危地马拉与墨西哥：35 °C 以上天数

2014 年35 °C 以上天数：危地马拉为 16.9 天，墨西哥为 32.8 天（CMIP6 气候模型中位数模拟）。 2014 年墨西哥的数值较高，高出 15.8 天，是危地马拉的 1.94 倍。

每年天数 · CMIP6

危地马拉墨西哥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，墨西哥的数值都更高。
根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年危地马拉为 47.9 天，墨西哥为 67.8 天。

逐年数据

每年天数 · CMIP6

年份	危地马拉	墨西哥
2014	16.9	32.8
2013	15.5	31.6
2012	15.4	30.4
2011	14.9	30.5
2010	17.5	31.8
2009	13.6	30.6
2008	14.5	30.7
2007	15.2	29
2006	14.5	28.6
2005	14.1	29.2
2004	13.7	29.4
2003	13.4	27.2
2002	13.5	27.8
2001	14.5	29.6
2000	12.9	27.9
1999	12.6	26.4
1998	11	27
1997	11.9	26.7
1996	10.7	25.7
1995	9	25.1
1994	10.3	24.1
1993	11	21.9
1992	8.9	20.9
1991	12.5	26.5
1990	13.4	26.5
1989	10.6	24
1988	10.1	23.9
1987	10	25.7
1986	12.2	24.1
1985	8.2	21.9
1984	7.4	22
1983	9	20.7
1982	11.1	22.1
1981	12	23.4
1980	8.5	22.5
1979	10.9	24
1978	8.5	22.5
1977	11	22.8
1976	10.3	22.2
1975	9	21.3
1974	10.5	22.6
1973	8.8	21.7
1972	10.2	22.5
1971	7.9	21.2
1970	9.2	22.3
1969	10.1	23.1
1968	8.6	21.7
1967	8.1	22.8
1966	8.2	21.9
1965	7.4	20.3
1964	9.2	20.6
1963	9.6	22.1
1962	10.1	22.7
1961	10.6	23.5
1960	10	23.2
1959	9.5	23.7
1958	9.3	22.9
1957	9.3	22.3
1956	8.7	22.8
1955	9.9	23.1
1954	8.9	22.1
1953	9.2	22.5
1952	9.6	21.4
1951	8.6	22.1
1950	8.5	22.3

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

年份	危地马拉	墨西哥
2015	19.39.9–31.9	35.225.3–48.5
2016	16.19.8–23.4	33.924.5–44.6
2017	17.98.3–27.3	35.424.4–46.9
2018	17.610–28.9	3625.2–47.9
2019	16.88.8–30.9	36.726–51.6
2020	19.29.2–30	37.325.8–50.6
2021	18.311–28.2	37.726.7–51.1
2022	20.211.8–31.7	37.225.5–52
2023	18.210.7–35.1	38.426.6–52.5
2024	23.112.3–35.2	42.228.1–55.6
2025	21.610.6–36	39.627.6–53.3
2026	19.59.8–35.1	39.126.4–51.8
2027	19.310.5–34.7	37.926.5–53.6
2028	21.711.2–40.8	40.127.8–55.7
2029	22.911.9–38	41.727.6–56.7
2030	199–33.2	39.325.9–53
2031	20.111.1–36.5	4127.8–56.3
2032	23.113–35.3	42.527.6–55.9
2033	20.512.3–33.2	42.530.2–57.1
2034	21.610.3–38.1	40.427.8–56.6
2035	22.211.8–31.9	40.528.2–56.9
2036	23.513.6–33.7	41.428.9–55.3
2037	25.114.3–37.8	44.230–59.6
2038	26.613.9–40.6	45.130.6–59.7
2039	26.514.9–41.2	4732.9–63.1
2040	24.811.2–37.4	46.933.9–61.8
2041	22.411.3–40.7	44.530.9–60.8
2042	26.412–41.9	48.633.8–64.3
2043	26.815.7–50.1	46.632.5–63.4
2044	25.912.8–48	47.234.1–63.7
2045	26.412.9–47.2	48.333.7–65.3
2046	30.916.1–47.6	5035.6–64.3
2047	29.918.1–49	51.537.2–67
2048	28.816.9–44	50.235.3–67.1
2049	32.716.4–52.8	52.336.1–69.5
2050	27.819.1–43.8	50.234.4–66.5
2051	27.717.7–50.8	50.436.9–66.9
2052	32.917.9–52.1	5235.5–68.6
2053	30.117.5–55.3	5336.9–70.2
2054	30.818.1–49.5	52.835.8–69.3
2055	3219.4–52.4	54.437.3–71.1
2056	30.316.2–54	52.837.6–69.6
2057	32.416.5–52.3	55.937–72
2058	28.318.9–55.3	51.536.7–70.5
2059	36.220.3–55.5	55.340.6–72.6
2060	36.619.7–57.2	55.739.5–73.4
2061	36.321.9–58.2	57.642.1–73.9
2062	33.217.3–62.6	5535.6–77
2063	36.219.3–60.3	57.641.7–77.2
2064	36.120.6–55.1	58.242.8–75
2065	40.717.2–60.3	59.540.3–79
2066	37.722.4–58.7	57.940.6–76.3
2067	33.120.8–57.4	5841.9–76.7
2068	39.626.6–57.4	60.343.2–79.1
2069	42.221–65.7	58.339.8–80.5
2070	39.319.3–58.4	60.239.8–80.8
2071	40.523.2–62.5	61.344.6–81.4
2072	4422.5–70.5	63.144–80.9
2073	44.826.3–67.1	62.842.3–85.4
2074	37.919–60.3	6043.5–80.9
2075	41.122.5–67.1	60.842.2–80.8
2076	40.123.5–60.6	61.242.4–83.6
2077	38.719.4–65.5	60.843.2–79.8
2078	41.823.6–64.2	64.744.4–86.4
2079	46.120.5–67.8	6646.1–87.4
2080	42.924.9–62.6	64.744–84.6
2081	42.825–65.8	64.845.7–84.4
2082	41.620.2–63.7	63.643.2–82.2
2083	39.921.5–70.8	65.140.9–89.7
2084	44.125.4–73.9	65.446.4–86.3
2085	4623.7–72.1	65.744.8–85.9
2086	38.521–70.1	64.644.8–85.1
2087	44.324.3–73.9	64.644.4–84.2
2088	43.522.5–72.2	6545.7–86.5
2089	37.323.7–68.2	66.644.2–87.9
2090	41.624.1–66	66.246–89
2091	46.824.7–77.3	6946.6–92.4
2092	49.628.3–70.8	67.746–86.5
2093	43.626.5–76.4	66.846.9–91.6
2094	4527.1–75.6	67.546.7–92.1
2095	46.223.2–75.6	70.149.8–93.9
2096	43.224.5–77.5	68.547.9–91.7
2097	44.126.5–64.9	67.346–89.7
2098	49.823.6–84.5	71.348.2–95.2
2099	47.429.2–79.3	68.349.1–91.5
2100	47.924.4–79.7	67.846.4–88.6

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须知

一年中最高气温超过 35 °C 的天数，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

危地马拉与墨西哥对比

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冲突

冲突死亡人数危地马拉：2022 年为 0 人死亡墨西哥：2022 年为 14,210 人死亡