Matthew Newman

CIRES, Campus Box 449
University of Colorado
Boulder, CO 80309
(303) 497 - 6233
matt.newman@noaa.gov

Current position:

Research Scientist III.
UNIVERSITY OF COLORADO, Boulder, CO
Cooperative Institute for Research in the Environmental Sciences (CIRES).

Previous positions:

Instructor, Bellevue Community College, January 1986-June 1987.
Taught undergraduate introductory course for non-majors (Atmospheric Science 101).

Instructor, University of Washington, June 1986-August 1986.
Taught undergraduate introductory course for non-majors (Atmospheric Science 101).


Education:

UNIVERSITY OF WASHINGTON, Seattle WA.
Ph.D. Atmospheric Science, October 1991.
Dissertation title: Model Studies of the Middle Atmosphere of Venus
Chairperson of the Supervisory Committee: Professor C. B. Leovy

UNIVERSITY OF CALIFORNIA AT LOS ANGELES, Los Angeles CA.
B.S. Atmospheric Science, June 1982 (magna cum laude, phi beta kappa).


Current research interests:

(Click on each item for information on that topic)
o Examining the sensitivity of low frequency variability to the time of year
o Extreme springtime weather events over North America and their relation to remote sources of forcing
o Applying stochastic forcing in models of low frequency variability

Publications:

Matt Newman's publications: NOAA Physical Sciences Laboratory

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  • Matt Newman's publications
  • Capotondi, A., T. Xu, M. Newman, E. DiLorenzo, and D. Vimont, 2026: A coupled North Pacific–Central Tropical Pacific decadal mode shapes basin variability and Northeast Pacific marine heatwaves. Submitted to Commun. Earth Environ..

  • Amaya, D., H.-H. Wei, M. Newman, J. Barsugli, and S. Yeager, 2026: Seasonal Precipitation Skill in Current Climate Forecast Models is Due to Initial Tropical Conditions Alone. Submitted to J. Appl. Meteor. Climatol.

  • Schlör, J., M. Newman, J. Thuemmel, A. Capotondi, and B. Goswami, 2026: A Hybrid Deep-Learning Model for El Niño Southern Oscillation in the Low-Data Regime. Submitted to npj Clim. Atmos. Sci..

  • Shin, S.-I., C. Penland, M. Newman, and M.A. Alexander, 2026: Estimating Global and Regional Sea Level Trends within the Recent Climate Record. Submitted to Geophys. Res. Lett.

  • Xu, T., M. Newman, S.-I. Shin, A. Capotondi, D. Vimont, M. Alexander, and E. DiLorenzo, 2026: Persistent Northeast Pacific marine heatwaves are sensitive to the seasonality of tropical and North Pacific dynamics. Commun. Earth Environ., in press, doi: 10.1038/s43247-026-03442-x.

  • Anderson, W., M. C. Arcodia, D. Amaya, E. Becker, J. A. Calahan. J. C. Furtado, B. Kirtman, S. Kumar, M. L. L'Heureux, D. Li, S. M. Larson, M. J. Molina, M. Newman, K. Pegion, A. Robertson, E. Towler, and B. Xiang, 2026: The Critical Need for Hindcast Infrastructure in Climate Science and Sectoral Applications. Bull. Amer. Meteor. Soc., 107, E615–E627, doi: 10.1175/BAMS-D-24-0311.1.

  • Wills, R. C. J., et al., 2026: Forced Component Estimation Statistical Method Intercomparison Project (ForceSMIP). J. Climate, 39, 1927–1953, doi: 10.1175/JCLI-D-25-0326.1.

  • Song, S.-Y., S. Stevenson, E. DiLorenzo, M. Newman, A. Capotondi, and N. Schneider, 2026: North Pacific Model Biases Influence Kuroshio Extension Atmospheric Circulation Patterns. Geophys. Res. Lett., 53, e2025GL118765, doi: 10.1029/2025GL118765.

