Croatia vs Montenegro

Croatia vs Montenegro: Tropical nights

Tropical nights in 2014: 17.7 nights in Croatia and 11.4 nights in Montenegro, in the CMIP6 climate models’ median run. In 2014 the value was higher in Croatia, by 6.3 nights, or 1.56 times that in Montenegro.

Watch it change on the map

nights a year · CMIP6

Croatia vs Montenegro: Tropical nightsTropical nights in 2014: 17.7 nights in Croatia and 11.4 nights in Montenegro, in the CMIP6 climate models’ median run. In 2014 the value was higher in Croatia, by 6.3 nights, or 1.56 times that in Montenegro.
CroatiaMontenegroCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Croatia has been higher since 1993, when it overtook Montenegro.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Croatia at 52.7 nights and Montenegro at 25.1 nights in 2100.

Every year

nights a year · CMIP6

YearCroatiaMontenegro
201417.711.4
201314.811
201215.511.1
201116.611
201016.811.4
200913.910.7
200814.510.5
200711.710
200614.810.8
200513.210.2
200414.110.2
200313.710.5
200211.99.8
200111.810.3
200013.210.5
199911.49.4
199810.89.4
199710.29.2
199611.29.2
1995108.6
199498.7
19938.58.3
19927.88.1
19919.99.1
19909.49.1
19898.98.2
198888.4
198787.8
19868.38.3
19857.88.1
19848.18.5
19837.87.8
19827.37.8
19817.27.6
19808.68
19797.38.3
19788.78.3
19776.67.4
19767.48
19757.77.9
19747.47.4
19736.47.7
197277.8
19718.38.6
19707.37.6
196987.7
19686.97.5
19676.97.5
19667.17.4
19656.77.2
19647.27.4
19637.38.1
19627.58.1
196178.1
19608.18.5
19599.89.2
19587.58.2
19577.78
19569.78.9
19558.98.6
19547.57.8
19539.18.2
195298.4
19518.48.4
19507.88
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCroatiaMontenegro
201518.812.3–28.112.510.1–15.3
201618.69.5–30.112.78.4–16.3
201719.910.3–32.312.49.5–17.3
201819.211.5–32.212.69.7–16.9
201919.311.4–30.712.79.5–16.3
202021.910.2–34.213.39–17.6
202120.412.3–32.113.610.3–17.4
202224.410.4–36.7149.8–18.9
202320.411.6–35.513.510.1–17.3
202422.710.9–37.213.810.3–18.5
20252510.3–37.414.99.3–18.9
202625.714.8–37.515.211.1–18.3
202723.511.7–3814.410–19.5
202825.215–40.414.610.8–19
202924.713–43.315.19.9–20.4
20302613.6–38.815.611.6–19.3
203123.413.6–37.714.610.6–19.3
203227.114.8–46.515.211.2–22.1
203325.813.3–37.915.411.4–18.6
203427.613.4–4415.611–20.4
203529.515.1–45.615.911.7–21.4
20362915.8–45.415.912.1–21.2
203729.916.5–43.815.911.9–20.8
203827.416.1–52.11612.1–24.8
203929.915.8–43.316.311.6–20.8
204029.418–4516.211.7–21.7
204129.516.2–45.91611.6–21.1
204230.417.5–47.416.211.8–23.8
204332.618.9–45.217.312.6–21.6
204430.218.4–48.217.411.8–22.2
204533.216.2–44.318.112.5–22.8
204633.415.6–54.317.210.5–23.8
204736.421.8–54.118.212.8–23.8
204833.417.2–55.717.512.3–25.2
204936.216.5–51.51812.2–23.8
205036.222.9–51.818.113.6–24.3
205134.319.7–56.51913.4–25.2
205235.419.9–53.718.513–26.4
205332.922.1–50.518.514.2–23.6
205434.422.8–50.819.414.6–24.2
20553719.2–54.619.213.5–26.1
205635.522.5–56.419.413.1–25.1
205734.820.8–51.518.713.7–24.5
205841.919–62.120.713.5–28.8
205938.719.8–61.519.614–27
206038.324.6–52.519.215–26
206139.625.2–57.519.714.9–26.6
206239.622.7–55.819.514.6–26.3
20634221.3–60.920.713.5–28.1
20644124.2–60.120.315.1–26.8
206542.924.4–60.420.215.2–26.9
20664024.5–59.920.214.1–26.8
20674626.8–67.121.715.6–29.3
206842.931.2–5721.816.7–27.5
20694427.8–61.920.916.6–28.3
207040.525–6321.215.6–28.1
207147.120.1–67.621.214.4–32
20724729.9–65.222.316.9–28.6
207344.424.5–5821.415.5–27.9
20744124.1–63.219.814.9–27.6
20754329.3–65.620.716.9–28.6
207645.523.6–68.621.814.7–30.1
207744.527.4–62.821.515.4–29.7
207844.826.1–70.12215.3–30.6
207947.526.1–76.523.615.2–34.6
20804627.6–69.121.916.3–31.7
208144.127–65.921.215.8–30.1
20825032.6–72.824.416.1–32.6
20834525.1–6922.315.1–29.7
208450.733.5–68.123.418.2–32.1
20855329.8–66.22417.6–32.4
208651.329.3–72.323.716.9–31.1
208750.731.1–7122.816.9–32.3
20885533.5–71.124.817.6–35.7
208949.131.2–76.62416.7–35.3
209051.630.4–72.923.917.5–33.1
209155.731.1–76.425.117.4–33.9
209252.825.4–7223.815.3–36.2
209347.629.6–7224.417.2–35.5
20945130.8–73.322.917.2–34.1
209554.429.4–73.524.917.5–35.2
209649.128.2–81.122.817.6–37.2
209752.724.9–70.823.617.3–34
209851.929.5–72.825.417.9–36.8
209954.629–73.324.717–33.8
210052.729.5–70.325.116.5–33.4

Each country on its own

Good to know

  • Nights in a year when the temperature stays above 20 °C, averaged over the country.
  • Source: World Bank Climate Change Knowledge Portal, CMIP6 multi-model median.
  • The dashed line is the CMIP6 model median (SSP2-4.5, middle of the road), a scenario rather than a forecast; the band is its models’ 10th–90th percentile.
  • Climate model values are the median of the CMIP6 models, run on past emissions to 2014 and on SSP2-4.5, a middle-of-the-road path, after: they are not measurements.

How the layers work, where their data comes from and what they can’t tell you: Countries through time

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