Ensemble statistical post-processing of the national air quality forecast capability: Enhancing ozone forecasts in Baltimore, Maryland

Atmospheric Environment

Volumn 81, Issue , 2013, Pages 517-522

  Garner, Gregory G ^a   Thompson, Anne M ^b  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

^b NASA GODDARD SPACE FLIGHT CENTER   (United States)

Author keywords

Air quality; Baltimore; Bootstrap; Ensemble forecast; Extreme value; Regression tree

Indexed keywords

BALTIMORE; BOOTSTRAP; ENSEMBLE FORECASTS; EXTREME VALUE; REGRESSION TREES;

AIR QUALITY; FORESTRY; METEOROLOGY; OZONE; REGRESSION ANALYSIS; TREES (MATHEMATICS);

FORECASTING;

OZONE;

AIR QUALITY; ATMOSPHERIC POLLUTION; BOOTSTRAPPING; DECISION MAKING; FORECASTING METHOD; METEOROLOGY; NUMERICAL MODEL; OZONE;

AIR QUALITY; ARTICLE; COST; DATA PROCESSING; FORECASTING; INFORMATION; PREDICTION; PRIORITY JOURNAL; PROBABILITY; UNITED STATES; VALIDATION PROCESS;

AIR QUALITY; DECISION MAKING; FORECASTS; METEOROLOGY; OZONE; REGRESSION ANALYSIS;

BALTIMORE; MARYLAND; UNITED STATES;

EID: 84885399625     PISSN: 13522310     EISSN: 18732844     Source Type: Journal    
DOI: 10.1016/j.atmosenv.2013.09.020     Document Type: Article

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