An Assessment of Quantitative Uncertainty Visualization Methods for Interpolated Meteorological Data

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F13%3A33145359" target="_blank" >RIV/61989592:15310/13:33145359 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-642-39649-6_12" target="_blank" >http://dx.doi.org/10.1007/978-3-642-39649-6_12</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-642-39649-6_12" target="_blank" >10.1007/978-3-642-39649-6_12</a>

Jazyk výsledku

angličtina

Název v původním jazyce

An Assessment of Quantitative Uncertainty Visualization Methods for Interpolated Meteorological Data

Popis výsledku v původním jazyce

Climatological data are mostly based on data captured by the local climatological stations. It is necessary to interpolate stations' data to get the information about conditions for entire country. Types of interpolation method and their visualization do affect the perception of final results. Moreover, the data sources and models have uncertainties associated with them. It is generally important to be able to visualize those uncertainties, and especially to be able to quickly focus on areas where there is considerable disagreement. The follow-up interpretation of visualized uncertainty can be very helpful in some cases. Czech Hydrometeorological Institute provides a lot of datasets from more than 250 stations. The article is focused on potential effective ways of the interpolation and visualization of uncertainty of the temperature time-series datasets which are also one of the most traditionally measured data. A final comparing of the interpolation and interpretation are based on the uncertainty visualization which are relatively new approaches used in the geographical research but their potential has been already proven by wide usage in GIS analysis. The evaluation of interpolation methods as well as geographic data orderliness according to the uncertainty visualization is accomplished and discussed in the paper. Subsequent visualization of analysed phenomenon using this approach brings augmented and more accurate (geo) information to the user, which helps to better decision.

Název v anglickém jazyce

An Assessment of Quantitative Uncertainty Visualization Methods for Interpolated Meteorological Data

Popis výsledku anglicky

Climatological data are mostly based on data captured by the local climatological stations. It is necessary to interpolate stations' data to get the information about conditions for entire country. Types of interpolation method and their visualization do affect the perception of final results. Moreover, the data sources and models have uncertainties associated with them. It is generally important to be able to visualize those uncertainties, and especially to be able to quickly focus on areas where there is considerable disagreement. The follow-up interpretation of visualized uncertainty can be very helpful in some cases. Czech Hydrometeorological Institute provides a lot of datasets from more than 250 stations. The article is focused on potential effective ways of the interpolation and visualization of uncertainty of the temperature time-series datasets which are also one of the most traditionally measured data. A final comparing of the interpolation and interpretation are based on the uncertainty visualization which are relatively new approaches used in the geographical research but their potential has been already proven by wide usage in GIS analysis. The evaluation of interpolation methods as well as geographic data orderliness according to the uncertainty visualization is accomplished and discussed in the paper. Subsequent visualization of analysed phenomenon using this approach brings augmented and more accurate (geo) information to the user, which helps to better decision.

Druh

D - Stať ve sborníku

CEP obor

DE - Zemský magnetismus, geodesie, geografie

OECD FORD obor

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Projekt

<a href="/cs/project/EE2.3.20.0166" target="_blank" >EE2.3.20.0166: Centrum teorie vzdělávání přírodovědných oborů</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2013

Kód důvěrnosti údajů

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

Název statě ve sborníku

13th International Conference, Ho Chi Minh City, Vietnam, June 24-27, 2013, Proceedings, Part IV

ISBN

978-3-642-39648-9

ISSN

0302-9743

e-ISSN

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Počet stran výsledku

18

Strana od-do

166-178

Název nakladatele

Springer

Místo vydání

Heidelberg

Místo konání akce

Ho Chi Minh City, Vietnam

Datum konání akce

24. 7. 2013

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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