Germany vs Saudi Arabia

Germany vs Saudi Arabia: Tropical nights

Tropical nights in 2014: 0.8 nights in Germany and 181.5 nights in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Saudi Arabia, by 180.7 nights, or 220 times that in Germany.

nights a year · CMIP6

Germany vs Saudi Arabia: Tropical nightsTropical nights in 2014: 0.8 nights in Germany and 181.5 nights in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Saudi Arabia, by 180.7 nights, or 220 times that in Germany.
GermanySaudi ArabiaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Saudi Arabia 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 Saudi Arabia at 218.7 nights in 2100.

Every year

nights a year · CMIP6

YearGermanySaudi Arabia
20140.8181.5
20130.7180.4
20120.9182.8
20110.5182.7
20100.9179.2
20090.5177.1
20080.2180.3
20070.3178.9
20060.3177.5
20050.6177.9
20040.7177.6
20030.6177.4
20020.2175.6
20010.5178.1
20000.2176.4
19990.2173.2
19980.1173.4
19970.1173.8
19960.2172
19950.1169.2
19940170.4
19930164.6
19920165.9
19910.1169.2
19900.1172.7
19890.1168.9
19880166.8
19870167.3
19860169.4
19850.1166
19840.1165
19830163.5
19820164.7
19810168.9
19800166.8
19790165.3
19780.1164.8
19770165.6
19760165.9
19750161.2
19740.1162.9
19730163.7
19720163.7
19710160.4
19700.1162.5
19690161.3
19680162.7
19670159.5
19660159.5
19650159.5
19640159.9
19630160.2
19620163.2
19610163.7
19600165.7
19590.1164.4
19580164.1
19570165.5
19560163.6
19550162
19540.1161.2
19530162.5
19520163.4
19510161.2
19500161.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearGermanySaudi Arabia
20150.50–4184.9169.4–198.7
20160.80–4.3183167.7–195.7
20170.70–5.1182.6168.1–196.7
20180.70–3.5186.8173.1–199.4
20191.20–5184.1168.8–199.1
20201.20–5.7185.3171.8–198.9
202110–6188.6173.6–202.8
20221.40–5.7187.6170.7–202
20231.10–5.7188.6173–203.8
20241.20–5.2187.1172.9–203.9
20251.90–8.2191.5176–206.1
20261.90.1–6.5191.8177.1–205.5
20271.40–4.7191.2176.6–206.8
20281.50.1–5.5191.9175.5–205.1
202920.1–6.4192.2176.6–205.7
20301.60–6.1193.3178.4–206.3
20311.40–5.4194.7179.1–207.6
20321.50.1–7.6192.2175.2–206
20331.70–6.8192.6177.5–206.9
20342.10.2–8.3196.7181.6–213
20351.70.1–6.9196.5179.9–211.6
20362.80.1–7.8194.1180–209.7
20372.50–9.2197183.7–209.9
20382.20.1–9.7198.4182.3–213.3
203930–8.9198184.4–213.6
20402.30.1–7.1199.2182.1–212.7
20412.40.1–7.9197.7181.4–211.7
20422.90.4–8.9198.3181.2–217
20433.10.1–8.7198.2182.3–215.3
20443.10.2–10.1199.2185.5–213.5
204530.1–8.7202187.1–216.8
20463.10.5–10.9204.1185.3–219.4
20474.30.3–10.6204.1187.4–220
20483.70.2–12.9206.1190.7–220
20494.40.2–11.8201.6187.7–216.2
20503.10.6–9.3205.7190.2–219.3
20512.70.1–9.5204.3188.8–222.1
20523.60.2–11.5203.8189.6–218
20532.30.4–8.7203.8186.3–218.8
20543.50.4–10.3207.6188.3–222.3
20553.30.4–11.3207.8190.8–221
20564.50.7–14.3203.7186.6–220.1
205740.4–11.3207.5188.8–224.2
20585.80.7–15.5205.9189.2–221.4
20595.10.1–15.6207.3191.6–226.9
20604.40.6–12.3206.9192.7–222.8
20615.31–12.3206.5190.4–220.9
20625.51.6–14.2208.1189.4–228.3
20635.20.8–13.8210.4193–227.1
20644.10.5–12.2207.5191.9–223.3
20654.90.3–15.8208.9193.9–226.1
20665.30.7–11.8210.3194.9–228
20677.21.4–17.5210.9193.1–228.6
20683.90.9–11.3209.8194.6–228.6
20696.11.6–15208.9194.5–226.3
20705.80.6–14.9211.2191.2–229
20716.30.6–16.4215.1196.3–233.3
20726.21.9–13213.6195.3–229.3
20735.51.3–16.2213.7194.1–231.6
20745.50.5–16.7210.5191.9–229.3
20756.21.4–18.3212.1196.6–231.8
20767.41.1–20.1212.8194.8–230.3
20776.31.1–17.4215.1196.6–233.9
20786.50.7–21.4215.5197.6–230.7
20796.70.6–22.7213.6197–229
20806.51.2–14.9213.6197.1–233.9
20816.60.9–18.5214.7194.4–231.6
20827.91.4–22.5214198.9–230.9
20837.61.3–16.8214.2198.5–238
20845.91.1–15.9217.4197.4–233.1
20856.50.9–17.6217.4199.6–237.9
20867.90.8–23217197.4–237.4
20879.91.1–24.1217.3199.7–238.7
20888.92–18.4216.1198.2–243.1
20898.31.9–19.2217.6199.5–239
20906.20.8–24.1217.3198.5–239.2
20919.31.3–23.5218.5202.8–238.4
20928.61.7–19.2218.5198.5–241.6
20936.20.8–18.2216.6197.8–236.3
20949.32.4–20.4218.8202–236.9
20959.51.1–24219.4204.2–237.4
20968.10.2–21.4219.9197.7–239.6
20976.40.5–20.1216.7196.8–239.7
20989.31.4–22.1219.7199.6–241.3
20998.11.4–20.8216.8200.8–236.8
21008.81.9–21.1218.7202.3–241

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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