PEAKLIST.ORG HOME | PROMINENCE
DATA (lists and maps) |
WORLD
ULTRAS HOMEPAGE |
US P2000s HOMEPAGE |
PROMINENCE THEORY (orometry) |
Download the complete set of Ultras in
KML for use with Google Earth: Ultras-KMZ-file (does not automatically download with all browsers)
Important:
All of the contents of the Ultras file are ©2004-2007 by
peaklist.org. Permission is granted for single-site,
non-commercial use. By downloading this file you agree not to use
or reproduce this file nor any data contained therein for any purpose,
including but not limited to reposting of any portion of the contents
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excerpting summary data. Citations of the source must reference
the copyright holder and the authors of the Ultras database, as
contained on this website. The authors wish to thank Kai Pieper of Atlogis for
compiling the kmz file.
The world is presented below in 43 lists by political-geographical region. Each list includes some footnotes describing controversies in summit elevations and prominence values. If you have more precise data that you believe is based on newer, technical surveys, we would like to hear from you.
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Level 1 | Precise |
Summits and Saddles are precisely map-checked and proofread. | United
States, Canada, Europe, Japan |
Level 2 | Good |
Summits
and Saddles are precisely map-checked and proofread. There are
less-than-perfect map
resources and therefore some reliance on raw SRTM data. |
Mexico,
Central America, New Guinea, Oceania, Russia |
Level 3 | Fair |
Summits
are map-checked, but there are multiple problems and contradictions
within published data sources.
Saddles are almost entirely derived from raw SRTM data. |
Africa,
Central Asia, Indonesia, |
Level 4 | Provisional
|
Data
mostly comes from SRTM and Soviet mapping, and is augmented only
inconsistently by some newer
survey data. Chinese data is taken from multiple sources, as the
topographic survey is restricted from viewing. |
South
and East Asia,
South America |
Level
5 |
Rough |
Voids
in DEM and mapping resources mean that lists are incomplete.
Inclusion of mountains is presumed accurate, but P-values are
provisional. |
Antarctica,
Greenland, Canadian Arctic |
1. Everest,
China
and Nepal 2. Aconcagua, Argentina 3. McKinley, United States 4. Kilimanjaro, Tanzania 5. Cristobal Colon, Colombia 6. Logan, Canada 7. Orizaba, Mexico 8. Vinson Massif, Antarctica 9. Puncak Jaya, Indonesia 10. Elbrus, Russia 11. Mont Blanc, France 12. Damavand, Iran 13. Klyuchevskaya, Russia 14. Nanga Parbat, Pakistan 15. Mauna Kea, United States 16. Jengish Chokusu, Kyrgyzstan and China 17. Chimborazo, Ecuador |
18. Bogda Shan,
China 19. Namcha Barwa, China 20. Kinabalu, Malaysia 21. Rainier, United States 22. K2, Pakistan 23. Ras Dashan, Ethiopia 24. Tajumulco, Guatemala 25. Cameroon, Cameroon 26. Bolivar, Venezuela 27. Yu Shan, Taiwan 28. Margherita, Congo and Uganda 29. Fairweather, Canada and United States 30. Kangchenjunga, India and Nepal 31. Tirich Mir, Pakistan 32. Kenya, Kenya 33. Kerinci, Indonesia 34. Erebus, Antarctica |
35. Fuji, Japan 36. Cook, New Zealand 37. Jebel Toubkal, Morocco 38. Finisterre, Papua New Guinea 39. Chirripo, Costa Rica 40. Rinjani, Indonesia 41. Teide, Spain 42. San Valentin, Chile 43. Gunnbjørnsfjeld, Greenland 44. Ojos del Salado, Argentina and Chile 45. Semeru, Indonesia 46. Kongur Shan, China 47. Minya Konka, China 48. Ararat, Turkey 49. Ritacuba Blanco, Colombia 50. Blackburn, United States |