• Abbe, C., 1901: The physical basis of long-range weather forecasts. Mon. Wea. Rev., 29, 551561, https://doi.org/10.1175/1520-0493(1901)29[551c:TPBOLW]2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Ackerman, S., and Coauthors, 2019: Satellites see the world’s atmosphere. A Century of Progress in Atmospheric and Related Sciences: Celebrating the American Meteorological Society Centennial, Meteor. Monogr., No. 59, Amer. Meteor. Soc., https://doi.org/10.1175/AMSMONOGRAPHS-D-18-0009.1.

    • Crossref
    • Export Citation
  • Allen, D. R., K. W. Hoppel, and D. D. Kuhl, 2018: Extraction of wind and temperature information from ozone assimilation. Atmos. Chem. Phys., 18, 20993026, https://doi.org/10.5194/acp-18-2999-2018.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • AMS, 1961: Society awards honorary memberships. Bull. Amer. Meteor. Soc., 42, 416, https://doi.org/10.1175/1520-0477-42.6.416.

  • AMS, 2013: Full and open access to data. American Meteorological Society Policy Statement, https://www.ametsoc.org/ams/index.cfm/about-ams/ams-statements/statements-of-the-ams-in-force/full-and-open-access-to-data/.

  • Anderson, J. L., 2007: Exploring the need for localization in ensemble data assimilation using a hierarchical ensemble filter. Physica D, 230, 99111, https://doi.org/10.1016/j.physd.2006.02.011.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Andersson, E., J. Pailleux, J.-N. Thépaut, J. R. Eyre, A. P. McNally, G. A. Kelly, and P. Courtier, 1994: Use of cloud-cleared radiances in three/four-dimensional variational data assimilation. Quart. J. Roy. Meteor. Soc., 120, 627653, https://doi.org/10.1002/qj.49712051707.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Arakawa, A., and W. H. Schubert, 1974: Interaction of a cumulus ensemble with the large-scale environment, Part I. J. Atmos. Sci., 31, 674701, https://doi.org/10.1175/1520-0469(1974)031<0674:IOACCE>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Arakawa, A., and V. R. Lamb, 1977: Computational design of the basic dynamical processes of the UCLA general circulation model. Methods Comput. Phys., 17, 173265, https://doi.org/10.1016/B978-0-12-460817-7.50009-4.

    • Search Google Scholar
    • Export Citation
  • Astling, E., 1976: Some aspects of cloud and precipitation features associated with a mid-latitude cyclone. Mon. Wea. Rev., 104, 14661473, https://doi.org/10.1175/1520-0493(1976)104<1466:SAOCAP>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Atlas, D., Ed., 1990: Radar in Meteorology: Battan Memorial and 40th Anniversary Radar Meteorology Conference. Amer. Meteor. Soc., 806 pp.

    • Crossref
    • Export Citation
  • Austin, P. M., and R. A. Houze Jr., 1972: Analysis of the precipitation patterns in New England. J. Appl. Meteor., 11, 926935, https://doi.org/10.1175/1520-0450(1972)011<0926:AOTSOP>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Avilés, L., 2013: Taken by Storm, 1938: A Social and Meteorological History of the Great New England Hurricane. Amer. Meteor. Soc., 265 pp.

  • AWFTF, 1986: Final report of the Aviation Weather Forecasting Task Force. National Center for Atmospheric Research Research Applications Program Final Rep. to FAA and NWS, 87 pp.

  • Bauer, P., A. Thorpe, and G. Brunet, 2015: The quiet revolution of numerical weather prediction. Nature, 525, 4757, https://doi.org/10.1038/nature14956.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Belcher, S. E., H. T. Hewitt, A. Beljaars, E. Brun, B. Fox-Kemper, J.-F. Lemieux, G. Smith, and S. Valcke, 2015: Ocean–waves–sea ice–atmosphere interactions. Seamless Prediction of the Earth System: From Minutes to Months, G. Brunet, S. Jones, and P. M. Ruti, Eds., WMO, 155–169.

  • Bengtsson, L., and J. Shukla, 1988: Integration of space and in situ observations to study global climate change. Bull. Amer. Meteor. Soc., 69, 11301143, https://doi.org/10.1175/1520-0477(1988)069<1130:IOSAIS>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Bengtsson, L., M. Kanamitsu, P. Kållberg, and S. Uppala, 1982: FGGE research activities at ECMWF. Bull. Amer. Meteor. Soc., 63, 277303, https://doi.org/10.1175/1520-0477-63.3.277.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Benjamin, S. G., K. B. Brewster, R. Brümmer, B. F. Jewett, T. W. Schlatter, T. L. Smith, and P. A. Stamus, 1991: An isentropic three-hourly assimilation system using ACARS aircraft observations. Mon. Wea. Rev., 119, 888906, https://doi.org/10.1175/1520-0493(1991)119<0888:AITHDA>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Benjamin, S. G., and Coauthors, 2004a: An hourly assimilation/forecast cycle: The RUC. Mon. Wea. Rev., 132, 495518, https://doi.org/10.1175/1520-0493(2004)132<0495:AHACTR>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Benjamin, S. G., G. A. Grell, J. M. Brown, T. G. Smirnova, and R. Bleck, 2004b: Mesoscale weather prediction with the RUC hybrid isentropic/terrain-following coordinate model. Mon. Wea. Rev., 132, 473494, https://doi.org/10.1175/1520-0493(2004)132<0473:MWPWTR>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Benjamin, S. G., B. E. Schwartz, E. J. Szoke, and S. E. Koch, 2004c: The value of wind profiler data in U.S. weather forecasting. Bull. Amer. Meteor. Soc., 85, 18711886, https://doi.org/10.1175/BAMS-85-12-1871.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Benjamin, S. G., and Coauthors, 2016a: A North American hourly assimilation and model forecast cycle: The Rapid Refresh. Mon. Wea. Rev., 144, 16691694, https://doi.org/10.1175/MWR-D-15-0242.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Benjamin, S. G., J. M. Brown, and T. G. Smirnova, 2016b: Explicit precipitation type diagnosis from a model using a mixed-phase bulk cloud-precipitation microphysics parameterization. Wea. Forecasting, 31, 609619, https://doi.org/10.1175/WAF-D-15-0136.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Bergman, K. H., 1979: Multivariate analysis of temperatures and winds using optimum interpolation. Mon. Wea. Rev., 107, 14231444, https://doi.org/10.1175/1520-0493(1979)107<1423:MAOTAW>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Bergthorsson, P., and B. Döös, 1955: Numerical weather map analysis. Tellus, 7, 329340, https://doi.org/10.1111/j.2153-3490.1955.tb01170.x.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Bjerknes, V., 1904: Das Problem der Wettervorhersage betrachtet vom Stadtpunkt der Mechanik und Physik (The problem of weather prediction, considered from the viewpoints of mechanics and physics). Meteor. Z., 21, 17, https:/doi.org/10.1127/0941-2948/2009/416.

    • Search Google Scholar
    • Export Citation
  • Bjerknes, V., 1910: Synoptical representation of atmospheric motions. Quart. J. Roy. Meteor. Soc., 36, 267286, https://doi.org/10.1002/qj.49703615505.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Bjerknes, V., 1911: Kinematics. Vol. II, Dynamic Meteorology and Hydrography, Carnegie Institute, 190 pp.

  • Bjerknes, J., and H. Solberg, 1921: Meteorological conditions for the formation of rain. Geofys. Publ., 12, 162.

