°C · ERA5
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。
- 2025 年,在 233 个国家中,印度排名第 106,波兰排名第 203(从高到低)。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年印度为 26.6 °C,波兰为 11.4 °C。
逐年数据
°C · ERA5
| 年份 | 印度 | 印度:CMIP6 历史模拟,模型中位数 | 波兰 | 波兰:CMIP6 历史模拟,模型中位数 |
|---|---|---|---|---|
| 2025 | 24.3 | 24.8 | 9.6 | 9.4 |
| 2024 | 24.8 | 24.9 | 11 | 9.1 |
| 2023 | 24.5 | 24.9 | 10.2 | 9.2 |
| 2022 | 24.5 | 24.8 | 9.6 | 9.9 |
| 2021 | 24.3 | 24.8 | 8.7 | 9.6 |
| 2020 | 24.2 | 24.7 | 10 | 9.6 |
| 2019 | 24.5 | 24.7 | 10.3 | 9.1 |
| 2018 | 24.5 | 24.7 | 9.9 | 8.9 |
| 2017 | 24.7 | 24.7 | 9 | 8.9 |
| 2016 | 24.9 | 24.6 | 9.2 | 9 |
| 2015 | 24.5 | 24.7 | 9.9 | 9.1 |
| 2014 | 24.2 | 24.6 | 9.7 | 8.9 |
| 2013 | 24 | 24.6 | 8.6 | 9 |
| 2012 | 24.2 | 24.7 | 8.6 | 8.9 |
| 2011 | 24.1 | 24.6 | 9 | 8.8 |
| 2010 | 24.7 | 24.6 | 7.6 | 8.9 |
| 2009 | 24.8 | 24.5 | 8.6 | 8.9 |
| 2008 | 24 | 24.4 | 9.5 | 8.9 |
| 2007 | 24.3 | 24.4 | 9.4 | 8.7 |
| 2006 | 24.4 | 24.4 | 8.8 | 8.9 |
| 2005 | 24.1 | 24.5 | 8.4 | 9 |
| 2004 | 24.2 | 24.5 | 8.4 | 8.4 |
| 2003 | 24.2 | 24.4 | 8.4 | 8.6 |
| 2002 | 24.4 | 24.5 | 9.2 | 8.5 |
| 2001 | 24.1 | 24.5 | 8.3 | 8.4 |
| 2000 | 24 | 24.4 | 9.6 | 8.5 |
| 1999 | 24.1 | 24.4 | 9 | 8.3 |
| 1998 | 24.2 | 24.3 | 8.3 | 8.5 |
| 1997 | 23.6 | 24.3 | 8 | 8.3 |
| 1996 | 24 | 24.2 | 6.7 | 8.4 |
| 1995 | 24.1 | 24.3 | 8.2 | 7.8 |
| 1994 | 23.9 | 24.1 | 8.9 | 8.1 |
| 1993 | 24 | 24 | 7.8 | 7.6 |
| 1992 | 23.8 | 23.9 | 8.7 | 7.3 |
| 1991 | 23.9 | 24.3 | 7.9 | 7.8 |
| 1990 | 23.7 | 24.3 | 9.1 | 8.1 |
| 1989 | 23.7 | 24.3 | 9.4 | 8.1 |
| 1988 | 24.2 | 24.2 | 8.3 | 7.9 |
| 1987 | 24.3 | 24.2 | 6.5 | 7.9 |
| 1986 | 23.9 | 24.2 | 7.5 | 7.7 |
| 1985 | 24.1 | 24.1 | 6.7 | 8 |
| 1984 | 23.8 | 24.1 | 7.8 | 7.6 |
| 1983 | 23.6 | 24 | 9 | 7.5 |
| 1982 | 23.8 | 24.1 | 8.4 | 7.6 |
| 1981 | 23.8 | 24.2 | 7.8 | 7.5 |
| 1980 | 24.2 | 24.1 | 6.5 | 7.5 |
| 1979 | 24.3 | 24.1 | 7.3 | 7.7 |
| 1978 | 23.7 | 24 | 7.1 | 7.8 |
| 1977 | 23.9 | 24.1 | 8 | 7.6 |
| 1976 | 23.9 | 24.1 | 7.1 | 7.5 |
| 1975 | 23.5 | 23.9 | 9 | 7.4 |
| 1974 | 23.9 | 24.1 | 8.3 | 7.9 |
| 1973 | 24.1 | 24.2 | 7.9 | 7.6 |
| 1972 | 24.1 | 24 | 7.8 | 7.3 |
| 1971 | 23.4 | 24.1 | 8.2 | 7.6 |
| 1970 | 23.8 | 24 | 7.1 | 7.2 |
| 1969 | 24.3 | 24 | 6.9 | 7.3 |
| 1968 | 23.6 | 24 | 8 | 7.4 |
| 1967 | 23.8 | 24 | 8.8 | 7.3 |
| 1966 | 23.8 | 24 | 8.1 | 7.3 |
| 1965 | 23.8 | 24 | 6.8 | 7.4 |
| 1964 | 23.8 | 23.9 | 7.3 | 7.5 |
| 1963 | 23.8 | 23.9 | 6.9 | 7.6 |
