The ENIAC Integrations
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Roots of Ensemble Forecasting
JULY 2005 L E W I S 1865 Roots of Ensemble Forecasting JOHN M. LEWIS National Severe Storms Laboratory, Norman, Oklahoma, and Desert Research Institute, Reno, Nevada (Manuscript received 19 August 2004, in final form 10 December 2004) ABSTRACT The generation of a probabilistic view of dynamical weather prediction is traced back to the early 1950s, to that point in time when deterministic short-range numerical weather prediction (NWP) achieved its earliest success. Eric Eady was the first meteorologist to voice concern over strict determinism—that is, a future determined by the initial state without account for uncertainties in that state. By the end of the decade, Philip Thompson and Edward Lorenz explored the predictability limits of deterministic forecasting and set the stage for an alternate view—a stochastic–dynamic view that was enunciated by Edward Epstein. The steps in both operational short-range NWP and extended-range forecasting that justified a coupling between probability and dynamical law are followed. A discussion of the bridge from theory to practice follows, and the study ends with a genealogy of ensemble forecasting as an outgrowth of traditions in the history of science. 1. Introduction assumption). And with guidance and institutional sup- port from John von Neumann at Princeton’s Institute Determinism was the basic tenet of physics from the for Advanced Study, Charney and his team of research- time of Newton (late 1600s) until the late 1800s. Simply ers used this principle to make two successful 24-h fore- stated, the future state of a system is completely deter- casts of the transient features of the large-scale flow mined by the present state of the system. -
The State of Digital Computer Technology in Europe, 1961
This report indicates the level of computer development and application in each of the thirty countries of Europe, most of which were recently visited by the author The State Of Digital Computer Technology In Europe By NELSON M. BLACHMAN Digital computers are now in use in practically every Communist Countries country in Europe, though in some there are still very few U. S. S.R. A very thorough account of Soviet com- and these are of foreign manufacture. Such machines have puter work is given in the report edited by Willis Ware [3]. been built in sixteen European countries, of which seven To Ware's collection of Russian machines can be added a are producing them commercially. The map above shows computer at the Moscow Power Institute, a school for the the computer geography of Europe and the Near East. It is training of heavy-current electrical engineers (Figure 1). somewhat difficult to rank the countries on a one-dimen- It is described as having a speed of 25,000 fixed-point sional scale both because of the many-faceted nature of the operations or five to seven thousand floating-point oper- computer field and because their populations differ widely ations per second, a word length of 20 or 40 bits, and a in size. Nevertheh~ss, Great Britain clearly comes first 4096-word ferrite-core memory, supplemented by a fixed (after the U. S.). She is followed by (West) Germany, the 256-word store on paper printed with condensers plus a U. S. S. R., France, and Japan. Much useful information on 50,000-word magnetic-tape store. -
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. -
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BEST AVAILABLE COPY i The pur'pose of this DIGITAL COMPUTER Itop*"°a""-'"""neesietter' YNEWSLETTER . W OFFICf OF NIVAM RUSEARCMI • MATNEMWTICAL SCIENCES DIVISION Vol. 9, No. 2 Editors: Gordon D. Goldstein April 1957 Albrecht J. Neumann TABLE OF CONTENTS It o Page No. W- COMPUTERS. U. S. A. "1.Air Force Armament Center, ARDC, Eglin AFB, Florida 1 2. Air Force Cambridge Research Center, Bedford, Mass. 1 3. Autonetics, RECOMP, Downey, Calif. 2 4. Corps of Engineers, U. S. Army 2 5. IBM 709. New York, New York 3 6. Lincoln Laboratory TX-2, M.I.T., Lexington, Mass. 4 7. Litton Industries 20 and 40 DDA, Beverly Hills, Calif. 5 8. Naval Air Test Centcr, Naval Air Station, Patuxent River, Maryland 5 9. National Cash Register Co. NC 304, Dayton, Ohio 6 10. Naval Air Missile Test Center, RAYDAC, Point Mugu, Calif. 7 11. New York Naval Shipyard, Brooklyn, New York 7 12. Philco, TRANSAC. Philadelphia, Penna. 7 13. Western Reserve Univ., Cleveland, Ohio 8 COMPUTING CENTERS I. Univ. of California, Radiation Lab., Livermore, Calif. 9 2. Univ. of California, SWAC, Los Angeles, Calif. 10 3. Electronic Associates, Inc., Princeton Computation Center, Princeton, New Jersey 10 4. Franklin Institute Laboratories, Computing Center, Philadelphia, Penna. 11 5. George Washington Univ., Logistics Research Project, Washington, D. C. 11 6. M.I.T., WHIRLWIND I, Cambridge, Mass. 12 7. National Bureau of Standards, Applied Mathematics Div., Washington, D.C. 12 8. Naval Proving Ground, Naval Ordnance Computation Center, Dahlgren, Virgin-.a 12 9. Ramo Wooldridge Corp., Digital Computing Center, Los Angeles, Calif. -
