南苏丹与津巴布韦对比

南苏丹与津巴布韦:热带夜

2014 年热带夜:南苏丹为 343.7 夜,津巴布韦为 76.4 夜(CMIP6 气候模型中位数模拟)。 2014 年南苏丹的数值较高,高出 267.3 夜,是津巴布韦的 4.5 倍。

每年夜数 · CMIP6

南苏丹与津巴布韦:热带夜2014 年热带夜:南苏丹为 343.7 夜,津巴布韦为 76.4 夜(CMIP6 气候模型中位数模拟)。 2014 年南苏丹的数值较高,高出 267.3 夜,是津巴布韦的 4.5 倍。
南苏丹津巴布韦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,南苏丹的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年南苏丹为 361.1 夜,津巴布韦为 148.3 夜。

逐年数据

每年夜数 · CMIP6

年份南苏丹津巴布韦
2014343.776.4
2013342.178.4
2012342.875.9
2011343.373.3
2010341.971.5
2009338.869.6
2008339.869.8
2007336.969.3
200633970.3
2005336.869.5
2004336.671.8
2003338.972.9
2002336.671.3
2001338.771.3
2000334.667.4
1999331.862.3
1998333.666.3
1997334.562
1996330.757.7
1995329.658.9
1994328.256.8
1993321.950.1
1992321.552.1
1991329.158.7
1990332.661.5
198932960.4
1988330.561.6
1987328.857.3
1986330.458.6
1985327.154.1
1984324.154.6
1983322.853.3
1982322.853.7
1981329.957
1980326.557.3
1979325.356.2
1978324.153.1
197732555.2
1976322.651.2
1975320.853.6
1974320.154.2
1973325.453.9
1972324.753.2
1971319.951.1
1970322.353.1
1969318.553.3
1968318.348.7
1967315.648.7
1966317.248.8
1965316.548.6
1964312.944.6
1963309.847.4
1962323.955.8
1961323.351.6
1960324.855.6
1959321.553.6
1958320.255.3
1957322.153.2
1956319.548.6
195531754.4
1954322.453
1953321.651.8
1952322.452.7
1951323.952.3
1950318.651.8
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份南苏丹津巴布韦
2015342.7327.5–353.379.463.5–98.5
2016342.1325.1–351.178.657.9–101.7
2017344.5326.9–353.781.263.3–98.5
2018344.1324.9–353.782.160.5–104.1
2019344.5324–354.282.863.9–102.3
2020344.9326.9–355.684.362.9–106.9
2021347.3329.2–355.382.564.7–102.7
2022344.5326.1–355.589.870.1–108.8
2023347.2329.2–35790.672.5–110.7
2024350.4331.6–357.993.769.8–113.4
2025347.1330.2–357.78865.1–114.6
2026347.6329.5–356.789.767.8–113.9
2027346327.1–356.195.668.4–119.6
2028349.4333.5–357.393.371.4–115.7
2029348.6337.5–355.6100.277.2–120
2030349.3335.5–357.29671.6–115.3
2031351.3336.3–357.69874.9–119.8
2032348.6333.6–357.798.574.7–118.5
2033350.8336.7–359.498.974–120.6
2034350.2337.5–358.3100.277.3–128.1
2035352.3331–359.5103.975.7–130.6
2036352340.8–359.1100.878–123
2037351.9337.4–359.510882.1–131.1
2038354.3341.9–359.6110.986.5–135
2039353.8340.6–360102.480.4–122.3
2040353.5338.7–360.2101.379.5–133.5
2041353.2336.9–360.2108.483.7–134.2
2042351.9336.9–360.3108.883.1–139.9
2043353.2336.2–359.5107.985.7–137.3
2044353.7339.9–361.1111.287–134.8
2045353.7342.2–360.6106.186.2–130.7
2046355.4342.2–361112.386.4–139.1
2047355.7344–361.2119.692.1–145.9
2048354.7342.5–361.6116.888.4–143.9
2049356.7346.4–361.1119.290.4–146.2
2050356.8345.6–361.7122.794.1–148.6
2051356345.4–361.8122.4100.9–147.7
2052355.3343.8–362.2124.2101.3–152.8
2053355.5343.4–361.7121.689–146.9
2054356.9345.2–362.1123.993.9–150.8
2055356.9345–361.7126.597.9–153.7
2056356.7345.7–363.1126.198–154.7
2057358.4349.2–362.6122.797.6–150.7
2058357.7345–361.8125.3103–154.1
2059358.6348.4–362.6132.2107.4–157.4
2060357.7344.7–363.8132.599.9–159
2061358.2345.8–362.7126.694.2–161.1
2062357.4345.2–363.1126.399.6–157.3
2063358.8347.3–362.6127.7101–159.7
2064358.9348.4–363.3130.498–151.3
2065359.1351.1–362.9132.4107.6–165.6
2066359.2350.6–363.1134.5106.8–159.8
2067358.6347.6–363.3125.598.9–160.5
2068359.9350.3–364.4134102.3–166.1
2069357.6347–363.1136.9106.4–164.2
2070359.5350.4–363133.199.8–166.3
2071359.6350.5–363.2135.2108.4–173.7
2072360.2348.4–364.2140.4110.6–166.8
2073359.3350.3–363.5140.9109.7–173.6
2074359.5348–363.3135.5112–170.6
2075359.9348.5–363.4136108.5–166.6
2076359.4350.5–364133.7105.9–163.7
2077359.9352.2–363.7140.2114.3–170.6
2078360351.2–363.4137.5111.3–172.3
2079359.8350.9–363.3136.9110.2–172.6
2080361.3349.8–364.6145115.8–173.2
2081360.4350.5–363.9147.2106.5–174.1
2082360.3351–363.3141.4111.4–169.9
2083360351.1–363.8143.6106.5–179.2
2084360.8350.8–364.9149.4117.3–176.9
2085361352.3–363.7154.3114.9–182.7
2086360.4352.5–364.1141.7115.3–176.1
2087359.7347.8–363.8142.7116.8–177.3
2088360.3352.2–364.7150.2118.3–178.9
2089360.2352.3–363.8148.9121.3–176.4
2090360.2351.3–363.9145.7113.7–179.4
2091360.9351.6–364.1149.7116.5–181.8
2092360.7352.4–364.7149.4119.7–181.7
2093361.6354.1–363.9152.5117.1–184.1
2094361.3353.8–364.3150.9117.3–182.2
2095361.5353.2–364155118.3–181.5
2096361.1352.8–365.1152.4113.1–189.2
2097360.7351.9–364.2144.1113.8–183.3
2098361.5352.6–364.1152.4119.2–187
2099361.2352.4–364.1152.9117.3–185
2100361.1352.6–364.2148.3120.1–184.6

分别查看各国

须知

  • 一年中气温始终高于 20 °C 的夜晚数,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

南苏丹与津巴布韦对比

健康

人口与社会

经济

教育

政治

冲突

军用

气候

技术与环境