  • Bleck, R., 1973: Numerical forecasting experiments based on the conservation of potential vorticity on isentropic surfaces. J. Appl. Meteor., 12, 737752, https://doi.org/10.1175/1520-0450(1973)012<0737:NFEBOT>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Bleck, R., and S. G. Benjamin, 1993: Regional weather prediction with a model combining terrain-following and isentropic coordinates. Part I: Model description. Mon. Wea. Rev., 121, 17701785, https://doi.org/10.1175/1520-0493(1993)121<1770:RWPWAM>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Bleck, R., and Coauthors, 2015: A vertically flow-following icosahedral grid model for medium-range and seasonal prediction. Part I: Model description. Mon. Wea. Rev., 143, 23862403, https://doi.org/10.1175/MWR-D-14-00300.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Bluestein, H. B., and Coauthors, 2014: Radar in atmospheric sciences and related research: Current systems, emerging technology, and future needs. Bull. Amer. Meteor. Soc., 95, 18501861, https://doi.org/10.1175/BAMS-D-13-00079.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Bolin, B., 1956: An improved barotropic model and some aspects of using the balance equation for three-dimensional flow. Tellus, 8, 6175, https://doi.org/10.3402/tellusa.v8i1.8941.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Bonavita, M., L. Isaksen, and E. Hólm, 2012: On the use of EDA background error variances in the ECMWF 4D-Var. Quart. J. Roy. Meteor. Soc., 138, 15401559, https://doi.org/10.1002/qj.1899.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Bonavita, M., M. Hamrud, and L. Isaksen, 2015: EnKF and hybrid gain ensemble data assimilation. Part II: EnKF and hybrid gain results. Mon. Wea. Rev., 143, 48654882, https://doi.org/10.1175/MWR-D-15-0071.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Bosart, L. F., 2003: Whither the weather analysis and forecasting process? Wea. Forecasting, 18, 520529, https://doi.org/10.1175/1520-0434(2003)18<520:WTWAAF>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Brennan, M. J., G. M. Lackmann, and K. M. Mahoney, 2008: Potential vorticity (PV) thinking in operations: The utility of nonconservation. Wea. Forecasting, 23, 168182, https://doi.org/10.1175/2007WAF2006044.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Brooks, H., and Coauthors, 2019: A century of progress in severe convective storm research and forecasting. A Century of Progress in Atmospheric and Related Sciences: Celebrating the American Meteorological Society Centennial, Meteor. Monogr., No. 59, Amer. Meteor. Soc., https://doi.org/10.1175/AMSMONOGRAPHS-D-18-0026.1.

    • Crossref
    • Export Citation
  • Brousseau, P., Y. Seity, D. Ricard, and J. Léger, 2016: Improvement of the forecast of convective activity from the AROME-France system. Quart. J. Roy. Meteor. Soc., 142, 22312243, https://doi.org/10.1002/qj.2822.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Brown, A., S. Milton, M. Cullen, B. Golding, J. Mitchell, and A. Shelley, 2012: Unified modeling and prediction of weather and climate: A 25-year journey. Bull. Amer. Meteor. Soc., 93, 18651877, https://doi.org/10.1175/BAMS-D-12-00018.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Browning, K. A., 1971: Radar measurements of air motion near fronts. Weather, 26, 320340, https://doi.org/10.1002/j.1477-8696.1971.tb04211.x.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Browning, K. A., Ed., 1982: Nowcasting. Academic Press, 256 pp.

  • Browning, K. A., and T. W. Harrold, 1969: Air motion and precipitation growth in a wave depression. Quart. J. Roy. Meteor. Soc., 95, 288309, https://doi.org/10.1002/qj.49709540405.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Brunet, G., 1994: Empirical normal mode analysis of atmospheric data. J. Atmos. Sci., 51, 932952, https://doi.org/10.1175/1520-0469(1994)051<0932:ENMAOA>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Brunet, G., R. Vautard, B. Legras, and S. Edouard, 1995: Potential vorticity on isentropic surfaces: Climatology and diagnostics. Mon. Wea. Rev., 123, 10371058, https://doi.org/10.1175/1520-0493(1995)123<1037:PVOISC>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Brunet, G., and Coauthors, 2010: Collaboration of the weather and climate communities to advance subseasonal-to-seasonal prediction. Bull. Amer. Meteor. Soc., 91, 13971406, https://doi.org/10.1175/2010BAMS3013.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Brunet, G., S. Jones, and P. M. Ruti, Eds., 2015: Seamless Prediction of the Earth System: From Minutes to Months. WMO, 480 pp., https://library.wmo.int/pmb_ged/wmo_1156_en.pdf.

  • Bryan, G. H., J. C. Wyngaard, and J. M. Fritsch, 2003: Resolution requirements for the simulation of deep moist convection. Mon. Wea. Rev., 131, 23942416, https://doi.org/10.1175/1520-0493(2003)131<2394:RRFTSO>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Buehner, M., J. Morneau, and C. Charette, 2013: Four-dimensional ensemble-variation data assimilation for global deterministic weather prediction. Nonlinear Processes Geophys., 20, 669682, https://doi.org/10.5194/npg-20-669-2013.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Buehner, M., P. Du, and J. Bédard, 2018: A new approach for estimating the observation impact in ensemble-variational data assimilation. Mon. Wea. Rev., 146, 447465, https://doi.org/10.1175/MWR-D-17-0252.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Bushby, F. H., and M. S. Timpson, 1967: A 10-level atmospheric model and frontal rain. Quart. J. Roy. Meteor. Soc., 93, 117, https://doi.org/10.1002/qj.49709339502.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Byers, H. R., and R. R. Braham Jr., 1948: Thunderstorm structure and circulation. J. Meteor., 5, 7186, https://doi.org/10.1175/1520-0469(1948)005<0071:TSAC>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Calvert, E., 1921: Radio distribution of forecasts and warnings. Bull. Amer. Meteor. Soc., 2, 7375, https://doi.org/10.1175/1520-0477-2.6.73.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Carbone, R., and J. D. Tuttle, 2008: Rainfall occurrence in the U.S. warm season: The diurnal cycle. J. Climate, 21, 41324146, https://doi.org/10.1175/2008JCLI2275.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Carlson, T. N., 1982: A simple model illustrating baroclinic development. Bull. Amer. Meteor. Soc., 63, 13021308, https://doi.org/10.1175/1520-0477(1982)063<1302:ASMIBD>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Carlson, T. N., S. G. Benjamin, G. S. Forbes, and Y.-F. Li, 1983: Elevated mixed layers in the regional severe storm environment: Conceptual model and case studies. Mon. Wea. Rev., 111, 14531473, https://doi.org/10.1175/1520-0493(1983)111<1453:EMLITR>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Carrera, M. L., S. Bélair, and B. Bilodeau, 2015: The Canadian Land Data Assimilation System (CaLDAS): Description and synthetic evaluation study. J. Hydrometeor., 16, 12931314, https://doi.org/10.1175/JHM-D-14-0089.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Charney, J. G., 1947: The dynamics of long waves in a baroclinic westerly current. J. Meteor., 4, 136162, https://doi.org/10.1175/1520-0469(1947)004<0136:TDOLWI>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Charney, J. G., 1948: On the scale of atmospheric motions. Geofys. Publ., 17, 117.

  • Charney, J. G., 1949: On a physical basis for numerical prediction of large-scale motions in the atmosphere. J. Meteor., 6, 372385, https://doi.org/10.1175/1520-0469(1949)006<0372:OAPBFN>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Charney, J. G., 1955: The use of the primitive equations of motion in numerical prediction. Tellus, 7, 2226, https://doi.org/10.3402/tellusa.v7i1.8772.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Charney, J. G., and A. Eliassen, 1949: A numerical method for predicting the perturbation of the middle latitude westerlies. Tellus, 1, 3854, https://doi.org/10.3402/tellusa.v1i2.8500.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Charney, J. G., and A. Eliassen, 1964: On the growth of the hurricane depression. J. Atmos. Sci., 21, 6875, https://doi.org/10.1175/1520-0469(1964)021<0068:OTGOTH>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Charney, J. G., R. Fjørtoft, and J. von Neumann, 1950: Numerical integration of the barotropic vorticity equation. Tellus, 2, 237254, https://doi.org/10.3402/tellusa.v2i4.8607.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Chen, S. S., J. F. Price, W. Zhao, M. A. Donelan, and E. J. Walsh, 2007: The CBLAST-Hurricane program and the next-generation fully coupled atmosphere–wave–ocean models for hurricane and prediction. Bull. Amer. Meteor. Soc., 88, 311317, https://doi.org/10.1175/BAMS-88-3-311.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Chen, Y., G. Brunet, and P. Yau, 2003: Spiral bands in a simulated hurricane PART II: Wave activity diagnostics. J. Atmos. Sci., 60, 12391256, https://doi.org/10.1175/1520-0469(2003)60<1239:SBIASH>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Choun, H. F., 1936: Dust storms in southwestern plains area. Mon. Wea. Rev., 64, 195199, https://doi.org/10.1175/1520-0493(1936)64<195:DITSPA>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Clark, A. J., and Coauthors, 2018: The Community Leveraged Unified Ensemble (CLUE) in the 2016 NOAA/Hazardous Weather Testbed Spring Forecasting Experiment. Bull. Amer. Meteor. Soc., 99, 14331448, https://doi.org/10.1175/BAMS-D-16-0309.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Compo, G. P., and Coauthors, 2011: The Twentieth Century Reanalysis Project. Quart. J. Roy. Meteor. Soc., 137, 128, https://doi.org/10.1002/qj.776.

