Delineation of Surface and Near-Surface Melt on the Greenland Ice Sheet using MODIS and QuikSCAT Data
Dorothy K. Hall1, Son V. Nghiem2, Crystal B. Schaaf3, Nicolo E. DiGirolamo4, Gregory Neumann5
1Cryospheric Sciences Branch, NASA Goddard Space Flight Center, Code 614.1, Greenbelt, MD, 20771, USA, Phone 301-614-5771, dorothy [dot] k [dot] hall [at] nasa [dot] gov
2Jet Propulsion Laboratory, California Institute of Tech., 4800 Oak Grove Drive, Pasadena, CA, 91109, USA, Phone 818-354-2982, son [dot] v [dot] nghiem [at] jpl [dot] nasa [dot] gov
3Department of Geography & Center for Remote Sensing, Boston University, Boston, MA, 02215, USA, schaff [at] bu [dot] edu
4Cryospheric Sciences Branch, Science Systems and Applications, Inc., Lanham, MD, 20706, USA, nicolo [dot] e [dot] digirolamo [at] nasa [dot] gov
5Jet Propulsion Laboratory, California Institute of Tech., 4800 Oak Grove Drive, Pasadena, CA, 91109, USA, gregory [dot] neumann [at] jpl [dot] nasa [dot] gov
Recently there has been a focus on the Greenland Ice Sheet because of observations of increasing arctic surface temperatures over the last few decades. Furthermore, airborne- and satellite-borne altimeter and satellite gravimetry measurements show net mass loss of ice from Greenland. To quantify the extent of surface melt on the ice sheet which is an important component of the total melt, researchers use data from various remote-sensing instruments, but different instruments are sensitive to different physical features on the ice sheet and they may have different spatial resolutions. Thus there has been ambiguity about the actual extent and location of melt in a given day (or maximum melt in a season). For example, using passive-microwave radiometry employing different algorithms from the same instrument can provide quite different values of total melt extent. To determine the actual amount of surface melt, we use three melt algorithms from two different instruments. The physical basis of the algorithms has been established in previous work. A special melt product derived from QuikSCAT (QS) provides a value of 862,769 km