Linearization of vector radiative transfer with respect to aerosol properties and its use in satellite remote sensing

2005 ◽  
Vol 110 (D4) ◽  
Author(s):  
Otto P. Hasekamp
Keyword(s):  
Remote Sensing ◽  
Radiative Transfer ◽  
Satellite Remote Sensing ◽  
Aerosol Properties

scholarly journals A novel methodology for large-scale daily assessment of the direct radiative forcing of smoke aerosols

2015 ◽  
Vol 15 (10) ◽  
pp. 5471-5483 ◽  
Author(s):  
E. T. Sena ◽  
P. Artaxo
Keyword(s):  
Remote Sensing ◽  
Spatial Distribution ◽  
Radiative Transfer ◽  
Biomass Burning ◽  
Satellite Remote Sensing ◽  
Radiative Forcing ◽  
High Temporal Resolution ◽  
Radiation Balance ◽  
Direct Radiative Forcing ◽  
The Impact

Abstract. A new methodology was developed for obtaining daily retrievals of the direct radiative forcing of aerosols (24h-DARF) at the top of the atmosphere (TOA) using satellite remote sensing. Simultaneous CERES (Clouds and Earth's Radiant Energy System) shortwave flux at the top of the atmosphere and MODIS (Moderate Resolution Spectroradiometer) aerosol optical depth (AOD) retrievals were used. To analyse the impact of forest smoke on the radiation balance, this methodology was applied over the Amazonia during the peak of the biomass burning season from 2000 to 2009. To assess the spatial distribution of the DARF, background smoke-free scenes were selected. The fluxes at the TOA under clean conditions (Fcl) were estimated as a function of the illumination geometry (θ0) for each 0.5° × 0.5° grid cell. The instantaneous DARF was obtained as the difference between the clean (Fcl (θ0)) and the polluted flux at the TOA measured by CERES in each cell (Fpol (θ0)). The radiative transfer code SBDART (Santa Barbara DISORT Radiative Transfer model) was used to expand instantaneous DARFs to 24 h averages. This new methodology was applied to assess the DARF both at high temporal resolution and over a large area in Amazonia. The spatial distribution shows that the mean 24h-DARF can be as high as −30 W m−2 over some regions. The temporal variability of the 24h-DARF along the biomass burning season was also studied and showed large intraseasonal and interannual variability. We showed that our methodology considerably reduces statistical sources of uncertainties in the estimate of the DARF, when compared to previous approaches. DARF assessments using the new methodology agree well with ground-based measurements and radiative transfer models. This demonstrates the robustness of the new proposed methodology for assessing the radiative forcing for biomass burning aerosols. To our knowledge, this is the first time that satellite remote sensing assessments of the DARF have been compared with ground-based DARF estimates.

New approach for radiative transfer in sea ice and its application for sea ice satellite remote sensing

2013 ◽  
Author(s):  
E. P. Zege ◽  
A. V. Malinka ◽  
I. L. Katsev ◽  
A. S. Prikhach ◽  
G. Heygster
Keyword(s):  
Remote Sensing ◽  
Radiative Transfer ◽  
Sea Ice ◽  
Satellite Remote Sensing ◽  
New Approach

Spectroscopy and Radiative Transfer of Planetary Atmospheres

2017 ◽  
Author(s):  
Kelly Chance ◽  
Randall V. Martin
Keyword(s):  
Remote Sensing ◽  
Radiative Transfer ◽  
Satellite Remote Sensing ◽  
Field Measurements ◽  
Atmospheric Science ◽  
Planetary Atmospheres ◽  
Planetary Science ◽  
Atmospheric Composition ◽  
Systematic Observation ◽  
New Instrumentation

This book develops both spectroscopy and radiative transfer for planetary atmospheric composition in a rigorous and quantitative sense for students of atmospheric and/or planetary science. Spectroscopic field measurements including satellite remote sensing have advanced rapidly in recent years, and are being increasingly applied to provide information about planetary atmospheres. Examples include systematic observation of the atmospheric constituents that affect weather, climate, biogeochemical cycles, air quality on Earth, as well as the physics and evolution of planetary atmospheres in our solar system and beyond. Understanding atmospheric spectroscopy and radiative transfer is important throughout the disciplines of atmospheric science and planetary atmospheres to understand principles of remote sensing of atmospheric composition and the effects of atmospheric composition on climate. Atmospheric scientists need an understanding of the details, strength and weaknesses of the spectroscopic measurement sources. Those in remote sensing require an understanding of the information content of the measured spectra that are needed for the design of retrieval algorithms and for developing new instrumentation.

scholarly journals An overview of meso-scale aerosol processes, comparison and validation studies from DRAGON networks

2017 ◽  
Author(s):  
Brent N. Holben ◽  
Jhoon Kim ◽  
Itaru Sano ◽  
Sony Mukai ◽  
Thomas F. Eck ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Satellite Remote Sensing ◽  
Global Network ◽  
Special Issue ◽  
Airborne Measurements ◽  
The Past ◽  
Meso Scale ◽  
Aerosol Properties

Abstract. The AErosol RObotic NETwork (AERONET) program over the past 24 years has provided highly accurate remote sensing characterization of aerosol optical and physical properties for an increasingly extensive geographic distribution that includes all continents and many island sites. The measurements and retrievals from the AERONET global network have addressed satellite and model validation needs very well, but there have been challenges in making comparisons to similar parameters from in situ surface and airborne measurements. Additionally, with improved spatial and temporal satellite remote sensing of aerosols, there is a need for higher spatial resolution ground-based remote sensing networks. An effort to address this need resulted in a number of field campaign networks called Distributed Regional Aerosol Gridded Observation Networks (DRAGONs) that were designed to provide a database for in situ and remote sensing comparison and analysis of local to meso-scale variability of aerosol properties. This paper describes the networks that that have contributed and will continue to contribute to that body of research. The research presented in this special issue illustrates the diversity of topics that has resulted from the application of data from these networks.

