伊朗与泰国：热带夜

2014 年热带夜：伊朗为 90.8 夜，泰国为 286.4 夜（CMIP6 气候模型中位数模拟）。 2014 年泰国的数值较高，高出 195.6 夜，是伊朗的 3.15 倍。

每年夜数 · CMIP6

伊朗泰国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，泰国的数值都更高。
根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年伊朗为 124.4 夜，泰国为 320.8 夜。

逐年数据

每年夜数 · CMIP6

年份	伊朗	泰国
2014	90.8	286.4
2013	90.6	289.1
2012	90.3	286.6
2011	89.8	286.4
2010	87	286
2009	87.2	286.9
2008	88	284.8
2007	87.9	283.2
2006	88.2	284.3
2005	87.1	281.7
2004	86.4	287.5
2003	85.9	279.3
2002	87.7	280
2001	86.6	285.5
2000	86.5	283.4
1999	85.1	282.5
1998	83.8	282.7
1997	84.3	284.8
1996	82.4	279.8
1995	81.6	278.7
1994	80.6	280.8
1993	77.7	275.6
1992	77	268.8
1991	81.9	276.7
1990	83.1	279.2
1989	81.7	278.4
1988	80.4	279.6
1987	79.8	277.9
1986	80.1	277.5
1985	79.7	276
1984	78.8	277.9
1983	75.5	273.9
1982	77.9	275.7
1981	80.2	277.8
1980	79.4	277.9
1979	80.2	278
1978	78.1	276
1977	77.8	277.3
1976	77.2	275.6
1975	76.6	274.4
1974	76.4	276
1973	76.9	280.6
1972	77.4	273.9
1971	75	273.2
1970	75.3	276
1969	75.6	274.8
1968	76.3	277
1967	76.1	270.3
1966	75.5	274.4
1965	75.3	275.8
1964	75.3	271.9
1963	76.4	274.7
1962	77.5	275.4
1961	77.7	278.5
1960	77.6	276.2
1959	76.8	274.4
1958	78.4	278.7
1957	78.2	277.4
1956	76.2	277
1955	76.5	274.6
1954	77.6	275
1953	77.3	275.4
1952	78.2	275.1
1951	76.6	277.5
1950	77.7	276.2

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

年份	伊朗	泰国
2015	94.482.7–106	290.6272.2–305
2016	94.183.1–105.3	287.1269.8–306.2
2017	93.981.7–104	290273.8–302.8
2018	94.183–106.3	292.6275.1–308.7
2019	95.183.4–105.8	291.2272.8–306.7
2020	95.985.5–107.5	292.4272.2–307.8
2021	97.286–107.7	294.2276.3–308.5
2022	96.285.2–108.3	294.8277.2–311.9
2023	98.485.7–110.6	296.1281.9–310.2
2024	9885.1–110.5	291.7275.5–307.8
2025	98.787.2–110.5	294276.7–306.3
2026	99.186.7–111.7	296278–309.3
2027	100.288.7–112.1	295.8276.3–311.1
2028	99.686.2–111.6	297279.3–315.1
2029	99.386.7–109.9	300.3278.7–315
2030	100.889.8–111.6	297.7280.2–312.5
2031	102.990.1–114.8	300.8282.8–317.1
2032	101.289–113.9	297.2280.9–311.4
2033	102.889.9–115.1	300281.9–315.8
2034	104.690.7–117.3	300.8279–318.4
2035	10592.1–116.2	298.6281.5–317.8
2036	103.591.4–115.2	300.4279.9–316.9
2037	10693.1–119.4	299.8280–315.1
2038	105.993.2–116.5	304.8286.6–319.3
2039	104.392.9–116.6	300.9281.9–317
2040	105.592.3–118.4	301.6284.5–315.7
2041	104.892.5–116.4	303.1285.1–318.8
2042	107.793.4–120.7	303.8290–318.3
2043	10692.9–118.8	302285.8–317.9
2044	106.893.6–121.2	304.3286.3–318.8
2045	108.795.1–121.8	307.1287.7–324.2
2046	109.296.1–121.9	305.9285.2–321
2047	110.596.9–123.3	306.6289.5–321.5
2048	111.498.6–124	309.4288.9–325.7
2049	11095.7–123.4	308.1287.2–324.1
2050	112.199.6–125.1	307.5291–321.5
2051	111.797.6–124.1	312.8294.8–326
2052	11298.3–126	310.9291.2–323.4
2053	111.597.5–124	308.3289.5–323.3
2054	111.899–126.3	308.8292.8–322.3
2055	114.6101.4–128	308.6290.6–325.1
2056	113.1100.2–126.2	311.3294.9–326.3
2057	113.899.9–128.9	308.5286.7–326.4
2058	114.2100–127.7	308291.1–325.1
2059	113.498.9–126.3	312.7295.8–325.3
2060	116.3100.3–129.5	313.1294.6–328.6
2061	115100.5–127.6	314.4289.5–331.1
2062	115.799.7–131.1	311.4293.4–330.3
2063	117103.7–130.3	314.8296.9–327.3
2064	115.1101.7–130.3	312.5295.4–330
2065	117.3102.8–132.3	309.6293.1–329.3
2066	117.7103.7–132.1	312.1292.6–328
2067	119103–133.5	311.2289.6–329.4
2068	118.1104.3–131.4	310.8292.4–330.6
2069	118.4103.8–133.2	315.5296.1–329.5
2070	118.2104.9–132.9	314.2292.9–330.7
2071	119.3105.1–135.3	313.8296.4–330.8
2072	119103.2–135.1	314.8296–329.6
2073	120.6104.9–137.7	316.5299.9–332.1
2074	119.1104.4–134.5	317.2295–333.8
2075	119.7105.9–135.5	317.2295.3–331.4
2076	118.9102.6–137	317.4299.8–335
2077	120.3104.3–135.3	317.5297.3–335.9
2078	119.2105.3–136	315.9297.1–331.6
2079	120.1103.2–135.6	318.5300.5–332.3
2080	120.4106.1–139.5	319.8297.4–337.5
2081	120.5104.3–137.1	317.7299.5–334.9
2082	122.5107.5–137.7	317.9294.8–333
2083	122.6105.8–140.4	315297.8–332.9
2084	123.7107.6–139.1	316295.5–330
2085	121.3106.6–140.6	322.6300.8–334.7
2086	122.1107.9–139.8	319.4295.2–335.2
2087	123.7108–140.7	320.2302.2–334.7
2088	124106.5–142.2	321.4299.8–334.8
2089	124.1109–139.7	318.9296.4–338.1
2090	122.5105.4–141.9	317.6304–337.4
2091	124.3108–140.5	320.1299.8–336.1
2092	125.5110.1–140	316.3298–336.4
2093	124.5109–139.3	316.1297.7–333.7
2094	125108.7–142.9	323.4301.8–337.3
2095	125.3108.5–141	322.9302.4–338.9
2096	125.8109–142.4	319.6302.8–336.7
2097	123.6106.9–141.8	319.8299.1–336
2098	125.8109.4–143.8	320.5303.9–336
2099	123.1107.8–140.1	319.9303.1–334.4
2100	124.4107.9–143.7	320.8301.1–336.7

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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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冲突

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