Sciences and Exploration Directorate

Ricardo Todling

(RESEARCH AST, METEOROLOGICAL STUDIES)

 ricardo.todling@nasa.gov

 301.614.6171

Org Code: 610.1

NASA/GSFC
Mail Code: 610.1
Greenbelt, MD 20771

Employer: NASA

Brief Bio


Dr. Ricardo Todling works for the NASA Global Modeling and Assimilation Office (GMAO; former Data Assimilation Office, DAO). He started at NASA/DAO under a National Research Council fellowship in 1992, followed by a fellowship from the Universities Space Research Association in 1994, and subsequently joined Science Applications International Corporation as a contractor working for NASA's DAO and GMAO. In 2009, Dr. Todling was hired as a civil servant working for NASA/GMAO as Research Meteorologist.


Since 1996, Dr. Todling has been directly involved in developments associated with the DAO and GMAO data assimilation systems. He is one of the primary developers of the first NASA/DAO near-real-time data assimilation system built to support NASA's Earth Observing System program in the late 1990's and beyond. Since then, he has been in the role of Leading the data assimilation development in the Goddard Earth Observing System. This system provides data for NASA Instrument Teams to validate and calibrate their products as well as supports Modern-Era Retrospective analysis for Research and Applications efforts. Dr. Todling has served as liaison between GMAO and NOAA's National Centers for Environmental Prediction since the initial days of GMAO. He has directly contributed to the development of the Gridpoint Statistical Interpolation analysis system; this is the system supporting data assimilation efforts at GMAO, NCEP and their Joint Center for Satellite Data Assimilation partners. More recently, Dr. Todling has led the development and implementation of the GMAO Hybrid four-dimensional Ensemble-Variational Data Assimilation System. Dr. Todling has also been the lead developer of the GMAO adjoint-based tool for assessing observation impact to forecasts. More recently, Dr. Todling has been involved in testing components of JEDI, the future NASA/NOAA data assimilation system.

Current Projects


Global Atmospheric Data Assimilation

Analysis


Coupled Ocean-Atmosphere Data Assimilation

Analysis


Forecast Sensitivity and Observation Impact

Analysis

Positions/Employment


Research Meteorologist

National Aeronautics and Space Administration - Goddard Space Flight Center

2009 - Present


Senior Research Scientist

Science Applications International Corporation - NASA/Goddard Space Flight Center

1996 - 2009


Visiting Research Scientist

Universities Research Association - NASA/Goddard Space Flight Center

1994 - 1996


Post-Doctoral Reseacher

National Research Council, National Academy of Sciences - NASA/Goddard Space Flight Center

1992 - 1994

Teaching Experience


Foundations of Atmospheric Data Assimilation.  September 22-26, 1997: National Laboratory for Computational Sciences, Rio de Janeiro.


Estimation Theory and Atmospheric Data Assimilation. Winter 1997, semester course at University of Maryland's Meteorology Department.

Estimation Theory and Atmospheric Data Assimilation. January 22 to February 2, 1996, Institute for Pure and Applied Mathematics, Rio de Janeiro, Brazil.

Teaching Assistant, from March to December 1984, at the Mathematics Department at Pontificia Universidade Catolica, Rio de Janeiro, Brazil.
 

Education


1992 Ph. D. Atmospheric Sciences, University of California Los Angeles, USA

1990 M. Sc. Atmospheric Sciences, University of California Los Angeles, USA

1986 M. Sc. Physics, Pontificia Universidade Catolica, Rio de Janeiro, Brasil

1983 B. Sc. Chemistry, Pontificia Universidade Catolica, Rio de Janeiro, Brasil

Professional Societies


American Meteorological Society

1992 - Present

Awards


2014 - American Meteorological Society, Monthly Weather Review: For providing thorough, insightful, and high-quality reviews of manuscripts.

2013 - NASA Performance Award, Summary Rating of Distinguished for Performance Year 2012-2013.

2012 - NASA Performance Award, Summary Rating of Distinguished for Performance Year 2011-2012.


2011 - NASA Performance Award, In recognition and appreciation for a fully successful performance rating for 2009-2010.


2010 - Group Achievement, NASA, for delivery of the Modern Era Retrospective-analysis for Research and Applications (MERRA), a new meteorological analysis placing NASA's EOS data in a climate context.


2007 - Outstanding Performance, NASA/SAIC, for extraordinary accomplishment in the rapid development of a 4DVAR data assimilation system that includes advanced extensions of a weak-constraint formulation and built-in adjoint capability.


2005 - Outstanding Performance, NASA/SAIC, for outstanding work in integrating the GEOS-5 DAS to meet multiple high-priority GMAO objectives.

