M-TraCE: a new tool for high-resolution computation and statistical elaboration of backward trajectories on the Italian domain
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Lina Vitali | Gaia Righini | Antonio Piersanti | Giuseppe Cremona | G. Pace | Luisella Ciancarella | G. Righini | G. Pace | A. Piersanti | L. Ciancarella | G. Cremona | L. Vitali
[1] M. Cabello,et al. Influence of meteorological input data on backtrajectory cluster analysis - a seven-year study for southeastern Spain , 2008 .
[2] J. Ferrier,et al. Pollen record of rapidly changing air trajectories to the North Pole , 2004 .
[3] S. Henne,et al. Region of influence of 13 remote European measurement sites based on modeled carbon monoxide mixing ratios , 2009 .
[4] Stefan Gilge,et al. Temporal and spatial structure of a volcanic ash cloud: ground-based remote sensing and numerical modeling , 2010, Remote Sensing.
[5] Gionata Biavati,et al. Seasonal behavior of Saharan dust events at the Mediterranean island of Lampedusa in the period 1999-2005 , 2007 .
[6] Katalin Bódis,et al. Assessing complementarity of wind and solar resources for energy production in Italy. A Monte Carlo approach , 2014 .
[7] Heini Wernli,et al. An intercomparison of results from three trajectory models , 2001 .
[8] A. Stohl,et al. Interpolation Errors in Wind Fields as a Function of Spatial and Temporal Resolution and Their Impact on Different Types of Kinematic Trajectories , 1995 .
[10] Lina Vitali,et al. Spatial representativeness of air quality monitoring stations: A grid model based approach , 2015 .
[11] M. Perrone,et al. The impact of long-range-transport on PM1 and PM2.5 at a Central Mediterranean site , 2013 .
[12] G. Fiocco,et al. Seasonal variability of tropospheric aerosols in Rome , 2012 .
[13] B. Schichtel,et al. Directional Biases in Back Trajectories Caused by Model and Input Data , 2005, Journal of the Air & Waste Management Association.
[14] G. Righini,et al. GIS based assessment of the spatial representativeness of air quality monitoring stations using pollutant emissions data , 2014 .
[15] Yang Sun,et al. Long-range transport and regional sources of PM2.5 in Beijing based on long-term observations from 2005 to 2010 , 2015 .
[16] U. Dayan,et al. Desert Dust Outbreaks over Mediterranean Basin: A Modeling, Observational, and Synoptic Analysis Approach , 2012 .
[17] Dominik Brunner,et al. Assessment of parameters describing representativeness of air quality in-situ measurement sites , 2009 .
[18] Daniela Meloni,et al. Forest fire aerosol over the Mediterranean basin during summer 2003 , 2005 .
[19] B. Pavoni,et al. Characterization of PM10 sources in a coastal area near Venice (Italy): an application of factor-cluster analysis. , 2010, Chemosphere.
[20] R. Draxler,et al. NOAA’s HYSPLIT Atmospheric Transport and Dispersion Modeling System , 2015 .
[21] Ariel F. Stein,et al. Source apportionment for African dust outbreaks over the Western Mediterranean using the HYSPLIT model , 2011 .
[22] Alessio Rocchi,et al. The role of medium size facilities in the HPC ecosystem: the case of the new CRESCO4 cluster integrated in the ENEAGRID infrastructure , 2014, 2014 International Conference on High Performance Computing & Simulation (HPCS).
[23] R. Draxler. An Overview of the HYSPLIT_4 Modelling System for Trajectories, Dispersion, and Deposition , 1998 .
[24] Jordan G. Powers,et al. A Description of the Advanced Research WRF Version 2 , 2005 .
[25] H. Scheifinger,et al. Validation of trajectory statistical methods , 2007 .
[26] Yi-Fan Li,et al. Implications for long-range atmospheric transport of polycyclic aromatic hydrocarbons in Lhasa, China , 2013, Environmental Science and Pollution Research.
[27] M. Engle,et al. Patterns of mercury dispersion from local and regional emission sources, rural Central Wisconsin, USA , 2010 .
[28] Carlo Barbante,et al. Experimental evidence of biomass burning as a source of atmospheric 137Cs, puy de Dôme (1465 m a.s.l.), France , 2010 .
[29] O. Boucher,et al. Source evaluation of aerosols measured during the Indian Ocean Experiment using combined chemical transport and back trajectory modeling , 2007 .
[30] F. Monteleone,et al. Atmospheric methane in the Mediterranean: Analysis of measurements at the island of Lampedusa during 1995–2005 , 2007 .
[31] C. Thiel,et al. A GIS based approach to back trajectory analysis for the source apportionment of aerosol constituents and its first application , 2010 .
[32] Cinzia Perrino,et al. Impact of grid resolution on aerosol predictions: A case study over Italy , 2016 .
[33] V. Ulevicius,et al. The Use of Trajectory Cluster Analysis to Evaluate the Long-Range Transport of Black Carbon Aerosol in the South-Eastern Baltic Region , 2014 .
