PUBLICATIONS
REFEREED PUBLICATIONS - 2024
Arteaga, L. A., and C. S. Rousseaux, 2024. Evaluation of Vertical Patterns in Chlorophyll-A Derived From a Data Assimilating Model of Satellite-Based Ocean Color. Earth and Space Science , 11 (7)doi.org/10.1029/2023EA003378 Link to Published Version
Ayres, E., R. H. Reichle, A. Colliander, M.H. Cosh, and L. Smith, 2024. Validation of Remotely Sensed and Modeled Soil Moisture at Forested and Unforested NEON Sites. IEEE Xplore , 17, 14248-14264. 10.1109/JSTARS.2024.3430928 Link to Published Version
Barahona, D., K.H. Breen, H. Kalesse-Los, and J. Roettenbacher, 2024. Deep Learning Parameterization of Vertical Wind Velocity Variability via Constrained Adversarial Training. AIES , 3 (1)doi.org/10.1175/AIES-D-23-0025.1 Link to Published Version
Boesch, D.F., G. B. Baecher, W. C. Boicourt, R. I. Cullather, S. Dangendorf, G. R. Henderson, H. H. Kilbourne, M. L. Kirwan, R. E. Kopp, S. Land, M. Li, K. J. McClure, W. Nardin, and W. V. Sweet, 2024. Sea-level rise: Projections for Maryland 2023. University of Maryland Center for Environmental Science Link to Published Version
Bresciani, C., Herdies, D. , Figueroa, S., Buchard, V., da Silva, A., Jones, C., and Carvalho, L., 2024. The South American Tropopause Aerosol Layer (SATAL). BAMS , 105 (1), E176-E192. doi.org/10.1175/BAMS-D-23-0074.1 Link to Published Version
Castellanos, P., P. Colarco, W.R, Espinosa, S. D. Guzewich, R. C. Levy, R. L. Miller, M. Chin, R. A. Kahn, O. Kemppinen, H. Moonsmüller, E. P. Nowottnick, A. Rocha-Lima, M. D. Smith, J.E. Yorks, and H. Yu, 2024. Mineral dust optical properties for remote densing and global modeling: A review. Elsevier , 303doi.org/10.1016/j.rse.2023.113982 Link to Published Version
Collow, A., Colarco, P., da Silva, A., Buchard, V., Bian, H., Chin, M., Das, S., Govindaraju, R., Kim, D., Aquila, V., and Sherman. E., 2024. Benchmarking GOCART-2G in the Goddard Earth Observing System (GEOS). GMD , 17 (3)https://doi.org/10.5194/gmd-17-1443-2024 Link to Published Version
Crow, W. T., R. D. Koster, R. H. Reichle, F. Chen, and Q. Liu, 2024. Neglect of Potential Seasonal Streamflow Forecasting Skill in the United States National Water Model. GRL , 51 (4)doi.org/10.1029/2023GL105649 Link to Published Version
Dezfuli, A., C. M. Ichoku, and M. G. Bosilovich, 2024. Large-Scale Climate Features Control Fire Emissions and Transport in Africa. GRL , 51 (18)doi.org/10.1029/2024GL110179 Link to Published Version
Dorheim, K., S. Gering, R. Gieseke, C. Hartin, L. Pressburgeer, A. N. Shiklomanov, S. J. Smith, C. Tebaldi, D. L. Woodard, and B. Bond-Lamberty, 2024. Hector V3.2.0: functionality and performance of a reduced-complexity climate model. Geoscientific Model Development , 17 (12)https://doi.org/10.5194/gmd-17-4855-2024 Link to Published Version
Flemming, J., and A. Collow, 2024. Global Particulate Matter Concentrations in 2023 as Recorded by Two Products. Air Quality and Climate Bulletin No.4 , 2-3. Link to Published Version
Garcí-Franco, J. L., C.-Y., Lee, S. J. Camargo, M. K. Tippett, N. G. Emlaw, D. Kim, Y.-K. Lim, and A. Molod, 2024. Tropical cyclones in the GEOS-S2S-2 subseasonal forecasts. Weather and Forecasting doi.org/10.1175/WAF-D-23-0208.1 Link to Published Version
Huo, X., A. M. Fox, H. Dashti, C. Devine, W. Gallery, W. K. Smith, B. Raczka, J. L. Anderson, A. Rogers, and D. J. P. Moore, 2024. Integrating State Data Assimilation and Innovative Model Parameterization Reduces Simulated Carbon Uptake in the Artic and Boreal Region. JGR Biogeosciences , 129 (9)https://doi.org/10.1029/2024JG008004 Link to Published Version
Ji, F., F. Li, D. Hao, A. N. Shiklomanov, X. Yang, P. A. Townsend, H. Dashti, T. Nakaji, K. R. Kovach, H. Liu, M. Luo, and M. Chen, 2024. Unveiling the transferability of PLSR models for leaf trait estimation: lessons from a comprehensive analysis with a novel global dataset. New Phytol. , 243 (1)https://doi.org/10.1111/nph.19807 Link to Published Version
Joshi, J. R., 2024. Dust model sensitivity to dust source mask, sandblasting efficiency, air density, and land use: Implications for model improvement. Atmospheric Pollution Research , 15 (10)https://doi.org/10.1016/j.apr.2024.102230 Link to Published Version
Karpowicz, B. M., N. C. Privé, 2024. Using the GEOS 5 Nature Run to Simulate 2053 nm Coherent Doppler Wind Lidar Observations. AMS https://doi.org/10.1175/JTECH-D-23-0117.1 Link to Published Version
Kim, Y., Kimball. J., Parazoo, N., Xu, X., Colliander, A., Reichle, R., Xiao, J., and Li, X., 2024. Diagnosing spring onset across the North American Arctic-boreal region using complementary satellite environmental records from SMAP, AMSR2, OCO-2, and MODIS. JGR , 129 (8)
Koster, R. D., A. F. Feldman, T. R. H. Holmes, M. C. Andreson, W. T. Crow, and C. Hain, 2024. Estimating Hydrological Regimes from Observational Soil Moisture, Evapotranspiration, and Air Temperature Data. J. Hydrometerorol. doi.org/10.1175/JHM-D-23-0140.1 Link to Published Version
Li, Y., D. Tong, P. Makkaroon, T. DelSole, Y. Tang, P. Campbell, B. Bkaer, M. Cohen, A. Darmenov, R. Ahmadov, E. James, E. Hyer, and P. Xian, 2024. Multi-Agency Ensemble Forecast of Wildfire Air Quality in the United States: Toward Community Consensus of Early Warning. BAMS doi.org/10.1175/BAMS-D-23-0208.1 Link to Published Version
Lin, B., M. W. Mclinden, X. Cai, G. M. Heymsfield, N. Privé, S. Harrah, and L. Li, 2024. Sea surface barometry with an O2 differential absorption radar: retrieval algorithm development and simulation. Frontiers , 5-2024doi.org/10.3389/frsen.2024.1399839 Link to Published Version
Malings, C., K. E. Knowland, C. Keller, S. Cohn, B. Duncan, and N. Pavlovic, 2024. Forecasting with the GEOS-CF System and Other NASA Resources to Support Ait Quality Management. Springer Link , pp67-71. 10.1007/978-3-031-53525-3_13 Link to Published Version