2004 - Group Achievement, NASA/SAIC, in recognition of the hard work, dedication, and outstanding teamwork in assembling components for the GEOS-5 DAS, and undertaking the initial tests on an accelerated cycle to transition to operations.


2003 -  Group Achievement, NASA/SAIC, in recognition of the successful developments, evaluation and operational transition of an improved GEOS-4 analysis system in support of CERES and other GMAO customers. Group award.

2002 - Outstanding Performance, NASA/SAIC, for the many scientific contributions to several areas of critical development and cutting-edge research, including retrospective data assimilation, analysis error estimation, and forecast bias correction.

2002 - Group Achievement, NASA/SAIC, for outstanding work on developing the adjoint of the finite-volume GCM and providing invaluable support for adjoint-based scientific applications. Joint award with R. Giering and T. Kaminski.


2001 - Outstanding Performance, NASA/GSC, for work in developing an MPI version of the GEOS DAS, and for integrating various multi-disciplinary science development paths into the DAO's operational system. Joint award with L. L. Takacs.

2000 - Outstanding Performance, NASA/GSC, for scientific achievement in developing and implementing a moisture bias correction procedure in the NASA/GEOS Terra data assimilation system. Joint award with D. P. Dee.

1998 - Outstanding Performance, NASA/Goddard Space Flight Center, for system engineering and integration in the migration of GEOS data assimilation system to the Origin 2000 platforms.


1997 -  Outstanding Performance, NASA/GSC, for leadership during the first migration of GEOS DAS to parallel computing architecture, as a crucial step toward the DAO's operational support of EOS AM1.


1994 - Outstanding Performance, NASA/Universities Space Research Association, for developing and testing advanced data assimilation schemes.


1991 - Outstanding Performance, Associated Students UCLA, in recognition of exceptional achievement as a student employee.

Grants


Exploring Model Error Formulations in the GEOS Weak-Constraint 4DVAR. - NASA - Awarded:


Dates: 2009-10-01  - 2013-09-30


A Next--generation Integrated Earth System Analysis Coupling between the Ocean and Atmosphere. - NASA - Awarded:


Dates: 2010-10-01  - 2015-09-30


Error Covariance Diagnosis and Forecast Impact Estimation in NASA GEOS DAS.

Modeling, Analysis, and Prediction Program - NASA (Modeling, Analysis, and Prediction Program) - Awarded: 2013-10-01


Dates: 2013-10-01  - 2016-09-30

Publications


Refereed

Akkraoui, A. E., N. C. Privé, R. M. Errico, and R. Todling. 2023. The GMAO Hybrid 4D-EnVar Observing System Simulation Experiment framework Monthly Weather Review 151 1717-1734 [10.1175/mwr-d-22-0254.1]

Reichle, R. H., S. Q. Zhang, J. Kolassa, Q. Liu, and R. Todling. 2023. A Weakly-Coupled Land Surface Analysis With SMAP Radiance Assimilation Improves GEOS Medium-Range Forecasts of Near-Surface Air Temperature and Humidity Quarterly Journal of the Royal Meteorological Society 149 1867-1889 [10.1002/qj.4486]

Lee, E., R. Todling, B. M. Karpowicz, et al. J. Jin, A. Sewnath, and S. K. Park. 2022. Assessment of Geo-Kompsat-2A Atmospheric Motion Vector Data and Its Assimilation Impact in the GEOS Atmospheric Data Assimilation System Remote Sensing 14 (21): 5287 [10.3390/rs14215287]

Todling, R., N. Semane, R. Anthes, and S. Healy. 2022. The relationship between two methods for estimating uncertainties in data assimilation Quarterly Journal of the Royal Meteorological Society 148 (747): 2942-2954 [10.1002/qj.4343]

Zhu, Y., R. Todling, and N. Arnold. 2022. Observation Impact and Information Retention in the Lower Troposphere of the GMAO GEOS Data Assimilation System Monthly Weather Review [10.1175/MWR-D-21-0334.1]

Reichle, R., S. Zhang, Q. Liu, et al. C. Draper, J. Kolassa, and R. Todling. 2021. Assimilation of SMAP Brightness Temperature Observations in the GEOS Land-Atmosphere Data Assimilation System IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14 10628-10643 [10.1109/jstars.2021.3118595]

Privé, N. C., R. M. Errico, R. Todling, and A. El Akkraoui. 2020. Evaluation of adjoint‐based observation impacts as a function of forecast length using an Observing System Simulation Experiment Quarterly Journal of the Royal Meteorological Society qj.3909 [10.1002/qj.3909]

