Greenland ice sheet melt area from MODIS (2000–2014)

Robert S. Fausto; Dirk van As; Jens A. Antoft; Jason E. Box; William Colgan; Signe B. Andersen; Andreas P. Ahlstrøm; Morten L. Andersen; Michele Citterio; Charalampos Charalampidis; Karen Edelvang; Konstanze Haubner; Signe H. Larsen; Martin Veicherts; Anker Weidick

doi:10.34194/geusb.v33.4498

Greenland ice sheet melt area from MODIS (2000–2014)

Robert S. Fausto, Dirk van As, Jens A. Antoft, Jason E. Box, William Colgan, Signe B. Andersen, Andreas P. Ahlstrøm, Morten L. Andersen, Michele Citterio, Charalampos Charalampidis, Karen Edelvang, Konstanze Haubner, Signe H. Larsen, Martin Veicherts, Anker Weidick

Publikation: Bidrag til tidsskrift › Artikel › Forskning › peer review

5 Citationer (Scopus)

Abstrakt

The Greenland ice sheet is an excellent observatory for global climate change. Meltwater from the 1.8 million km2 large ice sheet influences oceanic temperature and salinity, nutrient fluxes and global sea level (IPCC 2013). Surface reflectivity is a key driver of surface melt rates (Box et al. 2012). Mapping of different ice-sheet surface types provides a clear indicator of where changes in ice-sheet surface reflectivity are most prominent. Here, we present an updated version of a surface classification algorithm that utilises NASA’s Moderate resolution Imaging Spectroradiometer (MODIS) sensor on the Terra satellite to systematically monitor ice-sheet surface melt (Fausto et al. 2007). Our aim is to determine the areal extent of three surface types over the 2000–2014 period: glacier ice, melting snow (including percolation areas) and dry snow (Cuffey & Paterson 2010). Monthly 1 km2 resolution surface-type grids can be downloaded via the CryoClim internet portal (www.cryoclim.net). In this report, we briefly describe the updated classification algorithm, validation of surface types and inter-annual variability in surface types.

Originalsprog	Engelsk
Sider (fra-til)	57-60
Antal sider	4
Tidsskrift	Geological Survey of Denmark and Greenland Bulletin
Vol/bind	33
DOI	https://doi.org/10.34194/geusb.v33.4498
Status	Udgivet - 7 jul. 2015

Programområde

Programområde 5: Natur og klima

FN’s Verdensmål

Dette resultat bidrager til følgende verdensmål

Adgang til dokumentet

10.34194/geusb.v33.4498Licens: CC BY

Citationsformater

Fausto, R. S., van As, D., Antoft, J. A., Box, J. E., Colgan, W., Andersen, S. B., Ahlstrøm, A. P., Andersen, M. L., Citterio, M., Charalampidis, C., Edelvang, K., Haubner, K., Larsen, S. H., Veicherts, M., & Weidick, A. (2015). Greenland ice sheet melt area from MODIS (2000–2014). Geological Survey of Denmark and Greenland Bulletin, 33, 57-60. https://doi.org/10.34194/geusb.v33.4498

@article{ccbc7bdf467046848fff93840fff9486,

title = "Greenland ice sheet melt area from MODIS (2000–2014)",

abstract = "The Greenland ice sheet is an excellent observatory for global climate change. Meltwater from the 1.8 million km2 large ice sheet influences oceanic temperature and salinity, nutrient fluxes and global sea level (IPCC 2013). Surface reflectivity is a key driver of surface melt rates (Box et al. 2012). Mapping of different ice-sheet surface types provides a clear indicator of where changes in ice-sheet surface reflectivity are most prominent. Here, we present an updated version of a surface classification algorithm that utilises NASA{\textquoteright}s Moderate resolution Imaging Spectroradiometer (MODIS) sensor on the Terra satellite to systematically monitor ice-sheet surface melt (Fausto et al. 2007). Our aim is to determine the areal extent of three surface types over the 2000–2014 period: glacier ice, melting snow (including percolation areas) and dry snow (Cuffey & Paterson 2010). Monthly 1 km2 resolution surface-type grids can be downloaded via the CryoClim internet portal (www.cryoclim.net). In this report, we briefly describe the updated classification algorithm, validation of surface types and inter-annual variability in surface types.",

author = "Fausto, {Robert S.} and {van As}, Dirk and Antoft, {Jens A.} and Box, {Jason E.} and William Colgan and Andersen, {Signe B.} and Ahlstr{\o}m, {Andreas P.} and Andersen, {Morten L.} and Michele Citterio and Charalampos Charalampidis and Karen Edelvang and Konstanze Haubner and Larsen, {Signe H.} and Martin Veicherts and Anker Weidick",

