o-waring / subseasonal_forecasting
Using a hybrid spatial-temporal deep learning approach to forecast subseasonal weather across 514 Western USA geographical regions
☆9Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for subseasonal_forecasting
- Causality-structured LSTM (source code of "Causality-Structured Deep Learning for Soil Moisture Predictions", Journal of Hydrometeorology…☆14Updated 2 years ago
- ConvLSTM for short-term precipitation forecasting.☆19Updated 5 years ago
- Visualize Himawari-8 satellite data☆15Updated 2 years ago
- Hybrid physical-ML models (source code of "Soil Moisture Forecasting integrating Physical-based Model with Deep Learning", Advanced in A…☆12Updated last year
- TensorFlow implementation of a Multi-Input ConvLSTM for predicting flood extent.☆17Updated 3 years ago
- Convolutional Recurrent Neural Networks for Predicting Sea Ice Concentration in the Arctic☆13Updated 3 years ago
- Extension of ConvLSTM and Time-LSTM for irregularly spaced images, appropriate for Remote Sensing☆20Updated 4 years ago
- Typhoon Prediction☆12Updated 4 years ago
- Meta Transfer Learning for Lake Temperature Prediction☆19Updated 3 years ago
- Implementation of Convolutional Encoder Decoder Network for short term (0 - 2 hours) weather forecasting.☆20Updated 3 years ago
- Code associated with the NeurIPS 2020 Climate Change workshop proposal paper "Graph Neural Networks for Improved El Niño Forecasting"☆33Updated 3 years ago
- A library designed to implement deep learning algorisms to climate data for weather and climate prediction.☆19Updated 2 years 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
- Source code for the publications on "a non-linear Granger-causality framework to investigate climate–vegetation dynamics", by Papagiannop…☆31Updated 4 years ago
- Interpretive deep learning for identifying flooding mechanisms☆16Updated 4 months ago
- code for HiSTGNN: Hierarchical Graph Neural Networks for Weather Forecasting, Information Sciences☆10Updated last year
- Images timeseries sequence with ConvLSTM for windspeed prediction & CNN cyclone intensity☆31Updated 2 years ago
- PNAS -- Historical change of El Niño properties sheds light on future changes of extreme El Niño☆12Updated 2 years ago
- Paper code for "Adapting a deep convolutional RNN model with imbalanced regression loss for improved spatio-temporal forecasting of extre…☆12Updated 3 months ago
- Optimal Multivariate-stratification Geographical Detector model☆12Updated last week
- 2021 “AI Earth”人工智能创新挑战赛 AI助力精准气象和海洋预测☆11Updated 3 years ago
- Bias correction of air quality CAMS model predictions by using OpenAQ observations.☆11Updated 3 years ago
- cellular automata (ca) land use change simulation winform application☆10Updated 7 years ago
- We propose to continuously predict the whole $station \times feature$ map in the next 1 to 48 hours with a convolutional LSTM (ConvLSTM, …☆10Updated 4 years ago
- quantile mapping applied to climate model output☆12Updated 6 months ago
- Code for paper "Thunderstorm nowcasting with deep learning: a multi-hazard data fusion model"☆31Updated last year
- Official source code for paper 《SAF-Net: A Spatio-Temporal Deep Learning Method for Typhoon Intensity Prediction》☆36Updated 2 years ago
- Precipitation Nowcasting using DL - CS230 Deep Learning course group project☆21Updated 4 years ago
- MSTGAN is an innovative method designed for multi-station urban air quality prediction, which fully considers the individual, global, and…☆13Updated 4 months ago