Ronald M Errico

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Ronald M Errico

  • SR. RSRCH. SCIENTIST
  • 301.614.6402 | 301.614.6246
  • NASA/GSFC
  • Mail Code: 610.1
  • Greenbelt , MD 20771
  • Employer: MORGAN STATE UNIV.
  • Brief Bio

    Dr. Ronald Errico received a B.S. in physics from the University of Arizona in 1974, where he also took several graduate courses in meteorology. His Ph. D. in meteorology was received in 1979 from the Massachusetts Institute of Technology. With E.N. Lorenz as his adviser, his thesis entitled "The partitioning of energy between geostrophic and ageostrophic modes" examined the fundamentals of why the atmosphere is quasi-geostrophic. It won the department's award for best thesis that year at the recommendation of Jules Charney. Applications of his thesis have continued throughout his career. After completing his degree, Ron joined the Advanced Study Program at the National Center for Atmospheric Research (NCAR) as a postdoc, followed by a staff appointment in 1981 within NCAR's Large Scale Dynamics Section of its Atmospheric Analysis and Prediction Division. In 1994 he was appointed Senior Scientist in the Climate and Global Dynamics Division there. During his tenure at NCAR, Ron had sabbaticals from NCAR at the Naval Research Laboratory in Monterey from March 1989 to April 1990 and at ECMWF for 7 months in 1996. He left NCAR in July 2002 to join GEST and later GESTAR to work at NASA's Global Modeling and Assimilation Office. Since 1992, he has been chief organizer of 15 international workshops concerned with data assimilation, including 8 of the 9 International Workshops on the Application of Adjoint Models in Dynamic Meteorology. His past work has included examination of atmospheric balance, development and application of atmospheric adjoint models, atmospheric predictability, scale analysis, regional climate modeling, and data assimilation. This last includes design and application of observing system simulation experiments.

    Research Interests

    Observation System Simulation Experiments

    Development of validation methodologies and applications to operational systems

    Adjoint methods

    Development of adjoint models for a broad set of applications in predictability theory, synoptic analysis, data sensitivity, parameter estimation, and variational 4-dimensional data assimilation.

    Data assimilation

    Evaluation of current data assimilation systems and development of new verification, analysis, and initialization techniques

    Normal mode initialization

    Establishment of the basis, limitations, and methodology of initialization in global and mesoscale models. : Investigation of the fundamental processes affecting large-scale gravity waves, including resonant convective forcing, wave--wave interaction, and quasi-geostrophic dynamics


    Atmospheric predictability

    Investigations of the limitations of predictability on various time an space scales

    Applications of Statistics

    Examination of fundamental issues of statistical applications to the dynamical forecast and data assimilation problems, including determination of representative probability density functions and stochastic elements of parameterization schemes.

    Teaching Experience

    1993 – 2000 University of Oklahoma, Adjunct Associate Professor of Meteorology (served on PH.D. committee)

    1991 – 1993 Colorado State University, Adjunct Associate Professor of Meteorology (served on PH.D. committee)

    1988 – 1996 University of Utah, Adjunct Professor of Meteorology (served on Ph. D. committees and as guest lecturer)

    1986 – 1988 Naval Postgraduate School, Guest Lecturer in Meteorology.

    1973 – 1974 University of Arizona. Teaching Assistant in Department of Physics (first undergraduate in this role; responsible for three lab  classes)

    Current Projects

    Development and applications of Observing System Simulation Experiments (OSSEs) at the GMAO

    OSSEs are intended to simulate the atospheric data assimilation problem. Instead of using real observations, simulated ones having simulted errors are created from a simulation of nature produced by a high-reolution, long-running, atmsopheric model. Being simulations, they are not restricted to consideration of real observations and therefore the potential effects of future observations can be explored. Also, since thruth is precisely known in the simulation context, analysis and forecast errors can be explicitly calculated. These 2 properties of OSSEs can assist the rational design and selction of new observing systems and the evaluation of present data assimilation systems.