note = "Funding Information: The Programme for Monitoring of the Greenland Ice Sheet (PROMICE) is funded by the Geological Survey of Denmark and Greenland (GEUS) and the Danish Ministry of Climate, Energy and Building under Danish Cooperation for Environment in the Arctic (DANCEA), and is conducted in collaboration with the National Space Institute (DTU Space) and Asiaq (Greenland Survey). The NUK and KAN stations were/are (co-)funded by the Greenland Climate Research Centre (GCRC) and the Greenland Analogue Project (GAP), respectively. Thanks to T. Mote for making the passive microwave product (PMP) available. This study was funded by DK ESA-PRODEX under the CryoClim project.",

year = "2015",

month = jul,

day = "7",

doi = "10.34194/geusb.v33.4498",

language = "English",

volume = "33",

pages = "57--60",

journal = "Geological Survey of Denmark and Greenland Bulletin",

issn = "1604-8156",

publisher = "De Nationale Geologiske Unders{\o}gelser for Danmark og Gr{\o}nland",

}

TY - JOUR

T1 - Greenland ice sheet melt area from MODIS (2000–2014)

AU - Fausto, Robert S.

AU - van As, Dirk

AU - Antoft, Jens A.

AU - Box, Jason E.

AU - Colgan, William

AU - Andersen, Signe B.

AU - Ahlstrøm, Andreas P.

AU - Andersen, Morten L.

AU - Citterio, Michele

AU - Charalampidis, Charalampos

AU - Edelvang, Karen

AU - Haubner, Konstanze

AU - Larsen, Signe H.

AU - Veicherts, Martin

AU - Weidick, Anker

N1 - Funding Information: The Programme for Monitoring of the Greenland Ice Sheet (PROMICE) is funded by the Geological Survey of Denmark and Greenland (GEUS) and the Danish Ministry of Climate, Energy and Building under Danish Cooperation for Environment in the Arctic (DANCEA), and is conducted in collaboration with the National Space Institute (DTU Space) and Asiaq (Greenland Survey). The NUK and KAN stations were/are (co-)funded by the Greenland Climate Research Centre (GCRC) and the Greenland Analogue Project (GAP), respectively. Thanks to T. Mote for making the passive microwave product (PMP) available. This study was funded by DK ESA-PRODEX under the CryoClim project.

PY - 2015/7/7

Y1 - 2015/7/7

N2 - The Greenland ice sheet is an excellent observatory for global climate change. Meltwater from the 1.8 million km2 large ice sheet influences oceanic temperature and salinity, nutrient fluxes and global sea level (IPCC 2013). Surface reflectivity is a key driver of surface melt rates (Box et al. 2012). Mapping of different ice-sheet surface types provides a clear indicator of where changes in ice-sheet surface reflectivity are most prominent. Here, we present an updated version of a surface classification algorithm that utilises NASA’s Moderate resolution Imaging Spectroradiometer (MODIS) sensor on the Terra satellite to systematically monitor ice-sheet surface melt (Fausto et al. 2007). Our aim is to determine the areal extent of three surface types over the 2000–2014 period: glacier ice, melting snow (including percolation areas) and dry snow (Cuffey & Paterson 2010). Monthly 1 km2 resolution surface-type grids can be downloaded via the CryoClim internet portal (www.cryoclim.net). In this report, we briefly describe the updated classification algorithm, validation of surface types and inter-annual variability in surface types.

AB - The Greenland ice sheet is an excellent observatory for global climate change. Meltwater from the 1.8 million km2 large ice sheet influences oceanic temperature and salinity, nutrient fluxes and global sea level (IPCC 2013). Surface reflectivity is a key driver of surface melt rates (Box et al. 2012). Mapping of different ice-sheet surface types provides a clear indicator of where changes in ice-sheet surface reflectivity are most prominent. Here, we present an updated version of a surface classification algorithm that utilises NASA’s Moderate resolution Imaging Spectroradiometer (MODIS) sensor on the Terra satellite to systematically monitor ice-sheet surface melt (Fausto et al. 2007). Our aim is to determine the areal extent of three surface types over the 2000–2014 period: glacier ice, melting snow (including percolation areas) and dry snow (Cuffey & Paterson 2010). Monthly 1 km2 resolution surface-type grids can be downloaded via the CryoClim internet portal (www.cryoclim.net). In this report, we briefly describe the updated classification algorithm, validation of surface types and inter-annual variability in surface types.

UR - http://www.scopus.com/inward/record.url?scp=84937057656&partnerID=8YFLogxK

U2 - 10.34194/geusb.v33.4498

DO - 10.34194/geusb.v33.4498

M3 - Article

SN - 1604-8156

VL - 33

SP - 57

EP - 60

JO - Geological Survey of Denmark and Greenland Bulletin

JF - Geological Survey of Denmark and Greenland Bulletin

ER -

Greenland ice sheet melt area from MODIS (2000–2014)

Abstrakt

Programområde

FN’s Verdensmål

Adgang til dokumentet

Fingeraftryk

Citationsformater