Evaluation of Surface Melt on the Greenland Ice Sheet Using SMAP L-Band Microwave Radiometry

被引:12
|
作者
Mousavi, Mohammad [1 ]
Colliander, Andreas [1 ]
Miller, Julie Z. [2 ]
Entekhabi, Dara [3 ]
Johnson, Joel T. [4 ]
Shuman, Christopher A. [5 ,6 ]
Kimball, John S. [7 ]
Courville, Zoe R. [8 ]
机构
[1] CALTECH, Jet Prop Lab, 4800 Oak Grove Dr, Pasadena, CA 91125 USA
[2] Univ Colorado, Cooperat Inst Res Environm Sci, Boulder, CO 80309 USA
[3] MIT, 77 Massachusetts Ave, Cambridge, MA 02139 USA
[4] Ohio State Univ, Columbus, OH 43210 USA
[5] Univ Maryland Baltimore Cty, Baltimore, MD 21250 USA
[6] NASAs Goddard Space Flight Ctr, Greenbelt, MD 20771 USA
[7] Univ Montana, Numer Terradynam Simulat Grp, Missoula, MT 59812 USA
[8] USACE, Cold Reg Res & Engn Lab, Hanover, NH 03755 USA
关键词
Earth; electromagnetic propagation; electromagnetic scattering; geophysical inverse problems; ice; microwave radiometry; modeling; multilayered media; satellites; water resources; BRIEF-COMMUNICATION;
D O I
10.1109/JSTARS.2021.3124229
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Monitoring melt extent and timing on the Greenland ice sheet is important for tracking the ice sheet's mass and energy balance as well as the global and Arctic climate variability and change. In this study, we use L-band (1.4 GHz) brightness temperature observations collected by NASA's soil moisture active passive (SMAP) mission to investigate the extent, duration, and intensity of melt events on the Greenland ice sheet from 2015 to 2021. SMAP provides nearly all-weather surface monitoring over all of Greenland twice daily with morning and evening overpasses at approximately 40-km spatial resolution. We applied empirical threshold and geophysical-model-based algorithms using horizontally and vertically polarized microwave brightness temperature differences to quantify both the intensity and extent of surface melting. Analysis of the melt seasons shows that Greenland experienced unusually strong melt events at the end of July 2019 and on August 14, 2021, which extended the melt area across much of the dry snow zone over a period of one and two days, respectively. In situ temperatures measured at Greenland's Summit station confirm the above freezing temperatures during these extreme events.
引用
收藏
页码:11439 / 11449
页数:11
相关论文
共 24 条
  • [1] A Novel Approach to Map the Intensity of Surface Melting on the Antarctica Ice Sheet Using SMAP L-Band Microwave Radiometry
    Mousavi, Mohammad
    Colliander, Andreas
    Miller, Julie Z.
    Kimball, John S.
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2022, 15 : 1724 - 1743
  • [2] Greenland Ice Sheet Subsurface Temperature Estimation Using Ultrawideband Microwave Radiometry
    Yardim, Caglar
    Johnson, Joel T.
    Jezek, Kenneth C.
    Andrews, Mark J.
    Durand, Michael
    Duan, Yuna
    Tan, Shurun
    Tsang, Leung
    Brogioni, Marco
    Macelloni, Giovanni
    Bringer, Alexandra
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60
  • [3] Feasibility of L-Band Sharpening With C-Band Using SMAP and AMSR Radiometry Data for Future Application to CIMR
    Zhang, Michelle S.
    Alnasser, Faisal
    Piles, Maria
    Entekhabi, Dara
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2025, 63
  • [4] SMAP L-Band Microwave Radiometer: Instrument Design and First Year on Orbit
    Piepmeier, Jeffrey R.
    Focardi, Paolo
    Horgan, Kevin A.
    Knuble, Joseph
    Ehsan, Negar
    Lucey, Jared
    Brambora, Clifford
    Brown, Paula R.
    Hoffman, Pamela J.
    French, Richard T.
    Mikhaylov, Rebecca L.
    Kwack, Eug-Yun
    Slimko, Eric M.
    Dawson, Douglas E.
    Hudson, Derek
    Peng, Jinzheng
    Mohammed, Priscilla N.
    De Amici, Giovanni
    Freedman, Adam P.
    Medeiros, James
    Sacks, Fred
    Estep, Robert
    Spencer, Michael W.
    Chen, Curtis W.
    Wheeler, Kevin B.
    Edelstein, Wendy N.
    O'Neill, Peggy E.
    Njoku, Eni G.
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2017, 55 (04): : 1954 - 1966
  • [5] Sea Ice Thickness Estimation Based on Regression Neural Networks Using L-Band Microwave Radiometry Data from the FSSCat Mission
    Herbert, Christoph
    Munoz-Martin, Joan Francesc
    Llaveria, David
    Pablos, Miriam
    Camps, Adriano
    REMOTE SENSING, 2021, 13 (07)
  • [6] On the Correlation Between GNSS-R Reflectivity and L-Band Microwave Radiometry
    Alonso-Arroyo, Alberto
    Camps, Adriano
    Monerris, Alessandra
    Ruediger, Christoph
    Walker, Jeffrey P.
    Onrubia, Raul
    Querol, Jorge
    Park, Hyuk
    Pascual, Daniel
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2016, 9 (12) : 5862 - 5879
  • [7] Comprehensive Vector Radiative Transfer Model for Estimating Sea Surface Salinity From L-Band Microwave Radiometry
    Jin, Xuchen
    He, Xianqiang
    Shanmugam, Palanisamy
    Bai, Yan
    Gong, Fang
    Yu, Shujie
    Pan, Delu
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2021, 59 (06): : 4888 - 4903
  • [8] Sea Ice Concentration and Sea Ice Extent Mapping with L-Band Microwave Radiometry and GNSS-R Data from the FFSCat Mission Using Neural Networks
    Llaveria, David
    Munoz-Martin, Juan Francesc
    Herbert, Christoph
    Pablos, Miriam
    Park, Hyuk
    Camps, Adriano
    REMOTE SENSING, 2021, 13 (06)
  • [9] An L-band Radio Frequency Interference (RFI) Detection and Mitigation Testbed for microwave radiometry
    De Roo, Roger D.
    Ruf, Christopher S.
    Sabet, Kazem
    IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12: SENSING AND UNDERSTANDING OUR PLANET, 2007, : 2718 - +
  • [10] SEA ICE THICKNESS RETRIEVAL AT L-BAND: COMPARISON BETWEEN RESULTS FROM AQUARIUS AND SMAP DATA
    de Matthaeis, Paolo
    2016 14TH SPECIALIST MEETING ON MICROWAVE RADIOMETRY AND REMOTE SENSING OF THE ENVIRONMENT (MICRORAD), 2016, : 95 - 97