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Tellus B: Chemical and Physical Meteorology Volume 60, 2008 - Issue 2
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Original Articles

A Kalman-filter bias correction method applied to deterministic, ensemble averaged and probabilistic forecasts of surface ozone

Luca Delle MonacheAtmospheric Science Programme, Earth and Ocean Sciences Department, University of British Columbia, Vancouver, British Columbia, Canada;;Now at Lawrence Livermore National Laboratory, Livermore, CA, USA;Correspondence[email protected]
,
James WilczakPhysical Sciences Division, Earth System Research Laboratory, National Oceanic and Atmospheric Administration, Boulder, CO, USA;
,
Stuart MckeenCooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, CO, USA;;Chemical Sciences Division, Earth System Research Laboratory, National Oceanic and Atmospheric Administration, Boulder, CO, USA;
,
Georg GrellCooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, CO, USA;;Global Systems Division, Earth System Research Laboratory, National Oceanic and Atmospheric Administration, Boulder, CO, USA;
,
Mariusz PagowskiGlobal Systems Division, Earth System Research Laboratory, National Oceanic and Atmospheric Administration, Boulder, CO, USA;;Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, CO, USA;
,
Steven PeckhamCooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, CO, USA;;Global Systems Division, Earth System Research Laboratory, National Oceanic and Atmospheric Administration, Boulder, CO, USA;
,
Roland StullAtmospheric Science Programme, Earth and Ocean Sciences Department, University of British Columbia, Vancouver, British Columbia, Canada;
,
John MchenryBaron Advanced Meteorological Systems, c/o North Carolina State University, Raleigh, NC, USA;
&
Jeffrey McqueenNational Weather Service/ National Centers for Environmental Prediction/National Oceanic and Atmospheric Administration, Camp Springs, MD, USA
 show all
Pages 238-249 | Received 26 Jun 2007, Accepted 12 Nov 2007, Published online: 18 Jan 2017