Massound, E. C., Y.-K. Lim, L.C. Andrews, and M. Girotto, 2024. Connecting Global Modes of Variability to Climate in High Mountian Asia. atmosphere , 15 (2)doi.org/10.3390/atmos15020142 Link to Published Version
Mayer, M., S. Kato, M. Bosilovich, P. Bechtold, J. Mayer, M. Schröder, A. Behrangi, M. Wild, S. Kobayashi, Z. Li, and T. L’Ecuyer, 2024. Assessment of atmospheric and surface energy budgets using observation-based data products. Springer doi.org/10.1007/s10712-024-09827-x Link to Published Version
McGrath-Spangler, E. L., N. C. Priv´, B. M. Karpowicz, I. Moradi, A. K. Heidinger, 2024. Using OSSEs to Evaluate GXS Impact in the Context of International Coordination. JTECH doi.org/10.1175/JTECH-D-23-0141.1 Link to Published Version
Newman, P. A., L. R. Lait, N. A. Kramarova, L. Coy, S. M. Frith, L. D. Oman, and S. S. Dhomse, 2024. Record High March 2024 Artic Total Column Ozone. Geosphysical Research Letters , 15 (18)https://doi.org/10.1029/2024GL110924 Link to Published Version
Rahmati, M, W. Amelung, C. Brogi, J. Dari, A. Flammini, H. Bogena, L. Brocca, H. Chen, J. Groh, R. D. Koster, K. A. McColl, C. Montzka, S. Moradi, A. Rahi, F. Sharghi, and H. Vereecken, 2024. Soil Moisture Memory: State-Of-The-Art and the Way Forward. AGU , 62 (2)https://doi.org/10.1029/2023RG000828 Link to Published Version
Schubert, S., Y. Chang, A. M. DeAngelis, Y.-K. Lim, N. P. Thomas, R. D. Koster, M. G. Bosilovich, A. M. Molod, A. Collow, and A. Dezfuli, 2024. Insights into the Causes and Predictability of the 2022/23 California Flooding. Journal of Climate doi.org/10.1175/JCLI-D-23-0696.1 Link to Published Version
Sehgal, V., B. Mohanty and R. Reichle, 2024. Rootzone Soil Moisture Dynamics Using Terrestrial Water-Energy Coupling. Geophysical Research Letters , 51 (19) https://doi.org/10.1029/2024GL110342 Link to Published Version
Shah, V., C. Keller, K. E. Knowland, A. Christiansen, L. Hu, H. Wang, X. Lu, B. Alexander, and D. J. Jacob, 2024. Particulate Nitrate Photolysis as a Possible Driver od Rising Tropospheric Ozone. Geophysical Research Letters , 51 (5)doi.org/10.1029/2023GL107980 Link to Published Version
Shang, X., A., Filioglou, M., Sundström, A.-M., Parrington, M., Buchard, V., Darmenov, A. S., Welton, E. J., Marinou, E., Amiridis, V., Sicard, M., Rodríguez-Gómez, A., Komppula, M., and Mielonen, T., 2024. Monitoring biomass burning aerosol transport using CALIOP observations and 1 reanalysis models: a Canadian wildfire event in 2019. Atmos. Chem. Phys , 24 (2)doi.org/10.5194/acp-24-1329-2024 Link to Published Version
Silva, S., Keller, C., 2024. Limitations of XAI Methods for Process-Level Understanding in the Atmospheric Sciences. AIES , 3 (1)doi.org/10.1175/AIES-D-23-0045.1 Link to Published Version
Zheng, M., L. Delle Monache, X. Wu, B. Kawzenuk, F. M. Ralph, Y. Zhu, R. Torn, V. S. Tallapragada, Z. Zhang, and K. Wu, 2024. Impact of Atmospheric River Reconnaissance Dropsonde Data as Anchor Observations on Satellite Data Assimilation in FV3GFS. Journal of Atmospheric and Oceanic Technology https://doi.org/10.1175/JTECH-D-23-0167.1 Link to Published Version
TECHNICAL MEMORANDA
Endsley, K.Arthur, John S. Kimball, Tobias Kundig, Rolf H. Reichle, Joseph V. Ardizzone, 2023. Validation Assessment for the Soil Moisture Active Passive (SMAP) Level 4 Carbon (L4_C) Data Product Version 7. NASA/TM-2023-104606, Vol. 65, 56 pp. Document (7224 kB).
Reichle, Rolf H., Qing Liu, Joseph V. Ardizzone, Michel Bechtold, Wade T. Crow, Gabrielle J. M. De Lannoy, John S. Kimball and Randal D. Koster, 2023. Soil Moisture Active Passive (SMAP) Project Assessment Report for Version 7 of the L4_SM Data Product. NASA/TM-2023-104606, Vol. 64, 91 pp. Document (17397 kB).
Kemppinen, Osku, Peter R. Colarco and Patricia Castellanos, 2022. GEOS aerosol optical table calculation package GEOSmie. NASA/TM-2023-104606, Vol. 63, 81 pp. Document (3209 kB).
Chang, Yehui, Siegfried Schubert, Randal Koster, Andrea Molod, and Yong-Kwon Lim, 2022. Climate Characteristics of the Atmospheric Analysis Increments from the GEOS S2S V3 AOGCM Replayed to MERRA-2. NASA Technical Report Series on Global Modeling and Data Assimilation, NASA/TM-2021-104606, Vol. 62, 147 pp. Document (46192 kB).
Kimball, John, K. Arthur Endsley, Tobias Kundig, Joseph Glassy, Rolf H. Reichle and Joseph V. Ardizzone, 2022. Validation Assessment for the Soil Moisture Active Passive (SMAP) Level 4 Carbon (L4_C) Data Product Version 6. ASA Technical Report Series on Global Modeling and Data Assimilation, NASA/TM-2022-104606, Vol. 61, 45 pp. Document (6285 kB).
Reichle, Rolf, Qing Liu, Randal D. Koster, Joseph V. Ardizzone, Andreas Colliander, Wade T. Crow, Gabrielle J. M. De Lannoy and John S. Kimball, 2022. Soil Moisture Active Passive (SMAP) Project Assessment Report for Version 6 of the L4_SM Data Product. NASA Technical Report Series on Global Modeling and Data Assimilation, NASA/TM-2021-104606, Vol. 60, 72 pp. Document (8595 kB).
Reichle, Rolf, and Qing Liu, 2021. Observation-Corrected Precipitation for the SMAP Level 4 Soil Moisture (Version 6) Product and the GEOS R21C Reanalysis. NASA Technical Report Series on Global Modeling and Data Assimilation, NASA/TM-2021-104606, Vol. 59, 32 pp. Document (404 kB).
Reichle, Rolf, Qing Liu, Randal D. Koster, Joseph V. Ardizzone, Andreas Colliander, Wade T. Crow, Gabrielle J. M. De Lannoy and John S. Kimball, 2021. Soil Moisture Active Passive (SMAP) Project Assessment Report for Version 5 of the L4_SM Data Product. NASA Technical Report Series on Global Modeling and Data Assimilation, NASA/TM-2021-104606, Vol. 58, 60 pp. Document (3713 kB).
Chang, Yehui, Siegfried Schubert, Randal Koster and Andrea Molod, 2021. Tendency Bias Correction in the GEOS AGCM. NASA Technical Report Series on Global Modeling and Data Assimilation, NASA/TM-2021-104606, Vol. 57, 78 pp. Document (5255 kB).
