50Th Anniversary of Operational Numerical Weather Prediction

Total Page:16

File Type:pdf, Size:1020Kb

50Th Anniversary of Operational Numerical Weather Prediction 50TH ANNIVERSARY OF OPERATIONAL NUMERICAL WEATHER PREDICTION BY KRISTINE HARPER, LOUIS W. UCCELLINI, EUGENIA KALNAY, KENNETH CAREY, AND LAUREN MORONE Editorial Note: A Meeting to Remember. The past examined the state of the art, and discussed the future few years have marked several important anniversaries of numerical weather prediction. For more details, the of landmark events in the history of numerical weather symposium agenda, a compilation of many of the most prediction (NWP). This past August was the 60th anni- important historic NWP papers (available as a CD-ROM), versary of the founding of the Meteorology Project at the and PowerPoint presentations are available online at www. Institute for Advanced Study in Princeton, New Jersey, the ncep.noaa.gov/nwp50. This essay was inspired by the major progenitor of modern weather prediction modeling. Simi- themes of that meeting. larly, 2004 was the 50th anniversary year of operational numerical weather prediction. To celebrate that anniver- he Joint Numerical Weather Prediction Unit (JN- sary and the vast changes NWP has spawned in weather WPU), a financial, administrative, and personnel forecasting, the National Centers for Environmental Pre- Tcollaboration of the U.S. Weather Bureau, Navy, diction (NCEP), the Air Force Weather Agency (AFWA), and Air Force, opened its doors on 1 July 1954. The the Fleet Numerical Meteorology and Oceanography operational unit was the culmination of research by Center (FNMOC), the National Weather Association, and the Meteorology Project at the Institute for Advanced the American Meteorological Society (AMS) cosponsored Study in Princeton, New Jersey; the Numerical Pre- the "Symposium on the 50th Anniversary of Operational diction Project at the Air Force Cambridge Research Numerical Weather Prediction," held on 14-17 June 2004 Laboratory's Geophysical Research Directorate; and at the University of Maryland in College Park, Maryland. the International Meteorological Institute in Stock- For three full days, participants shared their recollections, holm, Sweden. Directed by George Cressman, the JNWPU issued its first operational forecast on 6 May 1955—the day of its dedication. Operational numeri- AFFILIATIONS: HARPER—Department of Humanities, New cal weather prediction had stirred to life only a few Mexico Institute of Mining and Technology, Socorro, New Mexico; months earlier, in late September 1954, when Carl- UCCELLINI AND MORONE—National Centers for Environmental Pre- Gustav Rossby's Stockholm-based team produced diction, Washington, D.C.; KALNAY—Department of Atmospheric the first real-time barotropic forecasts on the Binary and Oceanic Sciences, University of Maryland, College Park, Electronic Sequence Calculator (BESK). Maryland; CAREY—Noblis, Inc., Falls Church, Virginia The JNWPU's first operational forecast maps were CORRESPONDING AUTHOR: Lauren Morone, National Cen- 36-h 400-, 700-, and 900-mb prognoses. The forecast ters for Environmental Prediction, 5200 Auth Road, Room 101, Camp Springs, MD 20746 charts were meteorological in nature and surpassed E-mail: [email protected] expectations, but did not include sensible weather elements and were far from good enough to replace DO!: 10.1175/BAMS-88-5-639 subjective human-based forecasts. However, the opera- In final form 5 December 2006 tional efforts on both sides of the Atlantic provided the ©2007 American Meteorological Society means for operational forecasters, theoreticians, and AMERICAN METEOROLOGICAL SOCIETY MAY 2007 BAFLS- | 639 Unauthenticated | Downloaded 10/09/21 06:55 AM UTC greatest intellectual achievement and scientific advancement in twentieth- century atmospheric science. Like most advances in the atmospheric sciences, NWP was an international achievement dependent upon close cooperation among all facets of the meteorology community—academic and governmental, theoretical and applied, research and operational, and military and civilian. Meteorology's successful research and operational attack on NWP depended on exploit- ing conditions produced by the spoils of World War II: the availability of vast amounts of surface and upper-air data, a 20-fold increase in meteorolo- Fred Shuman (left) and Otha Fuller circa 1955 at the IBM 701. The 701 gists, and the introduction of the new was the first computer used by the JNWPU to produce