Niels Ivar Bech
Niels Ivar Bech Born 1920 Lemvig, Denmark; died 1975; originator of Danish computer development. Niels Ivar Bech was one of Europe's most creative leaders in the field of electronic digital computers.1 He originated Danish computer development under the auspices of the Danish Academy of Technical Sciences and was first managing director of its subsidiary, Regnecentralen, which was Denmark's (and one of Europe's) first independent designer and builder of electronic computers. Bech was born in 1920 in Lemvig, a small town in the northwestern corner of Jutland, Denmark; his schooling ended with his graduation from Gentofte High School (Statsskole) in 1940. Because he had no further formal education, he was not held in as high esteem as he deserved by some less gifted people who had degrees or were university professors. During the war years, Bech was a teacher. When Denmark was occupied by the Nazis, he became a runner for the distribution of illegal underground newspapers, and on occasion served on the crews of the small boats that perilously smuggled Danish Jews across the Kattegat to Sweden. After the war, from 1949 to 1957, he worked as a calculator in the Actuarial Department of the Copenhagen Telephone Company (Kobenhavns Telefon Aktieselskab, KTA). The Danish Academy of Technical Sciences established a committee on electronic computing in 1947, and in 1952 the academy obtained free access to the complete design of the computer BESK (Binar Electronisk Sekevens Kalkylator) being built in Stockholm by the Swedish Mathematical Center (Matematikmaskinnamndens Arbetsgrupp). In 1953 the Danish academy founded a nonprofit computer subsidiary, Regnecentralen. -
Norwegian Computer Tecnology Founding a New Industry
Norwegian Computer Tecnology Founding a new Industry Yngvar Lundh Research Engineer rered from NDRE Norwegian Defence Research Establisment Early history of development a personal account • 1950s: – Electronic brains ”Replacing so many matemacians” – A few isolated goups in Scandinavia BESK, DASK, NUSSE – Similar groups in the US and elsewhere Probably many military applicaons. • 1960s: – Group of young research engineers at NDRE – Spawning three major businesses Three growing businesses • Norsk Data grew fast to become ”The Flagship of Norwegian Industry” – unl the crisis in the late 1980s • Computer division of Kongsberg Våpenfabrikk specialised systems • Consulng company AS Informasjonskontroll Informasjonskontroll Professional knowledge,advice and assistance Study ”Siffer Frekvens‐ systemet” could In my thesis work I invesgated add, mulply, divide a special digital technique Vacuum tube digital logic Reliability • Vacuum tubes unreliable • Much litterature about that • Solid state? Transistors and magnec devices were studied and a few experimental transistorized machines were built in the late 1950s in USA Fellowship at MIT • In 1958 – 59 I was guest • I could use it all by at MIT and worked on myself the TX‐0 computer • Studied circuits • Transistors • Magnec core memory • CRT screen Paper tape, CRT, Flexowriter • Programming in binary Exploing Man machine • Some fellow researchers communicaons in the TX‐0 lab developed useful programming aids: • Tom Stockham: ”Insight” • Larry Roberts: ”Text on the screen” • Yngvar Lundh: Input via -
Något Om De Första Svenska Datamaskinerna
Något om de första svenska datamaskinerna Av Jörgen Lund De datamaskiner - eller som vi säger idag, datorer - som fanns tillgängliga i början av 1950-talet var samtliga laboratoriebyggda. De var till yttermera visso inte datorer i modern bemärkelse utan snarare automatiska beräkningsmaskiner. Det skulle dröja några år innan de första egentliga ”databehandlingsmaskinerna”, dvs vad tyskarna kal lade ”Datenverarbeitungsanlagen”, kom på marknaden; med andra ord, datorer avsedda för det område som kallas administrativ databe handling (ADB). I och med lanseringen av de första ADB-datorerna i slutet av 1950-talet i Sverige inleddes en ny epok med en mer allmän utbredning och användning av det relativt nya hjälpmedlet, datorn. I mitten av 50-talet stod det klart att datorn var ett hjälpmedel att räkna med i framtiden - i dubbel bemärkelse. Sverige skulle bli något av ett föregångsland i kraft av skickliga och begåvade tekniker och matematiker. Visserligen hade man innan dess varit i det stora landet i väst, USA, och lärt sig en hel del om den nya teknologin; visserligen hade amerikanska maskiner tjänat som förebild för de första svenska datorerna, men de konstruerades och byggdes icke förty av svenska tekniker och matematiker. ”Nattvandrare Varför inte inleda med ett citat ur Dagens Nyheter 1 februari 1953: kan konstatera ”Nattvandrare kan konstatera att det alltid lyser i nämndens fönster att.. ut mot Drottninggatan. Där arbetar BARK, Sveriges första matema tikmaskin, ambitiöst dygnet runt och tjänar in vackra slantar ät svenska staten. När den blev färdig 1950 hade den kostat 600000 kronor. Nu ger den en avkastning pä i runt tal 100000 om äret och kan alltsä sägas vara en ovanligt lyckad kapitalplacering. -
