and Prediction

Results: 12348



#Item
931The Alpine Model (aLMo) in Switzerland Guy de Morsier Federal Office of Meteorology and Climatology (MeteoSwiss) Krähbühlstrasse 58, Postbox, CH-8044 Zurich, Tel. +

The Alpine Model (aLMo) in Switzerland Guy de Morsier Federal Office of Meteorology and Climatology (MeteoSwiss) Krähbühlstrasse 58, Postbox, CH-8044 Zurich, Tel. +

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Source URL: srnwp.met.hu

Language: English - Date: 2003-01-13 05:35:03
932Xiaoming Hu Center for Analysis and Prediction of Storms Univ. of Oklahoma US Permanent Resident, No work authorization needed

Xiaoming Hu Center for Analysis and Prediction of Storms Univ. of Oklahoma US Permanent Resident, No work authorization needed

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Source URL: www.micromet.psu.edu

Language: English - Date: 2013-11-03 00:02:56
    933GEOPHYSICAL RESEARCH LETTERS, VOL. 32, L02809, doi:2004GL021024, 2005 A new approach for 3D cloud-resolving simulations of large-scale atmospheric circulation Zhiming Kuang, Peter N. Blossey, and Christopher S.

    GEOPHYSICAL RESEARCH LETTERS, VOL. 32, L02809, doi:2004GL021024, 2005 A new approach for 3D cloud-resolving simulations of large-scale atmospheric circulation Zhiming Kuang, Peter N. Blossey, and Christopher S.

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    Source URL: www.people.fas.harvard.edu

    Language: English - Date: 2005-06-14 00:13:37
    934FP7-SECProjectCyber-security on SCADA: risk prediction, analysis and reaction tools for Critical Infrastructures D4.2 - Automatic Reaction Strategies and RTU

    FP7-SECProjectCyber-security on SCADA: risk prediction, analysis and reaction tools for Critical Infrastructures D4.2 - Automatic Reaction Strategies and RTU

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    Source URL: www.cockpitci.eu

    Language: English - Date: 2015-04-04 09:28:29
    935The Partition Function Variant of Sankoff ’s Algorithm Ivo L. Hofacker1 and Peter F. Stadler1,2 1 Institut f¨

    The Partition Function Variant of Sankoff ’s Algorithm Ivo L. Hofacker1 and Peter F. Stadler1,2 1 Institut f¨

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    Source URL: www.bioinf.uni-leipzig.de

    Language: English - Date: 2004-01-30 07:21:50
    936Dekadno: ICPACIGAD CLIMATE PREDICTION AND APPLICATIONS CENTRE (ICPAC) 10 DAY CLIMATOLOGICAL SUMMARY AND IMPACTS FOR DEKAD – 31 MAYAND

    Dekadno: ICPACIGAD CLIMATE PREDICTION AND APPLICATIONS CENTRE (ICPAC) 10 DAY CLIMATOLOGICAL SUMMARY AND IMPACTS FOR DEKAD – 31 MAYAND

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    Source URL: www.icpac.net

    Language: English - Date: 2015-06-10 03:54:27
    937Seasonal to decadal prediction of the winter North Atlantic Oscillation: emerging capability and future prospects D. Smith, A. Scaife, A. Arribas, E. Blockley, A. Brookshaw, R.T. Clark, N. Dunstone, R. Eade, D. Fereday,

    Seasonal to decadal prediction of the winter North Atlantic Oscillation: emerging capability and future prospects D. Smith, A. Scaife, A. Arribas, E. Blockley, A. Brookshaw, R.T. Clark, N. Dunstone, R. Eade, D. Fereday,

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    Source URL: www.prime-pco.com

    Language: English - Date: 2014-12-03 02:29:24
      938BPUB 720 SPRING 2010/Q4 PROF. WOLFERS BEHAVIORAL ECONOMICS AND PREDICTION AND BETTING MARKETS Motivation

      BPUB 720 SPRING 2010/Q4 PROF. WOLFERS BEHAVIORAL ECONOMICS AND PREDICTION AND BETTING MARKETS Motivation

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      Source URL: users.nber.org

      Language: English - Date: 2010-03-17 08:34:09
      939What is a Strategic Environmental Assessment? The SEA is an environmental assessment process carried out before decisions have to be made about specific projects. It involved the participation of a wide range of stakehol

      What is a Strategic Environmental Assessment? The SEA is an environmental assessment process carried out before decisions have to be made about specific projects. It involved the participation of a wide range of stakehol

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      Source URL: www.oera.ca

      Language: English - Date: 2013-04-24 10:09:58
      940Homework Assignment 1 The purpose of this homework is to apply linear regression on a real data set. We will consider three ways of improving prediction accuracy: feature selection, ridge regression and the lasso. We wil

      Homework Assignment 1 The purpose of this homework is to apply linear regression on a real data set. We will consider three ways of improving prediction accuracy: feature selection, ridge regression and the lasso. We wil

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      Source URL: www.timvanerven.nl

      Language: English - Date: 2014-11-14 05:53:12