    Education

    Ph.D. 1979 Massachusetts Institute of Technology, Meteorology (E.N. Lorenz as advisor)
    B.A. 1974 University of Arizona, Physics



    Positions/Employment

    5 / 2011 - Present

    Senior Research Scientist

    Goddard Earth Sciences Technology and Research Center, Morgan State University, Global Modeling and Assimilation Office, NASA GSFC
    7 / 2002 - 5 / 2011

    Senior Research Scientist

    Goddard Earth Sciences and Technology Center, University of Maryland, Baltimore County , Global Modeling and Assimilation Office, NASA GSFC
    10 / 1979 - 7 / 2002

    Senior Scientist (since 1994)

    National Center for Atmospheric Research , Boulder CO Joined as a postdoc in the Advanced Studies program.  Became a staff scientist in 1981.
    3 / 1996 - 10 / 1996

    Visiting Scientist

    European Centre for Medium Range Weather Forecasts , Reading England Joined as a postdoc in the Advanced Studies program.  Became a staff scientist in 1981.
    3 / 1989 - 4 / 1990

    Visiting Scientist

    Naval Environmental Prediction Research Facility , Monterey CA Joined as a postdoc in the Advanced Studies program.  Became a staff scientist in 1981.
    9 / 1974 - 10 / 1979

    Graduate Resaerch Assistant

    Massachusetts Institute of Technology , Cambridge MA Joined as a postdoc in the Advanced Studies program.  Became a staff scientist in 1981.

    Professional Service

    Co- Chief Organizer, Workshop on Meteorological Sensitivity Analysis and Data
    Assimilation, Roanoke WV, June 2015.

    Chief Organizer, Ninth Workshop on Adjoint Applications in Dynamic Meteorology,
    Cefalu, Italy, October 2011.

    Organizing committee member, ECMWF-JCSDA Workshop on the Assimilation of
    Satellite Observations in Areas of Cloudiness or Precipitation into NWP, ECMWF,
    Reading, England, June 2010.

    Chief Organizer, Eighth Workshop on Adjoint Applications in Dynamic
    Meteorology, Tannersville, Pennsylvania, 13-18 May 2009.

    Organizing committee member, WWRP/THORPEX Workshop on 4D-VAR and
    Ensemble Kalman Filter Inter-Comparisons. Buenos Aires, Argentina, 10-13
    November 2008.

    Co-Chief Organizer, Seventh Workshop on Adjoint Applications in Dynamic
    Meteorology, Obergurgl, Tyrol, Austria, October 2006.

    Co-Chief Organizer, The International Workshop on Assimilation of Satellite
    Cloud and Precipitation Observations in NWP Models, Lansdowne, Virginia, May
    2005.

    Chief Organizer, Sixth Workshop on Adjoint Applications in Dynamic Meteorology,
    Acquafredda di Maratea, Italy, May 2004.

    Chief Organizer, Fifth Workshop on Adjoint Applications in Dynamic Meteorology,
    Mount Bethel, Pennsylvania, April 2002.

    Co-Organizer, Workshop on Atmospheric Predictability, Monterey, California, April
    2001.

    Chief Organizer, Fourth Workshop on Adjoint Applications in Dynamic
    Meteorology, Moliets, France, June 2000.

    Co-chief Organizer for Second Workshop on Optimal Assimilation of Satellite
    Observations, College Park, Maryland, October 1999.

    Chief Organizer for Workshop on Optimal Assimilation of Satellite Observations for
    Atmospheric Analysis, NASA, Greenbelt, MD, April 1998.

    Organizing committee for USWRP Workshop on Data Assimilation, Monterey,
    California, December 1997.

    Organizing committee for the Third Workshop on Adjoint Applications in Dynamic
    Meteorology, Quebec Canada, June 1997.

