Validation, comparison, and integration of GOCI, AHI, MODIS, MISR, and VIIRS aerosol optical depth over East Asia during the 2016 KORUS-AQ campaign
<p>Recently launched multichannel geostationary Earth orbit (GEO) satellite sensors, such as the Geostationary Ocean Color Imager (GOCI) and the Advanced Himawari Imager (AHI), provide aerosol products over East Asia with high accuracy, which enables the monitoring of rapid diurnal variations...
Main Authors: | , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2019-08-01
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Series: | Atmospheric Measurement Techniques |
Online Access: | https://www.atmos-meas-tech.net/12/4619/2019/amt-12-4619-2019.pdf |
Summary: | <p>Recently launched multichannel geostationary Earth orbit (GEO) satellite
sensors, such as the Geostationary Ocean Color Imager (GOCI) and the Advanced
Himawari Imager (AHI), provide aerosol products over East Asia with high
accuracy, which enables the monitoring of rapid diurnal variations and the
transboundary transport of aerosols. Most aerosol studies to date have used
low Earth orbit (LEO) satellite sensors, such as the Moderate Resolution
Imaging Spectroradiometer (MODIS) and the Multi-angle Imaging
Spectroradiometer (MISR), with a maximum of one or two overpass daylight
times per day from midlatitudes to low latitudes. Thus, the demand for new GEO
observations with high temporal resolution and improved accuracy has been
significant. In this study the latest versions of aerosol optical depth
(AOD) products from three LEO sensors – MODIS (Dark Target, Deep Blue, and
MAIAC), MISR, and the Visible/Infrared Imager Radiometer Suite
(VIIRS), along with two GEO sensors (GOCI and AHI), are validated,
compared, and integrated for a period during the Korea–United States Air
Quality Study (KORUS-AQ) field campaign from 1 May to 12 June 2016 over East
Asia. The AOD products analyzed here generally have high accuracy with high
<span class="inline-formula"><i>R</i></span> (0.84–0.93) and low RMSE (0.12–0.17), but their error characteristics differ
according to the use of several different surface-reflectance estimation
methods. High-accuracy near-real-time GOCI and AHI measurements facilitate
the detection of rapid AOD changes, such as smoke aerosol transport from
Russia to Japan on 18–21 May 2016, heavy pollution transport from China to
the Korean Peninsula on 25 May 2016, and local emission transport from the Seoul
Metropolitan Area to the Yellow Sea in South Korea on 5 June 2016. These
high-temporal-resolution GEO measurements result in more representative
daily AOD values and make a greater contribution to a combined daily AOD
product assembled by median value selection with a <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M2" display="inline" overflow="scroll" dspmath="mathml"><mrow><mn mathvariant="normal">0.5</mn><msup><mi/><mo>∘</mo></msup><mo>×</mo><mn mathvariant="normal">0.5</mn><msup><mi/><mo>∘</mo></msup></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="52pt" height="11pt" class="svg-formula" dspmath="mathimg" md5hash="e3eab2aebde9b19bb51ba677b5b7fccf"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="amt-12-4619-2019-ie00001.svg" width="52pt" height="11pt" src="amt-12-4619-2019-ie00001.png"/></svg:svg></span></span> grid resolution. The combined AOD is spatially continuous and has
a greater number of pixels with high accuracy (fraction within expected
error range of 0.61) than individual products. This study characterizes
aerosol measurements from LEO and GEO satellites currently in operation over
East Asia, and the results presented here can be used to evaluate satellite
measurement bias and air quality models.</p> |
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ISSN: | 1867-1381 1867-8548 |