Mozambique vs Zimbabwe

Mozambique vs Zimbabwe: Tropical nights

Tropical nights in 2014: 186.3 nights in Mozambique and 76.4 nights in Zimbabwe, in the CMIP6 climate models’ median run. In 2014 the value was higher in Mozambique, by 109.9 nights, or 2.44 times that in Zimbabwe.

nights a year · CMIP6

Mozambique vs Zimbabwe: Tropical nightsTropical nights in 2014: 186.3 nights in Mozambique and 76.4 nights in Zimbabwe, in the CMIP6 climate models’ median run. In 2014 the value was higher in Mozambique, by 109.9 nights, or 2.44 times that in Zimbabwe.
MozambiqueZimbabweCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Mozambique has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Mozambique at 254.4 nights and Zimbabwe at 148.3 nights in 2100.

Every year

nights a year · CMIP6

YearMozambiqueZimbabwe
2014186.376.4
2013186.978.4
2012185.275.9
2011184.173.3
2010182.271.5
2009178.269.6
2008176.869.8
2007178.969.3
2006177.470.3
2005176.969.5
200418171.8
200318072.9
2002177.171.3
2001180.671.3
2000173.667.4
1999171.562.3
1998174.166.3
1997169.962
1996164.757.7
1995165.858.9
1994163.156.8
1993155.550.1
199215652.1
1991167.558.7
1990170.261.5
198916460.4
1988166.461.6
198716657.3
1986166.658.6
1985159.354.1
1984161.154.6
1983159.753.3
1982160.653.7
1981164.557
1980161.957.3
1979162.256.2
1978160.253.1
1977160.255.2
1976157.451.2
1975157.753.6
1974159.154.2
1973160.453.9
1972157.653.2
1971155.651.1
1970159.753.1
1969157.853.3
196815348.7
1967152.848.7
1966152.548.8
1965153.148.6
1964145.944.6
1963146.847.4
1962158.555.8
1961158.851.6
1960160.655.6
1959159.753.6
1958159.555.3
1957156.953.2
1956153.448.6
1955159.654.4
1954155.453
1953156.851.8
1952156.652.7
1951157.452.3
1950156.351.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMozambiqueZimbabwe
2015191170.1–212.179.463.5–98.5
2016187.6168.6–208.278.657.9–101.7
2017190.1169.4–210.181.263.3–98.5
2018189.8163.6–212.882.160.5–104.1
2019189.7171.9–208.882.863.9–102.3
2020191.3169–213.884.362.9–106.9
2021193.1172.7–212.982.564.7–102.7
2022199.9176.3–216.789.870.1–108.8
2023196.8176.4–217.390.672.5–110.7
2024199.7173.4–222.893.769.8–113.4
2025195.7173–219.18865.1–114.6
2026197.7172.6–219.389.767.8–113.9
2027199.9177.9–221.895.668.4–119.6
2028202.5181.1–221.193.371.4–115.7
2029207.6187.3–227.3100.277.2–120
2030203.6183.2–223.89671.6–115.3
2031207.3188.7–2259874.9–119.8
2032207.4186.7–230.998.574.7–118.5
2033206.1180.7–226.198.974–120.6
2034206.3181.3–227.7100.277.3–128.1
2035208.2184.1–233.6103.975.7–130.6
2036208.3183.8–226.4100.878–123
2037213.7191.8–234.310882.1–131.1
2038218.4195.7–240.9110.986.5–135
2039212.6192.3–233.5102.480.4–122.3
2040212.7189–233.9101.379.5–133.5
2041213.1187.1–238108.483.7–134.2
2042214.9190.4–241.3108.883.1–139.9
2043216196.2–238.9107.985.7–137.3
2044220.2196.1–242.1111.287–134.8
2045217.2198.6–237.6106.186.2–130.7
2046224.4200.5–247.6112.386.4–139.1
2047224.5201.3–246.3119.692.1–145.9
2048225.7205–247.5116.888.4–143.9
2049226.4199.2–247.8119.290.4–146.2
2050225.5198.1–246.6122.794.1–148.6
2051227.5206.2–248.7122.4100.9–147.7
2052230.5208.6–255.2124.2101.3–152.8
2053226.3200.4–250121.689–146.9
2054227.8203.9–256.1123.993.9–150.8
2055231.5208.3–254.4126.597.9–153.7
2056227.8204.6–253.1126.198–154.7
2057227.6205.7–252.2122.797.6–150.7
2058230.2208.3–251.8125.3103–154.1
2059235.5212.5–261.4132.2107.4–157.4
2060237.5208.9–257.9132.599.9–159
2061232.1204.8–256.1126.694.2–161.1
2062233.2208.6–257.9126.399.6–157.3
2063233.3207.3–261.6127.7101–159.7
2064234.6209.3–255.8130.498–151.3
2065236208.7–261132.4107.6–165.6
2066239.4213.6–261.8134.5106.8–159.8
2067235.5205.9–259.4125.598.9–160.5
2068237.7211–264.3134102.3–166.1
2069241.1212.2–263.4136.9106.4–164.2
2070240.7212.1–266133.199.8–166.3
2071244.1214.3–272.8135.2108.4–173.7
2072244.7215.8–267.8140.4110.6–166.8
2073246214.2–267.6140.9109.7–173.6
2074242.2219.9–271.1135.5112–170.6
2075244.4215.6–267.9136108.5–166.6
2076240.8211–264.8133.7105.9–163.7
2077241.4214.7–272.4140.2114.3–170.6
2078245.4220.8–271.1137.5111.3–172.3
2079244.1214.3–276.4136.9110.2–172.6
2080246.1221–273.6145115.8–173.2
2081245.6214.5–268.1147.2106.5–174.1
2082246.9220.6–268.3141.4111.4–169.9
2083247.3217.4–276.4143.6106.5–179.2
2084248.5223.3–270.9149.4117.3–176.9
2085253.4221.5–277.6154.3114.9–182.7
2086242.9216.4–272.3141.7115.3–176.1
2087247.4222.8–271.3142.7116.8–177.3
2088253221.1–274.9150.2118.3–178.9
2089251.6221.9–277.3148.9121.3–176.4
2090249.9218.6–277.9145.7113.7–179.4
2091253.2221.4–280.8149.7116.5–181.8
2092252.7221.5–279.5149.4119.7–181.7
2093256221.7–279.4152.5117.1–184.1
2094251.8221–280.3150.9117.3–182.2
2095255.6225.8–278.1155118.3–181.5
2096254.7225.8–280.4152.4113.1–189.2
2097253.2221.8–281.6144.1113.8–183.3
2098256.1225.2–279.6152.4119.2–187
2099254.9223.4–278.7152.9117.3–185
2100254.4226.1–279.1148.3120.1–184.6

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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