博茨瓦纳与纳米比亚对比

博茨瓦纳与纳米比亚:热带夜

2014 年热带夜:博茨瓦纳为 108 夜,纳米比亚为 52.7 夜(CMIP6 气候模型中位数模拟)。 2014 年博茨瓦纳的数值较高,高出 55.3 夜,是纳米比亚的 2.05 倍。

每年夜数 · CMIP6

博茨瓦纳与纳米比亚:热带夜2014 年热带夜:博茨瓦纳为 108 夜,纳米比亚为 52.7 夜(CMIP6 气候模型中位数模拟)。 2014 年博茨瓦纳的数值较高,高出 55.3 夜,是纳米比亚的 2.05 倍。
博茨瓦纳纳米比亚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,博茨瓦纳的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年博茨瓦纳为 173.7 夜,纳米比亚为 123.3 夜。

逐年数据

每年夜数 · CMIP6

年份博茨瓦纳纳米比亚
201410852.7
2013111.855.8
2012111.356.6
2011103.850.9
2010104.550.6
2009100.750.7
200899.446.8
200797.247.3
200698.448
200510348.4
200410552.1
2003104.849.9
2002103.849
2001100.947.8
200096.744.1
19999341.7
199898.545.2
199793.142.5
199685.136.2
199585.934.7
199480.635.7
199372.930.3
199275.228.9
199188.942
199092.441.2
19899139.4
198885.835.9
198787.637.6
198683.237
19857632.5
198477.432.4
198377.331.6
198285.338
198182.835.1
198083.534.7
197978.732.7
197877.532.6
197776.931.2
197673.230.5
197578.431.3
197479.731.2
19737832.2
19727430.8
197173.330.3
197071.730.2
196975.830.3
196870.128
196768.126.8
196669.828.4
196570.127.7
196463.622.8
196361.525
196280.832.6
196173.832.3
196079.832.7
195976.132.6
195878.332.2
195781.434.1
195666.829.1
195577.932.3
195470.829.3
195372.530.1
195278.831.7
195178.531.1
195072.429.5
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份博茨瓦纳纳米比亚
2015113.889.4–136.356.535.1–81
2016110.879.7–133.653.930–77.5
201711591.1–135.457.432.9–77.8
201811892.7–141.36133.9–84.3
2019115.588.9–136.157.333.3–83.7
2020118.289.2–143.16433.5–86.5
2021119.891.9–143.46441.5–85.6
2022125.2101.2–147.869.446.9–95.6
2023126.4102.7–145.267.846.3–87.4
2024124.699–151.369.243.8–91.5
2025121.986.3–150.466.338.8–95.4
2026129.396.6–150.272.941.8–97.8
2027129.4105.3–158.173.949.9–97.4
2028127.698–153.373.846.6–100.6
2029132.4113.2–150.279.755.4–100.3
2030132.3104.8–154.875.249.3–99.4
2031136.1101–158.877.947.3–100.9
2032135.4108.1–159.682.154.2–107
2033136.3105.8–155.881.956.4–104.8
2034139.3107.7–161.680.153.2–110.1
2035136.9110.3–159.680.152.1–105.9
2036137.7114.1–157.781.557.7–103.8
2037142.5117.1–165.685.859.2–109.5
2038146.4119.4–165.987.665.4–112.5
2039139.3110.5–159.281.654.6–108
2040134.6108.8–164.781.555.5–112.9
2041142.5120.2–166.58862.7–111.6
2042145.1121.4–171.984.761.3–117.5
2043144.6122.2–17185.161.2–116.5
2044148.4121.9–167.990.661.4–118
2045144.5117.2–166.888.661.9–116.3
2046150119.2–170.194.869.3–122.8
2047152.8124.3–175.998.570.3–123.5
2048152.2122.8–174.1100.170.3–124.7
2049156.3125.4–180.8101.775.1–125.9
2050155.4122.4–178.29971.5–127.8
2051155.3131.2–176.6100.771.4–127.7
2052157.4132.6–180.8100.275.5–132.6
2053156.6127.7–178.2100.876.7–126.8
2054156.5123.1–186.7104.773.3–132.4
2055154.8128.5–184.4100.174–134.9
2056157.8127.1–180.3102.476.4–133.3
2057160.3131.8–187.1106.978.6–134.6
2058157.6131.4–182.7104.570.2–135.2
2059167.4137.5–192.5111.773.5–144.1
2060164.6137.2–18710982.3–138.2
2061164.5130.6–189.111177.9–141.8
2062161.7131.2–183.5111.575.4–137.7
2063161.8136.5–190.6110.879.9–142.6
2064163.5131.1–184.2110.679.7–134.3
2065163134.7–191.610978–140.6
2066167.8139.2–191.9114.280.8–143.7
2067160.8136.3–186.4109.378.1–141.3
2068165.1141.1–186.2117.582.7–143.5
2069166.7138.4–187.8114.286.1–141.4
2070168.4135.2–194.2111.580.6–145.7
2071170.3142.2–196.1117.289–151.6
2072171.9147–194.7120.389.5–149.3
2073172.1145.9–194.9124.799.2–148.4
2074170.6140.7–197.4120.883.8–151.3
2075165.6138.4–194.2115.485.4–147.8
2076171.6140.9–197.1120.286.6–149.1
2077172.4147.2–196.2124.895.6–152.4
2078170.4140.2–194.5119.291.1–151.2
2079174.3142.7–197.6126.886.9–153.9
2080174.7143.3–197123.891.1–151.9
2081174.4142.4–192.3124.295.7–151.7
2082173.8147.9–195.7120.993.2–149.7
2083174.1138.7–199.9119.181.5–153.9
2084179.2146.4–201.4125.996.3–155.2
2085178.2149.5–205.812695.5–159.3
2086174.8151.3–197.8123.295.9–160
2087170.6150.4–197.612397.9–158
2088179.3149.6–205.4128.197.6–157.1
2089177.7149.7–196.6125.596.5–153.3
2090176.4152.9–200.8127.199–162.3
2091179.8146.7–201.8129.495.7–162.8
2092178.4153.6–201.4131.4103–159.2
2093177.9150.4–199.8125.897.4–160.4
2094177.5155.8–203.4127.1100.7–161.5
2095184.5152–204.5132.196.5–163.6
2096177.9147.3–204.9130.293.7–163.5
2097170.9147.6–202.9126.292–159.9
2098180.8152.1–207.6132.494.1–167.1
2099178.6148.2–204.3130.295–164.7
2100173.7150.3–202.7123.395.9–159.7

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

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