| Summary: | The urban heat island (UHI) poses a significant threat to urban ecosystems, human health, and urban energy systems. Hence, days with a relatively higher UHI intensity should be selected for UHI observation and analysis. However, there is still a lack in the method and criteria for selecting the typical meteorological days for UHI survey and simulation. In this study, field measurements were conducted based on Local Climate Zone (LCZ) schemes over a one-year period to assess the UHI behavior in Guangzhou, China. The relationship between the diurnal temperature range (DTR) and UHI intensity was evaluated and analyzed quantitatively under different meteorological conditions classified by precipitation. The average daily maximum UHI intensity <inline-formula><math display="inline"><semantics><mrow><mrow><mo>(</mo><mrow><msub><mrow><mi>UHII</mi></mrow><mrow><mi>max</mi></mrow></msub></mrow><mo>)</mo></mrow></mrow></semantics></math></inline-formula> during precipitation days was approximately 1.8 °C lower than that during non-precipitation days, confirming that precipitation has a negative effect on UHI development. The monthly DTR distribution was similar to the daily <inline-formula><math display="inline"><semantics><mrow><msub><mrow><mi>UHII</mi></mrow><mrow><mi>max</mi></mrow></msub></mrow></semantics></math></inline-formula> distribution, which was higher in autumn and winter, but lower in spring and summer. DTR has a significant linear correlation with the daily <inline-formula><math display="inline"><semantics><mrow><msub><mrow><mi>UHII</mi></mrow><mrow><mi>max</mi></mrow></msub></mrow></semantics></math></inline-formula>, with a Pearson’s correlation coefficient of >0.7 and statistical significance of <0.001. Based on a quantitative evaluation of our results, we determined that 10 °C could be regarded as the appropriate DTR threshold to identify the meteorological conditions conducive to UHI development; the meteorological conditions exhibited a high daily <inline-formula><math display="inline"><semantics><mrow><msub><mrow><mi>UHII</mi></mrow><mrow><mi>max</mi></mrow></msub></mrow></semantics></math></inline-formula> in Guangzhou. This study provides a simple method to select typical meteorological days for UHI measurement and simulation, and a method to early-warning of intense UHI events based on weather forecasts.
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