Publication Type

Journal Article

Version

publishedVersion

Publication Date

7-2025

Abstract

This study adds to the growing literature on mobile platforms by examining the performance of the Singapore MaRTy (SMaRTy) in conducting mobile micrometeorological measurements along a designated route in an urban park in Singapore, reflecting a pedestrian walking experience. The main objective of the study was to calculate the sensor lag for the mobile climate measurements: Air Temperature (TA), and Relative Humidity (RH) of SMaRTy along a designated route in an urban park in Singapore based on data from fixed stations (HOBO sensors) in two significant synoptic meteorological periods during the Northeast and Southwest monsoons. Statistically significant regression models were obtained for the two study periods. For the TA, the regression models for the Southwest monsoon yielded higher R2 (0.85-0.99) and lower Root Mean Square Error (RMSE) (0.34-0.57) than those for the Northeast monsoon (R2: 0.09-0.90, and RMSE: 0.53-0.71). However, diurnal variations in cloud cover affected the regression models of SMaRTy, with more cloudy conditions resulting in weaker correlations. Overall, results suggest that mobile climate measurements via SMaRTy along a designated route, when corrected for lag, yield accurate data that can be applied toward urban climate analysis.

Keywords

Urban warming, climate measurements, SMaRTy, spatial mapping

Discipline

Asian Studies | Environmental Sciences | Urban Studies and Planning

Research Areas

Integrative Research Areas

Publication

Environmental Research Communications

Volume

7

Issue

7

First Page

1

Last Page

16

ISSN

2515-7620

Identifier

10.1088/2515-7620/ade75e

Publisher

IOP Publishing

Copyright Owner and License

Authors-CC-BY

Additional URL

https://doi.org/10.1088/2515-7620/ade75e

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