Spain vs Switzerland

Spain vs Switzerland: Tropical nights

Tropical nights in 2014: 16.8 nights in Spain and 0.2 nights in Switzerland, in the CMIP6 climate models’ median run. In 2014 the value was higher in Spain, by 16.6 nights, or 70 times that in Switzerland.

Watch it change on the map

nights a year · CMIP6

Spain vs Switzerland: Tropical nightsTropical nights in 2014: 16.8 nights in Spain and 0.2 nights in Switzerland, in the CMIP6 climate models’ median run. In 2014 the value was higher in Spain, by 16.6 nights, or 70 times that in Switzerland.
SpainSwitzerlandCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Spain has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Spain at 51.6 nights and Switzerland at 3.8 nights in 2100.

Every year

nights a year · CMIP6

YearSpainSwitzerland
201416.80.2
201317.90.1
201216.40.1
201116.20.1
201017.50.1
200916.20.1
200816.50.1
200715.30
200617.60
200516.50.1
200416.40.1
200314.50.1
200214.90.1
200115.60.1
200013.80
199913.90
199813.50
199712.70
199612.90
199511.40
199412.10
1993110
19929.50
199112.30
199013.10
198911.50
198812.30
198711.10
19869.20
19858.90
19848.90
19839.50
1982100
198110.10
19809.60
197910.50
197811.10
19779.70
19768.30
19758.70
1974100
19738.90
19729.60
19718.40
197080
19699.20
196890
19678.80
19668.10
19657.60
196410.10
19638.70
19629.50
19619.40
19609.30
195910.20
19589.70
19579.50
195610.50
195510.40
19549.80
195390
195210.50
195110.20
195011.80
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearSpainSwitzerland
201520.413.3–30.20.10–1.1
201620.113.2–33.40.20–1.3
201721.313.3–31.10.20–1.5
201822.815.6–34.20.10–1.3
201922.714.6–33.60.30–1.4
202022.314.2–32.80.10–1.4
202123.114.2–34.20.30–2.2
202226.515–37.60.30–2.1
202325.215.5–35.20.30–1.9
202425.216.8–370.40–1.5
202524.914–36.50.40–1.9
202624.814.9–36.80.50–1.9
202726.817–38.30.30–1.6
202827.315.8–39.50.50–1.9
20292816–41.80.80–2.2
203027.816.8–380.30–2.4
20312817–390.40–1.4
203229.720.5–40.30.60.1–2.4
203328.920–39.20.60–3.2
203431.419.3–44.80.70.1–3.3
203530.619.2–43.30.70.1–2.4
203630.721.4–43.80.80–2.7
203731.319.8–41.70.60.1–2.7
203831.621.5–450.80–2.9
203931.723–43.80.90–2.6
204030.119–460.90–2.6
204130.419.5–43.310–2.9
204231.521.5–43.10.80.1–2.8
20433219.4–47.610.1–2.7
20443221.8–45.90.80.1–3.3
204534.122.7–47.81.20–3.5
204633.921.1–47.31.20.2–3.8
204734.322.3–491.50.1–3.8
204835.723.1–4610.1–4.6
204937.324.6–52.21.60.1–4.2
205037.425.7–52.71.20.3–3.5
205136.322.6–51.610–4
205238.224.4–51.21.40.1–3.9
205336.325.2–51.90.80.1–3.8
20543623–531.40.2–3.5
205539.126.3–52.31.30.1–3.4
205638.227–52.81.40.2–6.5
205740.526.6–53.51.70.2–3.7
205841.827–54.82.10.2–5.5
205939.225.5–55.21.80.1–7.1
206041.929.2–551.60.4–5.6
206142.629.2–58.61.90.1–4.9
206241.429–55.52.30.3–5
206345.225.2–59.72.20.2–5.9
206442.625.1–57.520.3–5
206540.825.4–61.720.1–7.4
20664228.9–57.320.3–5.5
206745.531.3–61.43.80.8–10
206841.528.4–58.92.20.2–4.9
20694630–59.72.60.7–5.9
207045.430.7–63.32.60.3–7.1
207145.931.7–62.22.90.1–7.8
207247.130.2–62.52.91.2–6.5
207346.630.5–63.820.3–7
207443.429.5–61.41.70.2–7.6
207545.529–60.52.40.4–7.7
207646.930.2–64.92.80.5–10.6
207746.129.6–632.40.5–8.8
20784729.9–67.32.20.3–8.1
207943.731.4–63.52.60.4–8.5
208046.830–63.92.90.3–6.6
20814733.2–652.90.5–8.3
20824834.3–63.43.30.4–8.9
208349.932.4–65.92.50.5–7.9
208449.234.7–65.42.60.6–6.1
20855037.5–6630.9–7.7
20865133.7–67.63.40.7–8.7
20875236–70.24.10.5–10.4
208852.133.4–72.53.60.8–11.7
208950.936.8–67.73.61.1–9
209052.832.7–72.33.60.6–9.5
209154.133.4–7040.7–9.8
209251.532.8–66.43.10.2–9.4
209348.734.9–66.72.70.7–7.8
209450.331.4–70.14.21.2–9.2
209552.733.7–72.23.90.2–11.4
209654.134.9–72.53.10.2–10
209753.136.1–71.92.80.2–10.3
20985234.3–70.73.80.7–10.2
209955.737–70.73.90.4–10.7
210051.634.3–71.23.80.8–11.7

Each country on its own

Good to know

  • Nights in a year when the temperature stays above 20 °C, averaged over the country.
  • Source: World Bank Climate Change Knowledge Portal, CMIP6 multi-model median.
  • The dashed line is the CMIP6 model median (SSP2-4.5, middle of the road), a scenario rather than a forecast; the band is its models’ 10th–90th percentile.
  • Climate model values are the median of the CMIP6 models, run on past emissions to 2014 and on SSP2-4.5, a middle-of-the-road path, after: they are not measurements.

How the layers work, where their data comes from and what they can’t tell you: Countries through time

Spain vs Switzerland

Health

People

Economy

Education

Politics

Conflict

Military

Climate

Technology and environment