Ivan Ortega
University of Colorado Boulder
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Publication
Featured researches published by Ivan Ortega.
Journal of Geophysical Research | 2016
S.-W. Kim; Brian C. McDonald; Sunil Baidar; Steven S. Brown; B. Dube; Richard A. Ferrare; G. J. Frost; Robert A. Harley; John S. Holloway; H.‐J. Lee; S. A. McKeen; J. A. Neuman; J. B. Nowak; H. Oetjen; Ivan Ortega; I. B. Pollack; James M. Roberts; T. B. Ryerson; Amy Jo Scarino; Christoph J. Senff; Ryan Thalman; M. Trainer; R. Volkamer; Nicholas L. Wagner; Rebecca A. Washenfelder; Eleanor M. Waxman; Cora J. Young
We developed a new nitrogen oxide (NOx) and carbon monoxide (CO) emission inventory for the Los Angeles-South Coast Air Basin (SoCAB) expanding the Fuel-based Inventory for motor-Vehicle Emissions and applied it in regional chemical transport modeling focused on the California Nexus of Air Quality and Climate Change (CalNex) 2010 field campaign. The weekday NOx emission over the SoCAB in 2010 is 620 t d−1, while the weekend emission is 410 t d−1. The NOx emission decrease on weekends is caused by reduced diesel truck activities. Weekday and weekend CO emissions over this region are similar: 2340 and 2180 t d−1, respectively. Previous studies reported large discrepancies between the airborne observations of NOx and CO mixing ratios and the model simulations for CalNex based on the available bottom-up emission inventories. Utilizing the newly developed emission inventory in this study, the simulated NOx and CO mixing ratios agree with the observations from the airborne and the ground-based in situ and remote sensing instruments during the field study. The simulations also reproduce the weekly cycles of these chemical species. Both the observations and the model simulations indicate that decreased NOx on weekends leads to enhanced photochemistry and increase of O3 and Ox (=O3 + NO2) in the basin. The emission inventory developed in this study can be extended to different years and other urban regions in the U.S. to study the long-term trends in O3 and its precursors with regional chemical transport models.
Journal of Geophysical Research | 2016
Larry K. Berg; Jerome D. Fast; James C. Barnard; Sharon Burton; Brian Cairns; Duli Chand; Jennifer M. Comstock; Stephen E. Dunagan; Richard A. Ferrare; Connor J. Flynn; Johnathan W. Hair; Chris A. Hostetler; John M. Hubbe; Anne Jefferson; Roy R. Johnson; Evgueni I. Kassianov; Celine D. Kluzek; Pavlos Kollias; Katia Lamer; Kathleen Lantz; Fan Mei; Mark A. Miller; Joseph Michalsky; Ivan Ortega; Mikhail S. Pekour; Ray Rogers; Philip B. Russell; J. Redemann; Arthur J. Sedlacek; Michal Segal-Rosenheimer
The Two-Column Aerosol Project (TCAP), conducted from June 2012 through June 2013, was a unique study designed to provide a comprehensive data set that can be used to investigate a number of important climate science questions, including those related to aerosol mixing state and aerosol radiative forcing. The study was designed to sample the atmosphere between and within two atmospheric columns; one fixed near the coast of North America (over Cape Cod, MA) and a second moveable column over the Atlantic Ocean several hundred kilometers from the coast. The U.S. Department of Energys (DOE) Atmospheric Radiation Measurement (ARM) Mobile Facility (AMF) was deployed at the base of the Cape Cod column, and the ARM Aerial Facility was utilized for the summer and winter intensive observation periods. One important finding from TCAP is that four of six nearly cloud-free flight days had aerosol layers aloft in both the Cape Cod and maritime columns that were detected using the nadir pointing second-generation NASA high-spectral resolution lidar (HSRL-2). These layers contributed up to 60% of the total observed aerosol optical depth (AOD). Many of these layers were also intercepted by the aircraft configured for in situ sampling, and the aerosol in the layers was found to have increased amounts of biomass burning material and nitrate compared to aerosol found near the surface. In addition, while there was a great deal of spatial and day-to-day variability in the aerosol chemical composition and optical properties, no systematic differences between the two columns were observed.