operational electronic digital computer. numerical weather prediction. Atmospheric scientists continued to exploit advances in all of these atmospheric modelers to combine forces to push NWP areas throughout the remainder of the century. from the fringes of theoretical and applied meteorology Data sources increased with the development of to mainstream atmospheric science within a decade. remote sensing. High-speed communication links Although far from obvious at the time, real-time delivered observational information quickly. Com- numerical weather prediction is now seen as the puter designers created and produced machines with more memory and faster processing capabilities. Moreover, some of the brightest minds in the world, fascinated with atmospheric processes, pursued REFLECTIONS ON THE EARLY DAYS advanced degrees in newly established academic OF OPERATIONAL NUMERICAL programs. The interplay between technological advancement, intradisciplinary cooperation, and WEATHER PREDICTION educational opportunities, coupled with a determi- nation to understand the Earth-atmosphere system he 50th Anniversary Symposium was a special occasion for and apply that knowledge for the benefit of both sci- T a number of reasons, not least because it gathered a num- ence and society, has been the driving force behind ber of the pioneers of numerical weather prediction. Several numerical weather prediction. We see this same of them shared their thoughts about the leading personali- force at work as the twenty-first century unfolds, ties and principal concerns of the early days of computers in creating great promise for the future of numerical forecasting. We quote from their presentations: weather prediction. ON RICHARDSON THE CONVERGENCE OF POLITICAL, SO- Bo Doos: It was a remarkable piece of work. Neverthe- CIAL, AND SCIENTIFIC DEVELOPMENTS. less, I do not think his contribution had very much of an The wide range of weather and climate models— impact on operational NWP. He was too far ahead of both research and operational—available today are his contemporaries in his vision of what might be pos- a direct result of efforts made by a dedicated group sible. There was no Lorenz in these days to inform him of meteorologists, mathematicians, programmers, that it is not always true that the more equations you and forecasters who entertained the notion that add to describe a system, the more accurate will be the objective techniques held the key to advancing the eventual forecast. atmospheric sciences. The NWP pioneers of the 1950s and those who followed in their wake during GEORGE PLATZMANN: At the time operational NWP the second half of the twentieth century did not just was being developed, in the mid-1950s, I believe » miraculously appear. They were the outgrowth of 640 I BAI15- MAY 2007 Unauthenticated | Downloaded 10/09/21 06:55 AM UTC A 1000-mb prog from grid- point "contouring" program written by Air Force Lt. Col. Art Bedient. Early model reso- lution was determined by the characters that could be print- ed per inch by the JNWPU's computer printers. A "bedi- ent" was set as the geographic distance between NWP grid points of one-half-inch separa- tion on a polar stereographic map projection true at 60° with a 1/30,000,000 scale. The resolution of the first NWP models were set at one bedient (381 km). Future models had resolutions set at lA bedient and VA bedient. political and social events, scientific and academic ef- forts within government laboratories and university departments, and technological developments in support than in past conflicts. Pilots needed weather computer and communication systems. Despite support, and they greatly increased the amount of the theoretical work of the nineteenth century, upper-air data available to forecasters. Observational early twentieth-century weather prediction was still more art than science. Its practitioners were often looked down upon by their mathematically rigorous scientific brethren. One scientist who de- Richardson's contributions were viewed mainly in cided to provide a mathematical and physical basis terms of his failed multilevel primitive-equation for meteorology was Norwegian physicist Vilhelm model. Paradoxically, his approach may have been Bjerknes. His participation in this endeavor was a more influential than at first sight appears, because product of broader trends. As historian of science it provided both a goal to strive toward and a lesson Robert Marc Friedman argued in his book on the in how not to