Denis Zyryanov

Bio: Denis Zyryanov is an academic researcher from École Polytechnique. The author has contributed to research in topics: Tropospheric ozone & Automotive engineering. The author has an hindex of 2, co-authored 3 publications receiving 182 citations. Previous affiliations of Denis Zyryanov include Centre national de la recherche scientifique.

Comparison of OMI NO2 tropospheric columns with an ensemble of global and European regional air quality models

Abstract: . We present a comparison of tropospheric NO2 from OMI measurements to the median of an ensemble of Regional Air Quality (RAQ) models, and an intercomparison of the contributing RAQ models and two global models for the period July 2008–June 2009 over Europe. The model forecasts were produced routinely on a daily basis in the context of the European GEMS ("Global and regional Earth-system (atmosphere) Monitoring using Satellite and in-situ data") project. The tropospheric vertical column of the RAQ ensemble median shows a spatial distribution which agrees well with the OMI NO2 observations, with a correlation r=0.8. This is higher than the correlations from any one of the individual RAQ models, which supports the use of a model ensemble approach for regional air pollution forecasting. The global models show high correlations compared to OMI, but with significantly less spatial detail, due to their coarser resolution. Deviations in the tropospheric NO2 columns of individual RAQ models from the mean were in the range of 20–34% in winter and 40–62% in summer, suggesting that the RAQ ensemble prediction is relatively more uncertain in the summer months. The ensemble median shows a stronger seasonal cycle of NO2 columns than OMI, and the ensemble is on average 50% below the OMI observations in summer, whereas in winter the bias is small. On the other hand the ensemble median shows a somewhat weaker seasonal cycle than NO2 surface observations from the Dutch Air Quality Network, and on average a negative bias of 14%. Full profile information was available for two RAQ models and for the global models. For these models the retrieval averaging kernel was applied. Minor differences are found for area-averaged model columns with and without applying the kernel, which shows that the impact of replacing the a priori profiles by the RAQ model profiles is on average small. However, the contrast between major hotspots and rural areas is stronger for the direct modeled vertical columns than the columns where the averaging kernels are applied, related to a larger relative contribution of the free troposphere and the coarse horizontal resolution in the a priori profiles compared to the RAQ models. In line with validation results reported in the literature, summertime concentrations in the lowermost boundary layer in the a priori profiles from the DOMINO product are significantly larger than the RAQ model concentrations and surface observations over the Netherlands. This affects the profile shape, and contributes to a high bias in OMI tropospheric columns over polluted regions. The global models indicate that the upper troposphere may contribute significantly to the total column and it is important to account for this in comparisons with RAQ models. A combination of upper troposphere model biases, the a priori profile effects and DOMINO product retrieval issues could explain the discrepancy observed between the OMI observations and the ensemble median in summer.

3-D evaluation of tropospheric ozone simulations by an ensemble of regional Chemistry Transport Model

Abstract: A detailed 3-D evaluation of an ensemble of five regional Chemistry Transport Models (RCTM) and one global CTM with focus on free tropospheric ozone over Europe is presented. It is performed over a summer period (June to August 2008) in the context of the GEMS-RAQ project. A data set of about 400 vertical ozone profiles from balloon soundings and commercial aircraft at 11 different locations is used for model evaluation, in addition to satellite measurements with the infrared nadir sounder (IASI) showing largest sensitivity to free tropospheric ozone. In the middle troposphere, the four regional models using the same top and boundary conditions from IFS-MOZART exhibit a systematic negative bias with respect to observed profiles of about-20 %. Root Mean Square Error (RMSE) values are constantly growing with altitude, from 22 % to 32 % to 53 %, respectively for 0-2 km, 2-8 km and 8-10 km height ranges. Lowest correlation is found in the middle troposphere, with minimum coefficients (R) between 0.2 to 0.45 near 8 km, as compared to 0.7 near the surface and similar values around10 km. A sensitivity test made with the CHIMERE mode also shows that using hourly instead of monthly chemical boundary conditions generally improves the model skill (i.e. improve RMSE and correlation). Lower tropospheric 0-6 km partial ozone columns derived from IASI show a clear North-South gradient over Europe, which is qualitatively reproduced by the models. Also the temporal variability showing decreasing ozone concentrations in the lower troposphere (0-6 km columns) during summer is well reproduced by models even if systematic bias remains (the value of the bias being also controlled by the type of used boundary conditions). A multi-day case study of a trough with low tropopause was conducted and showed that both IASI and models were able to resolve strong horizontal gradients of middle and upper tropospheric ozone occurring in the vicinity of an upper tropospheric frontal zone.

Ensemble Data Assimilation for Tropospheric Ozone Analysis Within the CHIMERE Regional Chemistry Transport Model

Abstract: The data assimilation method Ensemble Kalman Filtering has been used with the Chimere-model for tropospheric ozone over Europe and the results are presented and discussed

On an active method for improving the adaptability of fire truck transmissions to winter operating conditions

