Including codes about reading, interpolating, masking NetCDF data of GCMs and calculating metrics to evaluate models' performance on droughts.
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Updated
Jan 11, 2021 - Jupyter Notebook
Including codes about reading, interpolating, masking NetCDF data of GCMs and calculating metrics to evaluate models' performance on droughts.
Climate Analysis and Exploration using Python and SQLAlchemy to do basic climate analysis and data exploration of your climate database. Analysis are completed using SQLAlchemy ORM queries, Pandas, and Matplotlib.
Standardized, documented code files for oceanography project work at Ocean Data Lab
Interactive deployable visualisation of volcanic datasets provided for TAR experiments of the ISA-MIP climate model intercomparison initiative.
Repurposing Climate Data - talk at NeIC 2019 Conference "Nordic Infrastructure for Open Science"
Sibia Global AI is a collaborative initiative driven by experts from academia and industry to catalyze impactful work at the intersection of climate change and machine learning.
SQLAlchemy Homework: Analysis of Temperature & Precipitation in Hawaii
Week 10 - A look at advanced data storage and retrieval using Python SQLAlchemy and SQLite
Climate Analysis for a holiday vacation in Honolulu, Hawaii
SQLAlchemy and Flask implementation
A Statistician reads published Climate Science
Analysis and data exploration of a climate database using SQLAlchemy ORM queries, Pandas, and Matplotlib and a Flask API based on those queries.
Analysis of Hawaiian climate using SQLAlchemy, python, SQL, pandas. A web application has also been created using Flask-API to showcase the results.
convert GrADS code of prof. Wang to python code.
Analyze the climate of Hawaii utilizing Python, SQLAlchemy ORM queries, Pandas, and Matplotlib for precipitation, rainfall, and other weather-related data.
For the purpose of trip planning, a local climate analysis is performed and an app built for visualization.
Surfs Up! Planning a trip to Hawaii and analyzing weather data. By making a connection to a .sqlite file using SQLAlchemy, a pandas dataframe is created to generate precipitation and temperature plots. Data is then pushed to a flask API.
R class WLDiagram draws a Walter and Lieth (1960) diagram.
This challenge involves python and SQLAlchemy to do climate analysis and data exploration of the climate database
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