波兰与泰国对比

波兰与泰国：热带夜

2014 年热带夜：波兰为 0.4 夜，泰国为 286.4 夜（CMIP6 气候模型中位数模拟）。 2014 年泰国的数值较高，高出 286 夜，是波兰的 680 倍。

在地图上查看其变化

每年夜数 · CMIP6

波兰与泰国：热带夜2014 年热带夜：波兰为 0.4 夜，泰国为 286.4 夜（CMIP6 气候模型中位数模拟）。 2014 年泰国的数值较高，高出 286 夜，是波兰的 680 倍。
波兰泰国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，泰国的数值都更高。
  • 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年波兰为 7.9 夜，泰国为 320.8 夜。

逐年数据

每年夜数 · CMIP6

年份波兰泰国
20140.4286.4
20130.2289.1
20120.2286.6
20110.2286.4
20100.4286
20090.2286.9
20080.1284.8
20070.1283.2
20060.2284.3
20050.2281.7
20040.4287.5
20030.1279.3
20020280
20010.2285.5
20000.1283.4
19990.1282.5
19980282.7
19970284.8
19960.1279.8
19950.1278.7
19940280.8
19930275.6
19920268.8
19910276.7
19900279.2
19890278.4
19880279.6
19870277.9
19860277.5
19850276
19840277.9
19830273.9
19820275.7
19810277.8
19800277.9
19790278
19780.1276
19770277.3
19760275.6
19750274.4
19740276
19730280.6
19720273.9
19710273.2
19700276
19690274.8
19680277
19670270.3
19660274.4
19650275.8
19640271.9
19630274.7
19620275.4
19610278.5
19600276.2
19590274.4
19580278.7
19570277.4
19560277
19550274.6
19540275
19530275.4
19520275.1
19510277.5
19500276.2
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份波兰泰国
20150.40–3.3290.6272.2–305
20160.60–4.2287.1269.8–306.2
20170.70–3.4290273.8–302.8
20180.40–3.8292.6275.1–308.7
20190.60–3.5291.2272.8–306.7
20200.90–4.5292.4272.2–307.8
20210.60–4.4294.2276.3–308.5
202210–5.4294.8277.2–311.9
20230.80–5.2296.1281.9–310.2
20240.90–4.7291.7275.5–307.8
20251.20–8.4294276.7–306.3
20261.20–6.2296278–309.3
20271.10–4.1295.8276.3–311.1
20281.20–5297279.3–315.1
20291.40–7.7300.3278.7–315
203010–5.9297.7280.2–312.5
20310.70–4.8300.8282.8–317.1
20321.20–8.4297.2280.9–311.4
20331.40–6300281.9–315.8
20341.70–6.8300.8279–318.4
20351.40–6.7298.6281.5–317.8
20362.40–8.9300.4279.9–316.9
203720–8.4299.8280–315.1
20381.40–8.4304.8286.6–319.3
20393.30–9.4300.9281.9–317
20402.20–6.7301.6284.5–315.7
20412.10.1–7.6303.1285.1–318.8
20422.40.1–8.6303.8290–318.3
20432.70–9.9302285.8–317.9
20443.30.1–10.7304.3286.3–318.8
20452.40–7.8307.1287.7–324.2
20462.80.2–11.4305.9285.2–321
20474.30.2–11.6306.6289.5–321.5
20484.20.1–13.2309.4288.9–325.7
20494.40–11308.1287.2–324.1
20502.70.1–11.2307.5291–321.5
20512.10–11.6312.8294.8–326
205230.3–10.9310.9291.2–323.4
20532.70–8.2308.3289.5–323.3
20542.70.2–8.7308.8292.8–322.3
20552.40.1–12.2308.6290.6–325.1
20563.50.2–11.8311.3294.9–326.3
20573.20.3–13.1308.5286.7–326.4
20584.40.3–13.8308291.1–325.1
20593.40.2–15.2312.7295.8–325.3
20603.90.2–10.8313.1294.6–328.6
20615.40.6–12.4314.4289.5–331.1
20623.30.4–14.5311.4293.4–330.3
20634.90.3–15.7314.8296.9–327.3
20644.60.4–12.5312.5295.4–330
20655.30.4–16.1309.6293.1–329.3
20665.60.7–14312.1292.6–328
20674.10.2–13.6311.2289.6–329.4
20683.80.2–13.6310.8292.4–330.6
20695.50.5–16.8315.5296.1–329.5
20704.50.2–17.2314.2292.9–330.7
20713.80.3–16313.8296.4–330.8
207251.1–12.6314.8296–329.6
20735.31.3–17.1316.5299.9–332.1
20744.50.8–17.1317.2295–333.8
20756.20.4–18.6317.2295.3–331.4
207650.5–19.1317.4299.8–335
20774.60.3–18.1317.5297.3–335.9
20786.81–18.1315.9297.1–331.6
20796.80.5–25.3318.5300.5–332.3
20806.31.5–15.6319.8297.4–337.5
20815.51–20.5317.7299.5–334.9
20827.70.8–26.5317.9294.8–333
208360.4–17.4315297.8–332.9
20846.20.5–16.8316295.5–330
20856.40.7–19.1322.6300.8–334.7
20867.70.6–24.6319.4295.2–335.2
20877.60.7–25.8320.2302.2–334.7
20887.11.6–20.5321.4299.8–334.8
20897.20.5–21.9318.9296.4–338.1
20905.40.5–25.2317.6304–337.4
209110.30.6–23.7320.1299.8–336.1
20929.21.5–20316.3298–336.4
20936.20.6–20.8316.1297.7–333.7
20949.20.8–18.4323.4301.8–337.3
209591.3–20.5322.9302.4–338.9
20966.80.9–17.5319.6302.8–336.7
20976.40.3–19.6319.8299.1–336
20988.41.8–20.1320.5303.9–336
20996.10.8–17.6319.9303.1–334.4
21007.91.2–18.1320.8301.1–336.7

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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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