  • Landsburg, J. B., M. Newman, and E. A. Barnes, 2026: AI-informed model-analogs for understanding subseasonal-to-seasonal jet stream and North American temperature predictability. Mach. Learn.: Earth, 2, 015007, doi: 10.1088/3049-4753/ae4805.

  • Wu, S., E. DiLorenzo, Y. Zhao, M. Newman, Z. Liu, A. Capotondi, D. Sun, S. Stevenson, and Y. Liu, 2026: Decomposition of Pacific Decadal Oscillation using linear inverse models sheds light on its dominant modes and future response. npj Clim. Atmos. Sci., 9, 43, doi: 10.1038/s41612-025-01315-2.

  • Marsico, D. H., J. R. Albers, M. Newman, M. Gehne, J. Dias, G. N. Kiladis, E. LaJoie, and Y. Wang, 2026: Modal Interference Drives Madden-Julian Oscillation Evolution and Predictability. Geophys. Res. Lett., 53, e2025GL118062, doi: 10.1029/2025GL118062.

  • Martinez-Villalobos, C., A. Capotondi, C. Deser, B. Dewitte, N. J. Holbrook, M. Newman, C. Penland, D. J. Vimont, and A. J. Wittenberg, 2025: A low-order data-driven model of ENSO diversity. Geophys. Res. Lett., 52, e2025GL118649, doi: 10.1029/2025GL118649.

  • Lorenzo-Sanchez, P., M. Newman, J. Albers, A. Subramanian, and A. Navarra, 2025: Koopman Theory for Enhanced Pacific SST forecasting. Artif. Intell. Earth Syst., 4, e240088, DOI: 10.1175/AIES-D-24-0088.1.

  • Xing, C., S. Stevenson, E. DiLorenzo, M. Newman, A. Capotondi, J.T. Fasullo, and N. Maher, 2025: Apparent Changes in Pacific Decadal Variability Caused by Anthropogenically-Induced Mean State Modulations. Geophys. Res. Lett., 52, e2025GL116499, DOI: 10.1029/2025GL116499.

  • Hovenga, P., M. Newman, J. R. Albers, W. Sweet, G. Dusek, T. Xu, J. Callahan, S.-I. Shin, and G. P. Compo, 2025: Using Stochastically Generated Skewed Distributions to Represent Hourly Nontidal Residual Water Levels at United States Tide Gauges. Front. Mar. Sci., 12:1618367, DOI: 10.3389/fmars.2025.1618367.

  • Albers, J. R., M. Newman, M. A. Balmeseda, W. Sweet, Y. Wang, and T. Xu, 2025: Assessing Subseasonal Forecast Skill for Use in Predicting US Coastal Inundation Risk. Ocean Science, 21, 1761-1785, DOI: 10.5194/os-21-1761-2025.

  • Kuo, Y.-N., F. Lehner, I.R. Simpson. C. Deser, A.S. Phillips, M. Newman, S.-I. Shin, S. Wong, and J. Arblaster, 2025: Recent Southwestern U.S. drought influenced by anthropogenic aerosols and tropical ocean warming. Nat. Geosci, DOI: 10.1038/s41561-025-01728-x.

  • Toride, K., M. Newman, A. Hoell, A. Capotondi, J. Schlor, and D. Amaya, 2025: Using Deep Learning to Identify Initial Error Sensitivity for Interpretable ENSO Forecasts. Artif. Intell. Earth Syst., 4, e240045, https://doi.org/10.1175/AIES-D-24-0045.1.

  • Long. X., M. Newman, S.-I. Shin, M. Balmeseda, J. Callahan, G. Dusek, L. Jia. B. Kirtman, J. Krasting, C.C. Lee, T. Lee, W. Sweet, O. Wang, Y. Wang, and M.J. Widlansky, 2025: Evaluating Current Statistical and Dynamical Forecasting Techniques for Seasonal Coastal Sea Level Prediction. J. Climate, 38, 1477–1503, doi: 10.1175/JCLI-D-24-0214.1.

