缅甸与尼日利亚：35 °C 以上天数

2014 年35 °C 以上天数：缅甸为 28.8 天，尼日利亚为 107.4 天（CMIP6 气候模型中位数模拟）。 2014 年尼日利亚的数值较高，高出 78.6 天，是缅甸的 3.73 倍。

每年天数 · CMIP6

缅甸尼日利亚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，尼日利亚的数值都更高。
根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年缅甸为 57 天，尼日利亚为 163.6 天。

逐年数据

每年天数 · CMIP6

年份	缅甸	尼日利亚
2014	28.8	107.4
2013	28	104.3
2012	27.5	104.4
2011	27.4	103.7
2010	27.9	101.1
2009	27.3	99.4
2008	27.2	98.6
2007	25.4	97.4
2006	26.8	97.9
2005	25	97.2
2004	28.3	99.2
2003	26.4	98.2
2002	27.4	98.3
2001	28.4	102.2
2000	26.6	96.3
1999	26.1	92.3
1998	26.4	91.6
1997	26.2	95.2
1996	24.7	89.5
1995	25.5	90.2
1994	24.3	86.1
1993	23.9	83.5
1992	20.5	81.3
1991	28.4	94.2
1990	26.3	95
1989	23.8	89.3
1988	23.9	93.4
1987	25.4	90.4
1986	26.6	93.2
1985	23.6	87
1984	25.8	89.5
1983	23.2	88.5
1982	24	89.6
1981	23.8	91.9
1980	23.5	89.5
1979	25.3	89.8
1978	23.4	88
1977	24.1	88.4
1976	25.6	83.6
1975	22.3	87.3
1974	24.1	84.9
1973	25.9	88.3
1972	23.1	87.1
1971	22.8	84.5
1970	24.2	87.3
1969	23.6	87.1
1968	23.4	84.9
1967	24.1	84.8
1966	23.1	85.7
1965	23.3	85.7
1964	21.7	77.7
1963	23.2	81.7
1962	24.4	89.3
1961	24.9	91.6
1960	26.2	91.4
1959	22.6	88.3
1958	25	89.9
1957	24.1	91.2
1956	25	84.6
1955	24.5	88.4
1954	25.3	88.8
1953	23.5	91.7
1952	26.1	87.9
1951	25	92.1
1950	23.8	88.9

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

年份	缅甸	尼日利亚
2015	28.518.5–40	105.581.2–130.1
2016	27.717.3–38.7	101.478.2–120.6
2017	2818.9–38.5	10680.5–130.9
2018	29.818.6–41.2	105.177.2–129
2019	28.218.2–41.3	104.378.3–130.3
2020	28.616.8–41.4	104.778.2–130.2
2021	29.719.4–40.8	104.885.2–128.6
2022	31.521.7–42.7	111.184.4–135.5
2023	30.319.9–41.6	106.585.6–130.6
2024	31.720.1–43.7	114.493.3–136.4
2025	32.721.3–44.8	112.191.1–132
2026	30.420.3–44.5	108.574.8–133.8
2027	30.620.4–44.2	114.581.7–136.4
2028	31.119–43	113.487.6–141.8
2029	32.720.9–46.4	116.591.5–141
2030	32.619.3–45	117.785.5–145.3
2031	32.721.3–45.2	116.388.2–141.7
2032	32.119.6–45.4	118.785.8–144.2
2033	33.322–43.8	118.490.6–146
2034	31.322–43.5	117.689–144.4
2035	32.620.4–49	12087.5–144.3
2036	33.322.7–46.1	116.889.2–143.5
2037	34.322.6–49.1	124.790.9–151.6
2038	35.824.4–49.9	126.696.2–152.6
2039	34.920.9–49	122.697–147.4
2040	3419.2–51.2	121.193.5–153.7
2041	3724.8–51.9	127.599.5–154.2
2042	36.223–49.9	12896.1–152.5
2043	34.522.6–47.7	124.298.9–149.7
2044	38.222.1–51.2	125.496.3–152.8
2045	35.924.2–50.7	129.499.4–156.4
2046	38.425.2–57.1	135.999.9–158.5
2047	38.824.1–56.1	135.299–159.5
2048	40.323.4–58.7	133.1103.7–160.3
2049	40.625.2–58.1	135.4104.4–161.8
2050	40.226.5–55.3	131.3102–166.4
2051	41.726.7–56.8	131.6106.2–166.5
2052	40.326.3–61.2	139.6101.6–171.1
2053	41.323.6–61.5	135.1105–166.8
2054	42.426.8–60.9	139102.4–172.2
2055	41.428.5–61.9	140113.8–172.2
2056	42.726.5–63	141.8102.8–177.8
2057	43.226.3–63.2	148.8113.3–178.3
2058	44.526.8–63.6	140112–171.9
2059	43.729.1–65.3	142.3114.3–176.6
2060	47.428.3–66	144.3110.6–176.5
2061	46.729.5–64.5	145109.2–180.3
2062	47.126.7–68.6	146111.1–181.8
2063	46.929–66.4	147.1114.5–182.6
2064	47.527.9–66.1	146.4112.8–179.9
2065	42.427.5–62.4	149.2116.8–179
2066	46.228.9–68.8	148.8117.8–185.3
2067	4125.7–63.6	142.6114.9–185.1
2068	46.928–70.4	152.4114.1–187.8
2069	48.729.3–70.1	148.2114.1–185.4
2070	43.927.5–64.3	151.6111–187.8
2071	4926.2–71.9	155.2117.6–192.8
2072	4730.6–71.4	155.2118.4–190.6
2073	50.732.2–74	154.8115.7–196.8
2074	4829.2–74	151.6114.2–195.8
2075	49.126.1–68.9	158.4117.9–190.2
2076	47.826.5–72.8	154.5120–193.1
2077	51.832.9–76.1	164121.3–203.7
2078	50.632.4–75.6	158.9117–196.9
2079	50.730.5–77	157.6123.7–192.5
2080	53.331.3–79.5	161.3118.7–197.4
2081	5235.5–79.1	158.9119.1–200.5
2082	52.532.5–76.8	156.9118.5–201.5
2083	51.730.5–79.6	160.4121.6–203.2
2084	52.329.5–76	157.7118.3–198.5
2085	51.232.9–79.4	165.1122.6–201.9
2086	52.632.5–80.1	160.4122–201.3
2087	51.732.6–77.9	164.1121.4–199.1
2088	50.727.2–88.8	162.3124.7–205.8
2089	52.731.4–86.3	157.8122.5–206.2
2090	54.231.1–80.1	163124.3–204.5
2091	53.235.4–80.1	167.5124.5–204.5
2092	54.135.4–85.5	173.2125.1–206.7
2093	5235.6–85	166.1126.9–212.1
2094	54.434.9–80.7	167.8130.5–205.1
2095	58.535.1–84.3	173.9123–212.7
2096	52.832.3–84.1	164.5127.5–213
2097	53.230.4–82.8	161.2123.5–206.8
2098	55.334.4–83.8	167.8128.2–206.2
2099	55.233.1–84.7	171129.1–212.5
2100	5734.6–84	163.6126.1–210.4

分别查看各国

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

缅甸与尼日利亚对比

健康

人口与社会

经济

教育

政治

冲突

冲突死亡人数缅甸：2022 年为 2,720 人死亡尼日利亚：2022 年为 2,803 人死亡