Articles | Volume 12, issue 4
https://doi.org/10.5194/essd-12-2635-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-12-2635-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
31 Oct 2020
Data description paper |
| 31 Oct 2020
| 31 Oct 2020
A dataset of microclimate and radiation and energy fluxes from the Lake Taihu eddy flux network
Zhen Zhang
Yale-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
Key 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
Mi Zhang
Yale-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
Key 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
NUIST-Wuxi Research Institute, Wuxi, Jiangsu Province, China
Chang Cao
Yale-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
Key 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
Wei Wang
Yale-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
Key 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
Wei Xiao
Yale-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
Key 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
NUIST-Wuxi Research Institute, Wuxi, Jiangsu Province, China
Chengyu Xie
Yale-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
Key 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
Haoran Chu
Yale-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
Key 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
Jiao Wang
Yale-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
Key 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
Jiayu Zhao
Yale-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
Key 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
Lei Jia
Yale-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
Key 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
Qiang Liu
Yale-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
Key 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
Wenjing Huang
Yale-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
Key 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
Wenqing Zhang
Yale-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
Key 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
Yang Lu
Yale-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
Key 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
Yanhong Xie
Yale-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
Key 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
Yi Wang
Yale-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
Key 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
Yini Pu
Yale-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
Key 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
Yongbo Hu
Yale-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
Key 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
Zheng Chen
Yale-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
Key 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
Zhihao Qin
Yale-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
Key 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
Xuhui Lee
CORRESPONDING AUTHOR
School of the Environment, Yale University, New Haven, CT 06511, USA
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Cited
14 citations as recorded by crossref.
- Seasonal Characteristics of Air–Sea Exchanges over the South Coast of Matara, Sri Lanka X. Lu et al. 10.3390/jmse12111903
- Sensitivity of surface downward longwave radiation to aerosol optical depth over the Lake Taihu region, China C. Liu et al. 10.1016/j.atmosres.2024.107444
- Aerosol interference with open-path eddy covariance measurement in a lake environment L. Jia et al. 10.1016/j.agrformet.2024.110104
- Quantifying the difference between surface temperature and surface waterbulk temperature and its influencing factors at Lake Taihu with <i>in-situ</i> observation L. Yuzhu et al. 10.18307/2023.0543
- Development of a 60-year high-resolution water body evaporation dataset in China P. Bai & X. Guo 10.1016/j.agrformet.2023.109428
- The Land Wet‐Bulb Temperature Increases Faster Than the Sea Surface Temperature H. Chu et al. 10.1029/2023GL106617
- Sigmoid Generalized Complementary Equation for Evaporation Over Wet Surfaces: A Nonlinear Modification of the Priestley‐Taylor Equation S. Han et al. 10.1029/2020WR028737
- Evaporative water loss of 1.42 million global lakes G. Zhao et al. 10.1038/s41467-022-31125-6
- Evaporation From Six Water Bodies of Various Sizes in East Asia: An Analysis on Size Dependency S. Han & F. Guo 10.1029/2022WR032650
- The Importance of Heat Storage for Estimating Lake Evaporation on Different Time Scales: Insights From a Large Shallow Subtropical Lake P. Bai & Y. Wang 10.1029/2023WR035123
- In Situ Observation of Near-Surface Wind Seasonal Variation on the Southern Coast of Sri Lanka X. Lu et al. 10.3390/jmse11091721
- Quantifying the contribution of evaporation from Lake Taihu to precipitation with an isotope-based method Y. Hu et al. 10.1080/10256016.2022.2056599
- A benchmark dataset of diurnal- and seasonal-scale radiation, heat, and CO2 fluxes in a typical East Asian monsoon region Z. Duan et al. 10.5194/essd-14-4153-2022
- Estimating the sensitivity of the Priestley–Taylor coefficient to air temperature and humidity Z. Liu et al. 10.5194/hess-28-4349-2024
14 citations as recorded by crossref.
- Seasonal Characteristics of Air–Sea Exchanges over the South Coast of Matara, Sri Lanka X. Lu et al. 10.3390/jmse12111903
- Sensitivity of surface downward longwave radiation to aerosol optical depth over the Lake Taihu region, China C. Liu et al. 10.1016/j.atmosres.2024.107444
- Aerosol interference with open-path eddy covariance measurement in a lake environment L. Jia et al. 10.1016/j.agrformet.2024.110104
- Quantifying the difference between surface temperature and surface waterbulk temperature and its influencing factors at Lake Taihu with <i>in-situ</i> observation L. Yuzhu et al. 10.18307/2023.0543
- Development of a 60-year high-resolution water body evaporation dataset in China P. Bai & X. Guo 10.1016/j.agrformet.2023.109428
- The Land Wet‐Bulb Temperature Increases Faster Than the Sea Surface Temperature H. Chu et al. 10.1029/2023GL106617
- Sigmoid Generalized Complementary Equation for Evaporation Over Wet Surfaces: A Nonlinear Modification of the Priestley‐Taylor Equation S. Han et al. 10.1029/2020WR028737
- Evaporative water loss of 1.42 million global lakes G. Zhao et al. 10.1038/s41467-022-31125-6
- Evaporation From Six Water Bodies of Various Sizes in East Asia: An Analysis on Size Dependency S. Han & F. Guo 10.1029/2022WR032650
- The Importance of Heat Storage for Estimating Lake Evaporation on Different Time Scales: Insights From a Large Shallow Subtropical Lake P. Bai & Y. Wang 10.1029/2023WR035123
- In Situ Observation of Near-Surface Wind Seasonal Variation on the Southern Coast of Sri Lanka X. Lu et al. 10.3390/jmse11091721
- Quantifying the contribution of evaporation from Lake Taihu to precipitation with an isotope-based method Y. Hu et al. 10.1080/10256016.2022.2056599
- A benchmark dataset of diurnal- and seasonal-scale radiation, heat, and CO2 fluxes in a typical East Asian monsoon region Z. Duan et al. 10.5194/essd-14-4153-2022
- Estimating the sensitivity of the Priestley–Taylor coefficient to air temperature and humidity Z. Liu et al. 10.5194/hess-28-4349-2024
Latest update: 20 Nov 2024
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 the first of its kind for lake systems, can be used for validation of lake–air flux parameterizations, investigation 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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