Literature DB >> 16408683

The New England Air Quality Forecasting Pilot Program: development of an evaluation protocol and performance benchmark.

Daiwen Kang1, Brian K Eder, Ariel F Stein, Georg A Grell, Steven E Peckham, John McHenry.   

Abstract

The National Oceanic and Atmospheric Administration recently sponsored the New England Forecasting Pilot Program to serve as a "test bed" for chemical forecasting by providing all of the elements of a National Air Quality Forecasting System, including the development and implementation of an evaluation protocol. This Pilot Program enlisted three regional-scale air quality models, serving as prototypes, to forecast ozone (O3) concentrations across the northeastern United States during the summer of 2002. A suite of statistical metrics was identified as part of the protocol that facilitated evaluation of both discrete forecasts (observed versus modeled concentrations) and categorical forecasts (observed versus modeled exceedances/nonexceedances) for both the maximum 1-hr (125 ppb) and 8-hr (85 ppb) forecasts produced by each of the models. Implementation of the evaluation protocol took place during a 25-day period (August 5-29), utilizing hourly O3 concentration data obtained from over 450 monitors from the U.S. Environment Protection Agency's Air Quality System network.

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Year:  2005        PMID: 16408683     DOI: 10.1080/10473289.2005.10464775

Source DB:  PubMed          Journal:  J Air Waste Manag Assoc        ISSN: 1096-2247            Impact factor:   2.235


  6 in total

1.  A new approach combining a simplified FLEXPART model and a Bayesian-RAT method for forecasting PM10 and PM2.5.

Authors:  Lifeng Guo; Baozhang Chen; Huifang Zhang; Yanhu Zhang
Journal:  Environ Sci Pollut Res Int       Date:  2019-11-26       Impact factor: 4.223

2.  Development and evaluation of an advanced National Air Quality Forecasting Capability using the NOAA Global Forecast System version 16.

Authors:  Patrick C Campbell; Youhua Tang; Pius Lee; Barry Baker; Daniel Tong; Rick Saylor; Ariel Stein; Jianping Huang; Ho-Chun Huang; Edward Strobach; Jeff McQueen; Li Pan; Ivanka Stajner; Jamese Sims; Jose Tirado-Delgado; Youngsun Jung; Fanglin Yang; Tanya L Spero; Robert C Gilliam
Journal:  Geosci Model Dev       Date:  2022-04-21       Impact factor: 6.892

3.  Evaluation of the offline-coupled GFSv15-FV3-CMAQv5.0.2 in support of the next-generation National Air Quality Forecast Capability over the contiguous United States.

Authors:  Xiaoyang Chen; Yang Zhang; Kai Wang; Daniel Tong; Pius Lee; Youhua Tang; Jianping Huang; Patrick C Campbell; Jeff Mcqueen; Havala O T Pye; Benjamin N Murphy; Daiwen Kang
Journal:  Geosci Model Dev       Date:  2021-06-29       Impact factor: 6.892

4.  Simulating lightning NO production in CMAQv5.2: performance evaluations.

Authors:  Daiwen Kang; Kristen M Foley; Rohit Mathur; Shawn J Roselle; Kenneth E Pickering; Dale J Allen
Journal:  Geosci Model Dev       Date:  2019       Impact factor: 6.135

5.  Performance of high resolution (400 m) PM2.5 forecast over Delhi.

Authors:  Chinmay Jena; Sachin D Ghude; Rajesh Kumar; Sreyashi Debnath; Gaurav Govardhan; Vijay K Soni; Santosh H Kulkarni; G Beig; Ravi S Nanjundiah; M Rajeevan
Journal:  Sci Rep       Date:  2021-02-18       Impact factor: 4.379

6.  Implications of Nonstationary Effect on Geographically Weighted Total Least Squares Regression for PM2.5 Estimation.

Authors:  Arezoo Mokhtari; Behnam Tashayo; Kaveh Deilami
Journal:  Int J Environ Res Public Health       Date:  2021-07-02       Impact factor: 3.390

  6 in total

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