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Featured researches published by David M. Giles.


Journal of Geophysical Research | 2010

Climatological aspects of the optical properties of fine/coarse mode aerosol mixtures

Thomas F. Eck; Brent N. Holben; Aliaksandyr Sinyuk; R. T. Pinker; Philippe Goloub; H. Chen; B. Chatenet; Zhanqing Li; Ramesh P. Singh; S. N. Tripathi; Jeffrey S. Reid; David M. Giles; Oleg Dubovik; Norman T. O'Neill; A. Smirnov; P. Wang; Xugui Xia

[1] Aerosol mixtures composed of coarse mode desert dust combined with fine mode combustion generated aerosols (from fossil fuel and biomass burning sources) were investigated at three locations that are in and/or downwind of major global aerosol emission source regions. Multiyear monitoring data at Aerosol Robotic Network sites in Beijing (central eastern China), Kanpur (Indo-Gangetic Plain, northern India), and Ilorin (Nigeria, Sudanian zone of West Africa) were utilized to study the climatological characteristics of aerosol optical properties. Multiyear climatological averages of spectral single scattering albedo (SSA) versus fine mode fraction (FMF) of aerosol optical depth at 675 nm at all three sites exhibited relatively linear trends up to ~50% FMF. This suggests the possibility that external linear mixing of both fine and coarse mode components (weighted by FMF) dominates the SSA variation, where the SSA of each component remains relatively constant for this range of FMF only. However, it is likely that a combination of other factors is also involved in determining the dynamics of SSA as a function of FMF, such as fine mode particles adhering to coarse mode dust. The spectral variation of the climatological averaged aerosol absorption optical depth (AAOD) was nearly linear in logarithmic coordinates over the wavelength range of 440-870 nm for both the Kanpur and Ilorin sites. However, at two sites in China (Beijing and Xianghe), a distinct nonlinearity in spectral AAOD in logarithmic space was observed, suggesting the possibility of anomalously strong absorption in coarse mode aerosols increasing the 870 nm AAOD.


Journal of Geophysical Research | 2009

Maritime Aerosol Network as a component of Aerosol Robotic Network

A. Smirnov; Brent N. Holben; I. Slutsker; David M. Giles; Charles R. McClain; T. F. Eck; Sergei M. Sakerin; Andreas Macke; Peter Croot; Giuseppe Zibordi; Patricia K. Quinn; J. Sciare; S. Kinne; Mike Harvey; Timothy J. Smyth; Stuart J. Piketh; Tymon Zielinski; Andrey Proshutinsky; Joachim I. Goes; Norman B. Nelson; P. Larouche; Vladimir F. Radionov; P. Goloub; K. Krishna Moorthy; R. Matarrese; E. J. Robertson; F. Jourdin

The paper presents the current status of the Maritime Aerosol Network (MAN), which has been developed as a component of the Aerosol Robotic Network (AERONET). MAN deploys Microtops handheld Sun photometers and utilizes the calibration procedure and data processing (Version 2) traceable to AERONET. A web site dedicated to the MAN activity is described. A brief historical perspective is given to aerosol optical depth (AOD) measurements over the oceans. A short summary of the existing data, collected on board ships of opportunity during the NASA Sensor Intercomparison and Merger for Biological and Interdisciplinary Oceanic Studies (SIMBIOS) Project is presented. Globally averaged oceanic aerosol optical depth (derived from island-based AERONET measurements) at 500 nm is similar to 0.11 and Angstrom parameter (computed within spectral range 440-870 nm) is calculated to be similar to 0.6. First results from the cruises contributing to the Maritime Aerosol Network are shown. MAN ship-based aerosol optical depth compares well to simultaneous island and near-coastal AERONET site AOD.


Journal of Atmospheric and Oceanic Technology | 2009

AERONET-OC: a Network for the Validation of Ocean Color Primary Products

Giuseppe Zibordi; Frédéric Mélin; Jean-François Berthon; Brent N. Holben; I. Slutsker; David M. Giles; Davide D’Alimonte; Doug Vandemark; Hui Feng; Gregory L. Schuster; Bryan Fabbri; Seppo Kaitala; Jukka Seppälä

Abstract The ocean color component of the Aerosol Robotic Network (AERONET-OC) has been implemented to support long-term satellite ocean color investigations through cross-site consistent and accurate measurements collected by autonomous radiometer systems deployed on offshore fixed platforms. The AERONET-OC data products are the normalized water-leaving radiances determined at various center wavelengths in the visible and near-infrared spectral regions. These data complement atmospheric AERONET aerosol products, such as optical thickness, size distribution, single scattering albedo, and phase function. This work describes in detail this new AERONET component and its specific elements including measurement method, instrument calibration, processing scheme, quality assurance, uncertainties, data archive, and products accessibility. Additionally, the atmospheric and bio-optical features of the sites currently included in AERONET-OC are briefly summarized. After illustrating the application of AERONET-OC dat...


