Dr. Arlindo M da Silva

Dr. Arlindo M da Silva

  • RESEARCH AST, METEOROLOGICAL STUDIES
  • 301.614.6174 | 301.614.6297
  • NASA/GSFC
  • Mail Code: 610.1
  • Greenbelt , MD 20771
  • Employer: NASA
  • Brief Bio

    Dr. Arlindo da Silva is a Research Meteorologist at the Global Modeling and Assimilation Office (GMAO, formerly DAO), NASA/Goddard Space Flight Center, where he has worked since 1994. Prior to joining the GMAO, Dr. da Silva held a faculty position at the University of Wisconsin-Milwaukee from 1990-1993, and was a Visiting Scientist at Princeton University/Geophysical Fluid Dynamics Laboratory from 1989-1990.

    Originally trained as a physicist and atmospheric dynamicist, Dr. da Silva’s research has spanned a number of related topics in the last decades: dynamics of stationary and transient atmospheric waves, numerical modeling of Lake Michigan, estimation of fluxes of heat, momentum, and fresh water fluxes over the global oceans, climate diagnostics, including aerosol forcing of climate, hydrological cycle of the subtropics and Amazon basin and data assimilation. Since joining GSFC Dr. da Silva’s research has focused on techniques for 4-dimensional data assimilation, including physical-space analysis systems, error covariance modeling, forecast bias estimation and correction, quality control of observations, land-surface, precipitation, aerosol and constituent data assimilation. Dr. da Silva was the lead developer for the Physical-space Statistical Analysis System (PSAS), GEOS-4 atmospheric data assimilation system, the Quick Fire Emission Dataset (QFED), and the Goddard Aerosol Assimilation System within GEOS. Dr. da Silva was the data assimilation PI for the original Earth System Modeling Framework (ESMF) project and currently serves in the ESMF executive board. From 2014  to 2018 Dr. da Silva served as the Science Study Lead for the Aerosol-Cloud-Ecosystems (ACE) Decadal Survey Pre-formulation Study.  Currently, Dr. da Silva is the GSFC Science co-lead for the Aerosols and Clouds-Convection-Precipitation Decadal Survey Pre-formulation Study. 

    Dr. da Silva has been active in the open source software community being the founder and main developer of the OpenGrADS Project (http://opengrads.org).

    Research Interests

    Global Aerosol Modeling and Data Assimilation

    Development of global aerosol models and advanced data assimilation techniques for assimilating satellite measurements in such models. Application of these systems for air-quality forecasting, historical reanalyses, and observing system simulations in support of future NASA space missions. Curen activities include advancing the representation of aerosols in the GEOS-5 earth system model, application of Ensemble Kalman Filter (EnKF) algorithms for the assimilation of aerosol observations, and use of machine learning algorithms for aerosol retrievals.

    Cloud Data Assimilation

    Development of advanced algorithms for assimilation of spaceborne cloud observations in global earth system models. Recent activities focus on the application of Bayesian inference for estimating the sub-grid p.d.f. of water vapor and cloud condensate from high resolution satellite data.

    Biomass Burning Emissions

    Estimation of biomass burning emissions for driving global earth system models. Recent activities have focused on top-down algorithms based on fire radiative power and data assimilation techniques leading to the development of the Quick Fire Emission Dataset (QFED).

    Observing System Simulation Experiments (OSSE) for Clouds and Atmospheric Composition

    A model-base Observing System Simulation Experiment (OSSE) is a framework for numerical experimentation in which observables are simulated from fields generated by an earth system model, including a parameterized description of the observational error characteristics. Such simulations are performed in support of an experimental goal. Current focus is on the application of a rigorous OSSE methodology for cloud, aerosol and trace gases measurements to existing and future NASA observing missions.

    Software Frameworks for Earth System Modeling and Data Assimilation

    Development of high-performance, flexible software infrastructure for building and coupling weather, climate, data assimilation and related Earth science applications. Specific activities include advancing the Earth System Modeling Framework (ESMF) through development of integrated development environments, and refiniment of usability layers such as MAPL and NUOPC for enhanced interoperability.

    Education

    PhD in Meteorology, 1989, Massachusetts Institute of Technology, under the supervision of R. Lindzen. Thesis: The role of temporal changes of the zonal wind on the excitation of large scale transients.

    MS in Physics, 1984,  Catholic University of Rio de Janeiro (PUC/RJ), Brazil. Thesis: Evolution of quantum systems periodic in time.

    BS in Physics, 1982, Catholic University of Rio de Janeiro (PUC/RJ), Brazil

    Positions/Employment

    8/1994 - Present

    AST, Research Meteorologist

    NASA Goddard Space Flight Center, Greenbelt, Maryland

    Research meteorologist at the Global Modeling and Assimilation Office (GMAO, formerly the Data Assimilation Office - DAO). Since joining GSFC Dr. da Silva’s research has focused on techniques for 4-dimensional data assimilation, including physical-space analysis systems, error covariance modeling, forecast bias estimation and correction, quality control of observations, land-surface, precipitation, aerosol and constituent data assimilation. Dr. da Silva was the lead developer for the Physical-space Statistical Analysis System (PSAS), GEOS-4 atmospheric data assimilation system, and the Goddard Aerosol Assimilation System (GAAS) within GEOS-5. Dr. da Silva was the data assimilation PI for the original Earth System Modeling Framework (ESMF) proposal and currently serves in the ESMF executive board. Since 2014 Dr. da Silva is the Science Study Lead for the Aerosol-Cloud-Ecosystems (ACE) Decadal Survey Mission.

    1/1994 - 8/1994

    Visiting Scientist

    University Space Research Association (USRA), at NASA/GSFC in Greenbelt, Maryland.

    Development of atmospheric data assimilation algorithms.

    8/1990 - 12/1993

    Assistant Professor

    University of Wisconsin-Milwaukee, Milwaukee, Wisconsin

    Taught graduate and undergraduate courses in atmospheric and oceanic sciences. Research activities focused on the estimation of historical surface marine fluxes of heat, moment and fresh water over the global oceans, numerical modeling of Lake Michigan and tropical dynamics.

    3/1989 - 8/1990

    Visiting Scientist

    Princeton University, at the Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey.

    Research acitivities include numerical modeling of stationary waves, climate diagnostics and estimation of surface marine fluxes.

    Professional Societies

    American Meteorological Society, 1985 - Present
    Former President of the Milwaukee Chapter of the American Meteorological Society (1993).
    American Geophysical Union, 1995 - Present
    American Association for the Advancement of Science, 2000 - Present

    Professional Service

    • Member, Earth System Modeling Framework (ESMF) Executive Board (2003-present)
    • Member, NUOPC Common Modeling Architecture Working Group (2012-2018)
    • CALIPSO Science Team
    • Co-Chair, GEO-CAPE Global OSSE Working Group (2013-2017)
    • AMS Committee on Air-sea Interactions (1998)
    • JSC/SCOR Working Group on Air -sea fluxes (1997-1999)
     

    Teaching Experience

    Graduate/undergraduate courses taught at the University of Wisconsin-Milwaukee:

    1. Survey of Meteorology (undergraduate)
    2. Earth, Air, Wind and Fire (undergraduate)
    3. Weather: Principles and Forecasting (undergraduate)
    4. Dynamic Meteorology I (undergraduate/graduate)
    5. Dynamic Meteorology II (undergraduate/graduate)
    6. Advanced Synoptic Meteorology I (undergraduate/graduate)
    7. Advanced Synoptic Meteorology II (undergraduate/graduate)
    8. Physical Oceanography (undergraduate/graduate)
    9. Numerical Weather Prediction (graduate)
    10. Topics on ENSO (graduate)
    11. Introduction to McIdas (undergraduate)
       

    Current Projects

    Aerosols and Clouds-Convection-Precipitation Pre-formulation Study

    The 2017 Decadal Survey (DS) highlighted Earth System Science themes, and identified high priority science questions and motivating applications that have led to the inclusion of Aerosols (A) and Clouds-Convection-Precipitation (CCP) as Designated Observables (DOs) for NASA. On June 1, 2018, several NASA centers (GSFC, LaRC, JPL, MSFC, GRC and ARC) submitted a joint Study Plan to the NASA Earth Science Division for the Aerosol (A) and Cloud, Convection, and Precipitation (CCP) Pre-formulation Study (ACCP). The DS, NASA and the ACCP team recognize the science merit in combining the A and CCP DOs for both enhancing the ability to address the science objectives associated with A and CCP separately but also address a number of science objectives that involve explicit connections between aerosols, clouds, convection and precipitation.
     

    Lead for the GEOS-5 Aerosol Group

    Leads the development of aerosol components, emissions and data assimilation within the GEOS-5 Earth System Model. As such coordinates operational implementation of algorithms, aerosol aspects of MERRA and related reanalysis, as well as GMAO participation in aerosol/cloud related aircraft campaigns.

    Using Near-Real Time Satellite Retrieved Cloud and Surface Properties to Validate and Improve GEOS-5 Analyses and Forecasts

    This NASA funded research is a collaboration between NASA GSFC and LaRC toward the ultimate goal of assimilating, in near-real time (NRT), aerosol, cloud and surface properties derived from satellite data into the Global Modeling and Assimilation Office (GMAO) GEOS-5 earth system model.

    Cupid: An Integrated Development Environment for Earth System Models

    The work involved in this NASA funded project adds capabilities to and increases the robustness of the Cupid Integrated Development Environment (IDE) with a focus on adding new tooling to support development, execution, and runtime analysis of the Goddard Earth Observing System Model, Version 5 (GEOS-5). The work will result in a set of intelligent, integrated development tools that increase the overall usability of GEOS-5, simplify model execution and debugging, provide visualization of coupling control and data flows, and improve interoperability of GEOS-5 with other ESMF-based applications. 

    Combined CALIPSO plus PARASOL aerosol retrieval and information content study

    The overarching motivation of this project is to make use of the unique advantages of the combination of CALIPSO plus PARASOL for improving representations of aerosol in climate calculations, and to characterize the information content of a range of lidar plus polarimeter combinations to inform future observations systems. This is a joint project lead by PI Sharon Burton from LaRC.

