LEADER 01984nam 2200349 n 450 001 996391993703316 005 20221108062749.0 035 $a(CKB)1000000000673143 035 $a(EEBO)2248515044 035 $a(UnM)99871556 035 $a(EXLCZ)991000000000673143 100 $a19850724d1643 uy | 101 0 $aeng 135 $aurbn||||a|bb| 200 12$aA true and exact relation of all the proceedings of Sir Hugh Cholmleys revolt, deserting the Parliament, and going to the Queen, with the regaining of Scarborough Castle, by the courage and industry of Capt. Bushel$b[electronic resource] $eSent in two letters, the one from Sir Iohn Hotham to M. Speaker, the other, from a worthy Captain to a member of the honourable House of Commons. Die Martis 4 Aprilis 1643. It is ordered by the Commons in Parliament, that these two letters concerning Sir Hugh Cholmley's Revolt, and the re-taking of Scarborough Castle, shall be forthwith printed and published. H. Elsynge, Cler. Parl. D. Com 210 $aLondon $cPrinted for Richard Best, and are to be sold at his Shop neer Gray's Inne-gate in Holborn$d1643. April 7 215 $a[2], 9, [1] p 300 $aIn this edition line 7 reads: of Scarborough Castle,. 300 $aReproduction of the original in the British Library. 330 $aeebo-0018 607 $aGreat Britain$xHistory$yCivil War, 1642-1649$xCampaigns$vEarly works to 1800 607 $aScarborough (England)$xHistory, Military$vEarly works to 1800 700 $aHotham$b John$cSir,$fd. 1645 Jan. 2.$01004466 701 $aWorthy captain$01014557 801 0$bCu-RivES 801 1$bCu-RivES 801 2$bCStRLIN 801 2$bWaOLN 906 $aBOOK 912 $a996391993703316 996 $aA true and exact relation of all the proceedings of Sir Hugh Cholmleys revolt, deserting the Parliament and going to the Queen, with the regaining of Scarborough Castle by the courage and industry of Capt. Bushel$92396849 997 $aUNISA LEADER 05736nam 2200409 450 001 9910598032703321 005 20230328094036.0 035 $a(CKB)4100000003273637 035 $a(NjHacI)994100000003273637 035 $a(EXLCZ)994100000003273637 100 $a20230328d2018 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aAir quality monitoring and forecasting /$fPius Lee, Rick Saylor, Jeff McQueen, editors, 210 1$aBasel, Switzerland :$cMDPI - Multidisciplinary Digital Publishing Institute,$d[2018] 210 4$d©2018 215 $a1 online resource (210 pages) 311 $a3-03842-839-6 327 $aAbout the Special Issue Editors v -- Pius Lee, Rick Saylor and Jeff McQueen -- Air Quality Monitoring and Forecasting doi: 10.3390/atmos9030089 1 -- Wei Lu, Tinghua Ai, Xiang Zhang and Yakun He -- An Interactive Web Mapping Visualization of Urban Air Quality Monitoring Data of China doi: 10.3390/atmos8080148 3 -- Tiancai Zhou, Jian Sun and Huan Yu -- Temporal and Spatial Patterns of China's Main Air Pollutants: Years 2014 and 2015 doi: 10.3390/atmos8080137 19 -- Baolei Lyu, Yuzhong Zhang and Yongtao Hu -- Improving PM2.5 Air Quality Model Forecasts in China Using a Bias-Correction Framework doi: 10.3390/atmos8080147 34 -- Hui Zhao, Youfei Zheng and Ting Li -- Air Quality and Control Measures Evaluation during the 2014 Youth Olympic Games in Nanjing and its Surrounding Cities doi: 10.3390/atmos8060100 49 -- Casey D. Bray, William Battye, Pornpan Uttamang, Priya Pillai and Viney P. Aneja -- Characterization of Particulate Matter (PM2.5 and PM10) Relating to a Coal Power Plant in the Boroughs of Springdale and Cheswick, PA doi: 10.3390/atmos8100186 61 -- Samuel D. Lightstone, Fred Moshary and Barry Gross -- Comparing CMAQ Forecasts with a Neural Network Forecast Model for PM2.5 in New York doi: 10.3390/atmos8090161 74 -- Rodrigo Munoz-Alpizar, Radenko Pavlovic, Michael D. Moran, Jack Chen, Sylvie Gravel, Sarah