Journal of Geophysical Research | 2016
Jerome D. Fast; Larry K. Berg; Kai Zhang; Richard C. Easter; Richard A. Ferrare; Johnathan W. Hair; Chris A. Hostetler; Ying Liu; Ivan Ortega; Arthur J. Sedlacek; John E. Shilling; Manish Shrivastava; Stephen R. Springston; Jason M. Tomlinson; R. Volkamer; Jacqueline Wilson; Rahul A. Zaveri; Alla Zelenyuk
The ability of the Weather Research and Forecasting model with chemistry (WRF-Chem) version 3.7 and the Community Atmosphere Model version 5.3 (CAM5) in simulating profiles of aerosol properties is quantified using extensive in situ and remote sensing measurements from the Two-Column Aerosol Project (TCAP) conducted during July of 2012. TCAP was supported by the U.S. Department of Energys Atmospheric Radiation Measurement program and was designed to obtain observations within two atmospheric columns; one fixed over Cape Cod, Massachusetts, and the other several hundred kilometers over the ocean. The performance is quantified using most of the available aircraft and surface measurements during July, and 2 days are examined in more detail to identify the processes responsible for the observed aerosol layers. The higher-resolution WRF-Chem model produced more aerosol mass in the free troposphere than the coarser-resolution CAM5 model so that the fraction of aerosol optical thickness above the residual layer from WRF-Chem was more consistent with lidar measurements. We found that the free troposphere layers are likely due to mean vertical motions associated with synoptic-scale convergence that lifts aerosols from the boundary layer. The vertical displacement and the time period associated with upward transport in the troposphere depend on the strength of the synoptic system and whether relatively high boundary layer aerosol concentrations are present where convergence occurs. While a parameterization of subgrid scale convective clouds applied in WRF-Chem modulated the concentrations of aerosols aloft, it did not significantly change the overall altitude and depth of the layers.
Atmospheric Chemistry and Physics | 2012
Rahul A. Zaveri; William J. Shaw; Daniel J. Cziczo; Beat Schmid; Richard A. Ferrare; M. L. Alexander; M. Alexandrov; Raul J. Alvarez; W. P. Arnott; Dean B. Atkinson; Sunil Baidar; R. M. Banta; James C. Barnard; Josef Beranek; Larry K. Berg; Fred J. Brechtel; W. A. Brewer; John F. Cahill; Brian Cairns; Christopher D. Cappa; Duli Chand; Swarup China; Jennifer M. Comstock; Manvendra K. Dubey; Richard C. Easter; M. Erickson; Jerome D. Fast; Cody Floerchinger; Bradley A. Flowers; Edward Charles Fortner
Atmospheric Measurement Techniques | 2015
R. Volkamer; Sunil Baidar; Teresa L. Campos; Sean Coburn; Joshua Digangi; B. Dix; Edwin W. Eloranta; Theodore K. Koenig; Bruce Morley; Ivan Ortega; Bridget R. Pierce; M. Reeves; R. Sinreich; Siyuan Wang; Mark A. Zondlo; Pavel Romashkin
Atmospheric Measurement Techniques | 2013
Sunil Baidar; H. Oetjen; Sean Coburn; B. Dix; Ivan Ortega; R. Sinreich; R. Volkamer
Atmospheric Chemistry and Physics | 2016
Tomás Sherwen; Johan A. Schmidt; M. J. Evans; Lucy J. Carpenter; Katja Großmann; Sebastian D. Eastham; Daniel J. Jacob; B. Dix; Theodore K. Koenig; R. Sinreich; Ivan Ortega; R. Volkamer; Alfonso Saiz-Lopez; Cristina Prados-Roman; Anoop S. Mahajan; Carlos Ordóñez
Atmospheric Measurement Techniques | 2014
Sean Coburn; Ivan Ortega; Ryan Thalman; B. W. Blomquist; Christopher W. Fairall; R. Volkamer
Atmospheric Chemistry and Physics | 2016
Tomás Sherwen; M. J. Evans; Lucy J. Carpenter; Stephen J. Andrews; Richard T. Lidster; B. Dix; Theodore K. Koenig; R. Sinreich; Ivan Ortega; R. Volkamer; Alfonso Saiz-Lopez; Cristina Prados-Roman; Anoop S. Mahajan; C. Ordóñez
Atmospheric Measurement Techniques | 2015
Ivan Ortega; Theodore K. Koenig; R. Sinreich; D. Thomson; R. Volkamer