
S2S Hindcast TC Tracks
d651062

Abstract:
This dataset contains tropical cyclone (TCs) tracks in the CESM2 S2S reforecasts for the period of 2002 - 2019. We use the TempestExtremes tracking algorithm to detect and track TCs (or TC-like disturbances) on the CESM2 CAM6 native grid, utilizing all 11 ensemble members and 6-hourly output of near-surface winds, sea level pressure, and geopotential thickness between 200 and 500 hPa. D
Temporal Range:
2002-01 to 2019-10
Variables:
U/V Wind Components |
Data Types:
Grid
Data Contributors:
UCAR/NCAR/CGD
Climate and Global Dynamics Division, National Center for Atmospheric Research, University Corporation for Atmospheric Research
Publications:
Li, Hui, Richter, Yaga, Lee, Chia-Ying, and Kim, Hyemi, 2022: Subseasonal Tropical Cyclone Prediction and Modulations by MJO and ENSO in CESM2. JGR Atmospheres, 127, 1-24 (DOI: 10.1029/2022jd036986).
Paul A. Ullrich, Colin M. Zarzycki, Elizabeth E. McClenny, Marielle C. Pinheiro, Alyssa M. Stansfield, and Kevin A. Reed, 2021: TempestExtremes v2.1: a community framework for feature detection, tracking, and analysis in large datasets. Geoscientific Model Development, 15, 5023-5048 (DOI: 10.5194/gmd-14-5023-2021).
Total Volume:
554.34 MB
Data Formats:
Related RDA Datasets:
Metadata Record:

Data License:

Citation counts are compiled through information provided by publicly-accessible APIs according to the guidelines developed through the https://makedatacount.org/ project. If journals do not provide citation information to these publicly-accessible services, then this citation information will not be included in RDA citation counts. Additionally citations that include dataset DOIs are the only types included in these counts, so legacy citations without DOIs, references found in publication acknowledgements, or references to a related publication that describes a dataset will not be included in these counts.
