印度与尼日利亚对比

印度与尼日利亚:热带夜

2014 年热带夜:印度为 215.5 夜,尼日利亚为 303.9 夜(CMIP6 气候模型中位数模拟)。 2014 年尼日利亚的数值较高,高出 88.4 夜,是印度的 1.41 倍。

每年夜数 · CMIP6

印度与尼日利亚:热带夜2014 年热带夜:印度为 215.5 夜,尼日利亚为 303.9 夜(CMIP6 气候模型中位数模拟)。 2014 年尼日利亚的数值较高,高出 88.4 夜,是印度的 1.41 倍。
印度尼日利亚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,尼日利亚的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年印度为 250.4 夜,尼日利亚为 332.3 夜。

逐年数据

每年夜数 · CMIP6

年份印度尼日利亚
2014215.5303.9
2013216299.5
2012217.4304.4
2011215.5301.5
2010215.2301.4
2009213.7297.8
2008213.7297.4
2007213.3298
2006212.5297.2
2005212.9295.4
2004214.9294.1
2003212.1298.4
2002213295.2
2001212.2299.1
2000210.8293.9
1999211.9290.3
1998210.3289.9
1997209.5292.5
1996207290
1995208.8289.1
1994207.1287.4
1993206284
1992203.5281.6
1991208289.1
1990209.9290.6
1989208287.2
1988207.3288
1987207.2285.6
1986207.2289.1
1985205.9284.2
1984206.7284.4
1983203.3281.9
1982205.7283.5
1981208.4286.4
1980205.3282.8
1979205.5283
1978204.1282.8
1977205.9285.9
1976204.6281.7
1975202.6280.4
1974205.3280.7
1973205.6284.3
1972203.8284.1
1971203.6279.3
1970202.6282
1969203.6278.7
1968201.7279.6
1967201.6278.1
1966203.9279.4
1965202.4279
1964201.2276.8
1963201.8275.1
1962203.8284.1
1961206.3281.9
1960206285.9
1959206.1282.8
1958204281.4
1957206.5283.3
1956204280.8
1955203.2280.4
1954206284.1
1953204280.4
1952204.4280.8
1951204.3284.2
1950206.3279.3
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份印度尼日利亚
2015216.9202.1–228.4301.7282.9–317.3
2016215202.5–227.6301.4280.8–312.5
2017216.2202.1–228.5302.5284.3–316.3
2018218.3204.5–231.4302.2286.8–316.5
2019217.4202.3–230.4300.1281.2–318
2020217.6203.1–232303283.7–318.5
2021219.7204.5–233.2305.1287.1–318.4
2022220.5205.8–233305.1286–319.5
2023220.4206.4–233.7305286.4–318.9
2024222.6208.1–236.3310.6295.1–321.5
2025219.7202.7–236.2307.5292–319.4
2026220.2204.2–236.8306.9286.1–322.9
2027223.6207.1–239307.4288–321.7
2028222.1205.1–235.7310.7293.4–322.6
2029225.4210–240.3311.4293.3–324.4
2030222.7207.3–235.6310.6294.1–322.5
2031223.8207.1–237.8312.2295–324.8
2032225.9210–240.5310290–323.5
2033223.8209.3–235.4313292.9–327
2034225.8210–242.7311.7294.8–325.1
2035224.9210.6–240.9314.5296.7–327.7
2036224.2210.4–240.3313.5294.1–326.5
2037228.3213.6–242.6315.6297.9–327.1
2038228.1212.6–241.4316.9301.2–329.6
2039227.4211.9–242.8315.4299.4–328.2
2040227212.2–242315.6297.9–327.4
2041227.1210.7–240.5316.8300.6–330.2
2042229.1214.8–244.2316.3300.3–330.3
2043228.9214.5–244316298.4–326
2044229.7214.7–244.2317.9299.5–329.6
2045231.2216.6–246.1316.6300.5–330.4
2046232.6216.2–248.6317.8302.2–330.7
2047232.4215.5–250319.8301.5–333
2048235.6218.5–254.3320.1302.4–331.7
2049235.3218.3–249.9320.7305.3–331.7
2050233.5216.6–253.4320.9304–335
2051234.9218.6–249.9321304.1–334.2
2052234219.4–249.3320.9303.9–333.5
2053234.9219.5–252.5320.9303.3–334.1
2054237.2219.4–253.1324.5304.5–338.2
2055237.2220.7–256.6322.2308.4–333.7
2056238.8221.2–254.9324.8305.8–336.3
2057235.7218.5–253.8326310.8–337.3
2058238.8222.8–254.1322.9307.4–334.2
2059241.1224.9–256.2325.7308.9–339
2060240.9225.6–255.6323.8307.5–337
2061237.9220.6–253.7324.4307.1–338.2
2062239.9221.2–259.7325.7308–339.3
2063239.9222.3–256.1326.6308.7–337
2064240223.8–256.3326.2311–339.8
2065240.9222.9–257.3327.6313.5–339.4
2066241.5224.1–258.6328.4311.3–339.6
2067241.6224.8–257.9326308.4–340.5
2068242.3224.6–262.1329.3311.2–342.9
2069242.8225.4–259.1326.6309.9–338.1
2070240.1225.3–257.1327.4312.6–340.7
2071241.8223.7–260.2329.1313–341.1
2072242.6225.4–259.2330.3315.9–342.1
2073243.8228–259.3326.3309.5–341
2074241.6226.9–258.4326.7311.4–341.4
2075243.5226.4–258.2328.9314.5–341.8
2076243.2224.6–259.9329.6313.4–342
2077243.7226.6–264.6332.5314.4–343.3
2078246.7230.1–261.5329.8312.8–342.1
2079244.9226.4–261.3329.6313.8–340.6
2080246.7227–263.7331.7314.1–344.8
2081247.5230.4–264.8329.3311.6–343.7
2082244.6227.9–262.3329.3313.3–341.4
2083247.5227.8–265.1330.4315–342.2
2084247.3228.3–266.8330.5311.9–344.2
2085246.5227.5–267.1332.7316.6–343.6
2086245.6227.7–266.5331.9316.3–343.6
2087245.5226.7–266.2330.7314.9–342.4
2088247229.4–266.9331.7313.2–342.7
2089248.1230–266.3331.1318.3–341.9
2090249228.9–266.4332.4312.7–343.9
2091248.9230–266.5333.3311–345.8
2092249.8232.3–267.8332.7313.8–345.7
2093248.1229–266.5334.2318.6–344.9
2094249.1230.6–268.4334.2317.3–345.6
2095251233.2–270333.8319.3–346.3
2096247.8231.4–269.3332.5317.4–346.7
2097251.1231.4–268331.8312.6–344.6
2098252.3230.8–268.3332.3316–343.7
2099248.7230.1–268.3333316.9–344.2
2100250.4232.9–266.7332.3318.5–345

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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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