The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology Characterizing Radar Raingauge Errors.

Slides:

Advertisements

Similar presentations

Nowcasting and Short Range NWP at the Australian Bureau of Meteorology

Advertisements

The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology Alan Seed Centre for Australian Weather.

The Radar Quality Control and Quantitative Precipitation Estimation Intercomparison Project RQQI (pronounced Rickey) Paul Joe and Alan Seed Environment.

Multiple Sensor Precipitation Estimation over Complex Terrain AGENDA I. Paperwork A. Committee member signatures B. Advisory conference requirements II.

Page 1 Operational use of dual- polarisation: lessons learned at Météo France after 8 years of experience at all wavelengths (S / C / X) P. Tabary Météo.

Feasibility of data assimilation using documented weather record for reconstruction of historical climate Kei Yoshimura and Kinya Toride AORI, Univ Tokyo.

21 September th Southwest Hydrometeorology Symposium, Tucson, AZ Future QPE: Dual-Pol and Gap-Filler Radars Kevin Scharfenberg University of Oklahoma/CIMMS.

National Weather Association 31 st Annual Meeting 18 October 2006 Cleveland, Ohio Kevin Scharfenberg University of Oklahoma Cooperative Institute for Mesoscale.

1 00/XXXX © Crown copyright Use of radar data in modelling at the Met Office (UK) Bruce Macpherson Mesoscale Assimilation, NWP Met Office EWGLAM / COST-717.

CO2 (ppm) Thousands of years ago Carbon dioxide concentrations over the last.

Gridded OCF Probabilistic Forecasting For Australia For more information please contact © Commonwealth of Australia 2011 Shaun Cooper.

Radar-Derived Rainfall Estimation Presented by D.-J. Seo 1 Hydrologic Science and Modeling Branch Hydrology Laboratory National Weather Service Presented.

State space model of precipitation rate (Tamre Cardoso, PhD UW 2004) Updating wave height forecasts using satellite data (Anders Malmberg, PhD U. Lund.

Validation of the Ensemble Tropical Rainfall Potential (eTRaP) for Landfalling Tropical Cyclones Elizabeth E. Ebert Centre for Australian Weather and Climate.

The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology Synergy of altimetry with other data and.

The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology The Effect of Turbulence on Cloud Microstructure,

Contrasting Tropical Rainfall Regimes Using TRMM and Ground-Based Polarimetric Radar by S. A. Rutledge, R. Cifelli, T. Lang and S. W. Nesbitt EGU 2009.

Verification of Numerical Weather Prediction systems employed by the Australian Bureau of Meteorology over East Antarctica during the summer season.

WHAT IS Z?  Radar reflectivity (dBZ)  Microwave energy reflects off objects (e.g. hydrometeors) and the return is reflectivity WHAT IS R?  Rainfall.

Consortium Meeting June 3, Thanks Mike! Hit Rates.

Chapter 13 – Weather Analysis and Forecasting. The National Weather Service The National Weather Service (NWS) is responsible for forecasts several times.

Paul Holper, CSIRO Marine & Atmospheric Research, Australia Neil Plummer, Bureau of Meteorology, Australia ACRE Workshop, Zurich, June 2008 CAWCR web portal.

September 2005WSN05, Toulouse, France Applications of the McGill Algorithm for Precipitation Nowcasing Using Semi- Lagrangian Extrapolation (MAPLE) within.

March 14, 2006Intl FFF Workshop, Costa Rica Weather Decision Technologies, Inc. Hydro-Meteorological Decision Support System Bill Conway, Vice President.

49 COMET Hydrometeorology 00-1 Matt Kelsch Tuesday, 19 October 1999 Radar-Derived Precipitation Part 3 I.Radar Representation of.

THE NEW FRENCH OPERATIONAL CONVENTIONAL RADAR PRODUCTS Pierre Tabary Centre de Météorologie Radar, Direction des Systèmes d’Observation, Météo France

The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology Oscar Alves, Li Shi, Yonghong Yin, Robin.

Swedish Meteorological and Hydrological Institute SE Norrköping, SWEDEN COMPARISON OF AREAL PRECIPITATION ESTIMATES: A CASE STUDY FOR A CENTRAL.

Intraseasonal TC prediction in the southern hemisphere Matthew Wheeler and John McBride Centre for Australia Weather and Climate Research A partnership.

CARPE-DIEM 13/6/02, slide 1German Aerospace Center Microwaves and Radar Institute CARPE-DIEM Besprechung Helsinki, June 2004 Ewan.

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.

GAUGES – RADAR – SATELLITE COMBINATION Prof. Eng. Ezio TODINI

Julie Haggerty National Center for Atmospheric Research Friends and Partners of Aviation Weather October July 2014.

The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology Radar fire observations and nowcasting.

The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology Southern Ocean cloud biases in ACCESS.

The new DWD polarimetric weather radar network: a new radar data processing framework and new products Michael Frech 1, Nils Rathmann 2, Jörg Steinert.

Validation of model clouds using synthetic brightness temperature model and satellite images Zhian Sun 1, Lawrie Rikus 1, Charmaine Franklin 1, Luo San.

“24 hours in the life of a weather radar network”.

EVALUATION OF THE RADAR PRECIPITATION MEASUREMENT ACCURACY USING RAIN GAUGE DATA Aurel Apostu Mariana Bogdan Coralia Dreve Silvia Radulescu.