Kim, M.-J., J. Jin, A. El Akkraoui, et al. W. R. Mccarty, R. Todling, W. Gu, and R. Gelaro. 2020. The Framework for Assimilating All-Sky GPM Microwave Imager Brightness Temperature Data in the NASA GEOS Data Assimilation System Monthly Weather Review 148 2433-2455 [10.1175/MWR-D-19-0100.1]

Diniz, F. L., R. Todling, and D. L. Herdies. 2020. A Brief Assessment of the Impact of Nearly 40 Years of Assimilated Observations Over the Amazon Basin Earth and Space Science 7 (3): [10.1029/2019ea000779]

Diniz, F. L., and R. Todling. 2020. Assessing the impact of observations in a multi-year reanalysis Quarterly Journal of the Royal Meteorological Society 147 (727): 724-747 [10.1002/qj.3705]

Takacs, L. L., M. J. Suarez, and R. Todling. 2018. The Stability of Incremental Analysis Update Monthly Weather Review 146 (10): 3259-3275 [10.1175/MWR-D-18-0117.1]

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]

Akella, S., R. Todling, and M. J. Suarez. 2017. Assimilation for skin SST in the NASA GEOS atmospheric data assimilation system Quarterly Journal of the Royal Meteorological Society 143 (703): 1032-1046 [10.1002/qj.2988]

Takacs, L. L., M. J. Suarez, and R. Todling. 2016. Maintaining atmospheric mass and water balance in reanalyses Quarterly Journal of the Royal Meteorological Society 142 1565-1573 [10.1002/qj.2763]

Brassington, G., M. Martin, H. Tolman, et al. S. Akella, M. Balmeseda, C. Chambers, E. Chassignet, J. Cummings, Y. Drillet, P. Jansen, P. Laloyaux, D. Lea, A. Mehra, I. Mirouze, H. Ritchie, G. Samson, P. Sandery, G. Smith, M. Suarez, and R. Todling. 2015. Progress and challenges in short- to medium-range coupled prediction Journal of Operational Oceanography 8 (sup2): s239-s258 [10.1080/1755876x.2015.1049875]

Todling, R. 2015. A lag-1 smoother approach to system-error estimation: sequential method Q.J.R. Meteorol. Soc. 141 (690): 1502-1513 [10.1002/qj.2460]

Todling, R. 2015. A complementary note to ‘A lag-1 smoother approach to system-error estimation’: the intrinsic limitations of residual diagnostics Q.J.R. Meteorol. Soc. 141 (692): 2917-2922 [10.1002/qj.2546]

Todling, R. 2013. Comparing Two Approaches for Assessing Observation Impact Mon. Weather Rev. 141 (5): 1484-1505 [10.1175/MWR-D-12-00100.1]

El Akkraoui, A., Y. Tremolet, and R. Todling. 2013. Preconditioning of variational data assimilation and the use of a bi-conjugate gradient method Q.J.R. Meteorol. Soc. 139 (672): 731-741 [10.1002/qj.1997]

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.R. Meteorol. Soc. 139 (674): 1162-1178 [10.1002/qj.2027]

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]

Daescu, D. N., and R. Todling. 2010. Adjoint sensitivity of the model forecast to data assimilation system error covariance parameters Quarterly Journal of the Royal Meteorological Society 136 (653): 2000-2012 [10.1002/qj.693]

Gelaro, R., R. H. Langland, S. Pellerin, and R. Todling. 2010. The THORPEX Observation Impact Intercomparison Experiment Mon. Wea. Rev. 138 (11): 4009-4025 [10.1175/2010MWR3393.1]

Daescu, D. N., and R. Todling. 2009. Adjoint Estimation of the Variation in Model Functional Output due to the Assimilation of Data Mon. Weather Rev. 137 (5): 1705-1716 [10.1175/2008MWR2659.1]

Errico, R. M., R. Gelaro, E. Novakovskaia, and R. Todling. 2007. General characteristics of stratospheric singular vectors Meteorol. Z. 16 (6): 621-634 [10.1127/0941-2948/2007/0245]

Stajner, I., C. Benson, H.-C. Liu, et al. S. Pawson, N. Brubaker, L.-P. Chang, L. P. Riishojgaard, and R. Todling. 2007. Ice polar stratospheric clouds detected from assimilation of Atmospheric Infrared Sounder data Geophys. Res. Lett 34 (16): L16802 [10.1029/2007GL029415]

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

Le Marshall, J., J. Jung, J. Derber, et al. R. Treadon, S. J. Lord, M. Goldberg, W. Wolf, H. C. Liu, J. Joiner, J. Woollen, R. Todling, and R. Gelaro. 2005. Impact of atmospheric infrared sounder observations on weather forecasts Eos, Transactions American Geophysical Union 86 (11): 109-116 [10.1029/2005EO110002]

