unakhat / Deep-Learning--Forecasting-Air-Pollution-in-Beijing-China-Machine-Learning-
☆17Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for Deep-Learning--Forecasting-Air-Pollution-in-Beijing-China-Machine-Learning-
- Python-based air emissions QA and reporting tool for CMAQ and CAMx model ready emissions inputs.☆11Updated last year
- Python for analyzing and visualizing spatio-temporal data☆26Updated 5 years ago
- Python for Climate and Meteorological Data Analysis and Visualisation☆21Updated 5 years ago
- Predicting weather by machine learning.☆13Updated 4 years ago
- Jupyter Notebook-based tutorial providing an overview of Satpy's features lasting about 4 hours☆55Updated 2 years ago
- Batch processing for HYSPLIT and FLEXPART☆7Updated 9 years ago
- Quick tutorial to evaluate Rainfall for a given Return Period with different probabilistic distributions implemented on Scipy☆24Updated 7 years ago
- Deep Neural Network with keras(TensorFlow GPU backend) Python: Satellite-Image Classification☆37Updated 6 years ago
- ☆13Updated 5 years ago
- Have a look at the challenges proposed for the 2019 edition of ECMWF's Summer of Weather Code.☆45Updated 5 years ago
- A land use model based on Cellular Automata and Agent-based modelling.☆45Updated 7 years ago
- Implementation of HySPLIT based trajectory modeling and analysis in python.☆6Updated 3 months ago
- Lesson 2: Data structures in Pandas and Geopandas☆10Updated 6 years ago
- Tutorials for spatial data processing and analysis in R and Python☆43Updated 5 years ago
- Bias correction of air quality CAMS model predictions by using OpenAQ observations.☆11Updated 3 years ago
- Reader for the ARL Hysplit input data format only based on python☆21Updated last year
- An introduction to netcdf files in R, python, and matlab☆29Updated 8 years ago
- Some tutorials for remote sensing using python (rasterio, numpy, gdal, etc)☆11Updated 8 years ago
- (py)Meteorological variable Interpolation based on Clustered Analysis☆14Updated 10 months ago
- Fast and accurate calculations for applications in atmospheric science☆13Updated last week
- ☆22Updated 5 years ago
- Python package for downloading ECMWF reanalysis data and converting it into a time series format.☆38Updated 2 weeks ago
- A Machine Learning Pipeline to Predict Vegetation Health☆31Updated 4 years ago
- Monitoring water levels of lakes and reservoirs using satellite imagery☆81Updated 3 years ago
- pre- and post- processors for CAMx, CMAQ, GEOS-Chem, etc☆17Updated 6 years ago
- Machine learning to predict floods☆62Updated 4 years ago
- Developed a novel algorithm to predict air pollution levels with state-of-art accuracy using deep learning and GoogleMaps satellite image…☆22Updated 6 years ago
- ☆14Updated 4 years ago
- Applying LSTM on river water level data☆32Updated 8 years ago
- a benchmark dataset for training and evaluating global cloud classification models.☆29Updated last year