Preprints
https://doi.org/10.5194/essd-2022-164
https://doi.org/10.5194/essd-2022-164
 
08 Jun 2022
08 Jun 2022
Status: this preprint is currently under review for the journal ESSD.

A benchmark dataset of diurnal- and seasonal-scale radiation, heat and CO2 fluxes in a typical East Asian monsoon region

Zexia Duan1,, Zhiqiu Gao1,3,, Qing Xu2, Shaohui Zhou1, Kai Qin2, and Yuanjian Yang1 Zexia Duan et al.
  • 1Climate and Weather Disasters Collaborative Innovation Center, Key Laboratory for Aerosol-Cloud-Precipitation of China 5 Meteorological Administration, School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing 210044, China
  • 2Jiangsu Key Laboratory of Coal-Based Greenhouse Gas Control and Utilization, School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou, 221116, China
  • 3State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China
  • The authors contributed equally.

Abstract. A benchmark dataset of radiation, heat and CO2 fluxes is crucial to land–atmosphere interaction research. Due to the rapid urbanization and the development of agriculture, land–atmosphere interaction process over the Yangtze River Delta (YRD) of China, which is the typical East Asian monsoon region, is becoming various and complex. To understand the effects of various land cover changes on land–atmosphere interaction in this region, a comprehensive long-term (2011–2019) in situ observation including 30-min meteorology (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. The dataset shows that all four component radiation components, latent heat flux, sensible heat flux, soil heat flux, and CO2 fluxes varied seasonally and diurnally at four sites. Surface energy fluxes exhibited great differences among the four sites. On an annual basis, for two cropland sites, the dominant consumer of net radiation was latent heat flux. At two suburb sites, latent heating dominates from April to November, whereas sensible heating dominates the other months. This dataset will contribute to multiple research fields, including studying land–atmosphere interaction, improving the boundary-layer parameterization schemes, evaluating remote sensing algorithms, and developing climate models in the typical East Asian monsoon region. The dataset is publicly available at https://doi.org/10.5281/zenodo.6552301, last access: 10 May 2022 (Duan et al., 2022).

Zexia Duan et al.

Status: open (until 03 Aug 2022)

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A benchmark dataset of diurnal- and seasonal-scale radiation, heat and CO2 fluxes in a typical East Asian monsoon region Zexia Duan, Zhiqiu Gao, Qing Xu, Shaohui Zhou, Kai Qin, & Yuanjian Yang https://doi.org/10.5281/zenodo.6552301

Zexia Duan et al.

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Short summary
Land–atmosphere interaction process over the Yangtze River Delta (YRD) of China is becoming various and complex as it is experiencing rapid land-use changes. In this paper, we describe a dataset on microclimate and eddy covariance variables at four sites in the YRD. This dataset will contribute to multiple research fields, including improving the boundary-layer parameterization schemes, evaluating remote sensing algorithms, and developing climate models in the typical East Asian monsoon region.