A benchmark dataset for radiation, heat, and CO2 fluxes is crucial for studying land atmosphere interactions. The Yangtze River Delta in China is a typical East Asian monsoon region, where land atmosphere interactions have become diverse and complex due to rapid urbanization and agricultural development. To understand the impact of various land cover changes on land atmosphere interactions in the Yangtze River Delta region, we conducted long-term (2011-2019) comprehensive observation activities at four sites of two typical surface types (cultivated land and suburban areas), including 30 minute resolution meteorological variables (temperature, humidity, pressure, wind speed, and direction), surface radiation flux, turbulent heat flux, and CO2flux. Dataset analysis shows that the radiation components, latent heat flux, sensible heat flux, soil heat flux, and CO2flux at the four locations exhibit seasonal and diurnal variations. There are significant differences in surface radiation flux among the four locations. For the whole year, the main consumer of net radiation in two farming sites is latent heat flux. On the contrary, in two locations in the suburbs, latent heat dominates from April to November, while sensible heat dominates in other months. Our current work provides convincing evidence that this dataset has potential in multiple research areas, 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 comprehensive observation data of land atmosphere interaction in this study were collected at four experimental points in two cultivated areas (Shouxian Station and Dongtai Station) and two suburban areas (Xuzhou Station and Dongshan Station) in the Yangtze River Delta, namely SX cultivated area, DT cultivated area, XZ suburban area, and DS suburban area.
All four observation points are equipped with EC systems for long-term continuous monitoring of surface radiation, H, λ E, and CO2fluxes. To maintain the instruments and download EC data, visit each site every two weeks to every month. In order to obtain high-quality 30 minute resolution EC data, a series of post-processing steps were carried out as follows:
1. Use a data logger to sample 10 Hz raw EC data, including longitudinal (u), transverse (v), and vertical (w) wind speeds, acoustic temperature (Ts), and water vapor (H2O) density, and then convert it into binary data using software.
2. Use LI-COR EddyPro 6.2.1 software to calculate and calibrate the turbulent fluxes of H, λ E, and CO2for 30 minutes.
The quality control of vorticity covariance measurement includes static testing, comprehensive turbulence characteristic testing, etc.
The data quality is good.
| # | number | name | type |
| 1 | 41875013 | National Natural Science Foundation of China |
This work is licensed under
CC BY 4.0 (Creative Commons Attribution 4.0 International License).
CSTR:11738.11.NCDC.ZENODO.DB4150.2023
10.5281/zenodo.6552301
