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Data Processing of Air Temperature and Precipitation Series in Ghana

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3A10478051" target="_blank" >RIV/00216208:11320/23:10478051 - isvavai.cz</a>

  • Result on the web

    <a href="https://physics.mff.cuni.cz/wds/proc/pdf23/WDS23_17_f8_Yamoah.pdf" target="_blank" >https://physics.mff.cuni.cz/wds/proc/pdf23/WDS23_17_f8_Yamoah.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Data Processing of Air Temperature and Precipitation Series in Ghana

  • Original language description

    The basis of climatology is the availability of reliable observation data.With recent climatic changes, one must uphold the relevance of quality control andhomogenization prior to any data analysis since these results are used to evaluate theimpact of climate change on various socio-economic sectors to implement adaptationmeasures accordingly. This study presents a step-by-step guide for processing dailyprecipitation and air temperature data in Ghana using multiple statistical tests andreference series which is suitable for areas with sparse observations and lot ofmissing data. Initial datasets contained missing values ranging from 0-13 % forprecipitation, 1-13 % for minimum temperature and 1-14 % for maximumtemperature. The number of outliers ranged from 0-15 for minimum temperatureand 0-22 for maximum temperature with no outliers detected for precipitation.Inhomogeneities detected were 2 and 9 for maximum and minimum temperaturerespectively and precipitation datasets were homogeneous. Data recovered after gapfilling ranged from 97-100 % for precipitation, 99-100 % for maximum temperatureand 72-100 % for minimum temperature. The results indicate that datasets recordedfrom manual weather stations are quality controlled before made publicly available.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10509 - Meteorology and atmospheric sciences

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    WDS&apos;23 Proceedings of Contributed Papers - Physics

  • ISBN

    978-80-7378-503-1

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    135-141

  • Publisher name

    Matfyzpress

  • Place of publication

    Praha

  • Event location

    Praha

  • Event date

    May 30, 2023

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article