尼日利亚与巴基斯坦对比

尼日利亚与巴基斯坦：热带夜

2014 年热带夜：尼日利亚为 303.9 夜，巴基斯坦为 149.9 夜（CMIP6 气候模型中位数模拟）。 2014 年尼日利亚的数值较高，高出 154 夜，是巴基斯坦的 2.03 倍。

在地图上查看其变化

每年夜数 · CMIP6

尼日利亚与巴基斯坦：热带夜2014 年热带夜：尼日利亚为 303.9 夜，巴基斯坦为 149.9 夜（CMIP6 气候模型中位数模拟）。 2014 年尼日利亚的数值较高，高出 154 夜，是巴基斯坦的 2.03 倍。
尼日利亚巴基斯坦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 年尼日利亚为 332.3 夜，巴基斯坦为 177.6 夜。

逐年数据

每年夜数 · CMIP6

年份尼日利亚巴基斯坦
2014303.9149.9
2013299.5149.1
2012304.4149.9
2011301.5149
2010301.4148.4
2009297.8147.1
2008297.4147.4
2007298147.3
2006297.2146.7
2005295.4146.5
2004294.1147.5
2003298.4146
2002295.2148.3
2001299.1145.4
2000293.9144.7
1999290.3146.9
1998289.9144.8
1997292.5143.2
1996290141.2
1995289.1141.8
1994287.4142.1
1993284140.4
1992281.6139.9
1991289.1142.5
1990290.6142.6
1989287.2142.5
1988288140.3
1987285.6140
1986289.1140
1985284.2140
1984284.4138.9
1983281.9136.3
1982283.5138.5
1981286.4141.5
1980282.8139.5
1979283139.1
1978282.8139
1977285.9138.6
1976281.7139.2
1975280.4136.5
1974280.7138.7
1973284.3137.8
1972284.1137.4
1971279.3136
1970282137.7
1969278.7135.9
1968279.6136.6
1967278.1135.2
1966279.4136.9
1965279138.3
1964276.8135.1
1963275.1135.7
1962284.1137
1961281.9138.6
1960285.9139
1959282.8138.6
1958281.4137.7
1957283.3140
1956280.8137.8
1955280.4137.5
1954284.1137.8
1953280.4136.9
1952280.8138.1
1951284.2136.7
1950279.3139.1
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份尼日利亚巴基斯坦
2015301.7282.9–317.3152.4138.7–163.3
2016301.4280.8–312.5150.6139.4–161.7
2017302.5284.3–316.3151.3138.8–162
2018302.2286.8–316.5152.6139.8–161.8
2019300.1281.2–318151.8138.1–163.3
2020303283.7–318.5153.1140.3–164.5
2021305.1287.1–318.4154.1140.6–165.7
2022305.1286–319.5153.1140.2–165.7
2023305286.4–318.9155.5141.6–165.9
2024310.6295.1–321.5156.8143.3–168.7
2025307.5292–319.4155.7141.5–168.6
2026306.9286.1–322.9155.3142.2–167.9
2027307.4288–321.7156.8140.9–168.9
2028310.7293.4–322.6156.5143.9–167.6
2029311.4293.3–324.4155.9141.5–167.7
2030310.6294.1–322.5156.3143.3–167.6
2031312.2295–324.8157.3144.4–168.1
2032310290–323.5157.4142.5–169.6
2033313292.9–327157.7143.6–169.4
2034311.7294.8–325.1159.5145.6–173.4
2035314.5296.7–327.7159.3146.7–170.3
2036313.5294.1–326.5159.1147.5–171.4
2037315.6297.9–327.1162.2147.5–175.3
2038316.9301.2–329.6161.4148.6–171.7
2039315.4299.4–328.2160148.2–170.4
2040315.6297.9–327.4160.9147.9–171.3
2041316.8300.6–330.2160.8146.7–171.7
2042316.3300.3–330.3162.3149.9–175.6
2043316298.4–326161.1150.3–173.8
2044317.9299.5–329.6163150.9–173.9
2045316.6300.5–330.4163149.5–174.8
2046317.8302.2–330.7163.5149.8–177.2
2047319.8301.5–333165.2151.8–178.5
2048320.1302.4–331.7166.4154.1–179.4
2049320.7305.3–331.7165150.8–178.2
2050320.9304–335166.9153.5–179.3
2051321304.1–334.2165.6150.8–180
2052320.9303.9–333.5166.7155.4–179.5
2053320.9303.3–334.1166.3154.2–178.8
2054324.5304.5–338.2167.5153.9–181
2055322.2308.4–333.7167.8155.8–182.5
2056324.8305.8–336.3166.3153.6–179.7
2057326310.8–337.3168.3153.9–182.3
2058322.9307.4–334.2167.5157–179.9
2059325.7308.9–339170.9155.9–183.8
2060323.8307.5–337170.3156.5–181.8
2061324.4307.1–338.2168.8156.8–179.6
2062325.7308–339.3171.6153.5–186.5
2063326.6308.7–337171.3159.5–183.8
2064326.2311–339.8170.2155.3–184.5
2065327.6313.5–339.4169.7156.4–185
2066328.4311.3–339.6172.2157–186.7
2067326308.4–340.5173.2160.2–186.3
2068329.3311.2–342.9172.6157.7–186.3
2069326.6309.9–338.1171.8157.3–185.6
2070327.4312.6–340.7171.7158.9–186.7
2071329.1313–341.1173.4158.7–186.8
2072330.3315.9–342.1174161.5–186.9
2073326.3309.5–341175.6157.2–187.9
2074326.7311.4–341.4173.5160–186.3
2075328.9314.5–341.8173161.5–187.8
2076329.6313.4–342172.9158.8–186.7
2077332.5314.4–343.3175161.3–187.8
2078329.8312.8–342.1174.4160.9–189.3
2079329.6313.8–340.6172.5158.3–187.7
2080331.7314.1–344.8175.1160.7–189.2
2081329.3311.6–343.7174.9159.2–190.2
2082329.3313.3–341.4175.4161.8–190.6
2083330.4315–342.2176.5161.8–190.8
2084330.5311.9–344.2176.1160.9–190.5
2085332.7316.6–343.6176.3161.9–193.6
2086331.9316.3–343.6173.9160–189.1
2087330.7314.9–342.4176161–193.1
2088331.7313.2–342.7175.4160.5–195.2
2089331.1318.3–341.9177.2164.2–191.7
2090332.4312.7–343.9177.7163.9–192.2
2091333.3311–345.8177.8162.8–192.2
2092332.7313.8–345.7178.7162.9–192.9
2093334.2318.6–344.9177164–191
2094334.2317.3–345.6176.8164.1–190.7
2095333.8319.3–346.3178.6163.8–193.1
2096332.5317.4–346.7177.8163.7–192.5
2097331.8312.6–344.6177.3160.4–192.5
2098332.3316–343.7178.7162.6–195.7
2099333316.9–344.2176159.9–193.2
2100332.3318.5–345177.6162.2–193

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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

尼日利亚与巴基斯坦对比

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