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PyCoSMoS: An advanced toolbox for simulating real-world hydroclimatic data

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F24%3A100711" target="_blank" >RIV/60460709:41330/24:100711 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1016/j.envsoft.2024.106076" target="_blank" >https://doi.org/10.1016/j.envsoft.2024.106076</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.envsoft.2024.106076" target="_blank" >10.1016/j.envsoft.2024.106076</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    PyCoSMoS: An advanced toolbox for simulating real-world hydroclimatic data

  • Original language description

    Simulation models are a fundamental tool for investigating hydrological processes and for water resource management. In this study, we introduce PyCoSMoS, a Python toolbox that enables researchers to simulate observed univariate time series mimicking hydroclimatic processes. This toolbox preserves arbitrary marginal distribution and autocorrelation functions, while significantly reducing computational burden. PyCoSMoS is built upon the mixed -Uniform CoSMoS method recently proposed by Papalexiou et al. (2023). The toolbox is designed to minimize the user's input, requiring only observed time series, marginal distribution, correlation function, and the number of lags. The output provides both visual and quantitative comparisons between the observed and simulated time series. We evaluate the performance of the package using various synthetic case studies and the results demonstrate satisfactory accuracy. Furthermore, we apply the toolbox to three real case studies: precipitation, temperature, and relative humidity, for which the toolbox can successfully simulate the observed time series in each case.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10510 - Climatic research

Result continuities

  • Project

    <a href="/en/project/GM22-33266M" target="_blank" >GM22-33266M: Investigation of the Terrestrial HydrologicAl Cycle Acceleration (ITHACA)</a><br>

  • Continuities

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

Others

  • Publication year

    2024

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Environmental Modelling & Software

  • ISSN

    1364-8152

  • e-ISSN

    1364-8152

  • Volume of the periodical

    2024

  • Issue of the periodical within the volume

    178

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    14

  • Pages from-to

    1-14

  • UT code for WoS article

    001247709400001

  • EID of the result in the Scopus database

    2-s2.0-85194478705