SCS-TCWave: an event-based hindcast dataset of typhoon waves and reconstructed wind fields for the South China Sea (1979–2025)

Abstract. Extreme-wave estimates for the South China Sea (SCS) depend on the peak sea states of tropical cyclones, yet reanalysis winds smooth the storm core and no openly archived, event-resolved typhoon wave record exists for the basin. We present SCS-TCWave, an event-based hindcast of the 480 tropical cyclones that reached tropical storm intensity inside the SCS during 1979–2025. Each event is forced by 10-m winds reconstructed from best-track records (a Holland-type vortex with motion asymmetry and far-field gale-radius anchoring, blended into ERA5) and simulated with SWAN on one-way nested 0.25°/0.05° grids under a frozen, fully audited configuration. Each event ships three CF-1.8 NetCDF layers: hourly wave fields, the reconstructed wind forcing, and an extreme-value catalogue of per-cell event maxima. Validation against 64,529 calibrated altimeter super-observations from 187 events shows near-zero bias in background sea states and a single-signed core overestimation that grows with intensity (+1.15 to +2.99 m within 100 km of the centre). A distance-binned multiplicative correction annex with bootstrap confidence intervals centres the per-event peak distribution: the median relative error of per-event maxima moves from +9.5 % raw to −1.4 % corrected, with 78 % of events within ±25 %. At the highest observed peak (9.4 m, Pearl River estuary, Typhoon Mangkhut) the product stays within ±25 % where an identically configured ERA5-forced run does not; beyond 400 km ERA5-based products remain preferable, and this distance-based usage rule ships with the data. Method tiers, quality flags, the frozen configuration, and the full calibration record accompany the archive (https://doi.org/10.57760/sciencedb.011ul; Fang et al., 2026).

Authors

Institutions

Publication Details

Journal
Earth System Science Data Discussions
Published
2026-09-24
DOI
https://doi.org/10.5194/essd-2026-737
Primary Topic
Tropical and Extratropical Cyclones Research
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
preprint

SCS-TCWave: an event-based hindcast dataset of typhoon waves and reconstructed wind fields for the South China Sea (1979–2025)

Binzhen Zhou, Feifan Fang, Yifeng Yang, Peng Jin
Earth System Science Data Discussions
Tropical and Extratropical Cyclones Research
preprint

SCS-TCWave: an event-based hindcast dataset of typhoon waves and reconstructed wind fields for the South China Sea (1979–2025)

Binzhen Zhou, Feifan Fang, Yifeng Yang, Peng Jin
preprint en

Abstract

Abstract. Extreme-wave estimates for the South China Sea (SCS) depend on the peak sea states of tropical cyclones, yet reanalysis winds smooth the storm core and no openly archived, event-resolved typhoon wave record exists for the basin. We present SCS-TCWave, an event-based hindcast of the 480 tropical cyclones that reached tropical storm intensity inside the SCS during 1979–2025. Each event is forced by 10-m winds reconstructed from best-track records (a Holland-type vortex with motion asymmetry and far-field gale-radius anchoring, blended into ERA5) and simulated with SWAN on one-way nested 0.25°/0.05° grids under a frozen, fully audited configuration. Each event ships three CF-1.8 NetCDF layers: hourly wave fields, the reconstructed wind forcing, and an extreme-value catalogue of per-cell event maxima. Validation against 64,529 calibrated altimeter super-observations from 187 events shows near-zero bias in background sea states and a single-signed core overestimation that grows with intensity (+1.15 to +2.99 m within 100 km of the centre). A distance-binned multiplicative correction annex with bootstrap confidence intervals centres the per-event peak distribution: the median relative error of per-event maxima moves from +9.5 % raw to −1.4 % corrected, with 78 % of events within ±25 %. At the highest observed peak (9.4 m, Pearl River estuary, Typhoon Mangkhut) the product stays within ±25 % where an identically configured ERA5-forced run does not; beyond 400 km ERA5-based products remain preferable, and this distance-based usage rule ships with the data. Method tiers, quality flags, the frozen configuration, and the full calibration record accompany the archive (https://doi.org/10.57760/sciencedb.011ul; Fang et al., 2026).

Earth System Science Data Discussions
South China University of Technology (CN)
Life below water
Tropical and Extratropical Cyclones Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.