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
  • [11] Numerical Analysis of the Temperature Fields and Geopotential from Satellite-Derived Radiometric Data.
    Belyavskii, A.I.
    Pokrovskii, O.M.
    Shpenkukh, D.
    Gyul'dner, Yu.
    Izvestia Akademii nauk SSSR. Fizika atmosfery i okeana, 1983, 19 (11): : 1151 - 1160
  • [12] Comparison of open water and thin ice areas derived from satellite passive microwave data with aircraft measurements and satellite infrared data in the Bering Sea
    Markus, T
    Cavalieri, DJ
    IGARSS '96 - 1996 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM: REMOTE SENSING FOR A SUSTAINABLE FUTURE, VOLS I - IV, 1996, : 1529 - 1531
  • [13] Tropospheric ozone derived from satellite data
    DeBoer, DR
    IGARSS '98 - 1998 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, PROCEEDINGS VOLS 1-5: SENSING AND MANAGING THE ENVIRONMENT, 1998, : 2630 - 2632
  • [14] Estimation of optical parameters of yellow sand dust clouds over desert areas from satellite-level data
    Kusaka, T
    Mori, S
    Suzuki, T
    Shibata, H
    IGARSS 2001: SCANNING THE PRESENT AND RESOLVING THE FUTURE, VOLS 1-7, PROCEEDINGS, 2001, : 2394 - 2396
  • [15] Mesoscale surface current fields in the Baltic Sea derived from multi-sensor satellite data
    Gade, Martin
    Seppke, Benjamin
    Dreschler-Fischer, Leonie
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2012, 33 (10) : 3122 - 3146
  • [16] NUMERICAL-ANALYSIS OF THE TEMPERATURE-FIELDS AND GEOPOTENTIAL FROM SATELLITE-DERIVED RADIOMETRIC DATA
    BELJAVSKY, AI
    POKROVSKY, OM
    SPANKUCH, D
    GULDNER, J
    IZVESTIYA AKADEMII NAUK SSSR FIZIKA ATMOSFERY I OKEANA, 1983, 19 (11): : 1151 - 1160
  • [17] Variations of sea ice extent in the Caspian and Aral seas derived from combination of active and passive satellite microwave data
    Kouraev, AV
    Papa, F
    Mognard, NM
    Buharizin, PI
    Cazenave, A
    Cretaux, JF
    Dozortseva, J
    Remy, F
    IGARSS 2003: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS I - VII, PROCEEDINGS: LEARNING FROM EARTH'S SHAPES AND SIZES, 2003, : 2808 - 2810
  • [18] A new map of global urban extent from MODIS satellite data
    Schneider, A.
    Friedl, M. A.
    Potere, D.
    ENVIRONMENTAL RESEARCH LETTERS, 2009, 4 (04):
  • [19] Analysis of climatic and anthropogenic changes effects on spectral vegetation indices in forest areas derived from satellite data
    Zoran, M. A.
    ROMOPTO 2009: NINTH CONFERENCE ON OPTICS: MICRO- TO NANOPHOTONICS II, 2010, 7469
  • [20] Two-dimensional sea surface current fields derived from multi-sensor satellite data
    Gade, M
    Fiedler, G
    Dreschler-Fischer, L
    IGARSS 2003: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS I - VII, PROCEEDINGS: LEARNING FROM EARTH'S SHAPES AND SIZES, 2003, : 3540 - 3542