Next Article in Journal
Extraction of Spatial and Temporal Patterns of Concentrations of Chlorophyll-a and Total Suspended Matter in Poyang Lake Using GF-1 Satellite Data
Previous Article in Journal
A Novel Approach for Estimation of Above-Ground Biomass of Sugar Beet Based on Wavelength Selection and Optimized Support Vector Machine
Open AccessFeature PaperArticle

Hailstorm Detection by Satellite Microwave Radiometers

1
CNR-ISAC, via Gobetti 101, 40129 Bologna, Italy
2
NOAA-NESDIS, University Research Court, College Park, MD 20740, USA
3
Earth System Science Interdisciplinary Center (ESSIC), University of Maryland, Maryland, MD 20742, USA
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(4), 621; https://doi.org/10.3390/rs12040621
Received: 13 December 2019 / Revised: 6 February 2020 / Accepted: 11 February 2020 / Published: 13 February 2020
(This article belongs to the Section Remote Sensing in Geology, Geomorphology and Hydrology)
Passive microwave measurements from satellites have been used to identify the signature of hail in intense thunderstorms. The scattering signal of hailstones is typically observed as a strong depression of upwelling brightness temperatures from the cloud to the satellite. Although the relation between scattering signal and hail diameter is often assumed linear, in this work a logistic model is used which seems to well approximate the complexity of the radiation extinction process by varying the hail cross-section. A novel probability-based method for hail detection originally conceived for AMSU-B/MHS and now extended to ATMS, GMI, and SSMIS, is presented. The measurements of AMSU-B/MHS were analyzed during selected hailstorms over Europe, South America and the US to quantify the extinction of radiation due to the hailstones and large ice aggregates. To this aim, a probabilistic growth model has been developed. The validation analysis based on 12-year surface hail observations over the US (NOAA official reports) collocated with AMSU-B overpasses have demonstrated the high performance of the hail detection method in distinguishing between moderate and severe hailstorms, fitting the seasonality of hail patterns. The flexibility of the method allowed its experimental application to other microwave radiometers equipped with MHS-like frequency channels revealing a high level of portability. View Full-Text
Keywords: passive microwaves; satellite; hail passive microwaves; satellite; hail
Show Figures

Graphical abstract

MDPI and ACS Style

Laviola, S.; Levizzani, V.; Ferraro, R.R.; Beauchamp, J. Hailstorm Detection by Satellite Microwave Radiometers. Remote Sens. 2020, 12, 621. https://doi.org/10.3390/rs12040621

AMA Style

Laviola S, Levizzani V, Ferraro RR, Beauchamp J. Hailstorm Detection by Satellite Microwave Radiometers. Remote Sensing. 2020; 12(4):621. https://doi.org/10.3390/rs12040621

Chicago/Turabian Style

Laviola, Sante; Levizzani, Vincenzo; Ferraro, Ralph R.; Beauchamp, James. 2020. "Hailstorm Detection by Satellite Microwave Radiometers" Remote Sens. 12, no. 4: 621. https://doi.org/10.3390/rs12040621

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop