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An API that repackages hydrology datasets from the Surface Water and Ocean Topography satellite into formats that make time-series analysis easier.
lang: Python
stars: 28
last activity:
Plant phenotyping using computer vision.
lang: Python
stars: 728
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Provides an efficient, scalable, and flexible way to store and access large, multi-dimensional arrays, the core data format used in climate models and observational datasets.
lang: Python
stars: 1.8K
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Aims to be the primary package used to analyze output from initialized dynamical forecast models, ranging from short-term weather forecasts to long-term climate forecasts.
lang: Python
stars: 251
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A global network of nearly 4000 autonomous probes measuring pressure, temperature and salinity from the surface to 2000m depth every 10 days.
lang: Python
stars: 213
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The Koster Seafloor Observatory is an open-source, citizen science and machine learning approach to analyse subsea movies.
lang: Python
stars: 7
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Designed to be used by researchers and public health professionals to forecast and assess the impact of climate on health outcomes.
lang: Python
stars: 16
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Aims to provide a way for Python users to discover and load data across a broad range of climate data products available on the Australian NCI supercomputer Gadi.
lang: Python
stars: 10
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A collection of tools in Python for reading, visualizing and performing calculations with weather data.
lang: Python
stars: 1.4K
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An open-source Python framework for the analysis of groundwater time series.
lang: Python
stars: 399
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A Python package that streamlines bioacoustic classifier deployment on edge devices like the Raspberry Pi.
lang: Python
stars: 34
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A framework to develop energy system models, with a focus on flexibility, high spatial and temporal resolution, the ability to execute many runs based on the same base model, and a clear separation of framework and model.
lang: Python
stars: 339
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Used to generate experiments using the JEDI data assimilation system and NASA's Goddard Earth Observing System (GEOS) numerical weather forecast mode.
lang: Python
stars: 17
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An implementation of the FV3GFS / SHiELD atmospheric model developed by NOAA/GFDL using the NDSL middleware in Python, itself based on GT4Py and DaCe.
lang: Python
stars: 20
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Provides a powerful simulation toolkit for thermal engineering plants such as power plants, district heating systems or heat pumps.
lang: Python
stars: 342
last activity: