Meteorological optical range predictability with the use of high resolution mesoscale models

The report describes and argues in favor of the data base for numerical experiments with hydrodynamic and photochemical atmospheric models with the purpose of the meteorological visibility forecast. The obtained results demonstrate methodological potential of this approach. © (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only

Using WRF mesoscale model to restore temperature profile in atmosphere boundary layer in Tomsk

In the paper, the possible use of a WRF mesoscale model for the detailed restoring of a temperature profile in the atmosphere boundary layer (ABL) during winter anticyclone is studied. The correctness of air temperature modeling as well as the possible use of a WRF model for predicting a vertical temperature distribution was show

Remote sensing of potential aircraft icing areas

Remote sensing technique of detection of potential aircraft icing areas based on temperature profile measurements, using meteorological temperature profiler, and the data of the Airfield Measuring and Information System (AMIS-RF), was proposed, theoretically described and experimentally validated during the field project in 2012 - 2013 in the Tomsk Bogashevo Airport. Spatial areas of potential aircraft icing were determined using the RAP algorithm and Godske formula. The equations for the reconstruction of profiles of relative humidity and dew point using data from AMIS-RF are given. Actual data on the aircraft icing for the Tomsk Bogashevo Airport on 11 October 2012 and 17 March 2013 are presented in this paper. The RAP algorithm and Godske formula show similar results for the location of spatial areas of potential icing. Though, the results obtained using the RAP algorithm are closer to the actual data on the icing known from aircraft crew reports

The assessment of the atmospheric air quality in Tomsk with the use of a mesoscale photochemical model

The paper presents the results of studying the influence of the development of meteorological situation in clear weather with a weak wind on the level of atmospheric surface air pollution in the city of Tomsk (Russia). Mesoscale meteorological and photochemical models with a new kinetic scheme were applied to the analysis. The main local weather conditions were identified, in which numerical calculations show increased values of the air pollution index. The numerical predictions have confirmed an increase in the ground-level concentration of pollutants in the presence of temperature inversion or isothermy

Sensitivity analysis of the physical parameterizations in the WRF model on the prediction accuracy of meteorological parameters

Computational experiments were carried out using the WRF model version 4.2. The influence of different sets of parameterizations on the results of calculating the surface values of air temperature, wind speed and direction is considered. A set of parameterizations providing the best accuracy of numerical prediction (with a resolution of 1 km) of local meteorological characteristics for the conditions of Western Siberia, is selected. It was found that the set of parameterizations affects the simulation quality, but it is not the main aspect in ensuring prediction accuracy. To test the WRF model, the observations obtained using meteorological instruments of the JUC Atmosphere of the V.E. Zuev Institution of Atmospheric Optics SB RAS, the airfield information and measurement system of the Tomsk Airport, and the Tomsk weather station were employed

Forecast of extreme weather conditions that promote aircraft icing during take-off or landing

This work presents the results of forecasting meteorological conditions that promote aircrafts icing in the atmospheric boundary layer; the forecasting results were obtained based on mesoscale meteorological model TSU-NM3. Godske formula which is based on the calculation of saturation temperature above ice, NCEP method, and statistical method of Hydrometeorological Centre of Russia were used as criteria of probability of aircraft icing during take-off or landing. Numeric forecast results were compared with physical observations made in the atmospheric boundary layer in October 2012 at the Tomsk airport. A good agreement obtained provided an opportunity to be certain about the above approach viability. © (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only

Numerical prediction of local meteorological processes above a city with a supercomputer

This paper presents a parallel algorithm for numerical solution of equations for the non-hydrostatic mesoscale meteorological model TSUNM3. To justify the choice of the Message Passing Interface technology, computational experiments were performed to compare the effectiveness of the following parallelizing technologies: MPI, OpenMP, OpenACC, and CUDA. 2D decomposition of the gridded domain for the TSUNM3 model has been carried out with MPI technology. It allows for a numerical forecast for the next day in 17 minutes of CPU time on 144 cores of the TSU Cyberia computing cluster

Analysis of observations and results of numerical modeling of meteorological parameters and atmospheric air pollution under weak wind conditions in the city of Tomsk

The results of calculation of meteorological parameters using a meteorological model, TSU-NM3, as well as prediction of some indices of atmospheric air pollution in the city of Tomsk obtained from a mesoscale photochemical model are presented. The calculation results are compared with observational data on the atmosphere and pollutants

Numerical simulation of extreme weather phenomena using highresolution mesoscale meteorological models

The results of the numerical prediction of dangerous weather phenomena (strong wind and fog) for the conditions of the city of Tomsk and the Tomsk district are considered. The numerical prediction is carried out with a resolution of 1 km using the WRF and TSUNM3 mesoscale meteorological models. The results of the calculations are compared with the observations obtained for selected dates in 2020 using the meteorological instruments of Research Equipment Sharing Center called “Atmosphere” of the Institute of Atmospheric Optics named after Zuev SB RAS and the airfield service of the Tomsk Airport

Opioids exacerbate inflammation in people with well-controlled HIV

IntroductionPeople with HIV (PWH) are known to have underlying inflammation and immune activation despite virologic control. Substance use including opioid dependence is common in this population and is associated with increased morbidity and reduced lifespan. The primary objective of the present study termed opioid immunity study (OPIS), was to investigate the impact of chronic opioids in PWH.MethodsThe study recruited people with and without HIV who had opioid use disorder (OUD). Study participants (n=221) were categorized into four groups: HIV+OP+, n=34; HIV-OP+, n=66; HIV+OP-, n=55 and HIV-OP-, n=62 as controls. PWH were virally suppressed on ART and those with OUD were followed in a syringe exchange program with confirmation of OP use by urine drug screening. A composite cytokine score was developed for 20 plasma cytokines that are linked to inflammation. Cellular markers of immune activation (IA), exhaustion, and senescence were determined in CD4 and CD8 T cells. Regression models were constructed to examine the relationships of HIV status and opioid use, controlling for other confounding factors.ResultsHIV+OP+ participants exhibited highest inflammatory cytokines and cellular IA, followed by HIV-OP+ for inflammation and HIV+OP- for IA. Inflammation was found to be driven more by opioid use than HIV positivity while IA was driven more by HIV than opioid use. In people with OUD, expression of CD38 on CD28-CD57+ senescent-like T cells was elevated and correlated positively with inflammation.DiscussionGiven the association of inflammation with a multitude of adverse health outcomes, our findings merit further investigations to understand the mechanistic pathways involved