  • Cook, B. I., R. L. Miller, and R. Seager, 2009: Amplification of the North American “Dust Bowl” drought through human-induced land degradation. Proc. Natl. Acad. Sci. USA, 106, 49975001, https://doi.org/10.1073/pnas.0810200106.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Corfidi, S. F., 1999: The birth and early years of the Storm Prediction Center. Wea. Forecasting, 14, 507525, https://doi.org/10.1175/1520-0434(1999)014<0507:TBAEYO>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Côté, J., 1997: Variable resolution techniques for weather prediction. Meteor. Atmos. Phys., 63, 3138, https://doi.org/10.1007/BF01025362.

  • Côté, J., S. Gravel, A. Méthot, A. Patoine, M. Roch, and A. Staniforth, 1998: The operational CMC-MRB Global Environmental Multiscale (GEM) model. Part I: Design considerations and formulation. Mon. Wea. Rev., 126, 13731395, https://doi.org/10.1175/1520-0493(1998)126<1373:TOCMGE>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Courtier, P., and J.-F. Geleyn, 1988: A global numerical weather prediction model with variable resolution: Application to the shallow water equations. Quart. J. Roy. Meteor. Soc., 114, 13211346, https://doi.org/10.1002/qj.49711448309.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Courtier, P., J.-N. Thépaut, and A. Hollingsworth, 1994: A strategy for operational implementation of 4D-Var, using an incremental approach. Quart. J. Roy. Meteor. Soc., 120, 13671387, https://doi.org/10.1002/qj.49712051912.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Crawford, K. C., F. V. Brock, R. L. Elliott, G. W. Cuperus, S. J. Stadler, H. L. Johnson, and C. A. Doswell III, 1992: The Oklahoma Mesonetwork—A 21st century project. Eighth Int. Conf. on Interactive Information and Processing Systems for Meteorology, Ocanography, and Hydrology, Amer. Meteor. Soc., Atlanta, GA, 27–33.

  • Cressman, G. P., 1948: On the forecasting of long waves in the upper westerlies. J. Meteor., 5, 4457, https://doi.org/10.1175/1520-0469(1948)005<0044:OTFOLW>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Cressman, G. P., 1958: Barotropic divergence and very long atmospheric waves. Mon. Wea. Rev., 86, 293297, https://doi.org/10.1175/1520-0493(1958)086<0293:BDAVLA>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Cressman, G. P., 1959: An operational objective analysis system. Mon. Wea. Rev., 87, 367374, https://doi.org/10.1175/1520-0493(1959)087<0367:AOOAS>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Cressman, G. P., 1963: A three-level model suitable for daily numerical forecasting. National Meteorological Center Tech. Memo. 22, 42 pp.

  • Crutzen, P., 2006: Albedo enhancement by stratospheric gmt.s injections: A contribution to resolve a policy dilemma. Climatic Change, 77, 211220, https://doi.org/10.1007/s10584-006-9101-y.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Cullen, M. J. P., 1993: The unified forecast/climate model. Meteor. Mag., 122, 8194.

  • Cunning, J. B., 1986: The Oklahoma-Kansas Preliminary Regional Experiment for STORM-Central. Bull. Amer. Meteor. Soc., 67, 14781486, https://doi.org/10.1175/1520-0477(1986)067<1478:TOKPRE>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Dabberdt, W. F., R. Shellhorn, H. Cole, A. Paukkunen, J. Horhammer, and V. Antikainen, 2003: Radiosondes. Radiosonde Museum of North America Rep., 14 pp., http://radiosondemuseum.org/wp-content/uploads/2012/10/RadiosondeArticle.pdf.

  • Daley, R., 1991: Atmospheric Data Analysis. Cambridge University Press, 457 pp.

  • Danielsen, E. F., 1959: The laminar structure of the atmosphere and its relation to the concept of the tropopause. Arch. Meteor. Geophys. Bioklimatol., 11A, 232293.

    • Search Google Scholar
    • Export Citation
  • Danielsen, E. F., 1961: Trajectories: Isobaric, isentropic and actual. J. Meteor., 18, 479486, https://doi.org/10.1175/1520-0469(1961)018<0479:TIIAA>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Davies, T., M. J. P. Cullen, A. J. Malcolm, M. H. Mawson, A. Staniforth, A. A. White, and N. Wood, 2005: A new dynamical core for the Met Office’s global and regional modelling of the atmosphere. Quart. J. Roy. Meteor. Soc., 131, 17591782, https://doi.org/10.1256/qj.04.101.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Davis, C. A., K. W. Manning, R. E. Carbone, S. B. Trier, and J. D. Tuttle, 2003: Coherence of warm-season continental rainfall in numerical weather prediction models. Mon. Wea. Rev., 131, 26672679, https://doi.org/10.1175/1520-0493(2003)131<2667:COWCRI>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Dee, D. P., and Coauthors, 2011: The ERA-Interim reanalysis: Configuration and performance of the data assimilation system. Quart. J. Roy. Meteor. Soc., 137, 553597, https://doi.org/10.1002/qj.828.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Derber, J. C., and W.-S. Wu, 1998: The use of TOVS cloud-cleared radiances in the NCEP SSI analysis system. Mon. Wea. Rev., 126, 22872302, https://doi.org/10.1175/1520-0493(1998)126<2287:TUOTCC>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Derber, J. C., D. F. Parrish, and S. J. Lord, 1991: The new global operational analysis system at the National Meteorological Center. Wea. Forecasting, 6, 538547, https://doi.org/10.1175/1520-0434(1991)006<0538:TNGOAS>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • De Rosnay, P., G. Balsamo, C. Albergel, J. Muñoz-Sabater, and L. Isaksen, 2014: Initialisation for land surface variables for numerical weather prediction. Surv. Geophys., 35, 607621, https://doi.org/10.1007/s10712-012-9207-x.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • DiMego, G. J., 1988: The National Meteorological Center Regional Analysis System. Mon. Wea. Rev., 116, 9771000, https://doi.org/10.1175/1520-0493(1988)116<0977:TNMCRA>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • DiMego, G. J., K. Campana, and J. Irwin, 2004: NMC/NCEP supercomputers and the models that consumed them: A sordid tale of codependence. Symp. on the 50th Anniversary of Operational Numerical Weather Prediction, College Park, MD, NOAA, http://www.ncep.noaa.gov/nwp50/Presentations/Tue_06_15_04/Session_3/Dimego_models_computers.ppt.

  • Dinsmore, R., 1996: Alpha, Bravo, Charlie…Ocean weather ships 1940–1980. Oceanus, 39 (2), 910, https://www.whoi.edu/cms/files/dfino/2005/4/v39n2-dinsmore_2173.pdf.

    • Search Google Scholar
    • Export Citation
  • Doms, G., and U. Schättler, 1997: The nonhydrostatic limited-area model LM (Lokal-Modell) of DWD. Part I: Scientific Documentation. Deutscher Wetterdienst Rep., 155 pp.

  • Doswell, C. A., III, S. J. Weiss, and R. H. Johns, 1993: Tornado Forecasting: A Review. The Tornado: Its Structure, Dynamics, Prediction, and Hazards, Geophys. Monogr., Vol. 79, Amer. Geophys. Union, 557–571.

    • Crossref
    • Export Citation
  • Doviak, R. J., and D. S. Zrnić, 1993: Doppler Radar and Weather Observations. Academic Press, 562 pp.

  • Dowell, D. C., L. J. Wicker, and C. Snyder, 2011: Ensemble Kalman filter assimilation of radar observations of the 8 May 2003 Oklahoma City supercell: Influences of reflectivity observations on storm-scale analyses. Mon. Wea. Rev., 139, 272294, https://doi.org/10.1175/2010MWR3438.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Draxler, R. R., and G. D. Hess, 1998: An overview of the HYSPLIT_4 modeling system for trajectories, dispersion, and deposition. Aust. Meteor. Mag., 47, 295308.

    • Search Google Scholar
    • Export Citation
  • Dudhia, J., 1993: A nonhydrostatic version of the Penn State–NCAR Mesoscale Model: Validation tests and simulation of an Atlantic cyclone and cold front. Mon. Wea. Rev., 121, 14931513, https://doi.org/10.1175/1520-0493(1993)121<1493:ANVOTP>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Dudhia, J., 2014: A history of mesoscale model development. Asia-Pac. J. Atmos. Sci., 50, 121131, https://doi.org/10.1007/s13143-014-0031-8.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Duncan, D., and K. Burns, 2012: The Dust Bowl: An Illustrated History. Chronicle Books, 231 pp.

