'Model state' diaporamas de présentation

Data assimilation

Data assimilation. Derek Karssenberg, Faculty of Geosciences, Utrecht University. time. Calibration. Adjust parameters p and inputs i. Compare with state variables z. Historical observations. time. Forecasting. calibration. Forecast with calibrated model. Historical observations.

611 views • 39 slides

Mental Modeling Workshop

Mental Modeling Workshop. Mental Modeling in Theory and Practice. Theories of learning in science. Social Cultural. Social Learning. Vygotsky. Social Linguistic. Piaget Individual Learning. Model-based Co-construction. Conceptual Change. Science Education Student Preconceptions.

596 views • 38 slides

Overview of Design Patterns & The MVC Design Pattern

Overview of Design Patterns & The MVC Design Pattern. Sapana Mehta. Design Patterns. A pattern is a proven solution to a problem in a context. Christopher Alexander says each pattern is a three-part rule which expresses a relation between a certain context, a problem, and a solution.

619 views • 34 slides

Parametrizations in Data Assimilation

Parametrizations in Data Assimilation. ECMWF Training Course 3-12 June 2013. Philippe Lopez Physical Aspects Section, Research Department, ECMWF (Room 109). Parametrizations in Data Assimilation. Introduction Why are physical parametrizations needed in data assimilation?

514 views • 34 slides

PHMSA Office of Pipeline Safety

PHMSA Office of Pipeline Safety . Pipelines and Informed Planning Alliance (PIPA). Why? Safely transporting energy products. The safety risks of transmission pipelines are low Individual incidents serious safety and economic consequences. Development near transmission pipelines.

452 views • 32 slides

COSTA An Introduction Nils van Velzen email: c.vanvelzen@tudelft.nl

www.costapse.org. COSTA An Introduction Nils van Velzen email: c.vanvelzen@tudelft.nl. www.costapse.org. Outline. Data assimilation and calibration Existing software and programming issues COSTA Application of COSTA with WAQUA/TRIWAQ Conclusions. Data assimilation and calibration.

413 views • 32 slides

Improving Test Design with Model Based Testing

Improving Test Design with Model Based Testing. VESTEL. VESTEL. VESTEL. VESTEL. VESTEL. Japanese. Other Major Clients. VESTEL. An LCD is produced in 1.9 seconds. VESTEL. TEST&VERIFICATION. VESTA.

563 views • 32 slides

469 views • 29 slides

Ensemble Kalman Filter

Ensemble Kalman Filter. Dusanka Zupanski CIRA/Colorado State University Fort Collins, Colorado. Guest Lecture at AT 753: Atmospheric Water Cycle 21 April 2006, CSU/ATS Dept., Fort Collins, CO. Acknowledgements: M. Zupanski, C. Kummerow, S. Denning, and M. Uliasz, CSU

644 views • 28 slides

Testing AJAX functionality with UniTESK

SYRCoSE 20 10. Testing AJAX functionality with UniTESK. Yevgeny Gerlits, a postgraduate student from Lomonosov Moscow State University. AJAX vs. Classic web application. Classic. AJAX. Client side (browser). Client side (browser). User interface. User interface. User interface

430 views • 25 slides

Space-Time Variability in Carbon Cycle Data Assimilation

Space-Time Variability in Carbon Cycle Data Assimilation. Scott Denning, Peter Rayner, Dusanka Zupanski, Marek Uliasz, Nick Parazoo, Ravi Lokupitiya, Andrew Schuh, Ian Baker, and Ken Davis. Acknowledgements: Support by US NOAA, NASA, DoE. Regional Fluxes are Hard!.

334 views • 25 slides

Research Methods in Behavioural Ecology

Research Methods in Behavioural Ecology. Hypotheses, models, predictions, & theories. Principles are logical construction Hypotheses are too, but they’re more tentative Model: A formalized representation of a system Can be ‘hypothetical’ Mathematical, computational, physical

403 views • 23 slides

Developing Flash MX 2004 Components

Developing Flash MX 2004 Components. Using the Version 2 Architecture CFUN-04. Chafic Kazoun, Senior Flash Developer B-Line Express: http://www.blinex.com Weblog: http://www.rewindlife.com. Outline. A bit of component theory The need for an architecture

338 views • 23 slides

Ensemble Data Assimilation and Prediction: Applications to Environmental Science

Ensemble Data Assimilation and Prediction: Applications to Environmental Science. Dusanka Zupanski CIRA/Colorado State University Fort Collins, Colorado. Presentation at EWHA Department of Environmental Science and Engineering May 26, 2005. Collaborators

373 views • 22 slides

The assimilation of satellite radiances in LM

The assimilation of satellite radiances in LM. F. Di Giuseppe, B. Krzeminski ,R. Hess, C. Shraff. (1) ARPA-SIM Italy (2) IMGW,Poland (3)DWD, Germany. AIMs. To develop a software package for the assimilation of: temperature and humidity profiles Surface param e te r s (T_2m, Qv_2M, T_g)

335 views • 21 slides

Least Restrictive Environment ( LRE )

515 views • 20 slides

Disproportionality

527 views • 20 slides

Zdeslav Hrepic Dean A. Zollman N. Sanjay Rebello

Zdeslav Hrepic Dean A. Zollman N. Sanjay Rebello. Students' Mental Models of Sound Propagation. 125 th AAPT National Meeting Boise, Idaho. Kansas State University Physics Education Research Group. Supported by NSF ROLE Grant # REC-0087788. Research Questions.

354 views • 18 slides

Understanding the 3DVAR in a Practical Way

Lecture One:. Understanding the 3DVAR in a Practical Way. Jidong Gao jdgao@ou.edu Center for Analysis and Prediction of Storms University of Oklahoma. A simple example. A variational data assimilation algorithm can involve: Variational calculus; inverse problem theory;

252 views • 17 slides

Events and Leaders of 1845 C-Notes

?. Events and Leaders of 1845 C-Notes . Texas Joins the U.S. In 1845, U.S. President James K. Polk invited Tex. to join the USA 1. Why did the U.S. decide to add Texas to their country? By joining a new country, Tex. now had to create a new constitution .

175 views • 6 slides