Evidence map›Paper›PMID 33627684›Full record

ArticleScientific reports2021

Greenland-wide inventory of ice marginal lakes using a multi-method approach.

Penelope How, Alexandra Messerli, Eva Mätzler, Maurizio Santoro, Andreas Wiesmann, Rafael Caduff, Kirsty Langley, Mikkel Høegh Bojesen, Frank Paul, Andreas Kääb and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Penelope HowAsiaq Greenland Survey, Nuuk, Greenland. how@asiaq.gl.
Alexandra MesserliAsiaq Greenland Survey, Nuuk, Greenland.
Eva MätzlerAsiaq Greenland Survey, Nuuk, Greenland.
Maurizio SantoroGamma Remote Sensing, Gümligen, Switzerland.
Andreas WiesmannGamma Remote Sensing, Gümligen, Switzerland.
Rafael CaduffGamma Remote Sensing, Gümligen, Switzerland.
Kirsty LangleyAsiaq Greenland Survey, Nuuk, Greenland.
Mikkel Høegh BojesenAsiaq Greenland Survey, Nuuk, Greenland.
Frank PaulDepartment of Geography, University of Zurich, Zurich, Switzerland.
Andreas KääbDepartment of Geosciences, University of Oslo, Oslo, Norway.
Jonathan L CarrivickSchool of Geography and Water@Leeds, University of Leeds, Leeds, UK.

Funding

European Space Agency 4000109873/14/I-NB
6 · The paper itself

Abstract

Ice marginal lakes are a dynamic component of terrestrial meltwater storage at the margin of the Greenland Ice Sheet. Despite their significance to the sea level budget, local flood hazards and bigeochemical fluxes, there is a lack of Greenland-wide research into ice marginal lakes. Here, a detailed multi-sensor inventory of Greenland's ice marginal lakes is presented based on three well-established detection methods to form a unified remote sensing approach. The inventory consists of 3347 ([Formula: see text]%) ice marginal lakes ([Formula: see text]) detected for the year 2017. The greatest proportion of lakes lie around Greenland's ice caps and mountain glaciers, and the southwest margin of the ice sheet. Through comparison to previous studies, a [Formula: see text]% increase in lake frequency is evident over the west margin of the ice sheet since 1985. This suggests it is becoming increasingly important to include ice marginal lakes in future sea level projections, where these lakes will form a dynamic storage of meltwater that can influence outlet glacier dynamics. Comparison to existing global glacial lake inventories demonstrate that up to 56% of ice marginal lakes could be unaccounted for in global estimates of ice marginal lake change, likely due to the reliance on a single lake detection method.

Identifiers

PMID33627684
PMCPMC7904918

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.