Name: Jinbo Wang
Type: User
Company: Jet Propulsion Laboratory
Bio: Physical oceanographer, machine learning enthusiast, PO.DAAC Project Scientist, working on the Surface Water and Ocean Topography mission.
Twitter: jinbowang
Location: Pasadena
Jinbo Wang's Projects
A challenge on the mapping of satellite altimeter sea surface height data organised by MEOM@IGE, Ocean-Next and CLS.
2022 virtual workshop on accessing and analyzing synthetic SWOT L2 SSH datasets in preparation for SWOT launch, hosted by NASA PO.DAAC.
A repo for notebook tutorials of POCLOUD data collections. (experimental)
Python client for NASA CMR
A specification that python filesystems should adhere to.
Initial public release of code, data, and model weights for FourCastNet
Extrapolate Sea Surface Height and Temperature data to get three dimensional ocean state.
Simple routine to find and read llc4320 data on NAS machines like Pleiades.
Routines to manipulate ECCO simulation 1/48 (LLC4320) with AMES supercomputers
Apply machine learning to PO.DAAC and Earthdata for science and applications
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
Massively parallel training of machine-learning based weather and climate models
Learning in infinite dimension with neural operators.
Offline calculation of particle trajectories
Codes for ODYSEA Mission Development.
Examples of analysis of ocean data and simulation outputs using xarray, xgcm, and pangeo.
Commonly used routines in Physical Oceanography.
Community codes for processing SWOT data. This is a community code repo, does not include the algorithms that belong to the project.
Routines used to support SWOT.
Explore the pathway toward scaled-up scientific analysis with Earthdata in the cloud.
A place to find tutorials on how to use PO.DAAC tools and services
Some codes used for the project in Mazloff et al. 2020