    Development of Gridded Innovations and Observations supplement to MERRA-2 and future GEOS-5 data products

    This project evaluates, validatess and deliver the assimilated observations processed in the MERRA-2 reanalyses along with key statistics derived from the data assimilation, including forecast departure, RMS of the forecast departure, number of data counts and for the satellite radiances, bias correction. The observations will include all of the varied conventional observations assimilated in MERRA-2, including temperature and wind from radiosondes and commercial aircraft, surface station pressure, and ship and buoy temperature. There are also numerous satellite retrieved observations in the system such as atmospheric motion vector winds and ocean surface winds. Satellite radiances make up the bulk of assimilated data. These are also provided, by channel and instrument including MLS, ARMS, HIRS, MSU, SSM/I, and AMSU to name a few. These observations and their assimilation statistics will be binned to a regular grid that is similar to MERRA-2, at 6 hourly intervals following the data assimilation cycles. Incorporating the hyperspectral instruments (AIRS and CRIS) presents numerous challenges that we will consider in this project. In addition, MERRA-2 is the first reanalysis to incorporate assimilated and interactive aerosols, so that we will also include the assimilated aerosol optical depth observations (e.g. MODIS and MISR). PI: Michael Bosilovich.

    Meteorology, composition, and mission management support for the Cloud Aerosol Monsoon Processes Philippines Experiment (CAMP2Ex)

    This project is to provide meteorology and aerosol environment support for the Clouds-Aerosol Monsoon Processes Philippines Experiment (CAMP2Ex). The complex physical, observing, and political environment associated with CAMP2Ex will require significant adjustment from previous operating procedures employed in NASA missions. Indeed, the SE Asian Southwest Monsoon hosts what is perhaps the most complex aerosol environment in the world. CAMP2Ex mission success will therefore be dependent on three categories of environmental support: 1) Exhaustive preparation the year before the mission such that the science team understands regional complexity and tools available for directing P3 operations; 2) In flight support, including the use of tools that can simultaneously cope with the complex environment and the likely limited bandwidth available at Subic Bay; 3) Post mission data consolidation and assessment such that experimenters have sufficient environmental context for the meteorology during the mission and what was sampled. Involvement of three integrated groups will expedite the planning and operations. NRL Monterey will lead overall meteorological and aerosol forecasting and analysis. JPL will lead the component on data display and analysis systems. Finally, NASA GMAO will lead the development of an overarching mission chemical reanalysis. In addition to these groups, the proposal team will bring contributions from many operational collaborators. These include the Philippine Meteorology Service (PAGASA) for regional weather, aviation weather and radar; the DoD’s Joint Typhoon Warning Center (JTWC) for typhoon forecasting; Japanese space and meteorology agencies (JAXA and JMA) for geostationary Himiwari-8 data; and the Singapore Meteorological Service for burning region characterization. At the same time, CAMP2Ex investigators will participate and aid in regional science objectives, including collaboration with the Manila Observatory and regional partners in the Year of the Maritime Continent (YMC). Of particular note is the involvement of investigators from the ONR sponsored Propagation of Intra-Seasonal Tropical Oscillations (PISTON) which will allow for significant leverage as they are a meteorology focused team of equal size to CAMP2Ex, and will be operating in the region with the R/V Thompson.  PI: Jeffrey Reid, NRL

    Publications

    Refereed

    Bian, H., K. Froyd, D. M. Murphy, et al. J. Dibb, M. Chin, P. R. Colarco, A. Darmenov, A. da Silva, T. L. Kucsera, G. Schill, H. Yu, P. Bui, M. Dollner, B. Weinzierl, and A. Smirnov. 2019. "Observationally constrained analysis of sea salt aerosol in the marine atmosphere." Atmospheric Chemistry and Physics, 19: 10773-10785 [10.5194/acp-2019-18]

    Pérez-Ramírez, D., D. N. Whiteman, I. Veselovskii, et al. P. Colarco, M. Korenski, and A. da Silva. 2019. "Retrievals of aerosol single scattering albedo by multiwavelength lidar measurements: Evaluations with NASA Langley HSRL-2 during discover-AQ field campaigns." Remote Sensing of Environment, 222: 144-164 [10.1016/j.rse.2018.12.022]

    Xian, P., J. S. Reid, E. J. Hyer, et al. C. R. Sampson, J. I. Rubin, M. Ades, N. Asencio, S. Basart, A. Benedetti, P. Bhattacharjee, M. E. Brooks, P. R. Colarco, A. Da Silva, T. F. Eck, J. Guth, O. Jorba, R. Kouznetsov, Z. Kipling, M. Sofiev, C. P. Carcia‐Pando, Y. Pradhan, T. Tanaka, J. Wang, D. L. Westphal, K. Yumimoto, and J. Zhang. 2019. "Current State of the global operational aerosol multi‐model ensemble: an update from the International Cooperative for Aerosol Prediction (ICAP)." Quarterly Journal of the Royal Meteorological Society, qj.3497 [10.1002/qj.3497]

    Liu, F., S. Choi, C. Li, et al. V. E. Fioletov, C. A. McLinden, J. Joiner, N. A. Krotkov, H. Bian, G. Janssens-Maenhout, A. S. Darmenov, and A. M. da Silva. 2018. "A new global anthropogenic SO2 emission inventory for the last decade: a mosaic of satellite-derived and bottom-up emissions." Atmospheric Chemistry and Physics, 18 (22): 16571-16586 [10.5194/acp-18-16571-2018]

    Hu, L., C. A. Keller, M. S. Long, et al. T. Sherwen, B. Auer, A. Da Silva, J. E. Nielsen, S. Pawson, M. A. Thompson, A. L. Trayanov, K. R. Travis, S. K. Grange, M. J. Evans, and D. J. Jacob. 2018. "Global simulation of tropospheric chemistry at 12.5 km resolution: performance and evaluation of the GEOS-Chem chemical module (v10-1) within the NASA GEOS Earth system model (GEOS-5 ESM)." Geoscientific Model Development, 11 (11): 4603-4620 [10.5194/gmd-11-4603-2018]

    Benedetti, A., J. S. Reid, P. Knippertz, et al. J. H. Marsham, F. Di Giuseppe, S. Rémy, S. Basart, O. Boucher, I. M. Brooks, L. Menut, L. Mona, P. Laj, G. Pappalardo, A. Wiedensohler, A. Baklanov, M. Brooks, P. R. Colarco, E. Cuevas, A. da Silva, J. Escribano, J. Flemming, N. Huneeus, O. Jorba, S. Kazadzis, S. Kinne, T. Popp, P. K. Quinn, T. T. Sekiyama, T. Tanaka, and E. Terradellas. 2018. "Status and future of numerical atmospheric aerosol prediction with a focus on data requirements." Atmospheric Chemistry and Physics, 18 (14): 10615-10643 [10.5194/acp-18-10615-2018]

    Choi, S., N. Theys, R. J. Salawitch, et al. P. A. Wales, J. Joiner, T. P. Canty, K. Chance, R. M. Suleiman, S. P. Palm, R. I. Cullather, A. S. Darmenov, A. da Silva, T. P. Kurosu, F. Hendrick, and M. Van Roozendael. 2018. "Link Between Arctic Tropospheric BrO Explosion Observed From Space and Sea-Salt Aerosols From Blowing Snow Investigated Using Ozone Monitoring Instrument BrO Data and GEOS-5 Data Assimilation System." Journal of Geophysical Research: Atmospheres, 123: [10.1029/2017jd026889]

    Yasunari, T. J., K.-M. Kim, A. M. da Silva, et al. M. Hayasaki, M. Akiyama, and N. Murao. 2018. "Extreme air pollution events in Hokkaido, Japan, traced back to early snowmelt and large-scale wildfires over East Eurasia: Case studies." Scientific Reports, 8 (1): 6413 [10.1038/s41598-018-24335-w]

    Nowottnick, E. P., P. R. Colarco, S. A. Braun, et al. D. O. Barahona, A. da Silva, D. L. Hlavka, M. J. McGill, and J. R. Spackman. 2018. "Dust Impacts on the 2012 Hurricane Nadine Track during the NASA HS3 Field Campaign." Journal of the Atmospheric Sciences, JAS-D-17-0237.1 [10.1175/jas-d-17-0237.1]

    Veselovskii, I., P. Goloub, T. Podvin, et al. D. Tanre, A. da Silva, P. Colarco, P. Castellanos, M. Korenskiy, Q. Hu, D. N. Whiteman, D. Pérez-Ramírez, P. Augustin, M. Fourmentin, and A. Kolgotin. 2018. "Characterization of smoke and dust episode over West Africa: comparison of MERRA-2 modeling with multiwavelength Mie–Raman lidar observations." Atmospheric Measurement Techniques, 11 (2): 949-969 [10.5194/amt-11-949-2018]

    Nielsen, J. E., S. Pawson, A. Molod, et al. B. Auer, A. M. da Silva, A. R. Douglass, B. Duncan, Q. Liang, M. Manyin, L. D. Oman, W. Putman, S. E. Strahan, and K. Wargan. 2017. "Chemical Mechanisms and Their Applications in the Goddard Earth Observing System (GEOS) Earth System Model." Journal of Advances in Modeling Earth Systems, [10.1002/2017ms001011]

    Sullivan, R. C., R. C. Levy, A. M. da Silva, and S. C. Pryor. 2017. "Developing and diagnosing climate change indicators of regional aerosol optical properties." Scientific Reports, 7 (1): 18093 [10.1038/s41598-017-18402-x]

    Colarco, P. R., S. Gassó, C. Ahn, et al. V. Buchard, A. M. da Silva, and O. Torres. 2017. "Simulation of the Ozone Monitoring Instrument aerosol index using the NASA Goddard Earth Observing System aerosol reanalysis products." Atmospheric Measurement Techniques, 10 (11): 4121-4134 [10.5194/amt-10-4121-2017]

    Randles, C. A., A. M. da Silva, V. Buchard, et al. P. R. Colarco, A. Darmenov, R. Govindaraju, A. Smirnov, B. Holben, R. Ferrare, J. Hair, Y. Shinozuka, and C. J. Flynn. 2017. "The MERRA-2 Aerosol Reanalysis, 1980 – onward, Part I: System Description and Data Assimilation Evaluation." Journal of Climate, 30 (17): 6823-6850 [10.1175/jcli-d-16-0609.1]

    Buchard, V., C. A. Randles, A. M. da Silva, et al. A. Darmenov, P. R. Colarco, R. Govindaraju, R. Ferrare, J. Hair, A. J. Beyersdorf, L. D. Ziemba, and H. Yu. 2017. "The MERRA-2 Aerosol Reanalysis, 1980 -- onward, Part II: Evaluation and Case Studies." Journal of Climate, JCLI-D-16-0613.1 [10.1175/jcli-d-16-0613.1]