  • Dunn, G. E., and B. I. Miller, 1960: Atlantic Hurricanes. Louisiana State University Press, 326 pp.

  • Durnford, D., and Coauthors, 2018: Toward an operational water cycle prediction system for the Great Lakes and St. Lawrence River. Bull. Amer. Meteor. Soc., 99, 521546, https://doi.org/10.1175/BAMS-D-16-0155.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Durran, D. R., 1990: Mountain waves and downslope winds. Atmospheric Processes over Complex Terrain, Meteor. Monogr., No. 45, Amer. Meteor. Soc., 59–81.

    • Crossref
    • Export Citation
  • Dutton, J. A., 1976: The Ceaseless Wind—An Introduction to the Theory of Atmospheric Motion. McGraw-Hill, 579 pp.

  • Eady, E. T., 1949: Long waves and cyclone waves. Tellus, 1, 3352, https://doi.org/10.3402/tellusa.v1i3.8507.

  • Eliassen, A., 1949: The quasi-static equations of motion with pressure as independent variable. Geofys Publ., 17, 144.

  • Eliassen, A., 1954: Provisional report on calculation of spatial covariance and autocorrelation of the pressure field. Videnskaps-Akademiets Institutt for Vaer-Og Klimaforskning Rep. 5 (appendix), 12 pp. [Available from Norwegian Meteorological Institute, P.O. Box 43, Blindern, N-0313 Oslo, Norway.]

  • Emanuel, K., 2019: 100 years of progress in tropical cyclone research. A Century of Progress in Atmospheric and Related Sciences: Celebrating the American Meteorological Society Centennial, Meteor. Monogr., No. 59, Amer. Meteor. Soc., https://doi.org/10.1175/AMSMONOGRAPHS-D-18-0016.1.

    • Crossref
    • Export Citation
  • Evensen, G., 2003: The ensemble Kalman filter: Theoretical formulation and practical implementation. Ocean Dyn., 53, 343367, https://doi.org/10.1007/s10236-003-0036-9.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Exner, F. M., 1908: Über eine erste Annäherung zur Vorausberechning Synoptischer Wetterkarten (On a first approach toward calculating synoptic forecast charts). Meteor. Z., 25, 5767.

    • Search Google Scholar
    • Export Citation
  • Exner, F. M., 1923: Review of “Lewis F. Richardson: Weather Prediction by Numerical Process.” Meteor. Z., 40, 189191.

  • Eyre, J. R., 1989: Inversion of cloudy satellite sounding radiances by nonlinear optimal estimation. I: Theory and simulation for TOVS. Quart. J. Roy. Meteor. Soc., 115, 10011026, https://doi.org/10.1002/qj.49711548902.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Fahey, T., E. Wilson, R. O’Loughlin, M. Thomas, and S. Klipfel, 2016: A history of weather reporting from aircraft and turbulence forecasting for commercial aviation. Aviation Turbulence: Processes, Detection, Prediction, R. Sharman and T. Lane, Eds., Springer, 31–58.

    • Crossref
    • Export Citation
  • Fawbush, E. J., and R. C. Miller, 1952: A mean sounding representative of the tornadic airmass environment. Bull. Amer. Meteor. Soc., 33, 303307, https://doi.org/10.1175/1520-0477-33.7.303.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Fawbush, E. J., and R. C. Miller, 1953: A method for forecasting hailstone size at the earth’s surface. Bull. Amer. Meteor. Soc., 34, 235244, https://doi.org/10.1175/1520-0477-34.6.235.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Fawbush, E. J., and R. C. Miller, 1954: The types of airmasses in which North American tornadoes form. Bull. Amer. Meteor. Soc., 35, 154165, https://doi.org/10.1175/1520-0477-35.4.154.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Ferrier, B. S., Y. Jin, Y. Lin, T. Black, E. Rogers, and G. DiMego, 2002: Implementation of a new grid-scale cloud and precipitation scheme in the NCEP ETA model. 19th Conf. on Weather Analysis and Forecasting/15th Conf. on Numerical Weather Prediction, San Antonio, TX, Amer. Meteor. Soc., 10.1, https://ams.confex.com/ams/SLS_WAF_NWP/techprogram/paper_47241.htm.

  • Flattery, T. W., 1967: Hough functions. University of Chicago Dept. of Geophysical Sciences Tech. Rep. 21, 175 pp.

  • Flattery, T. W., 1971: Spectral models for global analysis and forecasting. U.S. Air Force Air Weather Service Tech. Rep. 243, 42–54, NTIS ADA724093.

  • Fleming, J. R., 2004: Sverre Petterssen, the Bergen School, and the forecasts for D-day. Proc. Int. Commission on History of Meteorology 1.1, Mexico City, Mexico, International Commission on the History of Meteorology, 75–83, http://www.meteohistory.org/2004proceedings1.1/pdfs/08fleming.pdf.

  • Fleming, J. R., 2016: Inventing Atmospheric Science: Bjerknes, Rossby, Wexler, and the Foundations of Modern Meteorology. MIT Press, 296 pp.

    • Crossref
    • Export Citation
  • Frost, G. J., and Coauthors, 2013: New Directions: GEIA’s 2020 vision for better air emissions information. Atmos. Environ., 81, 710712, https://doi.org/10.1016/j.atmosenv.2013.08.063.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Fujita, T. T., 1970: The Lubbock tornadoes: A study of suction spots. Weatherwise, 23, 161173, https://doi.org/10.1080/00431672.1970.9932888.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Gandin, L., 1965: Objective Analysis of Meteorological Fields. Israel Program for Scientific Translations, 242 pp.

  • Gelaro, R., R. H. Langland, S. Pellerin, and R. Todling, 2010: The THORPEX Observation Impact Intercomparison Experiment. Mon. Wea. Rev., 138, 40094025, https://doi.org/10.1175/2010MWR3393.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Gilchrist, B., and G. Cressman, 1954: An experiment in objective analysis. Tellus, 6, 309318, https://doi.org/10.3402/tellusa.v6i4.8762.

  • Glahn, H. R., and D. A. Lowry, 1972: The use of Model Output Statistics (MOS) in objective weather forecasting. J. Appl. Meteor., 11, 203211, https://doi.org/10.1175/1520-0450(1972)011<1203:TUOMOS>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Green, J. S. A., F. H. Ludlam, and J. F. R. McIlveen, 1966: Isentropic relative flow analysis and the parcel theory. Quart. J. Roy. Meteor. Soc., 92, 210219, https://doi.org/10.1002/qj.49709239204.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Gregg, W. R., 1935: Report of the Chief of the Weather Bureau. U.S. Department of Agriculture Rep., 14 pp., ftp://ftp.library.noaa.gov/docs.lib/htdocs/rescue/wb_reportofthechief/1935.pdf.

  • Grell, G. A., and A. Baklanov, 2011: Integrated modelling for forecasting weather and air quality: A call for fully coupled approaches. Atmos. Environ., 45, 68456851, https://doi.org/10.1016/j.atmosenv.2011.01.017.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Grell, G. A., J. Dudhia, and D. Stauffer, 1994: A description of the fifth-generation Penn State/NCAR Mesoscale Model (MM5). NCAR Tech. Note NCAR/TN-398+STR, 121 pp., https://doi.org/10.5065/D60Z716B.

    • Crossref
    • Export Citation
  • Gustafsson, N., and Coauthors, 2018: Survey of data assimilation methods for convective-scale numerical weather prediction at operational centres. Quart. J. Roy. Meteor. Soc., 144, 12181256, https://doi.org/10.1002/qj.3179.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Gutman, S. I., S. R. Sahm, S. G. Benjamin, B. E. Schwartz, K. L. Holub, J. Q. Stewart, and T. L. Smith, 2004: Rapid retrieval and assimilation of ground based GPS precipitable water observations at the NOAA Forecast Systems Laboratory: Impact on weather forecasts. J. Meteor. Soc. Japan Ser. II, 82, 351360, https://doi.org/10.2151/jmsj.2004.351.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Hamill, T. M., 2006: Ensemble-based data assimilation. Predictability of Weather and Climate, T. Palmer and R. Hagedorn, Eds., Cambridge University Press, 124–156.

