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 article
| 
31 Oct 2020
Data description article |
| 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
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
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 articles
Barr, A. G., King, K. M., Gillespie, T. J., Den Hartog, G., and Neumann, H.
H.: A comparison of Bowen ratio and eddy correlation sensible and latent
heat flux measurements above deciduous forest, Bound.-Lay. Meteorol.,
71, 21–41, 1994.
Blanken, P. D., Black, T. A., Yang, P. C., Neumann, H. H., Nesic, Z.,
Staebler, R., Den Hartog, G., Novak, M. D., and Lee, X.: Energy balance and
canopy conductance of a boreal aspen forest: partitioning overstory and
understory components, J. Geophys. Res.-Atmos., 102, 28915–28927,
1997.
Blanken, P. D., Spence, C., Hedstrom, N., and Lenters, J. D.: Evaporation
from Lake Superior: 1. Physical controls and processes, J. Great Lakes Res.,
37, 707–716, https://doi.org/10.1016/j.jglr.2011.08.009, 2011.
Charusombat, U., Fujisaki-Manome, A., Gronewold, A. D., Lofgren, B. M., Anderson, E. J., Blanken, P. D., Spence, C., Lenters, J. D., Xiao, C., Fitzpatrick, L. E., and Cutrell, G.: Evaluating and improving modeled turbulent heat fluxes across the North American Great Lakes, Hydrol. Earth Syst. Sci., 22, 5559–5578, https://doi.org/10.5194/hess-22-5559-2018, 2018.
Deng, B., Liu, S., Xiao, W., Wang, W., Jin, J., and Lee, X.: Evaluation of
the CLM4 lake model at a large and shallow freshwater lake, J.
Hydrometeorol., 14, 636–649, https://doi.org/10.1175/JHM-D-12-067.1, 2013.
Downing, J. A., Prairie, Y. T., Cole, J. J., Duarte, C. M., Tranvik, L. J.,
Striegl, R. G., McDowell, W. H., Kortelainen, P., Caraco, N. F., Melack, J.
M., and Middelburg, J. J.: The global abundance and size distribution of
lakes, ponds, and impoundments, Limnol. Oceanogr., 51, 2388–2397,
https://doi.org/10.4319/lo.2006.51.5.2388, 2006.
Du, Q., Liu, H., Xu, L., Liu, Y., and Wang, L.: The monsoon effect on energy and carbon exchange processes over a highland lake in the southwest of China, Atmos. Chem. Phys., 18, 15087–15104, https://doi.org/10.5194/acp-18-15087-2018, 2018.
Franz, D., Mammarella, I., Boike, J., Kirillin, G., Vesala, T., Bornemann,
N., Larmanou, E., Langer, M., and Sachs, T.: Lake-atmosphere heat flux
dynamics of a thermokarst lake in arctic Siberia, J. Geophys. Res.-Atmos.,
123, 5222–5239, 2018.
Franz, D., Mammarella, I., Boike, J., Kirillin, G., Vesala, T., Bornemann,
N., Larmanou, E., Langer, M., and Sachs, T.: Lake-atmosphere heat flux
dynamics of a thermokarst lake in arctic Siberia, J. Geophys. Res.-Atmos.,
123, 5222–5239, 2018.
Hamdani, I., Assouline, S., Tanny, J., Lensky, I. M., Gertman, I., Mor, Z.,
and Lensky, N. G.: Seasonal and diurnal evaporation from a deep hypersaline
lake: the Dead Sea as a case study, J. Hydrol., 562, 155–167, 2018.
Hu, C., Wang, Y., Wang, W., Liu, S., Piao, M., Xiao, W., and Lee, X.: Trends
in evaporation of a large subtropical lake, Theor. Appl. Climatol.,
129, 159–170, https://doi.org/10.1007/s00704-016-1768-z, 2017.
Lee, X., Massman, W., and Law, B.: Handbook of micrometeorology: a guide for
surface flux measurement and analysis, Springer Science & Business
Media, 2004.
Lee, X., Liu, S., Xiao, W., Wang, W., Gao, Z., Cao, C., Hu, C., Hu, Z.,
Shen, S., Wang, Y., Wen, X., Xiao, Q., Xu, J., Yang, J., and Zhang, M.: The
taihu eddy flux network: An observational program on energy, water, and
greenhouse gas fluxes of a large freshwater lake, B. Am. Meteorol. Soc.,
95, 1583–1594, https://doi.org/10.1175/BAMS-D-13-00136.1, 2014.
Li, Z., Lyu, S., Ao, Y., Wen, L., Zhao, L., and Wang, S.: Long-term energy
flux and radiation balance observations over Lake Ngoring, Tibetan Plateau,
Atmos. Res., 155, 13–25, 2015.
Nordbo, A., Launiainen, S., Mammarella, I., Leppäranta, M., Huotari, J.,
Ojala, A., and Vesala, T.: Long-term energy flux measurements and energy
balance over a small boreal lake using eddy covariance technique, J.
Geophys. Res.-Atmos., 116, D02119, https://doi.org/10.1029/2010JD014542, 2011.
Subin, Z. M., Riley, W. J., and Mironov, D.: An improved lake model for
climate simulations: Model structure, evaluation, and sensitivity analyses
in CESM1, J. Adv. Model. Earth Sy., 4, 1–27, https://doi.org/10.1029/2011MS000072,
2012.
