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Precise temporal Disaggregation Preserving Marginals and Correlations (DiPMaC) for stationary and nonstationary processes

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F18%3A77617" target="_blank" >RIV/60460709:41330/18:77617 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1029/2018WR022726" target="_blank" >http://dx.doi.org/10.1029/2018WR022726</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1029/2018WR022726" target="_blank" >10.1029/2018WR022726</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Precise temporal Disaggregation Preserving Marginals and Correlations (DiPMaC) for stationary and nonstationary processes

  • Original language description

    Hydroclimatic variables such as precipitation and temperature are often measured or simulated by climate models at coarser spatiotemporal scales than those needed for operational purposes. This has motivated more than half a century of research in developing disaggregation methods that break down coarse-scale time series into finer scales, with two primary objectives: (a) reproducing the statistical properties of the fine-scale process and (b) preserving the original coarse-scale data. Existing methods either preserve a limited number of statistical moments at the fine scale, which is often insufficient and can lead to an unrepresentative approximation of the actual marginal distribution, or are based on a limited number of a priori distributional assumptions, for example, lognormal. Additionally, they are not able to account for potential nonstationarity in the underlying fine-scale process. Here we introduce a novel disaggregation method, named Disaggregation Preserving Marginals and Correlations (

  • 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

    10501 - Hydrology

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    WATER RESOURCES RESEARCH

  • ISSN

    0043-1397

  • e-ISSN

  • Volume of the periodical

    54

  • Issue of the periodical within the volume

    10

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    24

  • Pages from-to

    7435-7458

  • UT code for WoS article

    000450726000019

  • EID of the result in the Scopus database

    2-s2.0-85053668767