Rainfall Generation Revisited introducing CoSMoS 2s and Advancing Copula based Time Series Modeling

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F22%3A91620" target="_blank" >RIV/60460709:41330/22:91620 - isvavai.cz</a>

Výsledek na webu

<a href="https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2021WR031641" target="_blank" >https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2021WR031641</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1029/2021WR031641" target="_blank" >10.1029/2021WR031641</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Rainfall Generation Revisited introducing CoSMoS 2s and Advancing Copula based Time Series Modeling

Popis výsledku v původním jazyce

What elements should a parsimonious model reproduce at a single scale to precisely simulate rainfall at many scales. We posit these elements are the probability of dry and linear correlation structure of the wet dry sequence as a proxy reproducing the distribution of wet dry spells, and the marginal distribution of nonzero rainfall and its correlation structure. We build a two state rainfall model, the CoSMoS 2s, that explicitly reproduces these elements and is easily applicable at any timescale. Additionally, the paper introduces the Generalized Exponential distribution system comprising six flexible distributions with desired properties to describe nonzero rainfall and facilitate time series generation, extends the CoSMoS framework to allow simulations with negative correlations, simplifies the generation of binary sequences with any correlation structure by analytical approximations introduces the rank based CoSMoS 2s that preserves Spearmans correlations, has an analytical formulation, and is

Název v anglickém jazyce

Rainfall Generation Revisited introducing CoSMoS 2s and Advancing Copula based Time Series Modeling

Popis výsledku anglicky

What elements should a parsimonious model reproduce at a single scale to precisely simulate rainfall at many scales. We posit these elements are the probability of dry and linear correlation structure of the wet dry sequence as a proxy reproducing the distribution of wet dry spells, and the marginal distribution of nonzero rainfall and its correlation structure. We build a two state rainfall model, the CoSMoS 2s, that explicitly reproduces these elements and is easily applicable at any timescale. Additionally, the paper introduces the Generalized Exponential distribution system comprising six flexible distributions with desired properties to describe nonzero rainfall and facilitate time series generation, extends the CoSMoS framework to allow simulations with negative correlations, simplifies the generation of binary sequences with any correlation structure by analytical approximations introduces the rank based CoSMoS 2s that preserves Spearmans correlations, has an analytical formulation, and is

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10511 - Environmental sciences (social aspects to be 5.7)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2022

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

58

Číslo periodika v rámci svazku

6

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

33

Strana od-do

1-33

Kód UT WoS článku

000812186400001

EID výsledku v databázi Scopus

2-s2.0-85132947368