Precipitation retrieval from spaceborne microwave radiometers based on maximum a a posteriori probability estimation

Pierdicca, Nazzareno; Marzano, Frank S.; d'Auria, G.; Basili, P.; Ciotti, P.; Mugnai, A.

doi:10.1109/36.508401

Cited by 42 publications

(35 citation statements)

References 27 publications

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“…Table 2 provides a brief summary of the attributes of the CDRD and PNPR algorithms, including descriptors pertaining to the official H-SAF algorithm version codes, H-SAF algorithm names, ISAC-Rome algorithm names, products and data sources, methodologies and finally the current status of each algorithm in terms of H-SAF nomenclature. The PR-OBS-1 algorithm represents a modified and improved methodology applied to the now conventional Cloud Radiation Database (CRD) methodology originally developed by Smith et al (1992Smith et al ( , 1994a and Mugnai et al (1993), and applied repeatedly since that time, e.g., see Pierdicca et al (1996), Bauer et al (2000Bauer et al ( , 2001Bauer et al ( , 2005, , Chen and Staelin (2003, Tassa et al (2003Tassa et al ( , 2006, Grecu et al (2004), Mugnai et al (2008) and Surussavadee and Staelin (2008a, b) as cases in point. In physical terms, the new methodology is referred to as a Cloud Dynamics and Radiation Database (CDRD) algorithm; see the series of papers by Sanò et al (2013), Casella et al (2013) and which explain Neural Network Operational the attributes of the new methodology and its performance when used in an applied retrieval setting.…”

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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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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“…A fairly realistic precipitating cloud data base has been provided by Pierdicca et al [18]. The data base contains a large number of cloud structures belonging to five different cloud typologies (classes).…”

Section: Statistical Evaluation Of Atmospheric Emission and Transmissionmentioning

confidence: 99%

“…They can be used for quantifying the scattering of the atmospheric radiation in the model function (18) used to retrieve the unknown wind speed from the polarimetric measurements. It is required to know T m and τ in some way, such as using radiosoundings, meteorological surface data or multifrequency radiometers.…”

Section: A Model Function For Correcting Atmospheric Effects In Radiomentioning

confidence: 99%

“…However, in order to be able to apply equation (14), we have used the same formula even in the presence of light precipitating clouds. To this aim, we have computed the brightness temperature T UP and T DN for a plane-parallel atmosphere in the presence of precipitating clouds by using a radiative transfer algorithm that solves for the scattering contribution by means of the discrete ordinate method as explained in [18]. It assumes all scattering particles (hydrometeors) are spherical with single scattering properties derived by Mie theory and averaged on the statistical distribution of particle size.…”

Section: Statistical Evaluation Of Atmospheric Emission and Transmissionmentioning

confidence: 99%

“…Airborne polarimetric radiometers have been designed and used for experimental activities at 14.3 GHz , at 19.3 GHz and 91.6 GHz [17,9,10]. For frequencies higher than 10 GHz the atmospheric effects due to e.m. extinction and scattering cannot be neglected, especially when in presence of clouds and rain [18]. In order to properly investigate the sensitivity of passive polarimetric response to the ocean wind field, the impact of atmospheric emission on the measured Stokes vector has to be quantified.…”

Section: Introductionmentioning

confidence: 99%

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On The Effect of Atmospheric Emission upon the Passive Microwave Polarimetric Response of an Azimuthally Anisotropic Sea Surface

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2000

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A Review of Global Precipitation Data Sets: Data Sources, Estimation, and Intercomparisons

Sun

Miao

Duan

et al. 2018

Reviews of Geophysics

1,377

871

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In this paper, we present a comprehensive review of the data sources and estimation methods of 30 currently available global precipitation data sets, including gauge‐based, satellite‐related, and reanalysis data sets. We analyzed the discrepancies between the data sets from daily to annual timescales and found large differences in both the magnitude and the variability of precipitation estimates. The magnitude of annual precipitation estimates over global land deviated by as much as 300 mm/yr among the products. Reanalysis data sets had a larger degree of variability than the other types of data sets. The degree of variability in precipitation estimates also varied by region. Large differences in annual and seasonal estimates were found in tropical oceans, complex mountain areas, northern Africa, and some high‐latitude regions. Overall, the variability associated with extreme precipitation estimates was slightly greater at lower latitudes than at higher latitudes. The reliability of precipitation data sets is mainly limited by the number and spatial coverage of surface stations, the satellite algorithms, and the data assimilation models. The inconsistencies described limit the capability of the products for climate monitoring, attribution, and model validation.

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Precipitation retrieval from spaceborne microwave radiometers based on maximum a a posteriori probability estimation

Cited by 42 publications

References 27 publications

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

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

On The Effect of Atmospheric Emission upon the Passive Microwave Polarimetric Response of an Azimuthally Anisotropic Sea Surface

A Review of Global Precipitation Data Sets: Data Sources, Estimation, and Intercomparisons

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