Atmospheric mineral dust particles have significant effects on climate and the environment, and despite notable
advances in modeling and satellite and ground-based measurements, remain one of the major factors contributing
to large uncertainty in aerosol radiative forcing. We examine the Multi-angle Imaging SpectroRadiometer (MISR)
11+ year aerosol data record to demonstrate MISR's unique strengths and assess potential biases of MISR
products for dust study applications. In particular, we examine MISR's unique capabilities to 1) distinguish
dust aerosol from spherical aerosol types, 2) provide aerosol optical depths over bright desert source regions, and
3) provide high-resolution retrievals of dust plume heights and associated winds. We show examples of regional
and global MISR data products in dusty regions together with quantitative evaluations of product accuracies
through comparisons with independent data sources, and demonstrate applications of MISR data to dust regional
and climatological studies, such as dust property evolution during transport, dust source climatology in relation
to climatic factors, and dust source dynamics. The potential use of MISR radiance data to study dust properties
is also discussed.
The Multi-angle Imaging SpectroRadiometer (MISR) is in its ninth year of operation aboard NASA's Terra satellite.
MISR acquires imagery at nine view angles between 70.5° forward and backward of nadir. Stereoscopic image matching
of red band data at 275-m horizontal spatial resolution provides measurements of aerosol plume heights in the vicinity
and downwind of wildfires. We are supplementing MISR's standard stereo product with more detailed, higher vertical
spatial resolution stereo retrievals over individual smoke plumes, using the MISR INteractive eXplorer (MINX) analysis
tool. To limit the amount of data that must be processed, MODIS (Moderate resolution Imaging Spectroradiometer)
thermal anomaly data are used to identify fire locations. Data over North America are being analyzed to generate a
climatology of smoke injection heights and to derive a general parameterization for the injection heights that can be used
within non-plume-resolving chemical transport models. In 2002, we find that up to about 30% of fire plumes over North
America reached the free troposphere. Sufficiently buoyant plumes tend to become trapped near stratified stable layers
within the atmospheric vertical profile, supporting a result first obtained on a more limited set of MISR data [1]. Data
from other years are being processed to further establish the robustness of these conclusions.
The Multi-angle Imaging SpectroRadiometer (MISR) instrument aboard Terra acquires imagery at 275-m resolution at
nine angles ranging from 0° to 70° off-nadir. This multi-angle capability facilitates the stereoscopic retrieval of smoke
heights associated with near-source plumes. A new visualization and analysis program called MISR INteractive eXplorer
(MINX) takes advantage of wind-direction information inherent in smoke plumes from active fires to determine plume
heights and wind speeds at higher resolution and with greater accuracy than provided by the standard, operational MISR
product. Among the software tool's many features are several designed for in-depth study of plumes, including
animations of the nine MISR camera images that provide a visual 3-D perspective, and interactive digitization of plumes
in order to automatically retrieve heights and winds. Aerosol properties from MISR, and fire power based on infrared
brightness temperatures from MODIS (also on Terra) are archived along with the retrieved height and wind data. MINX
retrievals have sufficient spatial detail to provide valuable input to studies of plume dynamics as well as large-scale
climatological studies. Current efforts are focusing on fires in North America, but application to other areas of the world
is also envisioned. Case study examples will be presented to illustrate MINX capabilities.
The Multi-angle Imaging SpectroRadiometer (MISR) has been acquiring global cloud and aerosol data from polar orbit
since February 2000. MISR acquires moderately high-resolution imagery at nine view angles from nadir to 70.5°, in four
visible/near-infrared spectral bands. Stereoscopic parallax, time lapse among the nine views, and the variation of
radiance with angle and wavelength enable retrieval of geometric cloud and aerosol plume heights, height-resolved
cloud-tracked winds, and aerosol optical depth and particle property information. Two instrument concepts based upon
MISR heritage are in development. The Cloud Motion Vector Camera, or WindCam, is a simplified version comprised
of a lightweight, compact, wide-angle camera to acquire multiangle stereo imagery at a single visible wavelength. A
constellation of three WindCam instruments in polar Earth orbit would obtain height-resolved cloud-motion winds with
daily global coverage, making it a low-cost complement to a spaceborne lidar wind measurement system. The
Multiangle SpectroPolarimetric Imager (MSPI) is aimed at aerosol and cloud microphysical properties, and is a
candidate for the National Research Council Decadal Survey's Aerosol-Cloud-Ecosystem (ACE) mission. MSPI
combines the capabilities of MISR with those of other aerosol sensors, extending the spectral coverage to the ultraviolet
and shortwave infrared and incorporating high-accuracy polarimetric imaging. Based on requirements for the nonimaging
Aerosol Polarimeter Sensor on NASA's Glory mission, a degree of linear polarization uncertainty of 0.5% is
specified within a subset of the MSPI bands. We are developing a polarization imaging approach using photoelastic
modulators (PEMs) to accomplish this objective.
