Germany vs Philippines

Germany vs Philippines: Tropical nights

Tropical nights in 2014: 0.8 nights in Germany and 331.5 nights in Philippines, in the CMIP6 climate models’ median run. In 2014 the value was higher in Philippines, by 330.7 nights, or 400 times that in Germany.

nights a year · CMIP6

Germany vs Philippines: Tropical nightsTropical nights in 2014: 0.8 nights in Germany and 331.5 nights in Philippines, in the CMIP6 climate models’ median run. In 2014 the value was higher in Philippines, by 330.7 nights, or 400 times that in Germany.
GermanyPhilippinesCMIP6 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 Germany at 8.8 nights and Philippines at 351.3 nights in 2100.

Every year

nights a year · CMIP6

YearGermanyPhilippines
20140.8331.5
20130.7330.9
20120.9331.1
20110.5329.8
20100.9330.6
20090.5329
20080.2327.5
20070.3327.8
20060.3328.7
20050.6329.7
20040.7329.4
20030.6327.1
20020.2328.9
20010.5327.8
20000.2326.8
19990.2327.5
19980.1326.5
19970.1325.4
19960.2324.6
19950.1324.2
19940321.5
19930319.5
19920318.4
19910.1324.1
19900.1323.5
19890.1322.5
19880324
19870323.1
19860322.1
19850.1321.4
19840.1321.7
19830319.4
19820320.5
19810320.4
19800322.7
19790321.2
19780.1320.6
19770319.8
19760319.6
19750319.6
19740.1320
19730319.4
19720318.9
19710318.8
19700.1319
19690318.7
19680317.2
19670317.4
19660318.8
19650317.2
19640314.9
19630317.2
19620318.6
19610319.3
19600318.6
19590.1320.5
19580321.8
19570319.4
19560320
19550319.3
19540.1317.7
19530320
19520319
19510319.8
19500320.4
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearGermanyPhilippines
20150.50–4333319.8–339.5
20160.80–4.3334.2322.8–340.7
20170.70–5.1333.4319.7–339.8
20180.70–3.5333.2320.1–340.1
20191.20–5334.1323.4–341.2
20201.20–5.7334.6322.6–341.8
202110–6335.6323.3–341.1
20221.40–5.7335.7323.3–342.1
20231.10–5.7336.7324.8–343.2
20241.20–5.2337.2325.7–343.9
20251.90–8.2336.3326.2–342.8
20261.90.1–6.5336.5322.9–343
20271.40–4.7336.2325.7–342.3
20281.50.1–5.5337.1325.5–343.8
202920.1–6.4338.1327.2–344.6
20301.60–6.1337.7326.2–344.4
20311.40–5.4337.1325.6–343.8
20321.50.1–7.6339.4329.5–346.1
20331.70–6.8339.7329.6–345.5
20342.10.2–8.3338.8328.8–345
20351.70.1–6.9338.6327.5–346.4
20362.80.1–7.8339.6327.8–346.9
20372.50–9.2339.8329.1–345.5
20382.20.1–9.7341.9330.7–347.7
203930–8.9341.2330.4–346.9
20402.30.1–7.1340.4328.1–347.6
20412.40.1–7.9341.1329.1–346.7
20422.90.4–8.9342331.4–347.7
20433.10.1–8.7341.3329–348.1
20443.10.2–10.1342.8329.9–349.8
204530.1–8.7343.4333.8–348.7
20463.10.5–10.9342.7330.2–348.7
20474.30.3–10.6343.2331.7–350.6
20483.70.2–12.9343.3332.7–350.6
20494.40.2–11.8343.2332.5–349.5
20503.10.6–9.3344.3332.6–349.9
20512.70.1–9.5344.4334.9–350.8
20523.60.2–11.5344.1333.5–350.9
20532.30.4–8.7344.3333.6–350.3
20543.50.4–10.3343.4332–349.9
20553.30.4–11.3344.3334.4–350.5
20564.50.7–14.3345334.6–352.6
205740.4–11.3345.5335.1–351.5
20585.80.7–15.5345.8334.3–351.3
20595.10.1–15.6345.5333.7–351.6
20604.40.6–12.3346.8335.5–353.5
20615.31–12.3345.9335–351.8
20625.51.6–14.2346335.2–353.5
20635.20.8–13.8346.6336.2–352.8
20644.10.5–12.2346.9335.3–353
20654.90.3–15.8346.1335.9–351.9
20665.30.7–11.8346.5335.4–352.4
20677.21.4–17.5346.1335.4–352
20683.90.9–11.3347.1335.1–354.1
20696.11.6–15347333.8–353.6
20705.80.6–14.9346.7336.1–352.7
20716.30.6–16.4347.6336.2–353.9
20726.21.9–13347334.4–353.8
20735.51.3–16.2348.4336.7–355
20745.50.5–16.7348.6337–354.9
20756.21.4–18.3347.9337.2–354
20767.41.1–20.1348.4337–355.1
20776.31.1–17.4348.7337–354.8
20786.50.7–21.4348.4338.2–354.7
20796.70.6–22.7348.8337.6–354.7
20806.51.2–14.9349.1338.4–355.9
20816.60.9–18.5348.8336.9–355.1
20827.91.4–22.5349.6338–354.9
20837.61.3–16.8349.9337.9–356.1
20845.91.1–15.9349.5336.7–356.4
20856.50.9–17.6349.1338.2–355.4
20867.90.8–23349.4337.5–354.9
20879.91.1–24.1349.7338.7–356
20888.92–18.4349.9338.9–356.1
20898.31.9–19.2350.2339.8–355.2
20906.20.8–24.1350.1339.7–355.9
20919.31.3–23.5349.5339.5–356.3
20928.61.7–19.2350.5339.3–356.1
20936.20.8–18.2350.4337.9–356.5
20949.32.4–20.4350.5338.4–355.9
20959.51.1–24350.5338.3–355.7
20968.10.2–21.4351.1339–358
20976.40.5–20.1350.2339.3–355.6
20989.31.4–22.1350.3337.4–355.2
20998.11.4–20.8350.6339.3–356.4
21008.81.9–21.1351.3340.2–356.3

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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