TY - JOUR
T1 - Partitioning of Sensible and Latent Heat Fluxes in Different Vegetation Types and Their Spatiotemporal Variations Based on 203 FLUXNET Sites
AU - Lin, Huiqing
AU - Li, Yan
AU - Zhao, Lei
N1 - Funding Information:
This study was supported by the National Key Research and Development Program of China (2017YFA0604701), the National Natural Science Foundation of China (41991235), and the Fundamental Research Funds for the Central Universities. We would like to thank the high‐performance computing support from the Center for Geodata and Analysis, Faculty of Geographical Science, Beijing Normal University [ https://gda.bnu.edu.cn/ ].
Publisher Copyright:
© 2022. American Geophysical Union. All Rights Reserved.
PY - 2022/11/16
Y1 - 2022/11/16
N2 - Bowen ratio reflects the partitioning between sensible and latent heat fluxes and plays a crucial role in land–atmosphere interaction. In this study, the spatiotemporal variations of Bowen ratio among 12 vegetation types were analyzed using observations from 203 FLUXNET sites and compared against Community Land Model (CLM) simulations. Results showed that the annual mean Bowen ratio across all sites was 1.48 ± 1.20 (mean ± SD). Sites with Bowen ratios less than 1 were found across all continents, and the ones with a higher Bowen ratio appeared in dry and warm areas. Open shrublands showed the highest Bowen ratio (3.04 ± 0.58), whereas wetlands showed the lowest (0.74 ± 0.09). In terms of seasonality, Bowen ratio generally showed lower values in local summer and higher in spring and autumn in the northern hemisphere; the opposite occurred in the southern hemisphere. The spatiotemporal variations in Bowen ratio can be explained by climatic, geographical, and biological factors, with climate factors having the greatest impact. The spatial correlation analyses suggested Bowen ratio increased under higher VPD (R = 0.45, p < 0.001) and hotter (R = 0.14, p < 0.05) conditions and decreased with higher precipitation (R = −0.34, p < 0.001), albedo (R = −0.16, p > 0.05), and leaf area index (R = −0.25, p < 0.001). Compared to FLUXNET observations, CLM well reproduced the global annual mean Bowen ratio (1.48 for CLM vs. 1.56 for FLUXNET) but showed larger differences for certain vegetation types. Our results could enhance our understanding of biotic and environmental controls on land surface energy fluxes and help improve the land surface and climate models.
AB - Bowen ratio reflects the partitioning between sensible and latent heat fluxes and plays a crucial role in land–atmosphere interaction. In this study, the spatiotemporal variations of Bowen ratio among 12 vegetation types were analyzed using observations from 203 FLUXNET sites and compared against Community Land Model (CLM) simulations. Results showed that the annual mean Bowen ratio across all sites was 1.48 ± 1.20 (mean ± SD). Sites with Bowen ratios less than 1 were found across all continents, and the ones with a higher Bowen ratio appeared in dry and warm areas. Open shrublands showed the highest Bowen ratio (3.04 ± 0.58), whereas wetlands showed the lowest (0.74 ± 0.09). In terms of seasonality, Bowen ratio generally showed lower values in local summer and higher in spring and autumn in the northern hemisphere; the opposite occurred in the southern hemisphere. The spatiotemporal variations in Bowen ratio can be explained by climatic, geographical, and biological factors, with climate factors having the greatest impact. The spatial correlation analyses suggested Bowen ratio increased under higher VPD (R = 0.45, p < 0.001) and hotter (R = 0.14, p < 0.05) conditions and decreased with higher precipitation (R = −0.34, p < 0.001), albedo (R = −0.16, p > 0.05), and leaf area index (R = −0.25, p < 0.001). Compared to FLUXNET observations, CLM well reproduced the global annual mean Bowen ratio (1.48 for CLM vs. 1.56 for FLUXNET) but showed larger differences for certain vegetation types. Our results could enhance our understanding of biotic and environmental controls on land surface energy fluxes and help improve the land surface and climate models.
KW - Bowen ratio
KW - Community Land Model
KW - FLUXNET
KW - latent heat
KW - sensible heat
KW - vegetation
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U2 - 10.1029/2022JD037142
DO - 10.1029/2022JD037142
M3 - Article
AN - SCOPUS:85141858690
SN - 2169-897X
VL - 127
JO - Journal of Geophysical Research: Atmospheres
JF - Journal of Geophysical Research: Atmospheres
IS - 21
M1 - e2022JD037142
ER -