How bias-correction can improve air quality forecasts over Portugal

Atmospheric Environment

Volumn 45, Issue 37, 2011, Pages 6629-6641

  Borrego, C ^a   Monteiro, A ^a   Pay, M T ^b   Ribeiro, I ^a   Miranda, A I ^a   Basart, S ^b   Baldasano, J M ^b,c  

^a UNIVERSITY OF AVEIRO   (Portugal)

^b BARCELONA SUPERCOMPUTING CENTER   (Spain)

^c UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

Author keywords

Air quality forecast; Bias correction; Kalman filter; Modelling systems; Multiplicative ratio

Indexed keywords

AIR QUALITY FORECASTS; AIR QUALITY MODELLING SYSTEM; AIR QUALITY SYSTEMS; ATMOSPHERIC POLLUTANTS; BIAS CORRECTION; COMPLEXITY LEVELS; CORRELATION COEFFICIENT; FORECAST ERRORS; FORECASTING PURPOSE; FORECASTING SYSTEM; HIGH RESOLUTION; HORIZONTAL RESOLUTION; MAINLAND PORTUGAL; MATHEMATICAL FORMULATION; MISSING DATA; MODEL RESULTS; MONITORING STATIONS; MULTIPLICATIVE RATIO; OBSERVATIONAL DATA; OFFLINE; OPERATIONAL FORECAST SYSTEM; PARAMETERIZATIONS; PARTICULATE MATTER; PORTUGAL; PRIMARY POLLUTANTS; SAHARAN DUST; SPATIAL DISAGGREGATION; SYSTEMATIC MODELS;

AIR QUALITY; KALMAN FILTERS; MATHEMATICAL TECHNIQUES; NITROGEN OXIDES; PARTICLES (PARTICULATE MATTER); POLLUTION; SULFUR DIOXIDE; SYSTEMATIC ERRORS;

FORECASTING;

NITROGEN DIOXIDE; OZONE; SULFUR DIOXIDE;

AIR QUALITY; ATMOSPHERIC MODELING; ATMOSPHERIC POLLUTION; DATA SET; DATABASE; DUST; EMISSION; ERROR ANALYSIS; FORECASTING METHOD; KALMAN FILTER; MATHEMATICAL ANALYSIS; NITROGEN DIOXIDE; OBSERVATIONAL METHOD; OZONE; PHYSICOCHEMICAL PROPERTY; POLLUTANT; RESOLUTION; STATISTICAL ANALYSIS; SULFUR DIOXIDE;

ACCURACY; AIR ANALYSIS; AIR MONITORING; AIR POLLUTANT; AIR QUALITY; AIR QUALITY CONTROL; ARTICLE; CONCENTRATION (PARAMETERS); CONTROLLED STUDY; FORECASTING; HUMAN; MATHEMATICAL ANALYSIS; PARTICULATE MATTER; PORTUGAL; PRIORITY JOURNAL; PROCESS MODEL; SEASONAL VARIATION;

PORTUGAL;

EID: 80053895748     PISSN: 13522310     EISSN: 18732844     Source Type: Journal    
DOI: 10.1016/j.atmosenv.2011.09.006     Document Type: Article

References (59)

