Podcasts about area forecast

Joanna Donnelly, Author From Malin Head to Mizen Head: A Journey Around the Sea Area Forecast” 

The inside scoop on D.C.-area weather

Local area forecast for April 14, 2020

Local area forecast for April 11, 2020

Huntsville area forecast and events

Bit of a jazzy show tonight. Triangle featured label is Two Rivers Records and lots of classics and new releases on there to. Tracklisting: Charles Mingus – Oh Lord Don’t Let Them Drop That Atomic Bomb On Me – Oh Yeah (Atlantic) – BuyRyan Choi – When Mill – Whenmill (Off) – BuyFar Rainbow featuring John Doran – Area Forecast for the Borough of Camden (edit) – Area Forecast for the Borough of Camden (Self Released) – BuyGabriele Meirano and Xu Fengxia – In The Way – New Vintage Sessions (577) – BuyAlexander Manotskov & Courage Quartet – Mama – Mama (Fancy Music) – BuyYusef Lateef – Medula Sonata – Psychicemotus (Impulse) – Buy Thurston Moore, Evan Parker, Walter Prati ‎- Are – The Promise (Materiali Sonori) – BuyNautilus – Make Me Humble – Infrablue (Two Rivers) – BuyRobert Menzel – Barbie Girl – Alchemy (Two Rivers) – BuyRachel Musson, Mark Sanders, John Edwards – Furnace (edit) – Bibimbap (Two Rivers) – Buy

Roman Frigg (LSE) gives a talk at the CAS Research Focus Series „Reduction and Emergence“ (13 November, 2013) titled "Chaos Beyond the Butterfly Effect: The Poison Pill of Structural Model Error" (host: Stephan Hartmann (MCMP/LMU)). Abstract: The sensitive dependence on initial condition associated with chaotic models, the so-called "Butterfly Effect", imposes limitations on the models’ predictive power. These limitations have been widely recognized and extensively discussed. In this lecture, Roman Frigg will draw attention to an additional so far under-appreciated problem, namely structural model error (SME). If a nonlinear model has only the slightest SME, then its ability to generate useful prediction is lost. This puts us in a worse epistemic situation: while we can mitigate against the butterfly effect by making probabilistic predictions, this route is foreclosed in the case of SME. Roman Frigg will discuss in what way the description of problems affects actual modeling projects, in particular in the context of making predictions about the local effects of climate change.

The sensitive dependence on initial condition associated with chaotic models, the so-called "Butterfly Effect", imposes limitations on the models’ predictive power. These limitations have been widely recognized and extensively discussed. In this lecture, Roman Frigg will draw attention to an additional so far under-appreciated problem, namely structural model error (SME). If a nonlinear model has only the slightest SME, then its ability to generate useful prediction is lost. This puts us in a worse epistemic situation: while we can mitigate against the butterfly effect by making probabilistic predictions, this route is foreclosed in the case of SME. Roman Frigg will discuss in what way the description of problems affects actual modeling projects, in particular in the context of making predictions about the local effects of climate change. | Center for Advanced Studies & Munich Center for Mathematical Philosophy: 10.01.2014 | Speaker: Dr. Roman Frigg

The sensitive dependence on initial condition associated with chaotic models, the so-called "Butterfly Effect", imposes limitations on the models’ predictive power. These limitations have been widely recognized and extensively discussed. In this lecture, Roman Frigg will draw attention to an additional so far under-appreciated problem, namely structural model error (SME). If a nonlinear model has only the slightest SME, then its ability to generate useful prediction is lost. This puts us in a worse epistemic situation: while we can mitigate against the butterfly effect by making probabilistic predictions, this route is foreclosed in the case of SME. Roman Frigg will discuss in what way the description of problems affects actual modeling projects, in particular in the context of making predictions about the local effects of climate change. | Center for Advanced Studies & Munich Center for Mathematical Philosophy: 10.01.2014 | Speaker: Dr. Roman Frigg