Spatial characteristics of the difference between MISR and MODIS aerosol optical depth retrievals over mainland Southeast Asia

Xiao, Ningchuan; Shi, Tao; Calder, Catherine A.; Munroe, Darla K.; Berrett, Candace; Wolfinbarger, Susan; Li, Dingmou

doi:10.1016/j.rse.2008.07.011

Cited by 47 publications

(27 citation statements)

References 15 publications

(52 reference statements)

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“…These sampling issues need to be accounted for in its usage. MISR AOD data, to our knowledge, has not been used specifically in scientific studies about SEA outside of the MODIS-MISR intercomparison of Xiao et al (2009). We will not go into great detail on MISR efficacy as we did with the DTRs, but we can infer its utility in a number of global studies (Kahn et al, 2005Zhang and Reid, 2010;Shi et al, 2011b), as well as regional studies in the nearby Indian Ocean and Subcontinent (e.g., Di Girolamo et al, 2004;Di Girolamo, 2010, 2011).…”

Section: Adding the Multi-angle Perspective Of Misrmentioning

confidence: 99%

“…Xiao et al (2009) did a comparison of MODIS and MISR for IC and showed correlated spatial bias between the two products. Some land surface types led to large differences, such as wetlands and savannas, yet better agreement in forest and urban centers.…”

Section: Adding the Multi-angle Perspective Of Misrmentioning

confidence: 99%

“…However, this complexity makes SEA perhaps the most challenging region in the world for aerosol remote sensing. There are few verification studies of satellite aerosol products in SEA of any sort, and only one which has looked in detail at differences between two sensors (Xiao et al, 2009). What we do know for practical application is largely based on what can be inferred from global studies.…”

Section: Introduction To Aerosol Remote Sensing In Southeast Asiamentioning

confidence: 99%

See 2 more Smart Citations

Observing and understanding the Southeast Asian aerosol system by remote sensing: An initial review and analysis for the Seven Southeast Asian Studies (7SEAS) program

Reid¹,

Hyer²,

Johnson

et al. 2013

Atmospheric Research

298

264

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Section: Adding the Multi-angle Perspective Of Misrmentioning

confidence: 99%

Section: Adding the Multi-angle Perspective Of Misrmentioning

confidence: 99%

Section: Introduction To Aerosol Remote Sensing In Southeast Asiamentioning

confidence: 99%

See 1 more Smart Citation

Observing and understanding the Southeast Asian aerosol system by remote sensing: An initial review and analysis for the Seven Southeast Asian Studies (7SEAS) program

Reid¹,

Hyer²,

Johnson

et al. 2013

Atmospheric Research

298

264

View full text Add to dashboard Cite

“…The MISR and MODIS instrument teams, as well as many other research groups, have performed such evaluations using a variety of methods, ranging from theoretical sensitivity studies to comparisons with other satellite and suborbital data sets [e.g., 2,[6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23]. Over the past ten years, the exchange of data, information, and ideas represented by this body of work has yielded better characterization of existing products, as well as algorithm upgrades.…”

Section: Introductionmentioning

confidence: 99%

Response to “Toward unified satellite climatology of aerosol properties. 3. MODIS versus MISR versus AERONET”

Kahn

Garay

Nelson

et al. 2011

Journal of Quantitative Spectroscopy and Radiative Transfer

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A recent paper by Mishchenko et al. compares near-coincident MISR, MODIS, and AERONET aerosol optical depth (AOD) products, and reports much poorer agreement than that obtained by the instrument teams and others. We trace the reasons for the discrepancies primarily to differences in (1) the treatment of outliers, (2) the application of absolute vs. relative criteria for testing agreement, and (3) the ways in which seasonally varying spatial distributions of coincident retrievals are taken into account.

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“…Xiao et al (2009) recently examined MODIS and MISR AOD retrievals for Southeast Asia from a spatial perspective and found good correlation between the retrievals from each of these sensors. Figs.…”

Section: Intercomparison Of Modis and Misr Derived Aodsmentioning

confidence: 99%

Ship-Borne Measurements of Columnar and Surface Aerosol Loading over the Bay of Bengal during W-ICARB Campaign: Role of Airmass Transport, Latitudinal and Longitudinal Gradients

Kumar

Sivakumar

Reddy

et al. 2013

Aerosol Air Qual. Res.

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The present study analyzes simultaneous and collocated measurements of spectral columnar aerosol optical depth (AOD) and the variations in total mass concentration of near surface aerosols in the marine atmosphere over the Bay of Bengal (BoB) during the winter phase of the Integrated Campaign for Aerosols, gases and Radiation Budget (W-ICARB) expedition of December and January 2008/2009 on board the Oceanographic Research Vessel (ORV) of Sagar Kanya. High AOD 500 values (> 0.8) are found close to coastal regions in the western and northern BoB due to outflow of aerosols and pollutants from the densely populated Indo-Gangetic Plain (IGP). In these regions, the Ångström exponent α 380-1020 values are also found to be high (~1.2-1.3), indicating relative abundance of accumulation-mode continental aerosols. Low AOD 500 (0.1-0.2) values are observed in central and southern BoB, far away from the mainland. The AOD 500 and total aerosol mass loading increased along with the latitude. The total mass concentration is found to vary between 15 μg/m 3 and 45 μg/m 3 , with higher loadings near the east coast and northern parts of the BoB. NCEP reanalysis of the data with winds at 925 hPa, along with airmass trajectories calculated using the HYSPLIT model, suggest transport of continental aerosols from central and northern India over the BoB at lower heights, and mineral dust aerosol transport from arid regions in the west of India at higher altitudes; while the increase in aerosol loading over eastern BoB was strongly affected by airmasses originating from Southeast Asia. The spatial correlation map between the MODIS and MISR AOD data is analyzed, revealing a strong correlation between the two datasets. The influence of wind speed and continental airmass on AOD is also examined, which provides information on the effects of the adjoining landmass on the marine aerosol field.

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Spatial characteristics of the difference between MISR and MODIS aerosol optical depth retrievals over mainland Southeast Asia

Cited by 47 publications

References 15 publications

Observing and understanding the Southeast Asian aerosol system by remote sensing: An initial review and analysis for the Seven Southeast Asian Studies (7SEAS) program

Observing and understanding the Southeast Asian aerosol system by remote sensing: An initial review and analysis for the Seven Southeast Asian Studies (7SEAS) program

Response to “Toward unified satellite climatology of aerosol properties. 3. MODIS versus MISR versus AERONET”

Ship-Borne Measurements of Columnar and Surface Aerosol Loading over the Bay of Bengal during W-ICARB Campaign: Role of Airmass Transport, Latitudinal and Longitudinal Gradients

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