Abstract. A benchmark dataset of radiation, heat, and CO2 fluxes
is crucial to land–atmosphere interaction research. Due to rapid
urbanization and the development of agriculture, the land–atmosphere
interaction processes over the Yangtze River Delta (YRD) of China, which is
a typical East Asian monsoon region, are becoming various and complex. To
understand the effects of various land cover changes on land–atmosphere
interactions in this region, a comprehensive long-term (2011–2019) in situ
observation campaign, including 30 min resolution meteorological variables (air
temperature, humidity, pressure, wind speed, and wind direction), surface
radiative flux, turbulent heat flux, and CO2 flux, was conducted at four
sites with two typical surface types (i.e., croplands and suburbs) in the
YRD. Analysis of the dataset showed that all four radiation components,
latent heat flux, sensible heat flux, soil heat flux, and CO2 flux
varied seasonally and diurnally at the four sites. Surface energy fluxes
exhibited great differences among the four sites. On an annual basis, for the
two cropland sites, the dominant consumer of net radiation was latent heat
flux. For the two suburban sites, in contrast, latent heating dominated from April to
November, whereas sensible heating dominated during the other months. Our present
work provides convincing evidence that the dataset has potential for
multiple research fields, including studying land–atmosphere interactions,
improving boundary layer parameterization schemes, evaluating remote
sensing algorithms, validating carbon flux modeling and inversion, and developing climate models for typical East Asian
monsoon regions. The dataset is publicly available at
https://doi.org/10.5281/zenodo.6552301 (Duan et al., 2022).