big-data-lab-umbc / sea-ice-predictionLinks
☆19Updated 5 months ago
Alternatives and similar repositories for sea-ice-prediction
Users that are interested in sea-ice-prediction are comparing it to the libraries listed below
Sorting:
- IGARSS 2024 Tutorial "A Practical Session on Deep Learning Advances for Monitoring and forecasting Natural Hazards"☆30Updated last year
- EarthNet Models PyTorch - Deep Neural Networks for geospatial vegetation forecasting.☆35Updated 9 months ago
- Gaussian Process emulators in Python☆18Updated 6 years ago
- Machine learning based methods for satellite precipitation downscaling☆14Updated 8 years ago
- ☆20Updated last month
- A Python package for Earth forecasting transformer☆86Updated last year
- Modis land surface temperature image downscaling using NDVI as a predictor with random forest regression☆22Updated 3 years ago
- Models for the EarthNet2021 challenge.☆46Updated 11 months ago
- Code for paper "A Robust Generative Adversarial Network Approach for Climate Downscaling"☆11Updated 10 months ago
- DINCAE (Data-Interpolating Convolutional Auto-Encoder) is a neural network to reconstruct missing data in satellite observations.☆52Updated 3 months ago
- Deep Learning Models for Wildfire Danger Forecasting☆73Updated 2 years ago
- climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge☆36Updated last year
- Software to train/evaluate models to reconstruct missing values in climate data (e.g., HadCRUT4) based on a U-Net with partial convolutio…☆86Updated this week
- Hybrid physical-ML models (source code of "Soil Moisture Forecasting integrating Physical-based Model with Deep Learning", Advanced in A…☆16Updated last week
- GlabTop2 (Glacier bed Topography) model☆17Updated 8 months ago
- Today satellites provide a surface signature of the temperature with a high spatial frequency: ie a good horizontal resolution but a low …☆13Updated 5 years ago
- Downscaling Oceanographic Satellite Data with Convolutional Neural Networks☆22Updated 4 years ago
- Testing out Diffusion-based models for weather and PV forecasting☆14Updated last month
- ☆22Updated 4 years ago
- a GAN for precipitation downscaling☆41Updated 3 years ago
- A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.☆87Updated 5 months ago
- ☆11Updated 3 years ago
- Sentinel 2 and Landsat 8 Atmospheric correction☆37Updated last year
- Research and experiments for downscaling climate/weather data via generative learning☆34Updated 3 years ago
- Aiming to understand the factors influencing urban land surface temperature during the day and night☆18Updated 2 years ago
- ☆22Updated 4 years ago
- the Soil-Plant-Atmosphere Radiative Transfer model☆20Updated 3 years ago
- Implementation of convolutional conditional neural processes for statistical downscaling☆33Updated 4 years ago
- Code associated with the paper 'Seasonal Arctic sea ice forecasting with probabilistic deep learning'☆99Updated last year
- Retrieve sea ice type from Sentinel-1 SAR with CNN☆25Updated 4 years ago