Mali vs. Ruanda

Mali vs. Ruanda: Dias acima de 35 °C

Dias acima de 35 °C em 2014: Mali, 205,3 dias; Ruanda, 0 dias (rodada mediana dos modelos climáticos CMIP6). Valor mais alto em 2014: Mali, com diferença de 205,3 dias.

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dias por ano · CMIP6

Mali vs. Ruanda: Dias acima de 35 °CDias acima de 35 °C em 2014: Mali, 205,3 dias; Ruanda, 0 dias (rodada mediana dos modelos climáticos CMIP6). Valor mais alto em 2014: Mali, com diferença de 205,3 dias.
MaliRuandamediana dos modelos CMIP6 (SSP2-4.5, caminho do meio)percentil 10–90 dos modelos

O que os números dizem

  • Mais alto em todos os anos com dados de ambos desde 1950: Mali.
  • Cenário para 2100, segundo a mediana dos modelos CMIP6 (SSP2-4.5, caminho do meio): Mali, 250,4 dias; Ruanda, 0 dias.

Ano a ano

dias por ano · CMIP6

AnoMaliRuanda
2014205,30
2013204,60
2012205,20
20112050
2010201,70
2009201,10
2008200,40
2007201,30
2006198,20
2005198,10
2004201,50
2003198,80
2002200,10
2001198,20
2000195,80
1999194,70
1998193,30
1997194,10
1996188,10
1995189,60
19941870
1993183,10
1992181,50
1991191,70
1990192,80
1989189,40
1988187,10
1987188,20
1986190,40
1985185,40
1984186,10
1983186,80
1982187,20
19811870
19801890
1979188,80
1978184,10
1977184,60
1976184,90
19751830
19741800
1973185,90
1972182,70
1971181,80
1970184,40
1969184,70
1968182,40
1967179,20
1966182,30
1965180,50
1964177,20
1963177,90
1962185,30
1961186,40
1960189,30
1959187,20
1958185,90
1957191,60
1956182,50
1955185,50
1954187,60
1953186,30
1952184,50
19511860
19501830
mediana dos modelos CMIP6 (SSP2-4.5, caminho do meio) · 2015–2100
AnoMaliRuanda
2015205,1181,6–226,200–0
2016202177,4–219,900–0
2017208,7184,8–23000–0
2018203,5179–226,600–0
2019207,3177,3–229,300–0
2020205,3176,9–227,900–0
2021207,3189,4–228,800–0
2022212,7186,6–234,900–0
2023208,3186,1–232,400–0
2024216,7191,8–240,500–0
2025212,9190,9–233,900–0
2026214175,7–23600–0
2027214,4187,3–235,900–0
2028217,9191,7–234,600–0
2029214193–233,500–0
2030215,1189,6–236,700–0
2031217,8194,8–239,200–0
2032215,6188,8–241,200–0
2033217,3191,2–240,500–0
2034215,5193,5–24100–0
2035220,3192,4–241,100–0
2036217,1193,6–243,400–0
2037224,3198,3–242,700–0
2038222,3194,3–25100–0
2039219,2196,6–247,400–0
2040223,3201–245,100–0
2041225,1204,4–245,500–0
2042226199,1–248,700–0
2043223,1202,4–244,400–0
2044226,3197,8–250,400–0
2045226,9202,5–248,200–0
2046228,6199,3–250,600–0
2047232,2203,4–255,400–0
2048232,1208,4–251,300–0
2049228,3206,3–249,900–0
2050227,9204,5–253,300–0
2051225,8205–252,800–0
2052233,4204,7–262,200–0
2053228,5204,3–257,400–0
2054231,7207,6–260,800–0
2055235,2209,3–258,200–0
2056236,4209–259,900–0
2057238,9212,9–266,100–0
2058232,2209,6–263,700–0
2059238,6213–263,100–0
2060235,3213,6–260,900–0
2061239,6210,7–268,200–0
2062236,3210,8–264,600–0
2063238,3214,5–260,100–0
2064239215,2–265,300–0
2065239,8216,5–26000–0
2066240,4219,8–269,800–0
2067234,5212,7–260,900–0
2068239,3213,8–265,900–0
2069241213–262,100–0
2070241,2213,9–266,100–0
2071239,6216,8–268,400–0
2072244,7222,5–271,900–0
2073243,1216,4–269,200–0
2074243,3216,9–272,600–0
2075244,5217,8–27000–0
2076245219,7–267,600–0
2077249,7217,4–277,900–0
2078247,1219,3–274,300–0
2079245218,1–272,200–0
2080247,1219,9–274,300–0
2081244,6216,8–276,500–0
2082244,9220,3–27600–0
2083249,3222,7–275,600–0
2084244,5220,6–274,100–0
2085252,2220,4–277,500–0
2086247221,5–277,600–0
2087243212,5–274,400–0
2088245,7222,2–279,500–0
2089245,4217,4–278,800–0
2090249,8217,9–273,100–0
2091249,3224,1–276,600–0
2092250,8219,8–275,200–0
2093249,4221,9–280,700–0
2094252,8226,8–277,600–0
2095251,7220,9–277,700–0,1
2096251,6226,6–279,200–0
2097246,5221,7–27500–0
2098252,7226–275,100–0
2099253,6226,7–282,100–0
2100250,4223,5–278,700–0

Cada país separadamente

Bom saber

  • Dias no ano em que a máxima passa de 35 °C, em média no país.
  • Fonte: World Bank Climate Change Knowledge Portal, CMIP6 multi-model median.
  • Linha tracejada: mediana dos modelos CMIP6 (SSP2-4.5, caminho do meio), um cenário e não uma previsão; a faixa mostra o percentil 10–90 dos modelos.
  • Os valores de modelos climáticos são a mediana dos modelos CMIP6, rodados com as emissões passadas até 2014 e, depois, com o SSP2-4.5, uma trajetória intermediária: não são medições.

Como as camadas funcionam, de onde vêm os dados e o que elas não conseguem dizer: Os países ao longo do tempo

Mali vs. Ruanda

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