埃塞俄比亚与马里对比

埃塞俄比亚与马里:热带夜

2014 年热带夜:埃塞俄比亚为 144.9 夜,马里为 250.2 夜(CMIP6 气候模型中位数模拟)。 2014 年马里的数值较高,高出 105.3 夜,是埃塞俄比亚的 1.73 倍。

每年夜数 · CMIP6

埃塞俄比亚与马里:热带夜2014 年热带夜:埃塞俄比亚为 144.9 夜,马里为 250.2 夜(CMIP6 气候模型中位数模拟)。 2014 年马里的数值较高,高出 105.3 夜,是埃塞俄比亚的 1.73 倍。
埃塞俄比亚马里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,马里的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年埃塞俄比亚为 201.7 夜,马里为 283.6 夜。

逐年数据

每年夜数 · CMIP6

年份埃塞俄比亚马里
2014144.9250.2
2013145.1247.3
2012144.4253.1
2011145.6251.9
2010142.4250.4
2009140.3248
2008137.1247.8
2007138.2248.1
2006138.7245.5
2005138.1244.3
2004139.1243.9
2003138.8247.1
2002137.4245.8
2001139.2245.6
2000135.5243.2
1999132.6242.4
1998132.9240.6
1997132.7240.7
1996129.7236.4
1995127.8238
1994126.3236.2
1993122.5235.1
1992119.7232
1991129.5238.7
1990132.7241
1989129.4236.3
1988128.2234.7
1987126.4236.1
1986128.1237.1
1985122.8235.3
1984124.8233
1983120.6231.2
1982126.3234.9
1981127233.9
1980124.9231.5
1979125.1233.8
1978124.7234.8
1977125.8233.6
1976122231.7
1975119.5232.4
1974124229.7
1973125.2230.3
1972122.3230.7
1971120.6229.5
1970121.3229.9
1969120.4227.3
1968119.1230.5
1967118.1229
1966119.5228.1
1965117.4230.2
1964116.6228.9
1963115.7228.2
1962121.6231.7
1961124.2231.6
1960124.5235.1
1959121.6231.8
1958124.1231.8
1957123.2233.3
1956120.9230.7
1955122.8230.6
1954121.6232
1953121.2228.3
1952122.8229.2
1951123231.4
1950122228.6
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份埃塞俄比亚马里
2015146.6129.4–163.9247.9231.5–264.7
2016144.1127–160.6248231.3–262.6
2017148.3129.2–164.9252.7233.6–268.2
2018149.6131.6–166254.2236.4–269
2019146.2129.3–166251.6233.5–272.3
2020149.4129.6–168.5251.3231.2–270.7
2021150.7132.1–170254.8238.5–270
2022154135.7–171.2257237.8–275.3
2023153.5135.4–171.4254.2239.6–269.2
2024156.5135.9–175.6259.3242.3–276.8
2025154132.6–175.5256.2239.2–272.3
2026153132–175256.8237.2–277.8
2027154.2134.4–175.3258.5240.3–273.1
2028157.5138.3–177.4259.7243.6–273.9
2029159.2141.8–176.8260.8240.3–275.3
2030156.8136.3–175.7258.1237.5–272.6
2031161.4142.4–179.1262.2243.4–280.6
2032161.7143.1–182.5260.5242.1–278.2
2033161.8140–180.9262.1241.7–280.3
2034158.8141.5–184.3260.7242–275.3
2035162141.7–184.2261.5244.8–283.6
2036160.5143.6–179.4262.5244.6–281.1
2037165145.8–184.5264.5245.2–279.6
2038167.1146.5–186.7266246.7–283.2
2039164.5143.9–186262.3245–281.6
2040165.9146.2–190.1263.6247.5–279.6
2041167.9146.3–189.3264.6250.8–283.1
2042167.7146–194.3265.7245.9–283.5
2043167.3145.5–190.8264.8246.9–278.8
2044168.2148.2–189.9269.3247.4–284.7
2045170.7149.1–192.3265.6248.9–283.7
2046175.3150–198.6269.8247.5–286.4
2047176.9151.8–197.5271.9251.2–290.3
2048177.5155.4–199.1270.4254.4–288.2
2049177.5157.9–198.4272252.1–288.2
2050176.4153.8–199269.5250.6–286.4
2051176.6155.3–199.7268.8251.7–286.9
2052177155.6–200.7270.1252.7–292.1
2053176.7154.2–201.6269.3249.2–288.8
2054177.6156.9–201.1270.3251.7–290.6
2055180.6155.2–202.3270.9252.7–288.1
2056177.3155–205.4273248.6–291.4
2057180.3159.3–205.5275.5255.2–295
2058182.6153.7–209.4271252.7–293.2
2059185.7160.1–210.6274.5259.3–299.6
2060185.9160.3–210.4273.5258–293.7
2061183.3158.3–211.7275.4257–298
2062183.8155.4–213270.8251.7–291.8
2063184.5159.1–208.6275.9256.6–292.2
2064186.7160.6–207.2276.4256.6–298.4
2065183.7162.4–212.9275.3256–295.1
2066187.1165.4–210.1276.9260–296.5
2067187.1160.7–214.5272.6255.4–293.3
2068187.6160.4–215.8277.5258.1–296.5
2069187.8165.4–215.8276.1257.7–293.3
2070187.9161.6–216.9277.2256.6–296.6
2071192.7165.2–219.5277.2258.4–295.6
2072193.6167.4–214.5281.9263.8–298.9
2073193.3169.7–218.7276.8257.9–296.8
2074188.5163.9–219277.7258.7–295.9
2075191.9162.7–218.6278.5260.1–298.5
2076195166.9–218.9278.1261.1–294.2
2077194.1169.3–223.3283.8263.1–302.3
2078192.1168.4–218.6283.8263.5–299.4
2079193.4166.6–220.9278.9259.2–300.6
2080196.1169.2–222.4281.2262.1–299.4
2081194.6171–221.4279.1259.3–301.8
2082195.4168.8–219.9280.2260.2–298.4
2083194.6168.2–228.7280.8260.8–302.3
2084198.5170.7–224.2280.4263.8–301
2085198.4173.1–226.3284.6259.2–303
2086198.6172.3–228.4281.9262.8–302.4
2087199170.6–226.6279.7258.8–302.8
2088199170.7–227.7282.3260.7–303.3
2089198.6171.2–226.2283.4262.4–300.5
2090198.6173.4–227.7283.9259.8–301.9
2091203.6171.9–232.1283.1260.4–304.8
2092200.7172.5–229.7281.6259.7–303.1
2093201.4175.2–228.6284.8265.8–305.4
2094200.2174–228.9284.6262.8–305.6
2095203.9175.7–231.9283.6262–304.6
2096199.1170.5–230.8284.9263.3–306.3
2097198.4171.8–229.3280261–300.5
2098198.7172.1–231.5282.5262–302.1
2099201.8172.8–233.3285.3266.2–305.4
2100201.7175.1–231.8283.6262.8–304.1

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

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