Austria vs Egypt

Austria vs Egypt: Tropical nights

Tropical nights in 2014: 0.8 nights in Austria and 145 nights in Egypt, in the CMIP6 climate models’ median run. In 2014 the value was higher in Egypt, by 144.2 nights, or 170 times that in Austria.

nights a year · CMIP6

Austria vs Egypt: Tropical nightsTropical nights in 2014: 0.8 nights in Austria and 145 nights in Egypt, in the CMIP6 climate models’ median run. In 2014 the value was higher in Egypt, by 144.2 nights, or 170 times that in Austria.
AustriaEgyptCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Egypt has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Austria at 6.7 nights and Egypt at 183.4 nights in 2100.

Every year

nights a year · CMIP6

YearAustriaEgypt
20140.8145
20130.4145
20120.5145.1
20110.6144.7
20100.5143.5
20090.3140.2
20080.3142.6
20070.2140.5
20060.4139.6
20050.4140
20040.4141.3
20030.3141
20020.2137.7
20010.3139
20000.3134.8
19990.3135.5
19980.1133
19970.1134
19960.2132.1
19950.2130.2
19940.1129.8
19930123.6
19920126.1
19910.2129.7
19900.2129.7
19890.2126
19880.1124.3
19870.1125.8
19860.1128.9
19850.1125.7
19840119.4
19830.1119.4
19820120.7
19810122.6
19800.1124.9
19790119.2
19780.1122.6
19770121.3
19760.1123.2
19750.1121.9
19740.1123.1
19730123.5
19720.1120.1
19710120.7
19700119.7
19690.1118.3
19680119.4
19670.1116.2
19660116.1
19650112.9
19640.1116.4
19630.1120.2
19620118.9
19610.1118.7
19600123.6
19590.2123.2
19580120.7
19570122.4
19560.1122.7
19550.1119.4
19540120.8
19530.1121.3
19520.1120.7
19510121.2
19500.1118.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAustriaEgypt
20150.60.1–2149.6131.4–164.2
20160.70.1–2.6147.7133.5–160.2
20170.90.1–3.4150.8134.8–163.2
20180.80.2–3.2147.4133.4–165.6
20190.90.2–2.9149.6132.7–164
20201.30.2–3.4150.8136.4–164.7
20210.70.1–3.1152.1137.8–168.1
20221.10.1–3.4154138.1–170.6
20230.90.1–3.9154.4139–168.4
20240.90.1–3.4155.8141.7–168.5
20251.60–4154.5139.6–168.1
20261.40.2–4.4155.1144.5–165.9
20271.10.1–3.6154.2139.5–166.3
20281.30.3–4.3154.5141.8–168.6
20291.50.2–5.5156.3139.9–169.5
20301.20.1–4.2156.3143.1–169.1
20311.30.2–4.1155.5141.5–171.2
20321.50.2–4.9158.3144.6–170.4
20331.60.1–5159.9143.8–172.9
203420.1–5.8159.8144.9–173.2
20351.90.3–5.3163.5146.6–175.8
20362.30.4–7156.2143.7–170.6
20372.20.3–6.6158.8142.9–173.8
20381.90.3–7.1164.9146.1–177.8
20392.80.3–6.4161.8146.1–180.1
20402.40.7–5.8161.6147.9–176.5
20412.40.5–5.5163.7149.4–177.3
20422.50.4–6.8166.5149.7–180.6
20432.70.4–6.2163.6150.3–176.8
20442.30.6–7.4162.2147–178
20452.70.4–6.5167.2152.5–181
20462.90.4–8.7166149–181.1
20473.80.3–8.2165.9151.8–181.5
20483.20.3–10.2167.2154.5–180.1
20493.50.2–7.6165.3148.7–177.9
20502.81–7170152.8–183
20512.40.4–8.2165.6152.7–179.5
20523.60.5–7.5167.3156–180.2
20532.30.6–6.3170.1153.6–183.8
20542.70.8–7169153.3–183
20553.20.5–9.2170.5153.5–183.3
20563.61–8.8168.3151.2–181.4
20573.30.8–7.5166.8150.7–185.3
205850.3–10.8171.8154.2–188.2
20594.40.6–11.5173.3157.8–188.6
20603.91.1–10170.5154.8–189.3
20614.51.4–9.4170.3155.1–184.6
20623.90.9–9.2172.1155.2–185.7
20635.41.4–11.3169.7152.8–182.6
20644.70.9–9.9172.3155.9–187.2
206551.3–10.6173.3159.7–189.9
20664.91.2–11.6170155–187.7
20675.91.3–13.5176.2161.5–190
20684.71.6–9.3174.6157.3–193.1
20695.11.3–10.1175.8158.8–191.7
20704.41.2–11.6173.3158.3–191.7
20714.80.5–12.5176.8158.1–194.7
20725.81.9–10.2177.6160.8–192.1
20735.31.4–10.5176159.2–189.3
20744.51–11.8171.9156.5–194.1
20755.61.5–13.6171.8157–191.9
20766.20.9–14.6177161–194.6
20774.51.4–12.9179.7157–194.1
20785.61–15178.4161–195
20796.80.8–17.4178.2160.2–193.7
20806.31.8–13.3178.5163–193.3
20815.71.6–12.9177.2160–192.8
208272.2–16.2178.8164.5–193.3
20835.31.5–12.9180.6164.4–195.7
20846.11.3–11.5181.4162.4–197.8
20856.41.9–13.3178.8163–196.7
20866.41.7–15.1181.9166.6–198.8
20877.21.4–15.3178156.4–194.3
208872.3–15177.8163.5–196
20896.51.8–19180.9163.5–198.9
20906.11.9–17.7179.9162.4–197.8
20917.91.9–16.7184.2165.1–198.9
20926.91.4–14.4180.3162.9–196.3
20935.61.4–13.6181.1166.1–198.2
20948.51.8–15.3185.4168–198.9
20957.21.2–16181.9165.5–197.3
20966.51–15.2183.1163.5–200.3
20975.41.1–15181.5165.4–198.9
20987.62.1–15.1181.7162.1–198.8
20997.51.3–17.6179.9164.2–197.8
21006.72.5–16.1183.4162.9–198.1

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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