印度尼西亚与以色列对比

印度尼西亚与以色列：热带夜

2014 年热带夜：印度尼西亚为 306.5 夜，以色列为 97.9 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 208.6 夜，是以色列的 3.13 倍。

在地图上查看其变化

每年夜数 · CMIP6

印度尼西亚与以色列：热带夜2014 年热带夜：印度尼西亚为 306.5 夜，以色列为 97.9 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 208.6 夜，是以色列的 3.13 倍。
印度尼西亚以色列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，以色列为 149.4 夜。

逐年数据

每年夜数 · CMIP6

年份印度尼西亚以色列
2014306.597.9
2013306.498
2012306.396.3
2011304.696.1
2010305.695.5
2009303.992.5
2008303.494.1
2007302.892.7
2006302.892
2005303.192.3
2004303.890.7
2003301.993.9
2002301.589.5
2001302.591
2000300.989.5
1999300.486.2
1998299.184.8
1997297.984.2
1996296.983.7
1995296.779.3
1994294.680.1
1993291.671.6
1992288.574.9
1991297.578.4
1990298.680.2
198929676.9
1988296.576.5
1987295.675.1
1986295.878.3
1985292.874
1984293.469.4
1983290.168.9
1982294.473.5
1981294.873.5
1980294.575.3
1979294.168.7
1978292.471.6
1977293.472.3
1976290.873.2
1975290.770.9
1974291.572.5
197329371.9
1972290.769.9
1971291.273.1
1970288.971.6
1969290.470.6
1968289.169.6
1967288.466.9
1966290.568.8
1965288.163.5
1964286.266.1
1963286.470.9
1962291.273
1961292.971.5
1960292.874.9
1959291.975
1958293.373
1957290.874.8
1956291.574.3
1955292.472.8
195429071.4
1953291.473.7
1952291.772
1951291.775.1
1950291.869.5
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份印度尼西亚以色列
2015308295.7–315.1105.988.4–122.7
2016307.5296.9–315.6104.186.9–120.1
2017308.4295.5–315.6107.892.2–121.4
2018308.9296.4–316.610993.8–124.2
2019309.9297.8–316.710989.1–124.5
2020310.9299–318.6111.594.8–123.5
2021310.4298.7–316.411097.7–128.4
2022311.4300–319.6111.493.6–130.2
2023311.4300.1–320.6117.297.9–130.5
2024313.2302–321.2114.5100.4–127.3
2025312300.2–321.9116.698.3–129.2
2026312.6299.9–322.8115.9104.9–126.2
2027312.7301–321.6115.699–127.1
2028313.8302.4–321.9116.3100.2–127.9
2029315.5303.9–324.1117103.1–129.2
2030314.2303.1–322.6118.6102.1–131.2
2031314.4301.6–321.9116.8104.4–132.8
2032316.9304.8–325.8121.4106.5–134.7
2033316.6305.4–323.3122.1108.9–134.7
2034315.4303.9–323.9119.7103.1–133.4
2035316.3305.6–327.9122.8105.8–138.8
2036317.7305.2–326.2120.2105.5–136.2
2037318.1306.6–325.2121.6106.3–139.4
2038319.3307.6–326.7126.5105.7–142.1
2039319.4307.7–326.7127.7110.5–147.1
2040318.5306.5–329124.2109.7–144.9
2041320.2308.3–328126108.4–141.5
2042320308.7–329.2128.5105.8–144.3
2043318.6306.6–327.8126.5111.8–144.3
2044321309–329.6125.9108.5–142.9
2045320.8308.6–329.8130.9117.5–148.6
2046322.8308.8–331131114.4–147.2
2047323.2308.8–333132.3116.1–145.4
2048322.3310.5–332.3129.9118.5–146.9
2049323.8311.6–334.1127.9108.7–143.9
2050323.3310.3–333.5133.3114.3–147
2051323.6311.2–334.4130.3116.7–143.9
2052325.1311.7–334.7130.3119.9–143.5
2053323.9310.9–333.8135120.4–149.7
2054324.4311.9–335.4134.1118.8–149.3
2055325.3312.6–335134.1115.2–150.3
2056325.9312.4–337.2136110.1–151.1
2057326.9311.9–335.2132.7110.9–155
2058326.4313–336.3135.7119.1–155.4
2059326.4313.9–337.8138.8118.5–156.7
2060329.5314.9–338.2136.1116.3–159.2
2061327.9313.6–336.9136119–150.7
2062327.6312.4–339.1139118.7–156
2063327.6313.9–339.4137.4120.1–151.2
2064328.8314.4–338.6139.3121–154.3
2065327.6314.3–337.9139.6122.3–154.3
2066328.6314.7–338.5137.3119.6–153.7
2067328.8314.3–338142.8126–157.8
2068329.8314.4–339.9141.2122.8–156.4
2069329.5315.5–339.3141.5123.7–157.6
2070328.6315.1–338.8141.8120.5–157.5
2071331.4315.5–340.4142.9124.3–161.8
2072330.3315.9–339.4144.3127–158.5
2073331.4317.7–341143.6127.3–159.2
2074329.9316.8–341.1138.8123–162.2
2075330.5315.2–340.2138.1120.8–154.6
2076331.5316.2–341.2143.2126.8–161.5
2077332315.9–341.8142.8120.5–161.6
2078331.4318.2–340.9143.6128.2–160.6
2079331.5316.6–341.5148.6123.7–160.2
2080332.4317.4–343.2145.5123.5–163.7
2081332.3318.4–341.8143.7128.1–161.2
2082332.8317.8–340.4145.8129.5–160.6
2083333.1318.7–342.6149.4126–163.1
2084333317.8–342.7148128.2–164
2085332.6318.1–342.7149127.9–162.4
2086333.1318.9–342.3148127.4–167.1
2087332.6318–343.2146.4123.7–165.7
2088334.5319.5–343.1147.6133.5–165.3
2089333.6319–342.6148.4131.4–169.1
2090333.3319.6–343.3147.6132.4–168.8
2091334.5318.2–343.9151.9131.7–170.6
2092335.1319.7–343.6148.2132–167.4
2093333.9320–344.9154.1135.3–172.2
2094335.6320.4–342.8153.2133.6–170.3
2095335.4319.7–343148.2131.4–164.1
2096334.3319.4–346.1150.5130.5–172.6
2097334.2319.5–343.3149.8134.4–172.7
2098334.9319.4–343.4150.9131.3–170.1
2099334.4319.4–344.6149.5129–166.6
2100334.7318.7–343.3149.4130.1–168.5

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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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