    Member of Program Committee for the WMO International Workshop on Limited--
    Area and Variable Resolution Models, Beijing, China, October 1995.

    Chief Organizer, Workshop on New Data Assimilation Techniques, Monterey,
    California, July 1995.

    Member of Program Committee for 10th AMS Conference on Numerical Weather
    Prediction, Portland, OR, 1994.

    Organizer, 2nd Workshop on Adjoint Applications in Dynamic Meteorology,
    Visegrad, Hungary, May 1993.

    Chief Organizer, Workshop on Data Assimilation for EOS, Greenbelt, Maryland,
    May 1993.

    Chief Organizer, Workshop on Adjoint Applications in Dynamic Meteorology,
    Pacific Grove, CA, August 1992.

    Member of the Science Steering Committee for the Joint Center for Satellite data
    Assimilation (2004—2008).

    Guest editor for a special issue of Meteorologische Zeitschrift (2007).

    Member of the Steering Committee for the UCAR Visiting Research Program for
    Senior and Postdoctoral Scientists (1989--1990, 1993--1997).

    Member of NOAA’s Severe Weather Initiative Review Panel, 1996.


    Awards

    2008 The NASA/GMAO/SRT Outstanding Performance Award

    2006 Award for Best Popular Science Abstract in Earth-Sun Exploration
    Division at NASA’s Goddard Space Flight Center

    2005 The NASA/GMAO/SRT Outstanding Performance Award

    1994 Alan Berman Research Publication Award, given by the
    Department of the Navy, Naval Research Laboratory

    1993 Outstanding Publication Award, Honorable Mention, National
    Center for Atmospheric Research

    1980 Carl Gustav Rossby Award for best thesis, Department of
    Meteorology, Massachusetts Institute of Technology

    1973 Frank M. Life memorial Scholarship for Merit, University of Arizona

    Selected Publications

    Refereed

    Errico, R. M., N. C. Prive, and W. Gu. 2014. "Use of an OSSE to evaluate background error covariances estimated by the "NMC method"." Q. J. Roy. Meteor. Soc (In Press) [10.1002/qj.2384]

    Errico, R. M., and N. C. Prive. 2014. "An estimate of some analysis error statistics using the GMAO observing system simulation framework." Q. J. Roy. Meteor. Soc 140 1005-1012 [10.1002/qj.2180]

    Prive, N. C., R. M. Errico, and K.-S. Tai. 2014. "The impact of increased frequency of rawinsonde observations on forecast skill investigated with an observing system simulation experiment." Mon. Weather Rev 142 1823-1834 [10.1175/MWR-D-13-00237.1]

    Holdaway, D. R., R. M. Errico, R. Gelaro, and J. G. Kim. 2014. "Inclusion of linearized moist physics in NASA's Goddard Earth Observing System Data Assimilation Tools." Mon. Weather Rev 142 414-433 [10.1175/MWR-D-13-00193.1]

    Prive, N. C., and R. M. Errico. 2013. "The role of model and initial condition error in numerical weather forecasting investigated with an observing system simulation experiment." Tellus-A 65 [doi: 10.3402/tellusa.v65i0.21740]

    Prive, N. C., R. M. Errico, and K.-S. Tai. 2013. "The influence of observation errors on analysis error and forecast skill investigated with an observing system simulation experiment." J. Geophys. Res. - Atmos 118 5332-5346 [doi: 10.1002/jgrd.50452]

    Prive, N. C., R. M. Errico, and K.-S. Tai. 2013. "Validation of forecast skill of the Global Modeling and Assimilation Office observing system simulation experiment." Q. J. Roy. Meteor. Soc 139 1354-1363 [ doi: 10.1002/qj.2029]

    Errico, R. M., R. Yang, N. C. Prive, et al. K.-S. Tai, R. Todling, M. E. Sienkiewicz, and J. Guo. 2013. "Development and validation of observing-system simulation experiments at NASA's Global Modeling and Assimilation Office." Q. J. Roy. Meteor. Soc 139 1162-1178 [doi: 10.1002/qj2027]

