阿根廷与印度：35 °C 以上天数

2014 年35 °C 以上天数：阿根廷为 13.5 天，印度为 80.6 天（CMIP6 气候模型中位数模拟）。 2014 年印度的数值较高，高出 67.2 天，是阿根廷的 5.99 倍。

每年天数 · CMIP6

阿根廷印度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，印度的数值都更高。
根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年阿根廷为 27.2 天，印度为 111.9 天。

逐年数据

每年天数 · CMIP6

年份	阿根廷	印度
2014	13.5	80.6
2013	13.2	79.2
2012	14.1	81.3
2011	13.3	79.9
2010	13.1	80.8
2009	12.6	78.4
2008	12.4	77
2007	11.7	79
2006	11.3	76.2
2005	11.5	79.9
2004	12	80.1
2003	11.2	76.9
2002	12.7	79.2
2001	12.7	80.1
2000	10.9	76.6
1999	11	77.1
1998	11.3	76.9
1997	12.8	75.4
1996	11.6	72.1
1995	9.6	75.4
1994	9.2	76.3
1993	9.1	72.3
1992	9	68.7
1991	9.6	78.1
1990	8.8	76.7
1989	10.9	75.5
1988	10.5	73.9
1987	10.5	75.3
1986	10.4	76.8
1985	10.7	73
1984	9.6	75.9
1983	9.6	74.1
1982	9.5	76.1
1981	10.9	76.3
1980	10.8	75.3
1979	11.2	74.4
1978	10.6	74.4
1977	9.7	74.6
1976	10.4	76
1975	9.5	71
1974	10.5	75.8
1973	9	77.9
1972	9.7	71.1
1971	9.2	74.1
1970	9.9	73.7
1969	9.4	73.3
1968	9	72.2
1967	8.6	71.3
1966	9.9	75.3
1965	8.9	73.7
1964	7.1	68.9
1963	8.8	70.4
1962	11	74.2
1961	10.2	75.4
1960	11.1	75.4
1959	10.5	77.9
1958	9.6	74.8
1957	10.7	75.5
1956	10.6	75.6
1955	9.8	74.8
1954	9.6	75.3
1953	10.9	75.2
1952	10.7	76
1951	10.5	76.3
1950	9.4	76.5

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

年份	阿根廷	印度
2015	14.78.1–22.2	81.664.7–96
2016	13.66.8–22	8063.1–96.1
2017	14.26.9–22.4	79.461.7–95.3
2018	13.35.6–21.6	82.461.5–95.7
2019	14.56.9–23	79.160.2–95.2
2020	15.88.4–24.8	82.262.4–99
2021	15.38–24.6	82.167.7–96.4
2022	13.36.7–22.2	83.962.8–100.3
2023	14.99.3–22.1	83.164–99.3
2024	15.87.6–24	84.766.4–100.3
2025	16.410.2–23.4	81.662.4–97.1
2026	189.4–26.5	84.866.1–101.3
2027	16.49.1–26.2	83.563.7–102
2028	15.67.6–26.5	82.862.9–99.9
2029	15.97.3–26.3	89.566–105.9
2030	16.39.8–27.4	84.265.7–100.2
2031	15.88.1–24.9	85.466.7–103.4
2032	15.78.9–25.4	85.665.5–105.3
2033	16.18.4–25.7	83.865.8–99.8
2034	16.110.4–24.9	85.467.4–104.8
2035	16.810.2–27.5	85.766.6–105.3
2036	18.310.9–27.9	84.565.5–101.8
2037	18.310.2–27.3	89.772.2–107.5
2038	16.89.1–24.7	90.269.1–107.1
2039	17.39–25.8	87.168.5–107.4
2040	18.311.3–28.3	87.566.6–106
2041	19.310.7–29.3	89.171.2–107.8
2042	189.9–27.1	95.475.7–112.9
2043	189.5–27.5	91.270.1–111.1
2044	19.49.7–30.2	90.471.6–110.9
2045	20.511.8–30.1	91.772–108.5
2046	19.612–28.2	95.469.1–117
2047	19.78.9–31.3	94.272.6–113.5
2048	19.610.8–28.6	97.673.2–120.5
2049	20.411.6–30.7	95.173.8–117.5
2050	19.910.4–28.4	94.474.5–117
2051	20.511.5–30.8	94.775.8–114.7
2052	21.610.9–33.4	96.876.1–116.5
2053	20.411.3–30.2	94.673.9–116.7
2054	19.712–31.9	96.574.3–117
2055	21.310.1–34.1	99.175.7–118
2056	20.510.5–32.4	99.173.7–118.2
2057	21.711.5–34.7	100.371.9–123.9
2058	21.312.4–33.2	97.775.1–121.5
2059	21.612.4–32.7	102.380.5–127.4
2060	2211.2–33.3	10380.3–124.4
2061	2310.8–34.9	100.978.4–122.6
2062	2212.1–32.7	100.175.4–126.5
2063	24.114–33.8	100.678.3–122.1
2064	24.115.3–39.2	10081–123.3
2065	23.712.7–34.9	103.580.5–128.2
2066	24.715.7–35.1	100.780.7–124.6
2067	24.912.6–37	99.678.4–126
2068	23.712.3–36.3	102.780.1–130.1
2069	2514–35.5	10477.5–128.1
2070	24.413.3–37.1	101.179.7–125.6
2071	23.913.1–36.8	105.581.4–132.1
2072	23.814.5–38.9	104.384.4–128.2
2073	25.314.6–39.1	108.485.4–130
2074	24.511.6–36.9	105.182.9–126.8
2075	25.312.9–38.6	102.578.8–126
2076	23.713.4–36.3	105.582.2–134.6
2077	24.615.3–36.4	107.484.1–132.6
2078	26.213.8–39.4	107.382.8–127.7
2079	23.913.4–36.8	105.379.7–127.2
2080	25.413.8–40.8	109.784.5–135.9
2081	2514.2–38	108.986.2–134.4
2082	2413.3–36.3	105.783.4–133.6
2083	25.415–39.2	110.287.8–135.8
2084	22.512.1–36	111.582.3–138.1
2085	23.412.2–36.2	112.381.2–143.6
2086	25.214–39.1	107.882.8–141.1
2087	2614.4–37.2	107.980.1–134
2088	26.214.9–40.2	107.984.4–143.1
2089	27.315.3–38.2	107.981.7–137.3
2090	27.115.8–41.5	108.883.9–136.6
2091	28.315.4–42.5	113.486.9–144
2092	29.316–42	113.587.1–142.8
2093	2615.1–44.6	108.482.7–144.8
2094	27.714.9–41	111.386.8–139.5
2095	26.713.8–43.1	114.186.4–143.6
2096	27.114.5–42.2	10880.4–140.3
2097	2715.3–41.1	110.385–137.8
2098	26.715.9–42.2	113.687.7–141.1
2099	27.615.3–41	112.585.3–137.7
2100	27.214.1–45.4	111.986.8–138.7

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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

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冲突

冲突死亡人数阿根廷：2022 年为 0 人死亡印度：2022 年为 358 人死亡