    • Crossref
    • Export Citation
  • Harper, K., 2008: Weather by the Numbers: The Genesis of Modern Meteorology. MIT Press, 308 pp.

    • Crossref
    • Export Citation
  • Harrold, T. W., 1973: Mechanisms influencing the distribution of precipitation within baroclinic disturbances. Quart. J. Roy. Meteor. Soc., 99, 232251, https://doi.org/10.1002/qj.49709942003.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Haupt, S. E., R. M. Rauber, B. Carmichael, J. C. Knievel, and J. L. Cogan, 2019a: 100 years of progress in applied meteorology. Part I: Basic applications. A Century of Progress in Atmospheric and Related Sciences: Celebrating the American Meteorological Society Centennial, Meteor. Monogr., No. 59, Amer. Meteor. Soc., https://doi.org/10.1175/AMSMONOGRAPHS-D-18-0004.1.

    • Crossref
    • Export Citation
  • Haupt, S. E., S. Hanna, M. Askelson, M. Shepherd, M. Fragomeni, N. Debbage, and B. Johnson, 2019b: 100 years of progress in applied meteorology. Part II: Applications that address growing populations. A Century of Progress in Atmospheric and Related Sciences: Celebrating the American Meteorological Society Centennial, Meteor. Monogr., No. 59, Amer. Meteor. Soc., https://doi.org/10.1175/AMSMONOGRAPHS-D-18-0007.1.

    • Crossref
    • Export Citation
  • Haupt, S. E., B. Kosovic, S. W. McIntosh, F. Chen, K. Miller, M. Shepherd, M. Williams, and S. Drobot, 2019c: 100 years of progress in applied meteorology. Part III: Additional applications. A Century of Progress in Atmospheric and Related Sciences: Celebrating the American Meteorological Society Centennial, Meteor. Monogr., No. 59, Amer. Meteor. Soc., https://doi.org/10.1175/AMSMONOGRAPHS-D-18-0012.1.

    • Crossref
    • Export Citation
  • Haynes, B. C., 1940: Meteorology for pilots. U.S. Civil Aeronautics Administration Civil Aeronautics Bull. 25, 167 pp.

  • Held, I. M., 2019: 100 years of progress in understanding the general circulation of the atmosphere. A Century of Progress in Atmospheric and Related Sciences: Celebrating the American Meteorological Society Centennial, Meteor. Monogr., No. 59, Amer. Meteor. Soc., https://doi.org/10.1175/AMSMONOGRAPHS-D-18-0017.1.

    • Crossref
    • Export Citation
  • Henson, R., 2010: Weather on the Air: A History of Broadcast Meteorology. Amer. Meteor. Soc., 241 pp.

    • Crossref
    • Export Citation
  • Hoke, J. E., 2004: Evolution of the relationship between forecasters and numerical models over the last 50 years. Symp. on the 50th Anniversary of Operational Numerical Weather Prediction, College Park, MD, NCEP, http://www.ncep.noaa.gov/nwp50/Presentations/Wed_06_16_04/Session_5/NWP_Symposium_Hoke_2004-06-16_5.3.ppt.

  • Hoke, J. E., N. A. Phillips, G. J. DiMego, J. J. Tuccillo, and J. G. Sela, 1989: The Regional Analysis and Forecast System of the National Meteorological Center. Wea. Forecasting, 4, 323334, https://doi.org/10.1175/1520-0434(1989)004<0323:TRAAFS>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Honda, Y., M. Nishijima, K. Koizumi, Y. Ohta, K. Tamiya, T. Kawabata, and T. Tsuyuki, 2005: A pre-operational variational data assimilation system for a nonhydrostatic model at Japan Meteorological Agency: Formulation and preliminary results. Quart. J. Roy. Meteor. Soc., 131, 34653475, https://doi.org/10.1256/qj.05.132.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Hooke, W. H., and R. A. Pielke Jr., 2000: Short-term weather prediction: An orchestra in search of a conductor. Prediction: Science, Decision Making and the Future of Nature, D. Sarewitz, R. A. Pielke Jr., and R. Byerly, Eds., Island Press, 61–83.

  • Horel, J., and Coauthors, 2002: MesoWest: Cooperative mesonets in the western United States. Bull. Amer. Meteor. Soc., 83, 211226, https://doi.org/10.1175/1520-0477(2002)083<0211:MCMITW>2.3.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Hoskins, B. J., 1971: Atmospheric frontogenesis models: some solutions. Quart. J. Roy. Meteor. Soc., 97, 139153, https://doi.org/10.1002/qj.49709741202.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Hoskins, B. J., I. Draghici, and H. C. Davies, 1978: A new look at the ω-equation. Quart. J. Roy. Meteor. Soc., 104, 3138, https://doi.org/10.1002/qj.49710443903.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Hoskins, B. J., M. E. McIntyre, and A. W. Robertson, 1985: On the use and significance of isentropic potential vorticity maps. Quart. J. Roy. Meteor. Soc., 111, 877946, https://doi.org/10.1002/qj.49711147002.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Houtekamer, P. L., and F. Zhang, 2016: Review of the ensemble Kalman filter for atmospheric data assimilation. Mon. Wea. Rev., 144, 44894532, https://doi.org/10.1175/MWR-D-15-0440.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Houtekamer, P. L., H. L. Mitchell, G. Pellerin, M. Buehner, M. Charron, L. Spacek, and B. Hansen, 2005: Atmospheric data assimilation with an ensemble Kalman filter: Results with real observations. Mon. Wea. Rev., 133, 604620, https://doi.org/10.1175/MWR-2864.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Houze, R. A., Jr., 2019: 100 years of research on mesoscale convective systems. A Century of Progress in Atmospheric and Related Sciences: Celebrating the American Meteorological Society Centennial, Meteor. Monogr., No. 59, Amer. Meteor. Soc., https://doi.org/10.1175/AMSMONOGRAPHS-D-18-0001.1.

    • Crossref
    • Export Citation
  • Hovmöller, E., 1949: The trough-and-ridge diagram. Tellus, 1A, 6266.

  • Howcroft, J. G., 1971: Local forecast model: Present status and preliminary verification. NMC Office Note 50, 23 pp., http://www.lib.ncep.noaa.gov/ncepofficenotes/files/013FD7A6.pdf.

  • Hughes, P., 1970: A Century of Weather Service: A History of the Birth and Growth of the National Weather Service. Gordon and Breach, 212 pp.

  • International Air Traffic Association, 2018: Growth and development. IATA, http://www.iata.org/about/Pages/history-growth-and-development.aspx.

  • Ikawa, M., and K. Saito, 1991: Description of a nonhydrostatic model developed at the Forecast Research Department of the MRI. MRI Tech. Rep. 28, 238 pp., https://doi.org/10.11483/mritechrepo.28.

    • Crossref
    • Export Citation
  • James, E. P., and S. G. Benjamin, 2017: Observation system experiments with the hourly-updating Rapid Refresh model using GSI hybrid ensemble–variational data assimilation. Mon. Wea. Rev., 145, 28972918, https://doi.org/10.1175/MWR-D-16-0398.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Janjić , I. J., 2003: Nonhydrostatic model based on a new approach. Meteor. Atmos. Phys., 82, 271285, https://doi.org/10.1007/s00703-001-0587-6.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • JMA, 2013: Outline of the Operational Numerical Weather Prediction at the Japan Meteorological Agency. Japan Meteorological Agency Rep., 201 pp., http://www.jma.go.jp/jma/jma-eng/jma-center/nwp/outline2013-nwp/pdf/outline2013_all.pdf.

  • JMA, 2016: Joint WMO Technical Progress Report on the Global Data Processing and Forecasting System and Numerical Weather Prediction Research Activities for 2016. Japan Meteorological Agency Rep., 60 pp., http://www.jma.go.jp/jma/jma-eng/jma-center/nwp/report/2016_Japan.pdf.

