Results 1 to 10 of about 109 (77)

The Hunga Tonga‐Hunga Ha'apai Volcanic Eruption as Seen in Satellite Microwave Observations and MiRS Temperature Retrievals

open access: yesGeophysical Research Letters, 2023
The strongest volcanic eruption since the 19th century occurred on 15 January 2022 at Hunga Tonga‐Hunga Ha'apai, generating unprecedented atmospheric waves not seen before in observations.
Yong‐Keun Lee   +3 more
doaj   +4 more sources

Development of a Machine Learning-Based Radiometric Bias Correction for NOAA’s Microwave Integrated Retrieval System (MiRS)

open access: yesRemote Sensing, 2020
We present the development of a dynamic over-ocean radiometric bias correction for the Microwave Integrated Retrieval System (MiRS) which accounts for spatial, temporal, spectral, and angular dependence of the systematic differences between observed and ...
Yan Zhou, Christopher Grassotti
doaj   +5 more sources

Warm-Season Microwave Integrated Retrieval System Precipitation Improvement Using Machine Learning Methods

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
This study compares the performance of five selected machine learning models regarding precipitation climatology during the warm season in 2022 and 2023 over the continental U.S.
Shuyan Liu   +2 more
doaj   +4 more sources

How Can Microwave Observations at 23.8 GHz Help in Acquiring Water Vapor in the Atmosphere over Land?

open access: yesRemote Sensing, 2021
Due to concerns about radio frequency interference from emerging telecommunications technology, there have been intensive discussions on the changes to the international Radio Regulations around 24 GHz at the recent World Radiocommunication Conference in
Quanhua (Mark) Liu   +3 more
doaj   +2 more sources

Intercomparison and Validation of MIRS, MSPPS, and IMS Snow Cover Products

open access: yesAdvances in Meteorology, 2020
We evaluate the agreement between automated snow products generated from satellite observations in the microwave bands within NESDIS Microwave Integrated Retrieval System (MIRS) and Microwave Surface and Precipitation Products System (MSPPS), on the one ...
Jessica Chiu   +6 more
doaj   +2 more sources

Preliminary Development and Testing of an EPS-SG Microwave Sounder Proxy Data Generator Using the NOAA Microwave Integrated Retrieval System

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
The European Organisation for the Exploitation of Meteorological Satellites currently plans to launch Meteorological Operational Satellite Second Generation A1 (Metop-SG A1) with the microwave Sounder (MWS) instrument in 2023.
Yong-Keun Lee   +6 more
doaj   +3 more sources

The NOAA Microwave Integrated Retrieval System (MiRS): Validation of Precipitation From Multiple Polar-Orbiting Satellites

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
This article describes a multisatellite validation study of precipitation from the microwave integrated retrieval system (MiRS). MiRS is a variational algorithm designed to process passive microwave measurements using a common core of retrieval software,
Shuyan Liu   +6 more
doaj   +3 more sources

In‐Depth Evaluation of MiRS Total Precipitable Water From NOAA‐20 ATMS Using Multiple Reference Data Sets

open access: yesEarth and Space Science, 2022
The National Oceanic and Atmospheric Administration (NOAA) Microwave Integrated Retrieval System (MiRS) algorithm has been producing retrieval products from NOAA‐20 Advanced Technology Microwave Sounder (ATMS) data since shortly after launch in late 2017.
Yong‐Keun Lee   +4 more
doaj   +2 more sources

A Framework for Estimating Clear-Sky Atmospheric Total Precipitable Water (TPW) from VIIRS/S-NPP

open access: yesRemote Sensing, 2019
Atmospheric water vapor content or total precipitable water (TPW) is a highly variable atmospheric constituent, yet it remains one of the meteorological parameters that is most difficult to characterize accurately.
Shugui Zhou, Jie Cheng
doaj   +2 more sources

Improvement of MiRS Sea Surface Temperature Retrievals Using a Machine Learning Approach

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
We report on the development of a machine learning approach to improving sea surface temperature (SST) retrievals based on satellite-based microwave channel measurements at frequencies higher than 23 GHz.
Shuyan Liu   +4 more
doaj   +3 more sources

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