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Direct measurements of meltwater runoff on the Greenland ice sheet surface

Meltwater runoff from the Greenland ice sheet surface influences surface mass balance (SMB), ice dynamics, and global sea level rise, but is estimated with climate models and thus difficult to validate. We present a way to measure ice surface runoff directly, from hourly in situ supraglacial river d...

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Autores principales: Smith, Laurence C., Yang, Kang, Pitcher, Lincoln H, Overstreet, Brandon T., Chu, Vena W., Rennermalm, Åsa K., Ryan, Jonathan C., Cooper, Matthew G., Gleason, Colin J., Tedesco, Marco, Jeyaratnam, Jeyavinoth, van As, Dirk, van den Broeke, Michiel R., van de Berg, Willem Jan, Noël, Brice, Langen, Peter L., Cullather, Richard I., Zhao, Bin, Willis, Michael J., Hubbard, Alun, Box, Jason E., Jenner, Brittany A., Behar, Alberto E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5740616/
https://www.ncbi.nlm.nih.gov/pubmed/29208716
http://dx.doi.org/10.1073/pnas.1707743114
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author Smith, Laurence C.
Yang, Kang
Pitcher, Lincoln H
Overstreet, Brandon T.
Chu, Vena W.
Rennermalm, Åsa K.
Ryan, Jonathan C.
Cooper, Matthew G.
Gleason, Colin J.
Tedesco, Marco
Jeyaratnam, Jeyavinoth
van As, Dirk
van den Broeke, Michiel R.
van de Berg, Willem Jan
Noël, Brice
Langen, Peter L.
Cullather, Richard I.
Zhao, Bin
Willis, Michael J.
Hubbard, Alun
Box, Jason E.
Jenner, Brittany A.
Behar, Alberto E.
author_facet Smith, Laurence C.
Yang, Kang
Pitcher, Lincoln H
Overstreet, Brandon T.
Chu, Vena W.
Rennermalm, Åsa K.
Ryan, Jonathan C.
Cooper, Matthew G.
Gleason, Colin J.
Tedesco, Marco
Jeyaratnam, Jeyavinoth
van As, Dirk
van den Broeke, Michiel R.
van de Berg, Willem Jan
Noël, Brice
Langen, Peter L.
Cullather, Richard I.
Zhao, Bin
Willis, Michael J.
Hubbard, Alun
Box, Jason E.
Jenner, Brittany A.
Behar, Alberto E.
author_sort Smith, Laurence C.
collection PubMed
description Meltwater runoff from the Greenland ice sheet surface influences surface mass balance (SMB), ice dynamics, and global sea level rise, but is estimated with climate models and thus difficult to validate. We present a way to measure ice surface runoff directly, from hourly in situ supraglacial river discharge measurements and simultaneous high-resolution satellite/drone remote sensing of upstream fluvial catchment area. A first 72-h trial for a 63.1-km(2) moulin-terminating internally drained catchment (IDC) on Greenland’s midelevation (1,207–1,381 m above sea level) ablation zone is compared with melt and runoff simulations from HIRHAM5, MAR3.6, RACMO2.3, MERRA-2, and SEB climate/SMB models. Current models cannot reproduce peak discharges or timing of runoff entering moulins but are improved using synthetic unit hydrograph (SUH) theory. Retroactive SUH applications to two older field studies reproduce their findings, signifying that remotely sensed IDC area, shape, and supraglacial river length are useful for predicting delays in peak runoff delivery to moulins. Applying SUH to HIRHAM5, MAR3.6, and RACMO2.3 gridded melt products for 799 surrounding IDCs suggests their terminal moulins receive lower peak discharges, less diurnal variability, and asynchronous runoff timing relative to climate/SMB model output alone. Conversely, large IDCs produce high moulin discharges, even at high elevations where melt rates are low. During this particular field experiment, models overestimated runoff by +21 to +58%, linked to overestimated surface ablation and possible meltwater retention in bare, porous, low-density ice. Direct measurements of ice surface runoff will improve climate/SMB models, and incorporating remotely sensed IDCs will aid coupling of SMB with ice dynamics and subglacial systems.
