
This dataset contains the output from the single-column version of the Community Atmospheric Model (CAM) used to investigate the sensitivity of the summertime diurnal precipitation cycle over China to different convective trigger and closure treatments. Here focuses on three distinct regions with contrasting precipitation regimes: the Tibetan Plateau (TP, 31°–35°N, 90°–94°E, afternoon-peaking), Southeastern China (SECN, 24°–28°N, 112°–116°E, afternoon-peaking), and the Sichuan Basin (SCB, 28°–32°N, 103°–107°E, nocturnal-peaking). Simulations: Control (CTRL): *_b.nc Sensitivity (SENS): *_g.nc Methodology / Methods: Model: Single Column Model (SCM) version of the Community Atmospheric Model (CAM). Convection Schemes: ZM: Zhang & McFarlane (1995) with modifications (dCAPE trigger + elevated convection) in SENS. TDK: Tiedtke (1989) updated by Bechtold et al. (2014), with non-equilibrium closure applied in SENS. UNICON: Park et al. (2014) unified convection scheme, with cold-pool feedback and elevated convection enabled in SENS (Park et al., 2024). Simulation Period: 1 June – 31 August 2021 (daily reinitialization at 00 UTC, 36-hour integration; last 24 hours retained). Forcing: ERA5 reanalysis (Hersbach et al., 2020) Details of parameterization configurations:
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