  • Amaya, D. J., N. Maher, C. Deser, M. G. Jacox, M. Alexander, M. Newman, J. Dias, and J. Lou, 2025: Linking projected changes in seasonal climate predictability and ENSO amplitude. J. Climate, 38, 675-688, doi: 10.1175/JCLI-D-23-0648.1.

  • Beverley, J., M. Newman, and A. Hoell, 2024: Climate Model Trend Errors are Evident in Seasonal Forecasts at Short Leads. npj Clim. Atmos. Sci., 7, 285.

  • Xu, T., M. Newman, M. Alexander, and A. Capotondi, 2024: Seasonal Predictability of Bottom Temperatures along the North American West Coast. J. Geophys. Res. Oceans, doi: 10.1029/2023JC020504.

  • Lenssen, N., P. DiNezio, L. Goddard, C. Deser, Y. Kushnir, S. Mason, M. Newman, and Y. Okumura, 2024: Strong El Nino events lead to robust multi-year ENSO predictability.Geophys. Res. Lett., 51, e2023GL106988.

  • Wei, H.-H., M. Alexander, and M. Newman, 2024: Impact of Time Scales on North Pacific Surface Turbulent Heat Fluxes Driven by ENSO. Geophys. Res. Lett., 51, e2023GL107009.

  • Xu, T., M. Newman, A. Capotondi, and M. Alexander, 2024: A Forecast Test for Reducing Dynamical Dimensionality of Model Emulators. JAMES, 16, e2022MS003599, doi: 10.1029/2022MS003599.

  • Seager, R., M. Ting, P. Alexander, H. Liu, J. Nakamura, C. Li, and M. Newman, 2023: Ocean-forcing of cool season precipitation drives ongoing and future decadal drought in southwestern North America. npj Climate and Atmos. Sci., 6, doi: 10.1038/s41612-023-00461-9.

  • Zhao, Y., E. DiLorenzo, M. Newman, A. Capotondi, and S. Stevenson, 2023: A Pacific Tropical Decadal Variability Challenge for Climate Models. Geophys. Res. Lett., 50, e2023GL104037, doi: 10.1029/2023GL104037.

  • Stevenson, S., X. Huang, Y. Zhao, E. DiLorenzo, M. Newman, L. van Roekel, T. Xu, and A. Capotondi, 2023: Ensemble Spread Behavior in Coupled Climate Models: Insights from the Energy Exascale Earth System Model version 1 Large Ensemble. JAMES, 15, e2023MS003653, doi: 10.1029/2023MS003653.

  • Lou, J., M. Newman, and A. Hoell, 2023: Multi-decadal variation of ENSO forecast skill since the late 1800s. npj Climate and Atmos. Sci., 6, 89, doi: 10.1038/s41612-023-00417-z.

  • Beverley, J., M. Newman, and A. Hoell, 2023: Rapid development of systematic ENSO-related seasonal forecast errors. Geophys. Res. Lett., 50, e2022GL102249, doi: 10.1029/2022GL102249.

  • Kumar, S., C. Dewes, M. Newman, and Y. Duan, 2023: Robust Changes in North America’s Hydroclimate Variability and Predictability. Earth's Future, 11, e2022EF003239, doi: 10.1029/2022ef003239.

  • Long. X., S.-I. Shin, and M. Newman, 2023: Statistical Downscaling of Seasonal Forecast of Sea Level Anomalies for US Coasts. Geophys. Res. Lett., 50, e2022GL100271, doi: 10.1029/2022GL100271.

  • Di Lorenzo, E., T. Xu, Y. Zhao, M. Newman, A. Capotondi, S. Stevenson, D.J. Amaya, B.T. Anderson, R. Ding, J.C. Furtado, Y. Joh, G. Liguori, J. Lou, A.J. Miller, G. Navarra, N. Schneider, D.J. Vimont, S. Wu, and H. Zhang, 2023: Modes and Mechanisms of Pacific Decadal-Scale Variability. Annu. Rev. Mar. Sci., 15, 249-275, doi: 10.1146/annurev-marine-040422-084555.