    Gelaro, R., W. McCarty, M. J. Suárez, et al. R. Todling, A. Molod, L. Takacs, C. Randles, A. Darmenov, M. G. Bosilovich, R. Reichle, K. Wargan, L. Coy, R. Cullather, C. Draper, S. Akella, V. Buchard, A. Conaty, A. da Silva, W. Gu, G.-K. Kim, R. Koster, R. Lucchesi, D. Merkova, J. E. Nielsen, G. Partyka, S. Pawson, W. Putman, M. Rienecker, S. D. Schubert, M. Sienkiewicz, and B. Zhao. 2017. "The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2)." Journal of Climate, 30: 5419–5454 [10.1175/jcli-d-16-0758.1]

    Yasunari, T. J., M. Niwano, Y. Fujiyoshi, et al. A. Shimizu, M. Hayasaki, T. Aoki, A. M. da Silva, B. N. Holben, S. Matoba, N. Murao, S. Yamagata, and K.-M. Kim. 2017. "An Unreported Asian Dust (Kosa) Event in Hokkaido, Japan: A Case Study of 7 March 2016." SOLA, 13 (0): 96-101 [10.2151/sola.2017-018]

    Provençal, S., V. Buchard, A. M. da Silva, et al. R. Leduc, N. Barrette, E. Elhacham, and S.-H. Wang. 2017. "Evaluation of PM2. 5 Surface Concentrations Simulated by Version 1 of NASA’s MERRA Aerosol Reanalysis over Israel and Taiwan." Aerosol and Air Quality Research, 17 (1): 253--261 [10.4209/aaqr.2016.04.0145]

    Hughes, E. J., J. Yorks, N. A. Krotkov, A. M. da Silva, and M. McGill. 2016. "Using CATS Near-Realtime Lidar Observations to Monitor and Constrain Volcanic Sulfur Dioxide (SO2) Forecasts." Geophysical Research Letters, [10.1002/2016gl070119]

    Wind, G., A. M. da Silva, P. M. Norris, et al. S. Platnick, S. Mattoo, and R. C. Levy. 2016. "Multi-sensor cloud and aerosol retrieval simulator and remote sensing from model parameters – Part 2: Aerosols." Geosci. Model Dev., 9 (7): 2377-2389 [10.5194/gmd-9-2377-2016]

    Norris, P. M., and A. M. da Silva. 2016. "Monte Carlo Bayesian inference on a statistical model of sub-gridcolumn moisture variability using high-resolution cloud observations. Part 2: Sensitivity tests and results." Q.J.R. Meteorol. Soc., 142 (699): 2528-2540 [10.1002/qj.2844]

    Norris, P. M., and A. M. da Silva. 2016. "Monte Carlo Bayesian inference on a statistical model of sub-gridcolumn moisture variability using high-resolution cloud observations. Part 1: Method." Q.J.R. Meteorol. Soc., 142 (699): 2505-2527 [10.1002/qj.2843]

    Theurich, G., C. DeLuca, T. Campbell, et al. F. Liu, K. Saint, M. Vertenstein, J. Chen, R. Oehmke, J. Doyle, T. Whitcomb, A. Wallcraft, M. Iredell, T. Black, A. M. Da Silva, T. Clune, R. Ferraro, P. Li, M. Kelley, I. Aleinov, V. Balaji, N. Zadeh, R. Jacob, B. Kirtman, F. Giraldo, D. McCarren, S. Sandgathe, S. Peckham, and R. Dunlap. 2016. "The Earth System Prediction Suite: Toward a Coordinated U.S. Modeling Capability." Bulletin of the American Meteorological Society, 97 (7): 1229-1247 [10.1175/bams-d-14-00164.1]

    Lu, C.-H., A. da Silva, J. Wang, et al. S. Moorthi, M. Chin, P. Colarco, Y. Tang, P. S. Bhattacharjee, S.-P. Chen, H.-Y. Chuang, H.-M. H. Juang, J. McQueen, and M. Iredell. 2016. "The implementation of NEMS GFS Aerosol Component (NGAC) Version 1.0 for global dust forecasting at NOAA/NCEP." Geosci. Model Dev., 9 (5): 1905-1919 [10.5194/gmd-9-1905-2016]

    Buchard, V., A. da Silva, C. Randles, et al. P. Colarco, R. Ferrare, J. Hair, C. Hostetler, J. Tackett, and D. Winker. 2016. "Evaluation of the surface PM2.5 in Version 1 of the NASA MERRA Aerosol Reanalysis over the United States." Atmospheric Environment, 125 (Part A): 100-111 [10.1016/j.atmosenv.2015.11.004]

    Yasunari, T. J., P. R. Colarco, W. K. Lau, et al. K. Osada, M. Kido, S. P. Mahanama, K.-M. Kim, and A. M. Da Silva. 2016. "Total dust deposition flux during precipitation in Toyama, Japan, in the spring of 2009: A sensitivity analysis with the NASA GEOS-5 Model." Atmospheric Research, 167: 298–313 [10.1016/j.atmosres.2015.08.005]

    Randles, C. A., A. M. Da Silva, V. J. Buchard, et al. A. S. Darmenov, P. R. Colarco, V. Aquila, H. Bian, E. P. Nowottnick, X. Pan, H. Yu, and R. C. Govindaraju. 2016. "The MERRA-2 Aerosol Assimilation." Technical Report Series on Global Modeling and Data Assimilation, 45:

    Nowottnick, E. P., P. R. Colarco, E. J. Welton, and A. M. Da Silva. 2015. "Use of the CALIOP vertical feature mask for evaluating global aerosol models." Atmospheric Measurement Techniques, 8: 3647-3669 [10.5194/amt-8-3647-2015]

    Kouatchou, J., A. Da Silva, and A. Oloso. 2015. "SIVO-PyD: A Python Distribution for Scientific Computing Visualization." NASA Tech Brief GSC-16530-1, [Full Text (Link)]

    Kishcha, P., A. da Silva, B. Starobinets, et al. C. Long, O. Kalashnikova, and P. Alpert. 2015. "Saharan dust as a causal factor of hemispheric asymmetry in aerosols and cloud cover over the tropical Atlantic Ocean." International Journal of Remote Sensing, 36 (13): 3423-3445 [10.1080/01431161.2015.1060646]

    Buchard, V. J., A. M. Da Silva, P. R. Colarco, et al. A. S. Darmenov, C. A. Randles, R. C. Govindaraju, O. Torres, J. Campbell, and R. Spurr. 2015. "Using the OMI aerosol index and absorption aerosol optical depth to evaluate the NASA MERRA Aerosol Reanalysis ." Atmos. Chem. Phys., 15: 5743-5760 [10.5194/acp-15-5743-2015]

    Bosilovich, M. G., J.-D. Chern, D. M. Mocko, F. R. Robertson, and A. M. da Silva. 2015. "Evaluating observation influence on regional water budgets in reanalyses." J. Climate, 28 (9): 3631-3649 [10.1175/JCLI-D-14-00623.1]

    Huang, M., K. W. Bowman, G. R. Carmichael, et al. M. Lee, T. Chai, S. N. Spak, D. K. Henze, A. S. Darmenov, and A. M. da Silva. 2015. "Improved western U.S. background ozone estimates via constraining nonlocal and local source contributions using Aura TES and OMI observations." J. Geophys. Res. Atmos., 120 (8): 3572-3592 [10.1002/2014jd022993]

    Long, M. S., R. Yantosca, J. E. Nielsen, et al. C. A. Keller, A. da Silva, M. P. Sulprizio, S. Pawson, and D. J. Jacob. 2015. "Development of a grid-independent GEOS-Chem chemical transport model (v9-02) as an atmospheric chemistry module for Earth system models." Geosci. Model Dev., 8 (3): 595-602 [10.5194/gmd-8-595-2015]

    Sessions, W. R., J. S. Reid, A. Benedetti, et al. P. R. Colarco, A. da Silva, S. Lu, T. Sekiyama, T. Y. Tanaka, J. M. Baldasano, S. Basart, M. E. Brooks, T. F. Eck, M. Iredell, J. A. Hansen, O. C. Jorba, H.-M. H. Juang, P. Lynch, J.-J. Morcrette, S. Moorthi, J. Mulcahy, Y. Pradhan, M. Razinger, C. B. Sampson, J. Wang, and D. L. Westphal. 2015. "Corrigendum to "Development towards a global operational aerosol consensus: basic climatological characteristics of the International Cooperative for Aerosol Prediction Multi-Model Ensemble (ICAP-MME)" published in Atmos. Chem. Phys., 15, 335–362, 2015." Atmos. Chem. Phys., 15 (5): 2533-2534 [10.5194/acp-15-2533-2015]

    Bingqi Yi, Ping Yang, A. Dessler, and A. M. da Silva. 2015. "Response of Aerosol Direct Radiative Effect to the East Asian Summer Monsoon." IEEE Geosci. Remote Sensing Lett., 12 (3): 597-600 [10.1109/lgrs.2014.2352630]

    Barre, J., D. Edwards, H. Worden, A. M. Da Silva, and W. A. Lahoz. 2015. "On the feasibility of monitoring Carbon Monoxide in the lower troposphere from a constellation of Northern Hemisphere geostationary satellites. (Part 1)." Atmos. Environ, 113: 63-77 [10.1016/j.atmosenv.2015.04.069]

    Saide, P., D. A. Peterson, A. da Silva, et al. B. Anderson, L. D. Ziemba, G. Diskin, G. Sachse, J. Hair, C. Butler, M. Fenn, J. L. Jimenez, P. Campuzano-Jost, A. E. Perring, J. P. Schwarz, M. Z Markovic, P. Russell, J. Redemann, Y. Shinozuka, D. G. Streets, F. Yan, J. Dibb, R. Yokelson, O. B. Toon, E. Hyer, and G. R. Carmichael. 2015. "Revealing important nocturnal and day-to-day variations in fire smoke emissions through a multiplatform inversion." Geophys. Res. Lett, 42: 3609-3618 [10.1002/2015GL063737]

    Sessions, W., J. S. Reid, A. Benedetti, et al. P. Colarco, A. da Silva, S. Lu, T. Sekiyama, T. Y. Tanaka, J. M. Baldasano, S. Basart, M. Brooks, T. F. Eck, M. Iredell, J. A. Hansen, O. Jorba, H.-M. Juang, P. Lynch, J.-J. Morcrette, S. Moorthi, J. Mulcahy, Y. Pradhan, M. Razinger, C. B. Sampson, J. Wang, and D. L. Westphal. 2015. "Development towards a global operational aerosol consensus: Basic climatological characteristics of the International Cooperative for Aerosol Prediction Multi-Model Ensemble (ICAP-MME)." Atmos. Chem. Phys, 15: 335-362 [10.5194/acp-15-335-2015]

