{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T22:09:06Z","timestamp":1761948546442,"version":"build-2065373602"},"reference-count":42,"publisher":"MDPI AG","issue":"20","license":[{"start":{"date-parts":[[2019,10,12]],"date-time":"2019-10-12T00:00:00Z","timestamp":1570838400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004281","name":"Narodowe Centrum Nauki","doi-asserted-by":"publisher","award":["UMO-2016\/23\/B\/ST10\/01797"],"award-info":[{"award-number":["UMO-2016\/23\/B\/ST10\/01797"]}],"id":[{"id":"10.13039\/501100004281","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Based on the Weather Research and Forecasting model with Chemistry (WRF-Chem) model and Gridpoint Statistical Interpolation (GSI) assimilation tool, a forecasting system was used for two selected episodes (winter and summer) over Eastern Europe. During the winter episode, very high particular matter (PM2.5, diameter less than 2.5 \u00b5m) concentrations, related to low air temperatures and increased emission from residential heating, were measured at many stations in Poland. During the summer episode, elevated aerosol optical depth (AOD), likely related to the transport of pollution from biomass fires, was observed in Southern Poland. Our aim is to verify if there is a relevant positive impact of surface and satellite data assimilation (DA) on modeled PM2.5 concentrations, and to assess whether there are significant differences in the DA\u2019s impact on concentrations between the two seasons. The results show a significant difference in the impact of surface and satellite DA on the model results between the summer and winter episode, which to a large degree is related to the availability of the satellite data. For example, the application of satellite DA raises the factor of two statistic from 0.18 to 0.78 for the summer episode, whereas this statistic remains unchanged (0.71) for the winter. The study suggests that severe winter air pollution episodes in Poland and Eastern Europe in general, often related to the dense cover of low clouds, will benefit from the assimilation of surface observations rather than satellite data, which can be very sparse in such meteorological situations. In contrast, the assimilation of satellite data can have a greater positive impact on the model results during summer than the assimilation of surface data for the same period.<\/jats:p>","DOI":"10.3390\/rs11202364","type":"journal-article","created":{"date-parts":[[2019,10,14]],"date-time":"2019-10-14T03:54:13Z","timestamp":1571025253000},"page":"2364","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["Can Data Assimilation of Surface PM2.5 and Satellite AOD Improve WRF-Chem Forecasting? A Case Study for Two Scenarios of Particulate Air Pollution Episodes in Poland"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2412-959X","authenticated-orcid":false,"given":"Ma\u0142gorzata","family":"Werner","sequence":"first","affiliation":[{"name":"Department of Climatology and Atmosphere Protection, University of Wroclaw, ul. Kosiby 8, 51-621 Wroclaw, Poland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0873-7560","authenticated-orcid":false,"given":"Maciej","family":"Kryza","sequence":"additional","affiliation":[{"name":"Department of Climatology and Atmosphere Protection, University of Wroclaw, ul. Kosiby 8, 51-621 Wroclaw, Poland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9425-1991","authenticated-orcid":false,"given":"Jakub","family":"Guzikowski","sequence":"additional","affiliation":[{"name":"Department of Climatology and Atmosphere Protection, University of Wroclaw, ul. Kosiby 8, 51-621 Wroclaw, Poland"}]}],"member":"1968","published-online":{"date-parts":[[2019,10,12]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2777","DOI":"10.5194\/gmd-8-2777-2015","article-title":"A regional air quality forecasting system over Europe: The MACC-II daily ensemble production","volume":"8","author":"Peuch","year":"2015","journal-title":"Geosci. Model Dev."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1016\/j.atmosenv.2013.11.027","article-title":"Improvement of air quality forecasts with satellite and ground based particulate matter observations","volume":"84","author":"Hirtl","year":"2014","journal-title":"Atmos. Environ."},{"key":"ref_3","first-page":"1091","article-title":"Analysis of variability in PM10 concentration in the Wroclaw agglomeration","volume":"22","author":"Krynicka","year":"2013","journal-title":"Pol. J. Environ. Stud."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"517","DOI":"10.1007\/s11869-015-0358-z","article-title":"Explaining the high PM10 concentrations observed in Polish urban areas","volume":"9","author":"Reizer","year":"2016","journal-title":"Air Qual. Atmos. Health"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"376","DOI":"10.1056\/NEJMsa0805646","article-title":"Fine-particulate air pollution and life expectancy in the United States","volume":"360","author":"Pope","year":"2009","journal-title":"N. Engl. J. Med."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"362","DOI":"10.1016\/j.envpol.2007.06.012","article-title":"Human health effects of air pollution","volume":"151","author":"Kampa","year":"2008","journal-title":"Environ. Pollut."},{"key":"ref_7","first-page":"95","article-title":"Urban Air Pollution and Climate Change as Environmental Risk Factors of Respiratory Urban Air Pollution and Climate Change as Environmental Risk Factors of Respiratory Allergy: An Update Environmental Risk Factors of Respiratory Allergy: An Update","volume":"20","author":"Amato","year":"2010","journal-title":"J. Investig. Allergol. Clin. Immunol."