The Assimilation of Envisat data (ASSET) project

Lahoz, W. A.; Geer, Alan; Bekki, Slimane; Bormann, Niels; Ceccherini, Simone; Elbern, Hendrik; Errera, Quentin; Eskes, H. J.; Fonteyn, D.; Jackson, D. R.; Khattatov, B.; Marchand, Marion; Massart, S.; Peuch, Vincent-Henri; Rharmili, S.; Ridolfi, Marco; Segers, Arjo; Talagrand, O.; Thornton, Hazel; Vik, A. F.; Clarmann, T. von

doi:10.5194/acp-7-1773-2007

Cited by 74 publications

(33 citation statements)

References 71 publications

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“…We also explore the roles of the input data sets in the outcome of this exhaustive validation. Our study is similar to the intercomparison of ozone analyses realised in the Assimilation of Envisat Data (ASSET) project (Geer et al, 2006;Lahoz et al, 2007), with some major differences: here the DAS were configured primarily to satisfy operational constraints and deliver NRT products (and in the case of IFS-MOZART to deliver several tropospheric products in addition to stratospheric ozone); we assimilated a large variety of data sets while ASSET used only observations from Envisat (Environmental Satellite); and the investigated period is much longer (3 years instead of 5 months).…”

Section: Introductionmentioning

confidence: 79%

Copernicus stratospheric ozone service, 2009–2012: validation, system intercomparison and roles of input data sets

et al. 2015

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Abstract. This paper evaluates and discusses the quality of the stratospheric ozone analyses delivered in near real time by the MACC (Monitoring Atmospheric Composition and Climate) project during the 3-year period between September 2009 and September 2012. Ozone analyses produced by four different chemical data assimilation (CDA) systems are examined and compared: the Integrated Forecast System coupled to the Model for OZone And Related chemical Tracers (IFS-MOZART); the Belgian Assimilation System for Chemical ObsErvations (BASCOE); the Synoptic Analysis of Chemical Constituents by Advanced Data Assimilation (SACADA); and the Data Assimilation Model based on Transport Model version 3 (TM3DAM). The assimilated satellite ozone retrievals differed for each system; SACADA and TM3DAM assimilated only total ozone observations, BASCOE assimilated profiles for ozone and some related species, while IFS-MOZART assimilated both types of ozone observations. All analyses deliver total column values that agree well with ground-based observations (biases < 5 %) and have a realistic seasonal cycle, except for BASCOE analyses, which underestimate total ozone in the tropics all year long by 7 to 10 %, and SACADA analyses, which overestimate total ozone in polar night regions by up to 30 %. The validation of the vertical distribution is based on independent observations from ozonesondes and the ACE-FTS (Atmospheric Chemistry Experiment -Fourier Transform Spectrometer) satellite instrument. It cannot be performed with TM3DAM, which is designed only to deliver analyses of total ozone columns. Vertically alternating positive and negative biases are found in the IFS-MOZART analyses as well as an overestimation of 30 to 60 % in the polar lower stratosphere during polar ozone depletion events. SACADA underestimates lower stratospheric ozone by up to 50 % during these events above the South Pole and overestimates it by approximately the same amount in the tropics. The three-dimensional (3-D) analyses delivered by BASCOE are found to have the best quality among the three systems resolving the vertical dimension, with biases not exceeding 10 % all year long, at all stratospheric levels and in all latitude bands, except in the tropical lowermost stratosphere.The northern spring 2011 period is studied in more detail to evaluate the ability of the analyses to represent the exceptional ozone depletion event, which happened above the Arctic in March 2011. Offline sensitivity tests are performed during this month and indicate that the differences between the forward models or the assimilation algorithms are much less important than the characteristics of the assimilated data sets. They also show that IFS-MOZART is able to deliver realistic analyses of ozone both in the troposphere and in the stratoPublished by Copernicus Publications on behalf of the European Geosciences Union. sphere, but this requires the assimilation of observations from nadir-looking instruments as well as the assimilation of profiles, which are well resolved vertically an...