    Saide, P. E., S. N. Spak, R. B. Pierce, et al. J. A. Otkin, T. K. Schaack, A. K. Heidinger, A. M. da Silva, M. Kacenelenbogen, J. Redemann, and G. R. Carmichael. 2015. "Central American biomass burning smoke can increase tornado severity in the U.S." Geophys. Res. Lett, 42: 956-965 [10.1002/2014GL062826]

    Zhang, F., J. Wang, C. M. Ichoku, et al. E. J. Hyer, Z. Yang, C. Ge, S. Su, X. Zhang, S. Kondragunta, J. W. Kaiser, C. Wiedinmyer, and A. M. Da Silva. 2014. "Sensitivity of mesoscale modeling of smoke direct radiative effect to the emission inventory: a case study in northern sub-Saharan African region." Environmental Research Letters, 9 (7): 075002 (14 pp) [10.1088/1748-9326/9/7/075002]

    Keller, C. A., M. S. Long, R. M. Yantosca, et al. A. M. Da Silva, S. Pawson, and D. J. Jacob. 2014. "HEMCO v1.0: a versatile, ESMF-compliant component for calculating emissions in atmospheric models." Geoscientific Model Development, 7 (4): 1409-1417 [10.5194/gmd-7-1409-2014]

    Kishcha, P., A. M. Da Silva, B. Starobinets, and P. Alpert. 2014. "Air pollution over the Ganges basin and northwest Bay of Bengal in the early postmonsoon season based on NASA MERRAero data." J. Geophys. Res. Atmos., 119 (3): 1555-1570 [10.1002/2013JD020328]

    Buchard, V. J., A. M. Da Silva, P. R. Colarco, et al. N. A. Krotkov, R. R. Dickerson, J. W. Stehr, G. Mount, E. Spinei, H. L. Arkinson, and H. He. 2014. "Evaluation of GEOS-5 sulfur dioxide simulations during the Frostburg, MD 2010 field campaign." Atmos. Chem. Phys., 14 (4): 1929-1941 [10.5194/acp-14-1929-2014]

    Yasunari, T., W. K. Lau, P. R. Colarco, et al. A. M. Da Silva, T. Aoki, K. Aoki, N. Murao, S. Yamagata, Y. Kodama, and S. P. Mahanama. 2014. "The GOddard SnoW Impurity Module (GOSWIM) for the NASA GEOS-5 Earth System Model: Preliminary Comparisons with Observations in Sapporo, Japan." SOLA, 10 (0): 50-56 [10.2151/sola.2014-011]

    Matsui, T., C. M. Ichoku, C. A. Randles, et al. T. L. Yuan, A. M. Da Silva, P. R. Colarco, D. Kim, R. C. Levy, A. M. Sayer, M. Chin, D. Giles, B. N. Holben, E. J. Welton, T. F. Eck, and L. A. Remer. 2014. "Current and Future Perspectives of Aerosol Research at NASA Goddard Space Flight Center." Bulletin of the American Meteorological Society, early view [10.1175/ BAMS-D-13-00153.1]

    Reale, O., W. K. Lau, A. M. Da Silva, and T. Matsui. 2014. "Impact of assimilated and interactive aerosol on tropical cyclogenesis." Geophys. Res. Lett, 41 (9): 3282-3288 [10.1002/2014GL059918]

    Gupta, P., M. Khan, A. M. Da Silva, and F. Patadia. 2013. "MODIS aerosol optical depth observations over urban areas in Pakistan: Quantity and quality of the data for air quality monitoring." Atmospheric Pollution Research, 4 (1): 43-52 [10.5094/APR.2013.005]

    Palmer, P., M. Parrington, J. Lee, S. Pawson, and A. da Silva. 2013. "Quantifying the impact of BOReal forest fires on Tropospheric oxidants over the Atlantic using Aircraft and Satellites (BORTAS) experiment: design, execution and science overview." Atmos. Chem. Phys., 13 (13): 6239-6261 [10.5194/acp-13-6239-2013]

    Guan, B., D. E. Waliser, J.-L. F. Li, and A. da Silva. 2013. "Evaluating the impact of orbital sampling on satellite-climate model comparisons." J. Geophys. Res. Atmos., 118 (2): 355-369 [10.1029/2012JD018590]

    Bian, H., P. R. Colarco, M. Chin, et al. G. Chen, J. M. Rodriguez, Q. Liang, D. Blake, D.-C. A. Chu, A. M. Da Silva, A. S. Darmenov, G. Diskin, H. E. Fuelberg, G. Huey, Y. Kondo, J. E. Nielsen, X. Pan, and A. Wisthaler. 2013. "Source attributions of pollution to the Western Arctic during the NASA ARCTAS field campaign." Atmos. Chem. Phys., 13 (9): 4707-4721 [10.5194/acp-13-4707-2013]

    Gorkavyi, N., D. Rault, P. Newman, A. M. Da Silva, and A. E. Dudorov. 2013. "New stratospheric dust belt due to the Chelyabinsk bolide." Geophys. Res. Lett, 40 (17): 4728-4733 [10.1002/grl.50788]

    Wind, G., A. M. Da Silva, P. M. Norris, and S. E. Platnick. 2013. "Multi-sensor cloud retrieval simulator and remote sensing from model parameters – Part 1: Synthetic sensor radiance formulation." Geosci. Model Dev., 6 (6): 2049-2062 [10.5194/gmd-6-2049-2013]

    Randles, C. A., P. R. Colarco, and A. M. Da Silva. 2013. "Direct and semi-direct aerosol effects in the NASA GEOS-5 AGCM: aerosol-climate interactions due to prognostic versus prescribed aerosols." J. Geophys. Res. Atmos., 118 (1): 149–169 [10.1029/2012JD018388]

    Choi, S., Y. Wang, R. J. Salawitch, et al. T. Canty, J. Joiner, T. Zeng, T. P. Kurosu, K. Chance, A. Richter, L. G. Huey, J. Liao, J. A. Neuman, J. B. Nowak, J. E. Dibb, A. J. Weinheimer, G. Diskin, T. B. Ryerson, A. da Silva, J. Curry, D. Kinnison, S. Tilmes, and P. F. Levelt. 2012. "Analysis of satellite-derived Arctic tropospheric BrO columns in conjunction with aircraft measurements during ARCTAS and ARCPAC." Atmos. Chem. Phys., 12 (3): 1255-1285 [10.5194/acp-12-1255-2012]

    Witte, J. C., A. R. Douglass, A. da Silva, et al. O. Torres, R. Levy, and B. N. Duncan. 2011. "NASA A-Train and Terra observations of the 2010 Russian wildfires." Atmos. Chem. Phys., 11 (17): 9287-9301 [10.5194/acp-11-9287-2011]

    Van Donkelaar, A., R. V. Martin, R. C. Levy, et al. A. M. Da Silva, M. Krzyzanowski, N. E. Chubarova, E. Semutnikova, and A. J. Cohen. 2011. "Satellite-based estimates of ground-level fine particulate matter during extreme events: A case study of the Moscow fires in 2010." Atmospheric Environment, 45 (34): 6225-6232 [10.1016/j.atmosenv.2011.07.068]

    Rienecker, M. M., M. J. Suarez, R. Gelaro, et al. R. Todling, J. Bacmeister, E. Liu, M. G. Bosilovich, S. D. Schubert, L. Takacs, G.-K. Kim, S. Bloom, J. Chen, D. Collins, A. Conaty, A. da Silva, W. Gu, J. Joiner, R. D. Koster, R. Lucchesi, A. Molod, T. Owens, S. Pawson, P. Pegion, C. R. Redder, R. H. Reichle, F. R. Robertson, A. G. Ruddick, M. Sienkiewicz, and J. Woollen. 2011. "MERRA: NASA’s Modern-Era Retrospective Analysis for Research and Applications." J. Climate, 24 (14): 3624-3648 [10.1175/JCLI-D-11-00015.1]

    Nowottnick, E., P. R. Colarco, A. M. Da Silva, D. L. Hlavka, and M. J. Mcgill. 2011. "The fate of Saharan dust across the Atlantic and implications for a Central American dust barrier." Atmos. Chem. Phys., 11 (16): 8415-8431 [10.5194/acp-11-8415-2011]

    Reale, O., W. K. Lau, and A. M. Da Silva. 2011. "Impact of Interactive Aerosol on the African Easterly Jet in the NASA GEOS-5 Global Forecasting System." Weather and Forecasting, 26 (4): 504-519 [10.1175/WAF-D-10-05025.1]

    Salawitch, R. J., T. Canty, T. Kurosu, et al. K. Chance, Q. Liang, A. M. Da Silva, S. Pawson, J. E. Nielsen, J. M. Rodriguez, and P. K. Bhartia. 2010. "A new interpretation of total column BrO during Arctic spring." Geophysical Research Letters, 37 (21): L21805 [10.1029/2010GL043798]

    Wong, S., A. E. Dessler, N. M. Mahowald, P. R. Colarco, and A. da Silva. 2008. "Long-term variability in Saharan dust transport and its link to North Atlantic sea surface temperature." Geophysical Research Letters, 35 (7): [10.1029/2007gl032297]

    Zhou, S., V. Balaji, C. A. Cruz, et al. A. M. Da Silva, C. Hill, E. Kluzek, S. Smithline, and A. L. Trayanov. 2007. "Cross-organization interoperability experiments of weather and climate models with the Earth System Modeling Framework." Concurrency and Computation: Practice and Experience, 19 (5): 583–592 [Full Text (Link)] [10.1002/cpe.1120]

    Weaver, C. J., A. M. Da Silva, M. Chin, et al. P. Ginoux, O. Dubovik, D. Flittner, A. Zia, L. A. Remer, B. N. Holben, and W. Gregg. 2007. "Direct insertion of MODIS radiances in a global aerosol transport model." J Atmos Sci, 64 (3): 808-826 [10.1175/JAS3838.1]

    Joiner, J., E. Brin, R. Treadon, et al. J. Derber, P. Van Delst, A. M. da Silva, J. Le Marshall, P. Poli, D. Atlas, D. R. Bungato, and C. Cruz. 2007. "Effects of data selection and error specification on the assimilation of AIRS data." Quart J Roy Meteor Soc, 133 (622): 181-196 [10.1002/qj.8]

    Norris, P. M., and A. M. da Silva. 2007. "Assimilation of Satellite Cloud Data into the GMAO Finite-Volume Data Assimilation System Using a Parameter Estimation Method. Part I: Motivation and Algorithm Description." J. Atmos. Sci., 64 (11): 3880-3895 [10.1175/2006JAS2046.1]