  • Joe, P., and Coauthors, 2018: The Environment Canada Pan and Parapan American Science Showcase Project. Bull. Amer. Meteor. Soc., 99, 921953, https://doi.org/10.1175/BAMS-D-16-0162.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Johnson, V., R. Jeffries, G. Byrd, W. Schreiber-Abshire, E. Page, B. Muller, and T. Alberta, 2015: Celebrating COMET’s 25 years of providing innovative education and training. Bull. Amer. Meteor. Soc., 96, 21832194, https://doi.org/10.1175/BAMS-D-14-00276.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Joos, H., and H. Wernli, 2012: Influence of microphysical processes on the potential vorticity development in a warm conveyor belt: A case study with the limited-area model COSMO. Quart. J. Roy. Meteor. Soc., 138, 407418, https://doi.org/10.1002/qj.934.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Jung, T., and Coauthors, 2016: Advancing polar prediction capabilities on daily to seasonal time scales. Bull. Amer. Meteor. Soc., 97, 16311647, https://doi.org/10.1175/BAMS-D-14-00246.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kalnay, E., 2003: Atmospheric Modeling, Data Assimilation, and Predictability. Cambridge University Press, 341 pp.

    • Crossref
    • Export Citation
  • Kanamitsu, M., and Coauthors, 1991: Recent changes implemented into the Global Forecast System at NMC. Wea. Forecasting, 6, 425435, https://doi.org/10.1175/1520-0434(1991)006<0425:RCIITG>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kasahara, A., 1961: A numerical experiment on the development of a tropical cyclone. J. Meteor., 18, 259282, https://doi.org/10.1175/1520-0469(1961)018<0259:ANEOTD>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kasahara, A., 2000: On the origin of cumulus parameterization for numerical prediction models. General Circulation Model Development, D. A. Randall, Ed., Academic Press, 199–224.

    • Crossref
    • Export Citation
  • Kasahara, A., 2015: Serendipity: Research career of one scientist. NCAR Tech. Note NCAR/TN-507+PROC, 72 pp., https://doi.org/10.5065/D6RX9940.

    • Crossref
    • Export Citation
  • Kelleher, K. E., and Coauthors, 2007: PROJECT CRAFT: A real-time delivery system for NEXRAD level II data via the Internet. Bull. Amer. Meteor. Soc., 88, 10451057, https://doi.org/10.1175/BAMS-88-7-1045.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kirtman, B., D. Anderson, G. Brunet, I.-S. Kang, A. Scaife, and D. Smith, 2013: Prediction from weeks to decades. Climate Science for Serving Society: Research, Modelling and Prediction Priorities, G. R. Asrar and J. W. Hurrell, Eds., Springer, 205–235.

    • Crossref
    • Export Citation
  • Klein, W. H., and H. R. Glahn, 1974: Forecasting local weather by means of model output statistics. Bull. Amer. Meteor. Soc., 55, 12171227, https://doi.org/10.1175/1520-0477(1974)055<1217:FLWBMO>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kleist, D. T., and K. Ide, 2015: An OSSE-based evaluation of hybrid variational–ensemble data assimilation for the NCEP GFS. Part I: System description and 3D-hybrid results. Mon. Wea. Rev., 143, 433451, https://doi.org/10.1175/MWR-D-13-00351.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Koizumi, K., Y. Ishikawa, and T. Tsuyuki, 2005: Assimilation of precipitation data to the JMA mesoscale model with a four-dimensional variational method and its impact on precipitation forecasts. SOLA, 1, 4548, https://doi.org/10.2151/sola.2005-013.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kuo, H. L., 1965: On formation and intensification of tropical cyclones through latent heat release by cumulus convection. J. Atmos. Sci., 22, 4063, https://doi.org/10.1175/1520-0469(1965)022<0040:OFAIOT>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Laloyaux, P., M. Balmaseda, D. Dee, K. Mogensen, and P. Janssen, 2016: A coupled data assimilation system for climate reanalysis. Quart. J. Roy. Meteor. Soc., 142, 6578, https://doi.org/10.1002/qj.2629.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Laskin, D., 2004: The Children’s Blizzard. Harper Perennial, 336 pp.

  • Lazo, J. K., R. E. Morss, and J. L. Demuth, 2009: 300 billion served: Sources, perceptions, uses, and values of weather forecasts. Bull. Amer. Meteor. Soc., 90, 785798, https://doi.org/10.1175/2008BAMS2604.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • LeMone, M., and Coauthors, 2019: 100 years of progress in boundary-layer meteorology. A Century of Progress in Atmospheric and Related Sciences: Celebrating the American Meteorological Society Centennial, Meteor. Monogr., No. 59, Amer. Meteor. Soc., https://doi.org/10.1175/AMSMONOGRAPHS-D-18-0013.1.

    • Crossref
    • Export Citation
  • Lewis, J. M., 1972: An operational upper air analysis using the variational method. Tellus, 24, 514530, https://doi.org/10.3402/tellusa.v24i6.10679.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Lewis, J. M., 1992: Carl-Gustaf Rossby: A study in mentorship. Bull. Amer. Meteor. Soc., 73, 14251438, https://doi.org/10.1175/1520-0477(1992)073<1425:CGRASI>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Lewis, J. M., 1993: Meteorologists from the University of Tokyo: Their exodus to the United States following World War II. Bull. Amer. Meteor. Soc., 74, 13511360, https://doi.org/10.1175/1520-0477(1993)074<1351:MFTUOT>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Lewis, J. M., 2005: Roots of ensemble forecasting. Mon. Wea. Rev., 133, 18651885, https://doi.org/10.1175/MWR2949.1.

  • Lewis, R. P. W., 1985: The use by the Meteorological Office of deciphered German meteorological data during the Second World War. Meteor. Mag., 114, 113118.

    • Search Google Scholar
    • Export Citation
  • Lilly, D. K., 1962: On the numerical simulation of buoyant convection. Tellus, 14, 148172, https://doi.org/10.3402/tellusa.v14i2.9537.

  • Lilly, D. K., and E. J. Zipser, 1972: The Front Range windstorm of 11 January 1972—A meteorological narrative. Weatherwise, 25, 5663, https://doi.org/10.1080/00431672.1972.9931577.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Lin, S.-J., 2004: A “vertical Lagrangian” finite-volume dynamical core for global models. Mon. Wea. Rev., 132, 22932307, https://doi.org/10.1175/1520-0493(2004)132<2293:AVLFDC>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Lin, S.-J., and R. B. Rood, 1996: Multidimensional flux-form semi-Lagrangian transport schemes. Mon. Wea. Rev., 124, 20462070, https://doi.org/10.1175/1520-0493(1996)124<2046:MFFSLT>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Lindzen, R. S., E. N. Lorenz, and G. W. Platzman, Eds., 1990: The Atmosphere—A Challenge: The Science of Jule Gregory Charney. Amer. Meteor. Soc., 321 pp.

    • Crossref
    • Export Citation
  • Lorenc, A. C., 1986: Analysis methods for numerical weather prediction. Quart. J. Roy. Meteor. Soc., 112, 11771194, https://doi.org/10.1002/qj.49711247414.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Lorenc, A. C., 1988: Optimal nonlinear objective analysis. Quart. J. Roy. Meteor. Soc., 114, 205240, https://doi.org/10.1002/qj.49711447911.

  • Lorenc, A. C., 2017: A comparison of hybrid variational data assimilation methods in the Met Office global NWP system. Symp.: 20 years of 4D-Var at ECMWF, Reading, United Kingdom, ECMWF, https://www.ecmwf.int/sites/default/files/elibrary/2018/18001-comparision-hybrid-variational-data-assimilation-methods-met-office-global-nwp-system.pdf.

  • Lorenz, E. N., 1960: Energy and numerical weather prediction. Tellus, 12, 364373, https://doi.org/10.1111/j.2153-3490.1960.tb01323.x.

  • Lorenz, E. N., 1963: The predictability of hydrodynamic flow. Trans. N. Y. Acad. Sci. Ser. II, 25, 409432, https://doi.org/10.1111/j.2164-0947.1963.tb01464.x.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Lorenz, E. N., 1993: The Essence of Chaos. University of Washington Press, 240 pp.

    • Crossref
    • Export Citation
  • Louis, J.-F., 1979: A parametric model of vertical eddy fluxes in the atmosphere. Bound.-Layer Meteor., 17, 187202, https://doi.org/10.1007/BF00117978.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Lynch, P., 2006: The Emergence of Numerical Weather Prediction: Richardson’s Dream. Cambridge University Press, 279 pp.

  • Lynch, P., and X.-Y. Huang, 1992: Initialization of the HIRLAM model using a digital filter. Mon. Wea. Rev., 120, 10191034, https://doi.org/10.1175/1520-0493(1992)120<1019:IOTHMU>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • MacDonald, A. E., and J. Wakefield, 1996: WFO-Advanced: An AWIPS-like prototype forecaster workstation. Preprints, 12th Int. Conf. on Interactive Information and Processing Systems for Meteorology, Oceanography, and Hydrology, Atlanta, GA, Amer. Meteor. Soc., 190–193.

