-
Updated
Jan 21, 2021
#
climate-analysis
Here are 57 public repositories matching this topic...
python
data-science
data
r
climate
resources
datascience
rstats
climate-data
hacktoberfest
climate-change
climate-analysis
Library of derived climate variables, ie climate indicators, based on xarray.
-
Updated
Feb 16, 2021 - Python
Here is a list of Climate Change Public Datasets 🌦 🌪 🌫 🌀 💧 🌊
-
Updated
Jan 20, 2021
Climate science package for Julia
timeseries
julia
parallel-computing
climate-indices
climate-science
netcdf-files
multiple-threads
bias-correction
climate-analysis
-
Updated
Jan 27, 2021 - Julia
Provides analysis for the MPAS components of ACME
-
Updated
Feb 9, 2021 - Python
csyhuang
commented
Oct 28, 2018
The instructions and configurations listed in hn2016_falwa/examples/ to run the sample codes are specific to conda users. It would be great to include instructions for pip/virtualenv users as well, as many scientists are actually using that.
CRITERIA-3D is a three-dimensional water balance for small catchments.
crop
spatial-analysis
water
heat
soil
boundary-conditions
environmental-modelling
hydrological-modelling
climate-analysis
water-balance
land-surface-modeling
subsurface-flow
catchments
agro-meteorological
meteorological-data-interpolation
3d-water-fluxes
criteria-3d
-
Updated
Feb 9, 2021 - C++
-
Updated
Jan 23, 2021 - Python
machine-learning
climate
climate-data
carbon
climate-model
co2
carbon-emissions
climate-science
climate-change
climatology
co2monitor
carbon-dioxide
carbon-footprint
co2-emission
climate-models
co2-emissions
climate-analysis
carbon-cycle
co2-measurements
co2-concentration
-
Updated
Jul 28, 2020 - HTML
Julia package that downloads satellite measurements and observational data
-
Updated
Jan 10, 2021 - Julia
Exploratory Data Analysis on the levels of CO₂ in the atmosphere. Understanding Climate Change with Machine Learning
-
Updated
Oct 24, 2019 - Jupyter Notebook
Python interface for CPT
modeling
calibration
mos
iri
seasonal
cpt
statistical-models
predictability
columbia-university
climate-analysis
subseasonal
-
Updated
May 25, 2020 - Jupyter Notebook
sustainability
voice-commands
climate-data
climate-model
carbon-emissions
climate-science
climate-change
climatology
sustainable-consumption
voice-assistant
sustainable-software
carbon-footprint
greta
sustainable
sustainable-development-goals
co2-emissions
climate-analysis
sustainable-cities-communities
sustainability-score
protea
-
Updated
Oct 16, 2019 - Python
Climate Simulation Operations
-
Updated
Feb 15, 2021 - Jupyter Notebook
Simple wrappers for processing netcdf files for use in simple climate models
-
Updated
Nov 12, 2019
Implementation of 5-equation simple climate model with state dependence
-
Updated
Oct 7, 2019 - Python
Libraries for agro-meteorological and climate analysis. They include a numerical solution for three-dimensional water and heat flow in the soil, water balance, meteorological data interpolation, daily weather generator, radiation budget, snow accumulation and melt, plant development and plant water uptake.
soil
plant-development
climate-analysis
water-balance
agro-meteorological
meteorological-data-interpolation
hydrologic-model
plant-water-uptake
radiation-budget
snow-accumulation
heat-flow
agrometeo
snow-melt
-
Updated
Feb 15, 2021 - C++
SQLAlchemy climate analysis, exploration, and application.
-
Updated
Aug 25, 2020 - Jupyter Notebook
An analysis of the effects of latitude on climate,including data visualization and geo-mapping.
-
Updated
Oct 20, 2020 - Jupyter Notebook
1. Use SQLAlchemy to perform climate data analysis and exploration; 2. design a Flask API based on the queries developed in Step 1.
-
Updated
Dec 11, 2020 - Jupyter Notebook
Imagine, You've decided to treat yourself with a long holiday vacation in Honolulu, Hawaii! To help with your trip planning, you need to do some climate analysis on the area. What about, doing that with SQL Alchemy? Aʻohe hopohopo, I shall help you with that! Stay tuned!
sqlite
flask-application
database-connection
flask-sqlalchemy
sql-alchemy
heroku-deployment
climate-analysis
-
Updated
Jul 25, 2020 - Jupyter Notebook
A dashboard aggregating the most relevant bits of the RCP8.5 debate.
ssp
climate-model
rcp
energy-system
energy-data
climate-change
ipcc
climate-analysis
iea
scenario-analysis
-
Updated
Jun 20, 2020 - HTML
Embedding Daisies in a 1D Energy Balance Model.
r
modeling
geophysics
gaia
climate-model
shiny-apps
climate-science
earth-system-model
climate-analysis
daisyworld
climate-physics
-
Updated
Jun 20, 2020 - HTML
-
Updated
Apr 11, 2019 - Jupyter Notebook
Developed Statistical Models and performed Hypothesis Testing on Time Series Climate Data to observe and predict trends in Climate Change. Analyzed Temperature, Polar Ice Caps, Green House Gases, Marine Datasets to predict the patterns for Sea Level Rise, Floods,GDP ,as a consequence of Global warming
-
Updated
Aug 10, 2018 - Jupyter Notebook
Own webpage and blog: academic and personal
-
Updated
Jan 28, 2021 - HTML
Climate analysis and exploration of Honolulu, Hawaii
-
Updated
Feb 23, 2020 - Python
Utilized Python and SQLAlchemy to conduct a climate analysis and data exploration of the climate database. Designed a query to retrieve the last 12 months of precipitation data, temperature data, total weather stations and active stations. Loaded the query results into a Pandas DataFrame and plotted the results.
-
Updated
Sep 13, 2020 - Jupyter Notebook
Week 10 - A look at advanced data storage and retrieval using Python SQLAlchemy and SQLite
-
Updated
Oct 29, 2020 - Jupyter Notebook
Improve this page
Add a description, image, and links to the climate-analysis topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the climate-analysis topic, visit your repo's landing page and select "manage topics."
I've been using
nb_blacklately and it's wonderful. https://github.com/dnanhkhoa/nb_blackWe can add this with
%load_ext lab_blackfor our notebook examples and it will auto-format every cell to fitblackto make it more clean and readable without us having to worry about it.