    Bosilovich, M. G., J. Radakovich, A. M. Da Silva, R. Todling, and F. Verter. 2007. "Skin Temperature Analysis and Bias Correction in a Coupled Land-Atmosphere Data Assimilation System." Journal of the Meteorological Society of Japan, 85A:

    Tan, W. W., M. A. Geller, S. Pawson, and A. da Silva. 2004. "A case study of excessive subtropical transport in the stratosphere of a data assimilation system." J. Geophys. Res., 109 (D11): D11102 [10.1029/2003JD004057]

    Yang, R., S. Cohn, A. da Silva, J. Joiner, and P. R. Houser. 2003. "Tangent linear analysis of the Mosaic land surface model." J. Geophys. Res., 108 (D2): 4054 [10.1029/2002JD002410]

    Dee, D. P., and A. da Silva. 2003. "The Choice of Variable for Atmospheric Moisture Analysis." Mon. Wea. Rev., 131 (1): 155-171 [10.1175/1520-0493(2003)131<0155:TCOVFA>2.0.CO;2]

    Coy, L., I. Stajner, A. M. da Silva, et al. J. Joiner, R. B. Rood, P. Pawson, and S. J. Lin. 2003. "High-Frequency Planetary Waves in the Polar Middle Atmosphere as Seen in a Data Assimilation System." J. Atmos. Sci., 60 (24): 2975-2992 [10.1175/1520-0469(2003)060<2975:HPWITP>2.0.CO;2]

    Yang, R., S. E. Cohn, A. da Silva, J. Joiner, and P. Houser. 2003. "Tangent linear analysis of the Mosaic land surface model." J Geophys Res, 108 (D2): 12-1 - 12-16.

    Dee, D. P., L. Rukhovets, R. Todling, A. M. da Silva, and J. W. Larson. 2001. "An adaptive buddy check for observational quality control." Quarterly Journal of the Royal Meteorological Society, 127 (577): 2451-2471 [10.1002/qj.49712757714]

    Hou, A. Y., S. Zhang, A. M. da Silva, et al. W. S. Olson, C. Kummerow, and J. Simpson. 2001. "Improving global analysis and short-range forecast using rainfall and moisture observations derived from TRMM and SSM/I passive microwave instruments." Bull Amer Meteor Soc, 82: 659-679.

    Hou, A. Y., D. Ledvina, A. M. Da Silva, et al. S. Zhang, J. Joiner, R. Atlas, G. J. Huffman, and C. Kummerow. 2000. "Assimilation of SSM/I-Derived Surface Rainfall and Total Precipitable Water for Improving the GEOS Analysis for Climate Studies." Mon. Wea. Rev., 128 (3): 509-537 [10.1175/1520-0493(2000)128<0509:AOSIDS>2.0.CO;2]

    Joiner, J., and A. M. Da Silva. 1998. "Efficient Methods to Assimilate Satellite Retrievals Based on Information Content." Q.J.R. Meteorol. Soc., 125 (549): 1669-1694 [10.1002/qj.49712454915]

    Cohn, S. E., A. Da Silva, J. Guo, M. Sienkiewicz, and D. Lamich. 1998. "Assessing the Effects of Data Selection with the DAO Physical-Space Statistical Analysis System*." Monthly Weather Review, 126 (11): 2913--2926.

    Non-Refereed

    Kim, J. G., S. R. Akella, A. M. Da Silva, R. Todling, and W. R. Mccarty. 2018. "Preliminary evaluation of influence of aerosols on the simulation of brightness temperature in the NASA’s Goddard Earth Observing System Atmospheric Data Assimilation System." NASA Technical Report Series on Global Modeling and Data Assimilation, NASA/TM-2018-104606 49: 44pp [Full Text (Link)]

    Errico, R. M., N. C. Prive, D. Carvalho, et al. M. E. Sienkiewicz, A. El Akkraoui, J. Guo, R. Todling, W. R. Mccarty, W. M. Putman, A. M. Da Silva, R. Gelaro, and I. Moradi. 2017. "Description of the GMAO OSSE for Weather Analysis Software Package: Version 3." NASA Technical Report Series on Global Modeling and Data Assimilation, NASA/TM-2017-104606 48: 156 pp. [Full Text (Link)]

    Darmenov, A. S., and A. M. Da Silva. 2015. "The Quick Fire Emissions Dataset (QFED): Documentation of versions 2.1, 2.2 and 2.4." NASA Technical Report Series on Global Modeling and Data Assimilation 38 (NASA/TM–2015–104606):

    Davies, D. K., K. J. Murphy, K. Michael, et al. I. Becker-Reshef, C. O. Justice, R. A. Boller, S. A. Braun, J. E. Schmaltz, M. Wong, A. N. Pasch, T. S. Dye, A. M. Da Silva, H. M. Goodman, and P. J. Morin. 2015. "The Use of NASA LANCE Imagery and Data for Near Real-Time Applications." Time-Sensitive Remote Sensing New York: 165-182, ISBN: 978-1-4939-2601-5. [10.1007/978-1-4939-2602-2_11]

    Gelaro, R., W. M. Putman, S. Pawson, et al. C. S. Draper, A. M. Molod, P. M. Norris, L. E. Ott, N. C. Privé, O. Reale, D. Achuthavarier, M. G. Bosilovich, V. J. Buchard, W. C. Chao, L. Coy, R. I. Cullather, A. M. Da Silva, A. S. Darmenov, R. M. Errico, M. Fuentes, M.-J. Kim, R. D. Koster, W. R. Mccarty, J. Nattala, G. S. Partyka, S. D. Schubert, G. R. Vernieres, Y. V. Vikhliaev, and K. Wargan. 2015. "Evaluation of the 7-km GEOS-5 Nature Run." NASA Technical Report Series on Global Modeling and Data Assimilation 36 (NASA/TM-2014-104606):

    Brief Bio

    Dr. Arlindo da Silva is a Research Meteorologist at the Global Modeling and Assimilation Office (GMAO, formerly DAO), NASA/Goddard Space Flight Center, where he has worked since 1994. Prior to joining the GMAO, Dr. da Silva held a faculty position at the University of Wisconsin-Milwaukee from 1990-1993, and was a Visiting Scientist at Princeton University/Geophysical Fluid Dynamics Laboratory from 1989-1990.

    Originally trained as a physicist and atmospheric dynamicist, Dr. da Silva’s research has spanned a number of related topics in the last decades: dynamics of stationary and transient atmospheric waves, numerical modeling of Lake Michigan, estimation of fluxes of heat, momentum, and fresh water fluxes over the global oceans, climate diagnostics, including aerosol forcing of climate, hydrological cycle of the subtropics and Amazon basin and data assimilation. Since joining GSFC Dr. da Silva’s research has focused on techniques for 4-dimensional data assimilation, including physical-space analysis systems, error covariance modeling, forecast bias estimation and correction, quality control of observations, land-surface, precipitation, aerosol and constituent data assimilation. Dr. da Silva was the lead developer for the Physical-space Statistical Analysis System (PSAS), GEOS-4 atmospheric data assimilation system, the Quick Fire Emission Dataset (QFED), and the Goddard Aerosol Assimilation System within GEOS. Dr. da Silva was the data assimilation PI for the original Earth System Modeling Framework (ESMF) project and currently serves in the ESMF executive board. From 2014  to 2018 Dr. da Silva served as the Science Study Lead for the Aerosol-Cloud-Ecosystems (ACE) Decadal Survey Pre-formulation Study.  Currently, Dr. da Silva is the GSFC Science co-lead for the Aerosols and Clouds-Convection-Precipitation Decadal Survey Pre-formulation Study. 

    Dr. da Silva has been active in the open source software community being the founder and main developer of the OpenGrADS Project (http://opengrads.org).

    Publications

    Refereed

    Bian, H., K. Froyd, D. M. Murphy, et al. J. Dibb, M. Chin, P. R. Colarco, A. Darmenov, A. da Silva, T. L. Kucsera, G. Schill, H. Yu, P. Bui, M. Dollner, B. Weinzierl, and A. Smirnov. 2019. "Observationally constrained analysis of sea salt aerosol in the marine atmosphere." Atmospheric Chemistry and Physics 19 10773-10785 [10.5194/acp-2019-18]

    Pérez-Ramírez, D., D. N. Whiteman, I. Veselovskii, et al. P. Colarco, M. Korenski, and A. da Silva. 2019. "Retrievals of aerosol single scattering albedo by multiwavelength lidar measurements: Evaluations with NASA Langley HSRL-2 during discover-AQ field campaigns." Remote Sensing of Environment 222 144-164 [10.1016/j.rse.2018.12.022]

    Xian, P., J. S. Reid, E. J. Hyer, et al. C. R. Sampson, J. I. Rubin, M. Ades, N. Asencio, S. Basart, A. Benedetti, P. Bhattacharjee, M. E. Brooks, P. R. Colarco, A. Da Silva, T. F. Eck, J. Guth, O. Jorba, R. Kouznetsov, Z. Kipling, M. Sofiev, C. P. Carcia‐Pando, Y. Pradhan, T. Tanaka, J. Wang, D. L. Westphal, K. Yumimoto, and J. Zhang. 2019. "Current State of the global operational aerosol multi‐model ensemble: an update from the International Cooperative for Aerosol Prediction (ICAP)." Quarterly Journal of the Royal Meteorological Society qj.3497 [10.1002/qj.3497]

    Liu, F., S. Choi, C. Li, et al. V. E. Fioletov, C. A. McLinden, J. Joiner, N. A. Krotkov, H. Bian, G. Janssens-Maenhout, A. S. Darmenov, and A. M. da Silva. 2018. "A new global anthropogenic SO2 emission inventory for the last decade: a mosaic of satellite-derived and bottom-up emissions." Atmospheric Chemistry and Physics 18 (22): 16571-16586 [10.5194/acp-18-16571-2018]

    Hu, L., C. A. Keller, M. S. Long, et al. T. Sherwen, B. Auer, A. Da Silva, J. E. Nielsen, S. Pawson, M. A. Thompson, A. L. Trayanov, K. R. Travis, S. K. Grange, M. J. Evans, and D. J. Jacob. 2018. "Global simulation of tropospheric chemistry at 12.5&thinsp;km resolution: performance and evaluation of the GEOS-Chem chemical module (v10-1) within the NASA GEOS Earth system model (GEOS-5 ESM)." Geoscientific Model Development 11 (11): 4603-4620 [10.5194/gmd-11-4603-2018]