Kimball, John, K. Arthur Endsley, Tobias Kundig, Joseph Glassy, Rolf H. Reichle and Joseph V. Ardizzone, 2021. Validation Assessment for the Soil Moisture Active Passive (SMAP) Level 4 Carbon (L4_C) Data Product Version 5. NASA Technical Report Series on Global Modeling and Data Assimilation, NASA/TM-2021-104606, Vol. 56, 31 pp. Document (2610 kB).
Schubert, Siegfreid, Young-Kwon Lim, Andrea Molod, and Allison Marquardt Collow, 2021. A Phenomenon-Based Decomposition of Model-Based Estimates of Boreal Winter ENSO Variability. NASA Technical Report Series on Global Modeling and Data Assimilation, NASA/TM-2021-104606, Vol. 55, 88 pp. Document (7722 kB).
Carvalho, David, and Will McCarty, 2020. Position Estimation of Atmospheric Motion Vectors for Observation System Simulation Experiments. NASA Technical Report Series on Global Modeling and Data Assimilation, NASA/TM-2019-104606, Vol. 54, 44 pp. Document (2175 kB).
Schubert, Siegfried, Anna Borovikov, Young-Kwon Lim, and Andrea Molod, 2019. Ensemble Generation Strategies Employed in the GMAO GEOS-S2S Forecast System. NASA Technical Report Series on Global Modeling and Data Assimilation, NASA/TM-2019-104606, Vol. 53, 75 pp. Document (5002 kB).
Reichle, Rolf H., Qing Liu, Randal D. Koster, Joseph V. Ardizzone, Andreas Colliander, Wade T. Crow, Gabrielle J. M. De Lannoy, and John S. Kimball, 2018. Soil Moisture Active Passive (SMAP) Project Assessment Report for Version 4 of the L4_SM Data Product. NASA Technical Report Series on Global Modeling and Data Assimilation, NASA/TM-2018-104606, Vol. 52, 72 pp. Document (11805 kB).
Akella, Santha, and Max Suarez, 2018. The Atmosphere-Ocean Interface Layer of NASA’s Goddard Earth Observing System Model and Data Assimilation System. NASA Technical Report Series on Global Modeling and Data Assimilation, NASA/TM-2018-104606, Vol. 51, 42 pp. Document (4892 kB).
Todling, Ricardo, and Amal El Akkraoui, 2018. The GMAO Hybrid Ensemble-Variational Atmospheric Data Assimilation System: Version 2.0. NASA Technical Report Series on Global Modeling and Data Assimilation, NASA/TM-2018-104606, Vol. 50, 184 pp. Document (5543 kB).
Kim, Jong, Santha Akella, Arlindo M. da Silva, Ricardo Todling, and William 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, Vol. 49, 44 pp. Document (5922 kB).
Errico, Ronald M., Nikki C. Privé, David Carvalho, Meta Sienkiewicz, Amal El Akkraoui, Jing Guo, Ricardo Todling, Will McCarty, William M. Putman, Arlindo da Silva, Ronald Gelaro, Isaac Moradi, 2017. Description of the GMAO OSSE for Weather Analysis Software Package: Version 3. NASA/TM-2017-104606, Vol. 48, 156 pp. Document (2473 kB).
Collow, Allison B. Marquardt, Sarith P. Mahanama, Michael G. Bosilovich, Randal D. Koster, and Siegfried D. Schubert, 2017. An Evaluation of Teleconnections Over the United States in an Ensemble of AMIP Simulations with the MERRA-2 Configuration of the GEOS Atmospheric Model. NASA/TM-2017-104606, Vol. 47, 68 pp. Document (5623 kB).
McCarty, Will, Lawrence Coy, Ronald Gelaro, Albert Huang, Dagmar Merkova, Edmond B. Smith, Meta Seinkiewicz, and Krzysztof Wargan, 2016. MERRA-2 Input Observations: Summary and Assessment. NASA Technical Report Series on Global Modeling and Data Assimilation, NASA/TM-2016-104606, Vol. 46, 61 pp. Document (3553 kB).
Randles, C. A., A. M. da Silva, V. Buchard, A. Darmenov, P. R. Colarco, V. Aquila, H. Bian, E. P. Nowottnick, X. Pan, A. Smirnov, H. Yu, and R. Govindaraju, 2016. The MERRA-2 Aerosol Assimilation. NASA Technical Report Series on Global Modeling and Data Assimilation, NASA/TM-2016-104606, Vol. 45, 143 pp. Document (91522 kB).
Akella, Santha, Ricardo Todling and Max 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-2016-104606, Vol. 44, 88 pp. Document (12742 kB).
Bosilovich, Michael G., Santha Akella, Lawrence Coy, Richard Cullather, Clara Draper, Ronald Gelaro, Robin Kovach, Qing Liu, Andrea Molod, Peter Norris, Krzysztof Wargan, Winston Chao, Rolf Reichle, Lawrence Takacs, Yury Vikhliaev, Steve Bloom, Allison Collow, Stacey Firth, Gordon Labow, Gary Partyka, Steven Pawson, Oreste Reale, Siegfried D. Schubert, and Max Suarez, 2015. MERRA-2: Initial Evaluation of the Climate. NASA/TM–2015–104606, Vol. 43, 139 pp. Document (20707 kB).
Kimball, John S., Lucas A. Jones,Joseph Glassy, E. Natasha Stavros, Nima Madani, Rolf H. Reichle, Thomas Jackson, and Andreas Colliander, 2015. Soil Moisture Active Passive (SMAP) Project Calibration and Validation for the L4_C Beta-Release Data Product. NASA/TM–2015-104606, Vol. 42, 37 pp. Document (13765 kB).
Schubert, Siegfried, Will Pozzi, Kingtse Mo, Eric F. Wood, Kerstin Stahl, Mike Hayes, Juergen Vogt, Sonia Seneviratne, Ron Stewart, Roger Pulwarty, and Robert Stefanski, 2015. GDIS Workshop Report. NASA/TM–2015-104606, Vol. 41, 40 pp. Document (623 kB).
Reichle, Rolf H., Gabrielle J. M. De Lannoy, Qing Liu, Andreas Colliander, Austin Conaty, Thomas Jackson, John Kimball, and Randal D. Koster, 2015. Soil Moisture Active Passive (SMAP) Project Assessment Report for the Beta-Release L4_SM Data Product. NASA/TM-2015-104606, Vol. 40. Document (5812 kB).
Mahanama, Sarith P., Randal D. Koster, Gregory K. Walker, Lawrence L. Takacs, Rolf H. Reichle, Gabrielle De Lannoy, Qing Liu, Bin Zhao, and Max J. Suarez, 2015. Land Boundary Conditions for the Goddard Earth Observing System Model Version 5 (GEOS-5) Climate Modeling System - Recent Updates and Data File Descriptions. NASA/TM–2015-104606, Vol. 39, 55 pp. Document (4608 kB).
Darmenov, Anton, and Arlindo da Silva, 2015. The Quick Fire Emissions Dataset (QFED): Documentation of versions 2.1, 2.2 and 2.4. NASA/TM–2015–104606, Vol. 38. Document (68725 kB).
Takacs, Lawrence L., Max Suarez, and Ricardo Todling, 2015. Maintaining Atmospheric Mass and Water Balance Within Reanalysis. NASA/TM–2014-104606, Vol. 37. Document (3732 kB).