1. Autoridade Florestal Nacional Relatório provisório de incêndios florestais 2010, Technical Report RP9/2010. Lisboa, Portugal. 15 pp. Available at:. http://www.afn.min-agricultura.pt/portal/dudf/relatorios/resource/ficheiros/2010/20100815_AFN_RP6.pdf.
2. Baldasano J.M., Jiménez-Guerrero P., Jorba O., Pérez C., López E., Güereca P., Martin F., García-Vivanco M., Palomino I., Querol X., Pandolfi M., Sanz M.J., Diéguez J.J. CALIOPE: an operational air quality forecasting system for the Iberian Peninsula, Balearic Islands and Canary Islands - first annual evaluation and ongoing developments. Adv. Sci. Res. 2008, 2:89-98.
3. Baldasano J.M., Güereca L.P., López E., Gassó S., Jimenez-Guerrero P. Development of a high-resolution emission model for Spain: the High-Elective Resolution Modelling Emission System (HERMES). Atmos. Environ. 2008, 42(31):7215-7233.
4. Baldasano J.M., Pay M.T., Jorba O., Ortiz J., Gonçalves M., Basar T.S., Gassó S., Jiménez-Guerrero P. Evaluation of the Spanish operational air quality forecasting system: diagnostic and near real time. International Workshop on Air Quality Forecasting Research. Québec, Canada, 16-18, November 2010.
5. Baldasano J.M., Pay M.T., Jorba O., Gassó S., Jiménez-Guerrero P. An annual assessment of air quality with the CALIOPE modeling system over Spain. Sci. Total Environ. 2011, 409:2163-2178. 10.1016/j.scitotenv.2011.01.041.
6. Basart S., Pérez C., Cuevas E., Baldasano J.M., Gobbi P. Aerosol characterization in Northern Africa, Northeastern Atlantic, Mediterranean basin and Middle East from direct-sun AERONET observations. Atmos. Chem. Phys. 2009, 9:8265-8282.
7. Bessagnet B., Hodzic A., Vautard R., Beekmann M., Cheinet S., Honoré C., Liousse C., Rouïl L. Aerosol modeling with CHIMERE-preliminary evaluation at the continental scale. Atmos. Environ. 2004, 38:2803-2817.
8. Bessagnet B., Hodzic A., Blanchard O., Lattuati M., Le Bihan O., Marfaing H., Rouil L. Origin of particulate matter pollution episodes in wintertime over the Paris Basin. Atmos. Environ. 2005, 39:6159-6174.
9. Borrego C., Schatzmann M., Galmarini S. Quality assurance of air pollution models. SATURN - Studying Air Pollution in Urban Areas - EUROTRAC-2 Subproject Final Report 2003, 155-183. Springer Verlag, Heidelberg, Germany, (Chapter 7). N. Moussiopoulos (Ed.).
10. Borrego C., Monteiro A., Ferreira J., Miranda A.I., Costa A.M., Carvalho A.C., Lopes M. Procedures for estimation of modelling uncertainty in air quality assessment. Environ. Int. 2008, 34:613-620.
11. Carvalho A., Monteiro A., Ribeiro I., Tchepel O., Miranda A.I., Borrego C., Saavedra S., Souto J.A., Casares J.J. High ozone levels in the Northeast of Portugal: analysis and characterization. Atmos. Environ. 2010, 44(8):1020-1031. 10.1016/j.atmosenv.2009.12.020.
12. Cuvelier C., Thunis P., Vautard R., Amann M., Bessagnet B., Bedogni M., et al. CityDelta: a model intercomparison study to explore the impact of emission reductions in European cities in 2010. Atmos. Environ. 2007, 41:189-207.
13. Chang J.C., Hanna S.R. Air quality model performance evaluation. Meteorol. Atmos. Phys. 2004, 87:167-196.
14. Delle Monache L., Nipen T., Deng X., Zhou Y., Stull R. Ozone ensemble forecasts: 2. A Kalman filter predictor bias correction. J. Geosphys. Res. 2006, 111(D05308). 10.1029/2005JD006311.
