A5085168250- Meteorological Phenomena and Simulations
- Precipitation Measurement and Analysis
- Soil Moisture and Remote Sensing
- Cryospheric studies and observations
- Climate variability and models
- Atmospheric aerosols and clouds
- Tropical and Extratropical Cyclones Research
- Ocean Waves and Remote Sensing
- Ionosphere and magnetosphere dynamics
- Lightning and Electromagnetic Phenomena
- Geophysics and Gravity Measurements
- Atmospheric and Environmental Gas Dynamics
- Fire effects on ecosystems
- Solar Radiation and Photovoltaics
- GNSS positioning and interference
- Plant Water Relations and Carbon Dynamics
- Atmospheric Ozone and Climate
- Atmospheric chemistry and aerosols
- Remote Sensing in Agriculture
- Radio Wave Propagation Studies
- Arctic and Antarctic ice dynamics
- Hydrology and Drought Analysis
- Icing and De-icing Technologies
- Philippine History and Culture
- Coastal and Marine Dynamics
Institute of Atmospheric Sciences and Climate
2015-2024
National Research Council
2015-2024
Agenzia Regionale Prevenzione e Ambiente della Regione Emilia-Romagna
2021
Sapienza University of Rome
2018
National Academies of Sciences, Engineering, and Medicine
2011-2013
Abstract. The purpose of this study is to describe a new algorithm based on neural network approach (Passive microwave Neural Precipitation Retrieval – PNPR) for precipitation rate estimation from AMSU/MHS observations, and provide examples its performance specific case studies over the European/Mediterranean area. optimally exploits different characteristics Advanced Microwave Sounding Unit-A (AMSU-A) Humidity Sounder (MHS) channels, their combinations, including brightness temperature (TB)...
Abstract. The EUMETSAT Satellite Application Facility on Support to Operational Hydrology and Water Management (H-SAF) was established by the Council 3 July 2005, starting activity 1 September 2005. Italian Meteorological Service serves as Leading Entity behalf of twelve European member countries. H-SAF products include precipitation, soil moisture snow parameters. Some are based only satellite observations, while other assimilation measurements/products into numerical models. In addition...
The sensitivity of Global Precipitation Measurement (GPM) Microwave Imager (GMI) high-frequency channels to snowfall at higher latitudes (around 60°N/S) is investigated using coincident CloudSat observations. 166 GHz channel highlighted throughout the study due its ice scattering and polarization information. analysis three case studies evidences important combined role total precipitable water (TPW), supercooled cloud water, background surface composition on brightness temperature (TB)...
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. Here we introduce the first version of Global Interpolated RAinfall Estimation (GIRAFE v1), dedicated global climate data record for precipitation by Satellite Application Facility on Climate Monitoring (CM SAF) European Organisation Exploitation Meteorological Satellites (EUMETSAT). GIRAFE is based rate estimates obtained from observations a variety passive microwave radiometers onboard low-Earth orbit satellites and related retrieval algorithms frequent highly resolved infrared...
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...
This study shows how satellite-based passive and active microwave (MW) sensors can be used in conjunction with high-resolution Numerical Weather Prediction (NWP) simulations to provide insights of the precipitation structure tropical-like cyclone (TLC) Numa, which occurred on 15–19 November 2017. The goal paper is characterize monitor at different stages its evolution from development TLC phase, throughout storm transition over Mediterranean Sea. Observations by NASA/JAXA Global...
A new cloud dynamics and radiation database (CDRD) precipitation retrieval algorithm for satellite passive microwave (PMW) radiometer measurements has been developed. It represents a modification to an improvement upon the conventional (CRD) algorithms, which have always prone ambiguity. This part 2 paper of series describes methodology modeling verification analysis involved in creating synthetic CDRD Europe/Mediterranean basin region. is followed by proof-of-concept analysis, demonstrates...
Abstract. 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 deliver satellite products hydrological interest (precipitation, soil moisture snow parameters) over European Mediterranean region research operations users worldwide. Six precipitation algorithms concomitant are responsibility various agencies in Italy. Two these have been maximum...
