Bayesian algorithm for microwave-based precipitation retrieval: description and application to TMI measurements over ocean

Michele, Sabatino Di; Tassa, Alessandra; Mugnai, A.; Marzano, Frank S.; Bauer, Péter; Baptista, J. P. V. Poiares

doi:10.1109/tgrs.2005.844726

Cited by 34 publications

(17 citation statements)

References 37 publications

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“…Many algorithms have been proposed for estimating the rainfall by using passive satellite microwave data such as the SSM/I data (Spencer et al 1989;Grody 1991;Wentz 1990;Berg and Chase 1992;Prabhakara et al 1992;Kummerow and Giglio 1994;Ferriday and Avery 1994;Ferraro and Marks 1995;Ferraro 1997), TRMM Microwave Imager data (Evans et al 1995;Olson et al 1996;Lofat et al 2004;DiMichele et al 2005;Chiu and Petty 2006;Lang et al 2006;Grecu and Olson 2006), Advanced Microwave Sounding Unit data (Weng et al 2003;Vila et al 2007), and Advanced Microwave Scanning Radiometer for the Earth Observing System data (Turk and Miller 2005). The third-generation operational SSM/I rainfall retrieval algorithm, developed by the National Oceanic and Atmospheric Administration/National Environmental Satellite, Data and Information System (NOAA/NESDIS) has remained unchanged for several years.…”

Section: Methodsmentioning

confidence: 99%

Accumulated Rainfall Forecast of Typhoon Morakot (2009) in Taiwan Using Satellite Data

Liu

Lin

et al. 2010

Journal of the Meteorological Society of Japan

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Although typhoon forecasting has been improved notably over the years, it remains a di‰cult challenge to make timely and accurate rainfall forecasts, which is crucial to saving lives and reducing damage. Under the assumption that a proportional relationship exists between the accumulated rainfall of a typhoon hitting Taiwan and climatological accumulated rainfall, the Rainfall Potential Analog Forecasting (RaPAF) technique is proposed for predicting the accumulated rainfall distribution when a typhoon makes landfall in Taiwan by an analog forecasting technique. The RaPAF is a combined method involving an operational SSM/I rainfall retrieval algorithm, the tropical rainfall potential technique, and an empirical relationship of precipitation associated with typhoon. In addition, The RaPAF needs information on forecast of typhoon track as an input. In the case study of Typhoon Morakot (2009), it is proven that the method not only provided a more accurate accumulated rainfall distribution prediction and that the probable mapping of the maximum precipitation areas was also close to the actual observations. The calculations involved were easy and quick to implement, enabling it to serve as a viable tool for producing accumulated rainfall forecasts and potential damage assessments during di¤erent stages after typhoon genesis. The RaPAF technique may be useful for accumulated rainfall prediction of typhoon.

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Section: Methodsmentioning

confidence: 99%

Accumulated Rainfall Forecast of Typhoon Morakot (2009) in Taiwan Using Satellite Data

Liu

Lin

et al. 2010

Journal of the Meteorological Society of Japan

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“…The precipitation retrieval method -BAMPR -is characterized by a detailed description of the estimation uncertainties, a careful coupling of the forward and inverse problem and a quantitative evaluation of the representativeness of the cloud-radiation database (Mugnai et al, 2001;Di Michele et al, 2003, 2005. The solution profiles were derived by using an iterative Bayesian method based on weighting different database profiles according to the proximity of measured and modeled TB's and on a priori probabilities of occurrence of given profile structures.…”

Section: Precipitation Retrieval Algorithmmentioning

confidence: 99%

On the potential of sub-mm passive MW observations from geostationary satellites to retrieve heavy precipitation over the Mediterranean Area

Pinori¹,

Baordo²,

Medaglia³

et al. 2006

Adv. Geosci.

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Abstract. The general interest in the potential use of the mm and sub-mm frequencies up to 425 GHz resolution from geostationary orbit is increasing due to the fact that the frequent time sampling and the comparable spatial resolution relative to the "classical" (≤89 GHz) microwave frequencies would allow the monitoring of precipitating intense events for the assimilation of rain in now-casting weather prediction models.In this paper, we use the simulation of a heavy precipitating event in front of the coast of Crete island (Greece) performed by the University of Wisconsin -Non-hydrostatic Modeling System (UW-NMS) cloud resolving model in conjunction with a 3D-adjusted plane parallel radiative transfer model to simulate the upwelling brightness temperatures (TB's) at mm and sub-mm frequencies. To study the potential use of high frequencies, we first analyze the relationships of the simulated TB's with the microphysical properties of the UW-NMS simulated precipitating clouds, and then explore the capability of a Bayesian algorithm for the retrieval of surface rain rate, rain and ice water paths at such frequencies.

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“…It uses a cloud model procedure derived from microwave spaceborne radiometry (Marzano et al, 1999a, b;Di Michele et al, 2005) and cloud-resolving microphysical 3-D outputs. For the radiative signature generation the RTE model uses spherical-shape parameterized Particle Size Distribution (PSD) with mixed-phase melting layer, Lambertian and Fresnel surface mode, microwave bands range 5-180 GHz and elevation angle range 0-90 • .…”

Section: Rte Multiple-scattering Modelmentioning

confidence: 99%

“…This mapping is easily obtained in clear sky or non rainy conditions (Faccani et al, 2005 1 ), but it becomes complex in rainfall conditions (Amerault and Zou, 2003). The computation of the atmospheric microwave radiance in cloudy and rainy conditions is a critical task for radiative transfer models, as it has to include multiple scattering effects (Marzano et al, 1999a(Marzano et al, , 1999bDi Michele et al, 2005). To accurately compute T B in previous conditions, it is necessary to use a hydrometeor profiles such as liquid water droplets, raindrops, ice crystals, snow and graupel particles.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of radiative transfer schemes for mesoscale model data assimilation: a case study

et al. 2006

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Abstract. The assimilation of Special Sensor Microwave Imager (SSM/I) data into the Mesoscale Model 5 (MM5) allows for improving the weather forecast. However the results suggested an update the Radiative Transfer Equation (RTE) within the three-dimensional variational (3DVAR) algorithm which is tailored for non rainy conditions only. To this purpose, a new RTE algorithm is tested, in order to account for radiometric response in rainy regions. The new brightness temperatures (T B ) are estimated by using hydrometeor profiles from the MM5 mesoscale model, running with two different microphysical parameterizations. The goodness of the results is assessed by comparing the new T B with those of the original RTE algorithm in the 3DVAR code and the SSM/I observed data. The results confirm a better reliability of the new RTE compared to the old one.

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Bayesian algorithm for microwave-based precipitation retrieval: description and application to TMI measurements over ocean

Cited by 34 publications

References 37 publications

Accumulated Rainfall Forecast of Typhoon Morakot (2009) in Taiwan Using Satellite Data

Accumulated Rainfall Forecast of Typhoon Morakot (2009) in Taiwan Using Satellite Data

On the potential of sub-mm passive MW observations from geostationary satellites to retrieve heavy precipitation over the Mediterranean Area

Evaluation of radiative transfer schemes for mesoscale model data assimilation: a case study

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