15. Delle Monache L., Wilczak J., McKeen S., Grell G., Pagowski M., Peckham S., Stull R., McHenry J., McQueen J. A Kalman-filter bias correction method applied to deterministic, ensemble averaged, and probabilistic forecast of surface ozone. Tellus Ser. B 2008, 60:238-249. 10.1111/j.1600-0889.2007.00332.x.
16. Denby B., Larssen S., Guerreiro C., Li L., Douros J., Moussiopoulos N., et al. Guidance on the use of models for the European air quality directive. A Working Document of the Forum for Air Quality Modelling in Europe. FAIRMODE 2010, Technical Report Version 4.2ETC/ACC. B. Denby (Ed.).
17. Dennis R., Fox T., Fuentes M., Gilliland A., Hanna S., Hogrofe C., Irwin J., Trivikrama R., Scheffe R., Schere K., Steyn D., Venkatram A. A framework for evaluating regional-scale numerical photochemical modeling systems. Environ. Fluid Mech. 2010, 10.1007/s10652-009-9163-2.
18. Djalalova I., Wilczak J., McKeen S., Grell G., Peckhama S., Pagowski M., DelleMonache L., McQueen J., Tang Y., Leeg P., McHenry J., Gong W., Bouchet V., Mathur R. Ensemble and bias-correction techniques for air quality model forecasts of surface O3 and PM2.5 during the TEXAQS-II experiment of 2006. Atmos. Environ. 2010, 44:455-467.
19. Dudhia J. A nonhydrostatic version of the PennState/NCAR mesoscale model: validation tests and simulation of an Atlantic cyclone and cold front. Mon. Weather Rev. 1993, 121:1493-1513.
20. Eder B., Kang D., Mathur R., Yu S., Schere K. An operational evaluation of the Eta-CMAQ air quality forecast model. Atmos. Environ. 2006, 40:4894-4905. 10.1016/j.atmosenv.2005.12.062.
21. Elbern H., Strunk A., Schmidt H., Talagrand O. Emission rate and chemical state estimation by 4-dimensional variational inversion. Atmos. Chem. Phys. 2007, 7:3749-3769.
22. European Commission Directive 2008/50/EC of the European Parliament and of the Council of 21 May 2008 on ambient air quality and cleaner air for Europe. Off. J. Eur. Comm. 2008, Technical Report 2008/50/EC, L152.
23. EEA The European Environment. State and Outlook 2010. Air Pollution 2010, Publication Office of the European Union, Luxembourg, 46 pp. 10.2800/57792.
24. Garber W., Colosio J., Grittner S., Larssen S., Rasse D., Schneider J., et al. Guidance on the Annexes to Decision 97/101/EC on Exchange of Information as Revised by Decision 2001/752/EC 2002, Technical Report. European Commission, DG Environment; 2002.
25. Geiger H., Barnes I., Bejan I., Benter T., Spittler M. The tropospheric degradation of isoprene: an updated module for the regional atmospheric chemistry mechanism. Atmos. Environ. 2003, 37:1503-1519.
26. Gery M.W., Whitten G.Z., Killus J.P., Dodge M.C. A photochemical kinetics mechanism for urban and regional scale computer modeling. J. Geophys. Res. 1989, 94(D10):12925-12956.
27. Guenther A.B., Hewitt C.N., Erickson D., Fall R., Geron C., Graedel T., et al. A global model of natural volatile organic compound emissions. J. Geophys. Res. 1995, 100:8873-8892.
28. Janjic Z.I. The step-mountain ETA coordinate model: further developments of the convection, viscous sublayer and turbulence closure schemes. Mon. Weather Rev. 1994, 122:927-945.
29. Jiménez-Guerrero P., Pérez C., Jorba O., Baldasano J.M. Contribution of Saharan dust in an integrated air quality system and its on-line assessment. Geophys. Res. Lett. 2008, 35:L03814. 10.1029/2007GL031580.
30. Kang D., Eder B.K., Stein A.F., Grell G.A., Peckham S.E., McHenry J. The new England air quality forecasting pilot program: development of an evaluation protocol and performance benchmark. J. Air Waste Mange. Assoc. 2005, 55:1782-1796.
