2021
DOI: 10.1002/essoar.10506527.1
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Amazon hydrology from space: scientific advances and future challenges

Abstract: As the largest river basin on Earth, the Amazon is of major importance to the world's climate and water resources. Over the past decades, advances in satellite-based remote sensing (RS) have brought our understanding of its terrestrial water cycle and the associated hydrological processes to a new era. Here, we review major studies and the various techniques using satellite RS in the Amazon. We show how RS played a major role in supporting new research and key findings regarding the Amazon water cycle, and how… Show more

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Cited by 5 publications
(6 citation statements)
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References 597 publications
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“…The strong resonance at multi‐year (2–4 years) periodicities between ET and P , between ET and TWSA , and between ET and LAI are evident (Figure S2a, S2b, and S2d in Supporting Information ), while the strong resonances at the 1‐year periodicity between P / TWSA / DSR / LAI and ET are significant and discontinuous. These possibly relate to long‐term climatic drivers (e.g., El Niño with ∼3–∼7 years periodicity) or the tropical Atlantic and Pacific Sea surface anomalies (∼2–∼6 years periodicity) (Fassoni‐Andrade et al., 2021). Their discontinuous resonances at intra‐annual periods correspond to the significant high‐power regions at 2–6 months period (Figure S1 in Supporting Information ).…”
Section: Resultsmentioning
confidence: 99%
“…The strong resonance at multi‐year (2–4 years) periodicities between ET and P , between ET and TWSA , and between ET and LAI are evident (Figure S2a, S2b, and S2d in Supporting Information ), while the strong resonances at the 1‐year periodicity between P / TWSA / DSR / LAI and ET are significant and discontinuous. These possibly relate to long‐term climatic drivers (e.g., El Niño with ∼3–∼7 years periodicity) or the tropical Atlantic and Pacific Sea surface anomalies (∼2–∼6 years periodicity) (Fassoni‐Andrade et al., 2021). Their discontinuous resonances at intra‐annual periods correspond to the significant high‐power regions at 2–6 months period (Figure S1 in Supporting Information ).…”
Section: Resultsmentioning
confidence: 99%
“…This data set is based on merged precipitation models by interpolation of rainfall in situ data. The version 2 (CHIRPS v2) has a spatial resolution of 5 km and showed an adequate performance for the Amazon Basin when evaluated against ground‐based rainfall stations and in situ discharge observations to represent interannual and multi‐decadal variability and interannual trends (Wongchuig et al ., 2017; Haghtalab et al ., 2020; Fassoni‐Andrade et al ., 2021).…”
Section: Methodsmentioning
confidence: 99%
“…Hydrological (vertical flow) and hydraulic (lateral flow) modeling of Amazonian floodplains advanced tremendously over the last three decades thanks to improved remote sensing technology and multi-satellite analytical approaches (reviewed by Fassoni-Andrade et al. 2021 ). Yet modeling the flood pulse within dense floodplain forests and floating macrophytes is still hindered by the lack of high-resolution digital elevation models that capture fine-scale changes in topography (Fassoni-Andrade et al.…”
Section: Tracking Flood Pulse Alterations In Amazonianmentioning
confidence: 99%
“…Yet modeling the flood pulse within dense floodplain forests and floating macrophytes is still hindered by the lack of high-resolution digital elevation models that capture fine-scale changes in topography (Fassoni-Andrade et al. 2021 , Melack and Coe 2021 ). Although the daily discharge of many large rivers is currently monitored by water-level gauges, mainly in the Brazilian Amazon, these gauges are located in river channels and do not capture fine-scale hydrological variability within floodplains (e.g., overbank flooding versus flooding through channels; Melack and Coe 2021 ).…”
Section: Tracking Flood Pulse Alterations In Amazonianmentioning
confidence: 99%