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.

Some tips of Python in the Atmospheric Science

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 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.

R.Weather CDMS, es un sistema computacional que integra colecciones de datos y su representación espacial, facilitando el registro, manejo, análisis, distribución y utilización de datos hidroclimatológicos.

convert GrADS code of prof. Wang to python code.

Development and evaluation of a parallel climate analysis tool using MPI, openMP and Dask

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.

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.

SQLAlchemy Homework: Analysis of Temperature & Precipitation in Hawaii