2022
DOI: 10.1016/j.atmosres.2022.106131
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Assessing the use of ERA5-Land reanalysis and spatial interpolation methods for retrieving precipitation estimates at basin scale

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Cited by 36 publications
(13 citation statements)
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References 54 publications
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“…Moreover, when no ground measurements are available for deriving rainfall values, alternative data sources such as the climate reanalysis could be used. For example, as suggested by Longo-Minnolo et al (2022), ERA5-Land reanalysis offers valid rainfall estimates with high probability of detection of the precipitation events. In order to map the irrigated areas without using reference data, a preliminary clustering classification was used.…”
Section: Discussionmentioning
confidence: 98%
“…Moreover, when no ground measurements are available for deriving rainfall values, alternative data sources such as the climate reanalysis could be used. For example, as suggested by Longo-Minnolo et al (2022), ERA5-Land reanalysis offers valid rainfall estimates with high probability of detection of the precipitation events. In order to map the irrigated areas without using reference data, a preliminary clustering classification was used.…”
Section: Discussionmentioning
confidence: 98%
“…Since its release, the accuracy of ERA5-Land indicators has been evaluated, including research to assess some indicators’ validity in Brazil and other countries and regions (Liu et al, 2020; Braga et al, 2021; de Araújo et al, 2022; Longo-Minnolo et al, 2022; Matsunaga et al, 2023). In general, the studies conclude that the ERA5-Land indicators are valid and fulfill their main purposes.…”
Section: Methodsmentioning
confidence: 99%
“… 39 ERA5-Land is an enhanced ERA5 surface component dataset that describes surface hydrothermal variability and has a globally improved spatial resolution of 9 km (0.1°) created by a more advanced surface modeling technique and has been widely used for regional and global analysis. 16 , 45 , 65 , 66 , 67 …”
Section: Methodsmentioning
confidence: 99%