    Benedetti, A., J. S. Reid, P. Knippertz, et al. J. H. Marsham, F. Di Giuseppe, S. Rémy, S. Basart, O. Boucher, I. M. Brooks, L. Menut, L. Mona, P. Laj, G. Pappalardo, A. Wiedensohler, A. Baklanov, M. Brooks, P. R. Colarco, E. Cuevas, A. da Silva, J. Escribano, J. Flemming, N. Huneeus, O. Jorba, S. Kazadzis, S. Kinne, T. Popp, P. K. Quinn, T. T. Sekiyama, T. Tanaka, and E. Terradellas. 2018. "Status and future of numerical atmospheric aerosol prediction with a focus on data requirements." Atmospheric Chemistry and Physics 18 (14): 10615-10643 [10.5194/acp-18-10615-2018]

    Choi, S., N. Theys, R. J. Salawitch, et al. P. A. Wales, J. Joiner, T. P. Canty, K. Chance, R. M. Suleiman, S. P. Palm, R. I. Cullather, A. S. Darmenov, A. da Silva, T. P. Kurosu, F. Hendrick, and M. Van Roozendael. 2018. "Link Between Arctic Tropospheric BrO Explosion Observed From Space and Sea-Salt Aerosols From Blowing Snow Investigated Using Ozone Monitoring Instrument BrO Data and GEOS-5 Data Assimilation System." Journal of Geophysical Research: Atmospheres 123 [10.1029/2017jd026889]

    Yasunari, T. J., K.-M. Kim, A. M. da Silva, et al. M. Hayasaki, M. Akiyama, and N. Murao. 2018. "Extreme air pollution events in Hokkaido, Japan, traced back to early snowmelt and large-scale wildfires over East Eurasia: Case studies." Scientific Reports 8 (1): 6413 [10.1038/s41598-018-24335-w]

    Nowottnick, E. P., P. R. Colarco, S. A. Braun, et al. D. O. Barahona, A. da Silva, D. L. Hlavka, M. J. McGill, and J. R. Spackman. 2018. "Dust Impacts on the 2012 Hurricane Nadine Track during the NASA HS3 Field Campaign." Journal of the Atmospheric Sciences JAS-D-17-0237.1 [10.1175/jas-d-17-0237.1]

    Veselovskii, I., P. Goloub, T. Podvin, et al. D. Tanre, A. da Silva, P. Colarco, P. Castellanos, M. Korenskiy, Q. Hu, D. N. Whiteman, D. Pérez-Ramírez, P. Augustin, M. Fourmentin, and A. Kolgotin. 2018. "Characterization of smoke and dust episode over West Africa: comparison of MERRA-2 modeling with multiwavelength Mie–Raman lidar observations." Atmospheric Measurement Techniques 11 (2): 949-969 [10.5194/amt-11-949-2018]

    Nielsen, J. E., S. Pawson, A. Molod, et al. B. Auer, A. M. da Silva, A. R. Douglass, B. Duncan, Q. Liang, M. Manyin, L. D. Oman, W. Putman, S. E. Strahan, and K. Wargan. 2017. "Chemical Mechanisms and Their Applications in the Goddard Earth Observing System (GEOS) Earth System Model." Journal of Advances in Modeling Earth Systems [10.1002/2017ms001011]

    Sullivan, R. C., R. C. Levy, A. M. da Silva, and S. C. Pryor. 2017. "Developing and diagnosing climate change indicators of regional aerosol optical properties." Scientific Reports 7 (1): 18093 [10.1038/s41598-017-18402-x]

    Colarco, P. R., S. Gassó, C. Ahn, et al. V. Buchard, A. M. da Silva, and O. Torres. 2017. "Simulation of the Ozone Monitoring Instrument aerosol index using the NASA Goddard Earth Observing System aerosol reanalysis products." Atmospheric Measurement Techniques 10 (11): 4121-4134 [10.5194/amt-10-4121-2017]

    Randles, C. A., A. M. da Silva, V. Buchard, et al. P. R. Colarco, A. Darmenov, R. Govindaraju, A. Smirnov, B. Holben, R. Ferrare, J. Hair, Y. Shinozuka, and C. J. Flynn. 2017. "The MERRA-2 Aerosol Reanalysis, 1980 – onward, Part I: System Description and Data Assimilation Evaluation." Journal of Climate 30 (17): 6823-6850 [10.1175/jcli-d-16-0609.1]

    Buchard, V., C. A. Randles, A. M. da Silva, et al. A. Darmenov, P. R. Colarco, R. Govindaraju, R. Ferrare, J. Hair, A. J. Beyersdorf, L. D. Ziemba, and H. Yu. 2017. "The MERRA-2 Aerosol Reanalysis, 1980 -- onward, Part II: Evaluation and Case Studies." Journal of Climate JCLI-D-16-0613.1 [10.1175/jcli-d-16-0613.1]

    Gelaro, R., W. McCarty, M. J. Suárez, et al. R. Todling, A. Molod, L. Takacs, C. Randles, A. Darmenov, M. G. Bosilovich, R. Reichle, K. Wargan, L. Coy, R. Cullather, C. Draper, S. Akella, V. Buchard, A. Conaty, A. da Silva, W. Gu, G.-K. Kim, R. Koster, R. Lucchesi, D. Merkova, J. E. Nielsen, G. Partyka, S. Pawson, W. Putman, M. Rienecker, S. D. Schubert, M. Sienkiewicz, and B. Zhao. 2017. "The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2)." Journal of Climate 30 5419–5454 [10.1175/jcli-d-16-0758.1]

    Yasunari, T. J., M. Niwano, Y. Fujiyoshi, et al. A. Shimizu, M. Hayasaki, T. Aoki, A. M. da Silva, B. N. Holben, S. Matoba, N. Murao, S. Yamagata, and K.-M. Kim. 2017. "An Unreported Asian Dust (Kosa) Event in Hokkaido, Japan: A Case Study of 7 March 2016." SOLA 13 (0): 96-101 [10.2151/sola.2017-018]

    Provençal, S., V. Buchard, A. M. da Silva, et al. R. Leduc, N. Barrette, E. Elhacham, and S.-H. Wang. 2017. "Evaluation of PM2. 5 Surface Concentrations Simulated by Version 1 of NASA’s MERRA Aerosol Reanalysis over Israel and Taiwan." Aerosol and Air Quality Research 17 (1): 253--261 [10.4209/aaqr.2016.04.0145]

    Hughes, E. J., J. Yorks, N. A. Krotkov, A. M. da Silva, and M. McGill. 2016. "Using CATS Near-Realtime Lidar Observations to Monitor and Constrain Volcanic Sulfur Dioxide (SO2) Forecasts." Geophysical Research Letters [10.1002/2016gl070119]

    Wind, G., A. M. da Silva, P. M. Norris, et al. S. Platnick, S. Mattoo, and R. C. Levy. 2016. "Multi-sensor cloud and aerosol retrieval simulator and remote sensing from model parameters – Part 2: Aerosols." Geosci. Model Dev. 9 (7): 2377-2389 [10.5194/gmd-9-2377-2016]

    Norris, P. M., and A. M. da Silva. 2016. "Monte Carlo Bayesian inference on a statistical model of sub-gridcolumn moisture variability using high-resolution cloud observations. Part 2: Sensitivity tests and results." Q.J.R. Meteorol. Soc. 142 (699): 2528-2540 [10.1002/qj.2844]

    Norris, P. M., and A. M. da Silva. 2016. "Monte Carlo Bayesian inference on a statistical model of sub-gridcolumn moisture variability using high-resolution cloud observations. Part 1: Method." Q.J.R. Meteorol. Soc. 142 (699): 2505-2527 [10.1002/qj.2843]

    Theurich, G., C. DeLuca, T. Campbell, et al. F. Liu, K. Saint, M. Vertenstein, J. Chen, R. Oehmke, J. Doyle, T. Whitcomb, A. Wallcraft, M. Iredell, T. Black, A. M. Da Silva, T. Clune, R. Ferraro, P. Li, M. Kelley, I. Aleinov, V. Balaji, N. Zadeh, R. Jacob, B. Kirtman, F. Giraldo, D. McCarren, S. Sandgathe, S. Peckham, and R. Dunlap. 2016. "The Earth System Prediction Suite: Toward a Coordinated U.S. Modeling Capability." Bulletin of the American Meteorological Society 97 (7): 1229-1247 [10.1175/bams-d-14-00164.1]

    Lu, C.-H., A. da Silva, J. Wang, et al. S. Moorthi, M. Chin, P. Colarco, Y. Tang, P. S. Bhattacharjee, S.-P. Chen, H.-Y. Chuang, H.-M. H. Juang, J. McQueen, and M. Iredell. 2016. "The implementation of NEMS GFS Aerosol Component (NGAC) Version 1.0 for global dust forecasting at NOAA/NCEP." Geosci. Model Dev. 9 (5): 1905-1919 [10.5194/gmd-9-1905-2016]

    Buchard, V., A. da Silva, C. Randles, et al. P. Colarco, R. Ferrare, J. Hair, C. Hostetler, J. Tackett, and D. Winker. 2016. "Evaluation of the surface PM2.5 in Version 1 of the NASA MERRA Aerosol Reanalysis over the United States." Atmospheric Environment 125 (Part A): 100-111 [10.1016/j.atmosenv.2015.11.004]

    Yasunari, T. J., P. R. Colarco, W. K. Lau, et al. K. Osada, M. Kido, S. P. Mahanama, K.-M. Kim, and A. M. Da Silva. 2016. "Total dust deposition flux during precipitation in Toyama, Japan, in the spring of 2009: A sensitivity analysis with the NASA GEOS-5 Model." Atmospheric Research 167 298–313 [10.1016/j.atmosres.2015.08.005]

    Randles, C. A., A. M. Da Silva, V. J. Buchard, et al. A. S. Darmenov, P. R. Colarco, V. Aquila, H. Bian, E. P. Nowottnick, X. Pan, H. Yu, and R. C. Govindaraju. 2016. "The MERRA-2 Aerosol Assimilation." Technical Report Series on Global Modeling and Data Assimilation 45

    Nowottnick, E. P., P. R. Colarco, E. J. Welton, and A. M. Da Silva. 2015. "Use of the CALIOP vertical feature mask for evaluating global aerosol models." Atmospheric Measurement Techniques 8 3647-3669 [10.5194/amt-8-3647-2015]

    Kouatchou, J., A. Da Silva, and A. Oloso. 2015. "SIVO-PyD: A Python Distribution for Scientific Computing Visualization." NASA Tech Brief GSC-16530-1 [Full Text (Link)]

