North China Record-Breaking Rainfall of July 2021 tied to the Arctic Sea-ice change

• Main Author: Jiaxin Ye
• Format: Other/Unknown Material
• Language: unknown
• Published: Zenodo 2022
• Subjects: CAM5; Sea-ice; Sea surface temperature; East Siberian Sea; Sea ice
• Online Access: https://doi.org/10.5281/zenodo.7055831

1、General Introduction: This dataset includes the model simulation data used in the article going to be submitted to Geophysical Research Letters, named “North China Record-Breaking Rainfall of July 2021 tied to the Arctic Sea-ice change”. The Community Atmosphere Model version 5 (CAM5; Neale et al., 2012) in the Community Earth System Model, version 1.2.1 (CESM1.2.1) with a 1.9 ◦ ×2.5 ◦ finite volume grid and 30 hybrid sigma pressure levels is utilized to conduct atmospheric model experiments. To validate the impact of the Arctic sea-ice, the Community Atmosphere Model version 5 (CAM5; Neale et al., 2012) in the Community Earth System Model, version 1.2.1 (CESM1.2.1) with a 1.9◦ ×2.5◦ finite volume grid and 30 hybrid sigma pressure levels is adopted. Two experiments are designed. One is called the control experiment (CTL). In this experiment, the model is forced by the seasonal-varying climatology of SST and SIC as the lower boundary forcing. Another is called the sensitivity experiment (SEN). This experiment is the same as the CTL except that SIC and SST over the Barents-East Siberian Sea region (50°–165°E, 70°–80°N) in June and July are set to be the observational values in 2021. Both the CTL and SEN experiments are integrated for 35 years including a 10-year spin-up, whilst the last 25-year ensemble mean is analyzed in the article. The differences between the SEN and CTL experiments (SEN-CTL) reflect the atmospheric responses to the reduced SIC and increased SST over the Barents-East Siberian Sea region in June-July 2021. 2、Description of this dataset: CTL represents the control experiment while SEN represents the sensitive experiment. OMEGA, PRECC, PRECL, T, U, V, Z3, and TS denote the vertical velocity, convective precipitation rate, large-scale (stable) precipitation rate, temperature, zonal wind, meridional wind, geopotential height, and surface temperature respectively. All files contain a time coverage from 1 to 35 model-year with a monthly time resolution. The post-processing from 30 hybrid sigma ...