Angeles, and Jet Propulsion Laboratory
Bio: I am a research scientist studying ocean physics and climate. Interests include remote sensing and model-based studies of mesoscale ocean phenomena.
Location: Los Angeles, CA, U.S.A.
Blog: https://science.jpl.nasa.gov/people/Delman/
Andrew Delman's Projects
This repository contains a several tutorials for using the ECCO Central Production Version 4 ocean and sea-ice state estimate. Individiual lessons are provided as both Juypter notebooks (Tutorials_as_Jupyter_Notebooks/ ) and Python file (Tutorials_as_Python_Files/).
A Python library with routines that support the loading, analysis, and plotting fields of the ECCO Version 4 Ocean and Sea-Ice State Estimate. The ecco_v4_py library builds on several valuable tools such as xmitgcm, gcm, xarray, and dask.
Codes needed to implement the model-based downscaling (with depth adjustment) of GRACE ocean bottom pressure near steep bathymetry
MATLAB codes to compute the meridional heat transport and its spatial-scale decomposition, configured for POP simulations (ocean component of CESM) on a tripole grid.
Two-dimensional spatial filters, developed for application to ocean & atmosphere model output and gridded observations
Seasonal and process-based decompositions of the temperature budget, using output from POP (the ocean component of CESM)