begin. I should add that although Rich- Bergen School, Appropriating the Weather, Bjerknes ardson came to understand the underlying reason applied his circulation theorem to the atmosphere for his failure, it took about 25 years for a simple and oceans because there was no funding for his remedy to appear, the barotropic vorticity equation, theoretical physics field in Norway. Having com- which if I'm not mistaken, was the starting point for mitted himself to a new career path, Bjerknes fo- operational prediction. cused on applying physical principles that could be solved with mathematical techniques and argued ON ROSSBY that meteorologists needed to calculate the weather. Bo Doos: Rossby had
Recommended publications
  • Jule Charney's Influence on Meteorology'
    Jule Charney's Influence Norman A. Phillips National Weather Service, NOAA on Meteorology' Washington, D.C. 20233 The opportunity to address the Society on the contributions of Jule Charney to our science is an honor of the highest rank, and I thank you for this invitation. I will try to capture for you a meaningful impression of the extent to which our common undertaking has been influenced by this man (Fig. 1). Let me begin by recalling three historical contexts. The first of these is January 1,1917. Jule is born on this day in San Francisco, to Stella and Ely Charney. Five thousand miles away in Bergen, Norway, Vilhelm Bjerknes and his collabor- ators are developing the concepts of fronts and air masses. Some distance south of Bergen, Lewis Richardson is trans- porting wounded soldiers with the Friends Ambulance Corps. In spare moments, he is working on his monumental formulation of what is now called numerical weather prediction. My second context is around 1940. Jule had entered the University of California at Los Angeles in the mid-thirties, and is now a graduate student there in mathematics. UCLA is expanding, and Jacob Bjerknes and Jrirgen Holmboe ar- rive about this time. (A few years earlier, Bjerknes had pub- lished an important paper on long waves. In 1939, while he was at M.I.T., Carl Rossby published his well known model FIG. 1. A picture of Jule Charney (left), with E. Lorenz, taken in of long waves. These events are unknown to Jule.) Jule 1976 during a visit by Chinese meteorologists to the Massachusetts knows nothing of meteorology until one day he hears a talk Institute of Technology.
    [Show full text]
  • Prospects for Improving Forecasts of Weather and Short-Term Climate Variability on Subseasonal
    NASA/TM_2002-104606, Vol. 23 Techmcal Report Series• on Global Modehn_,• _J and Data Assimilation Volume 23 Prospects for Improved Forecasts of Weather and Short-Term Climate Variability on Subseasonal (2-Week to 2-Month) Time Scales S. Schubert, R. Dole, H. van den DooL MI Suarez, and D. Waliser Ptvceedings flvm a _fbrkshop Sponsored hy the Earth Sciences Directorate at NASA's Goddard Space Flight Centez Co-sponsored by 2v_dSA Seasonal-to-bm_rannual Prediction Project and NAS_d Data Assimilation OJfice April 16-18, 2002 Nc_vember__ 2002 The NASA STI Program Office ... m Profile Since its founding, NASA has been dedicated to CONFERENCE PUBLICATION. Collected the advancement of aeronautics and space papers from scientific and technical science. The NASA Scientific and Technical conferences, symposia, seminars, or other hlf()rmation (STI) Program Office plays a key meetings sponsored or cosponsored by NASA. part in helping NASA maintain this important role. SPECIAL PUBLICATION. Scientific, techni- cal, or historical information from NASA The NASA STI Program Office is operated by programs, projects, and mission, often con- Langley Research Center, the lead center for cemed with subjects having substantial public NASA's scientific and technical information. interest. The NASA STI Program Office provides access to the NASA STI Database, the largest collection TECHNICAL TRANSLATION. of aeronautical and space science STI in the English-I angu age translations of foreign scien- world. The Program Office i s also NASA' s tific and technical material pertinent to NASA's institutional mechanism for disseminating the mission. results of its research and development activi- ties. These results are published by NASA in the Specialized services that complement the STI NASA STI Report Series, which includes the Program Office's diverse offerings include creat- following report types: ing custom thesauri, building customized data- bases, organizing and publishing research results..
