MuSA
Snow data assimilation tool
A toolbox for integrating snow data assimilation models with meteorological forcing and observational data
MuSA: The Multiscale Snow data Assimilation System
15 stars
7 watching
10 forks
Language: Python
last commit: 11 days ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
dshean/snowtools | A collection of tools for processing and analyzing snow data from various sources. | 10 |
julianmack/data_assimilation | An implementation of an Autoencoder-based approach to data assimilation in physics and engineering applications | 36 |
egagli/sar_snowmelt_timing | An open-source toolbox for analyzing Sentinel-1 SAR data to identify snowmelt timing and runoff onset | 39 |
aazuspan/wxee | A Python interface between Earth Engine and xarray for processing time series data | 206 |
zmlabe/icevarfigs | Tools and scripts for analyzing climate data and producing visualizations | 82 |
marcyin/siac_gee | A software tool for processing satellite images from the Sentinel-2 mission using Google Earth Engine (GEE) APIs. | 59 |
ytarazona/scikit-eo | A Python package for analyzing and processing remote sensing data | 126 |
zilum/sacpy | A Python package for efficient statistical analysis of climate data | 57 |
martibosch/pylandstats | A Python library for analyzing landscape metrics and evolution | 83 |
ghislainp/snowoptics | A Python library for calculating snow surface reflectance and its correction for slope distortion. | 4 |
mingsongli/acycle | Software for analyzing time-series data in various fields, particularly climate research and education. | 81 |
geus-glaciology-and-climate/pypromice | An open-source Python package for processing and handling automated weather station data from Greenland. | 14 |
acannistra/planet-snowcover | A system for assessing snow cover using high-resolution satellite imagery and machine learning. | 20 |
dmbee/seglearn | A machine learning tool for time series data analysis and modeling | 571 |
glaciohack/xdem | Analyzes digital elevation models with robust and modular tools | 145 |