  • Albers, J.R., M. Newman, A. Hoell, M. L. Breeden, Y. Wang, and J. Lou, 2022: The February 2021 Cold Air Outbreak in the United States: a Subseasonal Forecast of Opportunity. Bull. Amer. Meteor. Soc., 103, E2887–E2904, doi: 10.1175/BAMS-D-21-0266.1.

  • Xu, T., M. Newman, A. Capotondi, S. Stevenson, E. DiLorenzo, and M. Alexander, 2022: An increase in marine heatwaves without significant changes in surface ocean temperature variability. Nat. Commun., 13, 7396, doi: 10.1038/s41467-022-34934-x.

  • Carrillo, C., S. Coats, M. Newman, D. A. Herrera, X. Li, R. Moore, S.-I. Shin, S. Stevenson, F. Lehner, and T. R. Ault, 2022: Megadrought: a series of unfortunate La Niña events? J. Geophys. Res. Atmos., 127, e2021JD036376, doi: 10.1029/2021JD036376.

  • Breeden, M.L., J.R. Albers, A.H. Butler, and M. Newman, 2022: The spring minimum in subseasonal 2-meter temperature forecast skill over North America. Mon. Wea. Rev., 150, 2617–2628.

  • Hakim, G., C. Snyder, S. Penny, and M. Newman, 2022: Subseasonal Forecast Skill Improvement from Strongly Coupled Data Assimilation with a Linear Inverse Model. Geophys. Res. Lett., 49, e2022GL097996, doi: 10.1029/2022GL097996.

  • Vimont, D. J., M. Newman, D. S. Battisti, and S.-I. Shin, 2022: The Role of Seasonality and the ENSO Mode in Central and East Pacific ENSO Growth and Evolution. J. Climate, 35, 3195–3209,, doi: 10.1175/JCLI-D-21-0599.1.

  • Jong, B.-T., M. Newman, and A. Hoell, 2022: Subseasonal Meteorological Drought Development over the Central United States during Spring. J. Climate, 35, 2525–2547, doi: 10.1175/JCLI-D-21-0435.1.

  • Capotondi, A., M. Newman, X. Tu, and E. DiLorenzo, 2022: An Optimal Precursor of Northeast Pacific Marine Heatwaves and Central Pacific El Niño events. Geophys. Res. Lett., e2021GL097350, doi: 10.1029/2021GL097350.

  • Zhao, Y., M. Newman, A. Capotondi, and E. DiLorenzo, 2021: Removing the Effects of Tropical Dynamics from North Pacific Climate Variability. J. Climate, 34, 9249–9265, doi: 10.1175/JCLI-D-21-0344.1.

  • Powers, S., et al., 2021: Decadal climate variability in the tropical Pacific: characteristics, causes, predictability and prospects. Science, 374, doi: 10.1126/science.aay9165.

  • Shin, S.-I., and M. Newman, 2021: Seasonal Predictability of Global and North American Coastal Sea Surface Temperature and Height Anomalies. Geophys. Res. Lett., 48, e2020GL091886, doi: 10.1029/2020GL091886.

  • Albers, J. R., and M. Newman, 2021: Subseasonal Predictability of the North Atlantic Oscillation. Environ. Res. Lett., 16 044024.

  • Zhang, L., G. Wang, M. Newman, and W. Han, 2021: Interannual to Decadal Variability of Tropical Indian Ocean Sea Surface Temperature: Pacific Influence versus Local Internal Variability. J. Climate, 34, 2669-2684, doi: 10.1175/JCLI-D-20-0807.1.

  • Xu, T., M. Newman, A. Capotondi, and E. DiLorenzo, 2021: The Continuum of Northeast Pacific Marine Heatwaves and Their Relationship to the Tropical Pacific. Geophys. Res. Lett., 48, 2020GL090661, doi: 10.1029/2020GL090661.

  • Shin, S.-I., P. D. Sardeshmukh, M. Newman, C. Penland, and M. A. Alexander, 2021: Impact of Annual Cycle on ENSO Variability and Predictability. J. Climate, 34, 171-193. doi: 10.1175/JCLI-D-20-0291.1.