    Brief Bio

    Dr. Ronald Errico received a B.S. in physics from the University of Arizona in 1974, where he also took several graduate courses in meteorology. His Ph. D. in meteorology was received in 1979 from the Massachusetts Institute of Technology. With E.N. Lorenz as his adviser, his thesis entitled "The partitioning of energy between geostrophic and ageostrophic modes" examined the fundamentals of why the atmosphere is quasi-geostrophic. It won the department's award for best thesis that year at the recommendation of Jules Charney. Applications of his thesis have continued throughout his career. After completing his degree, Ron joined the Advanced Study Program at the National Center for Atmospheric Research (NCAR) as a postdoc, followed by a staff appointment in 1981 within NCAR's Large Scale Dynamics Section of its Atmospheric Analysis and Prediction Division. In 1994 he was appointed Senior Scientist in the Climate and Global Dynamics Division there. During his tenure at NCAR, Ron had sabbaticals from NCAR at the Naval Research Laboratory in Monterey from March 1989 to April 1990 and at ECMWF for 7 months in 1996. He left NCAR in July 2002 to join GEST and later GESTAR to work at NASA's Global Modeling and Assimilation Office. Since 1992, he has been chief organizer of 15 international workshops concerned with data assimilation, including 8 of the 9 International Workshops on the Application of Adjoint Models in Dynamic Meteorology. His past work has included examination of atmospheric balance, development and application of atmospheric adjoint models, atmospheric predictability, scale analysis, regional climate modeling, and data assimilation. This last includes design and application of observing system simulation experiments.

    Refereed

    Errico, R. M., N. C. Prive, and W. Gu. 2014. "Use of an OSSE to evaluate background error covariances estimated by the "NMC method"." Q. J. Roy. Meteor. Soc (In Press) [10.1002/qj.2384]

    Errico, R. M., and N. C. Prive. 2014. "An estimate of some analysis error statistics using the GMAO observing system simulation framework." Q. J. Roy. Meteor. Soc 140 1005-1012 [10.1002/qj.2180]

    Prive, N. C., R. M. Errico, and K.-S. Tai. 2014. "The impact of increased frequency of rawinsonde observations on forecast skill investigated with an observing system simulation experiment." Mon. Weather Rev 142 1823-1834 [10.1175/MWR-D-13-00237.1]

    Holdaway, D. R., R. M. Errico, R. Gelaro, and J. G. Kim. 2014. "Inclusion of linearized moist physics in NASA's Goddard Earth Observing System Data Assimilation Tools." Mon. Weather Rev 142 414-433 [10.1175/MWR-D-13-00193.1]

    Prive, N. C., and R. M. Errico. 2013. "The role of model and initial condition error in numerical weather forecasting investigated with an observing system simulation experiment." Tellus-A 65 [doi: 10.3402/tellusa.v65i0.21740]

    Prive, N. C., R. M. Errico, and K.-S. Tai. 2013. "The influence of observation errors on analysis error and forecast skill investigated with an observing system simulation experiment." J. Geophys. Res. - Atmos 118 5332-5346 [doi: 10.1002/jgrd.50452]

    Prive, N. C., R. M. Errico, and K.-S. Tai. 2013. "Validation of forecast skill of the Global Modeling and Assimilation Office observing system simulation experiment." Q. J. Roy. Meteor. Soc 139 1354-1363 [ doi: 10.1002/qj.2029]

    Errico, R. M., R. Yang, N. C. Prive, et al. K.-S. Tai, R. Todling, M. E. Sienkiewicz, and J. Guo. 2013. "Development and validation of observing-system simulation experiments at NASA's Global Modeling and Assimilation Office." Q. J. Roy. Meteor. Soc 139 1162-1178 [doi: 10.1002/qj2027]

                                                                                                                                                                                            
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