An Abstract of the Dissertation Of
AN ABSTRACT OF THE DISSERTATION OF Kristine C. Harper for the degree of Doctor of Philosophy in History of Science presented on April 25, 2003. Title: Boundaries of Research: Civilian Leadership, Military Funding, and the International Network Surrounding the Development of Numerical Weather Prediction in the United States. Redacted for privacy Abstract approved: E. Doel American meteorology was synonymous with subjective weather forecasting in the early twentieth century. Controlled by the Weather Bureau and with no academic programs of its own, the few hundred extant meteorologists had no standing in the scientific community. Until the American Meteorological Society was founded in 1919, meteorologists had no professional society. The post-World War I rise of aeronautics spurred demands for increased meteorological education and training. The Navy arranged the first graduate program in meteorology in 1928 at MIT. It was followed by four additional programs in the interwar years. When the U.S. military found itself short of meteorological support for World War II, a massive training program created thousands of new mathematics- and physics-savvy meteorologists. Those remaining in the field after the war had three goals: to create a mathematics-based theory for meteorology, to create a method for objectively forecasting the weather, and to professionalize the field. Contemporaneously, mathematician John von Neumann was preparing to create a new electronic digital computer which could solve, via numerical analysis, the equations that defmed the atmosphere. Weather Bureau Chief Francis W. Reichelderfer encouraged von Neumann, with Office of Naval Research funding, to attack the weather forecasting problem. Assisting with the proposal was eminent Swedish-born meteorologist Carl-Gustav Rossby. -
The ENIAC Forecasts
THE ENIAC NCEP–NCAR reanalyses help show that four historic forecasts made in 1950 with a pioneering electronic FORECASTS computer all had some predictive skill and, with a A Re-creation minor modification, might have been still better. BY PETER LYNCH he first weather forecasts executed on an auto- However, they were not verified objectively. In this matic computer were described in a landmark study, we recreate the four forecasts using data avail- T paper by Charney et al. (1950, hereafter CFvN). able through the National Centers for Environmental They used the Electronic Numerical Integrator and Prediction–National Center for Atmospheric Research Computer (ENIAC), which was the most powerful (NCEP–NCAR) 50-year reanalysis project. A com- computer available for the project, albeit primitive parison of the original and reconstructed forecasts by modern standards. The results were sufficiently shows them to be in good agreement. Quantitative encouraging that numerical weather prediction be- verification of the forecasts yields surprising results: came an operational reality within about five years. On the basis of root-mean-square errors, persistence CFvN subjectively compared the forecasts to analy- beats the forecast in three of the four cases. The mean ses and drew general conclusions about their quality. error, or bias, is smaller for persistence in all four cases. However, when S1 scores (Teweles and Wobus 1954) are compared, all four forecasts show skill, and three FIG. 1. Visitors and some participants in the 1950 ENIAC are substantially better than persistence. computations. (left to right) Harry Wexler, John von Neumann, M. H. Frankel, Jerome Namias, John Freeman, Ragnar Fjørtoft, Francis Reichelderfer, and Jule Charney. -
NCAR/TN-298+PROC Conversations with Jule Charney
