France vs Luxembourg

France vs Luxembourg: Tropical nights

Tropical nights in 2014: 3.1 nights in France and 0.1 nights in Luxembourg, in the CMIP6 climate models’ median run. In 2014 the value was higher in France, by 3 nights, or 31 times that in Luxembourg.

Watch it change on the map

nights a year · CMIP6

France vs Luxembourg: Tropical nightsTropical nights in 2014: 3.1 nights in France and 0.1 nights in Luxembourg, in the CMIP6 climate models’ median run. In 2014 the value was higher in France, by 3 nights, or 31 times that in Luxembourg.
FranceLuxembourgCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • France has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts France at 19.2 nights and Luxembourg at 7 nights in 2100.

Every year

nights a year · CMIP6

YearFranceLuxembourg
20143.10.1
20133.10.3
20122.90.5
20112.70
20103.90.7
20092.50.1
20082.40.2
20072.10
20062.60
20052.90.2
20042.70.1
20032.60.6
20021.80
20012.30.1
20001.80
19992.10.1
19981.50
19971.60
19961.50
19951.30
19941.50
19931.10
199210
19911.80
19901.90
19891.20
19881.20
19871.30
19860.90
19850.90
19841.10
19831.10
198210
19811.10
19801.20
19790.90
19781.30
19770.90
19760.80
19750.90
19741.20
19730.90
19720.90
197110
19700.90
196910
19680.90
19670.80
19660.80
19650.70
196410
19630.90
19621.10
19610.90
19601.10
19591.20
195810
195710
19561.20
19551.10
19541.30
195310
19521.30
19511.10
19501.20
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearFranceLuxembourg
20153.61.5–8.600–3.4
20164.11.5–9.90.30–3.5
20173.51.3–10.20.10–3.5
20183.91.7–10.80.40–1.8
20194.51.6–90.20–2.4
20204.11.6–10.50.20–4.8
20214.51.3–13.20.20–3.4
202251.5–12.50.70–3.5
20234.81.6–12.50.50–6
20245.51.8–11.20.50–5.5
20255.81.5–12.10.80–5.7
20266.22.1–12.710–5.6
20275.41.7–11.20.60–3.6
20285.91.7–13.30.70–2.9
20296.31.9–12.61.20–5.1
20305.82.1–11.90.70–3.8
20315.92–11.80.50–3.5
20325.92.7–12.90.90–4.8
203372.5–13.61.10–5.6
20347.92.4–17.31.90–8.2
20356.92.4–14.41.20–6.1
20367.32.6–14.62.10–5.3
20377.32.6–13.31.60–7.4
20386.53–15.11.50–8.1
20396.92.6–14.31.40–7
20407.72.3–161.20–5.1
20418.12.6–15.22.10–7.2
20426.93–161.20–6
20437.92.8–15.61.90–6.2
20447.93.1–16.62.50–5.6
20459.23.2–19.620–8.5
20468.93.2–17.61.60.2–7.8
20479.74–19.22.80–8.6
20489.13.4–172.80–10.8
204910.13.7–20.82.90–9.8
205010.94.8–18.92.60.2–7.5
20519.23.5–18.41.70–5.4
2052103.4–21.21.90–9.6
20538.73.8–180.90–6.3
20549.74.4–19.21.90–9.1
20559.93.9–17.21.90–5.6
2056114.3–21.840.2–12.2
205710.94.2–19.83.10.2–9.3
205813.85.1–25.75.20–13.9
205911.23.3–2530–13.1
206012.86.1–223.70.2–10.9
206112.64.7–23.23.40–11.8
206212.36.2–22.43.80.2–12.4
2063125.2–24.92.80.2–10.4
2064125.3–21.62.20–9.9
206512.53.9–30.83.10–16
206611.55.3–22.12.60–7.3
206718.38.1–33.37.11.6–20.8
2068135.4–23.42.70–7.8
206915.65.7–25.54.51.2–10.7
207013.55.2–29.14.60.2–14.3
2071154.4–30.24.20–13.8
207215.57.4–265.61.9–12.3
207313.96–29.13.60–15.3
207412.84.3–27.34.60–13
207513.96.3–25.64.50.9–16.6
2076166.1–33.85.20.9–17.2
207713.25–29.84.10–16.2
207813.75.1–33.65.10–21.6
207912.95.3–28.43.90.8–17.5
208014.45.4–27.95.80.8–11.5
208115.15.8–29.86.20–16
208216.46.1–33.95.70.4–18.6
208315.97.9–3250.7–14.9
208414.16.6–27.74.20.2–15
208516.57.3–30.23.90.4–17
208619.55.5–32.47.90.2–19.1
2087196.9–388.60.2–17.4
208818.47.7–35.28.91.6–23.7
20891910.6–29.37.11–12.6
209016.36.8–33.55.10–18.9
209119.77.6–32.380.5–17.8
209217.36.1–32.75.80.2–16.6
2093156.5–29.83.90.7–12.1
209418.68.5–32.86.12.7–17
209519.25.9–38.98.10.2–21.4
209619.37.6–35.56.80–17.3
209717.36.2–36.12.60–16.8
209818.16.9–36.36.10.5–18.5
209920.37.4–34.660.1–18.6
210019.27–36.770.9–15.5

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

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