RegiusQuant / ESIDLM
Enhanced Spatial-Temporal Interpretable Deep Learning Model
☆19Updated last year
Alternatives and similar repositories for ESIDLM:
Users that are interested in ESIDLM are comparing it to the libraries listed below
- Deep-learning Based Climate Downscaling of Precipitation Data☆10Updated 2 weeks ago
- Hybrid physical-ML models (source code of "Soil Moisture Forecasting integrating Physical-based Model with Deep Learning", Advanced in A…☆14Updated last year
- Causality-structured LSTM (source code of "Causality-Structured Deep Learning for Soil Moisture Predictions", Journal of Hydrometeorology…☆16Updated 2 years ago
- Soil quality both increases crop production and improves resilience to climate change☆10Updated 2 years ago
- Visualize Himawari-8 satellite data☆15Updated 2 years ago
- quantile mapping applied to climate model output☆12Updated 8 months ago
- Meta-learning for climate sciences☆12Updated 9 months ago
- Quantification of global drought recovery probability based on Vine Copula☆14Updated 11 months ago
- Some very simple meteorology function written in python;几个简单的气象相关的函数☆16Updated 8 months ago
- Repo for the paper: Climate change in the High Mountain Asia in CMIP6☆13Updated 3 years ago
- Streamflow Prediction in (Dammed) Basins (SPDB) with Deep Learning models☆11Updated last year
- Some tips of Python in the Atmospheric Science☆11Updated 3 years ago
- Jupyter Notebooks demonstrating basic wrf-python usage.☆12Updated 3 years ago
- (Semi-official) repository of "Deep-Learning-Based Gridded Downscaling of Surface Meteorological Variables in Complex Terrain".☆14Updated 3 years ago
- Datasets that can be used as example inputs/outputs for the associated `climate_indices` package☆13Updated 5 years ago
- reconstruct the IPCC AR6 figure☆12Updated last month
- 应用Penman-Monteith公式计算气象站的潜在蒸散发（PET）☆14Updated 4 years ago
- This repository is to identify drought, heatwave, and compound drought and heatwave events on a daily basis and across four seasons(daily…☆11Updated 3 weeks ago
- Including extents of the High-Mountain Asia region and the sub-resions, as well as the main rivers, lakes and glaciers vector data in th…☆15Updated last month
- PNAS -- Historical change of El Niño properties sheds light on future changes of extreme El Niño☆12Updated 2 years ago
- SEVIRI_ML: A machine learning based module to derive: (1) A cloud mask, (2) the cloud phase, (3) the cloud top pressure, (4) the cloud to…☆14Updated last year
- Spatio-Temporal Downscaling of Climate Data using Convolutional and Error-Predicting Neural Networks☆21Updated 3 years ago
- Accompanying code for CCAM dataset☆19Updated 11 months ago
- fill the GRACE gap using novel Transformer method☆11Updated last month
- use ANUSplin software to interpolate meteorology indices☆21Updated 3 months ago
- Python code and Jupyter notebooks support the manuscript "Relative contributions of large-scale atmospheric circulation dynamics and anth…☆16Updated last year
- This is a R pacakage to indentify flash droughts with different methods☆13Updated last year
- Python code to compute global teleconnections from rainfall data☆32Updated 9 months ago
- HydroAnalysis is a Python package to calculate indices and metrics useful in the everyday job of an hydrologist.☆11Updated 2 months ago
- This repository includes source codes for the DRM and 2-layer DRM (2L-DRM) models.☆12Updated 3 years ago