Year-to-Year Variability of Rainfall for Microwave Applications in the U.S.A.

Dutton, E. J.; Dougherty, H. T.

doi:10.1109/tcom.1979.1094464

Cited by 32 publications

(16 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example, Dutton and Dougherty (1979) and Watson et al (1982) present a threshold of 48-50 mm h −1 for considering rainfall to be all of convective origin. Llasat (2001) considers that convective rain events exceed a peak 5 min intensity of 35 mm h −1 , and a threshold for average hourly intensities for heavy rainfall defined by the Spanish National Meteorological Institute is 15 mm h −1 .…”

Section: Comparison Of Intensity Thresholdsmentioning

confidence: 99%

Selection of intense rainfall events based on intensity thresholds and lightning data in Switzerland

Gaál

Molnár

Szolgay

2014

Hydrol. Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. This paper presents a method to identify intense warm season storms with convective character based on intensity thresholds and the presence of lightning, and analyzes their statistical properties. Long records of precipitation and lightning data at 4 stations and 10 min resolution in different climatological regions in Switzerland are used. Our premise is that thunderstorms associated with lightning generate bursts of high rainfall intensity. We divided all recorded storms into those accompanied by lightning and those without lightning and found the threshold I * that separates intense events based on peak 10 min intensity I p ≥ I * for a chosen misclassification rate α. The performance and robustness of the selection method was tested by investigating the inter-annual variability of I * and its relation to the frequency of lightning strikes. The probability distributions of the main storm properties (rainfall depth R, event duration D, average storm intensity I a and peak 10 min intensity I p ) for the intense storm subsets show that the event average and peak intensities are significantly different between the stations. Nonparametric correlations between the main storm properties were estimated for intense storms and all storms including stratiform rain. The differences in the correlations between storm subsets are greater than those between stations, which indicates that care must be exercised not to mix events of different origin when they are sampled for multivariate analysis, for example, copula fitting to rainfall data.

show abstract

Section: Comparison Of Intensity Thresholdsmentioning

confidence: 99%

Selection of intense rainfall events based on intensity thresholds and lightning data in Switzerland

Gaál

Molnár

Szolgay

2014

Hydrol. Earth Syst. Sci.

View full text Add to dashboard Cite

show abstract

“…More frequently, a threshold is used that establishes the minimum value below which rainfall is not considered convective (e.g. Dutton and Dougherty, 1979). Llasat (2001) proposed a classification for pluviometric episodes based on their convective nature.…”

Section: Introductionmentioning

confidence: 99%

Trends in flash flood events versus convective precipitation in the Mediterranean region: The case of Catalonia

Llasat

Marcos-Matamoros

Turco

et al. 2016

Journal of Hydrology

114

128

View full text Add to dashboard Cite

Keywords: Flash floods Convective precipitation b parameter Trend analysis Mediterranean s u m m a r yThe aim of this paper is to analyse the potential relationship between flash flood events and convective precipitation in Catalonia, as well as any related trends. The paper starts with an overview of flash floods and their trends in the Mediterranean region, along with their associated factors, followed by the definition of, identification of, and trends in convective precipitation. After this introduction the paper focuses on the north-eastern Iberian Peninsula, for which there is a long-term precipitation series (since 1928) of 1-min precipitation from the Fabra Observatory, as well as a shorter (1996-2011) but more extensive precipitation series (43 rain gauges) of 5-min precipitation. Both series have been used to characterise the degree of convective contribution to rainfall, introducing the b parameter as the ratio between convective precipitation versus total precipitation in any period. Information about flood events was obtained from the INUNGAMA database (a flood database created by the GAMA team), with the aim of finding any potential links to convective precipitation. These flood data were gathered using information on damage where flood is treated as a multifactorial risk, and where any trend or anomaly might have been caused by one or more factors affecting hazard, vulnerability or exposure. Trend analysis has shown an increase in flash flood events. The fact that no trends were detected in terms of extreme values of precipitation on a daily scale, nor on the associated ETCCDI (Expert Team on Climate Change Detection and Indices) extreme index, could point to an increase in vulnerability, an increase in exposure, or changes in land use. However, the summer increase in convective precipitation was concentrated in less torrential events, which could partially explain this positive trend in flash flood events. The b parameter has been also used to characterise the type of flood event according to the features of the precipitation. The highest values correspond to short and local events, usually with daily b values above 0.5, while the minimum threshold of daily b for catastrophic flash floods is 0.31.

show abstract

“…The climatic mapping of rain-rate and rain-attenuation has naturally attracted a great deal of attention -for instance this kind of work has earlier been carried out for USA [12], Europe [12, 14, Gunes et al, 1994], Malaysia [3], Colombia [13] and on global scale by ITU-R [10], Salonen and Baptisa [16], Crane, 1996. Efforts has also been made by Ajayi and Ofoche [2] to obtain 1 minute rain rate map for Nigeria using Rice-Holmberg model however the model overestimates rain rates in the high-availability range (0.01%), and underestimates in the range between 0.1% to 1% [26].…”

Section: Introductionmentioning

confidence: 99%

Rain Rate and Rain Attenuation Prediction for Satellite Communication in Ku and Ka Bands Over Nigeria.

Ojo¹,

Ajewole²,

Sarkar³

2008

PIER B

131

View full text Add to dashboard Cite

Abstract-Rain rate and rain attenuation predictions are one of the vital steps to be considered when analyzing a microwave satellite communication links at the Ku and Ka bands. In this paper, tools for the prediction of rain rate and rain attenuation are presented in the form of contour maps for Nigeria using a massive rainfall data bank of 30 years which are taken from measurements made from the coast to the arid region of Nigeria. Rain-rate maps for the country of Nigeria were developed using the models purposely designed for tropical zones while ITU-R models were used for the rain-attenuation maps. The information from these maps will be a good preliminary design tools for both terrestrial and earth-satellite microwave links and also provide a broad idea of rain attenuation for microwave engineers.

show abstract

Year-to-Year Variability of Rainfall for Microwave Applications in the U.S.A.

Cited by 32 publications

References 3 publications

Selection of intense rainfall events based on intensity thresholds and lightning data in Switzerland

Selection of intense rainfall events based on intensity thresholds and lightning data in Switzerland

Trends in flash flood events versus convective precipitation in the Mediterranean region: The case of Catalonia

Rain Rate and Rain Attenuation Prediction for Satellite Communication in Ku and Ka Bands Over Nigeria.

Contact Info

Product

Resources

About