ramp-kits / storm_forecast
ramp kit for storm intensity forecasting
☆21Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for storm_forecast
- GOES-16 Convective Initiation Benchmark☆16Updated 2 years ago
- public codes for fusing CNN networks☆21Updated 4 years ago
- Tool using python and cdo to apply daily climate downscaling with BCSD.☆33Updated 2 years ago
- Python package for downloading ECMWF reanalysis data and converting it into a time series format.☆38Updated 2 weeks ago
- post-processing experiments with neural networks☆59Updated 2 years ago
- Beta for Pangeo Postprocessing☆15Updated 4 years ago
- A dataset plugin for climetlab for the dataset maelstrom-a1☆12Updated last year
- Materials for the Machine Learning in Python for Environmental Science Problems AMS 2020 Short Course☆29Updated 4 years ago
- Predicting weather by machine learning.☆13Updated 4 years ago
- machine learning for the atmospheric sciences - a CSU course☆30Updated last year
- ML Datasets Catalog☆55Updated last year
- climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge☆36Updated last year
- ☆111Updated 3 years ago
- python library for bias correction☆30Updated last year
- Climate analysis toolbox to investigate teleconnections, test for causality, and make forecasts.☆30Updated last year
- A statistical downscaling approach using ConvLSTMs.☆27Updated 3 years ago
- Climate Analytics using Deep Neural Networks in Python.☆59Updated last year
- Implementation of Climdex indices in Python/xarray/dask☆13Updated 4 years ago
- Deep Learning for Post-Processing Ensemble Weather Forecasts☆87Updated last year
- ☆32Updated last year
- A beginner's guide to carry out extreme value analysis, which consists of basic steps, multiple distribution fitting, confidential interv…☆51Updated 7 years ago
- Keras implementation for our paper "Improving AI system awareness of geoscience knowledge"☆14Updated 4 years ago
- Code for our WRR paper "Toward Improved Predictions in Ungauged Basins: Exploiting the Power of Machine Learning"☆41Updated 3 years ago
- a benchmark dataset for training and evaluating global cloud classification models.☆29Updated last year
- Examples of analysis of CMIP6 data using xarray and dask☆54Updated 4 years ago
- RDA apps clients. Subdirectories will be organized by language, e.g. python, perl, c++, bash☆31Updated 9 months ago
- Python code for MWR paper 'Using Artificial Neural Networks for Generating Probabilistic Subseasonal Precipitation Forecasts over Califor…☆12Updated 4 years ago
- The Land Variational Ensemble Data Assimilation fRamework (LaVEnDAR) implements the method of Four-Dimensional Ensemble Variational data …☆19Updated 3 years ago
- Deep learning for climate modeling.☆39Updated 5 years ago
- Bias Correction for Satellite Precipitation Observations☆12Updated 6 years ago