gher-uliege / DINCAELinks
DINCAE (Data-Interpolating Convolutional Auto-Encoder) is a neural network to reconstruct missing data in satellite observations.
☆52Updated 5 months ago
Alternatives and similar repositories for DINCAE
Users that are interested in DINCAE are comparing it to the libraries listed below
Sorting:
- DINCAE (Data-Interpolating Convolutional Auto-Encoder) is a neural network to reconstruct missing data in satellite observations.☆30Updated 3 months ago
- Data Interpolating Empirical Orthogonal Functions☆61Updated 5 months ago
- pyEOF: Empirical Orthogonal Function (EOF) analysis and Rotated EOF analysis in Python☆42Updated 4 years ago
- Jupyter notebooks for WRF-Hydro trainings☆54Updated 4 months ago
- Python Package for Empirical Statistical Downscaling. pyESD is under active development and all colaborators are welcomed. The purpose of…☆55Updated 8 months ago
- A repository with Jupyter notebooks that reproduce the analyses and figures included in the manuscript "Global changes in oceanic mesosca…☆19Updated 4 years ago
- Command Line Interface to download ERA5 from Copernicus Climate Data Service☆56Updated 6 months ago
- A line of code to analyze climate☆48Updated 2 weeks ago
- Python code and Jupyter notebooks support the manuscript "Relative contributions of large-scale atmospheric circulation dynamics and anth…☆16Updated last year
- Maximum Covariance Analysis in xarray for Climate Science☆70Updated 2 years ago
- Deep learning approaches for statistical downscaling in climate☆71Updated 3 years ago
- A Python Package for Statistical Analysis of Climate☆63Updated last year
- Tool using python and cdo to apply daily climate downscaling with BCSD.☆37Updated 3 years ago
- Python code to manage ERA5 downloads at NCI☆33Updated 4 years ago
- ☆11Updated 3 years ago
- Notes and practicals for my "Physics of the Climate System" lecture☆28Updated last year
- Python API for the WRF-Hydro model☆61Updated last year
- Multivariable Integrated Evaluation Tool☆17Updated last year
- Python package to setup and run hydrologic models using data from Earth Engine☆19Updated 4 years ago
- xarrayMannKendall is a module to compute the significance of linear trends over 2D and 3D arrays using the Mann-Kendall method.☆23Updated 2 years ago
- Tutorials for basic analysis of CMIP6 climate models on the Google Cloud Platform.☆74Updated 5 years ago
- Generalized Analog Regression Downscaling (GARD) code☆33Updated last year
- Simulate SEVIRI satellite channels from WRF output☆24Updated 9 months ago
- (Semi-official) repository of "Deep-Learning-Based Gridded Downscaling of Surface Meteorological Variables in Complex Terrain".☆18Updated 4 years ago
- Statistical Downscaling for Climate Change Projections with a Graphical User Interface☆32Updated 10 months ago
- Simple tool written in Python to download cmip6 and (maybe) cmip5 files☆20Updated 6 months ago
- Atmospheric moisture tracking☆54Updated last month
- Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistica…☆94Updated last year
- ALpine Parameterized Glacier Model (ALPGM v1.2). Open-source regional glacier evolution model based on deep learning and parametrizations…☆43Updated 11 months ago
- climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge☆36Updated 2 years ago