Eos, Transactions American Geophysical Union | 2006

A network for standardized ocean color validation measurements

Giuseppe Zibordi; Brent N. Holben; Stanford B. Hooker; Frédéric Mélin; Jean-François Berthon; I. Slutsker; David M. Giles; Doug Vandemark; Hui Feng; Ken Rutledge; Gregory L. Schuster; Abdulla Al Mandoos

The Aerosol Robotic Network (AERONET), originally developed to evaluate aerosol optical properties and validate satellite retrievals of those properties at various scales with measurements from worldwidedistributed autonomous Sun photometers [Holben et al., 1998],since January 2006 has been extended to support marine remote sensing and monitoring applications. This new network component, called AERONETOcean Color (AERONET-OC), provides the additional capability of measuring the radiance emerging from the sea—the ‘water-leaving radiance’—with modified Sun photometers installed on offshore platforms such as lighthouses, oceanographic towers, and derricks. AERONET-OC is proving to be instrumental in supporting satellite ocean color validation activities through standardized measurements performed at different sites with identical measuring systems and protocols, calibrated using a single reference source and method, and processed with the same code. Recent investigations [Zibordi et al., 2006] suggest that in order to generate accurate climate data records from remote sensing data, time series of in situ measurements from a cadre of AERONET-OC sites could play a major role in the assessment and merging of radiometric products from different ocean color missions.


Journal of Geophysical Research | 2014

Latitudinal Variation of Aerosol Properties from Indo-Gangetic Plain to Central Himalayan Foothills During TIGERZ Campaign

U. C. Dumka; S. N. Tripathi; Amit Misra; David M. Giles; T. F. Eck; Ram Sagar; Brent N. Holben

As part of TIGERZ campaign, latitudinal variation of aerosol optical properties was analyzed over Indo-Gangetic Plains (IGP) to central Himalayas during premonsoon of 2008 and 2009. Measurements of aerosol optical depth (AOD) were performed using Aerosol Robotic Network Sun photometer at four sites with different aerosol environments. The AOD increases from Nainital located in central Himalayas to Kanpur located in IGP region. Further, aerosol size varies spatially with dominance of coarse-mode aerosols at Kanpur compared to fine-mode aerosols dominated at Nainital. Spectral variation of single-scattering albedo suggests that during premonsoon, dust is the dominant species in the IGP with exception of Pantnagar, where absorbing aerosols are dominant. The optical properties of aerosols are calculated, and shortwave clear-sky aerosol radiative forcing (ARF) is estimated. An insignificant difference is found in columnar ARF and columnar heating rate (HR) when vertical profiles of aerosols are included in radiative transfer models. Over Nainital, average ARF is estimated to be −7.61, −45.75, and 38.14 W m−2 at top of atmosphere (TOA), surface (SUR), and in the atmosphere (ATM), respectively. Average ARF is less negative at Kanpur compared to Pantnagar and Bareilly with values −17.63, −73.06, and 55.43 W m−2 at TOA, SUR, and ATM, respectively. ARF shows positive gradient from the highlands to the IGP sites; larger TOA and SUR cooling were observed at the three sites compared to the highland site. This translates into large columnar HR with estimated average values as 1.07, 1.41, 1.58, and 1.56 K d−1 for Nainital, Pantnagar, Bareilly, and Kanpur, respectively.


