10 citations as recorded by crossref.

1. Spatiotemporal Variability of Heat Storage in Major U.S. Cities—A Satellite-Based Analysis J. Hrisko et al. 10.3390/rs13010059
2. The optimization of ecological service function and planning control of territorial space planning for ecological protection and restoration Y. Chen & F. Xu 10.1016/j.suscom.2022.100748
3. A Review of Machine Learning Applications in Land Surface Modeling S. Pal & P. Sharma 10.3390/earth2010011
4. Climate change impact on energy demand in building-urban-atmosphere simulations through the 21st century M. Lipson et al. 10.1088/1748-9326/ab5aa5
5. How an urban parameterization affects a high‐resolution global climate simulation J. Katzfey et al. 10.1002/qj.3874
6. The Analytical Objective Hysteresis Model (AnOHM v1.0): methodology to determine bulk storage heat flux coefficients T. Sun et al. 10.5194/gmd-10-2875-2017
7. The Hamburg Tornado (7 June 2016) from the perspective of low-cost high-resolution radar data and weather forecast model P. Hoffmann et al. 10.1016/j.atmosres.2018.04.009
8. An Investigation into Heat Storage by Adopting Local Climate Zones and Nocturnal-Diurnal Urban Heat Island Differences in the Tokyo Prefecture C. O`Malley & H. Kikumoto 10.2139/ssrn.4075474
9. A building energy demand and urban land surface model M. Lipson et al. 10.1002/qj.3317
10. Estimating heat storage in urban areas using multispectral satellite data and machine learning J. Hrisko et al. 10.1016/j.rse.2020.112125