The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology Understanding and predicting the contrast.

Slides:



Advertisements
Similar presentations
Click to edit Master title style Timeseries of dynamical and precipitation indices Black: observations; RGB: ensemble members for each start date case.
Advertisements

VEGETATION FEEDBACK AND DROUGHTS Russell Bird – 3 rd Year Atmospheric Science.
© Crown copyright Met Office The Met Office high resolution seasonal prediction system Anca Brookshaw – Monthly to Decadal Variability and Prediction,
Summary of Progress with POAMA/ACCESS Seasonal Prediction System.
Climatology and Climate Change in Athena Simulations Project Athena Team ECMWF, June 7, 2010.
Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009 Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009.
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology Nonlinear Rainfall Response to El Nino.
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology Seasonal dynamical prediction of coral.
Climate Variability and Irrigation Water Use Joel O. Paz Extension Agrometeorologist Biological and Agricultural Engineering Department The University.
Excerpts of the AAAS Fiscal Year 2009 Appropriations Summary ( September 2008 summary: Congress has made little progress on the federal.
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology 3.1 Prediction skill in the Tropical Indian.
Climate variations in the Northwest, seasonal climate forecasting, and outlook for winter Nate Mantua Climate Impacts Group University of Washington.
Seamless precipitation prediction skill in a global model: Actual versus potential skill Matthew Wheeler 1, Hongyan Zhu 1, Adam Sobel 2, and Debra Hudson.
Impact of Sea Surface Temperature and Soil Moisture on Seasonal Rainfall Prediction over the Sahel Wassila M. Thiaw and Kingtse C. Mo Climate Prediction.
El Nino Southern Oscillation (ENSO)
Climate Modelling in Australia Michael Manton Bureau of Meteorology Research Centre APN Symposium, 23 March 2004.
Seasonal outlook of the East Asian Summer in 2015 Motoaki Takekawa Tokyo Climate Center Japan Meteorological Agency May th FOCRAII 1.
1 Assessment of the CFSv2 real-time seasonal forecasts for Wanqiu Wang, Mingyue Chen, and Arun Kumar CPC/NCEP/NOAA.
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology Oscar Alves, Yonghong Yin, Robin Wedd,
Caio A. S. Coelho Supervisors: D. B. Stephenson, F. J. Doblas-Reyes (*) Thanks to CAG, S. Pezzulli and M. Balmaseda.
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.
The speaker took this picture on 11 December, 2012 over the ocean near Japan. 2014/07/29 AOGS 11th Annual Meeting in Sapporo.
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology Oscar Alves, Li Shi, Yonghong Yin, Robin.
Using a novel coupled-model framework to reduce tropical rainfall biases Nicholas Klingaman Steve Woolnough, Linda Hirons National Centre for Atmospheric.
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology Oscar Alves CAWCR (Centre for Australian.
Challenges in Prediction of Summer Monsoon Rainfall: Inadequacy of the Tier-2 Strategy Bin Wang Department of Meteorology and International Pacific Research.
Christian Feliciano The Ohio State University Atmospheric Science.
NERC Centre for Global Atmospheric Modelling Department of Meteorology, University of Reading The role of the land surface in the climate and variability.
The La Niña Influence on Central Alabama Rainfall Patterns.
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology Summary/Future Re-anal.
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.
EUROBRISA Workshop – Beyond seasonal forecastingBarcelona, 14 December 2010 INSTITUT CATALÀ DE CIÈNCIES DEL CLIMA Beyond seasonal forecasting F. J. Doblas-Reyes,
CCA MADE EASY. The Science of Seasonal Climate Forecasting is all about connecting forcing and response. Once a forcing mechanism is identified the response.
El Nino Teleconnections Philip Kreycik EPS 131 4/30/04.
Improved ensemble-mean forecast skills of ENSO events by a zero-mean stochastic model-error model of an intermediate coupled model Jiang Zhu and Fei Zheng.
The role of the basic state in the ENSO-monsoon relationship and implications for predictability Andrew Turner, Pete Inness, Julia Slingo.
© Crown copyright Met Office Decadal predictions of the Atlantic ocean and hurricane numbers Doug Smith, Nick Dunstone, Rosie Eade, David Fereday, James.
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology Subseasonal prediction.
C20C Workshop, ICTP Trieste 2004 The impact of stratospheric ozone depletion and CO 2 on tropical cyclone behaviour in the Australian region Syktus J.
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology Coupled Breeding for Ensemble Multiweek.
Motivation Quantify the impact of interannual SST variability on the mean and the spread of Probability Density Function (PDF) of seasonal atmospheric.
Australian Climate: The Past 50 Years of Change Mr Bruce Stewart Assistant Director (Climate and Oceans)
Dynamical Prediction of Indian Monsoon Rainfall and the Role of Indian Ocean K. Krishna Kumar CIRES Visiting Fellow, University of Colorado, Boulder Dynamical.
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology Oscar Alves and the POAMA Team CAWCR (Centre.
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology Verification and Metrics (CAWCR)
Seasonal Prediction Research and Development at the Australian Bureau of Meteorology Guomin Wang With contributions from Harry Hendon, Oscar Alves, Eun-Pa.
Modes of variability and teleconnections: Part II Hai Lin Meteorological Research Division, Environment Canada Advanced School and Workshop on S2S ICTP,
Winter/Spring Outlook Derrick Weitlich National Weather Service Melbourne Central Florida Prescribed Fire Council Annual Meeting September 25,
Alex Jovich- Atmospheric Sciences The Perfect Ocean for Drought On the Cause of the 1930s Dust Bowl Martin Hoerling Science Vol Jan Siegfried.
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology Sub-Seasonal Prediction Activities and.
The CFS ensemble mean (heavy blue line) predicts La Nina will last through at least the Northern Hemisphere spring
Indo-Pacific Sea Surface Temperature Influences on Failed Consecutive Rainy Seasons over Eastern Africa** Andy Hoell 1 and Chris Funk 1,2 Contact:
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology Hanh Nguyen, Harry Hendon, Eun-Pa Lim,
1 An Assessment of the CFS real-time forecasts for Wanqiu Wang, Mingyue Chen, and Arun Kumar CPC/NCEP/NOAA.
1 An Assessment of the CFS real-time forecasts for Wanqiu Wang, Mingyue Chen, and Arun Kumar CPC/NCEP/NOAA.
Seasonal Outlook for 2010 Southwest Monsoon Rainfall D. S. Pai Director, Long Range Forecasting South Asian Climate Outlook Forum (SASCOF -1) April.
1 Summary of CFS ENSO Forecast December 2010 update Mingyue Chen, Wanqiu Wang and Arun Kumar Climate Prediction Center 1.Latest forecast of Nino3.4 index.
Roles of Madden-Julian Oscillation on ENSO Onset Wang Guomin ( 王國民 ) Centre for Australian Weather and Climate Research: A partnership between the Bureau.
ENSO Prediction Skill in the NCEP CFS Renguang Wu Center for Ocean-Land-Atmosphere Studies Coauthors: Ben P. Kirtman (RSMAS, University of Miami) Huug.
POAMA (Predictive Ocean Atmosphere Model for Australia)
Current State of the Pacific and Indian Oceans
JMA Seasonal Prediction of South Asian Climate for OND 2017
Climate and Global Dynamics Laboratory, NCAR
IRI Multi-model Probability Forecasts
Forecast Assimilation: A Unified Framework for the
A coupled ensemble data assimilation system for seasonal prediction
Eun-Pa Lim and Harry H. Hendon Science to Services
Interactions between the Responses of
Nonlinearity of atmospheric response
Harun Rashid Coupled Climate Modelling CSIRO Climate Science Centre
Presentation transcript:

The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology Understanding and predicting the contrast of Australian springtime rainfall of 1997 and 2002 Eunpa Lim & Harry Hendon Seasonal Prediction Science Team R&D Branch Bureau of Meteorology CAWCR 9 th Annual Workshop Oct 2015

El Nino La Nina All-Australia rainfall (mm/yr) vs the SOI for of the obs Occurrence of El Nino is associated with decrease of rainfall over eastern Australia (in spring) Magnitude of El Nino does not account for amount of the AUS rainfall decrease Power et al. (2006) J. Clim

Wang and Hendon (2007) J. Clim Strongest El Nino of the 20 th century AUS wasn’t as dry as expected Weak El Nino with its max. SST warming over the dateline Severe drought in the east

Regression of SSTs onto AUS mean spring rainfall positive

Strong positive IOD Strong negative SAM Was it really the tropical central Pacific SSTs that made the Australian spring rainfall response so different in 1997 and 2002? What were the roles of the land and atmosphere conditions in the rainfall anomalies of 1997 and 2002?

POAMA -Hindcasts for 1997 and 2002 Sep-Nov -Forecast sensitivity experiments an atmosphere-ocean coupled dynamical seasonal forecast system atmosphere and ocean component models are initialised with realistic conditions generated from the Bureau's state-of-the art data assimilation systems - Forecasts initialised on the 1 st of Sep 1997 and 2002, and verified in the following Sep-Oct-Nov season (i.e. lead time 0) - Ensemble mean of 10 member forecasts - Forecast anomalies computed against the hindcast monthly climatology over the period of  model’s systematic bias is not present in the forecasts

POAMA forecasts for 1997 and 2002 spring climate Obs POAMA SSTEOF1 SSTEOF2

The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology Sensitivity experiments to atm & land initial conditions POAMA (realistic atmosphere, land & ocean initial conditions of 1 Sep 1997 and 2002) POAMA but with climatological land initial conditions POAMA but with unrealistic atmosphere initial conditions (i.e. no realistic noise) It was the difference in the tropical Pacific SSTs that caused the basic difference between the 1997 and 2002 rainfall anomalies Realistic atmosphere conditions of 1 Sep 1997 & 2002 amplified the respective rainfall anomalies forced by El Ninos

Sensitivity experiments to air-sea interaction POAMA AMIP with POAMA SSTs Sensitivity to air-sea interaction Air-sea coupling amplified the dry response in 2002 while it didn't make any significant difference in 1997

POAMA Atmosphere forced by POAMA SSTs SAM is not well predicted  local circulation/AUS drought not well predicted Air-sea coupling is important for the skilful prediction of spring season SAM and Australian rainfall ! Rainfall MSLP

Summary 1997 spring wasn’t as dry as expected because the maximum SST warming of the 1997 El Nino was far shifted to the east Atmospheric noise amplified the wet conditions 2002 spring was dry because the maximum SST warming of this El Nino was shifted to the west Atmospheric noise amplified the dry conditions -ve SAM intensified the dry conditions Air-sea coupling was important to the skilful forecast of –ve SAM and associated dry conditions Good representation of air-sea interaction is important for skilful forecasts for extratropical circulations and associated Australian climate Lim and Hendon 2015 J. Climate, 28,

The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology Statistical analysis – multiple linear regression OBS SSTPC1, SSTPC2, IOD & SAM No SSTPC1 No SSTPC2 No IOD No SAM Suppressed warming of tropical central Pacific SSTs captured by –ve SSTPC2 was critical to the near normal rainfall in 1997 SAM and SSTPC2 were important to the intense dry condition in the east in 2002