LeMarshall, J., J. Jung, J. Derber, et al. R. Treadon, S. Lord, M. Goldberg, W. Wolf, H. Liu, J. Joiner, J. Woollen, R. Todling, P. van Delst, and Y. Tahara. 2005. AIRS hyperspectral data improves southern hemisphere forecasts Austral Met Mag 54 57-60

LeMarshall, J., J. Jung, J. Derber, et al. R. Treadon, S. Lord, M. Goldberg, W. Wolf, H. Liu, J. Joiner, J. Woollen, R. Todling, and R. Gelaro. 2005. Impact of atmospheric infrared sounder observations on weather forecasts Eos 86 109-116

Zhu, Y., R. Todling, J. Guo, et al. S. E. Cohn, I. M. Navon, and Y. Yang. 2003. The GEOS-3 Retrospective Data Assimilation System: The 6-Hour Lag Case Mon. Weather Rev. 131 (9): 2129-2150 [10.1175/1520-0493(2003)131<2129:TGRDAS>2.0.CO;2]

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]

Dee, P. D., and R. Todling. 2000. Data Assimilation in the Presence of Forecast Bias: The GEOS Moisture Analysis Monthly Weather Review 128 (9): 3268-3282 [http://dx.doi.org/10.1175/1520-0493(2000)128<3268:]

Tippett, M. K., S. E. Cohn, R. Todling, and D. Marchesin. 2000. Low-dimensional representation of error covariance Tellus 52A (5): 533-553

Tippett, M. K., S. E. Cohn, R. Todling, and D. Marchesin. 2000. Conditioning of the Stable, Discrete-Time Lyapunov Operator SIAM. J. Matrix Anal. & Appl. 22 (1): 56-65 [10.1137/S0895479899354822]

Todling, R., S. E. Cohn, and N. S. Sivakumaran. 1998. Suboptimal Schemes for Retrospective Data Assimilation Based on the Fixed-Lag Kalman Smoother Monthly Weather Review 126 (8): 2274-2286 [http://dx.doi.org/10.1175/1520-0493(1998)126<2274:]

Ghil, M., and R. Todling. 1996. Tracking Atmospheric Instabilities with the Kalman Filter. Part II: Two-Layer Results Monthly Weather Review 124 (10): 2340-2352 [http://dx.doi.org/10.1175/1520-0493(1996)124<2340:]

Cohn, S. E., and R. Todling. 1996. Approximate data assimilation schemes for stable and unstable dynamics JOURNAL-METEOROLOGICAL SOCIETY OF JAPAN SERIES 2 74 63--75

Todling, R., and S. E. Cohn. 1994. Suboptimal Schemes for Atmospheric Data Assimilation Based on the Kalman Filter Monthly Weather Review 122 (11): 2530-2557 [http://dx.doi.org/10.1175/1520-0493(1994)122<2530:]

Cohn, S. E., N. S. Sivakumaran, and R. Todling. 1994. A fixed-lag Kalman smoother for retrospective data assimilation Monthly Weather Review 122 (12): 2838-2867 [http://dx.doi.org/10.1175/1520-0493(1994)122<2838:]

Todling, R., and M. Ghil. 1994. Tracking Atmospheric Instabilities with the Kalman Filter. Part 1: Methodology and One-Layer Resultst Monthly Weather Review 122 (1): 183-204 [http://dx.doi.org/10.1175/1520-0493(1994)122<0183:]

Non-Refereed

Todling, R., and A. El Akkraoui. 2018. The GMAO Hybrid Ensemble-Variational Atmospheric Data Assimilation System: Version 2.0 NASA/TM-2018-104606 50 184pp

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

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.

Akella, S. R., R. Todling, and M. J. Suarez. 2016. Estimation of the Ocean Skin Temperature using the NASA GEOS Atmospheric Data Assimilation System NASA Technical Report Series on Global Modeling and Data Assimilation, NASA/TM-2016-10460 44 88pp

Takacs, L. L., M. J. Suarez, and R. Todling. 2015. Maintaining Atmospheric Mass and Water Balance Within Reanalysis Technical Report Series on Global Modeling and Data Assimilation (NASA TM-–2014-104606) 37 39pp

Todling, R. 1999. Estimation Theory and Foundations of Atmospheric Data Assimilation NASA DAO Office Notes 1999 (01): 187

Yang, W., I. M. Navon, and R. Todling. 1997. Documentation of the Tangent Linear and Adjoint Models of the Relaxed Arakawa-Schubert Moisture Parameterization Package of the NASA GEOS-1 GCM (Version 5.2) NASA/Tech. Memo. 104606 11 40 [https://gmao.gsfc.nasa.gov/pubs/docs/Yang131.pdf]