印度尼西亚与坦桑尼亚对比

印度尼西亚与坦桑尼亚：热带夜

2014 年热带夜：印度尼西亚为 306.5 夜，坦桑尼亚为 106.3 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 200.2 夜，是坦桑尼亚的 2.88 倍。

在地图上查看其变化

每年夜数 · CMIP6

印度尼西亚与坦桑尼亚：热带夜2014 年热带夜：印度尼西亚为 306.5 夜，坦桑尼亚为 106.3 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 200.2 夜，是坦桑尼亚的 2.88 倍。
印度尼西亚坦桑尼亚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，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，坦桑尼亚为 208 夜。

逐年数据

每年夜数 · CMIP6

年份印度尼西亚坦桑尼亚
2014306.5106.3
2013306.4105.5
2012306.3108.4
2011304.6109
2010305.6103.9
2009303.9101.1
2008303.4100.3
2007302.899.5
2006302.8100.4
2005303.198.7
2004303.8100.4
2003301.999.6
2002301.598.4
2001302.5101.5
2000300.994.9
1999300.494.2
1998299.196.8
1997297.993.5
1996296.989.6
1995296.788.5
1994294.685.4
1993291.681.2
1992288.580.1
1991297.589.6
1990298.691.1
198929689.1
1988296.587.6
1987295.688.5
1986295.889.4
1985292.883
1984293.483.1
1983290.182.1
1982294.484.8
1981294.888
1980294.585
1979294.185.5
1978292.482.9
1977293.484.1
1976290.881
1975290.780.8
1974291.582.2
197329383.6
1972290.781.4
1971291.280.7
1970288.981.8
1969290.479.5
1968289.179.1
1967288.477.5
1966290.578.1
1965288.178
1964286.273.8
1963286.473.1
1962291.281.1
1961292.982.6
1960292.883.9
1959291.981.4
1958293.382.1
1957290.880.9
1956291.580
1955292.481.6
195429081.4
1953291.480.6
1952291.781.4
1951291.782.1
1950291.880.7
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份印度尼西亚坦桑尼亚
2015308295.7–315.1114.895.2–137.4
2016307.5296.9–315.6108.391.6–125.6
2017308.4295.5–315.6114.893.6–137.8
2018308.9296.4–316.6116.497.4–137.1
2019309.9297.8–316.7113.495.2–133.2
2020310.9299–318.6119.396.2–143.5
2021310.4298.7–316.4119.5100.9–147.1
2022311.4300–319.6124.4105.3–147.4
2023311.4300.1–320.6122.1102.1–147.8
2024313.2302–321.2126.2100–150.1
2025312300.2–321.9124.6100.9–154
2026312.6299.9–322.8126.999.1–155.6
2027312.7301–321.6128102.9–147.7
2028313.8302.4–321.9129.9106.4–152.1
2029315.5303.9–324.1134.1111–156.5
2030314.2303.1–322.6129.4106.4–151.1
2031314.4301.6–321.9136.4115.9–158.4
2032316.9304.8–325.8135.1114–166.8
2033316.6305.4–323.3135.2110.9–161.9
2034315.4303.9–323.9134.7112.5–166.3
2035316.3305.6–327.9140.2114.6–165
2036317.7305.2–326.2137.8113.3–165.5
2037318.1306.6–325.2142.9121.5–168.9
2038319.3307.6–326.7147.9124.3–169.3
2039319.4307.7–326.7144.3117.6–171.3
2040318.5306.5–329140.5117–178
2041320.2308.3–328149.1121.7–175.6
2042320308.7–329.2146.3120.5–185.3
2043318.6306.6–327.8144.6117–173
2044321309–329.6147.7121.2–175.8
2045320.8308.6–329.8150.1125.2–183.4
2046322.8308.8–331161.5128.6–192.2
2047323.2308.8–333160.2129.7–194.4
2048322.3310.5–332.3158.8132.7–193.1
2049323.8311.6–334.1157.6131.1–196
2050323.3310.3–333.5159.7127.8–192
2051323.6311.2–334.4163.2135.5–197.8
2052325.1311.7–334.7161.9136.2–199.1
2053323.9310.9–333.8160.6127.5–197.7
2054324.4311.9–335.4163.2131.5–200.2
2055325.3312.6–335167.4137–208.3
2056325.9312.4–337.2166.4130.8–209.7
2057326.9311.9–335.2168134.6–208.3
2058326.4313–336.3168.7134.9–210.3
2059326.4313.9–337.8174.7144.9–219.5
2060329.5314.9–338.2181.7138.1–219.8
2061327.9313.6–336.9171.8135.5–218.1
2062327.6312.4–339.1177.5139.9–224
2063327.6313.9–339.4181.4140.1–213.8
2064328.8314.4–338.6185.3140.1–215.2
2065327.6314.3–337.9183.5141.1–221.8
2066328.6314.7–338.5181.9146.3–219.3
2067328.8314.3–338178.8138.8–229.2
2068329.8314.4–339.9186144.2–228.4
2069329.5315.5–339.3183.7141.7–225.3
2070328.6315.1–338.8180.7140.4–228.2
2071331.4315.5–340.4184.9146.9–235.2
2072330.3315.9–339.4191.3155–226.1
2073331.4317.7–341191.6152.4–235.6
2074329.9316.8–341.1183.3149.7–231.7
2075330.5315.2–340.2183.8144.8–233
2076331.5316.2–341.2191.1150.9–233.2
2077332315.9–341.8191.3152.6–238.2
2078331.4318.2–340.9189156.6–233.8
2079331.5316.6–341.5190.5147–237.3
2080332.4317.4–343.2197.3150.7–241.2
2081332.3318.4–341.8195.6153.4–237.4
2082332.8317.8–340.4194.5157.3–237.3
2083333.1318.7–342.6193.2151–249.8
2084333317.8–342.7201.1152.2–246.7
2085332.6318.1–342.7204.2162.3–252.3
2086333.1318.9–342.3195156–248.7
2087332.6318–343.2196.7160.8–244.5
2088334.5319.5–343.1208.4154.7–246.9
2089333.6319–342.6201.3158.6–248.2
2090333.3319.6–343.3197.9160.7–253.6
2091334.5318.2–343.9210161.6–256
2092335.1319.7–343.6205.8158.3–253.6
2093333.9320–344.9207.2161.2–251.9
2094335.6320.4–342.8207.9161.3–250.6
2095335.4319.7–343214.2166.4–258.5
2096334.3319.4–346.1205.3159.8–257.4
2097334.2319.5–343.3206.6158.4–256.8
2098334.9319.4–343.4209.1161–258.3
2099334.4319.4–344.6208.5160.1–256
2100334.7318.7–343.3208158.6–258.6

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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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