HENS tropical cyclone track dataset
Data files
Feb 11, 2026 version files 1.79 GB
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hens_tcs.tar.gz
1.79 GB
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README.md
2.78 KB
Abstract
This data consists of tracks of actual tropical cyclones and hurricanes as emulated by the machine-learning-based Huge Ensemble (HENS) [Mahesh et al., 2025a,b]. The matching between HENS and the actual storm tracks from the International Best Track Archive for Climate Stewardship (IBTrACS) Project, Version 4.01 [Knapp et al., 2010] are described in Zeba et al. [2026].
1. Data Description
This document provides a comprehensive overview of the HENS Tropical Cyclone Tracks Dataset, including data description, directory and file structure, file contents, and references.
2. Directory and File Structure
The HENS tracks are organized chronologically. All ensemble members generated for a specific day are aggregated into a single directory named after the ensemble's initialization date.
Directory Naming Convention
HENS_summer23_YYYYMMDDT000000/
YYYYMMDD: Initialization date, whereYYYYis the four-digit yearMMis the two-digit monthDDis the two-digit day
File Naming Convention
Within each daily directory, individual files correspond to the tracks of each ensemble member for that specific initialization date:
ensemble_out_0NNNN_YYYY-MM-DD-00-00-00.txt
NNNN: The HENS ensemble-member number (ranging from 0 to 7423).YYYY-MM-DDis still the initialization date in a different format.
Example Hierarchy
data/
└── HENS_summer23_20230831T000000/ # Directory for Aug 31, 2023
├── ensemble_out_00000_2023-08-31-00-00-00.txt
├── ensemble_out_00001_2023-08-31-00-00-00.txt
└── ... (up to member 07423)
3. File Contents
Each file contains the tracks of all storms detected within the corresponding ensemble member.
Each track begins with a start line, followed by multiple subsequent data lines describing the storm evolution.
Start Lines
Start lines indicate the beginning of a new storm track.
- Example:
start 15 2023 8 31 0 - Format:
start [Number of Points] [Year] [Month] [Day] [Hour] - The number of points indicates how many subsequent data lines will follow for that storm.
[Hour]is in 24-hour format (00–23) and expressed in UTC
Subsequent Data Lines
These lines provide the physical and temporal attributes of the storm at specific time steps.
- Example:
1117 230 279.250000 32.500000 9.893917e+04 2.033962e+01 2023 8 31 18
| Column | Data Description | Example Value |
|---|---|---|
| 1 | Longitude Index | 1117 |
| 2 | Latitude Index | 230 |
| 3 | Longitude (Degrees East) | 279.250000 |
| 4 | Latitude (Degrees North) | 32.500000 |
| 5 | Sea Level Pressure (hPa) | 9.893917e+04 |
| 6 | Wind Speed (m/s) | 2.033962e+01 |
| 7 | Year | 2023 |
| 8 | Month | 8 |
| 9 | Day | 31 |
| 10 | Hour (24-hour format, UTC) | 18 |
