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Quality control and interpolation of meteorological variables Gregor Vertačnik

Quality control and interpolation of meteorological variables Gregor Vertačnik EARS, Department of Climatology. Overview. Monthly precipitation, climate and synoptic reports Digitalization Databases Quality control Daily precipitation q uality control and interpolation

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Quality control and interpolation of meteorological variables Gregor Vertačnik

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  1. Quality control and interpolation of meteorological variables Gregor Vertačnik EARS, Department of Climatology

  2. Overview • Monthly precipitation, climate and synoptic reports • Digitalization • Databases • Quality control • Daily precipitation quality control and interpolation • Solar irradiance quality control and interpolation

  3. Monthly precipitation, climate and synoptic reports • special forms for manual observations : • precipitation (one sheet) • climatological (A4 diary) • synoptic (large diary) • monthly reports are sent by surface mail to EARS at the beginning of new month DODAJ SLIKE VSEH TREH DNEVNIKOV

  4. Digitalization and data storage • manual entry of climatological data into database: • 13 synoptic station on daily basis • other stations on monthly basis • pluviograms and sunshine cards are digitazed by using “mouse clicking” method each month, other paper charts only if needed • SYNOP reports and data from automatic weather stations are automatically stored into database in near-real time DODAJ SLIKO DIGITALIZIRANJA Z MIŠKO IN MILANOVO KONTROLO NA EKRANU

  5. Databases • data from weather stations and dataloggers are stored in Oracle and PostgreSQL relational database • digitazed data from paper charts are stored in VMS text-file archive and PostgreSQL relational database • PostgreSQL relational database working on Linux server contains all meteorological data (including radar measurements) except satellite data • two types of tables: • input data with original values • quality controlled and interpolated data for clients SLIKA BAZE?

  6. Quality control • automatic half-hour data on daily basis, classical climatological data on mothly basis • very simple routine to check SYNOP data at the moment • automatic validation is done using programmes written in Fortran, Pascal (earlier versions) and PostgreSQL, Perl, PHP, other OpenSource tools (modern versions) • paper charts (thermograms, hgyrograms etc.) are mostly used to check manual measurements

  7. hard limits check (for impossible values, eg. T > 50 °C) • soft limits check (within local extremes) • inner consistency tests (eg. Tmin <= Tmax), spatial consistency tests • test if values are within time series, searching for big jumps, variability tests • test with redundant instruments (eg. thermograph) • all data get quality flags

  8. Daily precipitation data quality control and interpolation • manual Measurements of daily rainfall by Hellmann rain-gauge are both automatically and visually quality controlled • software for automatic validation is written in Perl and is running on Linux server • new, more complex and extended version of the software is in operational use since last year • precipitation data are checked with: • interpolated values using data from 10 “neighbouring” precipitation stations • automatic rain gauge data at the same station (if exists) • radar-measured rainfall data • spatial interpolation: • two results are given (one including all stations, other excluding up to two outliers) • inverse-square-distance method, normalized for monthly precipitation normals at the selected and neighbouring stations • software also returns a proposal on the basis of most common mistakes (missing digit, decimal point at wrong place etc.)

  9. Solar irradiance quality control and interpolation • half-hour averages of global, diffuse and UVB irradiance • automatic validation by software written in Perl and running on Linux server • structure of the software: • extraterrestrial solar irradiance calculation for each half an hour’s interval • correction of diffuse irradiance data for shade ring • correction of all data for systematic offset (calculated from nocturnal values) • global and diffuse irradiance are validated by extraterrestrial irradiance • intercomparison of global and diffuse irradiance • UVB irradiance is checked with global and extraterrestrial irradiance • interpolation of missing and false data in time / space / by sunshine recorder data • all values are flagged using 16-bit flag system

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