    [Show full text]
  • Computer Models, Climate Data, and the Politics of Global Warming (Cambridge: MIT Press, 2010)
    Complete bibliography of all items cited in A Vast Machine: Computer Models, Climate Data, and the Politics of Global Warming (Cambridge: MIT Press, 2010) Paul N. Edwards Caveat: this bibliography contains occasional typographical errors and incomplete citations. Abbate, Janet. Inventing the Internet. Inside Technology. Cambridge: MIT Press, 1999. Abbe, Cleveland. “The Weather Map on the Polar Projection.” Monthly Weather Review 42, no. 1 (1914): 36-38. Abelson, P. H. “Scientific Communication.” Science 209, no. 4452 (1980): 60-62. Aber, John D. “Terrestrial Ecosystems.” In Climate System Modeling, edited by Kevin E. Trenberth, 173- 200. Cambridge: Cambridge University Press, 1992. Ad Hoc Study Group on Carbon Dioxide and Climate. “Carbon Dioxide and Climate: A Scientific Assessment.” (1979): Air Force Data Control Unit. Machine Methods of Weather Statistics. New Orleans: Air Weather Service, 1948. Air Force Data Control Unit. Machine Methods of Weather Statistics. New Orleans: Air Weather Service, 1949. Alaka, MA, and RC Elvander. “Optimum Interpolation From Observations of Mixed Quality.” Monthly Weather Review 100, no. 8 (1972): 612-24. Edwards, A Vast Machine Bibliography 1 Alder, Ken. The Measure of All Things: The Seven-Year Odyssey and Hidden Error That Transformed the World. New York: Free Press, 2002. Allen, MR, and DJ Frame. “Call Off the Quest.” Science 318, no. 5850 (2007): 582. Alvarez, LW, W Alvarez, F Asaro, and HV Michel. “Extraterrestrial Cause for the Cretaceous-Tertiary Extinction.” Science 208, no. 4448 (1980): 1095-108. American Meteorological Society. 2000. Glossary of Meteorology. http://amsglossary.allenpress.com/glossary/ Anderson, E. C., and W. F. Libby. “World-Wide Distribution of Natural Radiocarbon.” Physical Review 81, no.
    [Show full text]
  • Global Weat Her Prediction and High-End Computing at NASA
    Global Weat her Prediction and High-End Computing at NASA Shian-Jiann Lin, Robert Atlas, and Kao-San Yeh* NASA Goddard Space Flight Center *Corresponding author address: Dr. Kao-San Yeh Code 900.3, NASA Goddard Space Flight Center, Greenbelt, MD 20771 E-mail: [email protected] August 18th, 2003 Abstract We demonstrate current capabilities of the NASA finite-volume General Circulation Model an high-resolution global weather prediction, and discuss its development path in the foreseeable future. This model can be regarded as a prototype of a future NASA Earth modeling system intended to unify development activities cutting across various disciplines within the NASA Earth Science Enterprise. 1 1. Introduction NASA’s goal for an Earth modeling system is to unify the model development activities that cut across various disciplines within the Earth Science Enterprise. Applications of the Earth modeling system include, but are not limited to, weather and chemistry-climate change predictions, and atmospheric and oceanic data assimilation. Among these applications, high-resolution global weather prediction requires the highest temporal and spatial resolution, and hence demands the most capability of a high-end computing system. In the continuing quest to improve and perhaps push to the limit of the predictability of the weather (see the related side bar), we are adopting more physically based algorithms with much higher resolution than those in earlier models. We are also including additional physical and chemical components that have not been coupled to the modeling system previously. As a comprehensive high-resolution Earth modeling system will require enormous computing power, it is important to design all component models efficiently for modern parallel computers with distributed-memory platforms.
    [Show full text]
  • Ensemble Forecasting and Data Assimilation: Two Problems with the Same Solution?
