毛里塔尼亚与塞内加尔对比

毛里塔尼亚与塞内加尔：热带夜

2014 年热带夜：毛里塔尼亚为 215.9 夜，塞内加尔为 302.1 夜（CMIP6 气候模型中位数模拟）。 2014 年塞内加尔的数值较高，高出 86.2 夜，是毛里塔尼亚的 1.4 倍。

在地图上查看其变化

每年夜数 · CMIP6

毛里塔尼亚与塞内加尔：热带夜2014 年热带夜：毛里塔尼亚为 215.9 夜，塞内加尔为 302.1 夜（CMIP6 气候模型中位数模拟）。 2014 年塞内加尔的数值较高，高出 86.2 夜，是毛里塔尼亚的 1.4 倍。
毛里塔尼亚塞内加尔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，塞内加尔的数值都更高。
  • 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年毛里塔尼亚为 251.8 夜，塞内加尔为 347.3 夜。

逐年数据

每年夜数 · CMIP6

年份毛里塔尼亚塞内加尔
2014215.9302.1
2013217.9300.9
2012218.8304.1
2011217.9302.1
2010216301.5
2009215.4302.1
2008216.2298.3
2007213.3298.5
2006214.6298.6
2005212.8298.1
2004213.3294.7
2003212.2296.1
2002211.4296
2001213.4298.9
2000211.1295
1999210.9293.2
1998208.5292.5
1997207288.5
1996202.9285.1
1995205.2285.9
1994203.4283.7
1993203.1282
1992196277.6
1991205.1286.7
1990210.7292.5
1989201.9282.1
1988201.6282.4
1987201.5281.8
1986202283
1985198.9278.1
1984197.8274.6
1983197.8276.3
1982203281.3
1981199.8277.9
1980199.3277.6
1979201.6281
1978199.9280.7
1977199.9278
1976197.7274.4
1975199.6278.4
1974193.9273.8
1973196.5274.5
1972196273.5
1971194.7273.4
1970192.2271.3
1969194.8271.6
1968195.5272.6
1967194.7275.4
1966194.2273.3
1965192.8272.8
1964195271.8
1963196.3272.8
1962199.5280.2
1961198.3276.9
1960200.7279.2
1959196.9277.4
1958197.7278.8
1957197.8274.4
1956196.4273.2
1955198.2273.4
1954195.5275
1953192.9271.7
1952196.6271
1951196.2272.9
1950194.1270.8
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份毛里塔尼亚塞内加尔
2015216.1198.7–232.8298.9275.9–321
2016215.8197.2–230.6302.7276.5–319
2017220.3202–234.4302.9285.4–318.6
2018219.7202.8–237.3305.6289.2–321.5
2019223.4205.7–241.8307.6280.6–328.1
2020221.3196.9–237.4305.2276.2–322.9
2021222.3207.2–237.6307.6286–325.6
2022225.3206.8–246312.9289.6–334.3
2023221.1207.6–234.5307.5292.2–328.6
2024226210.6–243.4313.2294.6–326.9
2025222.6207.3–241.8311.8289–329.4
2026224207.4–241.8308.3285.2–328.6
2027225.9207.3–242.6310.7287.8–330
2028227.4210–239.9316.3289.2–331.6
2029226.9209.2–242.4315.7291.2–334.2
2030223.8205.3–241.8311.5289.1–329.1
2031230.6210.7–248.1318.8296.3–335
2032229.3212.1–247.1316295.7–332.4
2033227.6207.3–246.1316.7289.6–336.4
2034230.1213–247.7315.4291.6–335.1
2035228.6212.8–247.3316.8291.1–335.3
2036229.8215.4–247.8320.8298.5–335.3
2037231.9212.6–249.1324.5303.1–337.7
2038232.7211.7–250.3323.5304.2–339.7
2039231.8215.8–251323.3300.9–337
2040232.8214.7–253.3322.4298.9–339.5
2041232.4217.9–251.6320.2300.1–343.6
2042234.2214.6–253.8320302.1–339.9
2043232.5217.8–248.4320.4303.7–340.4
2044237.7218.4–254.1326.9301.5–340.9
2045235.8216.8–251.9324.1304.1–340
2046239.1218.3–255.4325.9304.7–340.6
2047240.3219.6–261329301.4–347
2048239.5222.3–259.9331.1314.3–344.8
2049240.1220.7–257.1331.3308.3–343.7
2050237.2218.9–253.5327.6306.5–341.9
2051236.7218.5–257.6328307.1–344
2052236.5219.6–262.4325.4308.1–344.2
2053237.8218.3–258.6331.8304.9–347.2
2054238.6219.5–258.4330.1310.8–345.2
2055240.1219.3–257.3330.1305.5–344
2056241.2222.9–259331.4307.4–349.8
2057244.6223.1–266.2337306.4–351.5
2058239.1221.4–262.5333313.2–350.2
2059242.3226.2–265.4334315.6–353.5
2060243.1227.4–261.8334.5316.4–351.1
2061245.3222.9–265.9333.7307.5–352.9
2062238.9218.3–263.2333.3312.4–350.2
2063246.9224.6–263.4335.4313.2–352.8
2064244.1224.1–266.6335.4307.1–351.1
2065243.9222.8–262.7334.8314.1–352.8
2066244.1226.3–265337.3312.9–351
2067243.3223.2–260.4335.5309.9–349.9
2068246228.1–265.8335.5313.5–354
2069244.7224.5–262.9336.1316.9–351.8
2070246.2223.5–265.7333.3312.9–352.9
2071244.8226.7–264335.7321.1–351.9
2072247.7228.1–267.9342.3321–354.6
2073250231.5–271.3339.4320.1–356.1
2074249.4225.1–265.9335.9317.1–351.8
2075245.8226.5–268.4338.4320.7–354.1
2076246.5227.9–264338.7321.9–352
2077249.7230.2–273.4342.8314.8–357.3
2078253.1231.4–269.4343325.8–355.4
2079249.4224.5–270341.2322.3–357.6
2080248.9229–267.4340.9317.7–358.1
2081248228.7–272.3339.8315.5–357.1
2082250.5227.7–266.6341.6316.4–354.9
2083250.2228.8–273.7340.8324.8–356.9
2084250.2229.2–269.9340.4322.8–354.9
2085256.7229.3–276.1346.8325.6–357
2086248.5229.5–274.5341.7324.4–357.6
2087249.6228–274343.9325.9–357.7
2088252.9232.3–277.9341.5321.6–358.2
2089253.8230.8–275.2343.2324.3–355.2
2090254232.1–272.4342320.6–356
2091252.1232.1–277.6341.7319.8–356.4
2092250.4231.2–272339.7318.4–357.7
2093253.7235.3–276.4345326.8–356.4
2094254233.7–275.6344.4324.3–357.6
2095253.3229.7–275.7346.3320.6–359.4
2096254.6227.9–276.1344.4323.1–359.2
2097248.6231–268.7341.4321.3–353.8
2098254.5232.7–274.9345322.3–357
2099254.4231.4–278344.6322.7–357.5
2100251.8231–272.5347.3323.6–359.2

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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

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