Development of a new Canadian operational air quality forecast model

被引:9
|
作者
Talbot, D. [1 ]
Moran, M. D. [2 ]
Bouchet, V. [1 ]
Crevier, L. -P. [1 ]
Menard, S. [1 ]
Kallaur, A. [2 ]
机构
[1] Environm Canada, 2121 Route Transcanadienne, Montreal, PQ H9P 1J3, Canada
[2] Environm Canada, Toronto, ON M3H ST4, Canada
来源
AIR POLLUTION MODELING AND ITS APPLICATION XIX | 2008年
关键词
CHRONOS; forecast model; model evaluation;
D O I
10.1007/978-1-4020-8453-9_52
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Development and implementation of the next generation of Canada's operational air quality (AQ) forecast model is underway at Environment Canada (EC). The goal of this project is the replacement in 2008 of the current operational off-line AQ forecast model, CHRONOS, by GEM-MACH, an on-line chemical transport model. To construct GEM-MACH, chemistry modules have been implemented directly inside GEM, EC's operational multi-scale meteorological forecast model. This new on-line AQ forecast model will be able to exploit EC's massively parallel supercomputer via the parallelism options already implemented in GEM. Physical and chemical processes related to AQ are solved on GEM's "native" grid, thus avoiding the spatial and temporal interpolations of the meteo-rological fields that are required by CHRONOS.
引用
收藏
页码:470 / +
页数:5
相关论文
共 50 条
  • [21] CONCRETE OPERATIONAL DEVELOPMENT IN CANADIAN ESKIMOS
    DASEN, PR
    INTERNATIONAL JOURNAL OF PSYCHOLOGY, 1975, 10 (03) : 165 - 180
  • [22] Bidirectional LSTM for Air Quality Forecast
    Olaifa, Moses
    Zuva, Tranos
    INTELLIGENT SYSTEMS AND APPLICATIONS, VOL 3, INTELLISYS 2024, 2024, 1067 : 487 - 497
  • [23] A Temporal Approach for Air Quality Forecast
    Lu, Eric Hsueh-Chan
    Liu, Chia-Yu
    INTELLIGENT INFORMATION AND DATABASE SYSTEMS, ACIIDS 2019, PT II, 2019, 11432 : 144 - 151
  • [24] Operational air pollution forecast modelling using the THOR system
    Brandt, J
    Christensen, JH
    Frohn, LM
    Zlatev, Z
    PHYSICS AND CHEMISTRY OF THE EARTH PART B-HYDROLOGY OCEANS AND ATMOSPHERE, 2001, 26 (02): : 117 - 122
  • [25] Model Development and Hindcast Simulations of NOAA's Gulf of Maine Operational Forecast System
    Yang, Zizang
    Richardson, Philip
    Chen, Yi
    Kelley, John G. W.
    Myers, Edward
    Aikman, Frank, III
    Peng, Machuan
    Zhang, Aijun
    JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2016, 4 (04):
  • [26] Development of a Model Output Statistic and implementation of an operational solar photovoltaic energy forecast model based in WRF
    Porrini, Claudio
    Gutierrez, Alejandro
    Boezio, Gabriel Cazes
    Hermida, Gonzalo
    Orono, Diego
    Puppo, Martin
    2015 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES LATIN AMERICA (ISGT LATAM), 2015, : 248 - 253
  • [27] AirQFormer: Improving regional air quality forecast with a hybrid deep learning model
    Hu, Mingyun
    Lu, Xingcheng
    Chen, Yiang
    Li, Zhenning
    Wang, Yueya
    Fung, Jimmy C. H.
    SUSTAINABLE CITIES AND SOCIETY, 2025, 119
  • [28] Operational bias correction for PM2.5 using the AIRPACT air quality forecast system in the Pacific Northwest
    June, Nicole
    Vaughan, Joseph
    Lee, Yunha
    Lamb, Brian K.
    JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION, 2021, 71 (04) : 515 - 527
  • [29] (28) Air Quality Forecast Model Based on Model Products of CMAQ in Fuzhou City, China
    Chen, Binbin
    Yang, Kai
    Lin, Changcheng
    Lin, Wen
    Wang, Hong
    Yu, Yongjiang
    ADVANCES IN ENVIRONMENTAL SCIENCE AND ENGINEERING, PTS 1-6, 2012, 518-523 : 1442 - 1450
  • [30] The new Canadian updateable MOS forecast system
    Vallée, M
    Wilson, LJ
    14TH CONFERENCE ON PROBABILITY AND STATISTICS IN THE ATMOSPHERIC SCIENCES, 1998, : 183 - 189