TY - JOUR
AU - Timmermans, R.M.A.
AU - Schaap, M.
AU - Builtjes, P.
AU - Elbern, H.
AU - Siddans, R.
AU - Tjemkes, S.
AU - Vautard, R.
TI - An Observing System Simulation Experiment (OSSE) for Aerosol Optical Depth from Satellites
JO - Journal of atmospheric and oceanic technology
VL - 26
SN - 0739-0572
CY - Boston, Mass.
PB - AMS
M1 - PreJuSER-17062
SP - 2673 - 2682
PY - 2009
N1 - The Netherlands Institute for Aircraft and Space Travel (NIVR) and the former Netherlands Remote Sensing Board (BCRS) are acknowledged for providing funding in previous projects for improving the LOTOS-EUROS model and the ensemble Kalman filter methods.
AB - Monitoring aerosols over wide areas is a scientific challenge with important applications for human health and the understanding of climate. Aerosol optical depth (AOD) measurements from satellites can improve the highly needed analyzed and forecasted distributions of ground-level aerosols in combination with models and ground-based measurements. To assess the benefit of future satellite AOD measurements, an observing system simulation experiment (OSSE) is developed. In this pilot study, the OSSE is applied to total AOD measurements from a flexible combined imager (FCI) proposed to fly on a geostationary satellite. OSSEs are widely used in the meteorological research community, but their use for air quality applications and specifically for aerosols is new. In this paper, the functionality and potential of the developed OSSE for evaluation of aerosol data from future satellite missions are demonstrated. The results show a positive impact of adding AOD observations next to in situ observations for the analysis of PM2.5 (particles smaller than 2.5 mu m in median diameter) distributions. However, the development of an OSSE for aerosols presents a number of further challenges, as discussed in this paper, which prohibits a detailed quantitative analysis of the results of this pilot study.
KW - J (WoSType)
LB - PUB:(DE-HGF)16
UR - <Go to ISI:>//WOS:000272624200013
DO - DOI:10.1175/2009JTECHA1263.1
UR - https://juser.fz-juelich.de/record/17062
ER -