'Eof analysis' presentation slideshows

Exploring the similarities and differences between MODIS, PATMOS and ISCCP

591 views • 45 slides

489 views • 34 slides

Clustering Techniques and their applications at ECMWF

Clustering Techniques and their applications at ECMWF. Susanna Corti European Centre for Medium-Range Weather Forecasts. Outline. Cluster analysis - Generalities Metrics Clustering techniques Suitable (sub)spaces of states K-means method Significance Number of clusters Examples

539 views • 32 slides

450 views • 31 slides

An Investigation of the Arctic Oscillation and Georgia Temperature/Rainfall

An Investigation of the Arctic Oscillation and Georgia Temperature/Rainfall. Melissa Le Fevre EAS 4480 Data Analysis Final Project Presentation April 23, 2013. PRESENTATION OVERVIEW. Arctic Oscillation Introduction Motivation Source of data Class Correlation Statistical analysis

441 views • 29 slides

In Seek of Climate change scenarios for California from CMIP5 Dan Cayan SIO and USGS

462 views • 24 slides

Investigation of Spatial Mosquito Population Trends Using EOF Analysis: Model Vs Count Data in Pasco County Florida

486 views • 23 slides

The diurnal cycle in GERB data

ESSC Postgraduate Corner 23 rd June 2005. The diurnal cycle in GERB data. Analysis of the diurnal cycle of outgoing longwave radiation (OLR) One month of GERB top of atmosphere OLR flux data from July 2004. Ruth Comer, Tony Slingo & Richard Allan

520 views • 21 slides

The diurnal cycle in GERB data

GIST 23 27 th -29 th April DWD, Germany. The diurnal cycle in GERB data. The diurnal cycle represents one of the most significant modes of atmospheric forcing OLR provides information about surface heating response and cloud variation

288 views • 19 slides

The diurnal cycle in GERB data

GIST 23 27 th -29 th April DWD, Germany. The diurnal cycle in GERB data. The diurnal cycle represents one of the most significant modes of atmospheric forcing OLR provides information about surface heating response and cloud variation

321 views • 19 slides

Atlantic Multidecadal Variability and Its Climate Impacts in CMIP3 Models and Observations

Atlantic Multidecadal Variability and Its Climate Impacts in CMIP3 Models and Observations. Mingfang Ting With Yochanan Kushnir, Richard Seager, Cuihua Li June 8, 2010 2010 U.S. AMOC Annual Meeting Miami, FL. Observed AMO (AMV) Indices. Linear de-trending. Global mean SST as forced signal.

314 views • 18 slides

Swiss Alpine snow variability: Its links to large scale flow patterns

Swiss Alpine snow variability: Its links to large scale flow patterns. ICAM-MAP meeting, Brig (CH) Fri 23 th May 2003 Simon C. Scherrer C. Appenzeller Federal Office of Meteorology and Climatology (MeteoSwiss), Switzerland scs@meteoswiss.ch. Swiss snow variability. Klosters 1999 (GR).

270 views • 17 slides

Composite Regression Analysis of the 8 Phases of the MJO By: Zachary Handlos

257 views • 15 slides

Working group on Extended Range Prediction Ministry of Earth System Sciences, India

Extended range prediction during 2014 season. Using CFS based Grand Ensemble Prediction System (CGEPS). INITIAL CONDITION: 31 May 2014. Working group on Extended Range Prediction Ministry of Earth System Sciences, India. Strategy: Ensemble Prediction using CFSv2.

223 views • 12 slides

EOF Analysis

EOF Analysis. EOF analysis. The empirical orthogonal function (EOF) analysis is a decomposition of a signal or data set in terms of orthogonal base functions which are determined from the data. It is also called principal component analysis.

355 views • 6 slides

EOF ANALYSIS

EOF ANALYSIS. Means of examining variations in beach profiles in a compact fashion Describes data variability in terms of orthogonal functions or statistical modes No direct physical or mathematical relationship necessarily exists between EOFs and actual processes. EOF ANALYSIS.

174 views • 6 slides

Influence of the tropics on the climate of the South Atlantic

Semyon A. Grodsky and James A. Carton, University of Maryland, College Park, MD, USA.

139 views • 1 slides

A. G. Turner * , P. M. Inness & J. M. Slingo

Impacts of systematic model biases on intraseasonal variability of the Asian summer monsoon and the intraseasonal-interannual relationship. Contact: a.g.turner@rdg.ac.uk Walker Institute, University of Reading, UK. A. G. Turner * , P. M. Inness & J. M. Slingo.

127 views • 1 slides