| 1962 | 23.4 | 24.1 | 6.9 | 7.4 |
| 1961 | 23.3 | 24.1 | 8.3 | 7.6 |
| 1960 | 24 | 24.1 | 7.8 | 7.8 |
| 1959 | 23.9 | 24.2 | 8.3 | 7.6 |
| 1958 | 24.2 | 24.1 | 7.6 | 7.6 |
| 1957 | 23.8 | 24.1 | 8.1 | 7.3 |
| 1956 | 23.5 | 24.1 | 6.1 | 7.7 |
| 1955 | 23.6 | 24.1 | 7.2 | 7.6 |
| 1954 | 23.7 | 24.1 | 6.9 | 7.3 |
| 1953 | 22.6 | 24.1 | 8.3 | 7.7 |
| 1952 | 23 | 24.1 | 7.2 | 7.6 |
| 1951 | 22.9 | 24.2 | 8.4 | 7.4 |
| 1950 | 22.8 | 24.2 | 8.1 | 7.8 |
- 12.3预测值
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2026–2100
| 年份 | 印度 | 印度:CMIP6 历史模拟,模型中位数 | 波兰 | 波兰:CMIP6 历史模拟,模型中位数 |
|---|---|---|---|---|
| 2026 | – | 24.924–25.6 | – | 9.88.8–10.4 |
| 2027 | – | 24.924.1–25.7 | – | 9.58.7–10.2 |
| 2028 | – | 24.824.3–25.5 | – | 9.78.8–10.7 |
| 2029 | – | 25.124.4–25.8 | – | 9.58.9–10.8 |
| 2030 | – | 24.924.2–25.7 | – | 9.68.7–10.6 |
| 2031 | – | 2524.3–25.7 | – | 9.47.9–11.2 |
| 2032 | – | 25.124.3–25.8 | – | 108.5–11 |
| 2033 | – | 2524.3–25.6 | – | 9.79.1–11.1 |
| 2034 | – | 25.124.4–25.9 | – | 9.88.6–11.1 |
| 2035 | – | 25.124.4–25.9 | – | 9.88.6–11 |
| 2036 | – | 25.124.4–25.7 | – | 108.8–11.5 |
| 2037 | – | 25.324.6–26 | – | 9.78.6–10.9 |
| 2038 | – | 25.324.5–26 | – | 9.88.5–11.5 |
| 2039 | – | 25.224.5–25.9 | – | 9.98.6–11 |
| 2040 | – | 25.124.4–26.1 | – | 10.18.9–11.3 |
| 2041 | – | 25.324.7–26 | – | 9.98.9–10.9 |
| 2042 | – | 25.524.7–26.2 | – | 108.6–11 |
| 2043 | – | 25.324.6–26.1 | – | 10.38.5–11.4 |
| 2044 | – | 25.424.7–26.2 | – | 9.98.3–11.3 |
| 2045 | – | 25.424.7–26.1 | – | 9.98.8–11.4 |
| 2046 | – | 25.624.6–26.5 | – | 9.98.6–11.1 |
| 2047 | – | 25.624.7–26.4 | – | 10.39.1–11.4 |
| 2048 | – | 25.724.8–26.6 | – | 10.69.6–11.5 |
| 2049 | – | 25.624.9–26.6 | – | 10.48.9–11.6 |
| 2050 | – | 25.724.9–26.7 | – | 10.29.2–11.4 |
| 2051 | – | 25.725–26.6 | – | 10.18.8–12 |
| 2052 | – | 25.724.9–26.5 | – | 10.58.8–12 |
| 2053 | – | 25.725–26.6 | – | 10.49.3–11.4 |
| 2054 | – | 25.824.9–26.7 | – | 10.29.1–11.6 |
| 2055 | – | 25.825.1–26.7 | – | 10.19–11.7 |
| 2056 | – | 25.925–26.8 | – | 10.59.3–11.6 |
| 2057 | – | 25.924.9–26.8 | – | 10.49.4–12.1 |
| 2058 | – | 25.825.1–26.9 | – | 10.99.4–12.1 |
| 2059 | – | 2625.2–27 | – | 10.49.2–12 |
| 2060 | – | 26.125.3–26.8 | – | 10.59.3–11.6 |
| 2061 | – | 2625.1–26.8 | – | 10.69.4–11.5 |
| 2062 | – | 25.925.1–27.2 | – | 10.79.6–12.2 |
| 2063 | – | 25.925.2–27 | – | 10.79.2–12.3 |
| 2064 | – | 2625.2–27 | – | 10.79.5–11.5 |
| 2065 | – | 26.125.3–27.1 | – | 10.59–11.9 |