31. Kang D., Mathur R., Rao S.T., Yu S. Bias adjustment techniques for improving ozone air quality forecasts. J. Geophys. Res. 2008, 113(D23308). 10.1029/2008JD010151.
32. Kang D., Mathur R., Rao S.T. Assessment of bias-adjusted PM2.5 air quality forecasts over the continental United States during 2007. Geosci. Model Dev. 2010, 3:309-320. 10.5194/fmd-3-309-2010.
33. McKeen S., Wilczak J., Grell G., Djalalova I., Peckham S., Hsie E.-Y., Gong W., Bouchet V., Menard S., Moffet R., McHenry J., McQueen J., Tang Y., Carmichael G.R., Pagowski M., Chan A., Dye T., Frost G., Lee P., Mathur R. Assessment of an ensemble of seven real-time ozone forecasts over eastern North America during the summer of 2004. J. Geophys. Res. 2005, 110:D21307. 10.1029/2005JD005858.
34. Menut L., Bessagnet B. Atmospheric composition forecasting in Europe. Ann. Geophys. 2010, 28:61-74.
35. Michalakes J., Dudhia J., Gill D., Henderson T., Klemp J., Skamarock W., Wang W. The weather research and forecast model: software architecture and performance. To Appear in Proceeding of the Eleventh ECMWF Workshop on the Use of High Performance Computing in Meteorology, 25-29 October 2004, Reading, U.K 2004, 117-124. E.G. Mozdzynski (Ed.).
36. Monteiro A., Vautard R., Lopes M., Miranda A.I., Borrego C. Air pollution forecast in Portugal: a demand from the new air quality framework directive. Int. J. Environ. Pollut. 2005, 25(No 2):4-15.
37. Monteiro A., Miranda A.I., Borrego C., Vautard R. Air quality assessment for Portugal. Sci. Total Environ. 2007, 373:22-31.
38. Monteiro A., Borrego C., Miranda A.I., Gois V., Torres P., Perez A.T. Can air quality modelling improve emission inventories?. Proceedings of the 6th International Conference on Urban Air Quality, 26-30 March, Limassol, Cyprus 2007, 13-14.
39. Monteiro, A., Ribeiro, I., Techepel, O., Sá, E., Ferreira, J., Carvalho, A., Martins, V., Strunk, A., Galmarini, S., Elbern, H., Schaap, M., Builtjes, P., Miranda, A.I., Borrego, C. Bias correction techniques to improve air quality ensemble prediction: focus on O3 and PM over Portugal. Environ. Modell. Assess., under revision.
40. Nickovic S., Kallos G., Papadopoulos A., Kakaliagou O. Model for prediction of desert dust cycle in the atmosphere. J. Geophys. Res. 2001, 106(D16):18113-18129. 10.1029/2000JD900794.
41. Pagowski M., Grell G.A., Devenyi D., Peckham S., McKeen S.A., Gong W., Delle Monache L., McHenry J.N., McQueen J., Lee P. Application of dynamic linear regression to improve the skill of ensemble-based deterministic ozone forecasts. Atmos. Environ. 2006, 40:3240-3250. 10.1016/j.atmosenv.2006.02.006.
42. Parra R., Gassó S., Baldasano J.M. Estimating the biogenic emissions of non-methane volatile organic compounds from the North western Mediterranean vegetation of Catalonia, Spain. Sci. Total Environ. 2004, 329:241-259.
43. Pay M.T., Piot M., Jorba O., Gassó S., Gonçalves M., Basart S., Dabdub D., Jiménez-Guerrero P., Baldasano J.M. A full year evaluation of the CALIOPE-EU air quality modeling system over Europe for 2004. Atmos. Environ. 2010, 44:3322-3342.
44. Pérez C., Nickovic S., Baldasano J.M., Sicard M., Rocadenbosch F., Cachorro V.E. A long Saharan dust event over the western Mediterranean: Lidar, sun photometer observations, and regional dust modeling. J. Geophys. Res. 2006, 111(D15214):1-16. 10.1029/2005JD006579.
