Assessing drought conditions in Northeast Brazil: A comparative analysis of soil moisture, groundwater, and total water storage

Northeast Brazil (NEB). Over the past few decades, there has been a noticeable surge in the applications of drought indices centered around Total Water Storage (TWS) and its components. This study aims to evaluate the dynamics of continental water storage and its components in Northeast Brazil (NEB), utilizing drought indices based on soil moisture (SMI), groundwater (GWI) and TWS (WSDI) for the period 2003–2022. Four types of data were employed: remote sensing (ESA CCI SM and GRACE), in-situ data (SM and GW storage), land surface model simulations, and global Standardized Precipitation Evapotranspiration Index (SPEI). The first two served as the reference for comparison with the SM, GW, and TWS simulated by the Catchment Land Surface Model (CLSM). New hydrological insights for the region: Drought indices based on CLSM data from the Global Land Data Assimilation System (GLDAS) can be considered reliable after comparison with SPEI and analysis of their patterns using continuous wavelet transformation (CWT). The SMI is more correlated with the SPEI-3 (3-month time scale), and the GWI presented better correlations with the time scales between 12 and 36 months of the SPEI. Changes in the trend of the indices were detected in the hydrographic regions localized in the south of the study area, indicating an increase in drought occurrence. The calculation of the TWS (doing the sum of SM and GW from the CLSM) fitted well with the GRACE data. • The soil moisture from the CLSM model was satisfactorily validated with ESA CCI SM. • The CLSM version with GRACE data assimilation provides better estimates of TWS. • Indices based on CLSM data can be considered reliable after comparison with SPEI. • Spatio-temporal patterns were captured by the application of wavelet in the indices. • Changes in the trend of the indices were detected in the south of the study area.

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Publication Details

Journal
Journal of Hydrology Regional Studies
Published
2024-10-02
DOI
https://doi.org/10.1016/j.ejrh.2024.101983
Citations
9
Primary Topic
Geophysics and Gravity Measurements
Type
article
Field-Weighted Citation Impact
4.33

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article

Assessing drought conditions in Northeast Brazil: A comparative analysis of soil moisture, groundwater, and total water storage

Peyman Saemian, Luiz Antônio Cândido, Alfredo Ribeiro Neto, Mayara Silva de Oliveira
9 citations
Journal of Hydrology Regional Studies
Geophysics and Gravity Measurements
4.33
article

Assessing drought conditions in Northeast Brazil: A comparative analysis of soil moisture, groundwater, and total water storage

Peyman Saemian, Luiz Antônio Cândido, Alfredo Ribeiro Neto, Mayara Silva de Oliveira
article en
9 citations

Abstract

Northeast Brazil (NEB). Over the past few decades, there has been a noticeable surge in the applications of drought indices centered around Total Water Storage (TWS) and its components. This study aims to evaluate the dynamics of continental water storage and its components in Northeast Brazil (NEB), utilizing drought indices based on soil moisture (SMI), groundwater (GWI) and TWS (WSDI) for the period 2003–2022. Four types of data were employed: remote sensing (ESA CCI SM and GRACE), in-situ data (SM and GW storage), land surface model simulations, and global Standardized Precipitation Evapotranspiration Index (SPEI). The first two served as the reference for comparison with the SM, GW, and TWS simulated by the Catchment Land Surface Model (CLSM). New hydrological insights for the region: Drought indices based on CLSM data from the Global Land Data Assimilation System (GLDAS) can be considered reliable after comparison with SPEI and analysis of their patterns using continuous wavelet transformation (CWT). The SMI is more correlated with the SPEI-3 (3-month time scale), and the GWI presented better correlations with the time scales between 12 and 36 months of the SPEI. Changes in the trend of the indices were detected in the hydrographic regions localized in the south of the study area, indicating an increase in drought occurrence. The calculation of the TWS (doing the sum of SM and GW from the CLSM) fitted well with the GRACE data. • The soil moisture from the CLSM model was satisfactorily validated with ESA CCI SM. • The CLSM version with GRACE data assimilation provides better estimates of TWS. • Indices based on CLSM data can be considered reliable after comparison with SPEI. • Spatio-temporal patterns were captured by the application of wavelet in the indices. • Changes in the trend of the indices were detected in the south of the study area.

Journal of Hydrology Regional StudiesVol. 56
University of Stuttgart (DE), Instituto Nacional de Pesquisas da Amazônia (BR), Universidade Federal de Pernambuco (BR)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico
Clean water and sanitation
Openalex Percentile: Top 5%
Geophysics and Gravity Measurements
4.33
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