Botswana vs Zimbabwe

Botswana vs Zimbabwe: Tropical nights

Tropical nights in 2014: 108 nights in Botswana and 76.4 nights in Zimbabwe, in the CMIP6 climate models’ median run. In 2014 the value was higher in Botswana, by 31.6 nights, or 1.41 times that in Zimbabwe.

nights a year · CMIP6

Botswana vs Zimbabwe: Tropical nightsTropical nights in 2014: 108 nights in Botswana and 76.4 nights in Zimbabwe, in the CMIP6 climate models’ median run. In 2014 the value was higher in Botswana, by 31.6 nights, or 1.41 times that in Zimbabwe.
BotswanaZimbabweCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Botswana has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Botswana at 173.7 nights and Zimbabwe at 148.3 nights in 2100.

Every year

nights a year · CMIP6

YearBotswanaZimbabwe
201410876.4
2013111.878.4
2012111.375.9
2011103.873.3
2010104.571.5
2009100.769.6
200899.469.8
200797.269.3
200698.470.3
200510369.5
200410571.8
2003104.872.9
2002103.871.3
2001100.971.3
200096.767.4
19999362.3
199898.566.3
199793.162
199685.157.7
199585.958.9
199480.656.8
199372.950.1
199275.252.1
199188.958.7
199092.461.5
19899160.4
198885.861.6
198787.657.3
198683.258.6
19857654.1
198477.454.6
198377.353.3
198285.353.7
198182.857
198083.557.3
197978.756.2
197877.553.1
197776.955.2
197673.251.2
197578.453.6
197479.754.2
19737853.9
19727453.2
197173.351.1
197071.753.1
196975.853.3
196870.148.7
196768.148.7
196669.848.8
196570.148.6
196463.644.6
196361.547.4
196280.855.8
196173.851.6
196079.855.6
195976.153.6
195878.355.3
195781.453.2
195666.848.6
195577.954.4
195470.853
195372.551.8
195278.852.7
195178.552.3
195072.451.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBotswanaZimbabwe
2015113.889.4–136.379.463.5–98.5
2016110.879.7–133.678.657.9–101.7
201711591.1–135.481.263.3–98.5
201811892.7–141.382.160.5–104.1
2019115.588.9–136.182.863.9–102.3
2020118.289.2–143.184.362.9–106.9
2021119.891.9–143.482.564.7–102.7
2022125.2101.2–147.889.870.1–108.8
2023126.4102.7–145.290.672.5–110.7
2024124.699–151.393.769.8–113.4
2025121.986.3–150.48865.1–114.6
2026129.396.6–150.289.767.8–113.9
2027129.4105.3–158.195.668.4–119.6
2028127.698–153.393.371.4–115.7
2029132.4113.2–150.2100.277.2–120
2030132.3104.8–154.89671.6–115.3
2031136.1101–158.89874.9–119.8
2032135.4108.1–159.698.574.7–118.5
2033136.3105.8–155.898.974–120.6
2034139.3107.7–161.6100.277.3–128.1
2035136.9110.3–159.6103.975.7–130.6
2036137.7114.1–157.7100.878–123
2037142.5117.1–165.610882.1–131.1
2038146.4119.4–165.9110.986.5–135
2039139.3110.5–159.2102.480.4–122.3
2040134.6108.8–164.7101.379.5–133.5
2041142.5120.2–166.5108.483.7–134.2
2042145.1121.4–171.9108.883.1–139.9
2043144.6122.2–171107.985.7–137.3
2044148.4121.9–167.9111.287–134.8
2045144.5117.2–166.8106.186.2–130.7
2046150119.2–170.1112.386.4–139.1
2047152.8124.3–175.9119.692.1–145.9
2048152.2122.8–174.1116.888.4–143.9
2049156.3125.4–180.8119.290.4–146.2
2050155.4122.4–178.2122.794.1–148.6
2051155.3131.2–176.6122.4100.9–147.7
2052157.4132.6–180.8124.2101.3–152.8
2053156.6127.7–178.2121.689–146.9
2054156.5123.1–186.7123.993.9–150.8
2055154.8128.5–184.4126.597.9–153.7
2056157.8127.1–180.3126.198–154.7
2057160.3131.8–187.1122.797.6–150.7
2058157.6131.4–182.7125.3103–154.1
2059167.4137.5–192.5132.2107.4–157.4
2060164.6137.2–187132.599.9–159
2061164.5130.6–189.1126.694.2–161.1
2062161.7131.2–183.5126.399.6–157.3
2063161.8136.5–190.6127.7101–159.7
2064163.5131.1–184.2130.498–151.3
2065163134.7–191.6132.4107.6–165.6
2066167.8139.2–191.9134.5106.8–159.8
2067160.8136.3–186.4125.598.9–160.5
2068165.1141.1–186.2134102.3–166.1
2069166.7138.4–187.8136.9106.4–164.2
2070168.4135.2–194.2133.199.8–166.3
2071170.3142.2–196.1135.2108.4–173.7
2072171.9147–194.7140.4110.6–166.8
2073172.1145.9–194.9140.9109.7–173.6
2074170.6140.7–197.4135.5112–170.6
2075165.6138.4–194.2136108.5–166.6
2076171.6140.9–197.1133.7105.9–163.7
2077172.4147.2–196.2140.2114.3–170.6
2078170.4140.2–194.5137.5111.3–172.3
2079174.3142.7–197.6136.9110.2–172.6
2080174.7143.3–197145115.8–173.2
2081174.4142.4–192.3147.2106.5–174.1
2082173.8147.9–195.7141.4111.4–169.9
2083174.1138.7–199.9143.6106.5–179.2
2084179.2146.4–201.4149.4117.3–176.9
2085178.2149.5–205.8154.3114.9–182.7
2086174.8151.3–197.8141.7115.3–176.1
2087170.6150.4–197.6142.7116.8–177.3
2088179.3149.6–205.4150.2118.3–178.9
2089177.7149.7–196.6148.9121.3–176.4
2090176.4152.9–200.8145.7113.7–179.4
2091179.8146.7–201.8149.7116.5–181.8
2092178.4153.6–201.4149.4119.7–181.7
2093177.9150.4–199.8152.5117.1–184.1
2094177.5155.8–203.4150.9117.3–182.2
2095184.5152–204.5155118.3–181.5
2096177.9147.3–204.9152.4113.1–189.2
2097170.9147.6–202.9144.1113.8–183.3
2098180.8152.1–207.6152.4119.2–187
2099178.6148.2–204.3152.9117.3–185
2100173.7150.3–202.7148.3120.1–184.6

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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