Satellites reveal Earth's seasonally shifting dust emission sources

Chappell，Adrian1; Webb，Nicholas P.2; Hennen，Mark3; Schepanski，Kerstin4; Ciais，Philippe5,6; Balkanski，Yves5; Zender，Charles S.7; Tegen，Ina8; Zeng，Zhenzhong9; Tong，Daniel10; Baker，Barry11; Ekström，Marie12; Baddock，Matthew13; Eckardt，Frank D.14; Kandakji，Tarek15; Lee，Jeffrey A.16; Nobakht，Mohamad17; von Holdt，Johanna18; Leys，John F.18,19

2023-07-20

10.1016/j.scitotenv.2023.163452

Science of the Total Environment   影响因子和分区

0048-9697

1879-1026

Establishing mineral dust impacts on Earth's systems requires numerical models of the dust cycle. Differences between dust optical depth (DOD) measurements and modelling the cycle of dust emission, atmospheric transport, and deposition of dust indicate large model uncertainty due partially to unrealistic model assumptions about dust emission frequency. Calibrating dust cycle models to DOD measurements typically in North Africa, are routinely used to reduce dust model magnitude. This calibration forces modelled dust emissions to match atmospheric DOD but may hide the correct magnitude and frequency of dust emission events at source, compensating biases in other modelled processes of the dust cycle. Therefore, it is essential to improve physically based dust emission modules. Here we use a global collation of satellite observations from previous studies of dust emission point source (DPS) dichotomous frequency data. We show that these DPS data have little-to-no relation with MODIS DOD frequency. We calibrate the albedo-based dust emission model using the frequency distribution of those DPS data. The global dust emission uncertainty constrained by DPS data (±3.8 kg m y) provides a benchmark for dust emission model development. Our calibrated model results reveal much less global dust emission (29.1 ± 14.9 Tg y) than previous estimates, and show seasonally shifting dust emission predominance within and between hemispheres, as opposed to a persistent North African dust emission primacy widely interpreted from DOD measurements. Earth's largest dust emissions, proceed seasonally from East Asian deserts in boreal spring, to Middle Eastern and North African deserts in boreal summer and then Australian shrublands in boreal autumn-winter. This new analysis of dust emissions, from global sources of varying geochemical properties, have far-reaching implications for current and future dust-climate effects. For more reliable coupled representation of dust-climate projections, our findings suggest the need to re-evaluate dust cycle modelling and benefit from the albedo-based parameterisation.

Albedo Calibration Dust cycle Dust emission Dust emission point source Dust model Dust optical depth Dust sources Magnitude and frequency Mineralogy MODIS Ocean productivity Physically based dust model Radiative forcing Vegetation

SCI ; EI

英语

其他

National Science Foundation[EAR-1853853];Natural Environment Research Council[NE/T002263/1];

Environmental Sciences & Ecology

Environmental Sciences

WOS:001005798100001

ELSEVIER

20231814048598

Arid regions ; Atmospheric aerosols ; Atmospheric radiation ; Landforms ; Minerals ; Optical properties ; Radiometers ; Satellite imagery ; Solar radiation ; Uncertainty analysis

Meteorology:443 ; Atmospheric Properties:443.1 ; Water Resources:444 ; Air Pollution Sources:451.1 ; Geology:481.1 ; Minerals:482.2 ; Satellites:655.2 ; Solar Energy and Phenomena:657.1 ; Light/Optics:741.1 ; Probability Theory:922.1 ; Radiation Measuring Instruments:944.7

ENVIRONMENT/ECOLOGY

2-s2.0-85154611406

Scopus

1.School of Earth and Environmental Science,Cardiff University,Cardiff,United Kingdom
2.USDA-ARS Jornada Experimental Range,Las Cruces,United States
3.Catapult Satellite Applications,Oxfordshire,Electron Building, Fermi Avenue, Harwell Oxford, Didcot,OX11 0QR,United Kingdom
4.Institute of Meteorology,Freie Universität Berlin,Germany
5.Laboratoire des Sciences du Climat eipcct de l'Environnement,CEA CNRS UPSACLAY,Gif-sur-Yvette,France
6.Climate and Atmosphere Research Center (CARE-C),The Cyprus Institute,Nicosia,20 Konstantinou Kavafi Street,2121,Cyprus
7.Department of Earth System Science,University of California,Irvine,United States
8.Leibniz Institute for Tropospheric Research,Leipzig,Germany
9.School of Environmental Science and Engineering,Southern University of Science and Technology,Shenzhen,518055,China
10.Department of Atmospheric,Oceanic and Earth Sciences,George Mason University,Fairfax,22030,United States
11.NOAA Air Resources Laboratory,College Park,United States
12.Climate & ESG,Gallagher Re,London,United Kingdom
13.Geography and Environment,Loughborough University,Loughborough,United Kingdom
14.Department of Environmental and Geographical Science,University of Cape Town,Rondebosch,7701,South Africa
15.Centre for Earth Observation,Yale University,United States
16.Texas Tech University,United States
17.Telespazio UK Ltd,Capability Green,Bedfordshire,Luton LU1 3LU,United Kingdom
18.Science Division,Department of Planning and Environment,Gunnedah,Australia
19.Fenner School of Environment and Society,Australian National University,Canberra,Australia

Chappell，Adrian,Webb，Nicholas P.,Hennen，Mark,et al. Satellites reveal Earth's seasonally shifting dust emission sources[J]. Science of the Total Environment,2023,883.

Chappell，Adrian.,Webb，Nicholas P..,Hennen，Mark.,Schepanski，Kerstin.,Ciais，Philippe.,...&Leys，John F..(2023).Satellites reveal Earth's seasonally shifting dust emission sources.Science of the Total Environment,883.

Chappell，Adrian,et al."Satellites reveal Earth's seasonally shifting dust emission sources".Science of the Total Environment 883(2023).