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Connecting meteorological and hydrological drought in the Baltic Region

Meilutytė-Lukauskienė, Diana ; Sharifi, Alireza ; Nazarenko, Serhii ; Akstinas, Vytautas ; Haghighi, Ali Torabi ; Kobets, Yaroslav ; Kokorīte, Ilga ; Jurgelėnaitė, Aldona ; Hashemi, Hossein LU orcid and Shahnazi, Saman (2025) In Atmospheric Research 322.
Abstract

Drought, a widely recognised and far-reaching natural hazard, has a profound impact on the global economy and the environment. This complex phenomenon, characterised by its severity, duration and spatial extent, is central to understanding its multifaceted impacts. Drought indices are an important tool for characterising and monitoring drought conditions. They provide a simplified way to understand the myriad climate factors that play a role. They also provide quantifiable measures for assessing the severity, duration and frequency of climate anomalies. In the Baltic Region, the relationships between meteorological (using the Standardised Precipitation Index (SPI) and the Reconnaissance Drought Index (RDI)) and hydrological drought... (More)

Drought, a widely recognised and far-reaching natural hazard, has a profound impact on the global economy and the environment. This complex phenomenon, characterised by its severity, duration and spatial extent, is central to understanding its multifaceted impacts. Drought indices are an important tool for characterising and monitoring drought conditions. They provide a simplified way to understand the myriad climate factors that play a role. They also provide quantifiable measures for assessing the severity, duration and frequency of climate anomalies. In the Baltic Region, the relationships between meteorological (using the Standardised Precipitation Index (SPI) and the Reconnaissance Drought Index (RDI)) and hydrological drought (using the Streamflow Drought Index (SDI)) were analysed and the possibility of using the RDI instead of the SPI was investigated. For each index, accumulation periods of 6, 9 and 12 months were used, analysing data from the period 1961–2020. Our study attempts to investigate the relationships between the SPI, RDI and SDI indices using data from specific hydrometeorological stations across the Baltic Region, highlighting differences between four delineated sub-regions. For most accumulation periods in the northern sub-regions, SDI showed a better relationship to SPI than RDI. However, in the southwestern sub-region for late summer and early autumn and in the southeastern sub-region for long accumulation periods, RDI showed a better relationship with SDI. This pattern reveals the limitation of the RDI index in cold climate zones and its threshold could be defined as the northern boundary of the southern sub-regions. The study shows that the drought indices in the Baltic Region serve as valuable tools to characterise drought conditions and facilitate the assessment of the spatial and temporal characteristics and severity of drought.

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organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Baltic Region, Drought indices, Drought relations, RDI, SDI, SPI
in
Atmospheric Research
volume
322
article number
108138
publisher
Elsevier
external identifiers
  • scopus:105002428458
ISSN
0169-8095
DOI
10.1016/j.atmosres.2025.108138
language
English
LU publication?
yes
id
c0a5c8d9-0bb9-446d-a633-f628def469bf
date added to LUP
2025-08-07 11:46:06
date last changed
2025-08-07 11:47:23
@article{c0a5c8d9-0bb9-446d-a633-f628def469bf,
  abstract     = {{<p>Drought, a widely recognised and far-reaching natural hazard, has a profound impact on the global economy and the environment. This complex phenomenon, characterised by its severity, duration and spatial extent, is central to understanding its multifaceted impacts. Drought indices are an important tool for characterising and monitoring drought conditions. They provide a simplified way to understand the myriad climate factors that play a role. They also provide quantifiable measures for assessing the severity, duration and frequency of climate anomalies. In the Baltic Region, the relationships between meteorological (using the Standardised Precipitation Index (SPI) and the Reconnaissance Drought Index (RDI)) and hydrological drought (using the Streamflow Drought Index (SDI)) were analysed and the possibility of using the RDI instead of the SPI was investigated. For each index, accumulation periods of 6, 9 and 12 months were used, analysing data from the period 1961–2020. Our study attempts to investigate the relationships between the SPI, RDI and SDI indices using data from specific hydrometeorological stations across the Baltic Region, highlighting differences between four delineated sub-regions. For most accumulation periods in the northern sub-regions, SDI showed a better relationship to SPI than RDI. However, in the southwestern sub-region for late summer and early autumn and in the southeastern sub-region for long accumulation periods, RDI showed a better relationship with SDI. This pattern reveals the limitation of the RDI index in cold climate zones and its threshold could be defined as the northern boundary of the southern sub-regions. The study shows that the drought indices in the Baltic Region serve as valuable tools to characterise drought conditions and facilitate the assessment of the spatial and temporal characteristics and severity of drought.</p>}},
  author       = {{Meilutytė-Lukauskienė, Diana and Sharifi, Alireza and Nazarenko, Serhii and Akstinas, Vytautas and Haghighi, Ali Torabi and Kobets, Yaroslav and Kokorīte, Ilga and Jurgelėnaitė, Aldona and Hashemi, Hossein and Shahnazi, Saman}},
  issn         = {{0169-8095}},
  keywords     = {{Baltic Region; Drought indices; Drought relations; RDI; SDI; SPI}},
  language     = {{eng}},
  publisher    = {{Elsevier}},
  series       = {{Atmospheric Research}},
  title        = {{Connecting meteorological and hydrological drought in the Baltic Region}},
  url          = {{http://dx.doi.org/10.1016/j.atmosres.2025.108138}},
  doi          = {{10.1016/j.atmosres.2025.108138}},
  volume       = {{322}},
  year         = {{2025}},
}