Features of the Earth's seasonal hydroclimate: characterizations and comparisons across the Koppen-Geiger climates and across continents

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F23%3A97547" target="_blank" >RIV/60460709:41330/23:97547 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1186/s40645-023-00574-y" target="_blank" >http://dx.doi.org/10.1186/s40645-023-00574-y</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1186/s40645-023-00574-y" target="_blank" >10.1186/s40645-023-00574-y</a>

Result language

angličtina

Original language name

Features of the Earth's seasonal hydroclimate: characterizations and comparisons across the Koppen-Geiger climates and across continents

Original language description

Detailed investigations of time series features across climates, continents and variable types can progress our understanding and modelling ability of the Earth's hydroclimate and its dynamics. They can also improve our comprehension of the climate classification systems appearing in their core. Still, such investigations for seasonal hydroclimatic temporal dependence, variability and change are currently missing from the literature. Herein, we propose and apply at the global scale a methodological framework for filling this specific gap. We analyse over 13,000 earth-observed quarterly temperature, precipitation and river flow time series. We adopt the Koppen-Geiger climate classification system and define continental-scale geographical regions for conducting upon them seasonal hydroclimatic feature summaries. The analyses rely on three sample autocorrelation features, a temporal variation feature, a spectral entropy feature, a Hurst feature, a trend strength feature and a seasonality strength feature. We find notable differences to characterize the magnitudes of these features across the various Koppen-Geiger climate classes, as well as between continental-scale geographical regions. We, therefore, deem that the consideration of the comparative summaries could be beneficial in water resources engineering contexts. Lastly, we apply explainable machine learning to compare the investigated features with respect to how informative they are in distinguishing either the main Koppen-Geiger climates or the continental-scale regions. In this regard, the sample autocorrelation, temporal variation and seasonality strength features are found to be more informative than the spectral entropy, Hurst and trend strength features at the seasonal time scale.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10511 - Environmental sciences (social aspects to be 5.7)

Project

<a href="/en/project/GM22-33266M" target="_blank" >GM22-33266M: Investigation of the Terrestrial HydrologicAl Cycle Acceleration (ITHACA)</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2023

Confidentiality

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

Name of the periodical

Progress in Earth and Planetary Science

ISSN

2197-4284

e-ISSN

2197-4284

Volume of the periodical

10

Issue of the periodical within the volume

1

Country of publishing house

US - UNITED STATES

Number of pages

20

Pages from-to

1-20

UT code for WoS article

001045209700001

EID of the result in the Scopus database

2-s2.0-85168268616