Gelaro, Ronald, William M. Putman, Steven Pawson, Clara Draper, Andrea Molod, Peter M. Norris, Lesley Ott, Nikki Privé, Oreste Reale, Deepthi Achuthavarier, Michael Bosilovich, Virginie Buchard, Winston Chao, Lawrence Coy, Richard Cullather, Arlindo da Silva, Anton Darmenov, Ronald M. Errico, Marangelly Fuentes, Min-Jeong Kim, Randal Koster, Will McCarty, Jyothi Nattala, Gary Partyka, Siegfried Schubert, Guillaume Vernieres, Yuri Vikhliaev, and Krzysztof Wargan, 2015. Evaluation of the 7-km GEOS-5 Nature Run. NASA/TM–2014-104606, Vol. 36. Document (88612 kB).
Reichle, R. H., and Q. Liu, 2014. Observation-Corrected Precipitation Estimates in GEOS-5. NASA/TM–2014-104606, Vol. 35. Document (495 kB).
Keppenne, C. L., M. M. Rienecker, R. M. Kovach, and G. Vernieres, 2014. Background error covariance estimation using information from a single model trajectory with application to ocean data assimilation into the GEOS-5 coupled model. NASA/TM-2014-104606, Vol. 34. Document (1941 kB).
Rousseaux, C. S., and W. W. Gregg, 2014. The effects of chlorophyll assimilation on carbon fluxes in a global biogeochemical model. NASA/TM-2014-104696, Vol. 33. Document (942 kB).
Provencal, S., P. Kishcha, E. Elhacham, A. M. da Silva, and P. Alpert, 2014. Estimates of AOD Trends (2002 – 2012) over the World’s Major Cities based on the MERRA Aerosol Reanalysis. NASA/TM-2014-104606, Vol. 32, 40 pp. Document (3247 kB).
Gregg, W. W., N. W. Casey, and C. S. Rousseaux, 2013. Global surface ocean carbon estimates in a model forced by MERRA. NASA Technical Report Series on Global Modeling and Data Assimilation, NASA TM-2013-104606, Vol. 31, 39 pp. Document (1170 kB).
Vernieres, G., M. Rienecker, R. Kovach, and C. Keppenne, 2012. The GEOS-iODAS: Description and Evaluation. NASA Technical Report Series on Global Modeling and Data Assimilation, NASA TM—2012-104606, Vol. 30, 61 pp. Document (13707 kB).
Rienecker, M.M., D. Dee, J. Woollen, G. P. Compo, K. Onogi, R. Gelaro, M. G. Bosilovich, A. da Silva, S. Pawson, S. Schubert, M. Suarez, D. Barker, H. Kamahori, R. Kistler, and S. Saha, 2012. Atmospheric Reanalyses—Recent Progress and Prospects for the Future. A Report from a Technical Workshop, April 2010. NASA Technical Report Series on Global Modeling and Data Assimilation, NASA TM—2012-104606, Vol. 29, 56 pp. Document (9410 kB).
Molod, A., L. Takacs, M. Suarez, J. Bacmeister, I.-S. Song, and A. Eichmann, 2012. The GEOS-5 Atmospheric General Circulation Model: Mean Climate and Development from MERRA to Fortuna. NASA Technical Report Series on Global Modeling and Data Assimilation, NASA TM—2012-104606, Vol. 28, 117 pp. Document (11776 kB).
Rienecker, M.M., M. J. Suarez, R. Todling, J. Bacmeister, L. Takacs, H.-C. Liu, W. Gu, M. Sienkiewicz, R. D. Koster, R. Gelaro, I. Stajner, and J. E. Nielsen, 2008. The GEOS-5 Data Assimilation System - Documentation of Versions 5.0.1, 5.1.0, and 5.2.0. Technical Report Series on Global Modeling and Data Assimilation, Vol. 27, 1-118 pp. Document (11978 kB).
Bloom, S., A. da Silva, D. Dee, M. Bosilovich, J.-D. Chern, S. Pawson, S. Schubert, M. Sienkiewicz, I. Stajner, W.-W. Tan, M.-L. Wu, 2005. Documentation and Validation of the Goddard Earth Observing System (GEOS) Data Assimilation System - Version 4. Technical Report Series on Global Modeling and Data Assimilation 104606, Vol. 26, 1-187 pp. Document (18124 kB).
Waliser, D., S. Schubert, A. Kumar, K. Weickmann, and R. Dole, 2003. Modeling, Simulation, and Forecasting of Subseasonal Variability. NASA Technical Report Series on Global Modeling and Data Assimilation, NASA/TM-2016-104606, Vol. 25, 70 pp. Document (12998 kB).
Rienecker, M., A. Troccoli, C. Keppenne, G. Johnson, 2003. Temperature Data Assimilation with Salinity Corrections: Validation for the NSIPP Ocean Data Assimilation System in the Tropical Pacific Ocean, 1993-1998. Technical Report Series on Global Modeling and Data Assimilation 104606, Vol. 24, 1-39 pp. Document (3077 kB).
Schubert, S., R. Dole, H. van den Dool, M. Suarez, D. Waliser, 2002. Prospects for Improved Forecasts of Weather and Short-Term Climate Variability on Subseasonal (2-Week to 2-Month) Time Scales. Technical Report Series on Global Modeling and Data Assimilation 104606, Vol. 23, 1-163 pp. Document (11999 kB).
Gregg, W.W., 2002. A Coupled Ocean-Atmosphere Radiative Model for Global Ocean Biogeochemical Models. Technical Report Series on Global Modeling and Data Assimilation 104606, Vol. 22, 1-31 pp. Document (2513 kB).
Keppene, C. L., and M. Rienecker, 2001. Design and Implementation of a Parallel Multivariate Ensemble Kalman Filter for the Poseidon Ocean General Circulation Model. NASA Technical Memorandum 104606, Vol. 21. Document (2725 kB).
Chang, Y., S. D. Schubert, S. J. Lin, S. Nebuda, B.-W. Shen, 2001. The Climate of the FVCCM-3 Model. Technical Report Series on Global and Data Assimilation, Vol. 20. Document (8273 kB).
Chou, M.-D., M. Suarez, X.-Z. Liang, M. M.-H. Yan, 2001. A Thermal Infrared Radiation Parameterization for Atmospheric Studies. Technical Report Series on Global Modeling and Data Assimilation 104606, Vol. 19. Document (1954 kB).
Pegion, P. J., S. D. Schubert, M. Suarez, 2000. An Assessment of the Predictability of Northern Winter Seasonal Means with the NSIPP 1 AGCM. Technical Report Series on Global Modeling and Data Assimilation 104606, Vol. 18. Document (8353 kB).
Bacmeister, J., S. D. Schubert, M. Suarez, P. J. Pegion, 2000. Atlas of Seasonal Means Simulated by the NSIPP 1 Atmospheric GCM. Technical Report Series on Global Modeling and Data Assimilation 104606, Vol. 17. Document (8943 kB).
Takacs, L., W. Sawyer, M. J. Suarez, and M. S. Fox-Rabinowitz, 1999. Filtering Techniques on a Stretched Grid General Circulation Model. NASA Technical Memorandum 104606, Vol. 16. Document (3192 kB).
Chou, M.-D., and M. Suarez, 1999. A Solar Radiation Parameterization for Atmospheric Studies. Technical Report Series on Global Modeling and Data Assimilation 104606, Vol. 15. Document (1880 kB).
Bosilovich, M. G., and S. D. Schubert, 1998. A Comparison of GEOS Assimilated Data with FIFE Observations. Technical Report Series on Global Modeling and Data Assimilation 104606, Vol. 14. Document (2969 kB).
