A benchmark dataset of diurnal- and seasonal-scale radiation, heat, and CO 2 fluxes in a typical East Asian monsoon region

[摘要] A benchmark dataset of radiation, heat, and CO 2 fluxesis crucial to land–atmosphere interaction research. Due to rapidurbanization and the development of agriculture, the land–atmosphereinteraction processes over the Yangtze River Delta (YRD) of China, which isa typical East Asian monsoon region, are becoming various and complex. Tounderstand the effects of various land cover changes on land–atmosphereinteractions in this region, a comprehensive long-term (2011–2019) in situobservation campaign, including 30 min resolution meteorological variables (airtemperature, humidity, pressure, wind speed, and wind direction), surfaceradiative flux, turbulent heat flux, and CO 2 flux, was conducted at foursites with two typical surface types (i.e., croplands and suburbs) in theYRD. Analysis of the dataset showed that all four radiation components,latent heat flux, sensible heat flux, soil heat flux, and CO 2 fluxvaried seasonally and diurnally at the four sites. Surface energy fluxesexhibited great differences among the four sites. On an annual basis, for thetwo cropland sites, the dominant consumer of net radiation was latent heatflux. For the two suburban sites, in contrast, latent heating dominated from April toNovember, whereas sensible heating dominated during the other months. Our presentwork provides convincing evidence that the dataset has potential formultiple research fields, including studying land–atmosphere interactions,improving boundary layer parameterization schemes, evaluating remotesensing algorithms, validating carbon flux modeling and inversion, and developing climate models for typical East Asianmonsoon regions. The dataset is publicly available at https://doi.org/10.5281/zenodo.6552301 (Duan et al., 2022).

[学科分类] 眼科学