    Kishcha, P., A. da Silva, B. Starobinets, et al. C. Long, O. Kalashnikova, and P. Alpert. 2015. "Saharan dust as a causal factor of hemispheric asymmetry in aerosols and cloud cover over the tropical Atlantic Ocean." International Journal of Remote Sensing 36 (13): 3423-3445 [10.1080/01431161.2015.1060646]

    Buchard, V. J., A. M. Da Silva, P. R. Colarco, et al. A. S. Darmenov, C. A. Randles, R. C. Govindaraju, O. Torres, J. Campbell, and R. Spurr. 2015. "Using the OMI aerosol index and absorption aerosol optical depth to evaluate the NASA MERRA Aerosol Reanalysis ." Atmos. Chem. Phys. 15 5743-5760 [10.5194/acp-15-5743-2015]

    Bosilovich, M. G., J.-D. Chern, D. M. Mocko, F. R. Robertson, and A. M. da Silva. 2015. "Evaluating observation influence on regional water budgets in reanalyses." J. Climate 28 (9): 3631-3649 [10.1175/JCLI-D-14-00623.1]

    Huang, M., K. W. Bowman, G. R. Carmichael, et al. M. Lee, T. Chai, S. N. Spak, D. K. Henze, A. S. Darmenov, and A. M. da Silva. 2015. "Improved western U.S. background ozone estimates via constraining nonlocal and local source contributions using Aura TES and OMI observations." J. Geophys. Res. Atmos. 120 (8): 3572-3592 [10.1002/2014jd022993]

    Long, M. S., R. Yantosca, J. E. Nielsen, et al. C. A. Keller, A. da Silva, M. P. Sulprizio, S. Pawson, and D. J. Jacob. 2015. "Development of a grid-independent GEOS-Chem chemical transport model (v9-02) as an atmospheric chemistry module for Earth system models." Geosci. Model Dev. 8 (3): 595-602 [10.5194/gmd-8-595-2015]

    Sessions, W. R., J. S. Reid, A. Benedetti, et al. P. R. Colarco, A. da Silva, S. Lu, T. Sekiyama, T. Y. Tanaka, J. M. Baldasano, S. Basart, M. E. Brooks, T. F. Eck, M. Iredell, J. A. Hansen, O. C. Jorba, H.-M. H. Juang, P. Lynch, J.-J. Morcrette, S. Moorthi, J. Mulcahy, Y. Pradhan, M. Razinger, C. B. Sampson, J. Wang, and D. L. Westphal. 2015. "Corrigendum to "Development towards a global operational aerosol consensus: basic climatological characteristics of the International Cooperative for Aerosol Prediction Multi-Model Ensemble (ICAP-MME)" published in Atmos. Chem. Phys., 15, 335–362, 2015." Atmos. Chem. Phys. 15 (5): 2533-2534 [10.5194/acp-15-2533-2015]

    Bingqi Yi, Ping Yang, A. Dessler, and A. M. da Silva. 2015. "Response of Aerosol Direct Radiative Effect to the East Asian Summer Monsoon." IEEE Geosci. Remote Sensing Lett. 12 (3): 597-600 [10.1109/lgrs.2014.2352630]

    Barre, J., D. Edwards, H. Worden, A. M. Da Silva, and W. A. Lahoz. 2015. "On the feasibility of monitoring Carbon Monoxide in the lower troposphere from a constellation of Northern Hemisphere geostationary satellites. (Part 1)." Atmos. Environ 113 63-77 [10.1016/j.atmosenv.2015.04.069]

    Saide, P., D. A. Peterson, A. da Silva, et al. B. Anderson, L. D. Ziemba, G. Diskin, G. Sachse, J. Hair, C. Butler, M. Fenn, J. L. Jimenez, P. Campuzano-Jost, A. E. Perring, J. P. Schwarz, M. Z Markovic, P. Russell, J. Redemann, Y. Shinozuka, D. G. Streets, F. Yan, J. Dibb, R. Yokelson, O. B. Toon, E. Hyer, and G. R. Carmichael. 2015. "Revealing important nocturnal and day-to-day variations in fire smoke emissions through a multiplatform inversion." Geophys. Res. Lett 42 3609-3618 [10.1002/2015GL063737]

    Sessions, W., J. S. Reid, A. Benedetti, et al. P. Colarco, A. da Silva, S. Lu, T. Sekiyama, T. Y. Tanaka, J. M. Baldasano, S. Basart, M. Brooks, T. F. Eck, M. Iredell, J. A. Hansen, O. Jorba, H.-M. Juang, P. Lynch, J.-J. Morcrette, S. Moorthi, J. Mulcahy, Y. Pradhan, M. Razinger, C. B. Sampson, J. Wang, and D. L. Westphal. 2015. "Development towards a global operational aerosol consensus: Basic climatological characteristics of the International Cooperative for Aerosol Prediction Multi-Model Ensemble (ICAP-MME)." Atmos. Chem. Phys 15 335-362 [10.5194/acp-15-335-2015]

    Saide, P. E., S. N. Spak, R. B. Pierce, et al. J. A. Otkin, T. K. Schaack, A. K. Heidinger, A. M. da Silva, M. Kacenelenbogen, J. Redemann, and G. R. Carmichael. 2015. "Central American biomass burning smoke can increase tornado severity in the U.S." Geophys. Res. Lett 42 956-965 [10.1002/2014GL062826]

    Zhang, F., J. Wang, C. M. Ichoku, et al. E. J. Hyer, Z. Yang, C. Ge, S. Su, X. Zhang, S. Kondragunta, J. W. Kaiser, C. Wiedinmyer, and A. M. Da Silva. 2014. "Sensitivity of mesoscale modeling of smoke direct radiative effect to the emission inventory: a case study in northern sub-Saharan African region." Environmental Research Letters 9 (7): 075002 (14 pp) [10.1088/1748-9326/9/7/075002]

    Keller, C. A., M. S. Long, R. M. Yantosca, et al. A. M. Da Silva, S. Pawson, and D. J. Jacob. 2014. "HEMCO v1.0: a versatile, ESMF-compliant component for calculating emissions in atmospheric models." Geoscientific Model Development 7 (4): 1409-1417 [10.5194/gmd-7-1409-2014]

    Kishcha, P., A. M. Da Silva, B. Starobinets, and P. Alpert. 2014. "Air pollution over the Ganges basin and northwest Bay of Bengal in the early postmonsoon season based on NASA MERRAero data." J. Geophys. Res. Atmos. 119 (3): 1555-1570 [10.1002/2013JD020328]

    Buchard, V. J., A. M. Da Silva, P. R. Colarco, et al. N. A. Krotkov, R. R. Dickerson, J. W. Stehr, G. Mount, E. Spinei, H. L. Arkinson, and H. He. 2014. "Evaluation of GEOS-5 sulfur dioxide simulations during the Frostburg, MD 2010 field campaign." Atmos. Chem. Phys. 14 (4): 1929-1941 [10.5194/acp-14-1929-2014]

    Yasunari, T., W. K. Lau, P. R. Colarco, et al. A. M. Da Silva, T. Aoki, K. Aoki, N. Murao, S. Yamagata, Y. Kodama, and S. P. Mahanama. 2014. "The GOddard SnoW Impurity Module (GOSWIM) for the NASA GEOS-5 Earth System Model: Preliminary Comparisons with Observations in Sapporo, Japan." SOLA 10 (0): 50-56 [10.2151/sola.2014-011]

    Matsui, T., C. M. Ichoku, C. A. Randles, et al. T. L. Yuan, A. M. Da Silva, P. R. Colarco, D. Kim, R. C. Levy, A. M. Sayer, M. Chin, D. Giles, B. N. Holben, E. J. Welton, T. F. Eck, and L. A. Remer. 2014. "Current and Future Perspectives of Aerosol Research at NASA Goddard Space Flight Center." Bulletin of the American Meteorological Society early view [10.1175/ BAMS-D-13-00153.1]

    Reale, O., W. K. Lau, A. M. Da Silva, and T. Matsui. 2014. "Impact of assimilated and interactive aerosol on tropical cyclogenesis." Geophys. Res. Lett 41 (9): 3282-3288 [10.1002/2014GL059918]

    Gupta, P., M. Khan, A. M. Da Silva, and F. Patadia. 2013. "MODIS aerosol optical depth observations over urban areas in Pakistan: Quantity and quality of the data for air quality monitoring." Atmospheric Pollution Research 4 (1): 43-52 [10.5094/APR.2013.005]

    Palmer, P., M. Parrington, J. Lee, S. Pawson, and A. da Silva. 2013. "Quantifying the impact of BOReal forest fires on Tropospheric oxidants over the Atlantic using Aircraft and Satellites (BORTAS) experiment: design, execution and science overview." Atmos. Chem. Phys. 13 (13): 6239-6261 [10.5194/acp-13-6239-2013]

    Guan, B., D. E. Waliser, J.-L. F. Li, and A. da Silva. 2013. "Evaluating the impact of orbital sampling on satellite-climate model comparisons." J. Geophys. Res. Atmos. 118 (2): 355-369 [10.1029/2012JD018590]

    Bian, H., P. R. Colarco, M. Chin, et al. G. Chen, J. M. Rodriguez, Q. Liang, D. Blake, D.-C. A. Chu, A. M. Da Silva, A. S. Darmenov, G. Diskin, H. E. Fuelberg, G. Huey, Y. Kondo, J. E. Nielsen, X. Pan, and A. Wisthaler. 2013. "Source attributions of pollution to the Western Arctic during the NASA ARCTAS field campaign." Atmos. Chem. Phys. 13 (9): 4707-4721 [10.5194/acp-13-4707-2013]

    Gorkavyi, N., D. Rault, P. Newman, A. M. Da Silva, and A. E. Dudorov. 2013. "New stratospheric dust belt due to the Chelyabinsk bolide." Geophys. Res. Lett 40 (17): 4728-4733 [10.1002/grl.50788]

    Wind, G., A. M. Da Silva, P. M. Norris, and S. E. Platnick. 2013. "Multi-sensor cloud retrieval simulator and remote sensing from model parameters – Part 1: Synthetic sensor radiance formulation." Geosci. Model Dev. 6 (6): 2049-2062 [10.5194/gmd-6-2049-2013]

    Randles, C. A., P. R. Colarco, and A. M. Da Silva. 2013. "Direct and semi-direct aerosol effects in the NASA GEOS-5 AGCM: aerosol-climate interactions due to prognostic versus prescribed aerosols." J. Geophys. Res. Atmos. 118 (1): 149–169 [10.1029/2012JD018388]

