radar rainfall calibration webinar - water...
TRANSCRIPT
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Radar Rainfall Calibration Webinar
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Dr Alan Seed
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Alan Seed, Mark Curtis
Rainfields3
The next generation radar rainfall estimation and nowcasting system
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Radar network
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Radar and gauge coverage in real-time
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Rainfields
Rainfields QC/QPE/QPF
50 radars
1700 rain gauges
10 000 products per hour
NWP wet bulb freezing levels
Forecasters
Public weather
Hydrology
NWP assimilation
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Rainfields algorithms Climatology Quality Control QPE
Beam blocking
Probability of echo
Topography
Velocity QC
Target identification
Reflectivity QC Bias correction
Gauge blending
Accumulations
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Products
• Quality controlled volume scans (QC added to the
volume scan data)
• Surface radar reflectivity for single and multi-radar
domains
• Instantaneous rain rate (used for accumulations and
nowcasts)
• Rainfall accumulations (6 min to 24 h)
• Ensemble forecasts
• 0-12 h, 10 min update over 500 km domains for
Melbourne, Sydney, Brisbane
• 0-90 min, 6 min update, over 50 radar domains
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Key requirements • Flexible
– Heterogeneous radar network
– Diverse and customizable product suite
• Scalable
– Up to full network and product suite
– Down to small research deployments
• Low latency
– Near real-time display for forecasters
– Data assimilation into NWP
• Accessible
– Searchable archive for research
– Standardized product formats
Real-time product dashboard
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Configurable QC for each radar
Query portal Read
volume Speckle filter
Dealias
VRAD
Classify
targets
Threshold
DHZH
Generate
VAD Write VAD Publish VAD Write volume ...
C++ implementation
XML configuration
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Bayes Target Classification
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Doppler moment dealiasing • Various window and sweep approaches
• 4D Dealiasing approach compares aliased velocity with prior scan
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Echo tracking • Used to simulate 1-minute data when calculating the 6-min accumulations
• Used to correct the different time stamps when making the mosaic
• Used for the nowcasting products
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Dynamic radar quality index
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Dynamic bias adjustment • Mean bias at each gauge is monitored
• Real-time adjustment updated using Kalman filter every 30 mins
• Spatial field estimated using Ordinary Kriging every 30 mins
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Verification
• 30min gauge versus 30min
radar
• Based on bias corrected
accumulations
– Not gauge merged
• 4 window lengths
– 7, 30, 120 and 365 day
• Updated daily
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Mean Error Time Series
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Multi-radar mosaic • Use the quality index to calculate the weights for a mosaic product
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Typical products
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Rainfields3 Summary • Rainfields3 is the next generation operational radar rainfall estimation and
nowcasting system
– Will be fully operational by July 2017
– Processes data from 50 radars
– Uses the STEPS algorithms to generate 30-member nowcast ensemble for
each of the 50 radars (6 min updates)
– Generates 10000 QPE&QPF products an hour
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Thank you
Any questions
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What is the problem…..
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Calibrated RADAR Rainfall Data – A Comparison with Traditional Techniques
Greg Hansell
Water Technology Pty Ltd
Presented at 21st Queensland Water Symposium, 2016
Further contributors include Alister Daly, Andrew Thompson, Blair Filer and Chris Delany
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• How does Calibrated RADAR compare to traditional techniques for the January 2011 event:
• Stanley River
• Lockyer Valley
• Murphy’s Creek
• Implications for catchment hydrology
Mt Stapylton RADAR ImageJan 2011 (Source – BoM)
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Background
• Thesis project underway by Chris Delany
• Total catchment ~3,000km2 in area
• ~370km2 Murphy’s Creek
• 38 Council rain gauges
• Only 1 in Murphy’s Creek
• ~2-3 day event duration
Analysis
• Fresh TUFLOW build
• Rain on Grid (Inverse Distance Weighting)
with traditional gauge and RADAR input
• Work in progress, however preliminary results
look promising…
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Lockyer Valley Case Study Spatial Comparison
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Murphy’s Creek: Spatial Comparison
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Murphy’s Creek: Hydraulic Model Comparison
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Conclusions – Calibrated RADAR Rainfall data
• RADAR - New and innovative approach
• RADAR compares well to traditional catchment hydrology approaches where gauge data is available
• RADAR may provide enhanced results where gauge data is limited/poor
• Effectively turns every 1km2 grid into a “rain gauge”
• Provides complete rainfall catchment coverage (versus rain gauges only)
• Can be enhanced: -
• With inclusion of other rain gauges (HydroNET can do this);
• Optimum calibration outcome
=> Further source of information=> Can add value to hydrologic assessments
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What is RainMap?• Easy online access to:
– BoM weather forecasts
– BoM weather stations
– BoM radar data
• Tools to enable water professionals– Export to model input files
– Upload shape files for catchment averages
– Generate rainfall reports
– Download long time series
– Access to data back to 1900
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How widely is the HydroNet Platform Used?
• 2500 water managers world wide use the radar tools of HydroNET
• These tools are now tailored for the Australian situation during the ESA project in cooperation with 10+ Queensland councils.
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What do HydroNet offers……
• We buy the radar data from BoM,
• archive it in the cloud and
• translate it into tools for water managers so that they can easily use radar data for operational and strategic water management: whenever and wherever.
• You just need a web browser.
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Upcoming seminars
• The same can be done with forecasts…
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More informationwww.hydronet.com.auwww.watertech.com.au
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Examples of tools that RainMap provides
• exports into platform agnostic (Tuflow, Mike etc) models for model calibration,
• export to Word document to evaluate rainfall events,
• upload your own catchments to calculate catchment averages, download time series in excel or model formats,
• automatic exports to your databases/systems,
• export to your website to share with the community, we archive it for you
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RainMapApplication
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RainMapApplication
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RainMapApplication
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RainMapApplication
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RainMapApplication