Thu Aug 14, F. Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
Luo, Xinyu, Wu, Tangting, Lu, Liguo, Chao, Nengfang, Liu, Zhanke, and Peng, Yujie, 2025. Using Geodetic Data to Monitor Hydrological Drought at Different Spatial Scales: A Case Study of Brazil and the Amazon Basin. Remote Sensing, 17(10):1670, doi:10.3390/rs17101670.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2025RemS...17.1670L,
author = {{Luo}, Xinyu and {Wu}, Tangting and {Lu}, Liguo and {Chao}, Nengfang and {Liu}, Zhanke and {Peng}, Yujie},
title = "{Using Geodetic Data to Monitor Hydrological Drought at Different Spatial Scales: A Case Study of Brazil and the Amazon Basin}",
journal = {Remote Sensing},
keywords = {GNSS vertical displacement, GRACE/GFO, terrestrial water storage, hydrological drought, Brazil},
year = 2025,
month = may,
volume = {17},
number = {10},
eid = {1670},
pages = {1670},
abstract = "{Geodetic data, especially from the Global Navigation Satellite System
(GNSS) and Gravity Recovery and Climate Experiment (GRACE)/GRACE
Follow-On (GFO), are extensively employed in hydrological
drought monitoring across various spatial scales due to their
unique spatial resolution. In recent years, Brazil has
experienced some of the most severe drought events in decades.
This study focuses on Brazil and its northeastern Amazon Plain,
investigates the spatiotemporal characteristics of terrestrial
water storage (TWS) changes, and calculates the hydrological
drought severity index (DSI) and meteorological drought index
for comprehensive analysis of drought conditions. The results
indicate that the time series of TWS changes derived from
different data sources are highly correlated, with correlation
coefficients exceeding 0.85, and are consistent with the trend
of precipitation variation, reflecting notable seasonal
fluctuations, i.e., an increase in precipitation during the
spring and summer seasons leads to a rise in TWS, while a
decrease in precipitation during the autumn and winter seasons
triggers a reduction in TWS. In terms of spatial distribution,
the annual amplitude of TWS variation is most pronounced in the
northeastern Amazon Plain. The highest amplitude, approximately
800 mm, is observed near the Amazon River Basin, and this
amplitude gradually weakens from northeast to southwest. GNSS
and GRACE/GFO data reveal four hydrological drought events in
Brazil from 2013 to 2024, with two of these events detected
using GRACE/GFO data. The most severe droughts occurred between
2023 and 2024, primarily driven by prolonged precipitation
deficits and the El Ni{\~n}o phenomenon, lasting up to nine
months. Additionally, three distinct drought events were
identified in the Amazon Plain, suggesting that its hydrological
dynamics significantly influenced Brazil's drought conditions.
These results demonstrate the capability of geodetic data to
effectively monitor water deficit and drought duration on both
small spatial scales and short timeframes, thereby providing
crucial support for timely responses to and the management of
hydrological drought events.}",
doi = {10.3390/rs17101670},
adsurl = {https://ui.adsabs.harvard.edu/abs/2025RemS...17.1670L},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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