Automated Operational Validation of Meteorological Observations in the Netherlands Wiel Wauben, KNMI, The Netherlands Introduction QA/QC chain Measurement.

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Presentation transcript:

Automated Operational Validation of Meteorological Observations in the Netherlands Wiel Wauben, KNMI, The Netherlands Introduction QA/QC chain Measurement system and users Status

Introduction Automated network for synop and climatological observations. Data near real-time available to internal and external users every 10-minutes. Observers at airports only for aeronautical reports, but 12 second wind and RVR data provided continuously. Automated network requires automated validation in real-time.

QC chain 6 months, technical & station Calibration period 8-24 months or problems, allowed range for deviation Instrument selection Procedures Range, jump persistency, basic inter- relation Inter- relations, temporal, spatial Off-line, daily Reporting vs sensor errors, Handling of quality information Real-time?

Data flow (MetNet)

Basic assumptions 24*7 considered usefull and reduces manual labour “No” delay in data flow QC does not change values Result of QC check in binary Q-flag Manual input (link to technical/environmental changes) Alarm Validation results should be embedded in QA/QC chain with suitable actions to eliminate causes

Follow up Overview current QC at various places Details of methodes and usefullness (number, importance) Optimal location of QC (OMWA, 10min) Q indicators traceable throughout data flow (sensor-interface  BUFR report) Follow up (e.g. single jump in temperature) User should use data AND quality (mask applied for the users Start with MetNet but keep general

Ceilometer (NI, QG and statistics)

Ceilometer statistics

Radar versus precipitation gauges Scatter plot Daily sums Dependent verification since bias is removed

VIMOLA vert. integr. LAM Quasi geostrofic P at msl 10m wind currently short term forcast using hourly data “any” resolution indicates suspect P values

Current valiation (daily, non-RT)

Outlook Make business case for basic 10-min near real-time validation Investigate other possibilities for temporal, spatial and interrelations in RTV QC at other NMI’s Start implementation of basic version Allow for extensions/generalisation