gher-uliege / DINCAE
DINCAE (Data-Interpolating Convolutional Auto-Encoder) is a neural network to reconstruct missing data in satellite observations.
☆47Updated 9 months ago
Alternatives and similar repositories for DINCAE:
Users that are interested in DINCAE are comparing it to the libraries listed below
- DINCAE (Data-Interpolating Convolutional Auto-Encoder) is a neural network to reconstruct missing data in satellite observations.☆23Updated this week
- Data Interpolating Empirical Orthogonal Functions☆57Updated last month
- Python code and Jupyter notebooks support the manuscript "Relative contributions of large-scale atmospheric circulation dynamics and anth…☆16Updated last year
- pyEOF: Empirical Orthogonal Function (EOF) analysis and Rotated EOF analysis in Python☆43Updated 3 years ago
- A repository with Jupyter notebooks that reproduce the analyses and figures included in the manuscript "Global changes in oceanic mesosca…☆20Updated 3 years ago
- Hybrid physical-ML models (source code of "Soil Moisture Forecasting integrating Physical-based Model with Deep Learning", Advanced in A…☆14Updated last year
- matlab code used for analysis in Jacox et al. 2022☆10Updated 2 years ago
- Jupyter notebooks for WRF-Hydro trainings☆52Updated 5 months ago
- Statistical Downscaling for Climate Change Projections with a Graphical User Interface☆30Updated last month
- A line of code to analyze climate☆35Updated last week
- Readers for the data from the International Soil Moisture Network☆41Updated 4 months ago
- A Python Package for Statistical Analysis of Climate☆58Updated 5 months ago
- EOF Toolbox for oceanic and atmospheric data☆15Updated 4 years ago
- Command Line Interface to download ERA5 from Copernicus Climate Data Service☆49Updated 2 months ago
- Code used to identify and analyze drought clusters from gridded data.☆23Updated 2 years ago
- (Semi-official) repository of "Deep-Learning-Based Gridded Downscaling of Surface Meteorological Variables in Complex Terrain".☆14Updated 3 years ago
- The application of Python in atmospheric and oceanic science / Python 在大气海洋中的应用☆16Updated 3 years ago
- xarrayMannKendall is a module to compute the significance of linear trends over 2D and 3D arrays using the Mann-Kendall method.☆23Updated last year
- Python code to manage ERA5 downloads at NCI☆31Updated 3 years ago
- Machine learning based methods for satellite precipitation downscaling☆15Updated 7 years ago
- The Climate Variability Diagnostics Package for Large Ensembles (CVDP-LE) developed by NCAR's Climate Analysis Section is an automated an…☆11Updated 7 months ago
- Isotope-enabled CESM1.2☆21Updated 4 years ago
- Simulate SEVIRI satellite channels from WRF output☆17Updated 3 weeks ago
- Bias Correction Tool for GPM precipitation data☆10Updated 2 years ago
- Examples of CMIP6 cloud data analysis with Pangeo☆23Updated 7 months ago
- Notes and practicals for my "Physics of the Climate System" lecture☆27Updated 5 months ago
- GOES-16 Convective Initiation Benchmark☆17Updated 2 years ago
- ClimWIP allows to calculate & apply performance and independence weights to CMIP models☆14Updated 4 years ago
- ☆10Updated 3 years ago
- Reservoir Assessment Tool☆25Updated this week