    Ensemble forecasting and data assimilation: two problems with the same solution? Eugenia Kalnay(1,2), Brian Hunt(2), Edward Ott(2) and Istvan Szunyogh(1,2) (1)Department of Meteorology and (2)Chaos Group University of Maryland, College Park, MD, 20742 1. Introduction Until 1991, operational NWP centers used to run a single computer forecast started from initial conditions given by the analysis, which is the best available estimate of the state of the atmosphere at the initial time. In December 1992, both NCEP and ECMWF started running ensembles of forecasts from slightly perturbed initial conditions (Molteni and Palmer, 1993, Buizza et al, 1998, Buizza, 2005, Toth and Kalnay, 1993, Tracton and Kalnay, 1993, Toth and Kalnay, 1997). Ensemble forecasting provides human forecasters with a range of possible solutions, whose average is generally more accurate than the single deterministic forecast (e.g., Fig. 4), and whose spread gives information about the forecast errors. It also provides a quantitative basis for probabilistic forecasting. Schematic Fig. 1 shows the essential components of an ensemble: a control forecast started from the analysis, two additional forecasts started from two perturbations to the analysis (in this example the same perturbation is added and subtracted from the analysis so that the ensemble mean perturbation is zero), the ensemble average, and the “truth”, or forecast verification, which becomes available later. The first schematic shows an example of a “good ensemble” in which “truth” looks like a member of the ensemble. In this case, the ensemble average is closer to the truth than the control due to nonlinear filtering of errors, and the ensemble spread is related to the forecast error.
    [Show full text]
  • CICS Annual Report 2014
    Volume II CICS Annual Report 2014 Figure 1: Example of spurious line of fires present in the IDPS-based Active Fires EDR caused by an improperly cali- brated M13 scan acquired on 23 July 2013. We continued our assessment of the VIIRS SDRs in mid-2013 and identified additional problems in several bands with respect to the conversion of radiance to brightness temperatures (Figure 2). Several DRs have been filed as a result of our efforts. Figure 2: Example of flawed band I5 brightness temperatures present in August 2013 VIIRS SDR. Unlike the pattern shown here, there should of course be just one brightness temperature associated with each radiance value. In August 2013 we attended the Suomi NPP EDR Product Review for Active Fires, Surface Reflectance, and Vegetation Indices. Based on our product development and validation results presented to the review panel, the VIIRS Active Fire (formerly Active Fires) EDR was assigned a maturity status of pro- visional in October. 201 Volume II CICS Annual Report 2014 In December 2013 we updated the Joint Polar Satellite System (JPSS) Algorithm Specification Volume II: Data Dictionary for the Active Fires at the request of our NESDIS lead. PLANNED WORK Continue assessment of VIIRS SDR radiance, brightness temperature, and QF data used to generate the VIIRS Active Fire product. Continue work to refine the algorithm parameters and improve performance. Transition algorithm to operations (NDE or IDPS). PUBLICATIONS Csiszar, I., W. Schroeder, L. Giglio, E. Ellicott, K. P. Vadrevu, C. O. Justice, and B. Wind (2014), Active fires from the Suomi NPP Visible Infrared Imaging Radiometer Suite: Product status and first evaluation results, J.
    [Show full text]
  • Atmospheric Modeling, Data Assimilation and Predictability
    This page intentionally left blank Atmospheric modeling, data assimilation and predictability This comprehensive text and reference work on numerical weather prediction covers for the first time, not only methods for numerical modeling, but also the important related areas of data assimilation and predictability. It incorporates all aspects of environmental computer modeling including an historical overview of the subject, equations of motion and their approximations, a modern and clear description of numerical methods, and the determination of initial conditions using weather observations (an important new science known as data assimilation). Finally, this book provides a clear discussion of the problems of predictability and chaos in dynamical systems and how they can be applied to atmospheric and oceanic systems. This includes discussions of ensemble forecasting, El Ni˜no events, and how various methods contribute to improved weather and climate prediction. In each of these areas the emphasis is on clear and intuitive explanations of all the fundamental concepts, followed by a complete and sound development of the theory and applications. Professors and students in meteorology, atmospheric science, oceanography, hydrology and environmental science will find much to interest them in this book which can also form the basis of one or more graduate-level courses. It will appeal to professionals modeling the atmosphere, weather and climate, and to researchers working on chaos, dynamical systems, ensemble forecasting and problems of predictability. Eugenia Kalnay was awarded a PhD in Meteorology from the Massachusetts Institute of Technology in 1971 (Jule Charney, advisor). Following a position as Associate Professor in the same department, she became Chief of the Global Modeling and Simulation Branch at the NASA Goddard Space Flight Center (1983–7).
