比利时与巴西对比

比利时与巴西：热带夜

2014 年热带夜：比利时为 0.2 夜，巴西为 282 夜（CMIP6 气候模型中位数模拟）。 2014 年巴西的数值较高，高出 281.8 夜，是比利时的 1,200 倍。

在地图上查看其变化

每年夜数 · CMIP6

比利时与巴西：热带夜2014 年热带夜：比利时为 0.2 夜，巴西为 282 夜（CMIP6 气候模型中位数模拟）。 2014 年巴西的数值较高，高出 281.8 夜，是比利时的 1,200 倍。
比利时巴西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，巴西的数值都更高。
  • 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年比利时为 7.7 夜，巴西为 317.3 夜。

逐年数据

每年夜数 · CMIP6

年份比利时巴西
20140.2282
20130.5282.5
20120.5283.6
20110.1281.8
20100.6280.2
20090.1279.2
20080277.8
20070275.9
20060275.4
20050.3275.8
20040.1278.5
20030.4276.7
20020276.2
20010277.7
20000273.3
19990.2271
19980273.6
19970270.9
19960264.7
19950263.8
19940263.6
19930258.3
19920252.8
19910269.7
19900272.5
19890267.1
19880264.7
19870265.9
19860265.7
19850260.6
19840261.1
19830255.9
19820264.8
19810265.3
19800262
19790261.2
19780259.7
19770261.8
19760258.4
19750252.4
19740258.7
19730261
19720258.1
19710256.5
19700254.5
19690255.1
19680254.9
19670250.3
19660254.5
19650250.8
19640246.2
19630241.9
19620257.9
19610258.2
19600260.3
19590255.7
19580258.1
19570256.6
19560251.2
19550257.2
19540258
19530255.2
19520255.8
19510256.3
19500254.4
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
年份比利时巴西
20150.10–3.4284257.6–299.5
20160.40–3.5281.5261.4–296.3
20170.30–4.5284.1263.2–297.8
20180.30–2.1283.4263.1–298.8
20190.40–3283.7262.9–302.4
20200.40–4.4286.3264.2–303.6
20210.30–3.8287.9266.9–302.3
20220.70–4.2289.6270.7–303.9
20230.60–4.8287.3270.5–303
20240.70–4.7291.5268.2–304.6
20251.30–5.8289.6269.1–304.8
20261.20–5.5289.7266.2–305.1
20270.80–3.6289.5269.1–303.7
20280.60–6291.2271.9–306
20291.10–4.6295.5276.3–309.6
20300.90–4292.2269.1–306.9
20310.70–4295.3274–308.9
20320.70–5.4296.8280.1–310.9
20330.90–5295.4273.3–308.5
20341.50–8.7294.3273.5–311.8
20351.20–7.3295.2274.4–310.9
20361.50–6.5295.1278.2–307.8
20371.60–7.1299.9283.7–311.3
20380.90–10.4299.6283.5–312.1
20390.90–5.5296.9279.9–311
204010–6.1298.5279.4–311.9
20411.80–7.2301.4282.2–314.1
20421.10–5.5300.6277.8–314.7
20431.80–6298.2279.8–312.7
20441.60.1–7.4300.3281.2–315.6
20452.10–7.4299.9279.7–313.1
20461.40.1–8302.8285.8–316.6
20472.50.1–8.4303.3285–316.4
20482.20–10.9304.4287.3–317.3
20492.70–9.2305.4288.4–318.5
20502.90.1–7.7303.9283.9–316.2
20511.70.1–6.5305.7287.5–317.5
20521.80–10.1305.9290.6–318.8
20531.20–7305.3285.9–317.5
20542.40.3–9.6306.1288.4–319.3
20551.80–5.7306.4290.8–319.8
20563.50.1–10.1306.7288.3–321.1
20572.70–9.4306.4287.6–321.1
20584.30.2–12.1309291–321.4
20592.70–11.7310.4290.7–322.8
20602.90.1–10.7311.6294.4–325.1
206130.2–11.5307.5290.3–321.2
20624.10.3–11.8309291.5–322.8
20632.30.2–11310.8290.6–322.8
20642.10.3–8.1309.6290.2–321.1
206530.1–14.1311.1291.6–323.1
20662.20–8.7312.2294.2–324.2
20676.60.7–16.4310.9291.5–323.3
20681.90–7.8311.5293–324.5
20694.20.7–11.9310.6292.2–323.6
20703.90.1–13.1312.7293–325.3
20714.20.1–13.5311.5292.1–323.9
20724.51.3–10.4313.3297.8–325.5
20733.70.1–15.1313.8298.6–327.2
207440.3–12.8311.4292.4–323.5
20753.60.2–15310.9291.5–324.5
20765.10.2–15.2314.2294.4–327.7
20774.40–14.7315.1295.6–326.8
20785.40.1–17.8314.9296.3–327.1
20793.10.3–13.4313292.8–326.8
20804.60.3–12311.9294.7–325.4
20815.50.1–14.9313.5295.5–325.6
20824.60.3–18.7315296.8–327.1
20834.50.7–14.2315.7295.3–328.7
20843.10.3–14316.6298.5–327.9
208540.3–16.3317.4299.3–329.8
20867.10.2–19.4315.8294–328
20877.30.2–23.2316.5297.9–328.5
20886.61.2–19.7315.6297.3–328.8
20895.71.2–11.1315296.6–327.9
20903.90–16.8316298.9–330.3
20917.60.2–16.1317298.1–330.6
20925.60.1–15317.6298.7–330.7
20933.70.3–13.6316.3297.5–328.6
209461.5–17316.4300.2–327.5
20957.10.2–17.3319299.8–330.7
20966.70.1–18.3317.7299.5–330.8
20973.30.2–17.2316.9297.8–329
20985.90.4–17.2318.6299.9–331.9
20994.90.1–22318.1300–330.2
21007.70.5–15.1317.3298.4–330.3

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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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