Climate Data Science and Earth Observation with Python.
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Updated
Oct 10, 2020 - Jupyter Notebook
Climate Data Science and Earth Observation with Python.
Add geolocalised subsetting, masking, and plotting operations to xarray
Model2roms is a Python toolbox for creating forcing files required to run Regional Ocean Modeling System (ROMS)
Load and create NetCDF files in Julia
《NCL数据处理与绘图实习教程》源程序库+测试数据链接
A Python interface between Earth Engine and xarray for processing time series data
Notebooks Python to download and view ERA5 climatologic data, as well as to extract time series (hourly to monthly data on many atmospheric and land-surface parameters)
GPS derived Precipitable Water Vapor (PWV) analysis tools with ML application: Flash Flood prediction in the Eastern Mediterranean area.
👣 Calculate your carbon footprint easily using a command line interface (10+ metrics, .PDF report).
Experiments in climatological time series analysis using deep learning
气象&海洋数据分析与可视化
Created to automate the climatological analysis workflows USACE Regulatory Project Managers are required to perform to comply with long-standing agency guidance as well as the new Navigable Waters Protection Rule, effective June 22, 2020..
Scrape Brazilian climate data
Analysis of various climatological times series using Continuous Wavelets Transform
Climate Variability Indices for Ecological Modelling
PRAGA PRogram for AGrometeorological Analysis
Objective Cyclone Tracking ANalysis Tools
Python package for automated detection and tracking of cumulus clouds from satellite data
A Bayesian hierarchical model for Earth temperature reconstruction and prediction based on proxy data and climate forcings.
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