Predictors Observed rainfall up to May.

Slides:



Advertisements
Similar presentations
Theory Hypothesis Falsification which is the act of disproving a hypothesis or theory.
Advertisements

CORRELATIONAL RESEARCH o What are the Uses of Correlational Research?What are the Uses of Correlational Research? o What are the Requirements for Correlational.
Climate Predictability Tool (CPT)
Enhancing the Scale and Relevance of Seasonal Climate Forecasts - Advancing knowledge of scales Space scales Weather within climate Methods for information.
Maximum Covariance Analysis Canonical Correlation Analysis.
CFSv2 monthly mean forecast skill December, 2010.
Assessment of CFSv2 hindcast (seasonal mean) CPC/NCEP/NOAA Jan 2011.
Statistical corrections of Central Southwest Asia winter precipitation simulations (and forecasts!) Michael K. Tippett, IRI Matt Barlow, AER Brad Lyon,
Clim.pact – a tool for empirical-statistical downscaling Monika Cahynová cas.cz Institute of Atmospheric Physics & Faculty of Science, Charles.
Estimating future changes in daily precipitation distribution from GCM simulations 11 th International Meeting on Statistical Climatology Edinburgh,
Heiko Paeth Statistical postprocessing of simulated precipitation – perspectives for impact research IMSC 2010 Heiko Paeth.
CIG seminar -- September 27, Regional Climate Update Fall 2007.
00 UTC 18 Dec Runs 204 h forecast of 540 DM height valid 12 UTC 26 Dec.
Results The wheat yield prediction method has been run for the years using observed data until the last day of April and, after that day, the.
Stochastic Disagregation of Monthly Rainfall Data for Crop Simulation Studies Amor VM Ines and James W Hansen International Institute for Climate Prediction.
Seasonal outlook of the East Asian Summer in 2015 Motoaki Takekawa Tokyo Climate Center Japan Meteorological Agency May th FOCRAII 1.
Intensification of Summer Rainfall Variability in the Southeastern United States in Recent Decades Hui Wang 1,2, Wenhong Li 1, and Rong Fu 1,3 1 Georgia.
Climate Predictability Tool (CPT) Ousmane Ndiaye and Simon J. Mason International Research Institute for Climate and Society The Earth.
Challenges in Prediction of Summer Monsoon Rainfall: Inadequacy of the Tier-2 Strategy Bin Wang Department of Meteorology and International Pacific Research.
Assessing Predictability of Seasonal Precipitation for May-June-July in Kazakhstan Tony Barnston, IRI, New York, US.
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology Red - ECMWF Green - Sintex Navy - POAMA-2.0.
A Recent Abrupt Decline in the East African Long Rains Bradfield Lyon and David G. DeWitt Presented by: Tufa Dinku International.
Model validation Simon Mason Seasonal Forecasting Using the Climate Predictability Tool Bangkok, Thailand, 12 – 16 January 2015.
Young-Kwon Lim, D.W. Shin, S. Cocke, T. E. LaRow, J. J. O’Brien, and E. P. Chassignet Center for Ocean-Atmospheric Prediction Studies, Florida State University,
Manu Chandran. Outline Background and motivation Over view of techniques Cross validation Bootstrap method Setting up the problem Comparing AIC,BIC,Crossvalidation,Bootstrap.
Cooperative Research Programs (CoRP) Satellite Climate Studies Branch (SCSB) 1 1 Reconstruction of Near-Global Precipitation Variations Thomas Smith 1.
1 Climate Test Bed Seminar Series 24 June 2009 Bias Correction & Forecast Skill of NCEP GFS Ensemble Week 1 & Week 2 Precipitation & Soil Moisture Forecasts.
Climate Predictability Tool (CPT) Ousmane Ndiaye and Simon J. Mason International Research Institute for Climate and Society The Earth.
Linear Regression Simon Mason Seasonal Forecasting Using the Climate Predictability Tool Bangkok, Thailand, 12 – 16 January 2015.
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology Verification and Metrics (CAWCR)
Pang-Ning Tan Associate Professor Dept of Computer Science & Engineering Michigan State University
The 2 nd phase of the Global Land-Atmosphere Coupling Experiment Presented by: Bart van den Hurk (KNMI) Direct questions to Randal Koster, GMAO,
Tropical Cyclogenesis in the Subtropics Andy Hulme AOS 575 May 9.
Caio A. S. Coelho Centro de Previsão de Tempo e Estudos Climáticos (CPTEC) Instituto Nacional de Pesquisas Espaciais (INPE) 10 th International.
CariCOF Probabilistic Rainfall Outlook February-March-April 2015 and May-June-July 2015 CIMH Coordination – Dr. Cédric J. Van Meerbeeck NMHS’s acknowledged.
1/39 Seasonal Prediction of Asian Monsoon: Predictability Issues and Limitations Arun Kumar Climate Prediction Center
1 Autocorrelation in Time Series data KNN Ch. 12 (pp )
Improved Historical Reconstructions of SST and Marine Precipitation Variations Thomas M. Smith1 Richard W. Reynolds2 Phillip A. Arkin3 Viva Banzon2 1.
Survey of Data Related to Municipal Water Systems in Utah
Coordination – Dr. Cédric J. Van Meerbeeck
Teleconnections in MINERVA experiments
Coordination – Dr. Cédric J. Van Meerbeeck
CNU-KOPRI-KMA activities for winter climate prediction
Hervé Douville Météo-France CNRM/GMGEC/VDR
Makarand A. Kulkarni Indian Institute of Technology, Delhi
Coordination – Dr. Cédric J. Van Meerbeeck
GPC CPTEC: Seasonal forecast activities update
With special thanks to Prof. V. Moron (U
Chapter 1: THE NATURE OF REGRESSION ANALYSIS
Shuhua Li and Andrew W. Robertson
Leave-one-out cross-validation
6 steps to know and understand
Constructing and Validating the statistical regression model
6 steps to know and understand
مادة الدرس : مقدمة في علم الإحصاء
6 steps to know and understand
Predictability of Indian monsoon rainfall variability
Multiple Decision Trees ISQS7342
Cross-validation for the selection of statistical models
(WCRP Seasonal Prediction Workshop) Applied Meteorology Group
Fig. 1 The temporal correlation coefficient (TCC) skill for one-month lead DJF prediction of 2m air temperature obtained from 13 coupled models and.
Additional notes on random variables
Additional notes on random variables
A schematic overview of the analysis stream underlying the treatment of computational psychiatry in this article. A schematic overview of the analysis.
Does Height affect Shoe Size?
Forecast Verification
Econometrics Analysis
Fig. 3. H3N2 incidence forecasts based on the cluster model for the Unites States. H3N2 incidence forecasts based on the cluster model for the Unites States.
6 steps to know and understand
Verification of forecasts against analysis - some problems
Presentation transcript:

Predictors Observed rainfall up to May. Predicted JJA rainfall forecast in May ECHAM 4.5 hindcast psst (1968-2001). Predictands Simulated wheat yield. JJASO rainfall. Cross-validation (34 years available) Select 30 years for training. 2 independent years for model selection. 2 independent years for skill estimate. 200 random selections.

Predictor: JJA precip forecast May 1 EOF Predictand: Shire wheat yield 1 EOF Cross-validated Anomaly correlation Time-series (no CV)

Predictor: JJA precip forecast May 1 EOF Predictand: Shire wheat yield 1 EOF Cross-validated Anomaly correlation Time-series (no CV)

Predictor: JJA precip forecast May 1 EOF Predictand: Shire rainfall 2 EOFs Cross-validated Anomaly correlation Time-series (no CV)