Advancing Space Time Simulation of Random Fields: From Storms to Cyclones and Beyond

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F21%3A86950" target="_blank" >RIV/60460709:41330/21:86950 - isvavai.cz</a>

Výsledek na webu

<a href="https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2020WR029466" target="_blank" >https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2020WR029466</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1029/2020WR029466" target="_blank" >10.1029/2020WR029466</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Advancing Space Time Simulation of Random Fields: From Storms to Cyclones and Beyond

Popis výsledku v původním jazyce

Realistic stochastic simulation of hydro environmental fluxes in space and time, such as rainfall, is challenging yet of paramount importance to inform environmental risk analysis and decision making under uncertainty. Here, we advance random fields simulation by introducing the concepts of general velocity fields and general anisotropy transformations. This expands the capabilities of the so-called Complete Stochastic Modeling Solution (CoSMoS) framework enabling the simulation of random fields (RF s) preserving: (a) any non-Gaussian marginal distribution, (b) any spatiotemporal correlation structure (STCS), (c) general advection expressed by velocity fields with locally varying speed and direction, and (d) locally varying anisotropy. We also introduce new copula-based STCS s and provide conditions guaranteeing their positive definiteness. To illustrate the potential of CoSMoS, we simulate RF s with complex patterns and motion mimicking rainfall storms moving across an area, spiraling fields resembl

Název v anglickém jazyce

Advancing Space Time Simulation of Random Fields: From Storms to Cyclones and Beyond

Popis výsledku anglicky

Realistic stochastic simulation of hydro environmental fluxes in space and time, such as rainfall, is challenging yet of paramount importance to inform environmental risk analysis and decision making under uncertainty. Here, we advance random fields simulation by introducing the concepts of general velocity fields and general anisotropy transformations. This expands the capabilities of the so-called Complete Stochastic Modeling Solution (CoSMoS) framework enabling the simulation of random fields (RF s) preserving: (a) any non-Gaussian marginal distribution, (b) any spatiotemporal correlation structure (STCS), (c) general advection expressed by velocity fields with locally varying speed and direction, and (d) locally varying anisotropy. We also introduce new copula-based STCS s and provide conditions guaranteeing their positive definiteness. To illustrate the potential of CoSMoS, we simulate RF s with complex patterns and motion mimicking rainfall storms moving across an area, spiraling fields resembl

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10501 - Hydrology

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název periodika

WATER RESOURCES RESEARCH

ISSN

0043-1397

e-ISSN

1944-7973

Svazek periodika

57

Číslo periodika v rámci svazku

8

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

26

Strana od-do

1-26

Kód UT WoS článku

000688205400034

EID výsledku v databázi Scopus

2-s2.0-85113373562