伊拉克与约旦对比

伊拉克与约旦:热带夜

2014 年热带夜:伊拉克为 151.4 夜,约旦为 74.7 夜(CMIP6 气候模型中位数模拟)。 2014 年伊拉克的数值较高,高出 76.8 夜,是约旦的 2.03 倍。

每年夜数 · CMIP6

伊拉克与约旦:热带夜2014 年热带夜:伊拉克为 151.4 夜,约旦为 74.7 夜(CMIP6 气候模型中位数模拟)。 2014 年伊拉克的数值较高,高出 76.8 夜,是约旦的 2.03 倍。
伊拉克约旦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,伊拉克的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年伊拉克为 178.7 夜,约旦为 131.7 夜。

逐年数据

每年夜数 · CMIP6

年份伊拉克约旦
2014151.474.7
2013151.372.2
2012150.971.9
2011150.771.4
2010147.571.4
2009146.166.9
2008149.969.4
200714864.6
2006146.967.7
2005147.766.2
2004147.367.4
2003145.468.2
2002147.263
2001146.668.3
200014863.8
1999143.662.2
1998142.661.8
1997144.559.2
1996143.756.6
1995139.154.1
1994141.654.6
1993136.645.2
1992136.648.3
1991138.152.3
1990142.757.7
1989141.653.4
1988138.250.5
1987138.949.5
1986140.952
1985137.647.1
1984135.544.2
198313541.5
1982135.847.4
1981140.348.3
1980139.449.2
1979136.441.8
1978136.845.1
1977137.746.7
1976138.245.6
1975134.143
1974135.845.1
1973136.144.6
1972135.844.8
1971133.747.2
1970135.544.3
1969135.546.3
1968134.342.6
1967133.641.5
1966132.943
1965132.936.8
1964134.237.7
1963135.143
1962137.745
1961138.245.4
1960136.746.3
195913946.3
1958138.447.2
1957137.348.7
1956136.648.4
1955134.745.5
1954136.142.7
195313747.8
1952136.745.7
1951137.345
1950134.941.8
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份伊拉克约旦
2015154.9143.1–165.881.862.6–98.9
2016152.1139.6–164.579.261.3–95.2
2017154.1139.5–165.682.466.3–96.6
2018153.8142.3–16584.868.8–102.1
2019153.3141–166.987.467.5–100.7
2020155.1144.8–16686.866.8–102.2
2021155.8144.5–166.588.273.8–101.1
2022155.9144.3–16888.170–103.7
2023157.1146.3–168.592.474.7–106.4
2024155.9145.1–167.790.776.3–107.1
2025156.8145.6–168.894.173.1–105.2
2026158.1147.1–168.291.678.6–106.9
2027159.5148.6–169.894.475.7–108.4
2028157.5145.7–169.492.675.9–106.3
2029158.5149.2–167.695.381.2–107.3
2030157.9147.4–169.796.381.5–111.7
2031160.1146.9–171.393.876.5–110.6
2032160146.9–170.610086.4–110.9
2033161.6151.5–172100.683.6–113.6
2034161148.9–173.998.882.4–112.3
2035161.8150.3–173.6101.883.2–115.2
2036158.5146.3–170.697.885.1–116.2
2037161.2148.6–173.510384.6–117.8
2038165.1152.5–174.7102.386.1–122.6
2039164.6152.2–177.7107.190.5–125.7
2040165153.4–175.3106.387.8–125.5
2041163.3151.3–172.5103.787.8–123.2
2042165.3153–176.8108.586.5–122.3
2043164.6151.4–175.3105.791–124.9
2044164.6155.1–175.2105.682.8–125.1
2045167.8152.2–180.111298.8–128
2046167.6155–178.811395.5–127.5
2047167.1156.3–177.3112.293–125.7
2048165.8155.5–179.1111.893.7–129.7
2049165.6155.1–177.4110.384.7–125.6
2050170.8156.9–181.9112.495.9–127.2
2051168.8155.6–181.1112.397–125.6
2052167.8154.5–180.4110.697.4–125.9
2053168.5155.9–181.1113.798.2–129.9
2054170.4155.7–181.4115.492.5–130.9
2055171.2158.7–181.8115.794.8–130.2
2056168152.6–178.6115.394.2–130.5
2057169.2153.3–186.3115.496.7–135.6
2058170.7157.1–185.5116.196.6–136.8
2059169.8157–187.5120.998.5–137.1
2060169.5157.6–185.7115.898.7–138.7
2061170.2157.8–180.7118.897.1–132.3
2062171.2158.1–18312091.6–136.4
2063170.6156.5–183.6118.7101.7–135.9
2064170159.8–182.8121.4103.3–135.9
2065171.7160.9–185.3120.2100.4–134.9
2066172.4158.6–184.5120.498.5–135
2067173.9161.8–187.6124106.1–139.5
2068172.6159.5–185123.2105.3–138.1
2069174.3160.8–186.2118.8105.4–137.2
2070175.4162.3–186.7123104–140.8
2071176.1161.2–188.9123.6103.8–144.3
2072174.1161.5–187.3124.5106.3–140.9
2073176.1159.9–190.6126.6104.8–144.4
2074173.5157.8–187120.9103–139.6
2075171.3158.5–186.4121.7103.1–138.1
2076173.1158.7–186.3124.1105.4–144.2
2077176.7160.9–189.8124.2105.3–143.9
2078176.2163.1–188.2124.7105.6–142.8
2079175.2160.1–188132107–143.6
2080172.9160.7–190.1128.9106.2–144.4
2081175.5161.6–189.9125.3108.7–144.8
2082176.9162.8–188.2128107.9–145.2
2083179.2161.9–191.4130.9108–144.7
2084179.7164.5–191130.5110.6–145
2085177.9162.3–190.8129.1108.8–141.7
2086178.4166.1–189.5127.5108.9–147.6
2087178.1161.8–194.1129.8106.1–148.4
2088178.1163.4–194.1132.2114.9–149.4
2089177.5162.8–192.6128.7113.4–148.5
2090176.1163.1–191.9128.2111.9–151.3
2091178.7163.4–192.6132.8112.5–152.1
2092179.2164.9–191.4130.6108.3–152.6
2093179.3165.6–193.8135.8116.2–154.4
2094181.3169.4–192.9135.9116.3–150.6
2095181.2166.6–193.1133112.7–149.6
2096179.2163.8–193.2130.4108.1–151.3
2097180.7162.7–194.4134.5113.5–155.4
2098178.4163.1–199132.5114.9–152.3
2099178.9166.7–191.9132.1115.3–145.3
2100178.7165.8–191.9131.7111.2–153.1

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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

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