Precipitation estimation over Sardinia from satellite infrared data

Marrocu, Marino; Pompei, A.; Dalu, G.; Liberti, Gian Luigi; Negri, Andrew J.

doi:10.1080/01431169308904324

Cited by 15 publications

(15 citation statements)

References 16 publications

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“…The rainfall from convective clouds is easy to identify in IR satellite images because their tops are very high in altitude and, therefore, very low in temperature. On the other hand, stratiform rainfall, coming from warm clouds, with possible orographic enhancement effects and frontal situations, is more difficult to identify in an IR satellite image (Marrocu et al, 1993;Negri and Adler, 1993). Although the magnitudes of the bias and RMSE are high, they are comparable (and even smaller) to those obtained in recent studies (e.g.…”

Section: Original Techniquessupporting

confidence: 67%

“…Many authors have suggested an assisted preselection of the images, with the use of meteorological information, to eliminate those corresponding to the days without precipitation in the gauges, since a successful identification of nonraining pixels would remedy the most common source of mistakes in the application of these techniques (Marrocu et al, 1993;Pompei et al, 1995). Assisted preselection is not conducted here because the aim of the work is to automate, for as long a period as possible, the processing of the large number of images necessary for climatic studies.…”

Section: Introductionmentioning

confidence: 99%

“…Because clouds are not transparent to the wavelengths of the IR and visible channels, these satellite sensors can see only the tops of the clouds. All the IR techniques, therefore, are based on the important fact that clouds with cold tops in the IR image produce more rainfall than those with warmer tops (Marrocu et al, 1993;New et al, 2001;Levizzani et al, 2002). This indirect estimation of precipitation is the most significant handicap to techniques based on IR or visible satellite images, and adjustments are necessary when applying these techniques in regions far away from the tropical or subtropical environments for which they were designed.…”

Section: Introductionmentioning

confidence: 99%

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Comparison of three infrared satellite techniques to estimate accumulated rainfall over the Iberian Peninsula

Tarruella

Jorge

2003

Intl Journal of Climatology

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The potential of three infrared satellite-based techniques to estimate accumulated rainfall is tested, and the techniques are compared and contrasted. The tests are conducted in the western Mediterranean area and for the first time in the Iberian Peninsula. The well-known Arkin and the Negri-Adler-Wesley techniques are applied, as well as the Autoestimator technique during the autumn of 1994. Because the aim of this work is to automate the process of extracting the data inferred in a large number of satellite images for as long as possible (only 4368 images have been analysed in this paper), no assisted preselection is recommended. The correlation coefficients obtained for the three methods in comparisons at specific points are near 0.6; and even better results were obtained for wide areas. The Iberian Peninsula is divided into three zones, which present different climatic characteristics. Tests conducted in the north and northwest yielded the worst results, probably due to the predominance of stratiform rain and the associated orographic effects. Tests conducted in Mediterranean coastal areas gave the best results, probably due to the convective nature of precipitation predominant in this zone. Various modifications are introduced in the methods, in order to adapt them to the target area.

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Section: Original Techniquessupporting

confidence: 67%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Comparison of three infrared satellite techniques to estimate accumulated rainfall over the Iberian Peninsula

Tarruella

Jorge

2003

Intl Journal of Climatology

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“…Its application to mid-latitude precipitation systems is by no means without difficulty. Using METEOSAT's IR imagery, Levizzani et al (1990), Marrocu et al (1993) and Pompei et al (1995) reported that the best performance of the NAW at mid-latitudes is obtained for rainfall estimates averaged over suitable space-time intervals. However, their findings were based on a comparison with raingauge networks: radar data were needed for a more thorough investigation.…”

Section: Satellite Rainfall Estimationsmentioning

confidence: 99%

“…Squall-line and frontal storm rain-inducing floods were also examined by Levizzani et al (1996). Marrocu et al (1993) estimated rain amount over Sardinia, and Pompei et al (1995) attempted a validation against the regional raingauge network. Porcù et al (1996Porcù et al ( , 1998 analysed stratiform rain from a hydrological perspective.…”

Section: Introductionmentioning

confidence: 99%

IR‐based satellite and radar rainfall estimates of convective storms over northern Italy

Amorati

Alberoni²,

Levizzani

et al. 2000

Meteorological Applications

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Investigating a SSM/I microwave algorithm to calibrate Meteosat infrared instantaneous rainrate estimates

Levizzani

Porcú

Marzano

et al. 1996

Meteorological Applications

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Simultaneous rainfall analyses using Special Sensor Microwave/Imager (SSM/I) passive microwave measurements and thermal infrared measurements from Meteosat are presented for two storms over northern Italy that caused damaging floods. Upwelling brightness temperatures over precipitating clouds in the mm-cm spectrum are directly associated with precipitation microphysics throughout the cloud column down into the rain layer. In contrast, brightness temperatures in the thermal infrared window, which arise from emission near cloud top, are not directly responsive to precipitation processes. However, because of the diffraction-limited nature of passive microwave detectors, microwave radiometer ground footprints are considerably larger than those characteristic of infrared sensors, even those flown at geosynchronous altitude. Furthermore, passive microwave radiometers are flown on low-earth orbiters, which produce less than ideal sampling rates, whereas optical-infrared radiometers flown on geosynchronous orbiters produce high frequency sampling concomitant with precipitation time scales. In this study, we investigate how these two types of measuring systems could be used in a complementary fashion to improve rainfall estimation. A physically based microwave algorithm is used to estimate rainfall with SSM/I measurements, whereas a two-threshold statistical technique is used for corresponding estimates from Meteosat. Results suggest that an infrared-based analysis of rainfall derived from half-hourly geosynchronous images can be improved with a calibration-transfer approach using a microwave algorithm sensitive to vertical cloud structure

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Precipitation estimation over Sardinia from satellite infrared data

Cited by 15 publications

References 16 publications

Comparison of three infrared satellite techniques to estimate accumulated rainfall over the Iberian Peninsula

Comparison of three infrared satellite techniques to estimate accumulated rainfall over the Iberian Peninsula

IR‐based satellite and radar rainfall estimates of convective storms over northern Italy

Investigating a SSM/I microwave algorithm to calibrate Meteosat infrared instantaneous rainrate estimates

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