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 - https://www.scopus.com/pages/publications/84937057656
U2 - 10.34194/geusb.v33.4498
DO - 10.34194/geusb.v33.4498
M3 - Article
VL - 33
SP - 57
EP - 60
JO - Geological Survey of Denmark and Greenland Bulletin
JF - Geological Survey of Denmark and Greenland Bulletin
ER -
Verdensmål 13 Klimaindsats