France vs India

France vs India: Tropical nights

Tropical nights in 2014: 3.1 nights in France and 215.5 nights in India, in the CMIP6 climate models’ median run. In 2014 the value was higher in India, by 212.4 nights, or 70 times that in France.

nights a year · CMIP6

France vs India: Tropical nightsTropical nights in 2014: 3.1 nights in France and 215.5 nights in India, in the CMIP6 climate models’ median run. In 2014 the value was higher in India, by 212.4 nights, or 70 times that in France.
FranceIndiaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • India 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 India at 250.4 nights in 2100.

Every year

nights a year · CMIP6

YearFranceIndia
20143.1215.5
20133.1216
20122.9217.4
20112.7215.5
20103.9215.2
20092.5213.7
20082.4213.7
20072.1213.3
20062.6212.5
20052.9212.9
20042.7214.9
20032.6212.1
20021.8213
20012.3212.2
20001.8210.8
19992.1211.9
19981.5210.3
19971.6209.5
19961.5207
19951.3208.8
19941.5207.1
19931.1206
19921203.5
19911.8208
19901.9209.9
19891.2208
19881.2207.3
19871.3207.2
19860.9207.2
19850.9205.9
19841.1206.7
19831.1203.3
19821205.7
19811.1208.4
19801.2205.3
19790.9205.5
19781.3204.1
19770.9205.9
19760.8204.6
19750.9202.6
19741.2205.3
19730.9205.6
19720.9203.8
19711203.6
19700.9202.6
19691203.6
19680.9201.7
19670.8201.6
19660.8203.9
19650.7202.4
19641201.2
19630.9201.8
19621.1203.8
19610.9206.3
19601.1206
19591.2206.1
19581204
19571206.5
19561.2204
19551.1203.2
19541.3206
19531204
19521.3204.4
19511.1204.3
19501.2206.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearFranceIndia
20153.61.5–8.6216.9202.1–228.4
20164.11.5–9.9215202.5–227.6
20173.51.3–10.2216.2202.1–228.5
20183.91.7–10.8218.3204.5–231.4
20194.51.6–9217.4202.3–230.4
20204.11.6–10.5217.6203.1–232
20214.51.3–13.2219.7204.5–233.2
202251.5–12.5220.5205.8–233
20234.81.6–12.5220.4206.4–233.7
20245.51.8–11.2222.6208.1–236.3
20255.81.5–12.1219.7202.7–236.2
20266.22.1–12.7220.2204.2–236.8
20275.41.7–11.2223.6207.1–239
20285.91.7–13.3222.1205.1–235.7
20296.31.9–12.6225.4210–240.3
20305.82.1–11.9222.7207.3–235.6
20315.92–11.8223.8207.1–237.8
20325.92.7–12.9225.9210–240.5
203372.5–13.6223.8209.3–235.4
20347.92.4–17.3225.8210–242.7
20356.92.4–14.4224.9210.6–240.9
20367.32.6–14.6224.2210.4–240.3
20377.32.6–13.3228.3213.6–242.6
20386.53–15.1228.1212.6–241.4
20396.92.6–14.3227.4211.9–242.8
20407.72.3–16227212.2–242
20418.12.6–15.2227.1210.7–240.5
20426.93–16229.1214.8–244.2
20437.92.8–15.6228.9214.5–244
20447.93.1–16.6229.7214.7–244.2
20459.23.2–19.6231.2216.6–246.1
20468.93.2–17.6232.6216.2–248.6
20479.74–19.2232.4215.5–250
20489.13.4–17235.6218.5–254.3
204910.13.7–20.8235.3218.3–249.9
205010.94.8–18.9233.5216.6–253.4
20519.23.5–18.4234.9218.6–249.9
2052103.4–21.2234219.4–249.3
20538.73.8–18234.9219.5–252.5
20549.74.4–19.2237.2219.4–253.1
20559.93.9–17.2237.2220.7–256.6
2056114.3–21.8238.8221.2–254.9
205710.94.2–19.8235.7218.5–253.8
205813.85.1–25.7238.8222.8–254.1
205911.23.3–25241.1224.9–256.2
206012.86.1–22240.9225.6–255.6
206112.64.7–23.2237.9220.6–253.7
206212.36.2–22.4239.9221.2–259.7
2063125.2–24.9239.9222.3–256.1
2064125.3–21.6240223.8–256.3
206512.53.9–30.8240.9222.9–257.3
206611.55.3–22.1241.5224.1–258.6
206718.38.1–33.3241.6224.8–257.9
2068135.4–23.4242.3224.6–262.1
206915.65.7–25.5242.8225.4–259.1
207013.55.2–29.1240.1225.3–257.1
2071154.4–30.2241.8223.7–260.2
207215.57.4–26242.6225.4–259.2
207313.96–29.1243.8228–259.3
207412.84.3–27.3241.6226.9–258.4
207513.96.3–25.6243.5226.4–258.2
2076166.1–33.8243.2224.6–259.9
207713.25–29.8243.7226.6–264.6
207813.75.1–33.6246.7230.1–261.5
207912.95.3–28.4244.9226.4–261.3
208014.45.4–27.9246.7227–263.7
208115.15.8–29.8247.5230.4–264.8
208216.46.1–33.9244.6227.9–262.3
208315.97.9–32247.5227.8–265.1
208414.16.6–27.7247.3228.3–266.8
208516.57.3–30.2246.5227.5–267.1
208619.55.5–32.4245.6227.7–266.5
2087196.9–38245.5226.7–266.2
208818.47.7–35.2247229.4–266.9
20891910.6–29.3248.1230–266.3
209016.36.8–33.5249228.9–266.4
209119.77.6–32.3248.9230–266.5
209217.36.1–32.7249.8232.3–267.8
2093156.5–29.8248.1229–266.5
209418.68.5–32.8249.1230.6–268.4
209519.25.9–38.9251233.2–270
209619.37.6–35.5247.8231.4–269.3
209717.36.2–36.1251.1231.4–268
209818.16.9–36.3252.3230.8–268.3
209920.37.4–34.6248.7230.1–268.3
210019.27–36.7250.4232.9–266.7

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

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