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10.1029/2020GL089269 http://scihub22266oqcxt.onion/10.1029/2020GL089269 32904906!7461033!32904906     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Geophys+Res+Lett 2020 ; 47 (17): e2020GL089269 Nephropedia Template TP {{tp|p=32904906|t=2020. Disentangling the Impact of the COVID-19 Lockdowns on Urban NO(2) From Natural Variability |pdf=|usr=}}{{32904906}} gab.com Text Disentangling the Impact of the COVID-19 Lockdowns on Urban NO(2) From Natural Variability JO: Geophys Res Lett http://www.kidney.de/pget.php?&tw=1&pmid=32904906 #FOAvip TROPOMI satellite data show substantial drops in nitrogen dioxide (NO(2)) during COVID-19 physical distancing. To attribute NO(2) changes to NO (x) emissions changes over short timescales, one must account for meteorology. We find that meteorological patterns were especially favorable for low NO(2) in much of the United States in spring 2020, complicating comparisons with spring 2019. Meteorological variations between years can cause column NO(2) differences of ~15% over monthly timescales. After accounting for solar angle and meteorological considerations, we calculate that NO(2) drops ranged between 9.2% and 43.4% among 20 cities in North America, with a median of 21.6%. Of the studied cities, largest NO(2) drops (>30%) were in San Jose, Los Angeles, and Toronto, and smallest drops (<12%) were in Miami, Minneapolis, and Dallas. These normalized NO(2) changes can be used to highlight locations with greater activity changes and better understand the sources contributing to adverse air quality in each city. Twit Text FOAVip Disentangling the Impact of the COVID-19 Lockdowns on Urban NO(2) From Natural Variability ????Geophys Res Lett http://www.kidney.de/pget.php?&tw=1&pmid=32904906 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32904906 #FOAvip English Wikipedia <ref>{{Cite pmid|32904906}}</ref> Disentangling the Impact of the COVID-19 Lockdowns on Urban NO(2) From Natural Variability #MMPMID32904906 Goldberg DL; Anenberg SC; Griffin D; McLinden CA; Lu Z; Streets DG Geophys Res Lett 2020[Sep]; 47 (17): e2020GL089269 PMID32904906show ga TROPOMI satellite data show substantial drops in nitrogen dioxide (NO(2)) during COVID-19 physical distancing. To attribute NO(2) changes to NO (x) emissions changes over short timescales, one must account for meteorology. We find that meteorological patterns were especially favorable for low NO(2) in much of the United States in spring 2020, complicating comparisons with spring 2019. Meteorological variations between years can cause column NO(2) differences of ~15% over monthly timescales. After accounting for solar angle and meteorological considerations, we calculate that NO(2) drops ranged between 9.2% and 43.4% among 20 cities in North America, with a median of 21.6%. Of the studied cities, largest NO(2) drops (>30%) were in San Jose, Los Angeles, and Toronto, and smallest drops (<12%) were in Miami, Minneapolis, and Dallas. These normalized NO(2) changes can be used to highlight locations with greater activity changes and better understand the sources contributing to adverse air quality in each city. äDisentangling the Impact of the COVID-19 Lockdowns on Urban NO(2) From(epmc).pdf DeepDyve Pubget Overpricing