西班牙与泰国：热带夜

2014 年热带夜：西班牙为 16.8 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 269.6 夜，是西班牙的 17 倍。

每年夜数 · CMIP6

西班牙泰国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 年西班牙为 51.6 夜，泰国为 320.8 夜。

逐年数据

每年夜数 · CMIP6

年份	西班牙	泰国
2014	16.8	286.4
2013	17.9	289.1
2012	16.4	286.6
2011	16.2	286.4
2010	17.5	286
2009	16.2	286.9
2008	16.5	284.8
2007	15.3	283.2
2006	17.6	284.3
2005	16.5	281.7
2004	16.4	287.5
2003	14.5	279.3
2002	14.9	280
2001	15.6	285.5
2000	13.8	283.4
1999	13.9	282.5
1998	13.5	282.7
1997	12.7	284.8
1996	12.9	279.8
1995	11.4	278.7
1994	12.1	280.8
1993	11	275.6
1992	9.5	268.8
1991	12.3	276.7
1990	13.1	279.2
1989	11.5	278.4
1988	12.3	279.6
1987	11.1	277.9
1986	9.2	277.5
1985	8.9	276
1984	8.9	277.9
1983	9.5	273.9
1982	10	275.7
1981	10.1	277.8
1980	9.6	277.9
1979	10.5	278
1978	11.1	276
1977	9.7	277.3
1976	8.3	275.6
1975	8.7	274.4
1974	10	276
1973	8.9	280.6
1972	9.6	273.9
1971	8.4	273.2
1970	8	276
1969	9.2	274.8
1968	9	277
1967	8.8	270.3
1966	8.1	274.4
1965	7.6	275.8
1964	10.1	271.9
1963	8.7	274.7
1962	9.5	275.4
1961	9.4	278.5
1960	9.3	276.2
1959	10.2	274.4
1958	9.7	278.7
1957	9.5	277.4
1956	10.5	277
1955	10.4	274.6
1954	9.8	275
1953	9	275.4
1952	10.5	275.1
1951	10.2	277.5
1950	11.8	276.2

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

年份	西班牙	泰国
2015	20.413.3–30.2	290.6272.2–305
2016	20.113.2–33.4	287.1269.8–306.2
2017	21.313.3–31.1	290273.8–302.8
2018	22.815.6–34.2	292.6275.1–308.7
2019	22.714.6–33.6	291.2272.8–306.7
2020	22.314.2–32.8	292.4272.2–307.8
2021	23.114.2–34.2	294.2276.3–308.5
2022	26.515–37.6	294.8277.2–311.9
2023	25.215.5–35.2	296.1281.9–310.2
2024	25.216.8–37	291.7275.5–307.8
2025	24.914–36.5	294276.7–306.3
2026	24.814.9–36.8	296278–309.3
2027	26.817–38.3	295.8276.3–311.1
2028	27.315.8–39.5	297279.3–315.1
2029	2816–41.8	300.3278.7–315
2030	27.816.8–38	297.7280.2–312.5
2031	2817–39	300.8282.8–317.1
2032	29.720.5–40.3	297.2280.9–311.4
2033	28.920–39.2	300281.9–315.8
2034	31.419.3–44.8	300.8279–318.4
2035	30.619.2–43.3	298.6281.5–317.8
2036	30.721.4–43.8	300.4279.9–316.9
2037	31.319.8–41.7	299.8280–315.1
2038	31.621.5–45	304.8286.6–319.3
2039	31.723–43.8	300.9281.9–317
2040	30.119–46	301.6284.5–315.7
2041	30.419.5–43.3	303.1285.1–318.8
2042	31.521.5–43.1	303.8290–318.3
2043	3219.4–47.6	302285.8–317.9
2044	3221.8–45.9	304.3286.3–318.8
2045	34.122.7–47.8	307.1287.7–324.2
2046	33.921.1–47.3	305.9285.2–321
2047	34.322.3–49	306.6289.5–321.5
2048	35.723.1–46	309.4288.9–325.7
2049	37.324.6–52.2	308.1287.2–324.1
2050	37.425.7–52.7	307.5291–321.5
2051	36.322.6–51.6	312.8294.8–326
2052	38.224.4–51.2	310.9291.2–323.4
2053	36.325.2–51.9	308.3289.5–323.3
2054	3623–53	308.8292.8–322.3
2055	39.126.3–52.3	308.6290.6–325.1
2056	38.227–52.8	311.3294.9–326.3
2057	40.526.6–53.5	308.5286.7–326.4
2058	41.827–54.8	308291.1–325.1
2059	39.225.5–55.2	312.7295.8–325.3
2060	41.929.2–55	313.1294.6–328.6
2061	42.629.2–58.6	314.4289.5–331.1
2062	41.429–55.5	311.4293.4–330.3
2063	45.225.2–59.7	314.8296.9–327.3
2064	42.625.1–57.5	312.5295.4–330
2065	40.825.4–61.7	309.6293.1–329.3
2066	4228.9–57.3	312.1292.6–328
2067	45.531.3–61.4	311.2289.6–329.4
2068	41.528.4–58.9	310.8292.4–330.6
2069	4630–59.7	315.5296.1–329.5
2070	45.430.7–63.3	314.2292.9–330.7
2071	45.931.7–62.2	313.8296.4–330.8
2072	47.130.2–62.5	314.8296–329.6
2073	46.630.5–63.8	316.5299.9–332.1
2074	43.429.5–61.4	317.2295–333.8
2075	45.529–60.5	317.2295.3–331.4
2076	46.930.2–64.9	317.4299.8–335
2077	46.129.6–63	317.5297.3–335.9
2078	4729.9–67.3	315.9297.1–331.6
2079	43.731.4–63.5	318.5300.5–332.3
2080	46.830–63.9	319.8297.4–337.5
2081	4733.2–65	317.7299.5–334.9
2082	4834.3–63.4	317.9294.8–333
2083	49.932.4–65.9	315297.8–332.9
2084	49.234.7–65.4	316295.5–330
2085	5037.5–66	322.6300.8–334.7
2086	5133.7–67.6	319.4295.2–335.2
2087	5236–70.2	320.2302.2–334.7
2088	52.133.4–72.5	321.4299.8–334.8
2089	50.936.8–67.7	318.9296.4–338.1
2090	52.832.7–72.3	317.6304–337.4
2091	54.133.4–70	320.1299.8–336.1
2092	51.532.8–66.4	316.3298–336.4
2093	48.734.9–66.7	316.1297.7–333.7
2094	50.331.4–70.1	323.4301.8–337.3
2095	52.733.7–72.2	322.9302.4–338.9
2096	54.134.9–72.5	319.6302.8–336.7
2097	53.136.1–71.9	319.8299.1–336
2098	5234.3–70.7	320.5303.9–336
2099	55.737–70.7	319.9303.1–334.4
2100	51.634.3–71.2	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

西班牙与泰国对比

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冲突

冲突死亡人数西班牙：2022 年为 0 人死亡泰国：2022 年为 46 人死亡