45. Pérez C., Nickovic S., Pejanovic G., Baldasano J.M., Ozsoy E. Interactive dust-radiation modeling: a step to improve weather forecast. J. Geophys. Res. 2006, 111(D16206). 10.1029/2005JD006717.
46. Rodríguez S., Querol X., Alastuey A., Kallos C., Kakaliagou O. Saharan dust contribution to PM10 and TSP levels in Southern and Eastern Spain. Atmos. Environ. 2001, 35:2433-2447.
47. Schell B., Ackermann I.J., Hass H., Binkowski F.S., Ebel A. Modeling the formation of secondary organic aerosol within a comprehensive air quality model system. J. Geophys. Res. 2001, 106(D22):28275-28293. 10.1029/ 2001JD000384.
48. Sicardi V., Ortiz J., Rincón A., Jorba O., Pay M.T., Gassó S., Baldasano J.M. Ground-level ozone concentration over Spain: an application of Kalman Filter post-processing to reduce model uncertainties. Geosci. Model. Dev. Discuss. 2011, 4:343-384.
49. Silva A., Costa M., Elias T., Formenti P., Belo N., Pereira S. Ground-based aerosol monitoring at Évora, Portugal. Glob. Change NewsLetter 2003, 56(December).
50. Simpson D., Winiwarter W., Börjesson G., Cinderby S., Ferreiro A., Guenther A., Hewitt C., Janson R., Khalil M., Owen S., Pierce T., Puxbaum H., Shearer M., Skiba U., Steinbrecher R., Tarrason L., Öquist M. Inventorying emissions from nature in Europe. J. Geophys. Res. 1999, 104(D7):8113-8152.
51. Stern R., Builtjes P., Schaap M., Timmermans R., Vautard R., Hodzinc A., et al. A model inter-comparison study focussing on episodes with elevated PM10 concentration. Atmos. Environ. 2008, 42:4567-4588.
52. Strunk A., Ebel A., Elbern H., Friese E., Goris N., Nieradzik L.P. Four-dimensional variational assimilation of atmospheric chemical data - application to regional modelling of air quality. Lecture Notes in Computer Science (LNCS) 2010, vol. 5910:222-229. Springer.
53. Stull R.B. An Introduction to Boundary-layer Meteorology 1988, Kluwer, 666 pp.
54. Taylor K.E. Summarizing multiple aspects of model performance in a single diagram. J. Geophys. Res. 2001, 106(D7):7183-7192.
55. Tchepel O., Borrego C. Frequency analysis of air quality time series for traffic related pollutants. J. Environ. Monitor 2010, 12:544-550. 10.1039/b913797a.
56. Tilmes S., Brandt J., Flatoy F., Bergrstrom R., Flemming J., Langner J., Christensen J.H., Frohn L.M., Hov O., Jacobsen I., Reimer E., Stern R., Zimmermann J. Comparison of five Eulerian air pollution forecasting systems for the summer of 1999 using the German ozone monitoring data. J. Atmos. Chem. 2002, 42:91-121.
57. van Loon M., Vautard R., Schaap M., Bergström R., Bessagnet B., Brandt J., Builtjs P., Christensen J., Cuvelier C., Graff A., Jonson J., Krol M., Langner J., Roberts P., Rouil L., Stern R., Tarrasón L., Thunis P., Vignati E., White L., Winda P. Evaluation of long-term ozone simulations from seven regional air quality models and their ensemble. Atmos. Environ. 2007, 41(10):2083-2097.
58. Vautard R., Bessagnet B., Chin M., Menut L. On the contribution of natural Aeolian sources to particulate matter concentrations in Europe: testing hypotheses with a modelling approach. Atmos. Environ. 2005, 39:3291-3303.
59. Wilczak J., McKeen S.A., Djalalova I., et al. Bias-corrected ensemble and probabilistic forecasts of surface ozone over eastern North America during the summer of 2004. J. Geophys. Res. 2006, 111(D23S28). 10.1029/2006JD007598.