## 2 Materials and Methods  
The building analysed is located in Weinbach, Salzburg, Austria. Weinbach is situated between Strobl and Bad Ischl at the bottom of a west-east-oriented u-shaped valley at a sea level of approximately 520 m above sea level. The house was built around 1630 and was used as a mill. The building consists of pure stone masonry with a thickness of 65 and 50 cm at both levels. The roof is a double-pitch roof with a slope of approximately 38\({}^{\circ}\) (ridge direction north-south) and a small one-sided hip. There is a loggia under the roof on the south facade. The building was bought by a private citizen who plans to use it as a permanent residential building. In a first work phase, the old and damaged roof was refurbished, but renovated using larch wood (_Larix decidua_ Mill.) shingles. The only modification was the implementation of a ventilated roof construction with a ventilation gap on the eave and ridge (eave-ridge distance 470 cm). The whole building was neither inhabited nor heated and the roof was not insulated in between rafters during the time of measurement (Figure 1). Various sensors were positioned in the construction on the western roof side according to Figure 2 and a multi-input data logger was used to store the sensor data. Sensor 1 (bidirectional digital thermoanemometer; air speed 0.08-2 m/s, resolution 0.001 m/s; air temperature \(-\)20 to 70 \({}^{\circ}\)C, resolution 0.1 \({}^{\circ}\)C) was positioned in the centre of a ventilation gap between two counter batten (width 80 cm) in the midst of the building. It was oriented to detect air movement in the ventilation direction. Sensor 2 (another identical thermoanemometer) was positioned at the border of the ventilation gap, next to the counter batten. Sensor 3 (digital sensor for air moisture and temperature; air moisture 5-98% r.m., precision \(\pm\)2.0% r.m. ; air temperature \(-\)20 to 80 \({}^{\circ}\)C, precision \(\pm\)0.1 \({}^{\circ}\)C) was positioned in the centre of the ventilation field next to sensor 1. Identical sensors were used at positions 5 and 6. Sensor 4(temperature sensor Pt 100; temperature \(-\)10 to 90 \({}^{\circ}\)C, resolution 0.01 \({}^{\circ}\)C) was applied on the outside wall to control the wall surface temperature. An identical temperature sensor (Sensor 7) was applied on the underside of the shingles at the same position as sensor 1 to control the surface temperature of the shingles. All measurements were stored every 5 min on an SD-card via the data logger. Measurements were recorded for 365 days, from 24 November 2017 until 24 November 2018, resulting in 35,305 measurements. Sensor 5 was installed on 2 February 2018, resulting in 28,359 measurements. In order to evaluate the effectiveness of the eave-ridge ventilation, the air inlet on the eave was partially closed by a wooden board (as indicated in Figure 2): period 1 (P1) 24 November until 7 December 2017--ventilation layer open at both eaves, period 2 (P2) 7 December until 20 December 2017--ventilation layer closed at the western eave, period 3 (P3) 20 December until 25 January--ventilation open at both eaves, period 4 (P4) 25 January until 1 April--both opposite eaves closed, period 5 (P5) 1 April until 24 November--eaves open. The measurement variables detected were ambient air temperature (AAT), ambient air moisture (AAM), air temperature in the centre of the ventilation layer (VAT), air moisture in the centre of  
Figure 1: Building object on which measurements were conducted. Figure 2: Floor plan and cross-section of the attic room with position of sensors and scope of the finite element (FE) model. the ventilation layer (VAM), air temperature and air moisture in the attic (AtAT, AtAM), surface temperature of the outside wall (WST), air speed in the ventilation layer in the centre and at the border (VASc and VASb), dew-point temperature of the air in the ventilation layer (VDT), and shingle surface temperature (SST).