Min, W., and S. Schubert, 1997. Interannual Variability and Potential Predictability in Reanalysis Products. Technical Report Series on Global Modeling and Data Assimilation 104606, Vol. 13. Document (16062 kB).
Chang, A., and L. Chiu, 1997. Comparison of Satellite Global Rainfall Algorithms. Technical Report Series on Global Modeling and Data Assimilation 104606, Vol. 12. Document (305 kB).
Yang, W., I. M. Navon, R. Todling, 1997. Documentation of the Tangent and Adjoint Models of the Relaxed Arakawa-Schubert Moisture Parameterization Package of the NASA GEOS-1 GCM. Technical Report Series on Global Modeling and Data Assimilation 104606, Vol. 11. Document (331 kB).
Takacs, L., and M. Suarez, 1996. Dynamical Aspects of Climate Simulations Using the GEOS General Circulation Model. NASA Technical Memorandum 104606, Vol. 10. Document (3578 kB).
Koster, R. D., and M. J. Suarez, 1996. Energy and Water Balance Calculations in the Mosaic LSM. Technical Report Series on Global Modeling and Data Assimilation 104606, Vol. 9. Document (2528 kB).
Yang, W., and I. M. Navon, 1995. Documentation of the Tangent Linear Model and Its Adjoint of the Adiabatic Version of the NASA GEOS-1 C-Grid GCM (Version 5.2). Technical Report Series on Global Modeling and Data Assimilation 104606, Vol. 8. Document (363 kB).
Schubert, S. D., and R. Rood, 1995. Proceedings of the Workshop on the GEOS-1 Five-Year Assimilation. NASA Technical Memorandum 104606, Vol. 7. Document (24028 kB).
Schubert, S. D., C. K. Park, C. Y. Wu, W. Higgins, Y. Kondratyeva, A. Molod, L. L. Takacs, M. Seablom, R. B. Rood, 1995. A Multiyear Assimilation with the GEOS-1 System: Overview and Results. NASA Technical Memorandum 104606, Vol. 6. Document (14369 kB).
Suarez, M., and L. L. Takacs, 1995. Documentation of the Aries-GEOS Dynamical Core: Version 2. NASA Technical Memorandum 104606, Vol. 5. Document (1667 kB).
Pfaendtner, J., S. Bloom, D. Lamich, M. Seablom, M. Sienkiewicz, J. Stobie, A. da Silva, 1995. Documentation of the Goddard Earth Observing System (GEOS) Data Assimilation System: Version 1. NASA Technical Memorandum 104606, Vol. 4. Document (2674 kB).
Chou, M.-D., M. J. Suarez, X.-Z. Liang, M. Yan, 1994. An Efficient Thermal Infrared Radiation Parameterization for Use in General Circulation Models. Technical Report Series on Global Modeling and Data Assimilation 104606, Vol. 3. Document (2587 kB).
Li, Y., S. Moorthi, J. R. Bates, 1994. Direct Solution of the Implicit Formulation of Fourth Order Horizontal Diffusion for Gridpoint Models on the Sphere. Technical Report Series on Global Modeling and Data Assimilation 104606, Vol. 2. Document (1876 kB).
Takacs, L., A. Molod, T. Wang, 1994. Documentation of the Goddard Earth Observing System (GEOS) General Circulation Model: Version 1. Technical Report Series on Global Modeling and Data Assimilation 104606, Vol. 1. Document (4320 kB).
GMAO OFFICE NOTES
GMAO Office Note No. 22 (Version 1.1): Collow, A., V. Buchard, M. Chin, P. Colarco, A. Darmenov, and A. da Silva, 2023. Supplemental Documentation for GEOS Aerosol Products Document [PDF]. See also Version 1.0 (2023).
GMAO Office Note No. 21 (Version 1.0): Wargan, K., B. Weir, 2022. File Specification for MERRA-2 Stratospheric Composition Reanalysis of Aura MLS (M2-SCREAM) Document [PDF].
GMAO Office Note No. 20 (Version 1.1): Keller, C., H. Amos, V. Buchard, A. Darmenov, S. Shen, M. Deloria Knoll, F. Villavicencio, M. Bosilovich, 2021. File Specification for MERRA-2 Country-Level Surface PM2.5 Monthly Mean Product Document [PDF]. See also Version 1.0 (2021). See also Version 1.0 (2021). See also Version 1.0 (2021). See also Version 1.0 (2021).
GMAO Office Note No. 19 (Version 1.3): Collow, Allison, M. Bosilovich, A. Dezfuli, and R. Lucchesi, 2023. File Specification for MERRA-2 Climate Statistics Products Document [PDF]. See also Version 1.2 (2021). See also Version 1.2 (2021). See also Version 1.1 (2021). See also Version 1.0 (2020).
GMAO Office Note No. 18 (Version 1.0): Collow, Allison, R. Lucchesi, and A. Da Silva, 2020. File Specification for GEOS Products Sampled Along Aircraft Trajectories Document [PDF].
GMAO Office Note No. 17 (Version 1.3): Knowland, K. Emma, C.A. Keller, and R. Lucchesi, 2020. File Specification for GEOS-CF Products Document [PDF]. See also Version 1.2 (2022). See also Version 1.1 (2020). See also Version 1.0 (2019).
GMAO Office Note No. 16 (Version 1.0): Nakada, K., R. Kovach, J. Marshak, and A. Molod, 2018. S2S-2_1: File Specification Document [PDF].
GMAO Office Note No. 15 (Version 1.0): Collow, A., M. Bosilovich, and R. Lucchesi, 2018. File Specification for M2AMIP Products Document [PDF].
GMAO Office Note No. 14 (Version 1.0): Putman, W., and M. J. Suarez, 2017. Overview of the GEOS Atmospheric Model and the Challenges of Using it at Exascale Document [PDF].
GMAO Office Note No. 13 (Version 1.0): Kimball, J.S., L. A. Jones, J. Glassy, E. N. Stavros, N. Madani, R. H. Reichle, T. Jackson, and A. Colliander, 2016. Soil Moisture Active Passive Mission L4_C Data Product Assessment (Version 2 Validated Release) Document [PDF].
GMAO Office Note No. 12 (Version 1.0): Reichle, R., G. J. M. De Lannoy, Q. Liu, J. V. Ardizzone, F. Chen, A. Colliander, A. Conaty, W. Crow, T. Jackson, J. Kimball, R. D. Koster, and E. Brent Smith, 2016. Soil Moisture Active Passive Mission L4_SM Data Product Assessment (Version 2 Validated Release) Document [PDF].
GMAO Office Note No. 11 (Version 2.1): Endsley, K.A., J. Glassy, J. S. Kimball, L. A. Jones, R. H., Reichle, J. V. Ardizzone, G.-K. Kim, R. A. Lucchesi, E. B. Smith, and B. H. Weiss, 2021. Soil Moisture Active Passive (SMAP) Mission Level 4 Carbon (L4_C) Product Specification Document | GMAO Office Note No. 11 (Version 2.2) Document [PDF]. See also Version 2.1 (2021). See also Version 2.0 (2016). See also Version 1.9 (2015).
GMAO Office Note No. 10 (Version 1.6): Reichle, R.H., R. A. Lucchesi, J. V. Ardizzone, G.-K. Kim, E. B. Smith, and B. H. Weiss, 2018. Soil Moisture Active Passive (SMAP) Mission Level 4 Surface and Root Zone Soil Moisture (L4_SM) Product Specification Document Document [PDF]. See also Version 1.5 (2018). See also Version 1.4 (2015).