Tanny, J., Cohen, S., Assouline, S., Lange, F., Grava, A., Berger, D.,
Teltch, B., and Parlange, M. B.: Evaporation from a small water reservoir:
Direct measurements and estimates, J. Hydrol., 351, 218–229, 2008.
Twine, T. E., Kustas, W. P., Norman, J. M., Cook, D. R., Houser, Pr.,
Meyers, T. P., Prueger, J. H., Starks, P. J., and Wesely, M. L.: Correcting
eddy-covariance flux underestimates over a grassland, Agr. For. Meteorol.,
103, 279–300, 2000.
Verpoorter, C., Kutser, T., Seekell, D. A., and Tranvik, L. J.: A global
inventory of lakes based on high-resolution satellite imagery, Geophys. Res.
Lett., 41, 6396–6402, https://doi.org/10.1002/2014GL060641, 2014.
Vesala, T., Huotari, J., Rannik, Ü., Suni, T., Smolander, S., Sogachev,
A., Launiainen, S., and Ojala, A.: Eddy covariance measurements of carbon
exchange and latent and sensible heat fluxes over a boreal lake for a full
open-water period, J. Geophys. Res.-Atmos., 111, 1–12,
https://doi.org/10.1029/2005JD006365, 2006.
Wang, B., Ma, Y., Wang, Y., Su, Z., and Ma, W.: Significant differences exist
in lake-atmosphere interactions and the evaporation rates of high-elevation
small and large lakes, J. Hydrol., 573, 220–234, 2019.
Wang, W., Xiao, W., Cao, C., Gao, Z., Hu, Z., Liu, S., Shen, S., Wang, L.,
Xiao, Q., Xu, J., Yang, D., and Lee, X.: Temporal and spatial variations in
radiation and energy balance across a large freshwater lake in China, J.
Hydrol., 511, 811–824, https://doi.org/10.1016/j.jhydrol.2014.02.012, 2014.
Wang, Y., Gao, Y., Qin, H., Huang, J., Liu, C., Hu, C., Wang, W., Liu, S.,
and Lee, X.: Spatiotemporal Characteristics of Lake Breezes over Lake Taihu,
China, J. Appl. Meteorol. Climatol., 56, 2053–2065, 2017.
Webb, E. K., Pearman, G. I., and Leuning, R.: Correction of flux measurements
for density effects due to heat and water vapour transfer, Q. J. R.
Meteorol. Soc., 106, 85–100, 1980.
Wilson, K., Goldstein, A., Falge, E., Aubinet, M., Baldocchi, D., Berbigier,
P., Bernhofer, C., Ceulemans, R., Dolman, H., and Field, C.: Energy balance
closure at FLUXNET sites, Agr. For. Meteorol., 113, 223–243, 2002.
Xiao, K., Griffis, T. J., Baker, J. M., Bolstad, P. V, Erickson, M. D., Lee,
X., Wood, J. D., Hu, C., and Nieber, J. L.: Evaporation from a temperate
closed-basin lake and its impact on present, past, and future water level,
J. Hydrol., 561, 59–75, 2018.
Xiao, W., Liu, S., Wang, W., Yang, D., Xu, J., Cao, C., Li, H., and Lee, X.:
Transfer Coefficients of Momentum, Heat and Water Vapour in the Atmospheric
Surface Layer of a Large Freshwater Lake, Bound.-Lay. Meteorol., 148,
479–494, https://doi.org/10.1007/s10546-013-9827-9, 2013.
Xiao, W., Zhang, Z., Wang, W., Zhang, M., Liu, Q., Hu, Y., Huang, W., Liu, S., and Lee, X.: Radiation Controls the Interannual Variability of Evaporation of a Subtropical Lake, J. Geophys. Res.-Atmos., 125, p.e2019JD031264, https://doi.org/10.1029/2019JD031264, 2020.
Yusup, Y. and Liu, H.: Effects of Atmospheric Surface Layer Stability on
Turbulent Fluxes of Heat and Water Vapor across the Water–Atmosphere
Interface, J. Hydrometeorol., 17, 2835–2851, 2016.
Zhang, X., Huang, J., Li, G., Wang, Y., Liu, C., Zhao, K., Tao, X., Hu,
X.-M., and Lee, X.: Improving Lake-Breeze Simulation with WRF Nested LES and
Lake Model over a Large Shallow Lake, J. Appl. Meteorol. Climatol., 58,
1689–1708, 2019.
Zhang, Z., Zhang, M., Cao, C., Wang, W., Xiao, W., Xie, C., Chu, H., Wang,
J., Zhao, jiayu, Jia, L., Liu, Q., Huang, W., Zhang, W., Lu, Y., Xie, Y.,
Wang, Y., Pu, Y., Hu, Y., Chen, Z., Qin, Z., and Lee, X.: A dataset of
microclimate and radiation and energy fluxes from the Lake Taihu Eddy Flux
Network, Harvard Dataverse, https://doi.org/10.7910/DVN/HEWCWM,
2020.
Zhao, X. and Liu, Y.: Variability of surface heat fluxes and its driving
forces at different time scales over a large ephemeral lake in China, J.
Geophys. Res.-Atmos., 123, 4939–4957, 2018.
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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