Assessment of the Level-3 MODIS daily aerosol optical depth in the context of surface solar radiation and numerical weather modeling

Ruiz‐Arias, José A.; Dudhia, Jimy; Gueymard, C.; Pozo‐Vázquez, D.

doi:10.5194/acp-13-675-2013

Cited by 97 publications

(55 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To be successful this would require (i) more accurate AOD data than those used from MODIS satellite here, which is a problem that is still under debate (e.g. Ruiz-Arias et al, 2013;Gueymard, 2012), and (ii) the integration of an automated clear-sky detection algorithm, which is available from e.g. Marty and Philipona (2000) and requires records of long-wave incoming radiation.…”

Section: Discussionmentioning

confidence: 99%

Correction of broadband snow albedo measurements affected by unknown slope and sensor tilts

et al. 2016

View full text Add to dashboard Cite

Abstract. Geometric effects induced by the underlying terrain slope or by tilt errors of the radiation sensors lead to an erroneous measurement of snow or ice albedo. Consequently, artificial diurnal albedo variations in the order of 1-20 % are observed. The present paper proposes a general method to correct tilt errors of albedo measurements in cases where tilts of both the sensors and the slopes are not accurately measured or known. We demonstrate that atmospheric parameters for this correction model can either be taken from a nearby well-maintained and horizontally levelled measurement of global radiation or alternatively from a solar radiation model. In a next step the model is fitted to the measured data to determine tilts and directions of sensors and the underlying terrain slope. This then allows us to correct the measured albedo, the radiative balance and the energy balance. Depending on the direction of the slope and the sensors a comparison between measured and corrected albedo values reveals obvious over-or underestimations of albedo. It is also demonstrated that differences between measured and corrected albedo are generally highest for large solar zenith angles.

show abstract

Section: Discussionmentioning

confidence: 99%

Correction of broadband snow albedo measurements affected by unknown slope and sensor tilts

et al. 2016

View full text Add to dashboard Cite

show abstract

“…Both MODIS instruments on Aqua and Terra are considered to derive the daily mean. The mean error on the MODIS AOD daily product is 0.03 with a root mean square error of 0.14 according to Ruiz-Arias et al (2013). When a CALIOP overpass is found near the MODIS BB plume, the lidar vertical cross section is used to specify the vertical extent of the MODIS BB plume.…”

Section: Methodsmentioning

confidence: 99%

Long-range transport and mixing of aerosol sources during the 2013 North American biomass burning episode: analysis of multiple lidar observations in the western Mediterranean basin

et al. 2016

View full text Add to dashboard Cite

Abstract. Long-range transport of biomass burning (BB) aerosols between North America and the Mediterranean region took place in June 2013. A large number of groundbased and airborne lidar measurements were deployed in the western Mediterranean during the Chemistry-AeRosol Mediterranean EXperiment (ChArMEx) intensive observation period. A detailed analysis of the potential North American aerosol sources is conducted including the assessment of their transport to Europe using forward simulations of the FLEXPART Lagrangian particle dispersion model initialized using satellite observations by MODIS and CALIOP. The three-dimensional structure of the aerosol distribution in the ChArMEx domain observed by the ground-based lidars (Minorca, Barcelona and Lampedusa), a Falcon-20 aircraft flight and three CALIOP tracks, agrees very well with the model simulation of the three major sources considered in this work: Canadian and Colorado fires, a dust storm from western US and the contribution of Saharan dust streamers advected from the North Atlantic trade wind region into the westerlies region. Four aerosol types were identified using the optical properties of the observed aerosol layers (aerosol depolarization ratio, lidar ratio) and the transport model analysis of the contribution of each aerosol source: (i) pure BB layer, (ii) weakly dusty BB, (iii) significant mixture of BB and dust transported from the trade wind region, and (iv) the outflow of Saharan dust by the subtropical jet and not mixed with BB aerosol. The contribution of the Canadian fires is the major aerosol source during this episode while mixing of dust and BB is only significant at an altitude above 5 km. The mixing corresponds to a 20-30 % dust contribution in the total aerosol backscatter. The comparison with the MODIS aerosol optical depth horizontal distribution during this episode over the western Mediterranean Sea shows that the Canadian fire contributions were as large as the direct northward dust outflow from Sahara.

show abstract

“…This could not be done here. Furthermore, the uncertainty of the satellite data that can be quite large particularly for large AOD values (Ruiz-Arias et al, 2013) would have to be taken into account. This can also be seen in Fig.…”

Section: Aerosol Optical Depthmentioning

confidence: 99%

The anthropogenic contribution to atmospheric black carbon concentrations in southern Africa: a WRF-Chem modeling study

et al. 2015

View full text Add to dashboard Cite

Abstract. South Africa has one of the largest industrialized economies in Africa. Emissions of air pollutants are particularly high in the Johannesburg-Pretoria metropolitan area, the Mpumalanga Highveld and the Vaal Triangle, resulting in local air pollution. This study presents and evaluates a setup for conducting modeling experiments over southern Africa with the Weather Research and Forecasting model including chemistry and aerosols (WRF-Chem), and analyzes the contribution of anthropogenic emissions to the total black carbon (BC) concentrations from September to December 2010.The modeled BC concentrations are compared with measurements obtained at the Welgegund station situated ca. 100 km southwest of Johannesburg. An evaluation of WRF-Chem with observational data from ground-based measurement stations, radiosondes, and satellites shows that the meteorology is modeled mostly reasonably well, but precipitation amounts are widely overestimated and the onset of the wet season is modeled approximately 1 month too early in 2010. Modeled daily mean BC concentrations show a temporal correlation of 0.66 with measurements, but the total BC concentration is underestimated in the model by up to 50 %.Sensitivity studies with anthropogenic emissions of BC and co-emitted species turned off show that anthropogenic sources can contribute up to 100 % to BC concentrations in the industrialized and urban areas, and anthropogenic BC and co-emitted species together can contribute up to 60 % to PM 1 levels. Particularly the co-emitted species contribute significantly to the aerosol optical depth (AOD). Furthermore, in areas of large-scale biomass-burning atmospheric heating rates are increased through absorption by BC up to an altitude of about 600 hPa.

show abstract

Assessment of the Level-3 MODIS daily aerosol optical depth in the context of surface solar radiation and numerical weather modeling

Cited by 97 publications

References 30 publications

Correction of broadband snow albedo measurements affected by unknown slope and sensor tilts

Correction of broadband snow albedo measurements affected by unknown slope and sensor tilts

Long-range transport and mixing of aerosol sources during the 2013 North American biomass burning episode: analysis of multiple lidar observations in the western Mediterranean basin

The anthropogenic contribution to atmospheric black carbon concentrations in southern Africa: a WRF-Chem modeling study

Contact Info

Product

Resources

About