Dust Source Areas and Their Plume Extent Derived From Satellite Data Fields

被引:1
|
作者
Alnasser, Faisal [1 ]
Chehbouni, Abdelghani [2 ]
Entekhabi, Dara [1 ]
机构
[1] MIT, Dept Civil & Environm Engn, Cambridge, MA 02139 USA
[2] Univ Mohammed VI Polytech, Ctr Remote Sensing Applicat, Benguerir, Morocco
关键词
dust emission; plume tracking; arid; geostationary satellites; mineral dust; SOURCE REGIONS; NORTH-AFRICA; MIDDLE-EAST; MAP;
D O I
10.1029/2024GL110753
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
In this study, prominent dust source areas are identified along with their plume extent using high temporal frequency satellite observations. Hourly dust plume observations of the Dust Belt from geostationary-orbit satellites are analyzed for the 2017-12-2022-11 period. To identify dust source areas and their extents, we back-track plumes to their source, assessing source areas in terms of emission frequency, contribution, and plume extent patterns. This method advances over traditional source allocation techniques that rely on polar-orbiting satellites based on a few daily passes and meteorological wind fields for backtracking. Our findings indicate that Boreal summer is the most intense season for most sources, except in the Southern Sahara, which experiences winterly winds. Our analysis also reveals significant contributions from regions within the Sahara that experience expansive but infrequent dust storms, highlighting the importance of considering both frequency and magnitude in understanding dust emissions. This study focuses on the role of mineral dust, a significant climate constituent originating mainly from arid regions. Identifying where dust comes from and where it goes is essential for understanding how it affects the climate. To do so, we employ high temporal frequency satellite data to backtrack dust plumes to their sources, revealing key dust-emitting regions and their seasonal variations. We also quantify each source area's frequency and magnitude of emissions and the spatial distribution of emanating dust plumes. Our findings show that summer is the peak season for most areas, except for the strongest dust sources, located in Southern Sahara, which peak in winter driven by seasonal winds. Additionally, some Saharan source areas exhibit severe storms but have been under-emphasized because they were measured by the frequency of their storms. High-temporal-resolution images from geostationary-orbit satellites enable precise back-tracking of dust source areas Dust source areas are analyzed in terms of their emission frequency, contribution to the regional atmosphere, and corresponding plume extent Summer is the peak dust emission season for most sources in West Asia and Sahara and ephemeral lake beds are active during the dry season
引用
收藏
页数:10
相关论文
共 50 条
  • [41] Objectively derived daily "winds" from satellite scatterometer data
    Pegion, PJ
    Bourassa, MA
    Legler, DM
    O'Brien, JJ
    MONTHLY WEATHER REVIEW, 2000, 128 (09) : 3150 - 3168
  • [42] ANALYSIS OF CLOUD CHARACTERISTICS DERIVED FROM ARCHIVED SATELLITE DATA
    HUGHES, NA
    HENDERSON-SELLERS, A
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 1983, 4 (01) : 159 - 173
  • [43] Zonal variability of methane trends derived from satellite data
    Hachmeister, Jonas
    Schneising, Oliver
    Buchwitz, Michael
    Burrows, John P.
    Notholt, Justus
    Buschmann, Matthias
    ATMOSPHERIC CHEMISTRY AND PHYSICS, 2024, 24 (01) : 577 - 595
  • [44] The Importance of Asian Dust Aerosols as CCN Estimated from Satellite Data Analysis
    Hayasaka, Tadahiro
    Saito, Tetsuhiko
    Iwabuchi, Hironobu
    RADIATION PROCESSES IN THE ATMOSPHERE AND OCEAN (IRS2012), 2013, 1531 : 440 - 443
  • [45] COMPARISON OF ENERGY-SOURCE ESTIMATES DERIVED FROM ATMOSPHERIC CIRCULATION DATA WITH SATELLITE MEASUREMENTS OF NET-RADIATION
    FORTELIUS, C
    HOLOPAINEN, E
    JOURNAL OF CLIMATE, 1990, 3 (06) : 646 - 660
  • [46] ASSESSMENT OF CHLOROPHYLL-A CONCENTRATION DERIVED FROM SENTINEL-3 SATELLITE IMAGES USING OPEN SOURCE DATA
    Moutzouris-Sidiris, Ioannis
    Topouzelis, Konstantinos
    Konstantinidou, Evangelia Efi
    SEVENTH INTERNATIONAL CONFERENCE ON REMOTE SENSING AND GEOINFORMATION OF THE ENVIRONMENT (RSCY2019), 2019, 11174
  • [47] Time dilation derived from the electromagnetic fields of a moving point source
    Betinis, EJ
    PHYSICS ESSAYS, 1998, 11 (01) : 81 - 95
  • [48] Optimization of source identification algorithm derived from moth-inspired plume tracing strategies
    Li, Wei
    Sutton, Joseph E.
    2007 INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN ROBOTICS AND AUTOMATION, 2007, : 29 - +
  • [49] Spatiotemporal Plume Variability of Terek and Sulak Rivers from Satellite Data and Concurrent In Situ Measurements
    Nazirova, K. R.
    Lavrova, O. Yu.
    Alferyeva, Ya. O.
    Knyazev, N. A.
    COSMIC RESEARCH, 2024, 62 (SUPPL1) : S58 - S72
  • [50] Volcanic eruption plume top topography and heights as determined from photoclinometric analysis of satellite data
    Glaze, LS
    Wilson, L
    Mouginis-Mark, PJ
    JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH, 1999, 104 (B2) : 2989 - 3001