  • Madden, R. A., and P. R. Julian, 1971: Detection of a 40–50 day oscillation in the zonal wind in the tropical Pacific. J. Atmos. Sci., 28, 702708, https://doi.org/10.1175/1520-0469(1971)028<0702:DOADOI>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Madden, R. A., and P. R. Julian, 1972: Description of global-scale circulation cells in the tropics with a 40–50 day period. J. Atmos. Sci., 29, 11091123, https://doi.org/10.1175/1520-0469(1972)029<1109:DOGSCC>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Maddox, R. A., 1980: Mesoscale convective complexes. Bull. Amer. Meteor. Soc., 61, 13741387, https://doi.org/10.1175/1520-0477(1980)061<1374:MCC>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Manabe, S., and R. T. Wetherald, 1967: Thermal equilibrium of the atmosphere with a given distribution of relative humidity. J. Atmos. Sci., 24, 241259, https://doi.org/10.1175/1520-0469(1967)024<0241:TEOTAW>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Manabe, S., and R. T. Wetherald, 1975: The effects of doubling the CO2 concentration on the climate of a general circulation model. J. Atmos. Sci., 32, 315, https://doi.org/10.1175/1520-0469(1975)032<0003:TEODTC>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Martinez, Y., G. Brunet, and P. Yau, 2011: On the dynamics of concentric eyewall genesis: Space–time empirical normal modes diagnosis. J. Atmos. Sci., 68, 457476, https://doi.org/10.1175/2010JAS3501.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Mass, C., 2012: Nowcasting: The promise of new technologies of communication, modeling, and observation. Bull. Amer. Meteor. Soc., 93, 797809, https://doi.org/10.1175/BAMS-D-11-00153.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • McCarthy, J., 2001: The Aviation Weather Forecasting Task Force reunion. Bull. Amer. Meteor. Soc., 82, 14151422, https://doi.org/10.1175/1520-0477(2001)082<1415:MSTAWF>2.3.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • McPherson, R. D., K. H. Bergman, R. E. Kistler, G. E. Rasch, and D. S. Gordon, 1979: The NMC operational global data assimilation system. Mon. Wea. Rev., 107, 14451461, https://doi.org/10.1175/1520-0493(1979)107<1445:TNOGDA>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Mellor, G. L., and T. Yamada, 1974: A hierarchy of turbulence closure models for planetary boundary layer. J. Atmos. Sci., 31, 17911806, https://doi.org/10.1175/1520-0469(1974)031<1791:AHOTCM>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Mellor, G. L., and T. Yamada, 1982: Development of a turbulence closure model for geophysical fluid problems. Rev. Geophys. Space Phys., 20, 851875, https://doi.org/10.1029/RG020i004p00851.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Mesinger, F., Z. I. Janjić, S. Nickovic, D. Gravrilov, and D. G. Deaven, 1988: The step-mountain coordinate: Model description and performance for cases of Alpine lee cyclogenesis and for a case of an Appalachian redevelopment. Mon. Wea. Rev., 116, 14931518, https://doi.org/10.1175/1520-0493(1988)116<1493:TSMCMD>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Météo France, 2014: June 1944, the landing delayed due to weather. Météo France, http://www.meteofrance.fr/actualites/7222002-juin-1944-le-debarquement-repousse-pour-cause-meteo.

  • Milbrandt, J. A., S. Bélair, M. Faucher, M. Vallee, M. L. Carrera, and A. Glazar, 2016: The Pan-Canadian high resolution (2.5 km) deterministic prediction system. Wea. Forecasting, 31, 17911816, https://doi.org/10.1175/WAF-D-16-0035.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Mitchell, C. L., and H. Wexler, 1941. How the daily forecast is made. Climate and Man: Yearbook of Agriculture, U.S. Department of Agriculture, 579–598, https://naldc.nal.usda.gov/download/IND43893790/PDF.

  • Miyamoto,Y., Y. Kajikawa, R. Yoshida, T. Yamaura, H. Yashiro, and H. Tomita, 2013: Deep moist atmospheric convection in a subkilometer global simulation. Geophys. Res. Lett., 40, 49224926, https://doi.org/10.1002/grl.50944.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Mogensen, K. S., L. Magnusson, J. R. Bidlot, and F. Prates, 2018: Ocean coupling in tropical cyclone forecasts. ECMWF Newsletter, No. 154, ECMWF, Reading, United Kingdom, https://www.ecmwf.int/en/newsletter/154/meteorology/ocean-coupling-tropical-cyclone-forecasts.

  • Moller, A., C. Doswell III, M. Foster, and G. Woodall, 1994: The operational recognition of supercell environments and storm structures. Wea. Forecasting, 9, 327347, https://doi.org/10.1175/1520-0434(1994)009<0327:TOROST>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Molteni, F., R. Buizza, T. N. Palmer, and T. Petroliagis, 1996: The new ECMWF ensemble prediction system: Methodology and validation. Quart. J. Roy. Meteor. Soc., 122, 73119, https://doi.org/10.1002/qj.49712252905.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Moninger, W. R., R. D. Mamrosh, and P. M. Pauley, 2003: Automated meteorological reports from commercial aircraft. Bull. Amer. Meteor. Soc., 84, 203216, https://doi.org/10.1175/BAMS-84-2-203.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Morss, R. E., and Coauthors, 2017: Hazardous weather prediction and communication in the modern information environment. Bull. Amer. Meteor. Soc., 98, 26532674, https://doi.org/10.1175/BAMS-D-16-0058.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Müller, A., M. Kopera, S. Marras, L. Wilcox, T. Isaac, and F. X. Giraldo, 2018: Strong scaling for numerical weather prediction at petascale with the atmospheric model NUMA. Int. J. High-Perform. Comput. Appl., 33, 411426.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Murphy, A. H., 1993: What is a good forecast? An essay on the nature of goodness in weather forecasting. Wea. Forecasting, 8, 281293, https://doi.org/10.1175/1520-0434(1993)008<0281:WIAGFA>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Murphy, A. H., and R. L. Winkler, 1977: Reliability of subjective probability forecasts of precipitation and temperature. J. Roy. Stat. Soc., 26C, 4147.

    • Search Google Scholar
    • Export Citation
  • Myers, J. N., 1971: Limitations of precipitation probability forecasts. Earth Miner. Sci., 41, 1721.

  • Namias, J., and R. G. Stone, 1940: An Introduction to the Study of Air Mass and Isentropic Analysis. Amer. Meteor. Soc., 232 pp.

    • Crossref
    • Export Citation
  • National Weather Service, 2010: The Black Sunday Dust Storm of April 14, 1935. NOAA, https://www.weather.gov/oun/events-19350414.

  • Neilley, P. P., and Coauthors, 2015: Overview of The Weather Company’s principal forecasting methodologies. 27th Conf. on Weather Analysis and Forecasting, Chicago, IL, Amer. Meteor. Soc., 3A.7, https://ams.confex.com/ams/27WAF23NWP/webprogram/Paper273524.html.

  • Newell, R. E., N. E. Newell, Y. Zhu, and C. Scott, 1992: Tropospheric rivers?—A pilot study. Geophys. Res. Lett., 19, 24012404, https://doi.org/10.1029/92GL02916.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Nieman, S. J., W. P. Menzel, C. M. Hayden, D. Gray, S. T. Wanzong, C. S. Velden, and J. Daniels, 1997: Fully automated cloud-drift winds in NESDIS operations. Bull. Amer. Meteor. Soc., 78, 11211133, https://doi.org/10.1175/1520-0477(1997)078<1121:FACDWI>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Nitta, T., and K. Saito, 2004: Early history of the operational numerical weather prediction in Japan. Symp. on the 50th Anniversary of Operational Numerical Weather Prediction, College Park, MD, NOAA/NCEP, 1113, ftp://ftp.library.noaa.gov/docs.lib/htdocs/rescue/JNWP/50th_Symp_2004_CD.PDF/JNWPU_2004_All/1113.pdf.

  • NOAA, 2006: Forty thousand calls a day. NOAA, http://www.history.noaa.gov/stories_tales/telephonewea.html.

  • NOAA Meteorological Development Laboratory, 2018: About the National Blend of Models. NWS, accessed 30 June 2018, https://www.weather.gov/mdl/nbm_about.