| 2066 | – | 26.125.4–27 | – | 10.79–11.8 |
| 2067 | – | 25.925.2–27.2 | – | 10.69.5–11.9 |
| 2068 | – | 26.125.2–27.3 | – | 10.69.5–12.3 |
| 2069 | – | 26.225.3–27.2 | – | 10.99.5–12.2 |
| 2070 | – | 2625.3–27.1 | – | 10.69.1–12.2 |
| 2071 | – | 26.125.3–27.3 | – | 10.78.9–12.3 |
| 2072 | – | 26.225.4–27.1 | – | 119.7–12 |
| 2073 | – | 26.325.5–27.1 | – | 10.89.5–12.1 |
| 2074 | – | 26.225.5–27.2 | – | 10.89.6–12.1 |
| 2075 | – | 26.225.4–27.1 | – | 10.49.2–12.3 |
| 2076 | – | 26.225.4–27.4 | – | 10.79.5–12.7 |
| 2077 | – | 26.325.5–27.4 | – | 10.79.8–12.1 |
| 2078 | – | 26.325.5–27.3 | – | 10.89.7–12.3 |
| 2079 | – | 26.325.4–27.2 | – | 10.79.5–12.5 |
| 2080 | – | 26.425.5–27.4 | – | 10.99.6–12.4 |
| 2081 | – | 26.425.7–27.5 | – | 10.99.7–12.3 |
| 2082 | – | 26.325.6–27.5 | – | 10.99.8–12.7 |
| 2083 | – | 26.525.7–27.6 | – | 10.69.3–12.6 |
| 2084 | – | 26.525.5–27.6 | – | 10.99.4–12.5 |
| 2085 | – | 26.525.5–27.8 | – | 11.19.7–12.6 |
| 2086 | – | 26.425.4–27.7 | – | 11.19.9–12.8 |
| 2087 | – | 26.425.4–27.6 | – | 11.29.7–12.9 |
| 2088 | – | 26.425.5–27.8 | – | 11.29.7–12.5 |
| 2089 | – | 26.425.6–27.6 | – | 119.6–12.3 |
| 2090 | – | 26.525.7–27.6 | – | 11.39.3–12.7 |
| 2091 | – | 26.625.7–27.8 | – | 11.29.5–12.9 |
| 2092 | – | 26.625.7–27.7 | – | 11.59.7–12.7 |
| 2093 | – | 26.525.6–27.8 | – | 11.19.6–12.9 |
| 2094 | – | 26.625.7–27.7 | – | 119.6–12.8 |
| 2095 | – | 26.825.7–27.7 | – | 11.19.7–12.5 |
| 2096 | – | 26.525.6–27.8 | – | 11.29.3–12.7 |
| 2097 | – | 26.525.6–27.6 | – | 119.9–12.9 |
| 2098 | – | 26.725.7–27.7 | – | 11.29.7–12.5 |
| 2099 | – | 26.725.7–27.8 | – | 11.49.7–12.5 |
| 2100 | – | 26.625.8–27.7 | – | 11.49.8–12.3 |
分别查看各国
须知
- 全国范围、全年平均的近地面气温。
- 来源:ERA5 reanalysis (Copernicus, ECMWF) and CMIP6, via the World Bank Climate Change Knowledge Portal。
- 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。
- 排名基于 2025 年有数值的 233 个国家,从高到低排列。
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
印度与波兰对比
健康
人口与社会
经济
教育
政治
冲突
军用
- 军费开支印度:2025 年为 GDP 的 2.3%波兰:2025 年为 GDP 的 4.5%
- 军费开支(美元)印度:2025 年为 US$933亿波兰:2025 年为 US$425亿
- 人均军费开支印度:2025 年为 US$63波兰:2025 年为 US$1,219
- 军费占政府支出比例印度:2025 年为 8.2%(占政府支出)波兰:2025 年为 9%(占政府支出)
- 武装部队人员印度:2020 年为 307万 人波兰:2020 年为 189,000 人
- 国家实力印度:2022 年为 9.94%(占全球实力)波兰:2022 年为 0.52%(占全球实力)
- 武装部队占劳动力比例印度:2020 年为 0.58%(占劳动力)波兰:2020 年为 1.04%(占劳动力)
- 武器进口印度:2025 年为 28.6亿 TIV波兰:2025 年为 21.7亿 TIV
- 武器出口印度:2025 年为 8100万 TIV波兰:2025 年为 5900万 TIV