玻利维亚与危地马拉：35 °C 以上天数

2014 年35 °C 以上天数：玻利维亚为 21.5 天，危地马拉为 16.9 天（CMIP6 气候模型中位数模拟）。 2014 年玻利维亚的数值较高，高出 4.6 天，是危地马拉的 1.27 倍。

每年天数 · CMIP6

玻利维亚危地马拉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 2011 年超过危地马拉以来，玻利维亚的数值一直更高。
根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年玻利维亚为 73.3 天，危地马拉为 47.9 天。

逐年数据

每年天数 · CMIP6

年份	玻利维亚	危地马拉
2014	21.5	16.9
2013	22.1	15.5
2012	21	15.4
2011	20.6	14.9
2010	16.6	17.5
2009	17.8	13.6
2008	14.8	14.5
2007	11.5	15.2
2006	12	14.5
2005	12.8	14.1
2004	15.3	13.7
2003	15.6	13.4
2002	12.3	13.5
2001	16.4	14.5
2000	13.6	12.9
1999	10.8	12.6
1998	13.4	11
1997	13.6	11.9
1996	11.7	10.7
1995	11.3	9
1994	10.1	10.3
1993	10	11
1992	7.1	8.9
1991	10.8	12.5
1990	14.8	13.4
1989	12.1	10.6
1988	11.8	10.1
1987	11.4	10
1986	11	12.2
1985	9.5	8.2
1984	8.4	7.4
1983	8	9
1982	11.5	11.1
1981	12.3	12
1980	10	8.5
1979	11.9	10.9
1978	11.6	8.5
1977	9.7	11
1976	8.1	10.3
1975	8.5	9
1974	8.1	10.5
1973	8.3	8.8
1972	8.3	10.2
1971	7.1	7.9
1970	8.2	9.2
1969	9.3	10.1
1968	8	8.6
1967	8.1	8.1
1966	7.1	8.2
1965	8.4	7.4
1964	7.6	9.2
1963	7.6	9.6
1962	9.1	10.1
1961	9.9	10.6
1960	8.2	10
1959	10.8	9.5
1958	8.7	9.3
1957	8.9	9.3
1956	8.3	8.7
1955	10.7	9.9
1954	9	8.9
1953	10	9.2
1952	10	9.6
1951	8.7	8.6
1950	8.6	8.5

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

年份	玻利维亚	危地马拉
2015	22.611.7–37.8	19.39.9–31.9
2016	19.69.1–36.5	16.19.8–23.4
2017	21.58.9–36.7	17.98.3–27.3
2018	21.58.9–38.3	17.610–28.9
2019	22.711.8–45.6	16.88.8–30.9
2020	26.411.2–41.3	19.29.2–30
2021	2812.4–49.3	18.311–28.2
2022	23.410.4–43.8	20.211.8–31.7
2023	25.512.4–45.1	18.210.7–35.1
2024	28.816.1–49.7	23.112.3–35.2
2025	29.313.1–50.6	21.610.6–36
2026	26.515.1–42.3	19.59.8–35.1
2027	31.38.4–51.1	19.310.5–34.7
2028	28.113.9–51.3	21.711.2–40.8
2029	32.617.1–52.9	22.911.9–38
2030	3011.9–54.5	199–33.2
2031	34.616.6–58.9	20.111.1–36.5
2032	36.515.8–54.2	23.113–35.3
2033	33.616.5–53.2	20.512.3–33.2
2034	33.318–58.5	21.610.3–38.1
2035	31.115.9–54.1	22.211.8–31.9
2036	33.117.6–54.2	23.513.6–33.7
2037	37.222.1–54.3	25.114.3–37.8
2038	38.118.7–55.8	26.613.9–40.6
2039	34.119.3–59.2	26.514.9–41.2
2040	39.219–62.6	24.811.2–37.4
2041	41.225.4–61.5	22.411.3–40.7
2042	39.220.9–59.5	26.412–41.9
2043	35.217.5–67.1	26.815.7–50.1
2044	39.520.9–63.9	25.912.8–48
2045	40.826.7–61.6	26.412.9–47.2
2046	45.628.2–64.6	30.916.1–47.6
2047	43.823.7–65.8	29.918.1–49
2048	45.328.5–74.1	28.816.9–44
2049	4927.1–76.5	32.716.4–52.8
2050	42.825.8–68	27.819.1–43.8
2051	44.229.2–75.5	27.717.7–50.8
2052	50.932.1–74.9	32.917.9–52.1
2053	41.827–67.7	30.117.5–55.3
2054	40.221.9–74.4	30.818.1–49.5
2055	45.626.1–85.5	3219.4–52.4
2056	48.123.6–82.3	30.316.2–54
2057	4927.5–74.9	32.416.5–52.3
2058	50.527.2–89.4	28.318.9–55.3
2059	54.529.4–84.7	36.220.3–55.5
2060	57.228.4–86.2	36.619.7–57.2
2061	52.626.1–90.6	36.321.9–58.2
2062	47.328.2–92	33.217.3–62.6
2063	54.529.6–81.8	36.219.3–60.3
2064	5528.9–84.6	36.120.6–55.1
2065	54.929.4–95.5	40.717.2–60.3
2066	53.332.8–82.8	37.722.4–58.7
2067	57.428.4–84.1	33.120.8–57.4
2068	60.933.3–92.3	39.626.6–57.4
2069	55.330.9–90.7	42.221–65.7
2070	53.233.5–97.7	39.319.3–58.4
2071	5730–88.1	40.523.2–62.5
2072	58.130.9–101	4422.5–70.5
2073	65.838.3–102.6	44.826.3–67.1
2074	61.835.6–97.6	37.919–60.3
2075	60.930.1–96.3	41.122.5–67.1
2076	59.534.3–95.5	40.123.5–60.6
2077	61.636.2–95.2	38.719.4–65.5
2078	66.436.8–108.9	41.823.6–64.2
2079	58.834.7–91.8	46.120.5–67.8
2080	59.138.3–101.4	42.924.9–62.6
2081	64.141.8–102.5	42.825–65.8
2082	65.237.5–93.5	41.620.2–63.7
2083	64.833.8–103.2	39.921.5–70.8
2084	61.735.7–100.7	44.125.4–73.9
2085	65.239.9–106.6	4623.7–72.1
2086	65.532.2–113.3	38.521–70.1
2087	69.839.1–103.7	44.324.3–73.9
2088	72.237.7–118.1	43.522.5–72.2
2089	67.939–103.4	37.323.7–68.2
2090	7045.4–117.1	41.624.1–66
2091	68.541.9–112.5	46.824.7–77.3
2092	69.236.7–108.8	49.628.3–70.8
2093	70.540.5–111.4	43.626.5–76.4
2094	66.343.1–97.4	4527.1–75.6
2095	73.137.4–109.3	46.223.2–75.6
2096	65.638.9–112.7	43.224.5–77.5
2097	68.436.2–96.9	44.126.5–64.9
2098	71.741.5–128.9	49.823.6–84.5
2099	72.440.6–118.3	47.429.2–79.3
2100	73.341.4–111.8	47.924.4–79.7

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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

玻利维亚与危地马拉对比

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冲突

冲突死亡人数玻利维亚：2022 年为 2 人死亡危地马拉：2022 年为 0 人死亡