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Random Fields Simplified: Preserving Marginal Distributions, Correlations, and Intermittency, With Applications From Rainfall to Humidity

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F20%3A82288" target="_blank" >RIV/60460709:41330/20:82288 - isvavai.cz</a>

  • Result on the web

    <a href="https://agupubs.onlinelibrary.wiley.com/doi/epdf/10.1029/2019WR026331" target="_blank" >https://agupubs.onlinelibrary.wiley.com/doi/epdf/10.1029/2019WR026331</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1029/2019WR026331" target="_blank" >10.1029/2019WR026331</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Random Fields Simplified: Preserving Marginal Distributions, Correlations, and Intermittency, With Applications From Rainfall to Humidity

  • Original language description

    Nature manifests itself in space and time. The spatiotemporal complexity of processes such as precipitation, temperature, and wind, does not allow purely deterministic modeling. Spatiotemporal random fields have a long history in modeling such processes, and yet a single unified framework offering the flexibility to simulate processes that may differ profoundly does not exist. Here we introduce a blueprint to efficiently simulate spatiotemporal random fields that preserve any marginal distribution, any valid spatiotemporal correlation structure, and intermittency. We suggest a set of parsimonious yet flexible marginal distributions and provide a rule of thumb for their selection. We propose a new and unified approach to construct flexible spatiotemporal correlation structures by combining copulas and survival functions. The versatility of our framework is demonstrated by simulating conceptual cases of intermittent precipitation, double-bounded relative humidity, and temperature maxima fields. As a re

  • 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

    2020

  • 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

    1944-7973

  • Volume of the periodical

    56

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    27

  • Pages from-to

    1-27

  • UT code for WoS article

    000535672800021

  • EID of the result in the Scopus database

    2-s2.0-85081022858