On the Structure of the Intermittency of Rainfall

Dey, Pankaj

doi:10.1007/s11269-023-03441-z

Cited by 3 publications

(1 citation statement)

References 49 publications

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“…G. Baiamonte et al: Different methods to model dry and wet spells in Europe Many approaches have been proposed in the scientific literature to model rainfall intermittence, including Poisson clusters, multifractals, power spectral analyses, Markov chains, and geostatistics (Dey, 2023;Hershfield, 1970;Schleiss and Smith, 2016). At the local scale, a classical approach to address intermittency in rainfall records is to statistically analyze the sequences of rainy days, called wet spells and denoted as ws, and those of non-rainy days, called dry spells and denoted as ds and assumed to be independent of each other.…”

Section: Introductionmentioning

confidence: 99%

Applying different methods to model dry and wet spells at daily scale in a large range of rainfall regimes across Europe

Baiamonte,

Agnese,

Cammalleri

et al. 2024

Adv. Stat. Clim. Meteorol. Oceanogr.

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Abstract. The modeling of the occurrence of a rainfall dry spell and wet spell (ds and ws, respectively) can be jointly conveyed using interarrival times (its). While the modeling has the advantage of requiring a single fitting for the description of all rainfall time characteristics (including wet and dry chains, an extension of the concept of spells), the assumption of the independence and identical distribution of the renewal times it implicitly imposes a memoryless property on the derived ws, which may not be true in some cases. In this study, two different methods for the modeling of rainfall time characteristics at the station scale have been applied: (i) a direct method (DM) that fits the discrete Lerch distribution to it records and that then derives ws and ds (as well as the corresponding chains) from the it distribution and (ii) an indirect method (IM) that fits the Lerch distribution to the ws and ds records separately, relaxing the assumptions of the renewal process. The results of this application over six stations in Europe, characterized by a wide range of rainfall regimes, highlight how the geometric distribution does not always reasonably reproduce the ws frequencies, even when its are modeled well by the Lerch distribution. Improved performances are obtained with the IM thanks to the relaxation of the assumption of the independence and identical distribution of the renewal times. A further improvement of the fittings is obtained when the datasets are separated into two periods, suggesting that the inferences may benefit from accounting for the local seasonality.

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Section: Introductionmentioning

confidence: 99%

Applying different methods to model dry and wet spells at daily scale in a large range of rainfall regimes across Europe

Baiamonte,

Agnese,

Cammalleri

et al. 2024

Adv. Stat. Clim. Meteorol. Oceanogr.

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Changing rainfall patterns: a perspective of inter-event time between rainfall events and annual numbers of rainfall events

Jiang,

McBean,

Zeng

et al. 2024

Stoch Environ Res Risk Assess

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Long-term variations (1970–2020) and spatial patterns of nitrogen and phosphorus soil budgets and fates in Indian agriculture

Elsayed,

Beusen,

Prusty

et al. 2024

Nutr Cycl Agroecosyst

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The Green Revolution rapidly increased India’s food production since the 1960s, but excessive synthetic fertilizer use caused severe environmental problems. Our spatially explicit analysis for 1970–2020 indicates an uneven distribution of the dramatic increase of surpluses of India’s soil N (4.3 to 21.6 Tg N/year) and P budget (0.4 to 3.3 Tg P/year): with high surpluses in e.g., Green Revolution (GR) and South-West (SW) regions, lower surpluses in e.g., North-West (NW) and even local deficits within some other states Nutrient surpluses were growing primarily through increased use of synthetic fertilizers, which resulted in declining nutrient use efficiency, high N and P losses and soil P accumulation, with large regional heterogeneity. Total N loss is determined by the surplus, through “holes in the pipe”, whereby the holes (loss pathways) differ in diameter, as determined by climate, crop, soil, terrain and management. Ammonia volatilization ranged from 16% of the N surplus (NC) to 45% (GR states), and denitrification losses from 50% (NC and SW) to 38% (GR) and 28% (NE). N loss via leaching ranged from 46% (NE), to 22–26% (GR and NC), and 16% (SW), and surface runoff losses between 2% (GR) and 9% (NC). In the period 1970-2020, our estimated soil P accumulation across India amounts to 290 kg P/ha, highest in SW followed by NE and GR states and lowest in NC. The SW region also has the highest surface runoff P loss (40% of its regional budget), followed by NC (53%), NE (34%), and GR (26%). Addressing these regional differences can help developing effective, targeted and region-specific nutrient management strategies while meeting India’s rising food demand.

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On the Structure of the Intermittency of Rainfall

Cited by 3 publications

References 49 publications

Applying different methods to model dry and wet spells at daily scale in a large range of rainfall regimes across Europe

Applying different methods to model dry and wet spells at daily scale in a large range of rainfall regimes across Europe

Changing rainfall patterns: a perspective of inter-event time between rainfall events and annual numbers of rainfall events

Long-term variations (1970–2020) and spatial patterns of nitrogen and phosphorus soil budgets and fates in Indian agriculture

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