B. Henderson, Sylvain M´enard, Jacinthe Racine, Annie Duhamel, Samuel Gilbert, Paul-Andr ´e Beaulieu, Hugo Landry, Didier Davignon, Sophie Cousineau and V ´eronique Bouchet Multi-Year (2013-2016) PM2.5 Wildfire Pollution Exposure over North America as Determined from Operational Air Quality Forecasts doi: 10.3390/atmos8090179 90 -- George M. Woodall, Mark D. Hoover, Ronald Williams, Kristen Benedict, Martin Harper, Jhy-Charm Soo, Annie M. Jarabek, Michael J. Stewart, James S. Brown, Janis E. Hulla, Motria Caudill, Andrea L. Clements, Amanda Kaufman, Alison J. Parker, Martha Keating, David Balshaw, Kevin Garrahan, Laureen Burton, Sheila Batka, Vijay S. Limaye, Pertti J. Hakkinen and Bob Thompson -- Interpreting Mobile and Handheld Air Sensor Readings in Relation to Air Quality Standards and Health Effect Reference Values: Tackling the Challenges doi: 10.3390/atmos8100182 114 Books MDPI -- Daniel-Eduard Constantin, Alexis Merlaud, Mirela Voiculescu, Carmelia Dragomir, Lucian Georgescu, Francois Hendrick, Gaia Pinardi and Michel Van Roozendael Mobile DOAS Observations of Tropospheric NO2 Using an UltraLight Trike and Flux Calculation doi: 10.3390/atmos8040078 140 -- Richard M ´enard and Martin Deshaies-Jacques -- Evaluation of Analysis by Cross-Validation. Part I: Using Verification Metrics doi: 10.3390/atmos9030086 153 -- Richard M ´enard and Martin Deshaies-Jacques -- Evaluation of Analysis by Cross-Validation, Part II: Diagnostic and Optimization of Analysis Error Covariance doi: 10.3390/atmos9020070 169 -- Barry Baker and Li Pan -- Overview of the Model and Observation Evaluation Toolkit (MONET) Version 1.0 for Evaluating Atmospheric Transport Models doi: 10.3390/atmos8110210 190. 330 $aAir quality is personal. Its management is highly so. Asthmatic or air-pollutant-sensitive individuals depend on accurate air quality forecasts to help manage their daily activities. However, the adverse effects of poor air quality on public health and visibility extend far beyond the daily time horizon. Pneumonic and cardiac vascular responses of individuals in all age groups can be both acute, episodic and short-term, as well as chronic, accumulative and long-term. Urban haze resulting from stagnant poor air can linger for many days. In this Special Issue, seven papers cover a wide range of air pollution forecasting technology and emission control responses. It is paramount to verify and improve air quality forecast modeling systems constantly by as many quality-assured and cross-calibrated measurements as possible. Improvements from national centers such as the U. S. National Oceanic and Atmospheric Administration's (NOAA) research arms must produce verification statistics satisfying operational center performance metrics over multiple seasons before implementation is possible. High quality, compact, and mobile monitors are a significant player in air quality and atmospheric composition continuous measurements and are poised to become even more important. Five papers in this issue provide insight on observation technological advances and data assimilation. Air quality monitoring and forecasting sciences necessarily advance in lock-step and improvements for one benefit the other. 606 $aAir$xPollution$xMeasurement 606 $aAir quality 615 0$aAir$xPollution$xMeasurement. 615 0$aAir quality. 676 $a628.530287 702 $aLee$b Pius 702 $aSaylor$b Rick 702 $aMcQueen$b Jeff 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910598032703321 996 $aAir Quality Monitoring and Forecasting$92948987 997 $aUNINA