法国与菲律宾对比

法国与菲律宾:热带夜

2014 年热带夜:法国为 3.1 夜,菲律宾为 331.5 夜(CMIP6 气候模型中位数模拟)。 2014 年菲律宾的数值较高,高出 328.4 夜,是法国的 110 倍。

每年夜数 · CMIP6

法国与菲律宾:热带夜2014 年热带夜:法国为 3.1 夜,菲律宾为 331.5 夜(CMIP6 气候模型中位数模拟)。 2014 年菲律宾的数值较高,高出 328.4 夜,是法国的 110 倍。
法国菲律宾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,菲律宾的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年法国为 19.2 夜,菲律宾为 351.3 夜。

逐年数据

每年夜数 · CMIP6

年份法国菲律宾
20143.1331.5
20133.1330.9
20122.9331.1
20112.7329.8
20103.9330.6
20092.5329
20082.4327.5
20072.1327.8
20062.6328.7
20052.9329.7
20042.7329.4
20032.6327.1
20021.8328.9
20012.3327.8
20001.8326.8
19992.1327.5
19981.5326.5
19971.6325.4
19961.5324.6
19951.3324.2
19941.5321.5
19931.1319.5
19921318.4
19911.8324.1
19901.9323.5
19891.2322.5
19881.2324
19871.3323.1
19860.9322.1
19850.9321.4
19841.1321.7
19831.1319.4
19821320.5
19811.1320.4
19801.2322.7
19790.9321.2
19781.3320.6
19770.9319.8
19760.8319.6
19750.9319.6
19741.2320
19730.9319.4
19720.9318.9
19711318.8
19700.9319
19691318.7
19680.9317.2
19670.8317.4
19660.8318.8
19650.7317.2
19641314.9
19630.9317.2
19621.1318.6
19610.9319.3
19601.1318.6
19591.2320.5
19581321.8
19571319.4
19561.2320
19551.1319.3
19541.3317.7
19531320
19521.3319
19511.1319.8
19501.2320.4
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份法国菲律宾
20153.61.5–8.6333319.8–339.5
20164.11.5–9.9334.2322.8–340.7
20173.51.3–10.2333.4319.7–339.8
20183.91.7–10.8333.2320.1–340.1
20194.51.6–9334.1323.4–341.2
20204.11.6–10.5334.6322.6–341.8
20214.51.3–13.2335.6323.3–341.1
202251.5–12.5335.7323.3–342.1
20234.81.6–12.5336.7324.8–343.2
20245.51.8–11.2337.2325.7–343.9
20255.81.5–12.1336.3326.2–342.8
20266.22.1–12.7336.5322.9–343
20275.41.7–11.2336.2325.7–342.3
20285.91.7–13.3337.1325.5–343.8
20296.31.9–12.6338.1327.2–344.6
20305.82.1–11.9337.7326.2–344.4
20315.92–11.8337.1325.6–343.8
20325.92.7–12.9339.4329.5–346.1
203372.5–13.6339.7329.6–345.5
20347.92.4–17.3338.8328.8–345
20356.92.4–14.4338.6327.5–346.4
20367.32.6–14.6339.6327.8–346.9
20377.32.6–13.3339.8329.1–345.5
20386.53–15.1341.9330.7–347.7
20396.92.6–14.3341.2330.4–346.9
20407.72.3–16340.4328.1–347.6
20418.12.6–15.2341.1329.1–346.7
20426.93–16342331.4–347.7
20437.92.8–15.6341.3329–348.1
20447.93.1–16.6342.8329.9–349.8
20459.23.2–19.6343.4333.8–348.7
20468.93.2–17.6342.7330.2–348.7
20479.74–19.2343.2331.7–350.6
20489.13.4–17343.3332.7–350.6
204910.13.7–20.8343.2332.5–349.5
205010.94.8–18.9344.3332.6–349.9
20519.23.5–18.4344.4334.9–350.8
2052103.4–21.2344.1333.5–350.9
20538.73.8–18344.3333.6–350.3
20549.74.4–19.2343.4332–349.9
20559.93.9–17.2344.3334.4–350.5
2056114.3–21.8345334.6–352.6
205710.94.2–19.8345.5335.1–351.5
205813.85.1–25.7345.8334.3–351.3
205911.23.3–25345.5333.7–351.6
206012.86.1–22346.8335.5–353.5
206112.64.7–23.2345.9335–351.8
206212.36.2–22.4346335.2–353.5
2063125.2–24.9346.6336.2–352.8
2064125.3–21.6346.9335.3–353
206512.53.9–30.8346.1335.9–351.9
206611.55.3–22.1346.5335.4–352.4
206718.38.1–33.3346.1335.4–352
2068135.4–23.4347.1335.1–354.1
206915.65.7–25.5347333.8–353.6
207013.55.2–29.1346.7336.1–352.7
2071154.4–30.2347.6336.2–353.9
207215.57.4–26347334.4–353.8
207313.96–29.1348.4336.7–355
207412.84.3–27.3348.6337–354.9
207513.96.3–25.6347.9337.2–354
2076166.1–33.8348.4337–355.1
207713.25–29.8348.7337–354.8
207813.75.1–33.6348.4338.2–354.7
207912.95.3–28.4348.8337.6–354.7
208014.45.4–27.9349.1338.4–355.9
208115.15.8–29.8348.8336.9–355.1
208216.46.1–33.9349.6338–354.9
208315.97.9–32349.9337.9–356.1
208414.16.6–27.7349.5336.7–356.4
208516.57.3–30.2349.1338.2–355.4
208619.55.5–32.4349.4337.5–354.9
2087196.9–38349.7338.7–356
208818.47.7–35.2349.9338.9–356.1
20891910.6–29.3350.2339.8–355.2
209016.36.8–33.5350.1339.7–355.9
209119.77.6–32.3349.5339.5–356.3
209217.36.1–32.7350.5339.3–356.1
2093156.5–29.8350.4337.9–356.5
209418.68.5–32.8350.5338.4–355.9
209519.25.9–38.9350.5338.3–355.7
209619.37.6–35.5351.1339–358
209717.36.2–36.1350.2339.3–355.6
209818.16.9–36.3350.3337.4–355.2
209920.37.4–34.6350.6339.3–356.4
210019.27–36.7351.3340.2–356.3

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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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