Detection of Atmospheric Blocking and Northeast China Cold Vortex Using Satellite Microwave Temperature-Sounding Observations

The occurrence of atmospheric blocking signifies a remarkable transition from zonal to meridional circulation at 500 hPa. Its cut-off low may evolve into a Northeast China Cold Vortex (NCCV), causing extreme weather such as heavy rainfall and hailstorms. In this study, satellite-based microwave temperature-sounding data are used for tracking NCCV movements and for detecting blocking occurrences. The NCCV movement tracks are identified by the warm centers of brightness temperature measurements of the sounding channel whose peak weighting function is located at 200 hPa. For the detection of blocking, a linear regression is firstly established between 500-hPa geopotential height and AMSU-A channels 4-8; and the blocking index is then calculated for the identification of blocking. Here, the block index is calculated as the difference in 500-hPa geopotential height between 40° and 60°N. Time-longitude plots of the blocking index, together with sequences of 500-hPa height charts, for two blocking events that occurred in May 2023 and August 2020, compared well with those obtained by the ERA5 global reanalysis. The cut-off low of both blockings developed into NCCVs. This enables operational forecasters to directly and conveniently extract geopotential height information from satellite raw measurements of brightness temperature for weather diagnosis and forecasting. It also provides novel methodologies for analyzing of atmospheric large-scale circulation in recent decades, given more than 26 years of satellite-based microwave temperaturesounding data globally.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Geoscience and Remote Sensing
Published
2025-01-01
DOI
https://doi.org/10.1109/tgrs.2025.3594353
Primary Topic
Meteorological Phenomena and Simulations
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Detection of Atmospheric Blocking and Northeast China Cold Vortex Using Satellite Microwave Temperature-Sounding Observations

Yaya Mao, Xiaolei Zou
IEEE Transactions on Geoscience and Remote Sensing
Meteorological Phenomena and Simulations
article

Detection of Atmospheric Blocking and Northeast China Cold Vortex Using Satellite Microwave Temperature-Sounding Observations

Yaya Mao, Xiaolei Zou
article en

Abstract

The occurrence of atmospheric blocking signifies a remarkable transition from zonal to meridional circulation at 500 hPa. Its cut-off low may evolve into a Northeast China Cold Vortex (NCCV), causing extreme weather such as heavy rainfall and hailstorms. In this study, satellite-based microwave temperature-sounding data are used for tracking NCCV movements and for detecting blocking occurrences. The NCCV movement tracks are identified by the warm centers of brightness temperature measurements of the sounding channel whose peak weighting function is located at 200 hPa. For the detection of blocking, a linear regression is firstly established between 500-hPa geopotential height and AMSU-A channels 4-8; and the blocking index is then calculated for the identification of blocking. Here, the block index is calculated as the difference in 500-hPa geopotential height between 40° and 60°N. Time-longitude plots of the blocking index, together with sequences of 500-hPa height charts, for two blocking events that occurred in May 2023 and August 2020, compared well with those obtained by the ERA5 global reanalysis. The cut-off low of both blockings developed into NCCVs. This enables operational forecasters to directly and conveniently extract geopotential height information from satellite raw measurements of brightness temperature for weather diagnosis and forecasting. It also provides novel methodologies for analyzing of atmospheric large-scale circulation in recent decades, given more than 26 years of satellite-based microwave temperaturesounding data globally.

IEEE Transactions on Geoscience and Remote SensingVol. 63
Nanjing University of Information Science and Technology (CN)
Ministry of Science and Technology, Croatia
Climate action
Openalex Percentile: Top 76%
Meteorological Phenomena and Simulations
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.