  • L'Heureux, M., A. Levine, M. Newman, C. Ganter, J.-J. Luo, M. Tippett, and T. Stockdale, 2020: "Chapter 10: ENSO Prediction". AGU Monograph: El Niño-Southern Oscillation (ENSO) in a Changing Climate, M. McPhaden, A. Santoso, W. Cai (Eds.), Wiley, 506 pp.

  • Kumar, S., M. Newman, D. M. Lawrence, M.-H. Lo, S. Akula, C.-W. Len, B. Livneh, and D. Lombardozzi, 2020: The GLACE-Hydrology Experiment: Effects of Land-Atmosphere Coupling on Soil Moisture Variability and Drought Predictability. J. Climate, 33, 6511-6529, doi: 10.1175/JCLI-D-19-0598.1.

  • Henderson, S. A., D. J. Vimont, and M. Newman, 2020: The critical role of non-normality in partitioning tropical and extratropical contributions to PNA growth. J. Climate, 33, 6273-6295, doi: 10.1175/JCLI-D-19-0555.1.

  • Mariotti, A., et al., 2020: Windows of Opportunity for Skillful Forecasts S2S and Beyond. Bull. Amer. Meteor. Soc., 101, E608–E625, doi: 10.1175/BAMS-D-18-0326.1.

  • Ding, H., M. Newman, M. A. Alexander, and A. T. Wittenberg, 2020: Relating CMIP5 model biases to seasonal forecast skill in the tropical Pacific. Geophys. Res. Lett., 47, e2019GL086765, doi: 10.1029/2019GL086765.

  • Shin, J., S. Park, S.-I. Shin, M. Newman, and M. A. Alexander, 2020: Enhancing ENSO Prediction Skill by combining Model-Analog and Linear Inverse Models (MA-LIM). Geophys. Res. Lett., 47, early release, doi: 10.1029/2019GL085914.

  • Breeden, M. L., B. T. Hoover, M. Newman, and D. J. Vimont, 2020: Optimal North Pacific Blocking Precursors and Their Deterministic Subseasonal Evolution during Boreal Winter. Mon. Wea. Rev., 148, 739-761, doi: 10.1175/MWR-D-19-0273.1.

  • Albers, J. R., and M. Newman, 2019: A Priori Identification of Skillful Extratropical Subseasonal Forecasts. Geophys. Res. Lett., 46, 12527-12536, doi: 10.1029/2019GL085270.

  • Martinez-Villalobos, C., M. Newman, D. J. Vimont, C. Penland, and J. D. Neelin, 2019: Observed El Niño–La Niña Asymmetry in a Linear Model. Geophys. Res. Lett., 46, 9909-9919, doi: 10.1029/2019GL082922.

  • Kumar, S., M. Newman, Y. Wang, and B. Livneh, 2019: Potential reemergence of seasonal soil moisture anomalies in North America. J. Climate, 32, 2707–2734, doi: 10.1175/JCLI-D-18-0540.1.

  • Ding, H., M. Newman, M. A. Alexander, and A. T. Wittenberg, 2019: Diagnosing secular variations in retrospective ENSO seasonal forecast skill using CMIP5 model-analogs. Geophys. Res. Lett., 46, 1721-1730, doi: 10.1029/2018GRL080598.

  • Thomas, E. E., D. J. Vimont, M. Newman, C. Penland, and C. Martinez-Villalobos, 2018: The Role of Stochastic Forcing in Generating ENSO Diversity. J. Climate, 31, 9125-9149, doi: 10.1175/JCLI-D-17-0582.1.

  • Ding, H., M. Newman, M. A. Alexander, and A. T. Wittenberg, 2018: Skillful climate forecasts of the tropical Indo-Pacific Ocean using model-analogs. J. Climate, 31, 5437-5459, doi: 10.1175/JCLI-D-17-0661.1.

  • Dole, R., J. R. Spackmann, M. Newman, et al., 2018: Advancing Science and Services during the 2015-16 El Niño: The NOAA El Niño Rapid Response Field Campaign. Bull. Amer. Meteor. Soc., 99, 975-1001, doi: 10.1175/BAMS-D-16-0219.1.

