Data Processing of Air Temperature and Precipitation Series in Ghana

Kód výsledku v 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>

Výsledek na webu

<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

—

Jazyk výsledku

angličtina

Název v původním jazyce

Data Processing of Air Temperature and Precipitation Series in Ghana

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Data Processing of Air Temperature and Precipitation Series in Ghana

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10509 - Meteorology and atmospheric sciences

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název statě ve sborníku

WDS&apos;23 Proceedings of Contributed Papers - Physics

ISBN

978-80-7378-503-1

ISSN

—

e-ISSN

—

Počet stran výsledku

7

Strana od-do

135-141

Název nakladatele

Matfyzpress

Místo vydání

Praha

Místo konání akce

Praha

Datum konání akce

30. 5. 2023

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

—