Comparing ECMWF AOD with AERONET observations at visible and UV wavelengths

Cesnulyte, V.; Lindfors, Anders V.; Pitkänen, Mikko R. A.; Lehtinen, K. E. J.; Morcrette, J.-J.; Arola, Antti

doi:10.5194/acp-14-593-2014

Cited by 70 publications

(67 citation statements)

References 39 publications

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“…Previous dust evaluations have extensively used AERONET and ground-based and space-borne lidars data to assess the column dust content provided by dust models (i.e. Pérez et al, 2006;Schmechtig et al, 2011;Tegen et al, 2013;Cesnulyte et al, 2014), and PM 10 for surface dust concentration validation .…”

Section: Measurements Used For Validationmentioning

confidence: 99%

“…More detailed validation results have been (and will be) described in several scientific papers from the individual partners of VAL Cuevas et al, 2015;Wagner et al, 2015;Langerock et al, 2015;Katragkou et al, 2015) or contributions to papers led by partners from other sub-projects of MACC Flemming et al, 2015;Pérez García-Pando et al, 2014;Stein et al, 2014;Cesnulyte et al, 2014). Several of these papers are submitted to the MACC special issue of the EGU Copernicus journals Atmospheric Chemistry and …”

Section: Introductionmentioning

confidence: 99%

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Validation of reactive gases and aerosols in the MACC global analysis and forecast system

et al. 2015

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The European MACC (Monitoring Atmospheric Composition and Climate) project is preparing the operational Copernicus Atmosphere Monitoring Service (CAMS), one of the services of the European Copernicus Programme on Earth observation and environmental services. MACC uses data assimilation to combine in situ and remote sensing observations with global and regional models of atmospheric reactive gases, aerosols, and greenhouse gases, and is based on the Integrated Forecasting System of the European Centre for Medium-Range Weather Forecasts (ECMWF). The global component of the MACC service has a dedicated validation activity to document the quality of the atmospheric composition products. In this paper we discuss the approach to validation that has been developed over the past 3 years. Topics discussed are the validation requirements, the operational aspects, the measurement data sets used, the structure of the validation reports, the models and assimilation systems validated, the procedure to introduce new upgrades, and the scoring methods. One specific target of the MACC system concerns forecasting special events with high-pollution concentrations. Such events receive extra attention in the validation process. Finally, a summary is provided of the results from the validation of the latest set of daily global analysis and forecast products from the MACC system reported in November 2014

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Section: Measurements Used For Validationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Validation of reactive gases and aerosols in the MACC global analysis and forecast system

et al. 2015

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“…The low bias is particularly important for the Ispra site (mean yearly bias -MB -of 0.11) with sulfate as the dominant aerosol all year round in observations (Cesnulyte et al, 2014), as it is also the case in the model output. This underestimation could be questioned as the data quality score of Kinne et al (2013) is moderate only for this ISPRA site, the remaining of the Cesnulyte et al (2014) sites having an excellent quality score.…”

Section: Fractional Aodmentioning

confidence: 99%

“…Analyses of the characteristics of the simulated aerosols during this 10-year MACC Reanalysis appear in various papers including those of Bellouin et al (2013), Melas et al (2013), Nabat et al (2013), and Cesnulyte et al (2014).…”

Section: The Macc Reanalysis Datamentioning

confidence: 99%

Development and basic evaluation of a prognostic aerosol scheme (v1) in the CNRM Climate Model CNRM-CM6

2015

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Abstract.We have implemented a prognostic aerosol scheme (v1) in CNRM-CM6, the climate model of CNRM-GAME and CERFACS, based upon the GEMS/MACC aerosol module of the ECMWF operational forecast model. This scheme describes the physical evolution of the five main types of aerosols, namely black carbon, organic matter, sulfate, desert dust and sea salt. In this work, we describe the characteristics of our implementation, for instance, taking into consideration a different dust scheme or boosting biomass burning emissions by a factor of 2, as well as the evaluation performed on simulation output. The simulations consist of time slice simulations for 2004 conditions and transient runs over the 1993-2012 period, and are either free-running or nudged towards the ERA-Interim Reanalysis. Evaluation data sets include several satellite instrument AOD (aerosol optical depth) products (i.e., MODIS Aqua classic and Deep-Blue products, MISR and CALIOP products), as well as ground-based AERONET data and the derived AERONET climatology, MAC-v1. The uncertainty of aerosol-type seasonal AOD due to model internal variability is low over large parts of the globe, and the characteristics of a nudged simulation reflect those of a free-running simulation. In contrast, the impact of the new dust scheme is large, with modelled dust AODs from simulations with the new dust scheme close to observations. Overall patterns and seasonal cycles of the total AOD are well depicted with, however, a systematic low bias over oceans. The comparison to the fractional MAC-v1 AOD climatology shows disagreements mostly over continents, while that to AERONET sites outlines the capability of the model to reproduce monthly climatologies under very diverse dominant aerosol types. Here again, underestimation of the total AOD appears in several cases, sometimes linked to insufficient efficiency of the aerosol transport away from the aerosol sources. Analysis of monthly time series at 166 AERONET sites shows, in general, correlation coefficients higher than 0.5 and lower model variance than observed. A large interannual variability can also be seen in the CALIOP vertical profiles over certain regions of the world. Overall, this prognostic aerosol scheme appears promising for aerosol-climate studies. There is room, however, for implementing more complex parameterisations in relation to aerosols.