GMAO Office Note No. 9 (Version 1.1): Bosilovich, M. G., R. Lucchesi, and M. Suarez, 2015. MERRA-2: File Specification Document [PDF].
GMAO Office Note No. 8 (Version 1.0): Kouatchou, J., A. Molod, J. E. Nielsen, B. Auer, W. Putman and T. Clune, 2015. GEOS-5 Chemistry Transport Model User's Guide Document [PDF].
GMAO Office Note No. 7 (Version 1.0): da Silva, A. M., C. A. Randles, V. Buchard, A. Darmenov, P. R. Colarco, and R. Govindaraju, 2015. File Specification for the MERRA Aerosol Reanalysis (MERRAero) Document [PDF].
GMAO Office Note No. 6: da Silva, A.M., W. Putman, and J. Natalla, 2015. File Specification for the 7-km GEOS-5 Nature Run, Ganymed Release (Non-hydrostatic 7-km Global Mesoscale Simulation) Document [PDF].
GMAO Office Note No. 5 (Version 1.0): Putman, W., A. M. da Silva, L. E. Ott, and A. Darmenov, 2014. Model Configuration for the 7-km GEOS-5 Nature Run, Ganymed Release (Non-hydrostatic 7-km Global Mesoscale Simulation) Document [PDF].
GMAO Office Note No. 4 (Version 1.2): Lucchesi, R., 2018. File Specification for GEOS-5 FP (Forward Processing) Document [PDF]. See also Version 1.1 (2017). See also Version 1.0 (2013).
GMAO Office Note No. 3: Reichle, R. H., 2012. The MERRA-Land Data Product (Version 1.2) Document [PDF].
GMAO Office Note No. 2 (Version 1.4): Lucchesi, R., 2015. File Specification for GEOS-5 FP-IT (Forward Processing for Instrument Teams) Document [PDF]. See also Version 1.2 (2013).
GMAO Office Note No. 1: Lucchesi, R., 2012. File Specification for MERRA Products (Version 2.3) Document [PDF].
DAO OFFICE NOTES
DAO Office Note 2002-01: Yang, R., et al., 2002. Tangent Linear Analysis of the Mosaic Land Surface Model Document [PDF].
DAO Office Note 2001-11: Poli, P., et al., 2001. One-dimensional Variational Analysis using GPS radio occultation refractivity Document [PDF].
DAO Office Note 1999-004: Sawyer, W., et al., 1999. Benchmark and Unit Test Results ofthe Message-Passing GEOS General Circulation Model Document [PDF].
DAO Office Note 1999-003: Molod, A., 1999. The land surface component in GEOS: Model formulation Document [PDF].
DAO Office Note 99-02: Zhu, Y., 1999. Technical Remarks on Smoother Algorithms Document [PDF].
DAO Office Note 1999-01: Todling, R., 1999. Estimation Theory and Foundations of Atmospheric Data Assimilation Document [PDF].
DAO Office Note 1998-009: Sawyer, W., et al., 1998. GEOS-2.x (multitasked) to GEOS-3.x (MPI) GCM Migration Plan Document [PDF].
DAO Office Note 1998-008: Sawyer, W., et al., 1998. PILGRIM: A Parallel Library for Grid Manipulations in Earth Science Calculations Document [PDF].
DAO Office Note 98-06: Gaspari, G., et al., 1998. Construction of the PSAS Multi-level Forecast Error Covariance Models * Document not available *.
DAO Office Note 1998-05: Larson, J., et al., 1998. Documentation of the Physical-Space Statistical Analysis System (PSAS) Part III: The Software Implementation Document [PDF].
DAO Office Note 1998-04: Guo, J., et al., 1998. Documentation of the Physical-Space Statistical Analysis System (PSAS) Part II: The Factored-Operator Formulation of Error Covariances Document [PDF].
DAO Office Note 98-03: Joiner, J. and Rokke, L., 1998. Variational Cloud Clearing with TOVS Data *Document not available*.
DAO Office Note 98-02: Staff, 1998. DAO Fortran 90 Software Standards *Document not available*.
DAO Office Note 97-16: Sawyer, W., et al., 1997. GEOS 3.x Data Assimilation System: Core GEOS 3.x Interface and Data Design *Document not available*.
DAO Office Note 97-13: Lyster, P. et al., 1997. Design of the Goddard Earth Observing System (GEOS) Parallel General Circulation Model (GCM) Document [PDF]
DAO Office Note 97-12: Dee, D., et al., 1997. Maximum-likelihood estimation of forecast and observation error covariance parameters Document [PDF].
DAO Office Note 97-11: Sawyer, W. and da Silva, A., 1997. ProTeX: A Sample Fortran 90 Source Code Documentation System Document [PDF].
DAO Office Note 97-10: Min, W., and Schubert, S., 1997. The Climate Signal in Regional Moisture Fluxes: A Comparison of Three Global Data Assimilation Products Document [PDF].
DAO Office Note 97-08: Cohn, S., et al., 1997. Assessing the Effects of Data Selection with the DAO Physical-space Statistical Analysis System Document [PDF].
DAO Office Note 97-05: Lyster P., et al., 1997. Design of the Goddard Earth Observing System (GEOS) Parallel Physical-space Statistical Analysis System (PSAS) Document [PDF].
DAO Office Note 97-04: Todling, R., et al., 1997. Suboptimal Schemes for Retrospective Data Assimilation Based onf the Fixed-Lag Kalman Smoother Document [PDF].
DAO Office Note 97-02: Lyster, P., et al., 1997. Prallel Implementation of a Kalman Filter for Constituent Data Assimilation Document [PDF].
DAO Office Note 97-01: Cohn, S., 1997. An Introduction to Estimation Theory Document [PDF].
DAO Office Note 96-25: Takacs, L., 1996. A Simple Bias Correction Algorithm for use in Data Assimilation Document [PDF].
DAO Office Note 96-24: Park, C-K., et al., 1996. Moonsoon Rainfall in the GEOS-1 Assimilation: Sensitivity to Input Data Document [PDF].
DAO Office Note 1996-20: Sienkiewicz, M., 2000. Evaluation of RTTOV and GLA TOVS forward model and Jacobian Document [PDF].
DAO Office Note 96-19: Trenholme, A., 1996. GEOS-3/DAS Quality Control Requirements - Document Version 1.0 *Document not available*.
DAO Office Note 96-18: Dee, D., et al., 1996. Data assimilation in the presence of forecast bias Document [PDF].
DAO Office Note 96-17: Min, W. and Schubert, S., 1996. A Summary of Precipitation Statistics over the United States *Document not available*.
DAO Office Note 96-16: Stobie, J., 1996. A Summary of Precipitation Statistics over the United States *Document not available*.
DAO Office Note 96-15: Dee, D., et al., 1996. GEOS/DAS Quality Control Strategy Document Version 1.1 Document [PDF].
DAO Office Note 96-14: da Silva, A., et al., 1996. Requirements for DAO's On-Line Monitoring System (DOLMS) Version 1.00 Document [PDF].
DAO Office Note 96-13: Joiner, J., et al., 1996. New Data Types Working Document Document [PDF]
DAO Office Note 96-12: daSilva, 1996. A Climatological Atlas of the Bermuda High from the GEOS-1 Multi-year Assimilation (Summers of 1985-93) *Document not available*.
DAO Office Note 96-11: da Silva, A., et al., 1996. On-line Estimation and Correction of Forecast Error Bias for Data Assimilation *Document not available*.
