Slides used in support for the training on Climate data at BCC2020
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Updated
Feb 16, 2021 - CSS
Slides used in support for the training on Climate data at BCC2020
Better insights into collective climate actions
Cloud-based pipeline for ingesting and QA/QC of historical weather data supporting California’s energy sector.
Climate data analysis project exploring global temperature evolution over 800,000 years. Includes dataset merging, correlation analysis, linear regression and visualizations (Python, pandas, plotly).
Climate Data Operator Example
This repository contains the R scripts employed to perform the ecological niche models, and the niche overlap analyses contained in the article: "Ecological niche comparison among closely related tree species of Lauraceae using climatic and edaphic data." (In Press, Frontiers of Biogeography)
A compilation and exploration of GHG emissions data in multiple geospatial scales.
Application of the ARIMA model to forecast rainfall patterns. Leveraging time-series analysis techniques, it predicts future rainfall levels by analyzing historical data specifically from Bahawalnagar District, Punjab, Pakistan.
Examined 60 years of Mauna Loa CO2 data, utilizing Python, Jupyter, and essential libraries for preprocessing and advanced modeling, revealing key atmospheric trends.
From Drought to Floods: A Step-by-Step Guide.
A Python library to calculate anthropogenic carbon in the ocean.
Scalable pipeline for geospatial data processing: Direct ingestion from Microsoft Planetary Computer or batch processing of CHIRPS climate data with COG conversion, STAC metadata generation, and Azure GeoCatalog integration.
Find the ideal location on the Earth for you
Chinese Building Energy-Efficient Design Datasets
Predicción de temperaturas usando una red LSTM en PyTorch. Procesamiento de datos climáticos, entrenamiento de modelo y visualización de resultados.
Simple app to get live weather updates for location data.
Python client for the OpenClimate API
Load native METOP products in Julia
"Join our DAO to fund innovations that shield Earth from cosmic threats. Together, we can foster projects dedicated to planetary defense and sustainability."
Data Science Project on Weather Conditions in Spain.
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