塞内加尔与南苏丹对比

塞内加尔与南苏丹：热带夜

2014 年热带夜：塞内加尔为 302.1 夜，南苏丹为 343.7 夜（CMIP6 气候模型中位数模拟）。 2014 年南苏丹的数值较高，高出 41.6 夜，是塞内加尔的 1.14 倍。

在地图上查看其变化

每年夜数 · CMIP6

塞内加尔与南苏丹：热带夜2014 年热带夜：塞内加尔为 302.1 夜，南苏丹为 343.7 夜（CMIP6 气候模型中位数模拟）。 2014 年南苏丹的数值较高，高出 41.6 夜，是塞内加尔的 1.14 倍。
塞内加尔南苏丹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，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 年塞内加尔为 347.3 夜，南苏丹为 361.1 夜。

逐年数据

每年夜数 · CMIP6

年份塞内加尔南苏丹
2014302.1343.7
2013300.9342.1
2012304.1342.8
2011302.1343.3
2010301.5341.9
2009302.1338.8
2008298.3339.8
2007298.5336.9
2006298.6339
2005298.1336.8
2004294.7336.6
2003296.1338.9
2002296336.6
2001298.9338.7
2000295334.6
1999293.2331.8
1998292.5333.6
1997288.5334.5
1996285.1330.7
1995285.9329.6
1994283.7328.2
1993282321.9
1992277.6321.5
1991286.7329.1
1990292.5332.6
1989282.1329
1988282.4330.5
1987281.8328.8
1986283330.4
1985278.1327.1
1984274.6324.1
1983276.3322.8
1982281.3322.8
1981277.9329.9
1980277.6326.5
1979281325.3
1978280.7324.1
1977278325
1976274.4322.6
1975278.4320.8
1974273.8320.1
1973274.5325.4
1972273.5324.7
1971273.4319.9
1970271.3322.3
1969271.6318.5
1968272.6318.3
1967275.4315.6
1966273.3317.2
1965272.8316.5
1964271.8312.9
1963272.8309.8
1962280.2323.9
1961276.9323.3
1960279.2324.8
1959277.4321.5
1958278.8320.2
1957274.4322.1
1956273.2319.5
1955273.4317
1954275322.4
1953271.7321.6
1952271322.4
1951272.9323.9
1950270.8318.6
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份塞内加尔南苏丹
2015298.9275.9–321342.7327.5–353.3
2016302.7276.5–319342.1325.1–351.1
2017302.9285.4–318.6344.5326.9–353.7
2018305.6289.2–321.5344.1324.9–353.7
2019307.6280.6–328.1344.5324–354.2
2020305.2276.2–322.9344.9326.9–355.6
2021307.6286–325.6347.3329.2–355.3
2022312.9289.6–334.3344.5326.1–355.5
2023307.5292.2–328.6347.2329.2–357
2024313.2294.6–326.9350.4331.6–357.9
2025311.8289–329.4347.1330.2–357.7
2026308.3285.2–328.6347.6329.5–356.7
2027310.7287.8–330346327.1–356.1
2028316.3289.2–331.6349.4333.5–357.3
2029315.7291.2–334.2348.6337.5–355.6
2030311.5289.1–329.1349.3335.5–357.2
2031318.8296.3–335351.3336.3–357.6
2032316295.7–332.4348.6333.6–357.7
2033316.7289.6–336.4350.8336.7–359.4
2034315.4291.6–335.1350.2337.5–358.3
2035316.8291.1–335.3352.3331–359.5
2036320.8298.5–335.3352340.8–359.1
2037324.5303.1–337.7351.9337.4–359.5
2038323.5304.2–339.7354.3341.9–359.6
2039323.3300.9–337353.8340.6–360
2040322.4298.9–339.5353.5338.7–360.2
2041320.2300.1–343.6353.2336.9–360.2
2042320302.1–339.9351.9336.9–360.3
2043320.4303.7–340.4353.2336.2–359.5
2044326.9301.5–340.9353.7339.9–361.1
2045324.1304.1–340353.7342.2–360.6
2046325.9304.7–340.6355.4342.2–361
2047329301.4–347355.7344–361.2
2048331.1314.3–344.8354.7342.5–361.6
2049331.3308.3–343.7356.7346.4–361.1
2050327.6306.5–341.9356.8345.6–361.7
2051328307.1–344356345.4–361.8
2052325.4308.1–344.2355.3343.8–362.2
2053331.8304.9–347.2355.5343.4–361.7
2054330.1310.8–345.2356.9345.2–362.1
2055330.1305.5–344356.9345–361.7
2056331.4307.4–349.8356.7345.7–363.1
2057337306.4–351.5358.4349.2–362.6
2058333313.2–350.2357.7345–361.8
2059334315.6–353.5358.6348.4–362.6
2060334.5316.4–351.1357.7344.7–363.8
2061333.7307.5–352.9358.2345.8–362.7
2062333.3312.4–350.2357.4345.2–363.1
2063335.4313.2–352.8358.8347.3–362.6
2064335.4307.1–351.1358.9348.4–363.3
2065334.8314.1–352.8359.1351.1–362.9
2066337.3312.9–351359.2350.6–363.1
2067335.5309.9–349.9358.6347.6–363.3
2068335.5313.5–354359.9350.3–364.4
2069336.1316.9–351.8357.6347–363.1
2070333.3312.9–352.9359.5350.4–363
2071335.7321.1–351.9359.6350.5–363.2
2072342.3321–354.6360.2348.4–364.2
2073339.4320.1–356.1359.3350.3–363.5
2074335.9317.1–351.8359.5348–363.3
2075338.4320.7–354.1359.9348.5–363.4
2076338.7321.9–352359.4350.5–364
2077342.8314.8–357.3359.9352.2–363.7
2078343325.8–355.4360351.2–363.4
2079341.2322.3–357.6359.8350.9–363.3
2080340.9317.7–358.1361.3349.8–364.6
2081339.8315.5–357.1360.4350.5–363.9
2082341.6316.4–354.9360.3351–363.3
2083340.8324.8–356.9360351.1–363.8
2084340.4322.8–354.9360.8350.8–364.9
2085346.8325.6–357361352.3–363.7
2086341.7324.4–357.6360.4352.5–364.1
2087343.9325.9–357.7359.7347.8–363.8
2088341.5321.6–358.2360.3352.2–364.7
2089343.2324.3–355.2360.2352.3–363.8
2090342320.6–356360.2351.3–363.9
2091341.7319.8–356.4360.9351.6–364.1
2092339.7318.4–357.7360.7352.4–364.7
2093345326.8–356.4361.6354.1–363.9
2094344.4324.3–357.6361.3353.8–364.3
2095346.3320.6–359.4361.5353.2–364
2096344.4323.1–359.2361.1352.8–365.1
2097341.4321.3–353.8360.7351.9–364.2
2098345322.3–357361.5352.6–364.1
2099344.6322.7–357.5361.2352.4–364.1
2100347.3323.6–359.2361.1352.6–364.2

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

塞内加尔与南苏丹对比

健康

人口与社会

经济

教育

政治

冲突

军用

气候

技术与环境