马达加斯加与乌干达对比

马达加斯加与乌干达:热带夜

2014 年热带夜:马达加斯加为 138.3 夜,乌干达为 124.7 夜(CMIP6 气候模型中位数模拟)。 2014 年马达加斯加的数值较高,高出 13.6 夜,是乌干达的 1.11 倍。

每年夜数 · CMIP6

马达加斯加与乌干达:热带夜2014 年热带夜:马达加斯加为 138.3 夜,乌干达为 124.7 夜(CMIP6 气候模型中位数模拟)。 2014 年马达加斯加的数值较高,高出 13.6 夜,是乌干达的 1.11 倍。
马达加斯加乌干达CMIP6 模型中位数(SSP2-4.5,中间路径)模型第 10–90 百分位

数据解读

  • 自 1950 年以来,在两国都有数据的每一年,马达加斯加的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年马达加斯加为 198.5 夜,乌干达为 245.3 夜。

逐年数据

每年夜数 · CMIP6

年份马达加斯加乌干达
2014138.3124.7
2013138124
2012138.3122.2
2011136.8125.7
2010134.2122.5
2009133.5114.8
2008132.3114.1
2007133.1111.2
2006131.6117.4
2005130.3113.8
2004133.5114.6
2003131114.4
2002131.8114.4
2001131.7117.1
2000127.4109
1999128.4105.5
1998128.6105
1997125.3106.1
1996121.8102.1
1995123.399.9
1994121.894.6
199311690.8
1992116.689.9
1991124.9102.1
1990126.2103.8
198912499.1
1988123.898.6
1987122.898.3
1986123.899.2
198512092.1
1984118.694.6
1983116.590.4
1982121.894.4
1981122.198.5
1980120.396.3
1979120.793.9
1978119.391
197711995.1
1976117.492
1975116.589.6
1974119.591.8
197311992.8
197211790
1971116.387.1
197011788.8
1969116.388
1968113.187.3
196711382.3
1966114.182.5
1965112.282.2
1964109.678.2
1963109.780.3
1962115.388.5
1961118.590.7
1960118.293.2
195911991.3
1958118.788.7
1957117.690.1
1956115.588.8
1955116.689
1954115.989.5
1953116.489
1952117.489.6
195111691.1
1950116.387.7
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份马达加斯加乌干达
2015142.8126.7–159.3131.598.6–164.1
2016137.8122.2–15612398.5–154.1
2017143.1125.6–159.4133.7108.6–162.7
2018143.7125.9–160.3134.2102.5–164
2019143.4124.4–162.3131.3104.8–166.2
2020143.4125.2–159140.7102.6–171.5
2021145.4128.8–160.4137.9112.9–175.4
2022150.4133.4–165.2140116.2–169.9
2023149.7132.1–166140.4114.2–184.8
2024150.7131.4–167.9151.1113.5–186.7
2025149128.8–169.1143108.5–176.4
2026150.1127.4–169.9144.6109.7–179.6
2027151.8131.9–170.8147.6116–175.4
2028154.9137.7–173.1151.6120.2–179.6
2029155.7135.2–173.8155.2127.3–178.6
2030154.8136.4–171.3150.4117.6–185.1
2031158.1141.3–174.8161.6132–187.2
2032157.9136.2–178.4159.1134.2–190.5
2033158.9136.7–177.8158.9123.4–200.6
2034158.6140.6–179.6161.5135.6–202.5
2035161.1140.2–181.6164.9126.3–193
2036159.5139.4–177.1158.5127.7–195.4
2037165.8144.7–182.8168.3138.2–207.3
2038166.5149.3–183.9173.8139.7–206.2
2039164.1145.1–183.9171.2130.1–205
2040162.8144.5–184.8170.4134.1–207.4
2041165.8143.5–183.9176.3144.6–208
2042165.1144.3–188.4175137.8–214.3
2043165.6148.5–184.7173.6132.8–207.6
2044167.3145.8–187176.1136.8–206.9
2045166.9147.1–187.1178.9138.3–217.7
2046171.4149.6–193191.9136.6–235
2047171.7148.8–193.4187.7156.6–225.3
2048173.7151.7–193.6189.3151.5–227.4
2049172.2151.4–192.9195.1154.9–233.6
2050174.4150.5–193.6191150.7–236.4
2051175154.3–195.1191.2154.4–228.2
2052176153.8–196.7192.6157.7–231.7
2053176.6151.1–197.8194.5149.7–233.5
2054175.5152.8–199.2199156.3–236.8
2055179.2157.3–196.8201.3151.7–240.7
2056178.8156.5–199.7198.9156.9–240.2
2057177.7155.5–201200165.5–244.7
2058180.5158.9–202.4208.8156.5–248.3
2059181.8158.3–202.5212.7171.1–254
2060185.1159.5–207.8212.6160.3–253.1
2061180.6157.6–203.8208.9162.4–258.1
2062180.6157.1–205.6206.4159.1–267.6
2063185156.8–210.7209.3168.5–246.3
2064184.7159.1–205.7210.6166.2–253.8
2065183.8157.1–208.5214.5167.8–261.1
2066187.3159.6–211211.9171.8–256.1
2067184.9155.9–208.9208.4168.3–269.8
2068187.5161.7–211.1216.4169.7–268.7
2069187.5162–211.3213170.3–268.1
2070187.8160.4–213.6216.4176.4–270.9
2071190.7162.7–216.6215.5174.6–273.5
2072191.8168.2–215.8227.3184.1–272.3
2073191.4168.7–214.5230.4189.3–278.5
2074189.4162.6–217.7220.7176.9–277
2075189.3163.8–214.2217.7167–274.2
2076191.1164.3–214228.1178.9–279
2077191.9168.8–217.1229.5189.6–280.5
2078190.1166.5–219.3225.6187.8–276.4
2079190.1163.7–216.2231.9168.8–277.7
2080194.8167.7–219.4232.8182.6–283.1
2081191.7166.7–218.1227.9187.6–279.3
2082193.8169.2–216.7233.1185.6–279.4
2083194.6166.1–218.1232.2175.7–297
2084197.9170–219.7237.2185.5–288.8
2085197.8172.3–223.7239.5192.4–291.7
2086192.9169.6–220236.2189.8–289.4
2087195.2170.4–220.1239.4188.9–294
2088198.1165.1–225.5236.8193.6–288.9
2089196.3167.9–227.6238.8193.8–293.7
2090197.5172.4–228.1237.7190.1–301.5
2091199.2172.7–226.7251188.7–300.1
2092202.4170.7–226.6243.4194.9–297.8
2093202.1172.3–230.5244.4199.2–296.8
2094198.3168.6–224245.6202.9–299.8
2095200.7171.7–225.1253.2202.4–306.1
2096199.8173.6–226.3241.4196.5–304
2097201.2170–227.6243.1194–296.6
2098201.1170.7–227.2242.9199–302.3
2099198.3173.8–225.8247.3194.4–306.1
2100198.5173.3–227.7245.3195.5–307.2

分别查看各国

须知

  • 一年中气温始终高于 20 °C 的夜晚数,取全国平均。
  • 来源:World Bank Climate Change Knowledge Portal, CMIP6 multi-model median。
  • 虚线为CMIP6 模型中位数(SSP2-4.5,中间路径),是一种情景而非预报;阴影带为其模型第 10–90 百分位。
  • 气候模型值为 CMIP6 各模型的中位数:2014 年及以前按历史排放模拟,此后按中间路径 SSP2-4.5 模拟;它们并非实测数据。

各图层如何运作、数据从何而来,以及它们无法告诉你什么: 历年各国数据

马达加斯加与乌干达对比

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