Dataset of Tropical Cyclone in a High-Resolution Global Nonhydrostatic Atmospheric Simulation

Published: 6 March 2023| Version 1 | DOI: 10.17632/xtvvkfvycr.1
Contributors:
Daisuke Matsuoka,
,
,

Description

This dataset comprises a time series of tropical cyclones that were simulated using the high-resolution Nonhydrostatic Icosahedral Atmospheric Model (NICAM). By tracking tropical cyclones over a period of 30 years of climate simulation data, 2463 tracks that encompass the life stages of precursors (pre-TCs), tropical cyclones (TCs), and post-tropical cyclones (post-TCs) were extracted. Each data in the track contains information about the time, longitude, latitude, maximum wind speed at 10m, minimum central pressure, elapsed time since onset, and life-stage label of the tropical cyclone. The number of steps for pre-TCs, TCs, and post-TCs were 45288, 55206, and 37312, respectively. The dataset for each step also consists of atmospheric field data of various physical quantities, including outgoing longwave radiation (OLR) at the top-of-the-atmosphere, sea level pressure (SLP), sea surface temperature (SST), specific humidity at 600 hPa, and zonal and meridional winds at 850 and 200 hPa over a 1000 km square area that encompasses a tropical cyclone at its center. This dataset holds immense potential for developing machine learning models for detecting, predicting the intensity, and predicting the cyclogenesis of tropical cyclones.

Files

Institutions

Kaiyo Kenkyu Kaihatsu Kiko

Categories

Computer Simulation, Climate Data, Tropical Cyclone

Funding

KAKENHI

22H01316

PRESTO

JPMJPR1777

Licence