Articles | Volume 17, issue 4
https://doi.org/10.5194/gmd-17-1667-2024
https://doi.org/10.5194/gmd-17-1667-2024
Development and technical paper
 | 
26 Feb 2024
Development and technical paper |  | 26 Feb 2024

High-resolution multi-scaling of outdoor human thermal comfort and its intra-urban variability based on machine learning

Ferdinand Briegel, Jonas Wehrle, Dirk Schindler, and Andreas Christen

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Cited articles

Akiba, T., Sano, S., Yanase, T., Ohta, T., and Koyama, M.: Optuna: A Next-Generation Hyperparameter Optimization Framework, in: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2623–2631, https://doi.org/10.1145/3292500.3330701, 2019. 
Albertson, J. D. and Parlange, M. B.: Natural integration of scalar fluxes from complex terrain, Adv. Water Resour., 23, 239–252, https://doi.org/10.1016/S0309-1708(99)00011-1, 1999a. 
Albertson, J. D. and Parlange, M. B.: Surface length scales and shear stress: Implications for land-atmosphere interaction over complex terrain, Water Resour. Res., 35, 2121–2132, https://doi.org/10.1029/1999WR900094, 1999b. 
Ao, X., Grimmond, C. S. B., Ward, H. C., Gabey, A. M., Tan, J., Yang, X.-Q., Liu, D., Zhi, X., Liu, H., and Zhang, N.: Evaluation of the Surface Urban Energy and Water Balance Scheme (SUEWS) at a Dense Urban Site in Shanghai: Sensitivity to Anthropogenic Heat and Irrigation, J. Hydrometeorol., 19, 1983–2005, https://doi.org/10.1175/JHM-D-18-0057.1, 2018. 
Bergstra, J., Bardenet, R., Bengio, Y., and Kégl, B.: Algorithms for Hyper-Parameter Optimization, in: Proceedings of the 24th International Conference on Neural Information Processing Systems, 2546–2554, ISBN 9781618395993, 2011. 
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We present a new approach to model heat stress in cities using artificial intelligence (AI). We...
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