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This paper discusses the global analyses of stratospheric ozone (O 3) and nitrogen dioxide (NO 2) obtained by the Belgian Assimilation System for Chemical Observations from Envisat (BASCOE). Based on a chemistry transport model (CTM) and the 4-dimensional variational (4D-Var) method, BASCOE has assimilated chemical obser-Our analyses are evaluated against(More)
This paper examines 11 sets of ozone analyses from 7 different data assimilation systems. Two are numerical weather prediction (NWP) systems based on general circulation models (GCMs); the other five use chemistry transport models (CTMs). These systems contain either linearised or detailed ozone chemistry, or no chemistry at all. 5 In most analyses, MIPAS(More)
(b) ISAC-CNR, via Gobetti 101 – 40129 Bologna (Italy) (c) IFAC-CNR, via Panciatichi 64 – 50127 Firenze (Italy) ABSTRACT The retrieval code developed for the Level 2 analysis of MIPAS data contains several optimisations aimed to provide, in near real time and in an automated way, atmospheric vertical profiles of temperature, pressure and volume mixing ratios(More)
Outline • OSSE general definition • OSSE objectives • OSSE " rules " • OSSE framework – Nature Run – Realism check – Simulated observations – Validation/calibration (OSEs) – Forecasting experiments – Impact assessment (impact metrics) • Examples – NCEP adaptive targeting OSSEs for Doppler Wind Lidar – GSFC hurricane forecasting OSSEs for Doppler Wind Lidar(More)
Climate change, air quality, and environmental degradation are important societal challenges for the Twenty-first Century. These challenges require an intelligent response from society, which in turn requires access to information about the Earth System. This information comes from observations and prior knowledge, the latter typically embodied in a model(More)
This paper discusses the latest results from ongoing work concerning the calibration and evaluation of temperature and ozone from the Microwave Limb Sounder (MLS) instrument aboard NASA's Upper Atmosphere Research Satellite (UARS). The method involves using the data assimilation statistics from the UK Met. Office Numerical Weather Prediction (NWP) System.(More)
The recent emergence of low-cost microsensors measuring various air pollutants has significant potential for carrying out high-resolution mapping of air quality in the urban environment. However, the data obtained by such sensors are generally less reliable than that from standard equipment and they are subject to significant data gaps in both space and(More)