A5064157096- Meteorological Phenomena and Simulations
- Precipitation Measurement and Analysis
- Soil Moisture and Remote Sensing
- Climate variability and models
- Atmospheric aerosols and clouds
- Cryospheric studies and observations
- Tropical and Extratropical Cyclones Research
- Geophysical Methods and Applications
- Radio Wave Propagation Studies
- Landslides and related hazards
- Geological and Geochemical Analysis
- Geophysics and Gravity Measurements
- Geological Modeling and Analysis
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Flood Risk Assessment and Management
- Atmospheric Ozone and Climate
- Image Processing and 3D Reconstruction
- Wind and Air Flow Studies
- GNSS positioning and interference
- Astro and Planetary Science
- Geotourism and Geoheritage Conservation
- Soil Geostatistics and Mapping
- Science and Climate Studies
- Energy and Environmental Systems
- Ocean Waves and Remote Sensing
Dipartimento della Protezione Civile
2015-2024
Presidenza Del Consiglio Dei Ministri
2022
National Research Council
2018
Goddard Space Flight Center
2018
University of Maryland, Baltimore County
2018
Institute of Atmospheric Sciences and Climate
2018
National Academies of Sciences, Engineering, and Medicine
2018
University of Ferrara
2018
University of Bologna
2018
Sapienza University of Rome
2015
Abstract Radar-rainfall estimation is a complex process that involves several error sources, some of which are related to the environmental context. The presence orographic obstacles heavily affects quality retrieved radar products. In relatively flat terrain conditions, dual-polarization capability has been proven either increase data or improve rainfall estimate. potential benefit using polarimetric techniques for precipitation retrieval evaluated here coming from two systems operating in...
Volcanic activity is observed worldwide with a variety of ground and space-based remote sensing instruments, each advantages drawbacks. No single system can give comprehensive description eruptive activity, so, multi-sensor approach required. This work integrates infrared microwave volcanic ash retrievals obtained from the geostationary Meteosat Second Generation (MSG)-Spinning Enhanced Visible Infrared Imager (SEVIRI), polar-orbiting Aqua-MODIS ground-based weather radar. The expected...
Abstract The Ka–Ku Dual-Frequency Precipitation Radar (DPR) and the Microwave Imager on board Global Measurement (GPM) mission core satellite have been collecting data for more than 3 years, providing precipitation products over globe, including oceans remote areas where ground-based measurements are not available. main objective of this work is to validate GPM-DPR a key climatic region with complex orography such as Italian territory. performances DPR rate evaluated an 18-month period (July...
The potential of ground-based microwave weather radar systems for volcanic ash cloud detection and quantitative retrieval is evaluated. relationship between reflectivity factor, concentration, fall rate statistically derived various eruption regimes sizes by applying a radar-reflectivity microphysical model. To quantitatively evaluate the detectability radars, sensitivity analysis carried out simulating synthetic clouds varying concentration size as function range. Radar specifications are...
A model-based fuzzy-logic method for hydrometeor classification using C-band polarimetric radar data is presented and discussed. Membership functions of the algorithm are designed best fitting simulated signatures at C-band. Such derived ten supervised classes by means a fully scattering model. The Fuzzy-logic Radar Algorithm Hydrometeor Classification (FRAHCC) to use relatively small set observables, i.e., copolar reflectivity differential reflectivity, but version based on specific phase...
Microphysical and dynamical features of volcanic tephra due to Plinian sub-Plinian eruptions can be quantitatively monitored by using ground-based microwave weather radars. The methodological rationale unique potential this remote-sensing technique are illustrated discussed. Volume data, acquired radars, processed automatically classify estimate ash particle concentration fallout. physical– statistical retrieval algorithm is based on a backscattering microphysical model fine, coarse, lapilli...
Abstract The mass discharge rate is a key parameter for initializing volcanic ash dispersal models. Commonly used empirical approaches derive the by plume height as estimated remote sensors. A novel approach based on combination of weather radar observations and thermal camera imagery presented here. It concentration estimation retrieval vertical exit velocities explosive cloud using measurements. applied methodology taken from revision previously work. Based analysis four eruption events...
Precipitation retrievals exploiting the available passive microwave (PMW) observations by cross-track and conically scanning satellite-borne radiometers in Global Measurement (GPM) mission era are used to monitor characterize heavy precipitation events that occurred during Fall 2014 Italy. Different physically based PMW retrieval algorithms used: Cloud Dynamics Radiation Database (CDRD) Passive Neural network Retrieval (PNPR), operationally European Organisation for Exploitation of...
Abstract. In this paper, we study the impact of lightning and radar reflectivity factor data assimilation on precipitation VSF (very short-term forecast, 3 h in study) for two severe weather events that occurred Italy. The first case refers to a moderate localized rainfall over central Italy 16 September 2017. second 9 10 2017 was very intense caused damages several geographical areas, especially Livorno (Tuscany) where nine people died. missed by operational forecasts, including performed...
In this paper, a Bayesian statistical approach for supervised classification and estimation of hydrometeors, using C-band polarimetric radar, is presented discussed. The Radar Algorithm Hydrometeor Classification at (BRAHCC) by backscattering microphysical model, aimed representing ten different hydrometeor classes in water, ice, mixed phase. expected error budget evaluated means contingency tables on the basis radar noisy attenuated synthetic data. Its accuracy better than that obtained...
