澳大利亚与印度尼西亚：热带夜

2014 年热带夜：澳大利亚为 135.1 夜，印度尼西亚为 306.5 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 171.4 夜，是澳大利亚的 2.27 倍。

每年夜数 · CMIP6

澳大利亚印度尼西亚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 年澳大利亚为 169.9 夜，印度尼西亚为 334.7 夜。

逐年数据

每年夜数 · CMIP6

年份	澳大利亚	印度尼西亚
2014	135.1	306.5
2013	133	306.4
2012	132.9	306.3
2011	133.8	304.6
2010	134.2	305.6
2009	132.3	303.9
2008	132.3	303.4
2007	131.8	302.8
2006	128.1	302.8
2005	131.7	303.1
2004	131.4	303.8
2003	132.4	301.9
2002	129.7	301.5
2001	130.1	302.5
2000	129.7	300.9
1999	127.7	300.4
1998	128.1	299.1
1997	124.5	297.9
1996	123.9	296.9
1995	123.5	296.7
1994	124.4	294.6
1993	121.4	291.6
1992	116.7	288.5
1991	125.1	297.5
1990	126	298.6
1989	124.4	296
1988	125.2	296.5
1987	124.4	295.6
1986	124.9	295.8
1985	122.7	292.8
1984	123.9	293.4
1983	122.5	290.1
1982	124.7	294.4
1981	123.3	294.8
1980	123.7	294.5
1979	122.3	294.1
1978	121.2	292.4
1977	120.6	293.4
1976	121.1	290.8
1975	118.6	290.7
1974	119.7	291.5
1973	123.3	293
1972	120.2	290.7
1971	120.4	291.2
1970	118.5	288.9
1969	120.9	290.4
1968	118.9	289.1
1967	118.6	288.4
1966	116.5	290.5
1965	116.5	288.1
1964	112.5	286.2
1963	114.6	286.4
1962	119	291.2
1961	121.9	292.9
1960	120.7	292.8
1959	120.3	291.9
1958	121.8	293.3
1957	119.8	290.8
1956	119.9	291.5
1955	117.5	292.4
1954	119.9	290
1953	118.5	291.4
1952	119.9	291.7
1951	119.6	291.7
1950	119.7	291.8

CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100

年份	澳大利亚	印度尼西亚
2015	134116.5–149.2	308295.7–315.1
2016	134.8118.2–149.5	307.5296.9–315.6
2017	136.1119.3–149.5	308.4295.5–315.6
2018	135.8118.4–151.4	308.9296.4–316.6
2019	136.6120.4–151.6	309.9297.8–316.7
2020	136119.8–151.4	310.9299–318.6
2021	135.6118.6–151.2	310.4298.7–316.4
2022	138.6121.4–155.1	311.4300–319.6
2023	139.9123.6–155.2	311.4300.1–320.6
2024	141122.4–156.1	313.2302–321.2
2025	140.9121–159.3	312300.2–321.9
2026	139.4121.9–157.8	312.6299.9–322.8
2027	140.4123.7–156	312.7301–321.6
2028	141.8125.4–158.7	313.8302.4–321.9
2029	143.3126–159.6	315.5303.9–324.1
2030	140.1125.4–156.4	314.2303.1–322.6
2031	141.6124.9–156.9	314.4301.6–321.9
2032	144.6128.6–162.1	316.9304.8–325.8
2033	144.5127.7–159.2	316.6305.4–323.3
2034	145129.2–161.3	315.4303.9–323.9
2035	146.5128.8–161.8	316.3305.6–327.9
2036	146.9128–161.8	317.7305.2–326.2
2037	146.6130.1–161.6	318.1306.6–325.2
2038	148.2131.2–164	319.3307.6–326.7
2039	146.9130.3–163.4	319.4307.7–326.7
2040	147.9130.6–164.6	318.5306.5–329
2041	147.6130.5–165.9	320.2308.3–328
2042	148.2129.2–166.5	320308.7–329.2
2043	148.9133.1–164.5	318.6306.6–327.8
2044	151135.2–166.3	321309–329.6
2045	149.3130.9–164.3	320.8308.6–329.8
2046	151.2135.4–168	322.8308.8–331
2047	153.5132.9–169.5	323.2308.8–333
2048	154.1135.2–171.4	322.3310.5–332.3
2049	153.4137.4–170.1	323.8311.6–334.1
2050	152.3133–170.6	323.3310.3–333.5
2051	154.5135.1–171.8	323.6311.2–334.4
2052	154.7134.9–175.7	325.1311.7–334.7
2053	153.8131.8–173	323.9310.9–333.8
2054	152.8134.4–172.4	324.4311.9–335.4
2055	155.2138.1–174.8	325.3312.6–335
2056	157139.6–173.6	325.9312.4–337.2
2057	156.3137.4–172.3	326.9311.9–335.2
2058	158.3135.3–176.6	326.4313–336.3
2059	157.9138.9–174.7	326.4313.9–337.8
2060	158.4140.3–176.8	329.5314.9–338.2
2061	158.8139.6–175.2	327.9313.6–336.9
2062	156.1137.8–172.7	327.6312.4–339.1
2063	160.2140–178.6	327.6313.9–339.4
2064	159.3140.5–177.9	328.8314.4–338.6
2065	156.7136.6–177.5	327.6314.3–337.9
2066	161.6142–180.6	328.6314.7–338.5
2067	162.5141.6–183.1	328.8314.3–338
2068	162.4140.7–180.1	329.8314.4–339.9
2069	162.6143.3–181	329.5315.5–339.3
2070	161.4140.4–180.3	328.6315.1–338.8
2071	162.1142–181.9	331.4315.5–340.4
2072	162.2142.3–179.6	330.3315.9–339.4
2073	163.8144.6–182.6	331.4317.7–341
2074	162.2142.8–181.6	329.9316.8–341.1
2075	163.1143–180.9	330.5315.2–340.2
2076	163.2141.1–181.9	331.5316.2–341.2
2077	163.1141.8–181.8	332315.9–341.8
2078	163.9145.8–181.3	331.4318.2–340.9
2079	163.3143.1–186	331.5316.6–341.5
2080	163142.7–183.3	332.4317.4–343.2
2081	165.8142.9–185.5	332.3318.4–341.8
2082	164.6145–182.6	332.8317.8–340.4
2083	164.2141.3–187	333.1318.7–342.6
2084	165.6140.7–187.4	333317.8–342.7
2085	167.2143.9–187.5	332.6318.1–342.7
2086	166.8143.2–186.2	333.1318.9–342.3
2087	165.2142.9–189.1	332.6318–343.2
2088	167.5146–187.8	334.5319.5–343.1
2089	166.3146.9–184.2	333.6319–342.6
2090	168.6145–188.3	333.3319.6–343.3
2091	168.3145.8–186.5	334.5318.2–343.9
2092	167.4144.8–185.2	335.1319.7–343.6
2093	168.2146–191.5	333.9320–344.9
2094	169146.8–187.2	335.6320.4–342.8
2095	169.5146.9–189.1	335.4319.7–343
2096	170.2145.3–192.8	334.3319.4–346.1
2097	168.2145.9–187.4	334.2319.5–343.3
2098	169.7149.4–190.8	334.9319.4–343.4
2099	167.1147.5–187.7	334.4319.4–344.6
2100	169.9149.9–190.1	334.7318.7–343.3

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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

澳大利亚与印度尼西亚对比

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经济

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政治

冲突

冲突死亡人数澳大利亚：2022 年为 0 人死亡印度尼西亚：2022 年为 46 人死亡