奥地利与孟加拉国对比

奥地利与孟加拉国：热带夜

2014 年热带夜：奥地利为 0.8 夜，孟加拉国为 239.9 夜（CMIP6 气候模型中位数模拟）。 2014 年孟加拉国的数值较高，高出 239.1 夜，是奥地利的 290 倍。

在地图上查看其变化

每年夜数 · CMIP6

奥地利与孟加拉国：热带夜2014 年热带夜：奥地利为 0.8 夜，孟加拉国为 239.9 夜（CMIP6 气候模型中位数模拟）。 2014 年孟加拉国的数值较高，高出 239.1 夜，是奥地利的 290 倍。
奥地利孟加拉国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，孟加拉国的数值都更高。
  • 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年奥地利为 6.7 夜，孟加拉国为 269.8 夜。

逐年数据

每年夜数 · CMIP6

年份奥地利孟加拉国
20140.8239.9
20130.4239
20120.5240.4
20110.6240.5
20100.5241
20090.3238.6
20080.3236.7
20070.2236.9
20060.4238.9
20050.4238.2
20040.4238.7
20030.3236.5
20020.2237.6
20010.3237.2
20000.3239.3
19990.3236.6
19980.1235.5
19970.1235.5
19960.2235.5
19950.2234.8
19940.1233.6
19930232.2
19920228
19910.2233.4
19900.2234.6
19890.2235.7
19880.1235.1
19870.1236.4
19860.1233.8
19850.1233.6
19840236
19830.1230
19820232.3
19810235.9
19800.1233.4
19790234.5
19780.1231.8
19770232.3
19760.1232
19750.1231.3
19740.1232.9
19730232.1
19720.1234.3
19710233.1
19700232.5
19690.1231.1
19680229.7
19670.1231.6
19660232.6
19650232.5
19640.1229.3
19630.1233.8
19620231.9
19610.1236.2
19600232.5
19590.2234.7
19580233.5
19570232.5
19560.1234.3
19550.1230.2
19540232.9
19530.1234
19520.1230.3
19510233.5
19500.1233.9
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份奥地利孟加拉国
20150.60.1–2241.2227–252.4
20160.70.1–2.6237.9226.6–249.3
20170.90.1–3.4239.8227.5–249.4
20180.80.2–3.2242.6227–255
20190.90.2–2.9241.2228.5–251.9
20201.30.2–3.4242.6229.3–254.4
20210.70.1–3.1244.3230.4–254.4
20221.10.1–3.4243.8231.5–254.2
20230.90.1–3.9243.5229.2–254.5
20240.90.1–3.4245.7231.4–257.1
20251.60–4242.5229.4–253.9
20261.40.2–4.4243.9227.9–258.1
20271.10.1–3.6247.1232.8–259.3
20281.30.3–4.3244.2232.2–254.4
20291.50.2–5.5247.3232.7–261.5
20301.20.1–4.2243.9232.3–255.2
20311.30.2–4.1245.1232.9–262.3
20321.50.2–4.9247.6236.6–257.8
20331.60.1–5245.3231.7–256.6
203420.1–5.8246.3233.2–260.4
20351.90.3–5.3246.4234.1–260.9
20362.30.4–7246.2228.6–260.4
20372.20.3–6.6247.7235.4–260.2
20381.90.3–7.1249232.1–261
20392.80.3–6.4250234.4–262.7
20402.40.7–5.8248.9235.5–260.5
20412.40.5–5.5248.3235.6–261.9
20422.50.4–6.8252.5237.8–265.3
20432.70.4–6.2250.8234.7–263.4
20442.30.6–7.4251.8239.1–265.2
20452.70.4–6.5250.3239.1–265.6
20462.90.4–8.7252.7238.9–267.8
20473.80.3–8.2253.9239.4–267.1
20483.20.3–10.2254.4242.7–270.5
20493.50.2–7.6253.7241.5–266.4
20502.81–7254.6242.5–269.2
20512.40.4–8.2254.7242.7–270.1
20523.60.5–7.5252.3240.2–264.6
20532.30.6–6.3256.9244–272.4
20542.70.8–7255.9243.5–269.4
20553.20.5–9.2255.2243.8–273.6
20563.61–8.8259.1243.6–274.7
20573.30.8–7.5257.5243.8–273.7
205850.3–10.8257.4245.6–274.2
20594.40.6–11.5258.3246.4–271.8
20603.91.1–10259.2246.1–272.6
20614.51.4–9.4257.7244.8–270.1
20623.90.9–9.2260.4246.4–274.2
20635.41.4–11.3259.9241.3–272.7
20644.70.9–9.9260.2245.9–273.1
206551.3–10.6259.8244.1–274.7
20664.91.2–11.6260246.6–274.6
20675.91.3–13.5261.4246.4–272.3
20684.71.6–9.3260.1245.8–274.8
20695.11.3–10.1263.3249.8–276.6
20704.41.2–11.6259.6245.8–272.6
20714.80.5–12.5262.2248.7–283.4
20725.81.9–10.2259.8248.6–276
20735.31.4–10.5264.1246.6–277.2
20744.51–11.8262.6248.3–276.6
20755.61.5–13.6263.6248.5–277.7
20766.20.9–14.6261.6251–276.9
20774.51.4–12.9264251.1–279.8
20785.61–15265251.6–281.6
20796.80.8–17.4263.8248.5–277.2
20806.31.8–13.3266.8251.9–280.3
20815.71.6–12.9266.5250.7–279.9
208272.2–16.2264249.6–277.3
20835.31.5–12.9266.6251.8–282.8
20846.11.3–11.5264.8253.1–284.2
20856.41.9–13.3265.4251.2–283.4
20866.41.7–15.1268.2252.8–285.3
20877.21.4–15.3265.7251.3–280.8
208872.3–15267.2252.6–284.4
20896.51.8–19267.1252.5–286.7
20906.11.9–17.7267.9254.9–283.4
20917.91.9–16.7267.7254.5–282.2
20926.91.4–14.4268.8253.6–281.7
20935.61.4–13.6268.1251.7–287
20948.51.8–15.3267.4251.3–287.4
20957.21.2–16270.8253.7–284.9
20966.51–15.2267.9250.5–285.8
20975.41.1–15269.3254.9–287.3
20987.62.1–15.1268.8252.4–284.9
20997.51.3–17.6269253–282.3
21006.72.5–16.1269.8254.8–284.9

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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。

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