Sweden vs Tanzania

Sweden vs Tanzania: Tropical nights

Tropical nights in 2014: 0.1 nights in Sweden and 106.3 nights in Tanzania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Tanzania, by 106.3 nights, or 2,100 times that in Sweden.

nights a year · CMIP6

Sweden vs Tanzania: Tropical nightsTropical nights in 2014: 0.1 nights in Sweden and 106.3 nights in Tanzania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Tanzania, by 106.3 nights, or 2,100 times that in Sweden.
SwedenTanzaniaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Tanzania has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Sweden at 0.7 nights and Tanzania at 208 nights in 2100.

Every year

nights a year · CMIP6

YearSwedenTanzania
20140.1106.3
20130.1105.5
20120108.4
20110109
20100103.9
20090101.1
20080100.3
2007099.5
20060100.4
2005098.7
20040100.4
2003099.6
2002098.4
20010101.5
2000094.9
1999094.2
1998096.8
1997093.5
1996089.6
1995088.5
1994085.4
1993081.2
1992080.1
1991089.6
1990091.1
1989089.1
1988087.6
1987088.5
1986089.4
1985083
1984083.1
1983082.1
1982084.8
1981088
1980085
1979085.5
1978082.9
1977084.1
1976081
1975080.8
1974082.2
1973083.6
1972081.4
1971080.7
1970081.8
1969079.5
1968079.1
1967077.5
1966078.1
1965078
1964073.8
1963073.1
1962081.1
1961082.6
1960083.9
1959081.4
1958082.1
1957080.9
1956080
1955081.6
1954081.4
1953080.6
1952081.4
1951082.1
1950080.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearSwedenTanzania
20150.10–0.3114.895.2–137.4
201600–0.3108.391.6–125.6
201700–0.4114.893.6–137.8
201800–0.3116.497.4–137.1
20190.10–0.5113.495.2–133.2
202000–0.3119.396.2–143.5
202100–0.3119.5100.9–147.1
20220.10–0.5124.4105.3–147.4
20230.10–0.6122.1102.1–147.8
202400–0.4126.2100–150.1
20250.10–1124.6100.9–154
20260.10–1126.999.1–155.6
20270.10–0.3128102.9–147.7
20280.10–0.6129.9106.4–152.1
20290.10–0.8134.1111–156.5
20300.10–0.5129.4106.4–151.1
20310.10–0.4136.4115.9–158.4
20320.10–0.8135.1114–166.8
20330.10–0.8135.2110.9–161.9
20340.10–0.7134.7112.5–166.3
20350.20–0.8140.2114.6–165
20360.10–0.8137.8113.3–165.5
20370.10–1142.9121.5–168.9
20380.10–1.2147.9124.3–169.3
20390.10–0.8144.3117.6–171.3
20400.10–0.8140.5117–178
20410.10–1.2149.1121.7–175.6
20420.20–1.2146.3120.5–185.3
20430.20–1.1144.6117–173
20440.10–1.1147.7121.2–175.8
20450.10–0.6150.1125.2–183.4
20460.20–1.3161.5128.6–192.2
20470.30–2.1160.2129.7–194.4
20480.30–1.8158.8132.7–193.1
20490.20–1.6157.6131.1–196
20500.20–1.8159.7127.8–192
20510.20–1.7163.2135.5–197.8
20520.20–2161.9136.2–199.1
20530.10–1.3160.6127.5–197.7
20540.20–1.1163.2131.5–200.2
20550.20–1.6167.4137–208.3
20560.20–1.5166.4130.8–209.7
20570.20–1.4168134.6–208.3
20580.30–2.3168.7134.9–210.3
20590.30–1.7174.7144.9–219.5
20600.20–1.4181.7138.1–219.8
20610.40–1.6171.8135.5–218.1
20620.30.1–1.7177.5139.9–224
20630.20–2.1181.4140.1–213.8
20640.20–1.6185.3140.1–215.2
20650.30–3183.5141.1–221.8
20660.20–2.8181.9146.3–219.3
20670.30–2178.8138.8–229.2
20680.20–1.5186144.2–228.4
20690.60.1–3.1183.7141.7–225.3
20700.30–2180.7140.4–228.2
20710.30–2.7184.9146.9–235.2
20720.20–2191.3155–226.1
20730.40–4.6191.6152.4–235.6
20740.20–2.8183.3149.7–231.7
20750.30–2.9183.8144.8–233
20760.40–2.4191.1150.9–233.2
20770.40–2.2191.3152.6–238.2
20780.50–3.1189156.6–233.8
20790.40–3.1190.5147–237.3
20800.30–2.1197.3150.7–241.2
20810.30–3195.6153.4–237.4
20820.40–4.4194.5157.3–237.3
20830.50.1–3193.2151–249.8
20840.30–2.4201.1152.2–246.7
20850.40–3.3204.2162.3–252.3
20860.70–4195156–248.7
20870.60–6196.7160.8–244.5
20880.50–2.7208.4154.7–246.9
20890.50.1–3.4201.3158.6–248.2
20900.40–2.9197.9160.7–253.6
20910.60–3.9210161.6–256
20920.80–4.2205.8158.3–253.6
20930.70.1–4.8207.2161.2–251.9
20940.50–2.6207.9161.3–250.6
20950.50.1–4.3214.2166.4–258.5
20960.50–3.7205.3159.8–257.4
20970.50–4.5206.6158.4–256.8
20980.50.1–3.7209.1161–258.3
20990.30–3.2208.5160.1–256
21000.70–4.4208158.6–258.6

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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