Results 21 to 30 of about 11,790 (229)

A New Method for Hail Detection from the GPM Constellation: A Prospect for a Global Hailstorm Climatology

open access: yesRemote Sensing, 2020
A new method for detecting hailstorms by using all the MHS-like (MHS, Microwave Humidity Sounder) satellite radiometers currently in orbit is presented.
Sante Laviola   +4 more
doaj   +1 more source

Impact of Assimilating Ground-Based Microwave Radiometer Data on the Precipitation Bifurcation Forecast: A Case Study in Beijing

open access: yesAtmosphere, 2021
In this study, the temperature and relative humidity profiles retrieved from five ground-based microwave radiometers in Beijing were assimilated into the rapid-refresh multi-scale analysis and prediction system-short term (RMAPS-ST).
Yajie Qi   +5 more
doaj   +1 more source

Sounding Data from Ground-Based Microwave Radiometers for a Hailstorm Case: Analyzing Spatiotemporal Differences and Initializing an Idealized Model for Prediction

open access: yesAtmosphere, 2022
Atmospheric physical sounding data from three ground-based microwave radiometers located in Xi’an were analyzed to explore the temporal and spatial differences of a hailstorm event and were initialized into an idealized Weather Research and Forecasting ...
Rongjun Ma, Xiaofei Li
doaj   +1 more source

Design and Analysis of CubeSat Microwave Radiometer Constellations to Observe Temporal Variability of the Atmosphere

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Passive microwave satellite observations provide critical information for global forecast models, particularly in cloudy and/or precipitating conditions.
Yuriy V. Goncharenko   +4 more
doaj   +1 more source

Hailstorm Detection by Satellite Microwave Radiometers

open access: yesRemote Sensing, 2020
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
Sante Laviola   +3 more
doaj   +1 more source

Field Observations During the Third Microwave Water and Energy Balance Experiment (MicroWEX-3): June 16 - December 21, 2004

open access: yesEDIS, 2019
The goal of MicroWEX-3 was to understand the land-atmosphere interactions during the growing season of cotton, and their effect on observed microwave brightness signatures at 6.7 GHz, matching that of the two satellite-based microwave radiometers (AMSR ...
Tzu-yun Lin   +7 more
doaj   +5 more sources

Tropical Cyclone Winds from WindSat, AMSR2, and SMAP: Comparison with the HWRF Model

open access: yesRemote Sensing, 2021
A new data set of tropical cyclone winds (‘TC-winds’) through rain as observed by the WindSat and AMSR2 microwave radiometers has been developed by making use of a linear combination of C- and X-band frequency channels.
Andrew Manaster   +2 more
doaj   +1 more source

Development of a fast radiative transfer model for ground-based microwave radiometers (ARMS-gb v1.0): validation and comparison to RTTOV-gb [PDF]

open access: yesGeoscientific Model Development
This study proposes a fast radiative transfer model, the Advanced Radiative Transfer Modeling System – ground-based (ARMS-gb), designed to simulate brightness temperatures observed by ground-based microwave radiometers.
Y.-N. Shi   +12 more
doaj   +1 more source

A review of RFI mitigation techniques in microwave radiometry [PDF]

open access: yes, 2019
Radio frequency interference (RFI) is a well-known problem in microwave radiometry (MWR). Any undesired signal overlapping the MWR protected frequency bands introduces a bias in the measurements, which can corrupt the retrieved geophysical parameters ...
Camps Carmona, Adriano José   +2 more
core   +2 more sources

A New Passive Microwave Tool for Operational Forest Fires Detection: A Case Study of Siberia in 2019

open access: yesRemote Sensing, 2020
The purpose of this paper is to present a new method for early detection of forest fires, especially in forest zones prone to fires using microwave remote sensing and information-modeling tools.
Costas A. Varotsos   +2 more
doaj   +1 more source

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