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Preprints
https://doi.org/10.5194/essd-2020-64
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-2020-64
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  17 Jun 2020

17 Jun 2020

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A revised version of this preprint was accepted for the journal ESSD and is expected to appear here in due course.

A dataset of microclimate and radiation and energy fluxes from the Lake Taihu Eddy Flux Network

Zhen Zhang1,2, Mi Zhang1,2,4, Chang Cao1,2, Wei Wang1,2,4, Wei Xiao1,2, Chengyu Xie1,2, Haoran Chu1,2, Jiao Wang1,2, Jiayu Zhao1,2, Lei Jia1,2, Qiang Liu1,2, Wenjing Huang1,2, Wenqing Zhang1,2, Yang Lu1,2, Yanhong Xie1,2, Yi Wang1,2, Yini Pu1,2, Yongbo Hu1,2, Zheng Chen1,2, Zhihao Qin1,2, and Xuhui Lee3 Zhen Zhang et al.
  • 1Yale-NUIST Center on Atmospheric Environment, International Joint Laboratory on Climate and Environment Change (ILCEC), Nanjing University of Information Science and Technology, Nanjing, Jiangsu Province, China
  • 2Key Laboratory of Meteorological Disaster, Ministry of Education and Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing, Jiangsu Province, China
  • 3School of Forestry and Environmental Studies, Yale University, New Haven, CT, USA
  • 4NUIST-Wuxi Research Institute, Wuxi, Jiangsu Province, China

Abstract. Eddy covariance data are widely used for the investigation of surface-air interactions. Although numerical datasets exist in public depositories for upland ecosystems, few research groups have released eddy covariance data collected over lakes. In this paper, we describe a dataset from the Lake Taihu Eddy Flux Network, a network consisting of seven lake sites and one land site. Lake Taihu is the third largest freshwater lake (area 2,400 km2) in China, under the influence of subtropical climate. The dataset spans the period from June 2010 to December 2018. Data variables are recorded at half-hourly intervals and include micrometeorology (air temperature, humidity, wind speed, wind direction, rainfall, and water/soil temperature profile), the four components of surface radiation balance, friction velocity, and sensible and latent heat fluxes. Except for rainfall and wind direction, all other variables are gap-filled, with each datapoint marked by a quality flag. Several areas of research can potentially benefit from the publication of this dataset, including evaluation of mesoscale weather forecast models, development of lake-air flux parameterizations, investigation of climatic controls on lake evaporation, validation of remote sensing surface data products, and global synthesis on lake-air interactions. The dataset is publicly available at https://yncenter.sites.yale.edu/data-access and from Harvard Dataverse (doi: 10.7910/DVN/HEWCWM)

Zhen Zhang et al.

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Zhen Zhang et al.

Data sets

A dataset of microclimate and radiation and energy fluxes from the Lake Taihu Eddy Flux Network Z. Zhang, M. Zhang, C. Cao, W. Wang, W. Xiao, C. Xie, H. Chu, J. Wang, J. Zhao, L. Jia, Q. Liu, W. Huang, W. Zhang, Y. Lu, Y. Xie, Y. Wang, Y. Pu, Y. Hu, Z. Chen, Z. Qin, and X. Lee https://doi.org/10.7910/DVN/HEWCWM

Zhen Zhang et al.

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Latest update: 30 Sep 2020
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Short summary
Inland lakes play an important role in regulating local climate. In this paper, we describe a dataset on microclimate and eddy covariance variables measured at a network of sites across Lake Taihu. The dataset, which appears to be first of this kind for lake systems, can be used for validation of lake-air flux parameterizations, investigating of climatic controls on lake evaporation, evaluation of remote sensing surface data products, and global synthesis on lake air interactions.
Inland lakes play an important role in regulating local climate. In this paper, we describe a...
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