Investigating aerosol properties in Peninsular Malaysia via the synergy of satellite remote sensing and ground-based measurements

2014 ◽  
Vol 138 ◽  
pp. 223-239 ◽  
Author(s):  
Kasturi Devi Kanniah ◽  
Hui Qi Lim ◽  
Dimitris G. Kaskaoutis ◽  
Arthur P. Cracknell
Keyword(s):  
Remote Sensing ◽  
Satellite Remote Sensing ◽  
Peninsular Malaysia ◽  
Aerosol Properties

scholarly journals A novel method of identifying and analysing oil smoke plumes based on synergic satellite data

2021 ◽  
Author(s):  
Alexandru Mereuță ◽  
Nicolae Ajtai ◽  
Andrei Titus Radovici ◽  
Nikolaos Papagiannopoulos ◽  
Lucia Timea Deaconu ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Black Carbon ◽  
Satellite Data ◽  
Extinction Coefficient ◽  
Satellite Remote Sensing ◽  
Smoke Plumes ◽  
Lidar Ratio ◽  
Remote Sensing Techniques ◽  
532 Nm ◽  
Aerosol Properties

Abstract. Black carbon aerosols are the second largest contributor to global warming while also being linked to respiratory and cardiovascular disease. These particles are generally found in smoke plumes originating from biomass burning and fossil fuel combustion. They are also heavily concentrated in smoke plumes originating from oil fires exhibiting the largest ratio of black carbon to organic carbon. In this study, we identified and analyzed oil smoke plumes derived from 30 major industrial events within a 12-year timeframe. To our knowledge, this is the first study of its kind that utilized a synergetic approach based on satellite remote sensing techniques. One objective of this study is to highlight the importance of satellite remote sensing techniques in identifying these types of events. As opposed to ground stations, satellite data offers access to remote areas all over the globe which would otherwise be very difficult to reach. Satellite data offers access to these events which, as seen in this study, are mainly located in war prone or hazardous areas. This study focuses on the use of MODIS (Moderate Resolution Imaging Spectroradiometer) and CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations) products regarding these types of aerosol while also highlighting their intrinsic limitations. By using data from both MODIS instruments onboard Terra and Aqua satellites we addressed the temporal evolution of the smoke plume while assessing Lidar specific properties and plume elevation using CALIPSO data. We present several aerosol properties in the form of plume specific averaged values. The MODIS ocean algorithms were successful in retrieving aerosol properties which, on average, ranged from −0.06 to 0.16 for plume specific AOD, −0.18 to 1.25 for Ångström exponent and 0.29 to 1.73 µm for the effective radius. CALIPSO measurements showed values of plume AOD ranging from 0 to 0.14 (532 nm) and 0 to 0.13 (1064 nm) except for one event where AOD values showed 1.52 (532 nm) and 1.42 (1064 nm). AE values ranged from 0.11 to 0.33 which were in agreeance with MODIS values. A large discrepancy can be found in one event where CALIPSO measured AOD values 5 times higher than MODIS. This event also produced the largest lidar ratio at 109 sr (532 nm) and 86 (1064 nm). Other lidar ratio values ranged from 37 to 55 sr however these unconstrained solutions were obtained for the entire layer of which the plumes were a part of and thus did not reflect specific plume conditions. Particulate backscatter values ranged from 0.002 to 0.0017 km−1 sr−1 while extinction coefficient values ranged from 0.10 to 1.65 km−1. On average backscatter and extinction coefficient values were 2 to 9 times higher than local background values. Particulate depolarization ratios ranged from 0.11 to 0.15 in 4 out of 6 cases while the remaining two ranged from 0.27 to 0.32 where dust was highly dominant. The values represented in this study are in good agreement with similar studies that used ground based and flight measurements. We believe that MODIS values are a conservative estimation of plume AOD since MODIS algorithms rely on general aerosol models and various atmospheric conditions within the look-up tables which do not reflect the highly absorbing nature of these smoke plumes. CALIPSO measurements are heavily dependent on lidar ratios which are not directly measured if plumes within the planetary boundary layer. We also believe that AOD values based on CALIPSO measurements are conservative in nature since heavy absorbing smoke would yield larger lidar ratios and AOD values. Based on this study we conclude that the MODIS land algorithms are not yet suited for retrieving aerosol properties for these types of smoke plumes due to the strong absorbing properties of these aerosols. We believe that these types of studies are a strong indicator for the need of improved aerosol models and retrieval algorithms.

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