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Foreword: Synthesis of the Greenland Ecosystem Monitoring program.

https://arctichealth.org/en/permalink/ahliterature279926
Source
Ambio. 2017 Feb;46(Suppl 1):1-2
Publication Type
Article
Date
Feb-2017

Postscript: The future of the Greenland Ecosystem Monitoring programme.

https://arctichealth.org/en/permalink/ahliterature279927
Source
Ambio. 2017 Feb;46(Suppl 1):174-177
Publication Type
Article
Date
Feb-2017

Towards quantifying the glacial runoff signal in the freshwater input to Tyrolerfjord-Young Sound, NE Greenland.

https://arctichealth.org/en/permalink/ahliterature279929
Source
Ambio. 2017 Feb;46(Suppl 1):146-159
Publication Type
Article
Date
Feb-2017
Author
Michele Citterio
Mikael K Sejr
Peter L Langen
Ruth H Mottram
Jakob Abermann
Signe Hillerup Larsen
Kirstine Skov
Magnus Lund
Source
Ambio. 2017 Feb;46(Suppl 1):146-159
Date
Feb-2017
Language
English
Publication Type
Article
Keywords
Arctic Regions
Climate change
Ecological Parameter Monitoring
Fresh Water
Greenland
Ice Cover
Models, Theoretical
Snow
Temperature
Weather
Abstract
Terrestrial freshwater runoff strongly influences physical and biogeochemical processes at the fjord scale and can have global impacts when considered at the Greenland scale. We investigate the performance of the HIRHAM5 regional climate model over the catchments delivering freshwater to Tyrolerfjord and Young Sound by comparing to the unique Greenland Ecological Monitoring database of in situ observations from this region. Based on these findings, we estimate and discuss the fraction of runoff originating from glacierized and non-glacierized land delivered at the daily scale between 1996 and 2008. We find that glaciers contributed on average 50-80% of annual terrestrial runoff when considering different sections of Tyrolerfjord-Young Sound, but snowpack depletion on land and consequently runoff happens about one month earlier in the model than observed in the field. The temporal shift in the model is a likely explanation why summer surface salinity in the inner fjord did not correlate to modelled runoff.
PubMed ID
28116690 View in PubMed
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