nilodna
PhD in Physical Oceanography | Post Doctoral Researcher | Pythonist | sometimes an amateur rugby player
University of São PauloSP, Brasil
nilodna's Stars
lowlighter/metrics
📊 An infographics generator with 30+ plugins and 300+ options to display stats about your GitHub account and render them as SVG, Markdown, PDF or JSON!
alshedivat/al-folio
A beautiful, simple, clean, and responsive Jekyll theme for academics
odeke-em/drive
Google Drive client for the commandline
gee-community/geemap
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
acgeospatial/awesome-earthobservation-code
A curated list of awesome tools, tutorials, code, projects, links, stuff about Earth Observation, Geospatial Satellite Imagery
nasa/Transform-to-Open-Science
Transformation to Open Science
LaPreprint/LaPreprint
📝 A nicely formatted LaTeX preprint template
JaDogg/pydoro
🍅 pydoro - Terminal Pomodoro Timer
sdl60660/river-runner
Uses USGS/MERIT Basin data to visualize the path of a rain droplet to its endpoint.
royalosyin/Python-Practical-Application-on-Climate-Variability-Studies
This tutorial is a companion volume of Matlab versionm but add more. Main objective is the transference of know-how in practical applications and management of statistical tools commonly used to explore meteorological time series, focusing on applications to study issues related with the climate variability and climate change. This tutorial starts with some basic statistic for time series analysis as estimation of means, anomalies, standard deviation, correlations, arriving the estimation of particular climate indexes (Niño 3), detrending single time series and decomposition of time series, filtering, interpolation of climate variables on regular or irregular grids, leading modes of climate variability (EOF or HHT), signal processing in the climate system (spectral and wavelet analysis). In addition, this tutorial also deals with different data formats such as CSV, NetCDF, Binary, and matlab'mat, etc. It is assumed that you have basic knowledge and understanding of statistics and Python.
weecology/ogrants
Open grants list
jonathanlilly/time-series
Course files for "Ocean/Atmosphere Time Series Analysis"
wesleybowman/UTide
Python distribution of the MatLab package UTide
podaac/tutorials
The PO.DAAC Cookbook: A place to find data recipes and tutorials for PO.DAAC datasets, tools & services
myroms/roms
Regional Ocean Modeling System (ROMS)
gauteh/sfy
🌊 A lightweight wave buoy for near-shore deployments.
geoffstanley/neutralocean
Calculate neutral surfaces in the ocean, using Python
marisolgr/python_sat_tutorials
Tutorials to access and process time series of satellite data in the cloud
edoddridge/aronnax
An idealised isopycnal model that can be run either with n+1/2 layers, or with n layers and variable bathymetry.
DocOtak/gsw-xarray
Wrapper for gsw that will add CF attributes to xarray.DataArray outputs
liutongya/GLED
A global Lagrangian eddy dataset based on satellite altimetry (GLED v1.0)
trondkr/ERA5-ROMS
Download, and create ERA5 data forcing for ROMS
Alexander-Barth/ROMS.jl
Function and scripts to generate input files for the ROMS ocean model
xgcm/aerobulk-python
A python wrapper for aerobulk (https://github.com/brodeau/aerobulk)
chouj/POPapers
A twitter account to auto-share papers in the field of (Physical) Oceanography
lhico/docker4roms
Repository to store files related to docker and docker-compose, in order to run the Regional Ocean Model System.
lhico/pyroms_tools
Set of tools to create input files for ROMS simulations. Depends a little bit on PyROMS.
Igoratake/Delft3D_py
lhico/cdsapi_wrappy
A python wrapper for cdsapi
dksasaki/naive_taylor_diagram