    [Show full text]
  • Numerical Weather Prediction Basics: Models, Numerical Methods, and Data Assimilation
    Cite this entry as: Pu Z., Kalnay E. (2018) Numerical Weather Prediction Basics: Models, Numerical Methods, and Data Assimilation. In: Duan Q., Pappenberger F., Thielen J., Wood A., Cloke H., Schaake J. (eds) Handbook of Hydrometeorological Ensemble Forecasting. Springer, Berlin, Heidelberg Numerical Weather Prediction Basics: Models, Numerical Methods, and Data Assimilation Zhaoxia Pu and Eugenia Kalnay Contents 1 Introduction: Basic Concept and Historical Overview .. .................................... 2 2 NWP Models and Numerical Methods ...................................................... 4 2.1 Basic Equations ......................................................................... 4 2.2 Numerical Frameworks of NWP Model ............................................... 7 2.3 Global and Regional Models ........................................................... 12 2.4 Physical Parameterizations ............................................................. 13 2.5 Land-Surface and Ocean Models and Coupled Numerical Models in NWP . 18 3 Data Assimilation ............................................................................. 22 3.1 Least Squares Theory ................................................................... 22 3.2 Assimilation Methods .................................................................. 24 4 Recent Developments and Challenges ....................................................... 28 References ........................................................................................ 29 Abstract Numerical
    [Show full text]
  • Draft Prospectus for Synthesis and Assessment Product
    CCSP Product 1.3 Prospectus Draft for Public Comment 1 Prospectus for Synthesis and Assessment Product 1.3 2 3 Re-Analysis of Historical Climate Data for Key Atmospheric Features: 4 Implications for Attribution of Causes of Observed Change 5 6 Lead Agency: NOAA 7 Supporting Agencies: DOE, NASA 8 ________________________ 9 10 1. Overview: Description of Topic, Audience, Intended Use, 11 and Questions to be addressed 12 13 This prospectus provides an implementation plan for developing and producing CCSP Synthesis 14 and Assessment Product 1.3, “Re-Analysis of Historical Climate Data for Key Atmospheric 15 Features: Implications for Attribution of Causes of Observed Change.” Re-analysis (henceforth, 16 reanalysis) is the process of reconstructing a long-term climate record by integrating carefully 17 quality-controlled data obtained from disparate observing systems together within a state-of-the- 18 art model to create a comprehensive, high-quality, temporally continuous, and physically 19 consistent climate analysis data set. Over the past several years, reanalysis data sets have become 20 a cornerstone for research in advancing our understanding of how and why climate has varied 21 over roughly the past half-century. Increasingly, reanalysis data sets and their derived products 22 are also being used in a wide range of climate applications. 23 24 The proposed Report is intended to provide an expert assessment of the capability and limitations 25 of state-of-the-art climate reanalyses, as defined above, to describe past and current climate 26 conditions, and the consequent implications for scientifically interpreting the causes of climate 27 variations and change.
