Chad vs Niger

Chad vs Niger: Days above 35 °C

Days above 35 °C in 2014: 187.2 days in Chad and 209.1 days in Niger, in the CMIP6 climate models’ median run. In 2014 the value was higher in Niger, by 21.9 days, or 1.12 times that in Chad.

days a year · CMIP6

Chad vs Niger: Days above 35 °CDays above 35 °C in 2014: 187.2 days in Chad and 209.1 days in Niger, in the CMIP6 climate models’ median run. In 2014 the value was higher in Niger, by 21.9 days, or 1.12 times that in Chad.
ChadNigerCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Niger has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Chad at 230.3 days and Niger at 242.2 days in 2100.

Every year

days a year · CMIP6

YearChadNiger
2014187.2209.1
2013182.2205.4
2012184.1206
2011184207.1
2010182.3205.9
2009177.1204.2
2008176.6204.4
2007174.9201.3
2006175.3198.7
2005173.8200.6
2004175.5199.3
2003176.1201.3
2002176.1202.4
2001180.1201.1
2000173.3197.9
1999170.7196.9
1998166.8192.7
1997171.5197.8
1996167.3194.5
1995167.2193.7
1994165.3193.1
1993158.9186.1
1992158.4187.1
1991168.1195.9
1990168.7192.7
1989166.9192.9
1988167.6190.4
1987164.3190.2
1986170.5196.3
1985162189.1
1984161.3189.6
1983161.2189.7
1982159.2187.5
1981164.3190.9
1980164.6191.8
1979163189.1
1978160.3186.3
1977161.4190.8
1976159.8189.5
1975156.9185
1974157.6184.8
1973164.8192.4
1972161.4189.8
1971158.7186.7
1970160.4188.9
1969156.8184.3
1968157.6188.6
1967155183.6
1966156.9185.4
1965157.4185.7
1964152.2181.4
1963150.1179.4
1962161.8189
1961160.4186.5
1960166.3194.1
1959159.9190.2
1958160.9186.8
1957163.1194
1956159.3188.3
1955159.6188.8
1954159.8189
1953161.1188.3
1952161.7188.4
1951163.6190.5
1950160.6189.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearChadNiger
2015184.1153.9–205.2205.1180.6–228.1
2016179.9150.6–201.9204.2180.2–222.1
2017185.5156.4–210.2210.9185.3–233.6
2018180.7153.2–206206183.2–227.4
2019182.2153.5–208.9206.7178.9–231.2
2020183.2154.8–206.8207.9183.1–226.7
2021187.2156.5–209.5209189.8–228
2022187161.9–212.6213190.1–231
2023185160.4–208.6207186.6–229.1
2024192.4172.2–213.8216.5197.3–234.6
2025191166–212.1214.6195.3–232
2026186.6152.4–214.2210.3178.5–235.6
2027190.6157.6–213.3216.5188.8–235.6
2028191.7161–214.4217188.5–233.4
2029193.6167.4–215.7218.1194.8–237.8
2030194.7165.8–217.9217.1191.5–237
2031193163.2–220.9215195.1–239.7
2032192.4167.3–215213.2192.1–232
2033195.6171.3–219.5217.2196.1–237
2034194.6166.8–223.6216.7191–240
2035196.8163.3–221.4219.7195.8–235.8
2036193.9166.6–216.5216.2196–236.1
2037199.7172.7–223.3222.3199.9–240.2
2038201177.2–225.1219.5198.9–243.8
2039199171.5–222.5218.3195.6–242.5
2040199.4169.8–223.2218.7200.4–240.1
2041202.3173.3–227222.2200.4–245
2042201.3171.5–225.6222201.7–244.6
2043199.1171.1–222.4220.5198.6–236.4
2044199.3169.7–223.7218.2198.9–241.6
2045202.6173.4–228.4222202–242
2046209.1172.1–231.9225.1198–243
2047207175.1–230229.1204.3–245.7
2048207.1179.1–231.8225.8200.7–247.3
2049205173.7–229.2222.4197.3–242.8
2050205.3174.8–233.6224.7203.3–246.8
2051205179.7–232.7224.6203.8–242.1
2052211.7176.4–236.1229.7204.6–252.7
2053208.7176.2–233.5225.2204.6–248.6
2054213.8172.2–235.8229199.7–252.3
2055213.9185–235.6230.7210.5–249.6
2056210.7180.5–239229.8199.3–254.5
2057216.3186.1–240.6231.1205.6–251.8
2058212.4181–235.3226.7203.5–249.9
2059215.2186.5–243.1233.3210.7–256
2060214.9186.3–241.6230.9206.7–251.3
2061214.7181.7–243.2232.3207.4–256.9
2062215.8183–242.9233211.8–254.7
2063214.7186.4–237.8228.8206.1–248.5
2064216.1186.2–244232.3207.9–252.9
2065217.7194.5–241.9233.4211.8–253.6
2066219.7190–249.3236.5212.7–261.5
2067214.9189.9–245.2229.1206.5–253.3
2068218.4188.5–246.9233.9210.6–259.9
2069216.1184.3–245.3233.2210.6–253.7
2070221.4186.3–246.2235.8209.1–254.8
2071225.7190.5–249237.9218.7–258.9
2072222.8195.7–248.5237.9218–259.8
2073221.5191.4–249.1235.1210–259.4
2074219.2185.9–251.3235.2212.8–261.3
2075224.3187.8–249.4239.3212.9–259.7
2076222.7194.1–252.8238.9215.3–262.6
2077227.5195.3–253.9242218.1–264
2078225.1197.2–250.4241.4216.1–262.3
2079222.7192.5–248.8235.6213.1–259.6
2080224.8190.9–252.8238.2215.8–263.6
2081225.4195.3–255240.1217.1–267.5
2082223.1195.2–256.1238215.5–261.3
2083227.9197.3–253.7242.5216.2–264
2084224.1193.8–252.4239.2214.3–261.4
2085227.6199.6–253.1241.7216.6–264.8
2086226.6195.1–261.8240.9220–270.6
2087223.9190.2–252.3236.9208.4–262.9
2088220.7193.8–260.3236.9216.5–271.3
2089225.9191.8–254.4242.4215.5–267.5
2090230.1192.8–254.7242.1213.6–262.2
2091228.4195.4–254.3241.3218.9–266.5
2092231.3198.8–255.9245217.6–266.3
2093228.4200.3–254.7242.2219.3–262.9
2094231.3201.1–255.7245.1220.3–263.4
2095232.7197.9–258.5244.1218.8–266.6
2096228.1200.4–255.1241.9225.1–264.5
2097226.8198.5–255.6241.4218–265.6
2098227.7194.7–253.8240.8215.3–263.5
2099232.1203.4–258.1247.1221.7–265.4
2100230.3201.6–261.3242.2221.3–266.4

Each country on its own

Good to know

  • Days in a year whose highest temperature passes 35 °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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