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“…Taking into account previous studies in the literature Basart et al, 2009;Guirado et al, 2014;Cesnulyte et al, 2014;Cuevas et al, 2015) and AERONET climatology tables (https://aeronet.gsfc.nasa.gov/cgi-bin/climo_ menu_v2_new), AOD desert stations such as Tamanrasset (Algeria), Ouarzazate (Morocco), Dakar (Senegal) and Solar Village (Saudi Arabia) show monthly and seasonal values typically ranging between 0.04 (Ouarzazate in January) and 0.67 (Dakar in June), with sporadic AOD maxima > 1 associated with strong desert dust outbreaks or local dust resuspension. Therefore, we have focused our sensitivity study in AOD conditions varying between 0.5, which corresponds to hazy conditions by dust, and 1, indicating strong dust intrusions.…”

Section: Instrumental Error Sensitivitymentioning

confidence: 99%

A new zenith-looking narrow-band radiometer-based system (ZEN) for dust aerosol optical depth monitoring

et al. 2017

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Abstract.A new zenith-looking narrow-band radiometer based system (ZEN), conceived for dust aerosol optical depth (AOD) monitoring, is presented in this paper. The ZEN system comprises a new radiometer (ZEN-R41) and a methodology for AOD retrieval (ZEN-LUT). ZEN-R41 has been designed to be stand alone and without moving parts, making it a low-cost and robust instrument with low maintenance, appropriate for deployment in remote and unpopulated desert areas. The ZEN-LUT method is based on the comparison of the measured zenith sky radiance (ZSR) with a look-up table (LUT) of computed ZSRs. The LUT is generated with the LibRadtran radiative transfer code. The sensitivity study proved that the ZEN-LUT method is appropriate for inferring AOD from ZSR measurements with an AOD standard uncertainty up to 0.06 for AOD 500 nm ∼ 0.5 and up to 0.15 for AOD 500 nm ∼ 1.0, considering instrumental errors of 5 %. The validation of the ZEN-LUT technique was performed using data from AErosol RObotic NETwork (AERONET) Cimel Electronique 318 photometers (CE318). A comparison between AOD obtained by applying the ZEN-LUT method on ZSRs (inferred from CE318 diffuse-sky measurements) and AOD provided by AERONET (derived from CE318 direct-sun measurements) was carried out at three sites characterized by a regular presence of desert mineral dust aerosols: Izaña and Santa Cruz in the Canary Islands and Tamanrasset in Algeria. The results show a coefficient of determination (R 2 ) ranging from 0.99 to 0.97, and root mean square errors (RMSE) ranging from 0.010 at Izaña to 0.032 at Tamanrasset. The comparison of ZSR values from ZEN-R41 and the CE318 showed absolute relative mean bias (RMB) < 10 %. ZEN-R41 AOD values inferred from ZEN-LUT methodology were compared with AOD provided by AERONET, showing a fairly good agreement in all wavelengths, with mean absolute AOD differences < 0.030 and R 2 higher than 0.97.

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Comparing ECMWF AOD with AERONET observations at visible and UV wavelengths

Cited by 70 publications

References 39 publications

Validation of reactive gases and aerosols in the MACC global analysis and forecast system

Validation of reactive gases and aerosols in the MACC global analysis and forecast system

Development and basic evaluation of a prognostic aerosol scheme (v1) in the CNRM Climate Model CNRM-CM6

A new zenith-looking narrow-band radiometer-based system (ZEN) for dust aerosol optical depth monitoring

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