Through acquisition of well-calibrated near-nadir and oblique-angle imagery (0° - 70° zenith angles) at moderately high
spatial resolution (275 m - 1.1 km), the Multi-angle Imaging SpectroRadiometer (MISR) experiment aboard NASA's
Terra satellite has taken atmospheric remote sensing in new directions. Retrieval algorithms that were largely conceptual
prior to Terra launch in 1999 have led to publicly available aerosol and cloud products with direct application to global
climate and particulate air quality research. Automated algorithms making use of stereoscopic parallax, time lapse
among the nine angular views, and the variation in radiance with view angle, scattering angle, and wavelength (446-866
nm) make possible unique data sets including geometric cloud and aerosol plume heights derived independently of
emissivity or temperature assumptions; height-resolved cloud-tracked winds; and aerosol optical depth and particle type
over a wide variety of surfaces including bright desert source regions. To illustrate these capabilities, examples of
regional and global MISR data products, quantitative evaluations of product accuracies based on comparisons with
independent data sources, and time series showing seasonal and interannual variations are presented here. Future sensor
improvements aimed at building upon MISR heritage, including expanding the spectral coverage to ultraviolet and
shortwave infrared wavelengths, adding polarization channels, and widening the sensor swath, are also discussed.
MODIS and MISR are two Earth Observing System instruments flown onboard Terra satellite. Their synergistic use could greatly benefit the broad user community by ensuring the global view of the Earth with high-quality products. A necessary condition for data fusion is radiometric calibration agreement between the two instruments. Earlier studies showed about 3% absolute radiometric difference between MISR and respective MODIS land bands in the visible and near-IR spectrum, which are also used in aerosol and cloud research. This study found a systematic bias of +(0.01-0.03) between two surface albedo products derived from MODIS and MISR L1B data using the AERONET-based Surface Reflectance Validation Network (ASRVN). The primary cause of the bias is inconsistencies in the cross-sensor calibration. To characterize MODIS-MISR calibration difference, top-of-atmosphere MODIS and MISR reflectances were regressed against each other over liquid water clouds. The empirical regression results have been adjusted for the differences in the respective MISR and MODIS spectral responses using radiative transfer simulations. The MISR-MODIS band gain differences estimated with this technique are +6.0% in the blue, +3.3% in the green, +2.7% in the red, and +0.8% in the NIR band. About 2.1%-3.6% of the difference in the blue band is due to the difference in the MODIS-MISR solar irradiance models.
Satellite measurements provide important tools for understanding
the effect of mineral dust aerosols on past and present climate
and climate predictions. Multi-angle instruments such as Multi-angle Imaging Spectro-Radiometer (MISR) provide independent constraints on aerosol properties based on their sensitivity to the shape of aerosol scattering phase functions. The current MISR operational retrieval algorithm (version 16 and higher) was modified by incorporating new non-spherical dust models that account for naturally occurring dust shapes and compositions. We present selected examples of MISR version 16 retrievals over AERONET sunphotometer land and ocean sites during the passage of dust fronts. Our analysis shows that during such events MISR retrieves Angstrom exponents characteristic of large particles, having little spectral variation in extinction over the MISR wavelength range (442, 550, 672 and 866 nm channels), as expected. The retrieved fraction of non-spherical particles is also very high. This quantity is not retrieved by satellite instruments having only nadir-viewing cameras. Our comparison of current (version 16) MISR-retrieved aerosol optical thickness (AOT) with AERONET instantaneous AOT shows better coverage and stronger correlations than when making identical comparisons with previous AOT retrievals (version 15). The MISR algorithm successful mixtures include a non-spherical dust component with high frequency in retrievals over dark water and slightly lower
frequency over land. Selection frequencies of non-spherical dust
models also decrease in dusty regions affected by pollution.
A number of factors affect the accuracy of aerosol retrievals from satellite imaging radiometers, including algorithm assumptions, the quality of the associated cloud masks, the prescribed aerosol optical and microphysical models, and calibration uncertainties. In this paper, we highlight a concerted effort by the Terra Multi-angle Imaging SpectroRadiometer (MISR) team to evaluate the accuracy and stability of the instrument's radiometric calibration, with the twofold objective of (1) making improvements in the absolute and relative calibration where supported by multiple lines of evidence, and (2) evaluating the effect of those calibration refinements on aerosol retrievals. Aspects of the instrument's on-board calibrator design, including careful pre-flight handling of the Spectralon diffusers and the novel use of detector-based standards, have contributed to excellent long-term radiometric stability. In addition, multiple methodologies, including comparisons with other Terra sensors, in-flight and laboratory tests involving AirMISR (the airborne counterpart to MISR), lunar observations, camera-to-camera radiometric comparisons at specialized viewing geometries, and investigations using surface-based radiometer data over dark water sites have provided a detailed picture of radiometric performance at the low light levels typical of a large fraction of global aerosol observations. We examine the sensitivity of aerosol property retrievals to small band-to-band and camera-to-camera calibration adjustments, and demonstrate the importance of calibration in meeting climate-quality accuracy requirements. Because combining downward-looking (satellite-based) and upward-looking (surface-based) radiometers can constrain the optical properties of an aerosol column to a greater extent than possible from either vantage point by itself, achieving radiometric consistency, or “closure” between them is essential to establishing a long-term aerosol/climate observing system.
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