Reference

  • Atkinson, R., Baulch, D. L., Cox, R. A., Hampson, R. F., Kerr, J. A. and co-authors. 1992. Evaluated kinetic and photochemical data for atmospheric chemistry: supplement IV. Atmos Environ. 26A, 1187-1230.
  • Binkowski, F. S. and Shanlcar, U. 1995. The regional particulate model. I. Model description and preliminary results. J. Geophys. Res. 100(D12), 26191–26209.
  • Bozic, S. M. 1994. Digital and Kalman Filtering 2nd Edition.Butterworth-Heinemann, New York, 160 pp.
  • Byun, D. W. and Schere, K. L. 2006. Description of the Models-3 Community Multiscale Air Quality (CMAQ) Model: system overview, governing equations, and science algorithms. AppL Mech. Rev. 59,51–77.
  • Carmichael, G. R., Tang, Y., Kurata, G., Uno, I., Streets, D. and co-authors. 2003. Regional-scale chemical transport modeling in support of the analysis of observations obtained during the TRACE-P experiment. J. Geophys. Res. 108(D21), 8823, 10.1029/2002JDO03117.
  • Carter, W. 2000. Documentation of the SAPRC-99 chemical mechanism for VOC reactivity assessment. Final Report to California Air Resources Board Contract No. 92-329, University of California, Riverside.
  • Cote, J., Gravel, S., Methot, A., Patoine, A., Roch, M. and co-authors. 1998a. The operational CMC-MRB Global Environmental Multiscale (GEM) model. Part I: design considerations and formulation. Mon. Wea. Rev. 126, 1373-1395.
  • Cote, J., Desmarais, J.-G., Gravel, S., Methot, A., Patoine, A. and co-authors. 1998b. The operational CMC/MRB Global Environmental Multiscale (GEM) model. Part II: results. Mon. Wea. Rev. 126, 1397-1418.
  • Delle Monache, L. and Stull, R. B. 2003. An ensemble air quality forecast over western Europe during an ozone episode. Atmos. Environ. 37, 3469–3474.
  • Delle Monache, L., Deng, X., Zhou, Y. and Stull, R. B. 2006a. Ozone ensemble forecasts: 1. A new ensemble design. J. Geophys. Res. 111, D05307, 10.1029/2005JD006310.
  • Delle Monache, L., Nipen, T., Deng, X., Thou, Y. and Stull, R. B. 2006b. Ozone ensemble forecasts: 2. A Kalman-filter predictor bias correction. J. Geophys. Res. 111, D05308, 10.1029/2005JDO06311.
  • Delle Monache, L., Hacker, J. P., Thou, Y., Deng, X. and Stull, R. B. 2006c. Probabilistic aspects of meteorological and ozone regional ensemble forecasts. J. Geophys. Res. 111, D24307, 10.1029/2005JD006917.
  • Gery, M. W., Whitten, G., Killus, J. and Dodge, M. 1989. A photochemical kinetics mechanism for urban and regional scale computer models. J. Geophys. Res. 94, 12295–12356.
  • Grell, G. A., Dudhia, J. and Stauffer, D. R. 1994. A description of the fifth-generation Penn State/NCAR Mesoscale Model (MM5). NCAR Tech. Note, NCARTIN-398±STR, 122 p.
  • Grell, G. A., Peckham, S. E., Schmitz, R., McKeen, S. A., Frost, G. and co-authors. 2005. Fully coupled “online” chemistry within the WRF model. Atmos. Environ. 39, 6957-6975.
  • Hamill, T. and Colucci, S. J. 1997. Verification of Eta-RSM short-range ensemble forecasts. Mon. Wea. Rev. 125, 1312–1327.
  • Hamill, T. M. and Snyder, C. 2000. A hybrid ensemble Kalman filter-3D variational analysis scheme. Mon. Wea. Rev. 128, 2905–2919.
  • Homleid, M. 1995. Diurnal corrections of short-term surface temperature forecasts using Kalman filter. Wea. Forecast. 10, 989–707.
  • Jolliffe, I. T. and Stephenson, D. B. 2003. Forecast Verification: A Practitioner's Guide in Atmospheric Science (eds. I. I. Jolliffe and D. B. Stephenson), Wiley and Sons, 240 p.
  • Lurman, F. W., Lloyd, A. C. and Atkinson, R. 1986. A chemical mechanism for use in long-range transport/acid deposition computer modeling. J. Geophys. Res. 91, 10905–10936.
  • Mallet, V. and Sportisse, B. 2006. Ensemble-based air quality fore-casts: A multimodel approach applied to ozone. J. Geophys. Res. 111, D18302.
  • Mason, I. 1982. A model for assessment of weather forecasts. AusL Meteor Mag. 30, 291–303.
  • McHenry, J. N., Ryan, W. F., Seaman, N. L., Coats, C. J., Jr. Pudylciewicz, J. and co-authors. 2004. A real-time Eulerian photochemical model forecast system. Bull. Amer Meteor. Soc. 85, 525–548.
  • McKeen, S. A., Wilczak, J. M., Grell, G. A., Djalalova, I., Peckham, S. and co-authors. 2005. Assessment of an ensemble of seven real-time ozone forecasts over Eastern North America during the summer of 2004. J. Geophys. Res. 110, D21307, 10.1029/2005JD005858.
  • McQueen, J. and co-authors. 2004. Development and evaluation of the NOAA/EPA prototype air quality model prediction system. In: Preprints, 20th Conference on Weather Analysis and Forecasting/16th Conference on Numerical Weather Prediction, 12-15 January 2004, Seattle, Washington, USA.
  • Moran, M. D., Scholtz, M. T., Slama, C. F., Dorlcalam, A., Taylor, A. and co-authors. 1997. An overview of CEPS1.0: version 1.0 of the Canadian Emissions Processing System for regional-scale air quality models. In: Proceedings of 7th AWMA Emission Inventory Symposium, 28-30 October 1997, Research Triangle Park, North Carolina, USA.
  • Pagowski, M., Grell, G. A., McKeen, S. A., Devenyi, D., Wilczak, J. M. and co-authors. 2005. A simple method to improve ensemble-based ozone forecasts. Geophys. Res. Lett. 32, L07814, 10.1029/2004GL022305.
  • Pagowski, M., Grell, G. A., Devenyi, D., Peckham, S. E., McKeen, S. A. and co-authors. 2006. Application of dynamic linear regression to improve skill of ensemble-based deterministic ozone forecasts. Atmos. Environ. 40, 3240-3250.
  • Pudykiewicz, J., Kallaur, A. and Smolarlciewicz, P. K. 1997. Semi-Lagrangian modeling of tropospheric ozone. Tellus 49B, 231–258.
  • Roeger, C., Stull, R. B., McClung, D., Hacker, J., Deng, X. and co-authors. 2003. Verification of mesoscale numerical weather forecast in mountainous terrain for application to avalanche prediction. Wea. Forecast. 18, 1140-1160.
  • Russell, A. and Dennis, R. 2000. NARSTO critical review of photochemical models and modeling. Atmos. Environ. 34, 2283–2324.
  • Stockwell, W. R., Middleton, R, Chang, J. S. and Tang, X. 1995. The effect of acetyl peroxypperoxy radical reactions on peroxyacetyl nitrate and ozone concentrations. Atmos. Environ. 29, 1591–1599.
  • Talagrand, O. and Vautard, R. 1997. Evaluation of probalistic prediction systems, Proceedings ECMWF Workshop on Predictability, ECMWF, Reading, UK, 1–25.
  • Thunis, P. and co-authors. 2007. Analysis of model responses to emission-reduction scenarios with in the City Delta project. Atmos. Environ. 41, 208–220.
  • U.S. Environmental Protection Agency. 1991. Guideline for Regulatory Application Of The Urban Airshed Model. USEPA Rep., EPA-45014-91-013, Research Triangle Park, North Carolina, USA.
  • van Loon, M., Builtjes, P. J. H. and Segers, A. J. 2000. Data assimilation applied to LOTOS: first experiences. Environ. Model. Software 15, 603–609.
  • van Loon, M. and co-authors. 2007. Evaluation of long-term ozone simulations from seven regional air quality models and their ensemble. Atmos. Environ. 41, 2083-2097.
  • Wilczak, J. M., McKeen, S. A., Djalalova, I. and Grell, G. 2006. Bias-corrected ensemble predictions of surface 03. J. Geophys. Res. 111, D23528, 10.1029/2006JD007598.
  • Wilks, D. S. 1995. Statistical Methods in the Atmospheric Sciences (eds. R. Dmowslca and J. R.Holton). Academic Press, 467 pp.
  • Willmott, C. J. 1981. On the validation of models. Phys. Geogr 2, 184–194.

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