ClimateNet is an open, community-sourced human-expert-labeled curated dataset that captures tropical cyclones (TCs) and atmospheric rivers (ARs) in high resolution climate model output,Community Atmospheric Model (CAM5.1), for 459 time steps from 1996 to 2013. It also provides deep learning-based tools to quick detection and tracking of extreme weather events.
ClimateNet is based 25 km Community Atmospheric Model (CAM5.1) output which contains dozens of physical variables. A subset of six variables as list below are used in creating labels for TCs and ARs through ClimateContours tool.
| Variable | Units |
|---|---|
| Integrated Vapor transport | kg m -1 s -1 |
| Integrated water vapour | mm |
| Vorticity | s-1 |
| Surface wind vectors | ms-1 |
| 8.50 hPa wind vectors | ms-1 |
| Sea level pressure | hPa |
The labels contains both tropical cyclone and Atmospheric River as shown below. It is a segmentation mask of size (1152,768) which takes the value of 0 (BG), 1 (TC), or 2 (AR).
Datasets
There are two versions of ClimateNet Datasets available under the NCI project wb00. You need to join project wb00 through mancini to access the ClimateNet dataset.
Version 2021
This is the replica of the original ClimateNet dataset from https://portal.nersc.gov/project/ClimateNet
The dataset is located under /g/data/wb00/ClimateNet/v1/2021
The DL method to operate this version of ClimateNet dataset could be found here.
version 2023
This is the replica of the a feature engineered ClimateNet dataset from https://huggingface.co/datasets/rlacombe/ClimateNet
The dataset is located under /g/data/wb00/ClimateNet/v1/2023
The DL method to operate this version of ClimateNet dataset could be found here which is described here.