Figure 1
From: Harnessing deep learning to forecast local microclimate using global climate data
Study area. (a) The figure describes the location of the studied area (red point) in Northern Italy by a shaded DTM from 1:500,000 scale contours and hydrography from Touring (WA = Western Alps, EA = Eastern Alps, cSA = central Southern Alps, To = Turin, Mi = Milan, Bo = Bologna, Ve = Venice). The figure has been modified from38. (b) The figure displays the study area, which is located in the province of Bergamo in the Lombardian foothills, Italy (the center of the study area is located at \(45^\circ\) 23′ 31″ N \(9^\circ\) 41′ 48″ E). The image has been obtained from Google Earth Pro. (c) The figure describes the digital surface model at 2 m resolution of the study area (the distribution of elevation) and the location of the 25 recording sensors (blue points).
