坦桑尼亚与越南对比

坦桑尼亚与越南:热带夜

2014 年热带夜:坦桑尼亚为 106.3 夜,越南为 242.6 夜(CMIP6 气候模型中位数模拟)。 2014 年越南的数值较高,高出 136.3 夜,是坦桑尼亚的 2.28 倍。

每年夜数 · CMIP6

坦桑尼亚与越南:热带夜2014 年热带夜:坦桑尼亚为 106.3 夜,越南为 242.6 夜(CMIP6 气候模型中位数模拟)。 2014 年越南的数值较高,高出 136.3 夜,是坦桑尼亚的 2.28 倍。
坦桑尼亚越南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,越南的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年坦桑尼亚为 208 夜,越南为 282.7 夜。

逐年数据

每年夜数 · CMIP6

年份坦桑尼亚越南
2014106.3242.6
2013105.5243.6
2012108.4242.4
2011109241.9
2010103.9240.9
2009101.1240
2008100.3238.7
200799.5238
2006100.4239.1
200598.7238.3
2004100.4241.8
200399.6235.9
200298.4236.3
2001101.5241.3
200094.9237
199994.2236
199896.8236.8
199793.5237.1
199689.6231.4
199588.5229.9
199485.4231.2
199381.2225.3
199280.1221.9
199189.6229.8
199091.1233.1
198989.1229.2
198887.6231.7
198788.5230.3
198689.4230.9
198583228
198483.1230.2
198382.1224.9
198284.8227.5
198188229.7
198085228.1
197985.5228.9
197882.9227.5
197784.1229
197681225.8
197580.8225.8
197482.2225.7
197383.6230.3
197281.4225.6
197180.7225.5
197081.8226.1
196979.5227
196879.1227.1
196777.5222.9
196678.1226.8
196578225.4
196473.8222.6
196373.1224.3
196281.1227.8
196182.6229.4
196083.9228.5
195981.4226.2
195882.1230.9
195780.9228.4
195680228.7
195581.6227.5
195481.4226.3
195380.6228.2
195281.4228.5
195182.1229.2
195080.7228.9
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份坦桑尼亚越南
2015114.895.2–137.4245.8228.2–261.9
2016108.391.6–125.6243.7226.1–259.4
2017114.893.6–137.8247229.6–260.7
2018116.497.4–137.1248.3228.8–263.3
2019113.495.2–133.2248.1229.2–262.8
2020119.396.2–143.5248.8229.6–262.9
2021119.5100.9–147.1251.1233.1–266.7
2022124.4105.3–147.4252.4234.3–266.8
2023122.1102.1–147.8253.4235.4–266.6
2024126.2100–150.1251.3236.7–264.6
2025124.6100.9–154252.4234.1–266.2
2026126.999.1–155.6252.8232.9–268.5
2027128102.9–147.7253.2237–268.8
2028129.9106.4–152.1254.3237.7–272
2029134.1111–156.5258.1238.5–273.7
2030129.4106.4–151.1256.4240.9–270.1
2031136.4115.9–158.4255.9241.2–270.9
2032135.1114–166.8257.4239.1–269.9
2033135.2110.9–161.9258.3241.7–273.2
2034134.7112.5–166.3258.8240.7–275.8
2035140.2114.6–165258.6242.5–275.4
2036137.8113.3–165.5258.3239.1–273.8
2037142.9121.5–168.9258.7242.4–272.4
2038147.9124.3–169.3263.4247.6–277.3
2039144.3117.6–171.3260.2243.7–275.9
2040140.5117–178260.1242.8–274.8
2041149.1121.7–175.6263.1245.9–279
2042146.3120.5–185.3263.6246.5–279
2043144.6117–173261.4245.5–279.6
2044147.7121.2–175.8263.2245.2–277.6
2045150.1125.2–183.4265.5249.6–281.4
2046161.5128.6–192.2264.9246.8–278.1
2047160.2129.7–194.4266.9250.4–282.9
2048158.8132.7–193.1268250.5–283.8
2049157.6131.1–196267.8251.2–284.8
2050159.7127.8–192268251.2–283.5
2051163.2135.5–197.8270.9254.3–285.4
2052161.9136.2–199.1268.3253.3–282.8
2053160.6127.5–197.7268.5250.1–283.2
2054163.2131.5–200.2269.1250.8–283.6
2055167.4137–208.3270249.8–284.2
2056166.4130.8–209.7271.7254.8–290.1
2057168134.6–208.3270253–285.7
2058168.7134.9–210.3270.7252.9–286.5
2059174.7144.9–219.5273257.6–286.6
2060181.7138.1–219.8275.7255.6–290.6
2061171.8135.5–218.1273.5254.6–289.5
2062177.5139.9–224271.4253.1–290.2
2063181.4140.1–213.8272.9252.7–288.1
2064185.3140.1–215.2273.8254.4–288.1
2065183.5141.1–221.8272255.8–286.3
2066181.9146.3–219.3271.8254.4–287.3
2067178.8138.8–229.2270.8252.1–287.6
2068186144.2–228.4275.6256.9–292.4
2069183.7141.7–225.3276.4258.5–292
2070180.7140.4–228.2274.6257.8–292.8
2071184.9146.9–235.2276.2255.2–294.1
2072191.3155–226.1277256.8–291.4
2073191.6152.4–235.6278.5262.7–293.4
2074183.3149.7–231.7277.6259.2–295.8
2075183.8144.8–233276.4258.7–294.4
2076191.1150.9–233.2279.2258.5–296.6
2077191.3152.6–238.2280264.9–294.7
2078189156.6–233.8278.4258.6–295.5
2079190.5147–237.3279.3263.4–293.6
2080197.3150.7–241.2280261.4–296.5
2081195.6153.4–237.4280.4261.2–297.9
2082194.5157.3–237.3280.9258.9–296
2083193.2151–249.8278.4261.6–295
2084201.1152.2–246.7279257.4–293.8
2085204.2162.3–252.3281.3265–297.8
2086195156–248.7282.3260.2–297.5
2087196.7160.8–244.5281.9261.3–300.7
2088208.4154.7–246.9283.1265.7–301.5
2089201.3158.6–248.2280.8261.2–301.6
2090197.9160.7–253.6280.5264.5–297.6
2091210161.6–256283.3264.3–298.9
2092205.8158.3–253.6281.1261.5–299.4
2093207.2161.2–251.9280.5263.4–296.1
2094207.9161.3–250.6283264.5–300
2095214.2166.4–258.5285.5264.5–302.9
2096205.3159.8–257.4281.8264.8–299.8
2097206.6158.4–256.8281.5263.3–299
2098209.1161–258.3282.5263.9–301.5
2099208.5160.1–256282.7265.1–298
2100208158.6–258.6282.7261–298.2

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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