{"_id":"rz8Fe9Wr94ettNNoi","bibbaseid":"tang-pan-lee-tong-kim-wang-lu-theperformanceandissuesofaregionalchemicaltransportmodelduringdiscoveraq2014aircraftmeasurementsovercolorado-2016","downloads":0,"creationDate":"2019-01-23T19:47:23.429Z","title":"The Performance and Issues of a Regional Chemical Transport Model During Discover-AQ 2014 Aircraft Measurements Over Colorado","author_short":["Tang, Y.","Pan, L.","Lee, P.","Tong, D.","Kim, H.","Wang, J.","Lu, S."],"year":2016,"bibtype":"inproceedings","biburl":"http://crop.csiss.gmu.edu/data/csiss_pub.bib","bibdata":{"bibtype":"inproceedings","type":"inproceedings","series":"Springer Proceedings in Complexity","title":"The Performance and Issues of a Regional Chemical Transport Model During Discover-AQ 2014 Aircraft Measurements Over Colorado","isbn":"978-3-319-24478-5","abstract":"The National Oceanic and Atmospheric Administration (NOAA) National Centers for Environmental Prediction operates the U.S. Air Quality Forecasting Capability (NAQFC) which uses primarily the U.S Environmental Protection Agency’s Community Multi-Scale Air Quality (CMAQ) model. NAQFC focuses on surface ozone and PM2.5 (particle matter with diameter \\textless2.5 µm), which impacts human-health. Near surface ozone mainly comes from photochemical reactions of NOx and volatile organic compounds (VOCs). Its sources in upper layers could come from either long-range transport or stratospheric ozone. Most PM2.5 comes from near-surface primary emissions or secondary generation from photochemical reactions. During the summer 2014 NASA Discover-AQ-Colorado program, the NOAA Air Resources Laboratory (ARL) provided a real-time forecast in support of aircraft measurements with 12 km CONUS (Contiguous United States) and 4 km nested domains. Here we compare the model results with the aircraft data to investigate our predictions.","language":"en","booktitle":"Air Pollution Modeling and its Application XXIV","publisher":"Springer International Publishing","author":[{"propositions":[],"lastnames":["Tang"],"firstnames":["Youhua"],"suffixes":[]},{"propositions":[],"lastnames":["Pan"],"firstnames":["Li"],"suffixes":[]},{"propositions":[],"lastnames":["Lee"],"firstnames":["Pius"],"suffixes":[]},{"propositions":[],"lastnames":["Tong"],"firstnames":["Daniel"],"suffixes":[]},{"propositions":[],"lastnames":["Kim"],"firstnames":["Hyun-Cheol"],"suffixes":[]},{"propositions":[],"lastnames":["Wang"],"firstnames":["Jun"],"suffixes":[]},{"propositions":[],"lastnames":["Lu"],"firstnames":["Sarah"],"suffixes":[]}],"editor":[{"propositions":[],"lastnames":["Steyn"],"firstnames":["Douw","G."],"suffixes":[]},{"propositions":[],"lastnames":["Chaumerliac"],"firstnames":["Nadine"],"suffixes":[]}],"year":"2016","keywords":"Aircraft Measurement, Emission Inventory, Global Forecast System, Lateral Boundary Condition, Surface Ozone","pages":"635–640","file":"Springer Full Text PDF:/Volumes/mini-disk1/Google Drive/_lib/zotero/storage/2RKGRDA2/Tang et al. - 2016 - The Performance and Issues of a Regional Chemical .pdf:application/pdf","bibtex":"@inproceedings{tang_performance_2016,\n\tseries = {Springer {Proceedings} in {Complexity}},\n\ttitle = {The {Performance} and {Issues} of a {Regional} {Chemical} {Transport} {Model} {During} {Discover}-{AQ} 2014 {Aircraft} {Measurements} {Over} {Colorado}},\n\tisbn = {978-3-319-24478-5},\n\tabstract = {The National Oceanic and Atmospheric Administration (NOAA) National Centers for Environmental Prediction operates the U.S. Air Quality Forecasting Capability (NAQFC) which uses primarily the U.S Environmental Protection Agency’s Community Multi-Scale Air Quality (CMAQ) model. NAQFC focuses on surface ozone and PM2.5 (particle matter with diameter {\\textless}2.5 µm), which impacts human-health. Near surface ozone mainly comes from photochemical reactions of NOx and volatile organic compounds (VOCs). Its sources in upper layers could come from either long-range transport or stratospheric ozone. Most PM2.5 comes from near-surface primary emissions or secondary generation from photochemical reactions. During the summer 2014 NASA Discover-AQ-Colorado program, the NOAA Air Resources Laboratory (ARL) provided a real-time forecast in support of aircraft measurements with 12 km CONUS (Contiguous United States) and 4 km nested domains. Here we compare the model results with the aircraft data to investigate our predictions.},\n\tlanguage = {en},\n\tbooktitle = {Air {Pollution} {Modeling} and its {Application} {XXIV}},\n\tpublisher = {Springer International Publishing},\n\tauthor = {Tang, Youhua and Pan, Li and Lee, Pius and Tong, Daniel and Kim, Hyun-Cheol and Wang, Jun and Lu, Sarah},\n\teditor = {Steyn, Douw G. and Chaumerliac, Nadine},\n\tyear = {2016},\n\tkeywords = {Aircraft Measurement, Emission Inventory, Global Forecast System, Lateral Boundary Condition, Surface Ozone},\n\tpages = {635--640},\n\tfile = {Springer Full Text PDF:/Volumes/mini-disk1/Google Drive/_lib/zotero/storage/2RKGRDA2/Tang et al. - 2016 - The Performance and Issues of a Regional Chemical .pdf:application/pdf}\n}\n\n","author_short":["Tang, Y.","Pan, L.","Lee, P.","Tong, D.","Kim, H.","Wang, J.","Lu, S."],"editor_short":["Steyn, D. G.","Chaumerliac, N."],"key":"tang_performance_2016","id":"tang_performance_2016","bibbaseid":"tang-pan-lee-tong-kim-wang-lu-theperformanceandissuesofaregionalchemicaltransportmodelduringdiscoveraq2014aircraftmeasurementsovercolorado-2016","role":"author","urls":{},"keyword":["Aircraft Measurement","Emission Inventory","Global Forecast System","Lateral Boundary Condition","Surface Ozone"],"downloads":0,"html":"","metadata":{"authorlinks":{}}},"search_terms":["performance","issues","regional","chemical","transport","model","during","discover","2014","aircraft","measurements","over","colorado","tang","pan","lee","tong","kim","wang","lu"],"keywords":["aircraft measurement","emission inventory","global forecast system","lateral boundary condition","surface ozone"],"authorIDs":["5bd89df764f10d10000003e1"],"dataSources":["DTsmNeo3d3wppoQWa"]}