Journal of Geophysical Research | 2010

Profiling transboundary aerosols over Taiwan and assessing their radiative effects

Sheng-Hsiang Wang; Neng-Huei Lin; Ming-Dah Chou; Si-Chee Tsay; Ellsworth J. Welton; David M. Giles; Gin-Rong Liu; Brent N. Holben

A synergistic process was developed to study the vertical distributions of aerosol optical properties and their effects on solar heating using data retrieved from ground-based radiation measurements and radiative transfer simulations. Continuous MPLNET and AERONET observations were made at a rural site in northern Taiwan from 2005 to 2007. The aerosol vertical extinction profiles retrieved from ground-based lidar measurements were categorized into near-surface, mixed, and two-layer transport types, representing 76% of all cases. Fine-mode (Angstrom exponent, alpha, approx.1.4) and moderate-absorbing aerosols (columnar single-scattering albedo approx.0.93, asymmetry factor approx.0.73 at 440 nm wavelength) dominated in this region. The column-integrated aerosol optical thickness at 500 nm (tau(sub 500nm)) ranges from 0.1 to 0.6 for the near-surface transport type, but can be doubled in the presence of upper-layer aerosol transport. We utilize aerosol radiative efficiency (ARE; the impact on solar radiation per unit change of tau(sub 500nm)) to quantify the radiative effects due to different vertical distributions of aerosols. Our results show that the ARE at the top-of-atmosphere (-23 W/ sq m) is weakly sensitive to aerosol vertical distributions confined in the lower troposphere. On the other hand, values of the ARE at the surface are -44.3, -40.6 and -39.7 W/sq m 38 for near-surface, mixed, and two-layer transport types, respectively. Further analyses show that the impact of aerosols on the vertical profile of solar heating is larger for the near-surface transport type than that of two-layer transport type. The impacts of aerosol on the surface radiation and the solar heating profiles have implications for the stability and convection in the lower troposphere.


International Journal of Remote Sensing | 2005

Comparison of aerosol optical thickness measurements by MODIS, AERONET sun photometers, and Forest Service handheld sun photometers in southern Africa during the SAFARI 2000 campaign

Wei Min Hao; Darold E. Ward; Ronald A. Susott; Ronald E. Babbitt; Bryce Nordgren; Yoram J. Kaufman; Brent N. Holben; David M. Giles

The Moderate Resolution Imaging Spectroradiometer (MODIS) instrument on the NASA Terra satellite has been used to monitor aerosol optical thickness (AOT, τ) daily at 10 km×10 km resolution worldwide since August 2000. This information, together with the locations of active fires detected by the MODIS instrument, is essential for understanding the seasonal trends and interannual variability of fires and their impacts on air pollution, atmospheric chemistry, and global climate. We compared aerosol optical thickness derived from MODIS, five automated sun photometers of the Aerosol Robotic Network (AERONET), and 38 Forest Service (FS) handheld sun photometers in western Zambia from 20 August to 20 September 2000. Aerosol optical thicknesses derived from AERONET sun photometers and FS sun photometers were also compared in the same region between mid‐June and late September 2000. Our objectives were to validate the AOT measurements by MODIS and to investigate the factors that affect AOT measurements. We demonstrated that in the regions of intense biomass burning, MODIS aerosol optical thickness was consistently 40–50% lower at 470, 550, and 660 nm compared with ground‐based AOT measurements by automated and handheld sun photometers and airborne measurements by NASA Ames Airborne Tracking 14‐channel Sunphotometers (AATS‐14). The satellite look angles can influence the MODIS AOT values, with the actual MODIS AOT values being as much as 0.06 higher than model‐calculated MODIS AOT values on the right edge of the MODIS scene. This phenomenon may be due to error in the assumed aerosol scattering phase function or surface directional properties. Density of vegetation cover can also affect MODIS measurements of aerosol optical thickness.


Journal of Geophysical Research | 2014

Intercomparison of aerosol single‐scattering albedo derived from AERONET surface radiometers and LARGE in situ aircraft profiles during the 2011 DRAGON‐MD and DISCOVER‐AQ experiments

J. S. Schafer; T. F. Eck; Brent N. Holben; K. L. Thornhill; Bruce E. Anderson; A. Sinyuk; David M. Giles; Edward L. Winstead; Luke D. Ziemba; A. J. Beyersdorf; P. R. Kenny; A. Smirnov; I. Slutsker

