weather station data quality and interpolation issues in modeling joe russo international workshop...
TRANSCRIPT
Weather Station Data Quality and Interpolation Issues in Modeling
Joe Russo
International Workshop on Plant Epidemiology Surveillance for the Pest Forecasting
Postgraduate Unit of the Autonomous University of San Luis PotosiSan Luis Potosi, Mexico
May 22, 2008
Data as the Basis for Modeling Activity
Data
Models
Integration
Interpretation
Dissemination
Weather Data Sources
• Standard or Point Observations
• Remote Sensing
• Grid
• Archive
• Standard or Point Observations
• Remote Sensing
• Grid
• Archive
Weather Data Sources Standard or Point Observations
• Synoptic Weather Observations– Primary Use is Meteorology– Reporting Interval Generally 3 or 6
Hours– Variation in Regional Reporting
Practices
• Metar Weather Observations– Primary Use is Aviation– Reporting Interval Generally One
Hour– Precipitation Amounts for U.S. Only
• Other Government Networks
• Private Networks
Weather Data Sources
Weather Data Sources
South America Synoptic Reports 12:00Z
Weather Data Sources
Weather Data Sources
South America Metar Reports 12:00Z
Weather Data Sources Remote Sensing
• Radar
• Satellite
• Other (not operational)
Weather Data SourcesNexRad Precipitation Estimates
Weather Data SourcesNexRad Precipitation Estimates
Weather Data SourcesSatellite Precipitation Estimates
Weather Data Sources Grid
• Radar
• Satellite
• Other (not operational)
Weather Data SourcesGlobal Forecast System Analysis (Model)
Weather Data SourcesGrid Versus Station Points
• Historical Records– 100 years of monthly observations
– 100 years of daily observations
– 100 years of hourly observations for select locations
– Temperature, precipitation, dewpoint, wind speed, wind direction, cloud cover …
– 3-4 years NEXRAD online / 8 years available
• Source Types
Weather Data Sources Archive
NARRGSOD/NCDCSODCSODISH
Global Reanalysis
IPCCGHCNNCDCUCAR
Weather Data Processing
• Quality Assurance
• Quality Control
• Professional Inspection
• Replacement of Data
• Quality Assurance
• Quality Control
• Professional Inspection
• Replacement of Data
• Pass or Fail
• Multiple Tests– Plausibility– Climate– Spatial Near-Neighbor– Temporal Inconsistency
Weather Data ProcessingQuality Control
StatisticalCombination
Climate - Compares observations to the envelope of climate
Weather Data ProcessingQuality Control
Spatial Near-Neighbor - Compares observations to surrounding stations
Weather Data ProcessingQuality Control
Weather Data ProcessingQuality Control
Spatial Near-Neighbor - Compares observations to surrounding stations
Temporal Inconsistency – Lack of variability relative to history
Weather Data ProcessingQuality Control
Temporal Anomaly – Suspicious extreme value relative to history
Weather Data ProcessingProfessional Inspection
Weather Data Processing Replacement of Data
• Consensus of quality control tests to determine erroneous datum
• Analytic methods are used to correct erroneous datum
– Interpolation– Correlation– Model correction– Climatology
• Statistical combination to compute most-likely value
Local Models and/or Interpretation
Mesoscale Models and/or Integration of Surface Features
Mesoscale/Large –Scale Models
Weather ModelingQuestion of Scale
Interpolated Grid Values Using Station Data
Copyright (c) 2008 ZedX, Inc.
Interpolated Grid Values Using Station Data
Copyright (c) 2008 ZedX, Inc.
Interpolated Grid Values Using Station Data
Copyright (c) 2008 ZedX, Inc.
Interpolated Grid Values Using Station Data
Copyright (c) 2008 ZedX, Inc.
Interpolated Grid Values Using Station Data
Thank You!
Questions?