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spelling pubmed-57406162018-01-22 Direct measurements of meltwater runoff on the Greenland ice sheet surface Smith, Laurence C. Yang, Kang Pitcher, Lincoln H Overstreet, Brandon T. Chu, Vena W. Rennermalm, Åsa K. Ryan, Jonathan C. Cooper, Matthew G. Gleason, Colin J. Tedesco, Marco Jeyaratnam, Jeyavinoth van As, Dirk van den Broeke, Michiel R. van de Berg, Willem Jan Noël, Brice Langen, Peter L. Cullather, Richard I. Zhao, Bin Willis, Michael J. Hubbard, Alun Box, Jason E. Jenner, Brittany A. Behar, Alberto E. Proc Natl Acad Sci U S A PNAS Plus Meltwater runoff from the Greenland ice sheet surface influences surface mass balance (SMB), ice dynamics, and global sea level rise, but is estimated with climate models and thus difficult to validate. We present a way to measure ice surface runoff directly, from hourly in situ supraglacial river discharge measurements and simultaneous high-resolution satellite/drone remote sensing of upstream fluvial catchment area. A first 72-h trial for a 63.1-km(2) moulin-terminating internally drained catchment (IDC) on Greenland’s midelevation (1,207–1,381 m above sea level) ablation zone is compared with melt and runoff simulations from HIRHAM5, MAR3.6, RACMO2.3, MERRA-2, and SEB climate/SMB models. Current models cannot reproduce peak discharges or timing of runoff entering moulins but are improved using synthetic unit hydrograph (SUH) theory. Retroactive SUH applications to two older field studies reproduce their findings, signifying that remotely sensed IDC area, shape, and supraglacial river length are useful for predicting delays in peak runoff delivery to moulins. Applying SUH to HIRHAM5, MAR3.6, and RACMO2.3 gridded melt products for 799 surrounding IDCs suggests their terminal moulins receive lower peak discharges, less diurnal variability, and asynchronous runoff timing relative to climate/SMB model output alone. Conversely, large IDCs produce high moulin discharges, even at high elevations where melt rates are low. During this particular field experiment, models overestimated runoff by +21 to +58%, linked to overestimated surface ablation and possible meltwater retention in bare, porous, low-density ice. Direct measurements of ice surface runoff will improve climate/SMB models, and incorporating remotely sensed IDCs will aid coupling of SMB with ice dynamics and subglacial systems. National Academy of Sciences 2017-12-12 2017-12-05 /pmc/articles/PMC5740616/ /pubmed/29208716 http://dx.doi.org/10.1073/pnas.1707743114 Text en Copyright © 2017 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle PNAS Plus
Smith, Laurence C.
Yang, Kang
Pitcher, Lincoln H
Overstreet, Brandon T.
Chu, Vena W.
Rennermalm, Åsa K.
Ryan, Jonathan C.
Cooper, Matthew G.
Gleason, Colin J.
Tedesco, Marco
Jeyaratnam, Jeyavinoth
van As, Dirk
van den Broeke, Michiel R.
van de Berg, Willem Jan
Noël, Brice
Langen, Peter L.
Cullather, Richard I.
Zhao, Bin
Willis, Michael J.
Hubbard, Alun
Box, Jason E.
Jenner, Brittany A.
Behar, Alberto E.
Direct measurements of meltwater runoff on the Greenland ice sheet surface
title Direct measurements of meltwater runoff on the Greenland ice sheet surface
title_full Direct measurements of meltwater runoff on the Greenland ice sheet surface
title_fullStr Direct measurements of meltwater runoff on the Greenland ice sheet surface
title_full_unstemmed Direct measurements of meltwater runoff on the Greenland ice sheet surface
title_short Direct measurements of meltwater runoff on the Greenland ice sheet surface
title_sort direct measurements of meltwater runoff on the greenland ice sheet surface
topic PNAS Plus
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5740616/
https://www.ncbi.nlm.nih.gov/pubmed/29208716
http://dx.doi.org/10.1073/pnas.1707743114
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