Vertical Air Motion Retrieval from Frequency-Modulated Continuous-Wave-Radar Rain Measurements

Vertically pointing S-band Doppler radars measure reflectivity-velocity spectra, where the falling velocity of raindrops appears as a shift along the velocity axis. However, in convective rain scenarios, vertical air motion (VAM) introduces errors into radar-derived products, including drop size distribution, rain rate, and reflectivity factor. This study presents an enhanced forward-model retrieval method for estimating VAM velocity and retrieving these radar products. The forward estimator employs a parameterized Gamma distribution and an unknown VAM velocity to estimate the radar-observed aliased reflectivity-velocity profile. Building on previous work by the authors, this paper introduces a mathematical formulation for the aliased radar reflectivity along with first application of the method to a real measurement case from VORTEX-SE 2017 campaign.

Authors

Institutions

Publication Details

Published
2025-08-03
DOI
https://doi.org/10.1109/igarss55030.2025.11369476
Primary Topic
Precipitation Measurement and Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Vertical Air Motion Retrieval from Frequency-Modulated Continuous-Wave-Radar Rain Measurements

Andreu Salcedo-Bosch, A. García-García, R. L. Tanamachi, S. J. Frasier et al.
Precipitation Measurement and Analysis
article

Vertical Air Motion Retrieval from Frequency-Modulated Continuous-Wave-Radar Rain Measurements

Andreu Salcedo-Bosch, A. García-García, R. L. Tanamachi, S. J. Frasier, D. T. Dawson, C. López-Martínez
article en

Abstract

Vertically pointing S-band Doppler radars measure reflectivity-velocity spectra, where the falling velocity of raindrops appears as a shift along the velocity axis. However, in convective rain scenarios, vertical air motion (VAM) introduces errors into radar-derived products, including drop size distribution, rain rate, and reflectivity factor. This study presents an enhanced forward-model retrieval method for estimating VAM velocity and retrieving these radar products. The forward estimator employs a parameterized Gamma distribution and an unknown VAM velocity to estimate the radar-observed aliased reflectivity-velocity profile. Building on previous work by the authors, this paper introduces a mathematical formulation for the aliased radar reflectivity along with first application of the method to a real measurement case from VORTEX-SE 2017 campaign.

Purdue University West Lafayette (US), University of Massachusetts Amherst (US), CNR-IMIOT – Consiglio Nazionale delle Ricerche - Istituto di Metodologie Integrate per l’Osservazione della Terra (IT), Universitat Politècnica de Catalunya (ES)
Sustainable cities and communities
Openalex Percentile: Top 29%
Precipitation Measurement and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Vertical Air Motion Retrieval from Frequency-Modulated Continuous-Wave-Radar Rain Measurements — Andreu Salcedo-Bosch, A. García-García, et al. · (2025) | TGRS Research Map | TGRS