The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology Verification and Metrics (CAWCR)

Unit 2: Information Systems OCR Level 3 Cambridge Technicals in IT.

Observed & Simulated Profiles of Cloud Occurrence by Atmospheric State A Comparison of Observed Profiles of Cloud Occurrence with Multiscale Modeling Framework.

Alexander Ryzhkov Weather Radar Research Meteorological Applications of Dual-polarization Radar.

R. Ty Jones Director of Institutional Research Columbia Basin College PNAIRP Annual Conference Portland, Oregon November 7, 2012 R. Ty Jones Director of.

Infilling Radar CAPPIs

The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology Sub-Seasonal Prediction Activities and.

The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology Oscar Alves, Maggie Zhao, Robin Wedd,

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

INSTITUTE OF METEOROLOGY AND WATER MANAGEMENT Hydrological applications of COSMO model Andrzej Mazur Institute of Meteorology and Water Management Centre.

© Vipin Kumar IIT Mumbai Case Study 2: Dipoles Teleconnections are recurring long distance patterns of climate anomalies. Typically, teleconnections.

Intraseasonal and interannual variability of rainfall over Bangladesh during the summer Fujinami, H. 1, D. Hatsuzuka 2, T. Yasunari 1 and T. Hayashi 3.

JMA Japan Meteorological Agency QPE/QPF of JMA Application of Radar Data Masashi KUNITSUGU Head, National Typhoon Center Japan Meteorological Agency TYPHOON.

Sarah Callaghan British Atmospheric Data Centre, UK, The effects of climate change on rain The consensus in the climate change.

The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology Southern Ocean Clouds Characterization.

Regression Analysis: A statistical procedure used to find relations among a set of variables B. Klinkenberg G

Estimating Rainfall in Arizona - A Brief Overview of the WSR-88D Precipitation Processing Subsystem Jonathan J. Gourley National Severe Storms Laboratory.

Downscaling and Why Local Predictions are Difficult to Make Preparing Your Coast.

Observations of Specific Differential Phase, KDP Chris Collier Acknowledgements: Lindsay Bennett, Alan Blyth and David Dufton.

Validation of Satellite Rainfall Estimates over the Mid-latitudes Chris Kidd University of Birmingham, UK.

Evaluation of a scheme representing cloud inhomogeneous structure in the Australian Community Climate and Earth System Simulator (ACCESS)

A dual-polarization QPE method based on the NCAR Particle ID algorithm Description and preliminary results Michael J. Dixon1, J. W. Wilson1, T. M. Weckwerth1,

Radar/Surface Quantitative Precipitation Estimation

Question 1 Given that the globe is warming, why does the DJF outlook favor below-average temperatures in the southeastern U. S.? Climate variability on.

OLYMPEx Precipitation

The November 2002 Pineapple Express:

Ocean Sub-Surface Observing Network

Validation of Satellite Precipitation Estimates using High-Resolution Surface Rainfall Observations in West Africa Paul A. Kucera and Andrew J. Newman.

High resolution NWP in Australia

Presentation transcript:

The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology Characterizing Radar Raingauge Errors for NWP Assimilation Sandy Dance 27/4/2012

The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology The Intention: radar rainfall variance Radar assimilation into NWP: this requires that rainfall data be accompanied by the variance value for that data. Adjust ZR relationship based on feedback from gauges: requires variance to control weights for Kalman filter. Variance gives weights when generating mosaic products.

The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology Rainfields, our QPE system Bayesian Clutter Partial Occultation Vertical Profile Convective/Stratiform ZR Real-time gauge adjustment

The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology Simulate gauge data from rainfields output

The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology The data we used in this study consisted of 2 years of rain over suitable radars in Australia (18), and about 1500 raingauges, resulting in about 380,000 non-zero record per year. Both networks are heterogeneous.

The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology Overall statistics of radar gauge errors Clearly logerrors (expressed as dB) is the correct measure for further studies.

The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology We wanted to predict what variance a given radar rainfall datum has given factors such as: altitude, terrain roughness, beam width, radar range, radar band and season (ie, convective vs stratiform rain). One non-radar factor that might influence radar / gauge error variance is gauge bucket size. Below we show results from looking at these factors.

The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology Mean and variance vs radar range Typical charts showing no clear pattern for the variance vs range, mean is low close in due to clutter suppression, and far out due to beam overshooting echo tops.

The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology Altitude and RMSE We expected increasing variance with altitude due to orographic enhancement, clutter suppression and beam blocking. However we found no significant trend overall.

The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology Terrain roughness Roughness was defined as the SD of altitude around a point. We included this for completeness. We expected to find increasing variance with roughness due to clutter suppression. Again no strong relationship was found.

Radar beam width vs band vs range vs season Hot season Cold season The only strong relationship found in the study was hot season S2 radar variance Increased with range. This was due to one older radar dominating the data.

The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology Conclusion Overall, we have not been able to find a complex relationship between the variance of logerror (radar/gauge) and various possible factors. One problem is that it takes 2000 datapoints for.95% confidence that we have the variance within 5% of the true value. As the figures show, it can take 3 years or more for this in our arid land. This can exceed the time between hardware or software changes in the raingauge and radar networks.

The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology It is possible that the variance may depend upon multiple variables in complex ways, but in general, adding a new factor roughly doubles the amount of data required to verify the relationship. Data we dont have.

The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology Sandy Dance Phone: Web: Thank you