Abstract. The estimation of the precipitable water vapour content (W) with high temporal and spatial resolution is great interest to both meteorological climatological studies. Several methodologies based on remote sensing techniques have been recently developed in order obtain accurate frequent measurements this atmospheric parameter. Among them, relative low cost easy deployment sun–sky radiometers, or sun photometers, operating several international networks, allowed development automatic...
This paper describes a new algorithm that is able to detect snowfall and retrieve the associated snow water path (SWP), for any surface type, using Global Precipitation Measurement (GPM) Microwave Imager (GMI). The tuned evaluated against coincident observations of Cloud Profiling Radar (CPR) onboard CloudSat. It composed three modules (i) detection, (ii) supercooled droplet detection (iii) SWP retrieval. takes into account environmental conditions does not rely on classification scheme....
Abstract In this study, we present a new module for the Snow retrievaL ALgorithm fOr gMi (SLALOM) that retrieves surface snowfall rate using Global Precipitation Measurement (GPM) Microwave Imager measurements together with humidity and temperature vertical profiles. This module, named Surface Snowfall Rate Module, is tuned colocated observations of Cloud Profiling Radar onboard CloudSat. Using SLALOM algorithm able to predict relative bias −13%, root‐mean‐square error 0.08 mm/hr,...
The Global Precipitation Measurement (GPM) Dual-Frequency Radar (DPR) (Ku- and Ka-band, or 14 35 GHz) provides the capability to resolve precipitation structure under moderate heavy conditions. In this manuscript, use of near-coincident observations between GPM CloudSat Profiling (CPR) (W-band, 94 are demonstrated extend representing light rain cold-season from DPR passive microwave constellation sensors. These unique triple-frequency data have opened up applications related precipitation,...
The present work exploits the satellite measurements from NASA/JAXA Global Precipitation Measurement Core Observatory (GPM-CO) active and passive microwave sensors to analyze precipitation structure of most intense Mediterranean Hurricane (Medicane) on record, named Ianos, which swept across Ionian Sea between 14 18 September 2020. Two GPM-CO overpasses, available during Ianos development tropical-like cyclone (mature) phase, are analyzed in detail. GPM Microwave Imager used carry out a...
Mediterranean hurricanes (Medicanes) are characterized by the presence of a quasi-cloud-free calm eye, spiral-like cloud bands, and strong winds around vortex center. Typically, they reach tropical-like cyclone (TLC) phase an axisymmetric warm core without frontal structures. Yet, some them not fully symmetrical, have shallow warm-core structure, weak activity. Finding clear definition potential classification Medicanes based on their initiation intensification processes, understanding role...
Abstract. The High lAtitude sNow Detection and Estimation aLgorithm for ATMS (HANDEL-ATMS) is a new machine-learning (ML)-based snowfall retrieval algorithm Advanced Technology Microwave Sounder (ATMS) observations that has been developed specifically to detect quantify high-latitude events often form in cold, dry environments produce light rates. the future European MetOp-SG offer good coverage sufficient microwave channel diversity (23 190 GHz), which allows surface radiometric properties...
In this Part 1 paper concerning a new Cloud Dynamics and Radiation Database (CDRD) algorithm, improvements in obtaining satellite retrievals of rainfall from multispectral passive microwave (PMW) radiometer measurements are obtained by transforming conventional (CRD) algorithm. The arise combining parameter constraints derived model-based dynamical-thermodynamical-hydrological (DTH) meteorological profile variables additional geographical-seasonal (GS) factors, together with PMW brightness...
Abstract. The objective of this paper is to describe the development and evaluate performance a completely new version Passive microwave Neural network Precipitation Retrieval (PNPR v2), an algorithm based on neural approach, designed retrieve instantaneous surface precipitation rate using cross-track Advanced Technology Microwave Sounder (ATMS) radiometer measurements. This algorithm, developed within EUMETSAT H-SAF program, represents evolution previous v1), for AMSU/MHS radiometers (and...
This paper describes a new rainfall rate retrieval algorithm, developed within the EUMETSAT H SAF program, based on Passive microwave Neural network Precipitation Retrieval approach (PNPR v3), designed to work with conically scanning Global Measurement (GPM) Microwave Imager (GMI). A rain/no-rain classification scheme, also NN approach, which provides different masks for minimum thresholds and degree of reliability, is described. The algorithm trained an extremely large observational...