  • Martinez-Villalobos, C., D. J. Vimont, C. Penland, M. Newman, and J. D. Neelin, 2018: Calculating State Dependent Noise in a Linear Inverse Model Framework. J. Atmos. Sci., 75, 479-496, doi: 10.1175/JAS-D-17-0235.

  • Newman, M., A. T. Wittenberg, L. Cheng, G. P. Compo, and C. A. Smith, 2018: The extreme 2015/16 El Niño, in the context of historical climate variability and change [in “Explaining Extreme Events of 2016 from a Climate Perspective”]. Bull. Amer. Meteor. Soc., 99 (1), S16–S20, doi: 10.1175/BAMS-D-17-0116.1.

  • Newman, M. and P. D. Sardeshmukh, 2017: Are we near the predictability limit of tropical sea surface temperatures? Geophys. Res. Lett., 44, doi: 10.1002/2017GL074088.

  • Newman, M., M. A. Alexander, T. R. Ault, K. M. Cobb, C. Deser, E. Di Lorenzo, N. J. Mantua, A. J. Miller, S. Minobe, H. Nakamura, N. Schneider, D. J. Vimont, A. S. Phillips, J. D. Scott, and C. A. Smith, 2016: The Pacific Decadal Oscillation, Revisited. J. Climate, 29, 4399-4427., doi: 10.1175/JCLI-D-15-0508.1.

  • Capotondi, A., A. T. Wittenberg, M. Newman, E. Di Lorenzo, J.-Y. Yu, P. Braconnot, J. Cole, B. Dewitte, B. Giese, E. Guilyardi, F.-F. Jin, K. Karnauskas, B. Kirtman, T. Lee, N. Schneider, Y. Xue, and S.-W. Yeh, 2015: Understanding ENSO diversity. Bull. Amer. Meteor. Soc., 96, 921-938.

  • Smirnov, D., M. Newman, M. A. Alexander, Y.-O. Kwon, and C. Frankignoul, 2015: Investigating the local atmospheric response to a realistic shift in the Oyashio sea surface temperature front. J. Climate, 28, 1126-1147.

  • Vimont, D., M. A. Alexander, and M. Newman 2014: Optimal growth of Central and East Pacific ENSO events. Geophys. Res. Lett., 41, doi: 10.1002/2014GL059997.

  • Smirnov, D., M. Newman, and M. A. Alexander, 2014: Investigating the role of ocean-atmosphere coupling in the North Pacific Ocean. J. Climate, 27, 592-606, doi:10.1175/JCLI-D-13-00123.1.

  • Ault, T., C. Deser, M. Newman, and J. Emile-Geay, 2013: Characterizing decadal to centennial variability in the equatorial Pacific during the last millennium. Geophys. Res. Lett, 40, 3450-3456, doi:10.1002/grl.50647.

  • Newman, M., 2013: An empirical benchmark for decadal forecasts of global surface temperature anomalies. J. Climate, 26, 5260-5269, doi:10.1175/JCLI-D-12-00590.1.

  • Newman, M., 2013: Atmospheric science: Winds of change. Nature Climate Change, 3, 538-539, doi:10.1038/nclimate1915. Note: News and Views, not peer reviewed, based on L'Heureux, M., Lee, S. & Lyon, B. Nature Clim. Change 3, 571-576 (2013).

  • Goddard, L., and the US CLIVAR Decadal Predictability Working Group, 2013: A verification framework for Interannual-to-Decadal predictions experiments. Clim. Dyn., DOI: 10.1007/s00382-012-1481-2.

  • Solomon, A., and M. Newman, 2012: Reconciling disparate 20th century Indo-Pacific ocean temperature trends in the instrumental record. Nature Climate Change, 2, 691-699, doi:10.1038/nclimate1591.