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1526","DOI":"10.4209\/aaqr.2018.10.0365","article-title":"Biological and Chemical Air Pollutants in an Urban Area of Central Europe: Co-exposure Assessment","volume":"19","author":"Grewling","year":"2019","journal-title":"Aerosol Air Qual. Res."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1089","DOI":"10.1016\/j.rmed.2015.05.017","article-title":"Allergy and asthma: Effects of the exposure to particulate matter and biological allergens","volume":"109","author":"Baldacci","year":"2015","journal-title":"Respir. Med."},{"key":"ref_10","unstructured":"Huynen, M., Menne, B., Behrendt, H., Bertollini, R., Bonini, S., and Brandao, R. (2003). Phenology and Human Health: Allergic Disorders, Health and Global Environmental Change."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1498","DOI":"10.1111\/j.1398-9995.2009.02093.x","article-title":"GA(2)LEN skin test study I: GA(2)LEN harmonization of skin prick testing: Novel sensitization patterns for inhalant allergens in Europe","volume":"64","author":"Heinzerling","year":"2009","journal-title":"Allergy"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"4265","DOI":"10.5194\/acp-13-4265-2013","article-title":"A three-dimensional variational data assimilation system for multiple aerosol species with WRF\/Chem and an application to PM2.5 prediction","volume":"13","author":"Li","year":"2013","journal-title":"Atmos. Chem. Phys."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"2623","DOI":"10.5194\/gmd-9-2623-2016","article-title":"Background error covariance with balance constraints for aerosol species and applications in variational data assimilation","volume":"9","author":"Zang","year":"2016","journal-title":"Geosci. Model Dev."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"278","DOI":"10.1016\/j.atmosenv.2016.08.063","article-title":"Study on the influence of ground and satellite observations on the numerical air-quality for PM10 over Romanian territory","volume":"143","author":"Dumitrache","year":"2016","journal-title":"Atmos. Environ."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"6738","DOI":"10.1002\/jgrd.50495","article-title":"Probing into the impact of 3DVAR assimilation of surface PM10 observations over China using process analysis","volume":"118","author":"Jiang","year":"2013","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1029\/2011JD017383","article-title":"Simultaneous three-dimensional variational assimilation of surface fine particulate matter and MODIS aerosol optical depth","volume":"117","author":"Schwartz","year":"2012","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_17","first-page":"2483","article-title":"Implementation of aerosol assimilation in Gridpoint Statistical Interpolation v. 3.2 and WRF-Chem v. 4.3.1","volume":"7","author":"Pagowski","year":"2014","journal-title":"Geosci. Model Dev. Discuss."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1016\/j.atmosenv.2018.05.049","article-title":"Impact of 3DVAR assimilation of surface PM2.5observations on PM2.5forecasts over China during wintertime","volume":"187","author":"Feng","year":"2018","journal-title":"Atmos. Environ."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"5325","DOI":"10.5194\/acp-15-5325-2015","article-title":"Data assimilation in atmospheric chemistry models: Current status and future prospects for coupled chemistry meteorology models","volume":"15","author":"Bocquet","year":"2015","journal-title":"Atmos. Chem. Phys."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"897","DOI":"10.1175\/1520-0493(2004)132<0897:ATVDAS>2.0.CO;2","article-title":"A Three-Dimensional Variational Data Assimilation System for MM5: Implementation and Initial Results","volume":"132","author":"Barker","year":"2004","journal-title":"Mon. Weather Rev."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"271","DOI":"10.5194\/asr-14-271-2017","article-title":"Comparison between 3D-Var and 4D-Var data assimilation methods for the simulation of a heavy rainfall case in central Italy","volume":"145194","author":"Mazzarella","year":"2017","journal-title":"Adv. Sci. Res."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"178","DOI":"10.1016\/j.atmosenv.2018.12.016","article-title":"Assimilation of PM2.5 ground base observations to two chemical schemes in WRF-Chem\u2014The results for the winter and summer period","volume":"200","author":"Werner","year":"2019","journal-title":"Atmos. Environ."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Kryza, M., Werner, M., and Dore, A. (2019). Application of degree-day factors for residential emission estimate and air quality forecasting. Int. J. Environ. Pollut., in press.","DOI":"10.1504\/IJEP.2019.103748"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"016039","DOI":"10.1117\/1.JRS.11.016039","article-title":"Analysis of aerosol transport over southern Poland in August 2015 based on a synergy of remote sensing and backward trajectory techniques","volume":"11","author":"Szkop","year":"2017","journal-title":"J. Appl. Remote Sens."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"280","DOI":"10.1504\/IJEP.2015.077458","article-title":"Application of WRF-Chem to forecasting PM10 concentration over Poland","volume":"58","author":"Werner","year":"2015","journal-title":"Int. J. Environ. Pollut."