Literature DB >> 32676129

Exploring systematic offsets between aerosol products from the two MODIS sensors.

Robert C Levy1, Shana Mattoo2,1, Virginia Sawyer2,1, Yingxi Shi3,1, Peter R Colarco1, Alexei I Lyapustin1, Yujie Wang4,1, Lorraine A Remer4.   

Abstract

Long-term measurements of global aerosol loading and optical properties are essential for assessing climate-related questions. Using observations of spectral reflectance and radiance, the dark-target (DT) aerosol retrieval algorithm is applied to Moderate-resolution Imaging Spectroradiometer sensors on both Terra (MODIS-T) and Aqua (MODIS-A) satellites, deriving products (known as MOD04 and MYD04, respectively) of global aerosol optical depth (AOD at 0.55 μm) over both land and ocean, and Angstrom Exponent (AE derived from 0.55 and 0.86 μm) over ocean. Here, we analyse the overlapping time series (since mid-2002) of the Collection 6 (C6) aerosol products. Global monthly mean AOD from MOD04 (Terra with morning overpass) is consistently higher than MYD04 (Aqua with afternoon overpass) by ~13% (~0.02 over land and ~0.015 over ocean), and this offset (MOD04 - MYD04), has seasonal as well as long-term variability. Focusing on 2008, and deriving yearly gridded mean AOD and AE, we find that over ocean, the MOD04 (morning) AOD is higher and the AE is lower. Over land, there is more variability, but only biomass-burning regions tend to have AOD lower for MOD04. Using simulated aerosol fields from the Goddard Earth Observing System (GEOS-5) Earth system model, and sampling separately (in time and space) along each MODIS-observed swath during 2008, the magnitudes of morning versus afternoon offsets of AOD and AE are smaller than those in the C6 products. Since the differences are not easily attributed to either aerosol diurnal cycles or sampling issues, we test additional corrections to the input reflectance data. The first, known as C6+, corrects for long-term changes to each sensors' polarization sensitivity, response-versus-scan angle, and to cross-calibration from MODIS-T to MODIS-A. A second convolves the de-trending and cross-calibration into scaling factors. Each method was applied upstream of the aerosol retrieval, using 2008 data. While both methods reduced the overall AOD offset over land from 0.02 to 0.01, neither significantly reduced the AOD offset over ocean. The overall negative AE offset was reduced. A Collection (C6.1) of all MODIS-atmosphere products was released, but we expect that the C6.1 aerosol products will maintain similar overall AOD and AE offsets. We conclude that: a) users should not interpret global differences between Terra and Aqua aerosol products as representing a true diurnal signal in the aerosol. b) Because the MODIS-A product appears to have overall smaller bias compared to ground-truth, it may be more suitable for some applications, however c) since the AOD offset is only ~0.02 and within noise level for single retrievals, both MODIS products may be adequate for most applications.

Entities:  

Year:  2018        PMID: 32676129      PMCID: PMC7365259          DOI: 10.5194/amt-11-4073-2018

Source DB:  PubMed          Journal:  Atmos Meas Tech        ISSN: 1867-1381            Impact factor:   4.176


  18 in total

1.  New aerosol models for the retrieval of aerosol optical thickness and normalized water-leaving radiances from the SeaWiFS and MODIS sensors over coastal regions and open oceans.

Authors:  Ziauddin Ahmad; Bryan A Franz; Charles R McClain; Ewa J Kwiatkowska; Jeremy Werdell; Eric P Shettle; Brent N Holben
Journal:  Appl Opt       Date:  2010-10-10       Impact factor: 1.980

2.  Moderate-resolution imaging spectroradiometer ocean color polarization correction.

Authors:  Gerhard Meister; Ewa J Kwiatkowska; Bryan A Franz; Frederick S Patt; Gene C Feldman; Charles R McClain
Journal:  Appl Opt       Date:  2005-09-10       Impact factor: 1.980

3.  Smoke invigoration versus inhibition of clouds over the Amazon.

Authors:  Ilan Koren; J Vanderlei Martins; Lorraine A Remer; Hila Afargan
Journal:  Science       Date:  2008-08-15       Impact factor: 47.728

4.  Improved Mie scattering algorithms.

Authors:  W J Wiscombe
Journal:  Appl Opt       Date:  1980-05-01       Impact factor: 1.980

5.  The Global Precipitation Climatology Project (GPCP) Monthly Analysis (New Version 2.3) and a Review of 2017 Global Precipitation.

Authors:  R F Adler; M Sapiano; G J Huffman; J Wang; G Gu; D Bolvin; L Chiu; U Schneider; A Becker; E Nelkin; P Xie; R Ferraro; D-B Shin
Journal:  Atmosphere (Basel)       Date:  2018-04-07       Impact factor: 2.686

6.  Estimates of global mortality attributable to particulate air pollution using satellite imagery.

Authors:  Jessica Evans; Aaron van Donkelaar; Randall V Martin; Richard Burnett; Daniel G Rainham; Nicholas J Birkett; Daniel Krewski
Journal:  Environ Res       Date:  2012-09-06       Impact factor: 6.498

7.  Fifteen-year global time series of satellite-derived fine particulate matter.

Authors:  B L Boys; R V Martin; A van Donkelaar; R J MacDonell; N C Hsu; M J Cooper; R M Yantosca; Z Lu; D G Streets; Q Zhang; S W Wang
Journal:  Environ Sci Technol       Date:  2014-09-24       Impact factor: 9.028

8.  The MERRA-2 Aerosol Reanalysis, 1980 - onward, Part I: System Description and Data Assimilation Evaluation.

Authors:  C A Randles; A M Da Silva; V Buchard; P R Colarco; A Darmenov; R Govindaraju; A Smirnov; B Holben; R Ferrare; J Hair; Y Shinozuka; C J Flynn
Journal:  J Clim       Date:  2017-07-27       Impact factor: 5.148

9.  Global estimates of ambient fine particulate matter concentrations from satellite-based aerosol optical depth: development and application.

Authors:  Aaron van Donkelaar; Randall V Martin; Michael Brauer; Ralph Kahn; Robert Levy; Carolyn Verduzco; Paul J Villeneuve
Journal:  Environ Health Perspect       Date:  2010-06       Impact factor: 9.031

10.  Cross calibration of ocean-color bands from moderate resolution imaging spectroradiometer on Terra platform.

Authors:  Ewa J Kwiatkowska; Bryan A Franz; Gerhard Meister; Charles R McClain; Xiaoxiong Xiong
Journal:  Appl Opt       Date:  2008-12-20       Impact factor: 1.980

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  1 in total

1.  Interannual variability and trends of combustion aerosol and dust in major continental outflows revealed by MODIS retrievals and CAM5 simulations during 2003-2017.

Authors:  Hongbin Yu; Yang Yang; Hailong Wang; Qian Tan; Mian Chin; Robert C Levy; Lorraine A Remer; Steven J Smith; Tianle Yuan; Yingxi Shi
Journal:  Atmos Chem Phys       Date:  2020-01-03       Impact factor: 6.133

  1 in total

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