Using the PARAGON framework to establish an accurate, consistent, and cohesive long-term aerosol record

被引:8
作者
Diner, DJ
Menzies, RT
Kahn, RA
Anderson, TL
Bösenberg, J
Charlson, RJ
Holben, BN
Hostetler, CA
Miller, MA
Ogren, JA
Stephens, GL
Torres, O
Wielicki, BA
Rasch, PJ
Travis, LD
Collins, WD
机构
[1] CALTECH, Jet Prop Lab, Pasadena, CA 91109 USA
[2] Univ Washington, Seattle, WA 98195 USA
[3] Max Planck Inst Meteorol, Hamburg, Germany
[4] NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA
[5] NASA, Langley Res Ctr, Hampton, VA 23665 USA
[6] Brookhaven Natl Lab, Upton, NY 11973 USA
[7] NOAA, Climate Monitoring & Diagnost Lab, Boulder, CO 80303 USA
[8] Colorado State Univ, Ft Collins, CO 80523 USA
[9] Univ Maryland Baltimore Cty, Baltimore, MD 21228 USA
[10] Natl Ctr Atmospher Res, Boulder, CO 80307 USA
[11] NASA, Goddard Inst Space Studies, New York, NY 10025 USA
关键词
D O I
10.1175/BAMS-85-10-1535
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
A comprehensive and cohesive aerosol measurement record with consistent, well-understood uncertainties is a prerequisite to understanding aerosol impacts on long-term climate and environmental variability. Objectives to attaining such an understanding include improving upon the current state-of-the-art sensor calibration and developing systematic validation methods for remotely sensed microphysical properties. While advances in active and passive remote sensors will lead to needed improvements in retrieval accuracies and capabilities, ongoing validation is essential so that the changing sensor characteristics do not mask atmospheric trends. Surface-based radiometer, chemical, and lidar networks have critical roles within an integrated observing system, yet they currently undersample key geographic regions, have limitations in certain measurement capabilities, and lack stable funding. In situ aircraft observations of size-resolved aerosol chemical composition are necessary to provide important linkages between active and passive remote sensing. A planned, systematic approach toward a global aerosol observing network, involving multiple sponsoring agencies and surface-based, suborbital, and spaceborne sensors, is required to prioritize trade-offs regarding capabilities and costs. This strategy is a key ingredient of the Progressive Aerosol Retrieval and Assimilation Global Observing Network (PARAGON) framework. A set of recommendations is presented.
引用
收藏
页码:1535 / 1548
页数:14
相关论文
共 87 条
[51]   Physical properties of the Indian aerosol plume derived from six-wavelength lidar observations on 25 March 1999 of the Indian Ocean Experiment [J].
Müller, D ;
Wagner, F ;
Althausen, D ;
Wandinger, U ;
Ansmann, A .
GEOPHYSICAL RESEARCH LETTERS, 2000, 27 (09) :1403-1406
[52]   Comprehensive particle characterization from three-wavelength Raman-lidar observations:: case study [J].
Müller, D ;
Wandinger, U ;
Althausen, D ;
Fiebig, M .
APPLIED OPTICS, 2001, 40 (27) :4863-4869
[53]   Microphysical particle parameters from extinction and backscatter lidar data by inversion with regularization:: experiment [J].
Müller, D ;
Wagner, F ;
Wandinger, U ;
Ansmann, A ;
Wendisch, M ;
Althausen, D ;
von Hoyningen-Huene, W .
APPLIED OPTICS, 2000, 39 (12) :1879-1892
[54]   MISR stereoscopic image matchers: Techniques and results [J].
Muller, JP ;
Mandanayake, A ;
Moroney, C ;
Davies, R ;
Diner, DJ ;
Paradise, S .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2002, 40 (07) :1547-1559
[55]  
*NACIP, 2002, WHAT SYST OBS AR NEE
[56]   Assessment of MISR and MODIS cloud top heights through intercomparison with a back-scattering lidar at SIRTA [J].
Naud, C ;
Muller, JP ;
Haeffelin, M ;
Morille, Y ;
Delaval, A .
GEOPHYSICAL RESEARCH LETTERS, 2004, 31 (04) :L041141-5
[57]  
NRC, 1999, AD CLIM OBS SYST
[58]  
O'Brien DM, 1998, J ATMOS OCEAN TECH, V15, P1272, DOI 10.1175/1520-0426(1998)015<1272:AMOAMF>2.0.CO
[59]  
2
[60]  
OHRING G, 2004, 7047 NAT I STAND TEC