  • Newman, M., G. N. Kiladis, K. M. Weickmann, F. M. Ralph, and P. D. Sardeshmukh 2012: Relative contributions of synoptic and low-frequency eddies to time-mean atmospheric moisture transport, including the role of atmospheric rivers. J. Climate, 25, 7341-7361. doi: http://dx.doi.org/10.1175/JCLI-D-11-00665.1

  • Newman, M., S.-I. Shin, and M. A. Alexander, 2011: Natural variation in ENSO flavors. Geophys. Res. Lett., L14705, doi:10.1029/2011GL047658.

  • Solomon, A., and M. Newman, 2011: Decadal predictability of tropical Indo-Pacific Ocean temperature trends due to anthropogenic forcing in a coupled climate model. Geophys. Res. Lett., 38, L02703, doi:10.1029/2010GL045978.

  • Newman, M., M. A. Alexander, and J. D. Scott, 2011: An empirical model of tropical ocean dynamics. Climate Dynamics, 37, 1823-1841, doi: 10.1007/s00382-011-1034-0.

  • Solomon, A., and the US CLIVAR Decadal Predictability Working Group, 2011: Distinguishing the roles of natural and anthropogenically forced decadal climate variability: Implications for prediction. Bull. Amer. Meteor. Soc., 92, 141-156, doi: 10.1175/2010BAMS2962.1.

  • Newman, M., P. D. Sardeshmukh, and C. Penland, 2009: How important is air-sea coupling in ENSO and MJO evolution? J. Climate, 22, 2958-2977.

  • Bladé, I., M. Newman, M. A. Alexander, and J. D. Scott, 2008: The late fall extratropical response to ENSO: Sensitivity to coupling and convection in the Tropical West Pacific. J. Climate, 21, 6101-6118.

  • Newman, M. and P. D. Sardeshmukh, 2008: Tropical and stratospheric influences on extratropical short-term climate variability. J. Climate, 21, 4326-4347.

  • Sura, P. and M. Newman, 2008: The impact of rapid wind variability upon air-sea thermal coupling. J. Climate, 21, 621-637.

  • Newman, M., 2007: Interannual to decadal predictability of Tropical and North Pacific sea surface temperatures. J. Climate, 20, 2333-2356.

  • Sura, P., M. Newman, and M. A. Alexander, 2006: Daily to decadal sea surface temperature variability driven by state-dependent stochastic heat fluxes. J. Phys. Ocean., 36, 1940-1958.
    Download an adobe acrobat version (pdf) of the paper.

  • Sura, P., M. Newman, C. Penland, and P. D. Sardeshmukh, 2005: Multiplicative noise and non-Gaussianity: A paradigm for atmospheric regimes? J. Atmos. Sci., 62, 1391-1409.
    Download an adobe acrobat version (pdf) of the paper.

  • Lin, J., B. Mapes, M. Zhang, and M. Newman, 2004: Stratiform precipitation, vertical heating profiles, and the Madden-Julian Oscillation. J. Atmos. Sci., 61, 296-309.

  • Newman, M., G. P. Compo, M. A. Alexander, 2003: ENSO-forced variability of the Pacific Decadal Oscillation. J. Climate, 16, 3853-3857.

  • Sardeshmukh, P. D., C. Penland, and M. Newman, 2003: Drift induced by multiplicative red noise with application to climate. Europhysics Letters, 63, 498-504.

  • Newman, M., P. D. Sardeshmukh, C. R. Winkler, and J. S. Whitaker, 2003: A study of subseasonal predictability. Mon. Wea. Rev., 131, 1715-1732.

  • Alexander, M. A., I. Bladé, M. Newman, J. R. Lanzante, N.-C. Lau, and J. D. Scott, 2002: The atmospheric bridge: the influence of ENSO teleconnections on air-sea interaction over the global oceans. J. Climate, 15, 2205-2231.

  • Winkler, C. R., M. Newman, and P. D. Sardeshmukh, 2001: A linear model of wintertime low-frequency variability. Part I: Formulation and forecast skill. J. Climate, 14, 4474-4494.

