印度尼西亚与巴基斯坦对比

印度尼西亚与巴基斯坦：热带夜

2014 年热带夜：印度尼西亚为 306.5 夜，巴基斯坦为 149.9 夜（CMIP6 气候模型中位数模拟）。 2014 年印度尼西亚的数值较高，高出 156.6 夜，是巴基斯坦的 2.04 倍。

在地图上查看其变化

每年夜数 · CMIP6

印度尼西亚与巴基斯坦：热带夜2014 年热带夜：印度尼西亚为 306.5 夜，巴基斯坦为 149.9 夜（CMIP6 气候模型中位数模拟）。 2014 年印度尼西亚的数值较高，高出 156.6 夜，是巴基斯坦的 2.04 倍。
印度尼西亚巴基斯坦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，印度尼西亚的数值都更高。
  • 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年印度尼西亚为 334.7 夜，巴基斯坦为 177.6 夜。

逐年数据

每年夜数 · CMIP6

年份印度尼西亚巴基斯坦
2014306.5149.9
2013306.4149.1
2012306.3149.9
2011304.6149
2010305.6148.4
2009303.9147.1
2008303.4147.4
2007302.8147.3
2006302.8146.7
2005303.1146.5
2004303.8147.5
2003301.9146
2002301.5148.3
2001302.5145.4
2000300.9144.7
1999300.4146.9
1998299.1144.8
1997297.9143.2
1996296.9141.2
1995296.7141.8
1994294.6142.1
1993291.6140.4
1992288.5139.9
1991297.5142.5
1990298.6142.6
1989296142.5
1988296.5140.3
1987295.6140
1986295.8140
1985292.8140
1984293.4138.9
1983290.1136.3
1982294.4138.5
1981294.8141.5
1980294.5139.5
1979294.1139.1
1978292.4139
1977293.4138.6
1976290.8139.2
1975290.7136.5
1974291.5138.7
1973293137.8
1972290.7137.4
1971291.2136
1970288.9137.7
1969290.4135.9
1968289.1136.6
1967288.4135.2
1966290.5136.9
1965288.1138.3
1964286.2135.1
1963286.4135.7
1962291.2137
1961292.9138.6
1960292.8139
1959291.9138.6
1958293.3137.7
1957290.8140
1956291.5137.8
1955292.4137.5
1954290137.8
1953291.4136.9
1952291.7138.1
1951291.7136.7
1950291.8139.1
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份印度尼西亚巴基斯坦
2015308295.7–315.1152.4138.7–163.3
2016307.5296.9–315.6150.6139.4–161.7
2017308.4295.5–315.6151.3138.8–162
2018308.9296.4–316.6152.6139.8–161.8
2019309.9297.8–316.7151.8138.1–163.3
2020310.9299–318.6153.1140.3–164.5
2021310.4298.7–316.4154.1140.6–165.7
2022311.4300–319.6153.1140.2–165.7
2023311.4300.1–320.6155.5141.6–165.9
2024313.2302–321.2156.8143.3–168.7
2025312300.2–321.9155.7141.5–168.6
2026312.6299.9–322.8155.3142.2–167.9
2027312.7301–321.6156.8140.9–168.9
2028313.8302.4–321.9156.5143.9–167.6
2029315.5303.9–324.1155.9141.5–167.7
2030314.2303.1–322.6156.3143.3–167.6
2031314.4301.6–321.9157.3144.4–168.1
2032316.9304.8–325.8157.4142.5–169.6
2033316.6305.4–323.3157.7143.6–169.4
2034315.4303.9–323.9159.5145.6–173.4
2035316.3305.6–327.9159.3146.7–170.3
2036317.7305.2–326.2159.1147.5–171.4
2037318.1306.6–325.2162.2147.5–175.3
2038319.3307.6–326.7161.4148.6–171.7
2039319.4307.7–326.7160148.2–170.4
2040318.5306.5–329160.9147.9–171.3
2041320.2308.3–328160.8146.7–171.7
2042320308.7–329.2162.3149.9–175.6
2043318.6306.6–327.8161.1150.3–173.8
2044321309–329.6163150.9–173.9
2045320.8308.6–329.8163149.5–174.8
2046322.8308.8–331163.5149.8–177.2
2047323.2308.8–333165.2151.8–178.5
2048322.3310.5–332.3166.4154.1–179.4
2049323.8311.6–334.1165150.8–178.2
2050323.3310.3–333.5166.9153.5–179.3
2051323.6311.2–334.4165.6150.8–180
2052325.1311.7–334.7166.7155.4–179.5
2053323.9310.9–333.8166.3154.2–178.8
2054324.4311.9–335.4167.5153.9–181
2055325.3312.6–335167.8155.8–182.5
2056325.9312.4–337.2166.3153.6–179.7
2057326.9311.9–335.2168.3153.9–182.3
2058326.4313–336.3167.5157–179.9
2059326.4313.9–337.8170.9155.9–183.8
2060329.5314.9–338.2170.3156.5–181.8
2061327.9313.6–336.9168.8156.8–179.6
2062327.6312.4–339.1171.6153.5–186.5
2063327.6313.9–339.4171.3159.5–183.8
2064328.8314.4–338.6170.2155.3–184.5
2065327.6314.3–337.9169.7156.4–185
2066328.6314.7–338.5172.2157–186.7
2067328.8314.3–338173.2160.2–186.3
2068329.8314.4–339.9172.6157.7–186.3
2069329.5315.5–339.3171.8157.3–185.6
2070328.6315.1–338.8171.7158.9–186.7
2071331.4315.5–340.4173.4158.7–186.8
2072330.3315.9–339.4174161.5–186.9
2073331.4317.7–341175.6157.2–187.9
2074329.9316.8–341.1173.5160–186.3
2075330.5315.2–340.2173161.5–187.8
2076331.5316.2–341.2172.9158.8–186.7
2077332315.9–341.8175161.3–187.8
2078331.4318.2–340.9174.4160.9–189.3
2079331.5316.6–341.5172.5158.3–187.7
2080332.4317.4–343.2175.1160.7–189.2
2081332.3318.4–341.8174.9159.2–190.2
2082332.8317.8–340.4175.4161.8–190.6
2083333.1318.7–342.6176.5161.8–190.8
2084333317.8–342.7176.1160.9–190.5
2085332.6318.1–342.7176.3161.9–193.6
2086333.1318.9–342.3173.9160–189.1
2087332.6318–343.2176161–193.1
2088334.5319.5–343.1175.4160.5–195.2
2089333.6319–342.6177.2164.2–191.7
2090333.3319.6–343.3177.7163.9–192.2
2091334.5318.2–343.9177.8162.8–192.2
2092335.1319.7–343.6178.7162.9–192.9
2093333.9320–344.9177164–191
2094335.6320.4–342.8176.8164.1–190.7
2095335.4319.7–343178.6163.8–193.1
2096334.3319.4–346.1177.8163.7–192.5
2097334.2319.5–343.3177.3160.4–192.5
2098334.9319.4–343.4178.7162.6–195.7
2099334.4319.4–344.6176159.9–193.2
2100334.7318.7–343.3177.6162.2–193

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

印度尼西亚与巴基斯坦对比

健康

人口与社会

经济

教育

政治

冲突

军用

气候

技术与环境