France vs Philippines

France vs Philippines: Tropical nights

Tropical nights in 2014: 3.1 nights in France and 331.5 nights in Philippines, in the CMIP6 climate models’ median run. In 2014 the value was higher in Philippines, by 328.4 nights, or 110 times that in France.

nights a year · CMIP6

France vs Philippines: Tropical nightsTropical nights in 2014: 3.1 nights in France and 331.5 nights in Philippines, in the CMIP6 climate models’ median run. In 2014 the value was higher in Philippines, by 328.4 nights, or 110 times that in France.
FrancePhilippinesCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Philippines 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 Philippines at 351.3 nights in 2100.

Every year

nights a year · CMIP6

YearFrancePhilippines
20143.1331.5
20133.1330.9
20122.9331.1
20112.7329.8
20103.9330.6
20092.5329
20082.4327.5
20072.1327.8
20062.6328.7
20052.9329.7
20042.7329.4
20032.6327.1
20021.8328.9
20012.3327.8
20001.8326.8
19992.1327.5
19981.5326.5
19971.6325.4
19961.5324.6
19951.3324.2
19941.5321.5
19931.1319.5
19921318.4
19911.8324.1
19901.9323.5
19891.2322.5
19881.2324
19871.3323.1
19860.9322.1
19850.9321.4
19841.1321.7
19831.1319.4
19821320.5
19811.1320.4
19801.2322.7
19790.9321.2
19781.3320.6
19770.9319.8
19760.8319.6
19750.9319.6
19741.2320
19730.9319.4
19720.9318.9
19711318.8
19700.9319
19691318.7
19680.9317.2
19670.8317.4
19660.8318.8
19650.7317.2
19641314.9
19630.9317.2
19621.1318.6
19610.9319.3
19601.1318.6
19591.2320.5
19581321.8
19571319.4
19561.2320
19551.1319.3
19541.3317.7
19531320
19521.3319
19511.1319.8
19501.2320.4
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearFrancePhilippines
20153.61.5–8.6333319.8–339.5
20164.11.5–9.9334.2322.8–340.7
20173.51.3–10.2333.4319.7–339.8
20183.91.7–10.8333.2320.1–340.1
20194.51.6–9334.1323.4–341.2
20204.11.6–10.5334.6322.6–341.8
20214.51.3–13.2335.6323.3–341.1
202251.5–12.5335.7323.3–342.1
20234.81.6–12.5336.7324.8–343.2
20245.51.8–11.2337.2325.7–343.9
20255.81.5–12.1336.3326.2–342.8
20266.22.1–12.7336.5322.9–343
20275.41.7–11.2336.2325.7–342.3
20285.91.7–13.3337.1325.5–343.8
20296.31.9–12.6338.1327.2–344.6
20305.82.1–11.9337.7326.2–344.4
20315.92–11.8337.1325.6–343.8
20325.92.7–12.9339.4329.5–346.1
203372.5–13.6339.7329.6–345.5
20347.92.4–17.3338.8328.8–345
20356.92.4–14.4338.6327.5–346.4
20367.32.6–14.6339.6327.8–346.9
20377.32.6–13.3339.8329.1–345.5
20386.53–15.1341.9330.7–347.7
20396.92.6–14.3341.2330.4–346.9
20407.72.3–16340.4328.1–347.6
20418.12.6–15.2341.1329.1–346.7
20426.93–16342331.4–347.7
20437.92.8–15.6341.3329–348.1
20447.93.1–16.6342.8329.9–349.8
20459.23.2–19.6343.4333.8–348.7
20468.93.2–17.6342.7330.2–348.7
20479.74–19.2343.2331.7–350.6
20489.13.4–17343.3332.7–350.6
204910.13.7–20.8343.2332.5–349.5
205010.94.8–18.9344.3332.6–349.9
20519.23.5–18.4344.4334.9–350.8
2052103.4–21.2344.1333.5–350.9
20538.73.8–18344.3333.6–350.3
20549.74.4–19.2343.4332–349.9
20559.93.9–17.2344.3334.4–350.5
2056114.3–21.8345334.6–352.6
205710.94.2–19.8345.5335.1–351.5
205813.85.1–25.7345.8334.3–351.3
205911.23.3–25345.5333.7–351.6
206012.86.1–22346.8335.5–353.5
206112.64.7–23.2345.9335–351.8
206212.36.2–22.4346335.2–353.5
2063125.2–24.9346.6336.2–352.8
2064125.3–21.6346.9335.3–353
206512.53.9–30.8346.1335.9–351.9
206611.55.3–22.1346.5335.4–352.4
206718.38.1–33.3346.1335.4–352
2068135.4–23.4347.1335.1–354.1
206915.65.7–25.5347333.8–353.6
207013.55.2–29.1346.7336.1–352.7
2071154.4–30.2347.6336.2–353.9
207215.57.4–26347334.4–353.8
207313.96–29.1348.4336.7–355
207412.84.3–27.3348.6337–354.9
207513.96.3–25.6347.9337.2–354
2076166.1–33.8348.4337–355.1
207713.25–29.8348.7337–354.8
207813.75.1–33.6348.4338.2–354.7
207912.95.3–28.4348.8337.6–354.7
208014.45.4–27.9349.1338.4–355.9
208115.15.8–29.8348.8336.9–355.1
208216.46.1–33.9349.6338–354.9
208315.97.9–32349.9337.9–356.1
208414.16.6–27.7349.5336.7–356.4
208516.57.3–30.2349.1338.2–355.4
208619.55.5–32.4349.4337.5–354.9
2087196.9–38349.7338.7–356
208818.47.7–35.2349.9338.9–356.1
20891910.6–29.3350.2339.8–355.2
209016.36.8–33.5350.1339.7–355.9
209119.77.6–32.3349.5339.5–356.3
209217.36.1–32.7350.5339.3–356.1
2093156.5–29.8350.4337.9–356.5
209418.68.5–32.8350.5338.4–355.9
209519.25.9–38.9350.5338.3–355.7
209619.37.6–35.5351.1339–358
209717.36.2–36.1350.2339.3–355.6
209818.16.9–36.3350.3337.4–355.2
209920.37.4–34.6350.6339.3–356.4
210019.27–36.7351.3340.2–356.3

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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