Clusters of atmopsheric and oceanic variables and teleconnections that are candidate drivers for Tropical Cyclogenesis - Northwest Pacific

hdl:21.14106/24c78bbfb4df996698bc362a53c5b7e74cac00e0

Dainelli, Filippo

Dataset
Summary
[ Derived from parent entry - See data hierarchy tab ]

This project provides the dataset employed for the development of a machine learning framework designed to detect and interpret Tropical Cyclone Genesis (TCG) activity across six major tropical ocean basins: North Atlantic, Northeast Pacific, Northwest Pacific, North Indian, South Indian, and South Pacific.
The dataset includes pre-processed environmental and climatic variables relevant to TCG dynamics, aggregated at the basin level with monthly resolution from January 1980 to December 2022. All data are derived from the ERA5 reanalysis dataset, with a spatial resolution of 2.5° × 2.5°. ERA5 reanalysis data were accessed through the DKRZ data pool, made available by DKRZ Data Management. The atmospheric and oceanic variables provided are absolute vorticity at 850 hPa, maximum potential intensity (MPI), mean sea level pressure (MSLP), relative humidity at 700 hPa, sea surface temperature (SST), relative vorticity at 850 hPa, vertical wind shear between 850 and 200 hPa, and vertical velocity at 500 hPa. Several of these variables are derived from ERA5 primary variables and represent physically meaningful diagnostics used widely in tropical cyclone research. To reduce spatial dimensionality, each variable has been clustered within each basin using the K-means algorithm, and the area-weighted mean value of each cluster is reported as a time series.
Additionally, the dataset includes monthly values of a suite of large-scale climate indices known to influence tropical cyclone activity: Atlantic Meridional Mode (AMM), Niño3.4, North Atlantic Oscillation (NAO), Pacific Decadal Oscillation (PDO), Pacific-North American Pattern (PNA), Southern Oscillation Index (SOI), Tropical Northern Atlantic Index (TNA), Tropical Southern Atlantic Index (TSA), and the Western Pacific Index (WP).
Lastly, for each basin, the dataset contains monthly counts of tropical cyclogenesis events, enabling evaluation of predictive models and interpretability methods.
This dataset is intended to support research in seasonal TCG detection, and it enables reproducibility of the methods developed in the associated study.
Project
CLINT (Climate Intelligence)
Additional Information
Clusters extent and location in the tropical sub-basins
Spatial Coverage
Longitude 100 to 180 Latitude 0 to 40
Temporal Coverage
1980-01-01 to 2022-12-31
Use constraints
Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/)
Data Catalog
World Data Center for Climate
Access constraints
registered users
Size
5.75 MiB (6026122 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Review Date
2025-10-02
Download Permission
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Preview data headers
Cite as
[ Derived from parent entry - See data hierarchy tab ]
Dainelli, Filippo (2025). Clusters of atmopsheric and oceanic variables and teleconnections that are candidate drivers for Tropical Cyclogenesis. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/CLINT_TC

BibTeX RIS
VariableAggregationUnit
air_pressure_at_mean_sea_level
CF
monthlyhPa
atmosphere_upward_absolute_vorticity
CF
monthlys-1
atmosphere_upward_relative_vorticity
CF
monthlys-1
downward_air_velocity
CF
monthlym/s
eastward_derivative_of_eastward_wind
CF
monthlym/s
eastward_derivative_of_northward_wind
CF
monthlym/s
eastward_wind_shear
CF
monthlym/s
model_level_number
CF
monthlyhPa
northward_derivative_of_eastward_wind
CF
monthlym/s
northward_derivative_of_northward_wind
CF
monthlym/s
northward_wind_shear
CF
monthlym/s
number_of_cyclogenesis_events_in_basin
monthly1
relative_humidity
CF
monthly%
sea_surface_temperature
CF
monthlydegC
wind_speed_shear
CF
monthlym/s

Parent

Clusters of atmopsheric and oceanic variables and teleconnections that are candidate drivers for Tropical Cyclogenesis
Details

Parent project(s)

Climate Intelligence

[Entry acronym: CLINT_TC_NWP] [Entry id: 5311649]