    [Show full text]
  • A Semi-Implicit Modification to the Lorenz N-Cycle Scheme and Its
    JUNE 2016 H O T T A E T A L . 2215 A Semi-Implicit Modification to the Lorenz N-Cycle Scheme and Its Application for Integration of Meteorological Equations DAISUKE HOTTA Japan Meteorological Agency, Tokyo, Japan, and University of Maryland, College Park, College Park, Maryland EUGENIA KALNAY University of Maryland, College Park, College Park, Maryland PAUL ULLRICH Department of Land, Air and Water Resources, University of California, Davis, Davis, California (Manuscript received 23 September 2015, in final form 13 January 2016) ABSTRACT The Lorenz N-cycle is an economical time integration scheme that requires only one function evaluation per time step and a minimal memory footprint, but yet possesses a high order of accuracy. Despite these advantages, it has remained less commonly used in meteorological applications, partly because of its lack of semi-implicit formulation. In this paper, a novel semi-implicit modification to the Lorenz N-cycle is proposed. The advantage of the proposed new scheme is that it preserves the economical memory use of the original explicit scheme. Unlike the traditional Robert–Asselin (RA) filtered semi-implicit leapfrog scheme whose formal accuracy is only of first order, the new scheme has second-order accuracy if it adopts the Crank– Nicolson scheme for the implicit part. A linear stability analysis based on a univariate split-frequency os- cillation equation suggests that the 4-cycle is more stable than other choices of N. Numerical experiments performed using the dynamical core of the Simplified Parameterizations Primitive Equation Dynamics (SPEEDY) atmospheric general circulation model under the framework of the Jablonowski–Williamson baroclinic wave test case confirms that the new scheme in fact has second-order accuracy and is more accurate than the traditional RA-filtered leapfrog scheme.
    [Show full text]
  • M.Sc. in Meteorology UCD Numerical Weather Prediction
    M.Sc. in Meteorology UCD Numerical Weather Prediction Prof Peter Lynch Meteorology & Climate Cehtre School of Mathematical Sciences University College Dublin Second Semester, 2005–2006. Text for the Course The lectures will be based closely on the text Atmospheric Modeling, Data Assimilation and Predictability by Eugenia Kalnay published by Cambridge University Press (2002). 2 Introduction (Kalnay, Ch. 1) Numerical weather prediction provides the basic guidance • for operational weather forecasting beyond the first few hours. 3 Introduction (Kalnay, Ch. 1) Numerical weather prediction provides the basic guidance • for operational weather forecasting beyond the first few hours. Numerical forecasts are generated by running computer • models of the atmosphere that can simulate the evolution of the atmosphere over the next few days. 3 Introduction (Kalnay, Ch. 1) Numerical weather prediction provides the basic guidance • for operational weather forecasting beyond the first few hours. Numerical forecasts are generated by running computer • models of the atmosphere that can simulate the evolution of the atmosphere over the next few days. NWP is an initial-value problem. The initial conditions • are provided by analysis of weather observations. 3 Introduction (Kalnay, Ch. 1) Numerical weather prediction provides the basic guidance • for operational weather forecasting beyond the first few hours. Numerical forecasts are generated by running computer • models of the atmosphere that can simulate the evolution of the atmosphere over the next few days. NWP is an initial-value problem. The initial conditions • are provided by analysis of weather observations. The skill of NWP forecasts depends on accuracy of both • the computer model and the initial conditions. 3 Operational computer weather forecasts have been per- • formed since about 1955.
    [Show full text]
  • Bibliography of Recent Literature in the History of Meteorology Twenty Six Years, 1983-2008
    History of Meteorology 5 (2009) 23 Bibliography of Recent Literature in the History of Meteorology Twenty Six Years, 1983-2008 Brant Vogel Papers of John Jay Columbia University The following is a bibliography of recent secondary literature in the history of meteorol- ogy, broadly conceived. It is presented in chronological order a) to illustrate the growth of his- tory of meteorology as field in the throes of self-definition, and b) because an artificial schema, whether based on subject, region, period, or discipline, would fail in the face of the diversity of the materials represented. It is intended as a tool for students entering the field, a refresher for those already in it, and a reference for historians in other fields.1 History of the Project The bibliography project began in November 2003 at the History of Science Society An- nual Meeting in Cambridge, MA. James Fleming2 organized a session and a subsequent wildcat dinner for ICHM members. At the session, and afterwards, Fleming told me that the IUHPS had requested that its commissions produce bibliographies for the World History of Science Online Project. I offered that I had already compiled a fairly large bibliographic database while com- pleting my dissertation.3 Because of what I found to be the paucity of literature in the historiog- raphy of meteorology when I started my dissertation research, I had gathered everything I could find. Fleming suggested making a more formal project of it. As there were other bibliographic resources for older material, we decided that twenty years of recent historiography would be the most useful.
    [Show full text]