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ams-ml-python-course

Machine Learning in Python for Environmental Science Problems AMS Short Course Material

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

awesome-satellite-imagery-datasets

🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

cesium

An open-source JavaScript library for world-class 3D globes and maps :earth_americas:

climada_python

Python (3.6+) version of CLIMADA

climatemodeling_courseware

A collection of interactive lecture notes and assignments, mostly in IPython notebook format.

crisismappingtoolkit

NASA Ames Crisis Mapping Toolkit

dash-sample-apps

Apps hosted in the Dash Gallery

ferret

folium

Python Data. Leaflet.js Maps.

fortran

gcam-core

GCAM -- The Global Change Analysis Model

geemap

A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets

ipcc_sr15_scenario_analysis

Scenario analysis notebooks for the IPCC Special Report on Global Warming of 1.5°C

magpie

Model of Agricultural Production and its Impact on the Environment (MAgPIE) - model code

matlabcodes

MISR-HR

message_ix

The integrated assessment and energy systems model MESSAGEix

metpy

MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.

nasa-latex-docs

An easy and convenient package to create technical LaTeX documents.

phi-net

Phi-Net is a novel deep learning methodology for the joint estimation of the Interferometric Synthetic Aperture Radar (InSAR) phase and coherence.

python-training

Notebooks teaching Python for use meteorology and atmospheric and climate sciences.

python_for_geosciences

Introduction to python use in geosciences.

rainfall_onset2

rainfall onset-cessation and extreme indices v2

rastermcwd

Script for the calculation of MCWD (Maximun Cumulative Water Deficit) in rainfall raster data (e.g. CHIRPS and TRMM). Calculation based in Aragão et al. (2007, https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2006GL028946).

remind

REMIND - REgional Model of INvestments and Development

rig

Rainfall Intensity Graphs (RIG) v.1.0 - 2018 Spring - A Google Earth Engine Tool developed for end-user the National Park Service at Navajo National Monument (NAVA) in northern Arizona. Quickly visualizes GPM or TRMM in space and gives rainfall intensity values for time.

satellite-image-deep-learning

Resources for deep learning with satellite & aerial imagery

siphon

Siphon - A collection of Python utilities for retrieving atmospheric and oceanic data from remote sources, focusing on being able to retrieve data from Unidata data technologies, such as the THREDDS data server.

smartmet-server

SmartMet Server

solar_energy_prediction_contest

Example code for the AMS Solar Energy Prediction Contest (http://www.kaggle.com/c/ams-2014-solar-energy-prediction-contest).