孟加拉国与巴西：35 °C 以上天数

2014 年35 °C 以上天数：孟加拉国为 19.4 天，巴西为 18.8 天（CMIP6 气候模型中位数模拟）。 2014 年孟加拉国的数值较高，高出 0.6 天，是巴西的 1.03 倍。

每年天数 · CMIP6

孟加拉国巴西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 2014 年超过巴西以来，孟加拉国的数值一直更高。
根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年孟加拉国为 56.8 天，巴西为 80.8 天。

逐年数据

每年天数 · CMIP6

年份	孟加拉国	巴西
2014	19.4	18.8
2013	14.1	21.8
2012	17	19.5
2011	13.4	19.6
2010	16.9	15.4
2009	14.4	16.6
2008	14	14.6
2007	14.3	11.6
2006	17.8	12
2005	16.1	14.2
2004	14.7	16.2
2003	15.9	15.5
2002	17.7	12.4
2001	16.9	16.1
2000	16.6	13.5
1999	15.6	11.4
1998	15.4	12.8
1997	16.8	11.7
1996	14.2	10
1995	13.2	8.8
1994	15.2	9.1
1993	12.4	7.8
1992	8	5.6
1991	18.8	8.5
1990	18.5	13.3
1989	13.7	10.2
1988	13.5	9.7
1987	17.9	9.4
1986	17.9	9.9
1985	14.4	7.5
1984	19	7
1983	14.6	6.4
1982	16.3	8.5
1981	15.4	9.4
1980	14.5	8.1
1979	16.7	9.1
1978	15	9
1977	14.1	8
1976	17.5	6.9
1975	14.4	6.8
1974	17.3	7.1
1973	17	7.3
1972	15.7	7
1971	16.9	5.8
1970	16.5	6.7
1969	15.5	6.9
1968	16.2	6.4
1967	13.5	6.4
1966	15.6	6.4
1965	15.4	6
1964	14.7	5.9
1963	16.1	4.9
1962	19.1	7.2
1961	18	7.5
1960	19.2	7.8
1959	18	7.5
1958	17.5	7.9
1957	18.1	8
1956	19.2	6.9
1955	16.9	8.6
1954	19.4	8.3
1953	21	6.8
1952	17.2	7.2
1951	19.9	7.2
1950	22.3	7.7

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

年份	孟加拉国	巴西
2015	17.85.5–30.2	18.56.9–38.8
2016	17.53.9–31.5	18.57–35.9
2017	14.14.8–29	19.47.7–41.4
2018	13.92–31	19.87.6–41.4
2019	14.93.9–28	218.9–47.1
2020	14.94.1–36.3	21.98.7–43.2
2021	17.25.6–33	24.69.7–51.8
2022	17.21.4–36.6	23.410–51.2
2023	18.16.6–32.2	25.710.5–55.5
2024	21.24.9–36.6	27.713.3–51.1
2025	16.73.9–36.8	27.210.5–57.6
2026	18.36.7–34	24.48.1–53.1
2027	18.33.5–38.2	28.28.9–55.7
2028	18.64.2–33.2	29.411.9–61.9
2029	18.22.2–34.9	33.916.4–66.7
2030	174.6–31.3	28.211.6–56.6
2031	153.9–32.1	35.315.2–70.7
2032	19.33.2–34.3	35.616.6–67.3
2033	17.53.9–32	3113.5–63.2
2034	16.24–29.3	31.214.1–75.1
2035	16.26.6–31.6	30.814.4–68
2036	17.76.3–36.6	32.413.7–58.7
2037	20.65.7–39.1	39.419.6–66.5
2038	21.96.6–38.5	38.215.4–71.3
2039	21.45.1–43.2	37.214.6–75.5
2040	22.86–48.8	38.518.6–76.2
2041	19.44.7–44.5	41.819.9–76.6
2042	22.86.3–50.6	39.917–86.1
2043	25.17.2–47	37.614.9–81.2
2044	24.77.9–45	38.416.1–84.4
2045	24.110–42.5	40.420.4–74.9
2046	28.57.8–55.7	5023.7–86.7
2047	26.47.4–50.6	43.522.9–86.4
2048	30.28–52.9	50.424.6–96.2
2049	29.511.3–54.1	49.823.9–90.2
2050	26.810.4–47.8	46.922–92.7
2051	32.713.4–54.3	47.324.9–95.6
2052	29.313–59.8	54.728.7–97.5
2053	26.79.4–54.9	47.122.6–92.3
2054	29.910.9–57.7	45.221.6–92.2
2055	34.613.5–60.8	52.228.6–103.8
2056	34.215.2–59	53.223.6–110.8
2057	3912.3–72.8	50.620.2–94.7
2058	38.917–69.9	55.325–117.3
2059	35.914.6–66	61.229–118.5
2060	36.818.6–65.3	6531.1–111.3
2061	38.919.6–65.9	54.123.5–115.4
2062	35.115.8–63.8	54.924.7–127.7
2063	42.114.5–66.9	59.428.6–112.9
2064	37.317–62.7	54.828.7–106.1
2065	35.618.5–60.2	62.330.3–119.5
2066	35.812.3–64.7	62.330.6–113.5
2067	32.612.9–61.8	60.926.9–113.1
2068	40.717.5–76.4	66.730.1–119.7
2069	43.915.7–73.3	60.631.5–113.8
2070	33.714.7–63	59.932.1–124.8
2071	42.817.7–73.9	64.433.8–111
2072	42.718.2–68.1	6830.5–128.1
2073	44.423.8–82.3	72.736–127.6
2074	4214.1–71.6	68.832.6–125.7
2075	41.515.2–70.1	67.832.7–116.4
2076	39.914.1–81.2	67.933.7–124.9
2077	42.723.6–83.6	72.535.5–128.9
2078	44.424.7–79.2	7336.7–132
2079	43.923.1–74.7	69.233.6–125.5
2080	52.224.5–83	67.834.9–122.2
2081	50.628.6–83	70.936.9–140.4
2082	49.322.9–92.1	70.640.7–125.8
2083	49.218.9–88.7	75.735.7–152.5
2084	50.421.6–92.6	7734.1–140.3
2085	49.920.5–104.5	83.937.2–147.8
2086	50.922.5–100.6	73.334.6–141
2087	53.125–82.1	78.439.2–144.2
2088	46.314.7–108.4	79.335.1–152
2089	52.722.8–107.6	75.239–146.4
2090	55.216.3–89.2	78.341.8–148.6
2091	51.331.2–98	8135.2–147.9
2092	55.422.1–101.2	7936.6–148
2093	47.718.8–94.6	7739.3–148.7
2094	51.225.3–87.3	7939.6–144.5
2095	57.624.4–95.1	88.636.5–155.9
2096	50.820–91.8	75.736.1–152.8
2097	48.923.7–96	7936.7–135.6
2098	52.926.4–94.7	82.737.9–166.4
2099	48.722.9–82	77.941–144.7
2100	56.822.9–95.8	80.840.2–141.3

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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

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冲突

冲突死亡人数孟加拉国：2022 年为 2 人死亡巴西：2022 年为 1,480 人死亡