Fig. 5: A summary of the relationships among average monthly ΔET, ΔTa, and Δq, respectively, for 20 urban sites (2003–2020). | npj Climate and Atmospheric Science

Fig. 5: A summary of the relationships among average monthly ΔET, ΔTa, and Δq, respectively, for 20 urban sites (2003–2020).

From: Urbanization alters atmospheric dryness through land evapotranspiration

Fig. 5: A summary of the relationships among average monthly ΔET, ΔTa, and Δq, respectively, for 20 urban sites (2003–2020).The alternative text for this image may have been generated using AI.

The size of circles represents magnitudes of correlation coefficients of average monthly ΔET vs Δq, ΔET vs ΔTa, respectively (see Supplementary Table 1). ∆Ta (°C), ∆q (g/kg), and ∆ET (mm), were the differences in near-surface air temperature, specific humidity, and evapotranspiration between urban and surrounding non-urban areas. Δq and ΔTa were calculated using 20 urban sites dataset from https://doi.org/10.5281/zenodo.710498459, and surrounding pixel data from ERA5 as non-urban areas, respectively. ΔET pixel data are from remote sensing SSEBop ET products81. The information for the 20 urban flux sites is in Fig. 1a. Confidence levels are denoted on labels by *P < 0.001 and +P < 0.01.

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