  • Nobre, C., and Coauthors, 2010: Addressing the complexity of the Earth system. Bull. Amer. Meteor. Soc., 91, 13891396, https://doi.org/10.1175/2010BAMS3012.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Nordeng, T. E., G. Brunet, and J. Caughey, 2007: Improvement of weather forecasts in polar regions. WMO Bull., 56, 250256.

  • Ooyama, K., 1966: On the stability of the baroclinic circular vortex: A sufficient criterion for instability. J. Atmos. Sci., 23, 4353, https://doi.org/10.1175/1520-0469(1966)023<0043:OTSOTB>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Pailleux, J., 1990: A global variational assimilation scheme and its application for using TOVS radiances. Preprints, WMO Int. Symp. on Assimilation of Observations in Meteorology and Oceanography, Clermont-Ferrand, France, WMO, 325–328.

  • Palmén, E., and C. W. Newton, 1951: On the three-dimensional motions in an outbreak of polar air. J. Meteor., 8, 2539, https://doi.org/10.1175/1520-0469(1951)008<0025:OTTDMI>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Palmén, E., and C. W. Newton, 1969: Atmospheric Circulation Systems. Academic Press, 602 pp.

  • Pan, H.-L., and W.-S. Wu, 1995: Implementing a mass flux convective parameterization package for the NMC Medium-Range Forecast model. NMC Office Note 409, 40 pp., https://repository.library.noaa.gov/view/noaa/11429.

  • Panofsky, H. A., and G. W. Brier, 1968: Some Applications of Statistics to Meteorology. The Pennsylvania State University, 224 pp.

  • Parrish, D. F., and J. C. Derber, 1992: The National Meteorological Center’s spectral statistical-interpolation analysis system. Mon. Wea. Rev., 120, 17471763, https://doi.org/10.1175/1520-0493(1992)120<1747:TNMCSS>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Peckham, S. E., T. G. Smirnova, S. G. Benjamin, J. M. Brown, and J. S. Kenyon, 2016: Implementation of a digital filter initialization in the WRF Model and its application in the Rapid Refresh. Mon. Wea. Rev., 144, 99106, https://doi.org/10.1175/MWR-D-15-0219.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Persson, A., 2005: Early operational Numerical Weather Prediction outside the USA: An historical introduction. Part I: Internationalism and engineering NWP in Sweden, 1952-69. Meteor. Appl., 12, 135159, https://doi.org/10.1017/S1350482705001593.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Persson, A., 2017: The story of the Hovmöller diagram: An (almost) eyewitness account. Bull. Amer. Meteor. Soc., 98, 949957, https://doi.org/10.1175/BAMS-D-15-00234.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Peters-Lidard, C. D., F. Hossain, L. R. Leung, N. McDowell, M. Rodell, F. J. Tapiador, F. J. Turk, and A. Wood, 2019: 100 years of progress in hydrology. A Century of Progress in Atmospheric and Related Sciences: Celebrating the American Meteorological Society Centennial, Meteor. Monogr., No. 59, Amer. Meteor. Soc., https://doi.org/10.1175/AMSMONOGRAPHS-D-18-0019.1.

    • Crossref
    • Export Citation
  • Petterssen, S., 1940: Weather Analysis and Forecasting. McGraw-Hill, 505 pp.

  • Petterssen, S., 1956: Motion and Motion Systems. Vol. I, Weather Analysis and Forecasting, 2nd ed. McGraw-Hill, 428 pp.

  • Petterssen, S., 1974: Kuling fra Nord: En Værvarslers Erindringer (Gale from the North: A Weather Forecaster’s Reminiscences). Aschehoug, 311 pp.

  • Petterssen, S., 2001: Weathering the Storm: Sverre Petterssen, the D-Day Foreast, and the Rise of Modern Meteorology. J. R. Fleming, Ed., Amer. Meteor. Soc., 329 pp.

    • Crossref
    • Export Citation
  • Phillips, N. A., 1957: A coordinate system having some special advantages for numerical forecasting. J. Meteor., 14, 184185, https://doi.org/10.1175/1520-0469(1957)014<0184:ACSHSS>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Phillips, N., 1979: The Nested Grid Model. NOAA Tech. Rep. NWS 22, 88 pp., http://www.nws.noaa.gov/oh/hdsc/Technical_reports/TR22.pdf.

  • Phillips, N., 1998: Carl-Gustaf Rossby: His times, personality, and actions. Bull. Amer. Meteor. Soc., 79, 10971112, https://doi.org/10.1175/1520-0477(1998)079<1097:CGRHTP>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Poincaré, H., 1914: Science and Method. F. Maitland, Translator, Thomas Nelson and Sons, 288 pp., https://archive.org/details/sciencemethod00poinuoft.

  • Powers, J. G., and Coauthors, 2017: The Weather Research and Forecasting Model. Overview, system efforts, and future direction. Bull. Amer. Meteor. Soc., 98, 17171737, https://doi.org/10.1175/BAMS-D-15-00308.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Pudykiewicz, J., and G. Brunet, 2008: The first hundred years of numerical weather prediction. Large-Scale Disasters: Prediction, Mitigation and Control, M. Gad-El-Hak, Ed., Cambridge University Press, 427–446. https://doi.org/10.1017/CBO9780511535963.020.

    • Crossref
    • Export Citation
  • Qaddouri, A., 2011: Nonlinear shallow-water equations on the yin yang grid. Quart. J. Roy. Meteor. Soc., 137, 810818, https://doi.org/10.1002/qj.792.

  • Qaddouri, A., and V. Lee, 2011: The Canadian Global Environmental Multiscale model on the yin-yang grid system. Quart. J. Roy. Meteor. Soc., 137, 19131926, https://doi.org/10.1002/qj.873.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Rabier, F., H. Jarvinen, E. Klinker, J.-F. Mahfouf, and A. Simmons, 2000: The ECMWF operational implementation of four dimensional variational assimilation. Part I: Experimental results with simplified physics. Quart. J. Meteor. Soc., 126, 11431170, https://doi.org/10.1002/qj.49712656415.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Ramage, C. S., 1978: Further outlook—Hazy. Bull. Amer. Meteor. Soc., 59, 1821, https://doi.org/10.1175/1520-0477(1978)059<0018:FO>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Randall, D. A., and Coauthors, 2019: 100 years of Earth system model development. A Century of Progress in Atmospheric and Related Sciences: Celebrating the American Meteorological Society Centennial, Meteor. Monogr., No. 59, Amer. Meteor. Soc., https://doi.org/10.1175/AMSMONOGRAPHS-D-18-0018.1.

    • Crossref
    • Export Citation
  • Reichelderfer, F. W., 1940: Report of the Chief of the Weather Bureau for 1940. U.S. Department of Commerce, 16 pp., ftp://ftp.library.noaa.gov/docs.lib/htdocs/rescue/wb_reportofthechief/1940.pdf.

  • Reichelderfer, F. W., 1941: The how and why of weather knowledge. Climate and Man: Yearbook of Agriculture, U.S. Department of Agriculture, 128–153, https://naldc.nal.usda.gov/download/IND43893761/PDF.

  • Reichelderfer, F. W., 1942: Report of the Chief of the U.S. Weather Bureau for 1942. Department of Commerce, 8 pp., ftp://ftp.library.noaa.gov/docs.lib/htdocs/rescue/wb_reportofthechief/1942.pdf.

  • Reisner, J., R. M. Rasmussen, and R. T. Bruintjes, 1998: Explicit forecasting of supercooled liquid water in winter storms using the MM5 mesoscale model. Quart. J. Roy. Meteor. Soc., 124, 10711107, https://doi.org/10.1002/qj.49712454804.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Richardson, L. F., 1922: Weather Prediction by Numerical Process. Cambridge University Press, 236 pp.

  • Riehl, H., 1954: Tropical Meteorology. McGraw Hill, 392 pp.

  • Rinehart, R. E., 2004: Radar for Meteorologists. University of Michigan, 334 pp.

  • Robert, A., 1969: Forecast experiments with a spectral model. Proc. Seminars on the Middle Atmosphere, Stanstead, QC, Department of Meteorology, McGill University, 69–82.

  • Rodwell, M. J., and Coauthors, 2013: Characteristics of occasional poor medium-range weather forecasts for Europe. Bull. Amer. Meteor. Soc., 94, 13931405, https://doi.org/10.1175/BAMS-D-12-00099.1.

    • Crossref
    • Search Google Scholar
    • Export Citation