DAO Office Note 96-08: Sienkiewicz, M., 1996. The GLA TOVS Rapid Algorithm Forward Radiance Modules and Jacobian Version 1.0 Document [PDF].
DAO Office Note 96-07: Yong, L., et al., 1996. A Study on Assimilating Potential Vorticity Data Document [PDF].
DAO Office Note 96-06: da Silva, A., and Joiner, J., 1996. Efficient Methods to Assimilate Satellite Retrievals Based on Information Content *Document not available*.
DAO Office Note 96-05: da Silva, A., et al., 1996. Documentation of the Multi-year GEOS-1 Document [PDF].
DAO Office Note 96-04: Pfaendtner, J., 1996. Notes on the Icosahedral Domain Decomposition in PSAS *Document not available*.
DAO Office Note 96-03R1: Gaspari, G., et al., 1996. Construction of Correlation Functions in Two and Three Dimensions Document [PDF].
DAO Office Note 96-02: da Silva, A., et al., 1996. Documentation of the Physical-space Statistical Analysis System (PSAS) Part I: The Conjugate Gradient Solver Version PSAS-1.00 Document [PDF].
DAO Office Note 96-01: da Silva, A., 1996. Documentation of South American Time-series Files for the Multi-year GEOS-1 Assimilation Document [PDF].
DAO Office Note 95-01: da Silva, A., et al., 1995. Documentation of the GEOS/DAS Observation Data Stream (ODS) Version 1.01 Document [PDF].
This is a repository of presentations from scientific conferences and workshops which list GMAO staff members as lead or co-authors. They summarize research in poster form and were displayed to share results with the conference participants. Please note that this collection is not comprehensive.
2018 POSTERS
☆ AGU 2018 Fall Meeting, Washington, D.C. 12/10/2018 - 12/14/2018
Arnold, Nathan, Impact of a cold pool parameterization on the diurnal cycle and intraseasonal variability in the GEOS AGCM
Barahona, Donifan, Seasonal Predictability of Cloud Droplet Number Concentration
Carvalho, David, An Assessment of NASA’s GMAO MERRA-2 Reanalysis Surface Winds
Collow, Allison, The Influence of Prescribed Boundary Conditions on Near-Surface Temperature Over the Arctic in the MERRA-2 Atmospheric Model
Coy, Lawrence, Sub-seasonal Forecasting of the Stratospheric Wave Events, Sudden Stratospheric Warmings, and their Influence on the Troposphere
Darmenov, Anton, Implementation of the University of Miami Wave model (UMWM) into the NASA/GMAO Goddard Earth Observing System Model (GEOS)
DeAngelis, Anthony, Prediction skill of U.S. flash droughts in Subseasonal Experiment (SubX) model hindcasts
Dezfuli, Amin, Recent Rainfall Decline in West Africa Due to Enhanced Biomass Burning and Dust Emission
Ebrahimi, Hamideh, Impact Study of the Assimilation of Surface Sensitive Microwave Radiances in the GEOS
Girotto, Manuela, Data Assimilation of Terrestrial Water Storage to Adjust Precipitation Fluxes
Hackert, Eric, Impact of Satellite Sea Surface Salinity Observations on ENSO Predictions from the GMAO S2S Forecast System
Jin, Jianjun, Assimilating GCOM-W AMSR2 Radiance Data in Future GEOS Reanalyses
Lim, Young-Kwon, NASA GEOS Model for Sub-Seasonal to Seasonal Predictions: The Major Teleconnections, Tropical Cyclone Activity, and ENSO
Mukherjee, Nikita, Mt. Pinatubo’s Impacts on the GEOS Forecasting System
Ott, Lesley, Toward integrated seasonal predictions of land and ocean carbon flux: lessons from the 2015-16 El Niño
Raman, Aishwarya, Sea-state based estimation of white cap fraction: Implications for primary marine aerosol fluxes
Reichle, Rolf, H51W-1661: Water Balance in the SMAP Level-4 Soil Moisture Algorithm
Schubert, Siegfried, Regional Replay: A Unique Reanalysis-Based Tool for Addressing Model Error
Strobach, Ehud, Air-sea Interactions in a High-Resolution Ocean-atmosphere Simulation
Strobach, Ehud, Quantifying the Uncertainties in an Ensemble of Decadal Climate Predictions
Weir, Brad, Improving NASA GEOS atmospheric CO2 simulations by calibrating CASA surface with an empirical sink
☆ 9th International Workshop on Air Quality Forecasting Research (IWAQFR), Boulder 11/07/2018 - 11/09/2018
Keller, Christoph, Machine Learning Application to Atmospheric Chemistry Modeling
☆ Ocean Salinity Science Conference, Paris 11/06/2018 - 11/09/2018
Hackert, Eric, Impact of Satellite Sea Surface Salinity Observations on ENSO Predictions from the GMAO S2S Forecast System
☆ Stratosphere-troposphere Processes And their Role in Climate (SPARC) 2018 General Assembly 10/01/2018 - 10/05/2018
Coy, Lawrence, Global Assimilation of Loon Stratospheric Balloon Observations
Pawson, Steven, The Stratospheric Warming of 2018 in the Context of the Earth System
Wargan, Krzysztof, Long-term Ozone Variability and Trends from Reanalyses
☆ 15th International Global Atmospheric Chemistry (IGAC) Science Conference, Takamatsu 09/25/2018 - 09/29/2018
Saunders, Emily, GEOS-CF Model Assessment of PM2.5 During Wildfires: Inferring the Impact of PM2.5 Exposure on Adverse Respiratory and Cardiovascular Conditions
☆ Second International Conference on Subseasonal to Decadal Prediction, Boulder 09/17/2018 - 09/21/2018
Achuthavarier, Deepthi, Prediction skill of the MGO teleconnection signals in the NASA GEOS subseasonal reforecasts
Hackert, Eric, Impact of Satellite Sea Surface Salinity Observations on ENSO Predictions from the GEOS GMAO S2S Forecast System
Molod, Andrea, GEOS S2S-2_1: The GMAO High Resolution Seasonal Prediction System
☆ ECMWF Workshop: Radiation in the next generation of weather forecast models, Reading 05/21/2018 - 05/24/2018
Norris, Peter, Lessons learned in GCM clear-sky LW flux validation
☆ Bridging Sustained Observations and Data Assimilation for TPOS 2020, Boulder 05/01/2018 - 05/03/2018
Hackert, Eric, Impact of Aquarius and SMAP Sea Surface Salinity Observations on Seasonal Predictions of the 2015 El Nino
☆ 33rd Conference on Hurricanes and Tropical Meteorology, Ponte Vedra 04/16/2018 - 04/20/2018
Lim, Young-Kwon, The Roles of Climate Change and Climate Variability in the 2017 Atlantic Hurricane Season
☆ EGU General Assembly 2018, Vienna 04/08/2018 - 04/13/2018
☆ SOLAS: Remote Sensing for Studying the Ocean-Atmosphere Interface, Potomac 03/13/2018 - 03/15/2018
Akella, Santha, Near-Real Time Ocean-Atmosphere Skin Temperature as part of NASA GMAO Atmospheric Data Assimilation System
Hackert, Eric, The Impact of Satellite Sea Surface Salinity for Prediction of the Coupled Indo-Pacific System
☆ AGU Ocean Science Meeting, Portland 02/11/2018 - 02/16/2018
Borovikov, Anna, GEOS-5 Seasonal Forecast System: ENSO Prediction Skill and Bias
Kovach, Robin, Impact of Aquarius and SMAP Sea Surface Salinity Observations on Seasonal Predictions of the 2015 El Nino
☆ AMS 2018, Austin 01/07/2018 - 01/11/2018
Achuthavarier, Deepthi, Prediction and Predictability of the Madden Julian Oscillation in the NASA GEOS-5 Seasonal-to-Subseasonal System
Borovikov, Anna, GEOS-5 Seasonal Forecast System: ENSO Prediction Skill and Bias
Chang, Yehui, A Realization of Bias Correction Method in the GMAO Coupled System
Draper, Clara, Observation error specification for near-surface soil moisture assimilation: does it matter?
