Seasonal semi-variance of Dutch rainfall at hourly to daily scales

Beek, C.Z. van de; Leijnse, H.; Torfs, P.J.J.F.; Uijlenhoet, R.

doi:10.1016/j.advwatres.2012.03.023

Cited by 46 publications

(49 citation statements)

References 21 publications

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“…The methodology developed in Van de Beek et al (2012) could be optimised for other climates. This requires long rainfall time series.…”

Section: Interpolation Methodologymentioning

confidence: 99%

“…The parameter values can be supplied by the user or they can be computed as follows. The sill and range of an isotropic spherical variogram model have been expressed as a function of day of year (DOY) and duration (1-24 h) using a 30-year rain gauge data set from the Netherlands ( Van de Beek et al, 2012). This data set does not overlap with the link data set.…”

Section: Rainfall Mapsmentioning

confidence: 99%

“…Other approaches to identify rainy and non-rainy spells make use of auxiliary sources but are not considered in this paper. For instance, radar data have been utilised in the "radar approach" (Overeem et al, 2011), and geostationary satellite data in the "satellite approach" (Van het Schip et al, 2016). An advantage of the nearby link approach is that it solely employs link data; i.e.…”

Section: Introductionmentioning

confidence: 99%

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Retrieval algorithm for rainfall mapping from microwave links in a cellular communication network

2016

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Abstract. Microwave links in commercial cellular communication networks hold a promise for areal rainfall monitoring and could complement rainfall estimates from ground-based weather radars, rain gauges, and satellites. It has been shown that country-wide ( ≈ 35 500 km 2 ) 15 min rainfall maps can be derived from the signal attenuations of approximately 2400 microwave links in such a network. Here we give a detailed description of the employed rainfall retrieval algorithm. Moreover, the documented, modular, and user-friendly code (a package in the scripting language "R") is made available, including a 2-day data set of approximately 2600 commercial microwave links from the Netherlands. The purpose of this paper is to promote rainfall mapping utilising microwave links from cellular communication networks as an alternative or complementary means for continental-scale rainfall monitoring.

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“…The methodology developed in Van de Beek et al (2012) could be optimised for other climates. This requires long rainfall time series.…”

Section: Interpolation Methodologymentioning

confidence: 99%

Section: Rainfall Mapsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Retrieval algorithm for rainfall mapping from microwave links in a cellular communication network

2016

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“…Therefore, a more robust procedure is followed. The sill and range of a spherical variogram model have been expressed as a function of duration (1-24 h) and day of year using rain gauge data from The Netherlands (30). These relationships are extrapolated to 15 min.…”

Section: Methodsmentioning

confidence: 99%

“…A 15-min interval is labeled wet if the mutual decrease in minimum received powers of nearby links in the same interval exceeds two thresholds based on the fact that rain is spatially correlated (29,30). A filter is used to remove outliers in attenuation due to malfunctioning of link antennas.…”

Section: Methodsmentioning

confidence: 99%

Country-wide rainfall maps from cellular communication networks

Overeem

Leijnse

Uijlenhoet

2013

Proc. Natl. Acad. Sci. U.S.A.

241

274

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Accurate and timely surface precipitation measurements are crucial for water resources management, agriculture, weather prediction, climate research, as well as ground validation of satellite-based precipitation estimates. However, the majority of the land surface of the earth lacks such data, and in many parts of the world the density of surface precipitation gauging networks is even rapidly declining. This development can potentially be counteracted by using received signal level data from the enormous number of microwave links used worldwide in commercial cellular communication networks. Along such links, radio signals propagate from a transmitting antenna at one base station to a receiving antenna at another base station. Rain-induced attenuation and, subsequently, path-averaged rainfall intensity can be retrieved from the signal's attenuation between transmitter and receiver. Here, we show how one such a network can be used to retrieve the space-time dynamics of rainfall for an entire country (The Netherlands, ∼35,500 km 2 ), based on an unprecedented number of links (∼2,400) and a rainfall retrieval algorithm that can be applied in real time. This demonstrates the potential of such networks for real-time rainfall monitoring, in particular in those parts of the world where networks of dedicated ground-based rainfall sensors are often virtually absent.hydrometeorology | remote sensing

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Sensitivity of power functions to aggregation: Bias and uncertainty in radar rainfall retrieval

Sassi

Leijnse

Uijlenhoet

2014

Water Resources Research

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Rainfall retrieval using weather radar relies on power functions between radar reflectivity Z and rain rate R. The nonlinear nature of these relations complicates the comparison of rainfall estimates employing reflectivities measured at different scales. Transforming Z into R using relations that have been derived for other scales results in a bias and added uncertainty. We investigate the sensitivity of Z-R relations to spatial and temporal aggregation using high-resolution reflectivity fields for five rainfall events. Existing Z-R relations were employed to investigate the behavior of aggregated Z-R relations with scale, the aggregation bias, and the variability of the estimated rain rate. The prefactor and the exponent of aggregated Z-R relations systematically diverge with scale, showing a break that is event-dependent in the temporal domain and nearly constant in space. The systematic error associated with the aggregation bias at a given scale can become of the same order as the corresponding random error associated with intermittent sampling. The bias can be constrained by including information about the variability of Z within a certain scale of aggregation, and is largely captured by simple functions of the coefficient of variation of Z. Several descriptors of spatial and temporal variability of the reflectivity field are presented, to establish the links between variability descriptors and resulting aggregation bias. Prefactors in Z-R relations can be related to multifractal properties of the rainfall field. We find evidence of scaling breaks in the structural analysis of spatial rainfall with aggregation.

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Seasonal semi-variance of Dutch rainfall at hourly to daily scales

Cited by 46 publications

References 21 publications

Retrieval algorithm for rainfall mapping from microwave links in a cellular communication network

Retrieval algorithm for rainfall mapping from microwave links in a cellular communication network

Country-wide rainfall maps from cellular communication networks

Sensitivity of power functions to aggregation: Bias and uncertainty in radar rainfall retrieval

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