Dr. Arlindo M da Silva

Dr. Arlindo M da Silva

  • (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-5. 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. Since 2014 Dr. da Silva is the Science Study Lead for the Aerosol-Cloud-Ecosystems (ACE) Decadal Survey Mission.  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

    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

    Professional Service

    • Member, Earth System Modeling Framework (ESMF) Executive Board (2003-present)
    • Member, NUOPC Common Modeling Architecture Working Group (2012-present)
    • CALIPSO Science Team
    • Co-Chair, GEO-CAPE Global OSSE Working Group (2013-present)
    • 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

    Study Lead for the Aerosol-Cloud-Ecosystem (ACE) Decadal Survey Mission

    The Aerosol-Cloud-Ecosystem (ACE) is a mission recommended by NRC's 2007 Earth Science Decadal Survey (DS), and is under NASA pre-formulation study phase. The ACE science working group (SWG) was established to study  mission concepts, science measurement requirements, and instrument capabilities. The ACE Study Team is funded by NASA HQ and consists of three subgroups focusing on aerosol, cloud and ocean ecosystem disciplines.

    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.

    Atmospheric Composition OSSE Activities for GEO-CAPE and Related Missions

    Leads the development of full chemistry Nature Runs and instrument simulators for GEO-CAPE and other related geostationary missions such as the Korean GEMS and the European SENTINEL-4.  Applications include the quantitative assessment of the benefit of a costellation of geostationary satellites for atmospheric composition.

    Improving Cloud Microphysics and their Interactions with Aerosols in the NCEP Global Models

    This NOAA funded research-to-operation project to the NOAA MAPP Program to enhance the NOAA/NCEP weather-climate modeling capabilities by improving the representations of cloud-aerosol-radiation interactions in the NCEP global models (i.e., the Global Forecast System, GFS, and the Climate Forecast System, CFS). This project seeks to improve the treatment of cloud-aerosol-radiation interactions in NCEP global models by adopting the physically-based cloud/aerosol package at NASA/GSFC Global Modeling and Assimilation Office (GMAO), which in turn leverage scientific advances by a broad climate research community.

    Assimilating CALIPSO Observations for Improving Integrated Earth System Analysis in GEOS-5: Application to Aerosol Forcing of Climate

    The purpose of the Goddard Aerosol Assimilation System (GAAS) is to combine the advances in remote sensing of atmospheric aerosols, aerosol modeling, and data assimilation methodology to produce high spatial and temporal resolution 3D aerosol fields, and to assess the impact of these fields on climate modeling and more generally on atmospheric climate assimilation. This NASA funded project focuses on the introduction of CALIOP aerosol observations into GAAS, combined with aerosol measurements from MISR on Terra, and MODIS on both the Terra and Aqua satellites. Untimately, this project intends to assess the impact of CALIOP observations in reducing the uncertainties of aerosol forcing of climate.

    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. 

    Extending Interoperability of ESMF-Based Models at NASA

    This NASA funded project aims to improve the interoperability of the components of NASA's GEOS-5 and ModelE, and to further increase the interoperability of these models with other agency and community codes. This will establish a foundation for future coordination of NASA Earth system modeling activities across NASA centers and the broader community.

    Publications

    Refereed

    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]

    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]

    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]

    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]

    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]

    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]

    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]

    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]

    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]

    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]

    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]

    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]

    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]

    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]

    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]

    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]

    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:

    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]

    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]

    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]

    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.

    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]

    Non-Refereed

    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-5. 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. Since 2014 Dr. da Silva is the Science Study Lead for the Aerosol-Cloud-Ecosystems (ACE) Decadal Survey Mission.  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

    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]

    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]

    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]

    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]

    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]

    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]

    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]

    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]

    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]

    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]

    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]

    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]

    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]

    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]

    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]

    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]

    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

    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]

    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]

    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]

    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

    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]

    Non-Refereed

    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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