Abstract: This work is a continuation of the study set forth in the article "Passive method of increasing the adaptability of fire engine transmissions to winter operating conditions. In-deed, the thermal regime has a direct impact on the performance of power transmissions of fire engines (FE). Therefore, the present work proposes and experimentally investigated for efficiency a technical solution providing an increase in traction-speed qualities, durability, economy of fire vehicles in low-temperature conditions. The transmission oil of the drive bridge was heated by an electric heater (EH) from two autonomous batteries connected in series with a resulting voltage of 24 V. The homemade EH with a nominal power of 115 W was mounted in the plug of the drain hole of the crankcase of the front driving controlled bridge of the fire tanker WT-5,0-40 (URAL-3255). On the fire truck, oil temperature measuring equipment was installed, including a temperature sensor TS 014-50M.B3.20/3 and showing a device TPM501 located in the driver's cab. During the study, the main phases of carrying out the FE service in the calculation were modeled. As it is, it follows a typical route (transport mode of operation) at ambient temperature -20 °C, in parking lots as at the place of call (fire), as well as after the FE returns to the unit garage, i.e. when serving in standby mode in conditions of natural convection in calm air at a temperature of 15 °C. It was found that electric heating is very effective. The use reduces by one minute the time to overcome the FE route with a length of 3,6 km. EH significantly accelerates the process of heating oil in the leading bridge in the calm air of the depot, to a lesser extent when following special mobile equipment and very slightly when parking at the place of call.

The Ensemble Kalman Filter: Theoretical formulation and practical implementation

Abstract: The purpose of this paper is to provide a comprehensive presentation and interpretation of the Ensemble Kalman Filter (EnKF) and its numerical implementation. The EnKF has a large user group, and numerous publications have discussed applications and theoretical aspects of it. This paper reviews the important results from these studies and also presents new ideas and alternative interpretations which further explain the success of the EnKF. In addition to providing the theoretical framework needed for using the EnKF, there is also a focus on the algorithmic formulation and optimal numerical implementation. A program listing is given for some of the key subroutines. The paper also touches upon specific issues such as the use of nonlinear measurements, in situ profiles of temperature and salinity, and data which are available with high frequency in time. An ensemble based optimal interpolation (EnOI) scheme is presented as a cost-effective approach which may serve as an alternative to the EnKF in some applications. A fairly extensive discussion is devoted to the use of time correlated model errors and the estimation of model bias.

The EMEP MSC-W chemical transport model -- technical description

Abstract: The Meteorological Synthesizing Centre-West (MSC-W) of the European Monitoring and Evaluation Programme (EMEP) has been performing model calculations in support of the Convention on Long Range Transboundary Air Pollution (CLRTAP) for more than 30 years The EMEP MSC-W chemical transport model is still one of the key tools within European air pollution policy assessments Traditionally, the model has covered all of Europe with a resolution of about 50 km x 50 km, and extending vertically from ground level to the tropopause (100 hPa) The model has changed extensively over the last ten years, however, with flexible processing of chemical schemes, meteorological inputs, and with nesting capability: the code is now applied on scales ranging from local (ca 5 km grid size) to global (with 1 degree resolution) The model is used to simulate photo-oxidants and both inorganic and organic aerosols In 2008 the EMEP model was released for the first time as public domain code, along with all required input data for model runs for one year The second release of the EMEP MSC-W model became available in mid 2011, and a new release is targeted for summer 2012 This publication is in-tended to document this third release of the EMEP MSC-W model The model formulations are given, along with details of input data-sets which are used, and a brief background on some of the choices made in the formulation is presented The model code itself is available at wwwemepint, along with the data required to run for a full year over Europe

An improved tropospheric NO 2 column retrieval algorithm for the Ozone Monitoring Instrument

Abstract: . We present an improved tropospheric nitrogen dioxide column retrieval algorithm (DOMINO v2.0) for OMI based on better air mass factors (AMFs) and a correction for across-track stripes resulting from calibration errors in the OMI backscattered reflectances. Since October 2004, NO2 retrievals from the Ozone Monitoring Instrument (OMI), a UV/Vis nadir spectrometer onboard NASA's EOS-Aura satellite, have been used with success in several scientific studies focusing on air quality monitoring, detection of trends, and NOx emission estimates. Dedicated evaluations of previous DOMINO tropospheric NO2 retrievals indicated their good quality, but also suggested that the tropospheric columns were susceptible to high biases (by 0–40%), probably because of errors in the air mass factor calculations. Here we update the DOMINO air mass factor approach. We calculate a new look-up table (LUT) for altitude-dependent AMFs based on more realistic atmospheric profile parameters, and include more surface albedo and surface pressure reference points than before. We improve the sampling of the TM4 model, resulting in a priori NO2 profiles that are better mixed throughout the boundary layer. We evaluate the NO2 profiles simulated with the improved TM4 sampling as used in the AMF calculations and show that they are highly consistent with in situ NO2 measurements from aircraft during the INTEX-A and INTEX-B campaigns in 2004 and 2006. Our air mass factor calculations are further updated by the implementation of a high-resolution terrain height and a high-resolution surface albedo climatology based on OMI measurements. Together with a correction for across-track stripes, the overall impact of the improved terrain height and albedo descriptions is modest (

CHIMERE 2013: a model for regional atmospheric composition modelling

Abstract: . Tropospheric trace gas and aerosol pollutants have adverse effects on health, environment and climate. In order to quantify and mitigate such effects, a wide range of processes leading to the formation and transport of pollutants must be considered, understood and represented in numerical models. Regional scale pollution episodes result from the combination of several factors: high emissions (from anthropogenic or natural sources), stagnant meteorological conditions, kinetics and efficiency of the chemistry and the deposition. All these processes are highly variable in time and space, and their relative contribution to the pollutants budgets can be quantified with chemistry-transport models. The CHIMERE chemistry-transport model is dedicated to regional atmospheric pollution event studies. Since it has now reached a certain level a maturity, the new stable version, CHIMERE 2013, is described to provide a reference model paper. The successive developments of the model are reviewed on the basis of published investigations that are referenced in order to discuss the scientific choices and to provide an overview of the main results.