The cut
800 metres, to scale.
A slice through Greenland's Grand Canyon where it is deepest and narrowest, measured on the Copernicus relief model every 30 m. Same scale as the landmark standing on the floor.
800m
Depth
750km
Length
Rim to floor
Afternoons, up top and down below.
In July the afternoon reaches -7 °C. The rim freezes at night all year round.
- -35°-35°Jan
- -36°-36°Feb
- -35°-35°Mar
- -27°-27°Apr
- -16°-16°May
- -8°-8°Jun
- -7°-7°Jul
- -11°-11°Aug
- -20°-20°Sep
- -27°-27°Oct
- -32°-32°Nov
- -34°-34°Dec
Afternoon highs, 1991–2020 averages (NASA POWER) brought to the altitude of the rim and of the floor with the standard lapse rate (6.5 °C per 1 000 m). Shade, wind and rock change this on the day. Not a forecast.
Canyon in Greenland
Greenland's Grand Canyon is a canyon in Greenland. The published depth is 800 m. It runs for 750 km.
Plan the visit
Guided hikes, a bed nearby, a car.
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In our other atlases
What else is around Greenland's Grand Canyon.
The river that carved it, the waterfalls inside it, the mountains on the rim, the lakes, beaches and island nearby — from our six sister atlases, each with its own figures.
Figures from the sister sites' databases (Wikidata, HydroATLAS, GeoNames, NOAA, OpenStreetMap). Links open when each site is online.
Month by month
The weather, at the floor and at the rim.
| Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Afternoon · floor | -35 | -36 | -35 | -27 | -16 | -8 | -7 | -11 | -20 | -27 | -32 | -34 |
| Afternoon · rim | -35 | -36 | -35 | -27 | -16 | -8 | -7 | -11 | -20 | -27 | -32 | -34 |
| Night · rim | -40 | -41 | -40 | -33 | -22 | -13 | -11 | -16 | -25 | -31 | -37 | -39 |
| Rain (mm) | 7 | 5 | 7 | 8 | 10 | 16 | 18 | 27 | 12 | 14 | 9 | 7 |
| Rainy days | 1 | 1 | 1 | 2 | 3 | 5 | 6 | 7 | 4 | 3 | 2 | 1 |
| Sun hours/day | — | 2.6 | 5.8 | 11.8 | 18.6 | 21.3 | 18.5 | 12.9 | 9.0 | 3.6 | — | — |
| Afternoon · floor | Afternoon · rim | Night · rim | Rain (mm) | Sun hours/day | |
|---|---|---|---|---|---|
| Jan | -35 | -35 | -40 | 7 | — |
| Feb | -36 | -36 | -41 | 5 | 2.6 |
| Mar | -35 | -35 | -40 | 7 | 5.8 |
| Apr | -27 | -27 | -33 | 8 | 11.8 |
| May | -16 | -16 | -22 | 10 | 18.6 |
| Jun | -8 | -8 | -13 | 16 | 21.3 |
| Jul | -7 | -7 | -11 | 18 | 18.5 |
| Aug | -11 | -11 | -16 | 27 | 12.9 |
| Sep | -20 | -20 | -25 | 12 | 9.0 |
| Oct | -27 | -27 | -31 | 14 | 3.6 |
| Nov | -32 | -32 | -37 | 9 | — |
| Dec | -34 | -34 | -39 | 7 | — |
Averages 1991–2020 (NASA POWER) for a cell about 55 km wide, brought to the floor (— m) and the rim (— m) with the standard lapse rate. Not a forecast.
Recent years
Wet years, dry years.
Rain of each month as a share of the 1991–2020 average. A dry year means a lower river and hotter rock; a wet one, more water in the gorge.
| Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020 | 41% | 51% | 52% | 211% | 42% | 106% | 84% | 136% | 56% | 133% | 100% | 142% |
| 2021 | 132% | 110% | 52% | 171% | 152% | 71% | 110% | 81% | 56% | 261% | 68% | 80% |
| 2022 | 146% | 33% | 123% | 125% | 82% | 94% | 159% | 57% | 220% | 188% | 48% | 184% |
| 2023 | 54% | 76% | 131% | 107% | 91% | 71% | 233% | 195% | 185% | 49% | 87% | 46% |
| 2024 | 68% | 131% | 139% | 157% | 119% | 92% | 70% | 84% | 344% | 201% | 194% | 114% |
| 2025 | 91% | 76% | 223% | 79% | 265% | 144% | 205% | 28% | 120% | 113% | 187% | 62% |
130% or more: wet month 70% or less: dry month
Where these figures come from
| Name, type, published depth and length | Wikidata (Q14759900) · CC0 |
|---|---|
| Climate | NASA POWER, 1991–2020 |
| Viewpoints, trails, bridges and the river line | © OpenStreetMap contributors · ODbL |
| Images | EOX Sentinel-2 cloudless 2016 · CC BY 4.0; Wikimedia Commons |
| Rivers, waterfalls, mountains, lakes, beaches and islands nearby | Coastya, Lakeyas, Peakyas, Cascadyas, Islandyas, Riveryas |
Every figure is an average, an estimate or a count from a public dataset. Licences and methods: data sources.
The family
Do you prefer beaches, lakes, mountains, waterfalls, islands, rivers or canyons?
Same idea, other landscapes: field atlases built on open data, month by month, in seven languages.