NCAR/TN-298+PROC NCAR TECHNICAL NOTE _ _ _ __ November 1987 Conversations with Jule Charney George W. Platzman, University of Chicago INSTITUTE ARCHIVES AND SPECIAL COLLECTIONS, MIT LIBRARIES CLIMATE AND GLOBAL DYNAMICS DIVISION ~w- --I - --- -I I I MASSACHUSETTS INSTITUTE NATIONAL CENTER FOR ATMOSPHERIC RESEARCH OF TECHNOLOGY BOULDER, COLORADO CAMBRIDGE, MASSACHUSETTS Copyright © 1987 by the Massachusetts Institute of Technology For permission to publish, contact Institute Archives and Special Collections MIT Libraries, 14N-1 18 Massachusetts Institute of Technology Cambridge, MA 02139 CONVERSATIONS WITH JULE CHARNEY CONTENTS Interviewer's foreword . Transcriber's foreword . .. viii Publisher's foreword . Outline of tape contents * . * . o 0 xi Transcript of the interview . .0 . 1 Interviewer's commentary .0 0 0 0 0 .151 Appendix ...... 158 ... Charney interview Interviewer's foreword v FOREWORD Interviewer's foreword In the Spring of 1980 Jule wrote to me of his wish to under- take a "tape-recorded oral biography." (His letter is reproduced in Appendix D to this transcript.) The publishers Harper and Row had asked him to write a biography, with financial support from the Sloan Foundation, but he felt that an oral interview would be "the best first approximation." I replied enthusiastically. A few weeks later I had second thoughts and wrote to Jule that on reflection, I had become sobered by the subtleties of the art of interviewing, and suggested we engage a professional for the "basics", which could then be supplemented by a more idiosyncratic sequel such as he and I could do. Jule was firm, however, in his preference for working with someone with whom he felt he could communicate easily as a colleague. -
Annual Awards'
annual awards' The Carl-Gustaf Rossby Reserch Medal The highest honor of the Society, the Carl-Gustaf Rossby Research Medal, was conferred this year on Joseph Smagorinsky, director of the Geophysical Fluid Dy- namics Laboratory, National Oceanic and Atmospheric Administration, "for his creative leadership in numerical modeling of the general circulation of the atmosphere." Dr. Smagorinsky received his early meteorological training at Brown University and the Massachusetts Institute of Technology while serving in the U.S. Air Force (1943-46). After leaving military service he be- came a research and teaching assistant at New York University, where he received his B.S., M.S., and Ph.D. degrees in meteorology. In 1948 he joined the U.S. Weather Bureau, and in 1950-53 he was an active mem- President Alfred K. Blackadar, Dr. George S. Benton, Chair- ber of the group then working at Princeton, in the man of the Awards Committee, and Dr. Joseph Smagorinsky Institute for Advanced Study, on development of the first successful numerical weather prediction model. Dr. served on numerous national and international com- Smagorinsky returned to Washington in 1953 to head mittees, among them the Committee on Atmospheric the Weather Bureau's Numerical Weather Prediction Sciences of the National Academy of Sciences and the Unit. When the Joint Air Force-Navy-Weather Bureau Commission on Aerology of the World Meteorological Numerical Weather Prediction Unit was established in Organization. He delivered the 1963 Symons Memorial 1954 to put numerical forecasting on an operational Lecture to the Royal Meteorological Society and the footing, he became chief of that group's Computation Wexler Memorial Lecture to the American Meteoro- Section. -
Climbing Down Charney's Ladder: Machine Learning and the Post
Climbing down Charney’s ladder: machine learning and royalsocietypublishing.org/journal/rsta the post-Dennard era of computational climate science Discussion V. Balaji1,2 Cite this article: Balaji V. 2021 Climbing down 1Princeton University and NOAA/Geophysical Fluid Dynamics Charney’s ladder: machine learning and the Laboratory, Princeton, NJ, USA post-Dennard era of computational climate 2Institute Pierre-Simon Laplace, Paris, France science. Phil.Trans.R.Soc.A379: 20200085. https://doi.org/10.1098/rsta.2020.0085 VB, 0000-0001-7561-5438 The advent of digital computing in the 1950s sparked Accepted: 30 July 2020 a revolution in the science of weather and climate. Meteorology, long based on extrapolating patterns One contribution of 13 to a theme issue in space and time, gave way to computational ‘Machine learning for weather and climate methods in a decade of advances in numerical weather forecasting. Those same methods also gave modelling’. rise to computational climate science, studying the behaviour of those same numerical equations Subject Areas: over intervals much longer than weather events, artificial intelligence, computational physics, and changes in external boundary conditions. atmospheric science, climatology, Several subsequent decades of exponential growth in meteorology, computational mathematics computational power have brought us to the present day, where models ever grow in resolution and Keywords: complexity, capable of mastery of many small-scale computation, climate, machine learning phenomena with global repercussions, and ever more intricate feedbacks in the Earth system. The current juncture in computing, seven decades later, heralds Author for correspondence: an end to what is called Dennard scaling, the physics V. Balaji behind ever smaller computational units and ever e-mail: [email protected] faster arithmetic.