[34] J. Zeng,et al. METEX - A flexible tool for air trajectory calculation , 2010, Environ. Model. Softw..
[35] R. Draxler. HYSPLIT (HYbrid Single-Particle Lagrangian Integrated Trajectory) Model access via NOAA ARL READY Website , 2010 .
[36] C. Chan,et al. The effects of Southeast Asia fire activities on tropospheric ozone, trace gases and aerosols at a remote site over the Tibetan Plateau of Southwest China , 2006 .
[37] Samuel J. Oltmans,et al. Trajectory model sensitivity to differences in input data and vertical transport method , 2005 .
[38] Meteorological and Back Trajectory Modeling for the Rocky Mountain Atmospheric Nitrogen and Sulfur Study II , 2014 .
[39] D. Meloni,et al. On the complexity of the boundary layer structure and aerosol vertical distribution in the coastal Mediterranean regions: a case study , 2015 .
[41] Irene Cheng,et al. Overview of receptor-based source apportionment studies for speciated atmospheric mercury , 2015 .
[42] Xiong Liu,et al. High-resolution tropospheric ozone fields for INTEX and ARCTAS from IONS ozonesondes , 2010 .
[43] Daniela Meloni,et al. Aerosol optical properties at Lampedusa (Central Mediterranean). 1. Influence of transport and identification of different aerosol types , 2005 .
[44] D. Cohen,et al. A new approach to the combination of IBA techniques and wind back trajectory data to determine source contributions to long range transport of fine particle air pollution , 2012 .
[45] Study of the Impact of Low vs. High Resolution Meteorology on Air Quality Simulations Using the MINNI Model Over Italy , 2014 .
[46] G. Righini,et al. Assessment of the AMS-MINNI system capabilities to simulate air quality over Italy for the calendar year 2005 , 2014 .
[47] E. Brattich,et al. Analysis of 210Pb peak values at Mt. Cimone (1998–2011) , 2015 .
[48] P. Monks,et al. Review : Untangling the influence of air-mass history in interpreting observed atmospheric composition , 2012 .
[49] Kaarle Hämeri,et al. Local Air Pollution Versus Short-range Transported Dust Episodes: A Comparative Study for Submicron Particle Number Concentration , 2011 .
[50] Wei Huang,et al. NCAR Command Language (NCL) , 2012 .
[51] Paul James,et al. A modelling study of an extraordinary night time ozone episode over Madrid domain , 2005, Environ. Model. Softw..
[52] Sverre Petterssen,et al. Weather analysis and forecasting , 1940 .
[53] L. Alados-Arboledas,et al. Classification of aerosol radiative properties during African desert dust intrusions over southeastern Spain by sector origins and cluster analysis , 2012 .
[54] Glenn Rolph,et al. Real-time Environmental Applications and Display sYstem: READY , 2017, Environ. Model. Softw..
[55] S. Fernández-Rodríguez,et al. Potential sources of airborne Alternaria spp. spores in South-west Spain. , 2015, The Science of the total environment.
[56] M. Newchurch,et al. Stratosphere‐to‐troposphere transport revealed by ground‐based lidar and ozonesonde at a midlatitude site , 2012 .
[57] V. Thouret,et al. Influences of regional pollution and long range transport over Hyderabad using ozone data from MOZAIC , 2015 .
[58] W. Cotton,et al. RAMS 2001: Current status and future directions , 2003 .
[59] I. Pérez,et al. Applications of Air Mass Trajectories , 2015 .
[60] A. Stohl. Computation, accuracy and applications of trajectories—A review and bibliography , 1998 .
[61] C. Skjøth,et al. Crop harvest in Denmark and Central Europe contributes to the local load of airborne Alternaria spore concentrations in Copenhagen , 2012 .
[62] C. Galán,et al. Improvement in the accuracy of back trajectories using WRF to identify pollen sources in southern Iberian Peninsula , 2014, International Journal of Biometeorology.
[63] J. Chow,et al. PM2.5 source apportionment: reconciling receptor models for U.S. nonurban and urban long-term networks. , 2011, Journal of the Air & Waste Management Association.
[64] David D. Parrish,et al. NORTH AMERICAN REGIONAL REANALYSIS , 2006 .
[65] G. de Gennaro,et al. An integrated approach using high time-resolved tools to study the origin of aerosols. , 2015, The Science of the total environment.
[66] A. Piazzalunga,et al. Characterization of atmospheric aerosols at Monte Cimone, Italy, during summer 2004: Source apportionment and transport mechanisms , 2006 .
[67] Y. Heymann,et al. CORINE Land Cover. Technical Guide , 1994 .
[68] R. Draxler,et al. Evaluation of Lagrangian Particle Dispersion Models with Measurements from Controlled Tracer Releases , 2013 .
[69] M. Masiol,et al. Application of meteorology-based methods to determine local and external contributions to particulate matter pollution: A case study in Venice (Italy) , 2015 .
[70] M. Legrand,et al. Evaluation of aerosol sources at European high altitude background sites with trajectory statistical methods , 2009 .