Prive, Nikki, Performance and Evaluation of the Global Modeling and Assimilation Office Observing System Simulation Experiment
Weir, Brad, Tracer transport differences: Challenges and implications for flux inversions
NASA TECHNICAL PUBLICATIONS
da Silva, Arlindo, Hal Maring, Felix Seidel, Michael Behrenfeld, Richard Ferrare, and Gerald Mace, 2020. Aerosol, Cloud, Ecosystems (ACE) Final Study Report. NASA/TP-20205007337. Document (6669 kb)
SELECTED TECHNICAL PUBLICATIONS
Montzka, Carsten, M. Cosh, B. Bayat, A. Al Bitar, A. Berg, R. Bindlish, H. R. Bogena, J. D. Bolten, F. Cabot, T. Caldwell, S. Chan, A. Colliander, W. Crow, N. Das, G. De Lannoy, W. Dorigo, S. R. Evett, A. Gruber, S. Hahn, T. Jagdhuber, S. Jones, Y. Kerr, S. Kim, C. Koyama, M. Kurum, E. Lopez-Baeza, F. Mattia, K. McColl, S. Mecklenburg, B. Mohanty, P. O'Neill, D. Or, T. Pellarin, G. P. Petropoulos, M. Piles, R. H. Reichle, N. Rodriguez-Fernandez, C. Rüdiger, T. Scanlon, R. C. Schwartz, D. Spengler, P. Srivastava, S. Suman, R. van der Schalie, W. Wagner, U. Wegmüller, J.-P. Wigneron, F. Camacho, and J. Nickeson, 2020. Soil Moisture Product Validation Good Practices Protocol. Land Product Validation Subgroup (WGCV/CEOS).
BOOKS
Wang, H., S. D. Schubert, and R. D. Koster 2017. North American Drought and Links to Northern Eurasia: The Role of Stationary Rossby Waves. In Patterns of Climate Extremes: Trends and Mechanisms. S. Wang, J. Yoon, C. Funk, R. Gillies, Eds. Wiley, 195-221. DOI: 10.1002/9781119068020.ch12.
De Lannoy, G. J. M., P. de Rosnay, and R. H. Reichle (2016), Soil Moisture Data Assimilation, in Handbook of Hydrometeorological Ensemble Forecasting, edited by Q. Duan, F. Pappenberger, J. Thielen, A. Wood, H. L. Cloke, and J. C. Schaake, Springer Verlag, 1-43, Springer Verlag, New York, doi:10.1007/978-3-642-40457-3_32-1.
Bosilovich, M. G., J. Kennedy, D. Dee, R. Allan and A. O.Neill, 2013. On the Reprocessing and Reanalysis of Observations for Climate in Climate Science for Serving Society: Research, Model and Prediction Priorities. G. Asrar and J. Hurrell, Eds. Springer, 51-71. ISBN 978-94-007-6691-4.
Schubert, S. D., Y-K. Lim, 2013. Climate variability and weather extremes: model-simulated and historical data Chapter 9 in Extremes in a changing climate — detection, analysys & uncertainty. Eds. A. AghaKouchak, D. Easterling, K. Hsu, S. Schubert, S. Sorooshian, Springer. ISBN 978-94-007-4478-3
Cohn, S.E., 2010. The Principle of Energetic Consistency in Data Assimilation. Chapter 7 in Data Assimilation: Making Sense of Observations, Eds. W. Lahoz, B. Khattatov and R. Menard, Springer. DOI: 10.1007/978-3-540-74703-1
Rood, R.B., M. G. Bosilovich, 2010. Reanalysis: Data Assimilation for Scientific Investigation of Climate, in Data Assimilation: Making sense of observations, Eds. W. A. Lahoz, B. Khattotov and R. Menard, Springer. DOI: 10.1007/978-3-540-74703-1
Reichle, R. H., M. G. Bosilovich, W. T. Crow, R. D. Koster, S. V. Kumar, S. P. P. Mahanama, and B. F. Zaitchik, 2009. Recent Advances in Land Data Assimilation at the NASA Global Modeling and Assimilation Office, Chapter 21 of Data Assimilation for Atmospheric, Oceanic, and Hydrologic Applications,ed. S.-K. Park, Springer. DOI: 10.1007/978-3-540-71056-1, Chapter 21
Cohn, S.E., 2008. Energetic Consistency and Coupling of the Mean and Covariance Dynamics. Chapter 16 in Handbook of Numerical Analysis, Vol. XIV, Ed. P.G. Ciarlet, Special Volume: Computational Methods for the Atmosphere and the Oceans, Guest Eds. R. Temam and J. Tribbia, Elsevier. ISBN: 978-0-444-51893-4
CONFERENCES AND WORKSHOP PROCEEDINGS
Reichle, R., G. De Lannoy, Q. Liu, and J. Ardizzone, 2016. SMAP Data Assimilation at the GMAO. Joint Center for Satellite Data Assimilation (JCSDA) Quarterly, 53. Link to Published Version
Zeng, X., S. Acherman, R.D. Ferraro, J.J. Murray, S. Pawson, C. Reynolds, and J. Teixiera, 2015. Workshop Report on Scientific Challenges and Opportunities in the NASA Weather Focus Area. NASA Weather Focus Area Workshop, April 2015. Link to Published Version
Bosilovich, M. G., M. Rixen, P. van Oevelen, G. Asrar, G. Compo, K. Onogi, A. Simmons, K. Trenberth, D. Behringer, T. Hossain Bhuiyan, S. Capps, A. Chaudhuri, J. Chen, L. Chen, N. Colasacco-Thumm, M. G. Escobar, C. R. Ferguson, T. Ishibashi, M. L. R. Liberato, J. Meng, A. Molod, and co-authors, 2012. Report of the 4th World Climate Research Programme International Conference on Reanalyses. 4th World Climate Research Programme International Conference on Reanalyses, Silver Spring, Maryland, 7-11 May 2012. Link to Published Version
Schubert, S.D., I.-S. Kang, F. Kucharski, and J. Shukla, 2009. Summary Report of the Workshop on High-Resolution Climate Modeling.. Abdus Salam International Centre for Theoretical Physics (ICTP), Trieste, Italy, 10-14 August 2009. Document (161 kb)
Schubert, S., D. Dee, S. Uppala, J. Woollen, J. Bates, and S. Worley, 2006. Report of the Workshop on "The Development of Improved Observational Data Sets for Reanalysis: Lessons Learned and Future Directions". University of Maryland Conference Center, College Park, MD, 28-29 September 2005. Document (236 kb)
Schubert, S., 2005. Summary Report of the Workshop on: Observational and Modeling Requirements for Predicting Drought on Seasonal to Decadal Time Scales. University of Maryland Inn and Conference Center, Adelphi, MD, 17-19 May 2005. Document (229 kb)
