NON-GAUSSIAN DATA ASSIMILATION

Jul 15, 2012

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Overview of LectureDescriptive Univariate StatisticsMultivariate Distribution TheoryBayes Theorem and Gaussian Data AssimilationLognormal Distribution, Univariate and Multivariate theoryLognormal Data AssimilationHybrid Data Assimilation4D Lognormal Data Assimilation. Who is Steven Fle

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NON-GAUSSIAN DATA ASSIMILATION

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Non-Gaussian Data Fusion System (NGDFS)

Non-Gaussian Data Fusion System (NGDFS). Daniel H. Wagner Associates, Inc. - www.wagner.com.

212 views • 3 slides

Thermospheric Data Assimilation

355 views • 26 slides

Geogg124: Data assimilation

Geogg124: Data assimilation. P. Lewis. What is Data Assimilation?. Optimal merging of models and data Models Expression of current understanding about process E.g. terrestrial C model Data Observations E.g. EO. Some basic stats. Gaussian PDF:. The uncertainty matrix.

692 views • 53 slides

Data Assimilation

Data Assimilation. Andrew Collard. Overview. Introduction to Atmospheric Data Assimilation Control Variables Observations Background Error Covariance Summary. Overview. Introduction to Atmospheric Data Assimilation Control Variables Observations Background Error Covariance Summary.

505 views • 31 slides

Coupled Data Assimilation

Coupled Data Assimilation. Michele Rienecker Global Modeling and Assimilation Office NASA/GSFC. WMO CAS Workshop Sub-seasonal to Seasonal Prediction Met Office, Exeter 1 to 3 December 2010 . What do we mean by “coupled data assimilation”?

336 views • 20 slides

Radar Data Assimilation

Radar Data Assimilation. For Severe Convective Weather By Kyle Ziolkowski . Outline. 1. Introduction What is radar data assimilation? Why is it important? 2. How is radar data assimilated? Different data assimilation techniques.

732 views • 34 slides

Land Data Assimilation

Land Data Assimilation. Tristan Quaife , Emily Lines, Philip Lewis, Jon Styles. Last 6 month highlights . Implemented vertical heterogeneity in vegetation structure for land surface model RT schemes and observation operators Implemented a particle filter for JULES.

514 views • 27 slides

Data Assimilation

Data Assimilation. Tristan Quaife, Philip Lewis. What is Data Assimilation?. A working definition: The set techniques the combine data with some underlying process model to provide optimal estimates of the true state and/or parameters of that model. What is Data Assimilation?.

1.14k views • 51 slides

Data Assimilation Methods

Data Assimilation Methods. 7 December 2012. Thematic Outline of Basic Concepts. What are the fundamental characteristics of some simple data assimilation methods? What is three-dimensional variational data assimilation, and how does it operate?

642 views • 35 slides

Variational Data Assimilation

Variational Data Assimilation. Hans Huang NCAR Acknowledge: Dale Barker, The WRFDA team, MMM and DATC staff AFWA, NSF, KMA, CWB, BMB, AirDat. Outline. Introduction to data assimilation. Basics of variational data assimilation. Demonstration with a simple system.

1.22k views • 61 slides

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.

638 views • 39 slides

Multiscale Data Assimilation

Multiscale Data Assimilation. Multiscale Dimensionality Reduction for Rainfall Fields. Eulerian vs. Lagrangian Perspectives. Some Difficulties in Rainfall Assimilation. truth. truth. model. precipitation. model. y. x. time. Rainfall Errors at a Point:

277 views • 14 slides

Data Assimilation System

Ocean State Estimation by 4D-VAR Data Assimilation using ARGO Data S. Masuda, T.Awaji,N.Sugiura,H.Igarashi,Y.Ishikawa,Q.Jiang,K.Takeuchi. Four-dimensional Variational (4D-VAR) ocean data assimilation system is used to produce time-varying model/data syntheses.

434 views • 24 slides

Satellite Data Assimilation

Satellite Data Assimilation. Presented by Sid Ahmed Boukabara. Requirement, Science, and Benefit. Requirement/Objective Mission Goal: Improve weather forecast and warning accuracy and amount of lead time Improve water resources forecasting capabilities

287 views • 18 slides

Data Assimilation

Data Assimilation. Data assimilation in different tongues. “Data assimilation” - GFD “State estimation” - nonlinear dynamics “Inverse modeling” - geophysics et al. “Signal processing” – engineering “Chaos synchronization” – physics. At root, it is blending/combining multiple sources

459 views • 26 slides

About data assimilation

About data assimilation. Compiled by Henrik Vedel Center for Meteorological Models (CMM) Danish Meteorological Institute. NWP is an” initial value problem”.

595 views • 45 slides

Coupled Data Assimilation

Coupled Data Assimilation. Michele Rienecker Global Modeling and Assimilation Office NASA/GSFC. WMO CAS Workshop Sub-seasonal to Seasonal Prediction Met Office, Exeter 1 to 3 December 2010. What do we mean by “coupled data assimilation”?

215 views • 20 slides

Data Assimilation

Data Assimilation. MDAB-DA Team Presented by Russ Treadon (special thanks to Daryl Kleist, Andrew Collard, and Jacob Carley). Data assimilation upgrades in the Q2FY19 FV3GFS Implementation. DA Infrastructure Changes.

163 views • 12 slides

Non-Gaussian Based Data Assimilation Lecture 2: Applications

Non-Gaussian Based Data Assimilation Lecture 2: Applications. Steven J. Fletcher Cooperative Institute for Research in the Atmosphere Colorado State University. Overview of Lecture. Do we linearize the Bayesian problem or do we find the Bayesian Problem for the linear increment?

401 views • 38 slides

Non-Gaussian MLEF framework

Log-Normal PDF. Gaussian PDF. Non-Gaussian MLEF framework. Log-likelihood cost-function :. Maximize posterior PDF  minimize cost function. Posterior conditional PDF. Milija Zupanski, CIRA/CSU ZupanskiM@CIRA.colostate.edu. Assume :

96 views • 4 slides

Hybrid Data Assimilation

Hybrid Data Assimilation. Peter Jan van Leeuwen Data Assimilation Research Centre (DARC) National Centre for Earth Observation http:// www.met.reading.ac.uk /~ darc / University of Reading p.j.vanleeuwen@reading.ac.uk. Present-day data-assimilation methods for NWP:. x. EnKF: . x.

474 views • 42 slides

Detection in Non-Gaussian Noise

Detection in Non-Gaussian Noise. JA Ritcey University of Washington January 2008. Outline. Based on Miller & John B. Thomas IEEE IT 1975 Gaussian noise shows few outliers Impulsive noise is common in practice – lightning, glitches, interference, pulses …

161 views • 14 slides

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