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Global catalog of soil moisture droughts over the past four decades

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F25%3A00637973" target="_blank" >RIV/86652079:_____/25:00637973 - isvavai.cz</a>

  • Alternative codes found

    RIV/60460709:41330/25:102105 RIV/00020711:_____/25:10155329 RIV/00216224:14310/25:00141784 RIV/62156489:43210/25:43927330

  • Result on the web

    <a href="https://hess.copernicus.org/articles/29/3341/2025/" target="_blank" >https://hess.copernicus.org/articles/29/3341/2025/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.5194/hess-29-3341-2025" target="_blank" >10.5194/hess-29-3341-2025</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Global catalog of soil moisture droughts over the past four decades

  • Original language description

    At the global scale, droughts can be described by many variables, expressing their extent, duration, dynamics, and severity. To identify common features in global land drought events (GLDEs) based on soil moisture, we present a robust method for their identification and classification (cataloging). Gridded estimates of root-zone soil moisture from the SoilClim model and the mesoscale Hydrologic Model (mHM) were calculated over global land from 1980-2022. Using the 10th-percentile thresholds of soil moisture anomalies and OPTICS clustering of the gridded data in a 10 d interval, a total of 775 GLDEs from SoilClim and 630 GLDEs from mHM were identified. By utilizing four spatiotemporal and three motion-related characteristics for each GLDE, we established threshold percentiles based on their distributions. This information enabled us to categorize droughts into seven severity categories (ranging from extremely weak to extremely severe) and seven dynamic categories (ranging from extremely static to extremely dynamic). Our global-scale synthesis revealed the highest relative proportions of extremely severe and extremely dynamic GLDEs in the South American region, followed by North America, while the longest and most extensive single GLDEs occurred in Eurasia. The severity and dynamic categories overlapped substantially for extremely severe and extremely dynamic droughts but very little for less severe/dynamic categories, despite some very small droughts that were occasionally very dynamic. The frequency of GLDEs has generally increased in recent decades across different drought categories but is statistically significant only in some cases. Overall, the cataloging of GLDEs presents a unique opportunity to analyze the evolving features of spatiotemporally connected drought events in recent decades and provides a basis for future investigations of the drivers and impacts of dynamically evolving drought events.

  • 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

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2025

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Hydrology and Earth System Sciences

  • ISSN

    1027-5606

  • e-ISSN

    1607-7938

  • Volume of the periodical

    29

  • Issue of the periodical within the volume

    14

  • Country of publishing house

    DE - GERMANY

  • Number of pages

    18

  • Pages from-to

    3341-3358

  • UT code for WoS article

    001540089000001

  • EID of the result in the Scopus database

    2-s2.0-105017231249