Brazil vs Peru: Tropical nights

Tropical nights in 2014: 282 nights in Brazil and 164.5 nights in Peru, in the CMIP6 climate models’ median run. In 2014 the value was higher in Brazil, by 117.5 nights, or 1.71 times that in Peru.

Watch it change on the map

nights a year · CMIP6

BrazilPeruCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

Brazil has been higher in every year both have figures for since 1950.
The CMIP6 model median (SSP2-4.5, middle of the road) puts Brazil at 317.3 nights and Peru at 192.3 nights in 2100.

Every year

nights a year · CMIP6

Year	Brazil	Peru
2014	282	164.5
2013	282.5	163.1
2012	283.6	164.8
2011	281.8	164.3
2010	280.2	163.3
2009	279.2	162.3
2008	277.8	162
2007	275.9	159.8
2006	275.4	159.1
2005	275.8	159.3
2004	278.5	161.8
2003	276.7	160.5
2002	276.2	159.9
2001	277.7	160.7
2000	273.3	158
1999	271	155.7
1998	273.6	157.4
1997	270.9	156.1
1996	264.7	152.2
1995	263.8	152.1
1994	263.6	150.8
1993	258.3	148.5
1992	252.8	144
1991	269.7	156
1990	272.5	158.3
1989	267.1	153.2
1988	264.7	151.2
1987	265.9	152
1986	265.7	153.4
1985	260.6	149
1984	261.1	148.3
1983	255.9	145.4
1982	264.8	151.4
1981	265.3	153.1
1980	262	150.9
1979	261.2	150.5
1978	259.7	149.1
1977	261.8	150.3
1976	258.4	147.5
1975	252.4	142.1
1974	258.7	148.6
1973	261	151.5
1972	258.1	147.6
1971	256.5	145.7
1970	254.5	145.6
1969	255.1	147
1968	254.9	146
1967	250.3	142.3
1966	254.5	145.7
1965	250.8	143.3
1964	246.2	141.6
1963	241.9	135.9
1962	257.9	148.9
1961	258.2	146.5
1960	260.3	149.8
1959	255.7	146.1
1958	258.1	149.1
1957	256.6	148.7
1956	251.2	144
1955	257.2	148.3
1954	258	148.7
1953	255.2	148.2
1952	255.8	148.1
1951	256.3	147.2
1950	254.4	147.8

CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100

Year	Brazil	Peru
2015	284257.6–299.5	164.3148.5–174.9
2016	281.5261.4–296.3	163.4149.8–171.5
2017	284.1263.2–297.8	165.5155–175.2
2018	283.4263.1–298.8	165152.9–176.6
2019	283.7262.9–302.4	163.7151–176.8
2020	286.3264.2–303.6	165.3151.6–176.2
2021	287.9266.9–302.3	167.6154.7–177.3
2022	289.6270.7–303.9	169.5156.6–179.2
2023	287.3270.5–303	167.1156.3–178.4
2024	291.5268.2–304.6	170.6157.3–180.2
2025	289.6269.1–304.8	168.6155–179.9
2026	289.7266.2–305.1	167.8153.3–179.7
2027	289.5269.1–303.7	168.3155.2–178.8
2028	291.2271.9–306	169.8158.3–179.9
2029	295.5276.3–309.6	174162.8–181.7
2030	292.2269.1–306.9	168.1153.2–180.6
2031	295.3274–308.9	172.5156.2–183.7
2032	296.8280.1–310.9	173.2162.7–184.7
2033	295.4273.3–308.5	172156.5–181
2034	294.3273.5–311.8	171.6158.7–185.6
2035	295.2274.4–310.9	172159.3–184.1
2036	295.1278.2–307.8	172.5160.7–183.2
2037	299.9283.7–311.3	175.6166.3–185.3
2038	299.6283.5–312.1	175.8164.6–184.9
2039	296.9279.9–311	174.1162.7–185
2040	298.5279.4–311.9	175.4163.9–187
2041	301.4282.2–314.1	176.5165.3–186.1
2042	300.6277.8–314.7	176.3161.9–189.7
2043	298.2279.8–312.7	174.8163.7–185.3
2044	300.3281.2–315.6	175.3161.9–188.2
2045	299.9279.7–313.1	177.3165.5–186.9
2046	302.8285.8–316.6	180.3167.4–189.9
2047	303.3285–316.4	178.6167.5–189
2048	304.4287.3–317.3	181.2168.2–192.2
2049	305.4288.4–318.5	180.4168.1–189.8
2050	303.9283.9–316.2	178.6166.4–190.8
2051	305.7287.5–317.5	180.3168.5–190.6
2052	305.9290.6–318.8	181.5170.8–191.7
2053	305.3285.9–317.5	179.5168.3–190.8
2054	306.1288.4–319.3	180.1167.3–193.9
2055	306.4290.8–319.8	181.7171–194.8
2056	306.7288.3–321.1	182.2170–193
2057	306.4287.6–321.1	181.6168.7–193
2058	309291–321.4	183.1169.4–195.5
2059	310.4290.7–322.8	184.6169.7–195.3
2060	311.6294.4–325.1	185.6171.1–197.1
2061	307.5290.3–321.2	182.7169.9–195.8
2062	309291.5–322.8	184.3168.7–196.9
2063	310.8290.6–322.8	184.6170.8–196.9
2064	309.6290.2–321.1	184.4170.1–194.8
2065	311.1291.6–323.1	186.3173.3–196.9
2066	312.2294.2–324.2	185.6172.3–197.4
2067	310.9291.5–323.3	184.3169.4–198.2
2068	311.5293–324.5	186.1172.1–198.3
2069	310.6292.2–323.6	184.9169–198.3
2070	312.7293–325.3	185.4171.8–198.4
2071	311.5292.1–323.9	187.3173.3–198.7
2072	313.3297.8–325.5	188.1174.9–199.8
2073	313.8298.6–327.2	187.6175.9–202.1
2074	311.4292.4–323.5	186.4169.5–198.9
2075	310.9291.5–324.5	186.4170.6–198.3
2076	314.2294.4–327.7	188.8174.2–201
2077	315.1295.6–326.8	189.1174.7–201.8
2078	314.9296.3–327.1	188.4175.6–202.3
2079	313292.8–326.8	188172–199.7
2080	311.9294.7–325.4	189.1172.8–201.7
2081	313.5295.5–325.6	188.4173.6–201.8
2082	315296.8–327.1	188.8174.8–199.7
2083	315.7295.3–328.7	189.9175.7–204.7
2084	316.6298.5–327.9	190.7176.3–204.4
2085	317.4299.3–329.8	192176.2–204.6
2086	315.8294–328	189.1175.4–204
2087	316.5297.9–328.5	189.1175.9–203.6
2088	315.6297.3–328.8	191.1174.7–204.9
2089	315296.6–327.9	190.1174.3–203
2090	316298.9–330.3	190.4177–206.2
2091	317298.1–330.6	192.6174.4–205.9
2092	317.6298.7–330.7	192.6176.6–204.7
2093	316.3297.5–328.6	190.6176–206
2094	316.4300.2–327.5	192.3178.2–204.1
2095	319299.8–330.7	193.4176.5–207.3
2096	317.7299.5–330.8	191.4176.2–207.6
2097	316.9297.8–329	190.7174.9–202.2
2098	318.6299.9–331.9	192.9177.8–208.9
2099	318.1300–330.2	191.5176.8–205
2100	317.3298.4–330.3	192.3176.6–205.6

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

Brazil vs Peru: Tropical nights

What the numbers say

Every year

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