NOAA-ORR-ERD/adios_oil_database

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NOAA-ORR-ERD/adios_oil_database

NOAA-ORR-ERD

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System for managing petroleum, product data for use in oil spill response

gridded

A single API for accessing / working with gridded model results on multiple grid types

PyGnome

The General NOAA Operational Modeling Environment

lat_lon_parser

Module to parse a latitude-longitude string into decimap degrees.

cell_tree2d

Cell Tree data structure for fast searching of an unstructured grid for the polygon containing the specified point

Jupyter Notebook

compass-rose-ui

Compass Rose UI - a javascript control for selecting velocity and direction for wind and water.

OilLibrary

The NOAA library of oils and their properties.

wave_utils

Python utilities for computing properties of ocean waves

py_gd

python wrappers for libgd graphics drawing lib

noaa-oil-data

The data used in the NOAA ADIOS Oil Database: https://adios.orr.noaa.gov

model_catalogs

Python library for developing and working with catalogs of oceanographic model results

GnomeTools

Assorted libraries and scripts for working with the General NOAA Operational Modeling Environment

WebGnomeClient

Javascript client that uses the WebGnomeAPI to create and run py_gnome models.

nc_particles

Project for Documentation and Examples of a standard for a netcdf format for Particle Tracking Model results

Jupyter Notebook

py_contour

wrappers around a C library contouring code

PyNUCOS

Python NOAA Unit Converter for OIl Spills

wxmpl

Painless matplolib embedding for wxPython

OilLibraryAPI

A web-based querying api for the oil library

jsNUCOS

NOAA Unit Conversion for Oil Spills

post_gnome

Tools for post-processing output from the NOAA GNOME model

LibGOODS

Library for accessing data useful for the NOAA / GNOME model

WebGnomeAPI

The API service that interfaces with py_gnome

wxNUCOS

wxPython based GUI For the NOAA Unit Converter for Oil Spills

windtools

Handy utilities for working with wind data

geometry_utils

Utilities for basic computational geometry directly with numpy arrays.