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"569","DOI":"10.1175\/1520-0493(2001)129<0569:CAALSH>2.0.CO;2","article-title":"Coupling an Advanced Land Surface\u2013Hydrology Model with the Penn State\u2013NCAR MM5 Modeling System. Part I: Model Implementation and Sensitivity","volume":"129","author":"Chen","year":"2001","journal-title":"Mon. Weather Rev."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"2318","DOI":"10.1175\/MWR3199.1","article-title":"A New Vertical Diffusion Package with an Explicit Treatment of Entrainment Processes","volume":"134","author":"Hong","year":"2006","journal-title":"Mon. Weather Rev."},{"key":"ref_28","first-page":"D13103","article-title":"Radiative forcing by long-lived greenhouse gases: Calculations with the AER radiative transfer models","volume":"113","author":"Iacono","year":"2008","journal-title":"J. Geophys. Res."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"991","DOI":"10.1175\/2008MWR2556.1","article-title":"Impact of Cloud Microphysics on the Development of Trailing Stratiform Precipitation in a Simulated Squall Line: Comparison of One- and Two-Moment Schemes","volume":"137","author":"Morrison","year":"2009","journal-title":"Mon. Weather Rev."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"16343","DOI":"10.1029\/JD095iD10p16343","article-title":"The second generation regional acid deposition model chemical mechanism for regional air quality modeling","volume":"95","author":"Stockwell","year":"1990","journal-title":"J. Geophys. Res."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"461","DOI":"10.1175\/1520-0469(2002)059<0461:TAOTFT>2.0.CO;2","article-title":"Tropospheric Aerosol Optical Thickness from the GOCART Model and Comparisons with Satellite and Sun Photometer Measurements","volume":"59","author":"Chin","year":"2002","journal-title":"J. Atmos. Sci."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"10963","DOI":"10.5194\/acp-14-10963-2014","article-title":"TNO-MACC_II emission inventory; a multi-year (2003\u20132009) consistent high-resolution European emission inventory for air quality modelling","volume":"14","author":"Kuenen","year":"2014","journal-title":"Atmos. Chem. Phys."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"2013","DOI":"10.1002\/qj.700","article-title":"Three-dimensional variational data assimilation of ozone and fine particulate matter observations: Some results using the Weather Research and Forecasting-Chemistry model and Grid-point Statistical Interpolation","volume":"136","author":"Pagowski","year":"2010","journal-title":"Q. J. R. Meteorol. Soc."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"428","DOI":"10.1016\/j.atmosenv.2018.12.004","article-title":"MODIS Collection 6.1 aerosol optical depth products over land and ocean: Validation and comparison","volume":"201","author":"Wei","year":"2018","journal-title":"Atmos. Environ."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"7864","DOI":"10.1002\/jgrd.50600","article-title":"Validation and uncertainty estimates for MODIS Collection 6 \u201cdeep Blue\u201d aerosol data","volume":"118","author":"Sayer","year":"2013","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_36","unstructured":"(2019, January 15). Chief Inspectorate for Environmental Protection, Available online: http:\/\/powietrze.gios.gov.pl."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"1767","DOI":"10.5194\/gmd-10-1767-2017","article-title":"Spatiotemporal evaluation of EMEP4UK-WRF v4.3 atmospheric chemistry transport simulations of health-related metrics for NO2, O3, PM10, and PM2. 5 for 2001\u20132010","volume":"10","author":"Lin","year":"2017","journal-title":"Geosci. Model Dev."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"3045","DOI":"10.5194\/acp-12-3045-2012","article-title":"Evaluating WRF-Chem aerosol indirect effects in Southeast Pacific marine stratocumulus during VOCALS-REx","volume":"12","author":"Saide","year":"2012","journal-title":"Atmos. Chem. Phys."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"1597","DOI":"10.5194\/bg-9-1597-2012","article-title":"The influence of model grid resolution on estimation of national scale nitrogen deposition and exceedance of critical loads","volume":"9","author":"Dore","year":"2012","journal-title":"Biogeosciences"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"7355","DOI":"10.5194\/acp-11-7355-2011","article-title":"Aerosol modelling in Europe with a focus on Switzerland during summer and winter episodes","volume":"11","author":"Aksoyoglu","year":"2011","journal-title":"Atmos. Chem. Phys."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"6","DOI":"10.1016\/j.atmosres.2018.04.025","article-title":"High resolution application of the EMEP MSC-W model over Eastern Europe\u2014Analysis of the EMEP4PL results","volume":"212","author":"Werner","year":"2018","journal-title":"Atmos. Res."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1016\/j.partic.2014.10.008","article-title":"Modeling study of a severe aerosol pollution event in December 2013 over Shanghai China: An application of chemical data assimilation","volume":"20","author":"Wu","year":"2015","journal-title":"Particuology"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/20\/2364\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T13:25:31Z","timestamp":1760189131000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/20\/2364"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,10,12]]},"references-count":42,"journal-issue":{"issue":"20","published-online":{"date-parts":[[2019,10]]}},"alternative-id":["rs11202364"],"URL":"https:\/\/doi.org\/10.3390\/rs11202364","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2019,10,12]]}}}