Mali vs. Ruanda

Mali vs. Ruanda: Tage über 35 °C

Tage über 35 °C 2014: Mali 205,3 Tage, Ruanda 0 Tage; Median der CMIP6-Klimamodelle. Höherer Wert 2014: Mali, um 205,3 Tage.

Auf der Karte im Zeitverlauf ansehen

Tage pro Jahr · CMIP6

Mali vs. Ruanda: Tage über 35 °CTage über 35 °C 2014: Mali 205,3 Tage, Ruanda 0 Tage; Median der CMIP6-Klimamodelle. Höherer Wert 2014: Mali, um 205,3 Tage.
MaliRuandaCMIP6-Modellmedian (SSP2-4.5, mittlerer Weg)10.–90. Perzentil der Modelle

Was die Zahlen sagen

  • Seit 1950 in jedem Jahr mit Daten für beide höher: Mali.
  • Mali: 250,4 Tage, Ruanda: 0 Tage im Jahr 2100 laut CMIP6-Modellmedian (SSP2-4.5, mittlerer Weg).

Jahr für Jahr

Tage pro Jahr · CMIP6

JahrMaliRuanda
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
CMIP6-Modellmedian (SSP2-4.5, mittlerer Weg) · 2015–2100
JahrMaliRuanda
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

Jedes Land für sich

Gut zu wissen

  • Tage im Jahr, deren Höchsttemperatur 35 °C übersteigt, gemittelt über das Land.
  • Quelle: World Bank Climate Change Knowledge Portal, CMIP6 multi-model median.
  • Gestrichelte Linie: CMIP6-Modellmedian (SSP2-4.5, mittlerer Weg), ein Szenario und keine Vorhersage; Band: 10.–90. Perzentil der Modelle.
  • Klimamodellwerte sind der Median der CMIP6-Modelle, bis 2014 mit den tatsächlichen Emissionen gerechnet, danach mit SSP2-4.5, einem mittleren Pfad: Es sind keine Messwerte.

Wie die Ebenen funktionieren, woher ihre Daten stammen und was sie nicht verraten: Länder im Zeitverlauf

Mali vs. Ruanda

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