    Choi, S., Y. Wang, R. J. Salawitch, et al. T. Canty, J. Joiner, T. Zeng, T. P. Kurosu, K. Chance, A. Richter, L. G. Huey, J. Liao, J. A. Neuman, J. B. Nowak, J. E. Dibb, A. J. Weinheimer, G. Diskin, T. B. Ryerson, A. da Silva, J. Curry, D. Kinnison, S. Tilmes, and P. F. Levelt. 2012. "Analysis of satellite-derived Arctic tropospheric BrO columns in conjunction with aircraft measurements during ARCTAS and ARCPAC." Atmos. Chem. Phys. 12 (3): 1255-1285 [10.5194/acp-12-1255-2012]

    Witte, J. C., A. R. Douglass, A. da Silva, et al. O. Torres, R. Levy, and B. N. Duncan. 2011. "NASA A-Train and Terra observations of the 2010 Russian wildfires." Atmos. Chem. Phys. 11 (17): 9287-9301 [10.5194/acp-11-9287-2011]

    Van Donkelaar, A., R. V. Martin, R. C. Levy, et al. A. M. Da Silva, M. Krzyzanowski, N. E. Chubarova, E. Semutnikova, and A. J. Cohen. 2011. "Satellite-based estimates of ground-level fine particulate matter during extreme events: A case study of the Moscow fires in 2010." Atmospheric Environment 45 (34): 6225-6232 [10.1016/j.atmosenv.2011.07.068]

    Rienecker, M. M., M. J. Suarez, R. Gelaro, et al. R. Todling, J. Bacmeister, E. Liu, M. G. Bosilovich, S. D. Schubert, L. Takacs, G.-K. Kim, S. Bloom, J. Chen, D. Collins, A. Conaty, A. da Silva, W. Gu, J. Joiner, R. D. Koster, R. Lucchesi, A. Molod, T. Owens, S. Pawson, P. Pegion, C. R. Redder, R. H. Reichle, F. R. Robertson, A. G. Ruddick, M. Sienkiewicz, and J. Woollen. 2011. "MERRA: NASA’s Modern-Era Retrospective Analysis for Research and Applications." J. Climate 24 (14): 3624-3648 [10.1175/JCLI-D-11-00015.1]

    Nowottnick, E., P. R. Colarco, A. M. Da Silva, D. L. Hlavka, and M. J. Mcgill. 2011. "The fate of Saharan dust across the Atlantic and implications for a Central American dust barrier." Atmos. Chem. Phys. 11 (16): 8415-8431 [10.5194/acp-11-8415-2011]

    Reale, O., W. K. Lau, and A. M. Da Silva. 2011. "Impact of Interactive Aerosol on the African Easterly Jet in the NASA GEOS-5 Global Forecasting System." Weather and Forecasting 26 (4): 504-519 [10.1175/WAF-D-10-05025.1]

    Salawitch, R. J., T. Canty, T. Kurosu, et al. K. Chance, Q. Liang, A. M. Da Silva, S. Pawson, J. E. Nielsen, J. M. Rodriguez, and P. K. Bhartia. 2010. "A new interpretation of total column BrO during Arctic spring." Geophysical Research Letters 37 (21): L21805 [10.1029/2010GL043798]

    Wong, S., A. E. Dessler, N. M. Mahowald, P. R. Colarco, and A. da Silva. 2008. "Long-term variability in Saharan dust transport and its link to North Atlantic sea surface temperature." Geophysical Research Letters 35 (7): [10.1029/2007gl032297]

    Zhou, S., V. Balaji, C. A. Cruz, et al. A. M. Da Silva, C. Hill, E. Kluzek, S. Smithline, and A. L. Trayanov. 2007. "Cross-organization interoperability experiments of weather and climate models with the Earth System Modeling Framework." Concurrency and Computation: Practice and Experience 19 (5): 583–592 [Full Text (Link)] [10.1002/cpe.1120]

    Weaver, C. J., A. M. Da Silva, M. Chin, et al. P. Ginoux, O. Dubovik, D. Flittner, A. Zia, L. A. Remer, B. N. Holben, and W. Gregg. 2007. "Direct insertion of MODIS radiances in a global aerosol transport model." J Atmos Sci 64 (3): 808-826 [10.1175/JAS3838.1]

    Joiner, J., E. Brin, R. Treadon, et al. J. Derber, P. Van Delst, A. M. da Silva, J. Le Marshall, P. Poli, D. Atlas, D. R. Bungato, and C. Cruz. 2007. "Effects of data selection and error specification on the assimilation of AIRS data." Quart J Roy Meteor Soc 133 (622): 181-196 [10.1002/qj.8]

    Norris, P. M., and A. M. da Silva. 2007. "Assimilation of Satellite Cloud Data into the GMAO Finite-Volume Data Assimilation System Using a Parameter Estimation Method. Part I: Motivation and Algorithm Description." J. Atmos. Sci. 64 (11): 3880-3895 [10.1175/2006JAS2046.1]

    Bosilovich, M. G., J. Radakovich, A. M. Da Silva, R. Todling, and F. Verter. 2007. "Skin Temperature Analysis and Bias Correction in a Coupled Land-Atmosphere Data Assimilation System." Journal of the Meteorological Society of Japan 85A

    Tan, W. W., M. A. Geller, S. Pawson, and A. da Silva. 2004. "A case study of excessive subtropical transport in the stratosphere of a data assimilation system." J. Geophys. Res. 109 (D11): D11102 [10.1029/2003JD004057]

    Yang, R., S. Cohn, A. da Silva, J. Joiner, and P. R. Houser. 2003. "Tangent linear analysis of the Mosaic land surface model." J. Geophys. Res. 108 (D2): 4054 [10.1029/2002JD002410]

    Dee, D. P., and A. da Silva. 2003. "The Choice of Variable for Atmospheric Moisture Analysis." Mon. Wea. Rev. 131 (1): 155-171 [10.1175/1520-0493(2003)131<0155:TCOVFA>2.0.CO;2]

    Coy, L., I. Stajner, A. M. da Silva, et al. J. Joiner, R. B. Rood, P. Pawson, and S. J. Lin. 2003. "High-Frequency Planetary Waves in the Polar Middle Atmosphere as Seen in a Data Assimilation System." J. Atmos. Sci. 60 (24): 2975-2992 [10.1175/1520-0469(2003)060<2975:HPWITP>2.0.CO;2]

    Yang, R., S. E. Cohn, A. da Silva, J. Joiner, and P. Houser. 2003. "Tangent linear analysis of the Mosaic land surface model." J Geophys Res 108 (D2): 12-1 - 12-16

    Dee, D. P., L. Rukhovets, R. Todling, A. M. da Silva, and J. W. Larson. 2001. "An adaptive buddy check for observational quality control." Quarterly Journal of the Royal Meteorological Society 127 (577): 2451-2471 [10.1002/qj.49712757714]

    Hou, A. Y., S. Zhang, A. M. da Silva, et al. W. S. Olson, C. Kummerow, and J. Simpson. 2001. "Improving global analysis and short-range forecast using rainfall and moisture observations derived from TRMM and SSM/I passive microwave instruments." Bull Amer Meteor Soc 82 659-679

    Hou, A. Y., D. Ledvina, A. M. Da Silva, et al. S. Zhang, J. Joiner, R. Atlas, G. J. Huffman, and C. Kummerow. 2000. "Assimilation of SSM/I-Derived Surface Rainfall and Total Precipitable Water for Improving the GEOS Analysis for Climate Studies." Mon. Wea. Rev. 128 (3): 509-537 [10.1175/1520-0493(2000)128<0509:AOSIDS>2.0.CO;2]

    Joiner, J., and A. M. Da Silva. 1998. "Efficient Methods to Assimilate Satellite Retrievals Based on Information Content." Q.J.R. Meteorol. Soc. 125 (549): 1669-1694 [10.1002/qj.49712454915]

    Cohn, S. E., A. Da Silva, J. Guo, M. Sienkiewicz, and D. Lamich. 1998. "Assessing the Effects of Data Selection with the DAO Physical-Space Statistical Analysis System*." Monthly Weather Review 126 (11): 2913--2926

    Non-Refereed

    Kim, J. G., S. R. Akella, A. M. Da Silva, R. Todling, and W. R. Mccarty. 2018. "Preliminary evaluation of influence of aerosols on the simulation of brightness temperature in the NASA’s Goddard Earth Observing System Atmospheric Data Assimilation System." NASA Technical Report Series on Global Modeling and Data Assimilation, NASA/TM-2018-104606 49 44pp [Full Text (Link)]

    Errico, R. M., N. C. Prive, D. Carvalho, et al. M. E. Sienkiewicz, A. El Akkraoui, J. Guo, R. Todling, W. R. Mccarty, W. M. Putman, A. M. Da Silva, R. Gelaro, and I. Moradi. 2017. "Description of the GMAO OSSE for Weather Analysis Software Package: Version 3." NASA Technical Report Series on Global Modeling and Data Assimilation, NASA/TM-2017-104606 48 156 pp. [Full Text (Link)]

    Darmenov, A. S., and A. M. Da Silva. 2015. "The Quick Fire Emissions Dataset (QFED): Documentation of versions 2.1, 2.2 and 2.4." NASA Technical Report Series on Global Modeling and Data Assimilation 38 (NASA/TM–2015–104606):

    Davies, D. K., K. J. Murphy, K. Michael, et al. I. Becker-Reshef, C. O. Justice, R. A. Boller, S. A. Braun, J. E. Schmaltz, M. Wong, A. N. Pasch, T. S. Dye, A. M. Da Silva, H. M. Goodman, and P. J. Morin. 2015. "The Use of NASA LANCE Imagery and Data for Near Real-Time Applications." Time-Sensitive Remote Sensing 165-182 [10.1007/978-1-4939-2602-2_11]

    Gelaro, R., W. M. Putman, S. Pawson, et al. C. S. Draper, A. M. Molod, P. M. Norris, L. E. Ott, N. C. Privé, O. Reale, D. Achuthavarier, M. G. Bosilovich, V. J. Buchard, W. C. Chao, L. Coy, R. I. Cullather, A. M. Da Silva, A. S. Darmenov, R. M. Errico, M. Fuentes, M.-J. Kim, R. D. Koster, W. R. Mccarty, J. Nattala, G. S. Partyka, S. D. Schubert, G. R. Vernieres, Y. V. Vikhliaev, and K. Wargan. 2015. "Evaluation of the 7-km GEOS-5 Nature Run." NASA Technical Report Series on Global Modeling and Data Assimilation 36 (NASA/TM-2014-104606):

                                                                                                                                                                                            
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