南苏丹与乌干达对比

南苏丹与乌干达：热带夜

2014 年热带夜：南苏丹为 343.7 夜，乌干达为 124.7 夜（CMIP6 气候模型中位数模拟）。 2014 年南苏丹的数值较高，高出 219 夜，是乌干达的 2.76 倍。

南苏丹乌干达
在地图上查看其变化

每年夜数 · CMIP6

全部年份自 1990 年以来自 2010 年以来
数值变化
线性对数
预测
南苏丹与乌干达：热带夜2014 年热带夜：南苏丹为 343.7 夜，乌干达为 124.7 夜（CMIP6 气候模型中位数模拟）。 2014 年南苏丹的数值较高，高出 219 夜，是乌干达的 2.76 倍。
南苏丹乌干达CMIP6 模型中位数（SSP2-4.5，中间路径）模型第 10–90 百分位

最新数据

每年夜数 · CMIP6

国家最新10 年前预测值
南苏丹343.7 2014336.6361.1 2100
乌干达124.7 2014114.6245.3 2100

数据解读

  • 自 1950 年以来，在两国都有数据的每一年，南苏丹的数值都更高。
  • 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年南苏丹为 361.1 夜，乌干达为 245.3 夜。

逐年数据

每年夜数 · CMIP6

年份南苏丹乌干达
2014343.7124.7
2013342.1124
2012342.8122.2
2011343.3125.7
2010341.9122.5
2009338.8114.8
2008339.8114.1
2007336.9111.2
2006339117.4
2005336.8113.8
2004336.6114.6
2003338.9114.4
2002336.6114.4
2001338.7117.1
2000334.6109
1999331.8105.5
1998333.6105
1997334.5106.1
1996330.7102.1
1995329.699.9
1994328.294.6
1993321.990.8
1992321.589.9
1991329.1102.1
1990332.6103.8
198932999.1
1988330.598.6
1987328.898.3
1986330.499.2
1985327.192.1
1984324.194.6
1983322.890.4
1982322.894.4
1981329.998.5
1980326.596.3
1979325.393.9
1978324.191
197732595.1
1976322.692
1975320.889.6
1974320.191.8
1973325.492.8
1972324.790
1971319.987.1
1970322.388.8
1969318.588
1968318.387.3
1967315.682.3
1966317.282.5
1965316.582.2
1964312.978.2
1963309.880.3
1962323.988.5
1961323.390.7
1960324.893.2
1959321.591.3
1958320.288.7
1957322.190.1
1956319.588.8
195531789
1954322.489.5
1953321.689
1952322.489.6
1951323.991.1
1950318.687.7
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份南苏丹乌干达
2015342.7327.5–353.3131.598.6–164.1
2016342.1325.1–351.112398.5–154.1
2017344.5326.9–353.7133.7108.6–162.7
2018344.1324.9–353.7134.2102.5–164
2019344.5324–354.2131.3104.8–166.2
2020344.9326.9–355.6140.7102.6–171.5
2021347.3329.2–355.3137.9112.9–175.4
2022344.5326.1–355.5140116.2–169.9
2023347.2329.2–357140.4114.2–184.8
2024350.4331.6–357.9151.1113.5–186.7
2025347.1330.2–357.7143108.5–176.4
2026347.6329.5–356.7144.6109.7–179.6
2027346327.1–356.1147.6116–175.4
2028349.4333.5–357.3151.6120.2–179.6
2029348.6337.5–355.6155.2127.3–178.6
2030349.3335.5–357.2150.4117.6–185.1
2031351.3336.3–357.6161.6132–187.2
2032348.6333.6–357.7159.1134.2–190.5
2033350.8336.7–359.4158.9123.4–200.6
2034350.2337.5–358.3161.5135.6–202.5
2035352.3331–359.5164.9126.3–193
2036352340.8–359.1158.5127.7–195.4
2037351.9337.4–359.5168.3138.2–207.3
2038354.3341.9–359.6173.8139.7–206.2
2039353.8340.6–360171.2130.1–205
2040353.5338.7–360.2170.4134.1–207.4
2041353.2336.9–360.2176.3144.6–208
2042351.9336.9–360.3175137.8–214.3
2043353.2336.2–359.5173.6132.8–207.6
2044353.7339.9–361.1176.1136.8–206.9
2045353.7342.2–360.6178.9138.3–217.7
2046355.4342.2–361191.9136.6–235
2047355.7344–361.2187.7156.6–225.3
2048354.7342.5–361.6189.3151.5–227.4
2049356.7346.4–361.1195.1154.9–233.6
2050356.8345.6–361.7191150.7–236.4
2051356345.4–361.8191.2154.4–228.2
2052355.3343.8–362.2192.6157.7–231.7
2053355.5343.4–361.7194.5149.7–233.5
2054356.9345.2–362.1199156.3–236.8
2055356.9345–361.7201.3151.7–240.7
2056356.7345.7–363.1198.9156.9–240.2
2057358.4349.2–362.6200165.5–244.7
2058357.7345–361.8208.8156.5–248.3
2059358.6348.4–362.6212.7171.1–254
2060357.7344.7–363.8212.6160.3–253.1
2061358.2345.8–362.7208.9162.4–258.1
2062357.4345.2–363.1206.4159.1–267.6
2063358.8347.3–362.6209.3168.5–246.3
2064358.9348.4–363.3210.6166.2–253.8
2065359.1351.1–362.9214.5167.8–261.1
2066359.2350.6–363.1211.9171.8–256.1
2067358.6347.6–363.3208.4168.3–269.8
2068359.9350.3–364.4216.4169.7–268.7
2069357.6347–363.1213170.3–268.1
2070359.5350.4–363216.4176.4–270.9
2071359.6350.5–363.2215.5174.6–273.5
2072360.2348.4–364.2227.3184.1–272.3
2073359.3350.3–363.5230.4189.3–278.5
2074359.5348–363.3220.7176.9–277
2075359.9348.5–363.4217.7167–274.2
2076359.4350.5–364228.1178.9–279
2077359.9352.2–363.7229.5189.6–280.5
2078360351.2–363.4225.6187.8–276.4
2079359.8350.9–363.3231.9168.8–277.7
2080361.3349.8–364.6232.8182.6–283.1
2081360.4350.5–363.9227.9187.6–279.3
2082360.3351–363.3233.1185.6–279.4
2083360351.1–363.8232.2175.7–297
2084360.8350.8–364.9237.2185.5–288.8
2085361352.3–363.7239.5192.4–291.7
2086360.4352.5–364.1236.2189.8–289.4
2087359.7347.8–363.8239.4188.9–294
2088360.3352.2–364.7236.8193.6–288.9
2089360.2352.3–363.8238.8193.8–293.7
2090360.2351.3–363.9237.7190.1–301.5
2091360.9351.6–364.1251188.7–300.1
2092360.7352.4–364.7243.4194.9–297.8
2093361.6354.1–363.9244.4199.2–296.8
2094361.3353.8–364.3245.6202.9–299.8
2095361.5353.2–364253.2202.4–306.1
2096361.1352.8–365.1241.4196.5–304
2097360.7351.9–364.2243.1194–296.6
2098361.5352.6–364.1242.9199–302.3
2099361.2352.4–364.1247.3194.4–306.1
2100361.1352.6–364.2245.3195.5–307.2

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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