Single-scattering albedo (SSA) retrievals obtained with CIMEL Sun-sky radiometers from the Aerosol Robotic Network (AERONET) aerosol monitoring network were used to make comparisons with simultaneous in situ sampling from aircraft profiles carried out by the NASA Langley Aerosol Group Experiment (LARGE) team in the summer of 2011 during the coincident DRAGON-MD (Distributed Regional Aerosol Gridded Observational Network-Maryland) and DISCOVER-AQ (Deriving Information on Surface conditions from Column and Vertically Resolved Observations Relevant to Air Quality) experiments. The single-scattering albedos (interpolated to 550 nm) derived from AERONET measurements for aerosol optical depth (AOD) at 440 nm ≥ 0.4 (mean SSA: 0.979) were on average 0.011 lower than the values derived from the LARGE profile measurements (mean SSA: 0.99). The maximum difference observed was 0.023 with all the observed differences within the combined uncertainty for the stated SSA accuracy (0.03 for AERONET; 0.02 for LARGE). Single-scattering albedo averages were also analyzed for lower aerosol loading conditions (AOD ≥ 0.2) and a dependence on aerosol optical depth was noted with significantly lower single-scattering albedos observed for lower AOD in both AERONET and LARGE data sets. Various explanations for the SSA trend were explored based on other retrieval products including volume median radius and imaginary refractive index as well as column water vapor measurements. Additionally, these SSA trends with AOD were evaluated for one of the DRAGON-MD study sites, Goddard Space Flight Center, and two other Mid-Atlantic AERONET sites over the long-term record dating to 1999.


Canadian Journal of Remote Sensing | 2010

AERONET-OC: an overview

G. Zibordi; B. Holben; F. Mélin; D. D'Alimonte; J.-F. Berthon; I. Slutsker; David M. Giles

The ocean color component of the Aerosol Robotic Network (AERONET-OC) was established to support satellite ocean color validation activities in coastal waters through standardized measurements of atmospheric and marine optical quantities. Specifically, AERONET-OC can provide in situ spectral values of the normalized water-leaving radiance, LWN, and aerosol optical thickness, τa, through autonomous radiometers operating on fixed platforms in coastal waters. This work presents the rationale for the network and an overview of the measurement sites and applications. Focus is brought to the assessment of accuracies of coastal LWN from current satellite ocean color sensors: the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) onboard the OrbView-2 satellite, the Moderate Resolution Imaging Spectroradiometer (MODIS) onboard the Aqua platforms, and the Medium Resolution Imaging Spectrometer (MERIS) onboard the Envisat platform.


Journal of Geophysical Research | 2018

Observations of the Interaction and Transport of Fine Mode Aerosols With Cloud and/or Fog in Northeast Asia From Aerosol Robotic Network and Satellite Remote Sensing

T. F. Eck; Brent N. Holben; Jeffrey S. Reid; Peng Xian; David M. Giles; A. Sinyuk; A. Smirnov; J. S. Schafer; I. Slutsker; Ju-Hye Kim; J.‐H. Koo; M. Choi; K. C. Kim; Itaru Sano; Antti Arola; A. M. Sayer; Robert C. Levy; L. A. Munchak; N. T. O'Neill; Alexei Lyapustin; N. C. Hsu; C. A. Randles; A. da Silva; Virginie Buchard; R. C. Govindaraju; E. J. Hyer; J. H. Crawford; P. Wang; Xugui Xia

Analysis of sun photometer measured and satellite retrieved aerosol optical depth (AOD) data has shown that major aerosol pollution events with very high fine mode AOD (>1.0 in mid-visible) in the China/Korea/Japan region are often observed to be associated with significant cloud cover. This makes remote sensing of these events difficult even for high temporal resolution sun photometer measurements. Possible physical mechanisms for these events that have high AOD include a combination of aerosol humidification, cloud processing, and meteorological co-variation with atmospheric stability and convergence. The new development of Aerosol Robotic network (AERONET) Version 3 Level 2 AOD with improved cloud screening algorithms now allow for unprecedented ability to monitor these extreme fine mode pollution events. Further, the Spectral Deconvolution Algorithm (SDA) applied to Level 1 data (L1; no cloud screening) provides an even more comprehensive assessment of fine mode AOD than L2 in current and previous data versions. Studying the 2012 winter-summer period, comparisons of AERONET L1 SDA daily average fine mode AOD data showed that Moderate Resolution Imaging Spectroradiometer (MODIS) satellite remote sensing of AOD often did not retrieve and/or identify some of the highest fine mode AOD events in this region. Also, compared to models that include data assimilation of satellite retrieved AOD, the L1 SDA fine mode AOD was significantly higher in magnitude, particularly for the highest AOD events that were often associated with significant cloudiness.

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I. Slutsker

Goddard Space Flight Center

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J. S. Schafer

Goddard Space Flight Center

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A. Smirnov

Goddard Space Flight Center

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T. F. Eck

University of Maryland

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Jeffrey S. Reid

United States Naval Research Laboratory

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S. N. Tripathi

Indian Institute of Technology Kanpur

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A. Sinyuk

Goddard Space Flight Center

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