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Section: Introductionmentioning

confidence: 79%

Copernicus stratospheric ozone service, 2009–2012: validation, system intercomparison and roles of input data sets

et al. 2015

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“…Additional updates of emissions through active data assimilation have been shown to lead to improvements that last longer (Lahoz et al, 2007;Timmermans et al, 2009;Curier et al, 2012). To allow parameter estimation and further improvements of forecasts, emission monitoring assimilation strategies for air pollutants were developed since the late 1990s.…”

Section: Data Assimilation Systemmentioning

confidence: 99%

Curriculum vitae of the LOTOS–EUROS (v2.0) chemistry transport model

et al. 2017

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Abstract. The development and application of chemistry transport models has a long tradition. Within the Netherlands the LOTOS-EUROS model has been developed by a consortium of institutes, after combining its independently developed predecessors in 2005. Recently, version 2.0 of the model was released as an open-source version. This paper presents the curriculum vitae of the model system, describing the model's history, model philosophy, basic features and a validation with EMEP stations for the new benchmark year 2012, and presents cases with the model's most recent and key developments. By setting the model developments in context and providing an outlook for directions for further development, the paper goes beyond the common model description.With an origin in ozone and sulfur modelling for the models LOTOS and EUROS, the application areas were gradually extended with persistent organic pollutants, reactive nitrogen, and primary and secondary particulate matter. After the combination of the models to LOTOS-EUROS in 2005, the model was further developed to include new source parametrizations (e.g. road resuspension, desert dust, wildfires), applied for operational smog forecasts in the Netherlands and Europe, and has been used for emission scenarios, source apportionment, and long-term hindcast and climate change scenarios. LOTOS-EUROS has been a front-runner in data assimilation of ground-based and satellite observations and has participated in many model intercomparison studies. The model is no longer confined to applications over Europe but is also applied to other regions of the world, e.g. China. The increasing interaction with emission experts has also contributed to the improvement of the model's performance. The philosophy for model development has always been to use knowledge that is state of the art and proven, to keep a good balance in the level of detail of process description and accuracy of input and output, and to keep a good record on the effect of model changes using benchmarking and validation. The performance of v2.0 with respect to EMEP observations is good, with spatial correlations around 0.8 or higher for concentrations and wet deposition. Temporal correlations are around 0.5 or higher. Recent innovative applications include source apportionment and data assimilation, particle number modelling, and energy transition scenarios including corresponding land use changes as well as Saharan dust forecasting. Future developments would enable more flexibility with respect to model horizontal and vertical resolution and further detailing of model input data.Published by Copernicus Publications on behalf of the European Geosciences Union.

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“…The assimilation system used in this study is MOCAGE-PALM (e.g., El Amraoui et al, 2008a) developed jointly by Météo-France and CERFACS (Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique) in the framework of the AS-SET European project (Lahoz et al, 2007b). The assimilation module used in this study is PALM, a modular and flexible software, which consists of elementary components that exchange the data (Lagarde et al, 2001).…”

Section: The Assimilation Runmentioning

confidence: 99%

Impact of spaceborne carbon monoxide observations from the S-5P platform on tropospheric composition analyses and forecasts

Abida¹,

Attié

Amraoui³

et al. 2017

Atmos. Chem. Phys.

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Abstract. We use the technique of Observing System Simulation Experiments (OSSEs) to quantify the impact of spaceborne carbon monoxide (CO) total column observations from the Sentinel-5 Precursor (S-5P) platform on tropospheric analyses and forecasts. We focus on Europe for the period of northern summer 2003, when there was a severe heat wave episode associated with extremely hot and dry weather conditions. We describe different elements of the OSSE: (i) the nature run (NR), i.e., the "truth"; (ii) the CO synthetic observations; (iii) the assimilation run (AR), where we assimilate the observations of interest; (iv) the control run (CR), in this study a free model run without assimilation; and (v) efforts to establish the fidelity of the OSSE results. Comparison of the results from AR and the CR, against the NR, shows that CO total column observations from S-5P provide a significant benefit (at the 99 % confidence level) at the surface, with the largest benefit occurring over land in regions far away from emission sources. Furthermore, the S-5P CO total column observations are able to capture phenomena such as the forest fires that occurred in Portugal during northern summer 2003. These results provide evidence of the benefit of S-5P observations for monitoring processes contributing to atmospheric pollution.

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The Assimilation of Envisat data (ASSET) project

Cited by 74 publications

References 71 publications

Copernicus stratospheric ozone service, 2009–2012: validation, system intercomparison and roles of input data sets

Copernicus stratospheric ozone service, 2009–2012: validation, system intercomparison and roles of input data sets

Curriculum vitae of the LOTOS–EUROS (v2.0) chemistry transport model

Impact of spaceborne carbon monoxide observations from the S-5P platform on tropospheric composition analyses and forecasts

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