Impact of integration time steps of rain drop size distribution on their structuring and their modelling: a case study in northern Benin

Moumouni, Sounmaïla; Adjikpé, Loïc Saturnin; Lawin, Agnidé Emmanuel

doi:10.5802/crgeos.55

Cited by 3 publications

(7 citation statements)

References 38 publications

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“…In West Africa, gamma and lognormal DSD models are used more to adjust measured DSDs [Nzeukou et al, 2004, Ochou et al, 2007, Sauvageot and Lacaux, 1995, Moumouni et al, 2008, 2021. This study showed that these models are well adapted for the analyzed DSDs, but the generalized gamma DSD model is better because of its flexibility [Lee et al, 2004].…”

Section: Discussionmentioning

confidence: 95%

“…From these data, Moumouni et al [2021] computed other rain DSDs datasets of various integration time steps ( , 2, 3, 4, . .…”

Section: Datasetsmentioning

confidence: 99%

“…Following the work of Moumouni et al [2021] on the analysis of the impact of the integration time step on the single-moment normalization of the DSD, this study analyzes the impact of the integration time step on the double-moment normalization of the DSD. The method proposed by Lee et al [2004] was used.…”

Section: Concluding Remarkmentioning

confidence: 99%

“…The analysis of the impact of DSD integration time step on their modeling began with the work of Chapon et al [2008]. Recently, using single-moment normalization (scale parameter: rain intensity), Moumouni et al [2021] highlighted the dependence of the shape function parameters of DSD models (gamma and lognormal) on the DSD integration time step. By fitting the individual spectra with unimodal DSD models (gamma and lognormal), they also showed that the overall proportion of well-fitted and very well-fitted spectra increases with the integration time step.…”

Section: Introductionmentioning

confidence: 99%

“…This work aims to analyze the impact of the DSD integration time step on their double-moment normalization. For this purpose, the double-moment normalization of the DSD approach, proposed by Lee et al [2004], will be used and applied to DSD data measured in northern Benin [Moumouni et al, 2008[Moumouni et al, , 2021. Thus, the following sections will be devoted successively to the datasets, the method, the results and discussions, and the concluding remark.…”

Section: Introductionmentioning

confidence: 99%

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Impact of integration time steps of rain drop size distribution on their double-moment normalization: a case study in northern Benin

Moumouni¹,

Akponi²,

Zahiri³

et al. 2023

Comptes Rendus. Géoscience

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This study analyzed the sensitivity of the double-moment normalization of rain drop size distributions (DSDs) to their integration time steps. Six DSD datasets measured at different integration time steps were modeled by the double-moment normalization method. Six couples of reference moments are used for the normalization. Three DSD models (gamma, generalized gamma and lognormal) are used for modeling. Statistical criteria are used to assess the estimation of the moments of the DSDs made by the models. As results, the analysis highlighted the dependence of the shape function parameters on the DSD integration time step. It is also noted that the three DSD models are well adapted to the data used. Nevertheless, the generalized gamma model is recommended because of the independence of the moment estimation errors with respect to the integration time step, which is not the case for the other models.

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Section: Discussionmentioning

confidence: 95%

“…From these data, Moumouni et al [2021] computed other rain DSDs datasets of various integration time steps ( , 2, 3, 4, . .…”

Section: Datasetsmentioning

confidence: 99%

Section: Concluding Remarkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Impact of integration time steps of rain drop size distribution on their double-moment normalization: a case study in northern Benin

Moumouni¹,

Akponi²,

Zahiri³

et al. 2023

Comptes Rendus. Géoscience

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Parametrization of drop size distribution with rain rate for microwave and millimeter wave applications in Central Africa

et al. 2023

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Enhanced Quantitative Precipitation Estimation (QPE) through the opportunistic use of Ku TV-sat links via a Dual-Channel Procedure

Gelbart,

Barthès,

Mercier-Tigrine

et al. 2024

Preprint

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Abstract. Earth – satellite microwave links such as TV-SAT can help for rainfall monitoring and could be a complement or an alternative to ground-based weather radars, rain gauges or satellites dedicated to Earth observation. Rain induced attenuation which is harmful for telecommunication is exploited here as an opportunistic way to estimate rain rate along the path link. This technique makes it possible to obtain rain measurements at a fine temporal resolution (a few tens of seconds) and with a spatial resolution of few kilometers, which is a good compromise for human activities such as civil security (watershed monitoring, flash flood), agriculture or transport. Among the advantages of this technique, one can note the low cost of the hardware used (which can be commercial) as well as that of its maintenance on site. However, measured attenuation does not directly provide rain intensity and some parameters have to be estimated. Among these, it is necessary to take into account the contribution of the natural radiation of the atmosphere. In this paper, we detail a theoretical framework allowing to estimate rainfall from the measurements of a low-cost sensor operating simultaneously over two parts of the Ku-frenquency band. Then this framework is assessed in a densely instrumented area in south of France, where it is shown that very good results are obtained when compared to rain gauges measurements, both in terms of overall rain accumulation and in terms of rainfall rate distribution. Then we apply this dual channel method in Ivory Coast, in the metropolitan area of Abidjan, where such an approach is very promising. It is shown that this technique when compared to rain gauge measurements give results far better than a single-channel naive approach neglecting natural radiation of atmosphere, but that there are still significant errors in the rain assessment, leading to a persistent underestimation of rain accumulation. Finally we discuss various effects that could lead to this remaining underestimation, opening the door to further studies.

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Impact of integration time steps of rain drop size distribution on their structuring and their modelling: a case study in northern Benin

Abstract: Impact of integration time steps of rain drop size distribution on their structuring and their modelling: a case study in northern Benin

Cited by 3 publications

References 38 publications

Impact of integration time steps of rain drop size distribution on their double-moment normalization: a case study in northern Benin

Impact of integration time steps of rain drop size distribution on their double-moment normalization: a case study in northern Benin

Parametrization of drop size distribution with rain rate for microwave and millimeter wave applications in Central Africa

Enhanced Quantitative Precipitation Estimation (QPE) through the opportunistic use of Ku TV-sat links via a Dual-Channel Procedure

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