Weather radar retrieval, in terms of detection, estimation, and sensitivity, volcanic ash plumes is dependent not only on the system specifications but also range cloud distribution. The minimum detectable signal can be increased, for a given plume scenario, by decreasing observation increasing operational frequency exploiting possible polarimetric capabilities. For short-range observations proximity volcano vent, compact portable with relatively low power transmitter may evaluated as...
Abstract. The development phase (DP) of the EUMETSAT Satellite Application Facility for Support to Operational Hydrology and Water Management (H-SAF) led design implementation several precipitation products, after 5 yr (2005–2010) activity. Presently, five estimation algorithms based on data from passive microwave infrared sensors, board geostationary sun-synchronous platforms, function in operational mode at H-SAF hosting institute provide near real-time products different spatial temporal...
Ground-based microwave radar systems can have a valuable role in volcanic ash cloud monitoring as evidenced by available imagery. Their use for detection and quantitative retrieval has been so far not fully investigated. In order to do this, forward electromagnetic model is set up examined taking into account various operating frequencies such S-, C-, X-, Ka-bands. A dielectric microphysical characterization of vesicular carried out. Particle size-distribution (PSD) functions are derived...
Hydrometeorological and radio propagation applications can benefit from the capability to model time evolution of raindrop size distribution (RSD). A new stochastic vector autoregressive semi-Markov is proposed randomly synthesize (generate) temporal series three driving parameters a normalized gamma RSD. Rainfall intermittence reproduced through discrete process, modeled disdrometer measurements using two-state analytical statistics rain dry period duration. The overall set up by means...
Abstract One of the main goals National Aeronautics and Space Administration (NASA) Global Precipitation Measurement (GPM) mission is to retrieve parameters raindrop size distribution (DSD) globally. As a standard product Dual-Frequency Radar (DPR) on board GPM Core Observatory satellite, mass-weighted mean diameter Dm normalized intercept parameter Nw are estimated in three dimensions at resolution radar. These two three-parameter gamma model DSD adopted by algorithms. This study...
Abstract. Recent explosive volcanic eruptions recorded worldwide (e.g. Hekla in 2000, Eyjafjallajökull 2010, Cordón-Caulle 2011) demonstrated the necessity for a better assessment of eruption source parameters (ESPs; e.g. column height, mass rate, duration, and total grain-size distribution – TGSD) to reduce uncertainties associated with far-travelling airborne ash mass. Volcanological studies started integrate observations use more realistic numerical inputs, crucial taking robust risk...
Abstract Rain path attenuation correction is a challenging task for quantitative use of weather radar measurements at frequencies higher than S band. The proportionality relationship between specific αhh (specific differential αdp) and phase Kdp the basis simple path-integrated using Φdp. However, coefficients are known to be dependent upon temperature, on one hand, shape raindrop size distribution, other hand. To solve this problem, Bayesian classification scheme proposed empirically find...
Abstract The differential phase (ΦDP) measured by polarimetric radars is recognized to be a very good indicator of the path integrated rain. Moreover, if linear relationship assumed between specific (KDP) and attenuation (AH) (ADP), then can easily corrected. coefficients proportionality, γH γDP, are, however, known dependent in rain upon drop temperature, shapes, size distribution, presence large drops causing Mie scattering. In this paper, authors extensively apply physically based method,...
On 10 July 2019, a giant hail-bearing supercell hit the Adriatic coast of central Italy. Hailstones with maximum diameter 14 cm were reported in city Pescara between 10:00 and 11:00 UTC. In this work, main synoptic mesoscale features, responsible for triggering development supercell, are analyzed using WRF model. The intrusion Bora wind over northern was relevant two reasons: on one side, arrival low-level cold air produced an uplift pre-existing warm favored convection; other strong...
Operating a meteorological radar is generally challenging task when in presence of significant beam blockage as complex orography. Apart from enhanced ground clutter, mountainous obstructions the can significantly reduce visibility and, thus, its monitoring capabilities. Self-consistent adaptive techniques to reconstruct vertical profiles reflectivity (VPR) and near-surface rain-rate fields high-elevation bins are here proposed, compared, tested for ranges up 60 km. The methodology based on...
The raindrop size distribution (RSD) is a critical factor in estimating rain intensity using advanced dual-polarized weather radars. A new neural-network algorithm to estimate the RSD from S-band radar measurements presented. corresponding rates are then computed assuming commonly used diameter speed relationship. Numerical simulations investigate efficiency and accuracy of this method. stochastic model based on disdrometer generate realistic range profiles parameters, while T-matrix...
Abstract A procedure for the estimation of rainfall rate, capitalizing on a radar-based raindrop size distribution (RSD) parameter retrieval and neural network (NN) inversion techniques, is validated using an extensive quality-controlled archive. The RSD algorithm utilizes polarimetric variables measured by prototype Weather Surveillance Radar-1988 Doppler (WSR-88D) in Norman, Oklahoma (KOUN), through ad hoc regularized method. Evaluation from NN-based method accomplished large radar data...