Lesotho vs South Africa

Lesotho vs South Africa: Tropical nights

Tropical nights in 2014: 0 nights in Lesotho and 27.1 nights in South Africa, in the CMIP6 climate models’ median run. In 2014 the value was higher in South Africa, by 27.1 nights.

nights a year · CMIP6

Lesotho vs South Africa: Tropical nightsTropical nights in 2014: 0 nights in Lesotho and 27.1 nights in South Africa, in the CMIP6 climate models’ median run. In 2014 the value was higher in South Africa, by 27.1 nights.
LesothoSouth AfricaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • South Africa has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Lesotho at 0.1 nights and South Africa at 58.7 nights in 2100.

Every year

nights a year · CMIP6

YearLesothoSouth Africa
2014027.1
2013028.3
2012027.9
2011026.1
2010026
2009025.8
2008024.8
2007024.7
2006025.5
2005025.3
2004025.8
2003025.1
2002025
2001024.5
2000023.3
1999023
1998023.4
1997022.5
1996020.4
1995019.3
1994020
1993018.1
1992018.1
1991022.3
1990022.7
1989022
1988021.2
1987021.9
1986021
1985018.9
1984020
1983019
1982020.3
1981020
1980021.2
1979019.9
1978019.8
1977019.2
1976019.2
1975018.8
1974019.7
1973019.6
1972019
1971019.1
1970018.6
1969018.7
1968017.8
1967017.5
1966017.8
1965017.2
1964014.9
1963016.5
1962019.6
1961019.7
1960019.8
1959018.5
1958019.3
1957019.4
1956018
1955019.5
1954018.4
1953018.4
1952019.3
1951018.9
1950018.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearLesothoSouth Africa
201500–028.620–39.5
201600–026.817.8–37.9
201700–028.919.6–37.8
201800–029.620.6–40.6
201900–0.129.820.8–41.5
202000–029.518.9–39.1
202100–031.121.4–42.9
202200–0.13223.7–43.1
202300–031.922.9–41.8
202400–03324–45.6
202500–031.920.7–44.5
202600–034.521.9–46.9
202700–034.423–47.7
202800–033.522.9–46
202900–036.226.5–48.3
203000–036.124.9–49
203100–036.324.5–50.3
203200–036.424.5–49.2
203300–036.924.5–48.3
203400–037.626.4–51.8
203500–037.625.2–49.5
203600–03826.5–50.5
203700–039.928.2–53.4
203800–0.141.528.4–54.2
203900–039.227–52.9
204000–0.138.125.6–55.6
204100–0.140.227.4–54.3
204200–0.14229–56.4
204300–0.142.128.2–58.4
204400–0.141.929.5–57.8
204500–0.242.728.2–59
204600–0.144.130–59.5
204700–0.144.630.7–61.2
204800–0.14531.9–61.5
204900–0.145.632.3–61.4
205000–0.246.931–63.6
205100–0.247.532–65
205200–0.148.332.7–64.3
205300–045.733.7–62.1
205400–0.14833.3–64.3
205500–0.146.833–68.4
205600–0.247.933.2–64.8
205700–0.250.232.6–68.9
205800–0.247.934–66.4
205900–0.151.333.1–66.9
206000–0.251.936–69.9
206100–0.250.534.8–71.3
206200–0.350.532.7–71
206300–0.250.434.3–69.7
206400–0.25134.1–67.7
206500–0.250.433.6–70.2
206600–0.75335.7–72.4
206700–0.150.634.8–70.4
206800–0.354.837.8–72.5
206900–0.554.339.1–73.4
207000–0.354.337.2–73.3
207100–0.355.837.9–76.9
207200–0.35639.4–78.6
20730.10–0.660.443.4–80.3
207400–0.357.439.1–75.3
207500–0.356.137.7–76
207600–0.558.538.4–75.3
20770.10–0.557.341–80.5
207800–0.35639.5–79
20790.10–0.457.639.3–78
20800.10–0.759.540.3–80.9
208100–0.45841.5–79.6
208200–0.458.839.7–77.7
20830.10–160.839.1–82.9
20840.10–0.562.540.4–82.9
20850.10–0.660.741.3–87.6
208600–0.560.542.1–83.3
208700–0.457.941–82.9
20880.10–1.564.243.4–85.3
208900–0.661.541.3–81.2
20900.10–0.861.641.5–86.8
209100–0.863.341.6–86.3
20920.20–0.763.144.9–84.8
20930.10–0.962.443.2–86.1
20940.10–0.963.145.6–87.4
20950.10–1.565.342.6–91.7
209600–0.96142.7–90.1
20970.10–0.458.841.2–84.6
20980.10–1.265.143.8–89.8
20990.10–0.764.345–87
21000.10–0.758.742–88.2

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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