Titre :

The Dark Target Algorithm for Observing the Global Aerosol System: Past, Present, and Future

Auteur(s) :

Remer, Lorraine A. [Auteur]
University of Maryland [Baltimore County] [UMBC]
Levy, Robert C. [Auteur]
NASA Goddard Space Flight Center [GSFC]
Mattoo, Shana [Auteur]
NASA Goddard Space Flight Center [GSFC]
Science Systems and Applications, Inc. [Lanham] [SSAI]
Tanre, Didier [Auteur]
Laboratoire d’Optique Atmosphérique - UMR 8518 [LOA]
Gupta, Pawan [Auteur]
NASA Marshall Space Flight Center [MSFC]
Universities Space Research Association [Huntsville] [USRA]
Shi, Yingxi R. [Auteur]
NASA Goddard Space Flight Center [GSFC]
University of Maryland [Baltimore County] [UMBC]
Sawyer, Virginia [Auteur]
NASA Goddard Space Flight Center [GSFC]
Science Systems and Applications, Inc. [Lanham] [SSAI]
Munchak, Leigh A. [Auteur]
NASA Goddard Space Flight Center [GSFC]
Science Systems and Applications, Inc. [Lanham] [SSAI]
Zhou, Yaping [Auteur]
University of Maryland [Baltimore County] [UMBC]
Kim, Mijin [Auteur]
NASA Goddard Space Flight Center [GSFC]
Universities Space Research Association [Washington] [USRA]
Ichoku, Charles [Auteur]
Howard University
Patadia, Falguni [Auteur]
NASA Goddard Space Flight Center [GSFC]
Universities Space Research Association [Huntsville] [USRA]
Li, Rong-Rong [Auteur]
Naval Research Laboratory [NRL]
Gasso, Santiago [Auteur]
NASA Goddard Space Flight Center [GSFC]
Earth Science System Interdisciplinary Center [College Park] [ESSIC]
Kleidman, Richard G. [Auteur]
NASA Goddard Space Flight Center [GSFC]
Science Systems and Applications, Inc. [Lanham] [SSAI]
Holben, Brent N. [Auteur]
NASA Goddard Space Flight Center [GSFC]

Titre de la revue :

Remote Sensing

Nom court de la revue :

Remote Sens.

Numéro :

12

Pagination :

-

Date de publication :

2021-03-10

ISSN :

2072-4292

Mot(s)-clé(s) en anglais :

aerosol
remote sensing
MODIS
VIIRS

Discipline(s) HAL :

Planète et Univers [physics]/Océan, Atmosphère

Résumé en anglais : [en]

The Dark Target aerosol algorithm was developed to exploit the information content available from the observations of Moderate-Resolution Imaging Spectroradiometers (MODIS), to better characterize the global aerosol system. ...
Lire la suite >The Dark Target aerosol algorithm was developed to exploit the information content available from the observations of Moderate-Resolution Imaging Spectroradiometers (MODIS), to better characterize the global aerosol system. The algorithm is based on measurements of the light scattered by aerosols toward a space-borne sensor against the backdrop of relatively dark Earth scenes, thus giving rise to the name “Dark Target”. Development required nearly a decade of research that included application of MODIS airborne simulators to provide test beds for proto-algorithms and analysis of existing data to form realistic assumptions to constrain surface reflectance and aerosol optical properties. This research in itself played a significant role in expanding our understanding of aerosol properties, even before Terra MODIS launch. Contributing to that understanding were the observations and retrievals of the growing Aerosol Robotic Network (AERONET) of sun-sky radiometers, which has walked hand-in-hand with MODIS and the development of other aerosol algorithms, providing validation of the satellite-retrieved products after launch. The MODIS Dark Target products prompted advances in Earth science and applications across subdisciplines such as climate, transport of aerosols, air quality, and data assimilation systems. Then, as the Terra and Aqua MODIS sensors aged, the challenge was to monitor the effects of calibration drifts on the aerosol products and to differentiate physical trends in the aerosol system from artefacts introduced by instrument characterization. Our intention is to continue to adapt and apply the well-vetted Dark Target algorithms to new instruments, including both polar-orbiting and geosynchronous sensors. The goal is to produce an uninterrupted time series of an aerosol climate data record that begins at the dawn of the 21st century and continues indefinitely into the future.Lire moins >

Langue :

Anglais

Audience :

Internationale

Vulgarisation :

Non

Établissement(s) :

Université de Lille
CNRS

Collections :

• Laboratoire d'Optique Atmosphérique (LOA) - UMR 8518

Date de dépôt :

2024-01-16T22:12:47Z
2024-02-16T12:41:22Z