The Perils of Regridding: Examples Using a Global Precipitation Dataset

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F21%3A89936" target="_blank" >RIV/60460709:41330/21:89936 - isvavai.cz</a>

Výsledek na webu

<a href="https://journals.ametsoc.org/view/journals/apme/60/11/JAMC-D-20-0259.1.xml" target="_blank" >https://journals.ametsoc.org/view/journals/apme/60/11/JAMC-D-20-0259.1.xml</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1175/JAMC-D-20-0259.1" target="_blank" >10.1175/JAMC-D-20-0259.1</a>

Jazyk výsledku

angličtina

Název v původním jazyce

The Perils of Regridding: Examples Using a Global Precipitation Dataset

Popis výsledku v původním jazyce

Gridded precipitation datasets are used in many applications such as the analysis of climate variability or change and hydrological modeling. Regridding precipitation datasets is common for model coupling (coupling atmospheric and hydrological models) or comparing different models and datasets. However, regridding can considerably alter precipitation statistics. In this global analysis, the effects of regridding a precipitation dataset are emphasized using three regridding methods (first-order conservative, bilinear, and distance-weighted averaging). The differences between the original and regridded dataset are substantial and greatest at high quantiles. Differences of 46 and 0,13 mm are noted in high (0,95) and low (0,05) quantiles, respectively. The impacts of regridding vary spatially for land and oceanic regions, there are substantial differences at high quantiles in tropical land regions, and at low quantiles in polar regions. These impacts are approximately the same for different regridding me

Název v anglickém jazyce

The Perils of Regridding: Examples Using a Global Precipitation Dataset

Popis výsledku anglicky

Gridded precipitation datasets are used in many applications such as the analysis of climate variability or change and hydrological modeling. Regridding precipitation datasets is common for model coupling (coupling atmospheric and hydrological models) or comparing different models and datasets. However, regridding can considerably alter precipitation statistics. In this global analysis, the effects of regridding a precipitation dataset are emphasized using three regridding methods (first-order conservative, bilinear, and distance-weighted averaging). The differences between the original and regridded dataset are substantial and greatest at high quantiles. Differences of 46 and 0,13 mm are noted in high (0,95) and low (0,05) quantiles, respectively. The impacts of regridding vary spatially for land and oceanic regions, there are substantial differences at high quantiles in tropical land regions, and at low quantiles in polar regions. These impacts are approximately the same for different regridding me

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10509 - Meteorology and atmospheric sciences

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

Journal of Applied Meteorology and Climatology

ISSN

1558-8424

e-ISSN

1558-8432

Svazek periodika

60

Číslo periodika v rámci svazku

11

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

13

Strana od-do

1561-1573

Kód UT WoS článku

000730830900004

EID výsledku v databázi Scopus

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