Active and passive remote sensing of precipitating storms during CaPE. Part II: Intercomparison of precipitation retrievals over land from AMPR radiometer and CP-2 radar

Marzano, Frank S.; Mugnai, A.; Smith, Eric A.; Xiang, Xuwu; Turk, J.; Vivekanandan, Jothiram

doi:10.1007/bf01030051

Cited by 27 publications

(12 citation statements)

References 28 publications

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“…Another consolidated technique for rainfall monitoring is the use of volume data collected by weather Doppler radar either at S or C band (e.g., Marzano et al, 1994;Borga et al, 2000). Microwave weather radars can provide a three-dimensional picture of the rainfall with an overall resolution of the order of hundreds of meters, since transverse volume resolution increases with the square of the range, while range resolution depends only on the pulse length.…”

Section: Introductionmentioning

confidence: 99%

Neural-network approach to ground-based passive microwave estimation of precipitation intensity and extinction

Marzano

Fionda

Ciotti

2006

Journal of Hydrology

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Section: Introductionmentioning

confidence: 99%

Neural-network approach to ground-based passive microwave estimation of precipitation intensity and extinction

Marzano

Fionda

Ciotti

2006

Journal of Hydrology

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“…One of the oddities of satellite precipitation retrieval algorithms over past decades is that the community of scientists involved in their development has never agreed on a calibration reference algorithm, although it is fair to say that the TRMM experiment has made some progress along those lines with the facility TRMM Precipitation Radar (PR) algorithm 2a25-v7 (Iguchi et al, 2000(Iguchi et al, , 2009) and the Combined PR -TRMM Microwave Imager (TMI) algorithm 2b31-v7 (Marzano et al, 1994Farrar, 1997;Haddad et al, , 1997). These two algorithms have often invited other algorithm developers, particularly those based on PMW radiometer measurements alone, to gauge the performance of their algorithms against the two facility algorithms, which have the advantage of using data based on active power radar signals.…”

Section: Isac-rome's H-saf Pmw Precipitation Algorithms In Trmm Eramentioning

confidence: 99%

CDRD and PNPR satellite passive microwave precipitation retrieval algorithms: EuroTRMM/EURAINSAT origins and H-SAF operations

Mugnai

Smith

Tripoli

et al. 2013

Nat. Hazards Earth Syst. Sci.

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Satellite Application Facility on Support to Operational Hydrology and Water Management (H-SAF) is a EUMETSAT (European Organisation for the Exploitation of Meteorological Satellites) program, designed to deliver satellite products of hydrological interest (precipitation, soil moisture and snow parameters) over the European and Mediterranean region to research and operations users worldwide. Six satellite precipitation algorithms and concomitant precipitation products are the responsibility of various agencies in Italy. Two of these algorithms have been designed for maximum accuracy by restricting their inputs to measurements from conical and cross-track scanning passive microwave (PMW) radiometers mounted on various low Earth orbiting satellites. They have been developed at the Italian National Research Council/Institute of Atmospheric Sciences and Climate in Rome (CNR/ISAC-Rome), and are providing operational retrievals of surface rain rate and its phase properties. Each of these algorithms is physically based, however, the first of these, referred to as the Cloud Dynamics and Radiation Database (CDRD) algorithm, uses a Bayesian-based solution solver, while the second, referred to as the PMW Neural-net Precipitation Retrieval (PNPR) algorithm, uses a neural network-based solution solver. Herein we first provide an overview of the two initial EU research and applications programs that motivated their initial development, EuroTRMM and EURAINSAT (European Satellite Rainfall Analysis and Monitoring at the Geostationary Scale), and the current H-SAF program that provides the framework for their operational use and continued development. We stress the relevance of the CDRD and PNPR algorithms and their precipitation products in helping secure the goals of H-SAF's scientific and operations agenda, the former helpful as a secondary calibration reference to other algorithms in H-SAF's complete mix of algorithms. Descriptions of the algorithms' designs are provided including a few examples of their performance. This aspect of the development of the two algorithms is placed in the context of what we refer to as the TRMM era, which is the era denoting the active and ongoing period of the Tropical Rainfall Measuring Mission (TRMM) that helped inspire their original development. In 2015, the ISAC-Rome precipitation algorithms will undergo a transformation beginning with the upcoming Global Precipitation Measurement (GPM) mission, particularly the GPM Core Satellite technologies. A few years afterward, the first pair of imaging and sounding Meteosat Third Generation (MTG) satellites will be launched, providing additional technological advances. Various of the opportunities presented by the GPM Core and MTG satellites for improving the current CDRD and PNPR precipitation retrieval algorithms, as well as extending their product capability, are discussed

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“…The algorithm, hereafter referred to as IFA-SAP (after the Institute of Atmospheric Physics of the Italian National Council of Research at Frascati and the University of Rome 'La Sapienza'), has already been applied to spaceborne and airborne passive microwave radiometer data (Allam et al, 1993, andMarzano et al, 1994) and to the two storm data sets used in the present study.…”

Section: -1 -mentioning

confidence: 99%

“…The studies of Spencer et al. (1989), Smith & Mugnai (1989), Mugnai et al (1990), and Ferraro et al (1994) have addressed the issue of precipitation contrast over a land background, and have shown through observations and modelling calculations that depending on the nature of the ice content in a column, rain is detectable and quantifiable. Notably, of the 20 algorithms submitted to the PIP-2 project, 15 are capable of retrieving rainrates over a land background.…”

Section: -1 -mentioning

confidence: 99%

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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Active and passive remote sensing of precipitating storms during CaPE. Part II: Intercomparison of precipitation retrievals over land from AMPR radiometer and CP-2 radar

Cited by 27 publications

References 28 publications

Neural-network approach to ground-based passive microwave estimation of precipitation intensity and extinction

Neural-network approach to ground-based passive microwave estimation of precipitation intensity and extinction

CDRD and PNPR satellite passive microwave precipitation retrieval algorithms: EuroTRMM/EURAINSAT origins and H-SAF operations

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

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