  • Sardeshmukh, P. D., C. Penland, and M. Newman, 2001: Rossby waves in a fluctuating medium. In Stochastic Climate Models, ed. P. Imkeller and J.-S. von Storch, Progress in Probability, Birkhaueser, Basel, pp. 369-384.

  • Newman, M., M. A. Alexander, C. R. Winkler, J. D. Scott, and J. J. Barsugli, 2000: A linear diagnosis of the coupled extratropical Ocean-Atmosphere system in the GFDL GCM. Atmospheric Sciences Letters, 1, 14-25, doi:10.1006/asle.2000.0002.

  • Hendon, H., B. Liebmann, M. Newman, J.D. Glick, and J.E. Schemm, 2000: Medium range forecast errors associated with active episodes of the Madden-Julian oscillation. Mon. Wea. Rev., 128, 68-86.

  • Newman M., P. D. Sardeshmukh, and J. W. Bergman, 2000: An assessment of the NCEP, NASA and ECMWF reanalyses over the Tropical West Pacific warm pool. Bull. Amer. Meteor. Soc., 81, 41-48.

  • Chen, P. and M. Newman, 1998: Rossby-wave propagation and the rapid development of upper-level anomalous anticyclones during the 1988 U.S. drought. J. Climate, 11, 2491-2504.

  • Newman, M. and P. D. Sardeshmukh, 1998: The impact of the annual cycle on the North Pacific/North American response to remote low frequency forcing. J. Atmos. Sci., 55, 1336-1353.

  • Newman, M., P. D. Sardeshmukh, and C. Penland, 1997: Stochastic forcing of the wintertime extratropical flow. J. Atmos. Sci., 54, 435-455.

  • Sardeshmukh, P. D., M. Newman, and M. D. Borges, 1997: Free Barotropic Rossby wave dynamics of the wintertime low-frequency flow. J. Atmos. Sci., 54, 5-23.

  • Gierasch, P.J., et al., 1997: The general circulation of the Venus atmosphere: An assessment. In Venus II, ed. S. W. Bougher, D. M. Hunten, and R. J. Phillips, The University of Arizona Press, Tucson, Az., pp. 459-500.

  • Newman, M. and P. D. Sardeshmukh, 1995: A caveat concerning Singular Value Decomposition. J. Climate, 8, 352-360.

  • Newman, M. and J. Barsugli, 1993: Quasilinear and nonlinear evolution of optimal initial perturbations in barotropic flow. Ninth Conference on Atmospheric and Oceanic waves and Stability, San Antonio, Texas, 305-307.

  • Newman, M. and C. Leovy, 1992: Maintenance of strong rotational winds in Venus' middle atmosphere by thermal tides. Science, 257, 647-650.

  • Walterscheid, R. L., G. Schubert, M. Newman, and A. J. Kliore, 1985: Zonal winds and the angular momentum balance of Venus' atmosphere within and above the clouds. J. Atmos. Sci., 42, 1982-1990.

  • Newman, M., G. Schubert, A. J. Kliore, and I. R. Patel, 1984: Zonal winds in the middle atmosphere of Venus from Pioneer Venus radio occultation data. J. Atmos. Sci., 41, 1901-1913.

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  • Gierasch, P.J., et al., 1997: The general circulation of the Venus atmosphere: An assessment. In Venus II, ed. S. W. Bougher, D. M. Hunten, and R. J. Phillips, The University of Arizona Press, Tucson, Az., pp. 459-500.

  • Newman, M. and C. Leovy, 1992: Maintenance of strong rotational winds in Venus' middle atmosphere by thermal tides. Science, 257, 647-650.

  • Walterscheid, R. L., G. Schubert, M. Newman, and A. J. Kliore, 1985: Zonal winds and the angular momentum balance of Venus' atmosphere within and above the clouds. J. Atmos. Sci., 42, 1982-1990.

  • Newman, M., G. Schubert, A. J. Kliore, and I. R. Patel, 1984: Zonal winds in the middle atmosphere of Venus from Pioneer Venus radio occultation data. J. Atmos. Sci., 41, 1901-1913.
Matt Newman
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