Impact of Assimilating High-Resolution Atmospheric Motion Vectors on Convective Scale Short-Term Forecasts: 2. Assimilation Experiments of GOES-16 Satellite Derived Winds

Zhao, Juan; Gao, Jidong; Jones, Thomas A.; Hu, Junjun

doi:10.1029/2021MS002486

i

Impact of Assimilating High-Resolution Atmospheric Motion Vectors on Convective Scale Short-Term Forecasts: 2. Assimilation Experiments of GOES-16 Satellite Derived Winds

2021
By Zhao, Juan ; Gao, Jidong ; Jones, Thomas A. ; ...

Details

Journal Title:

Journal of Advances in Modeling Earth Systems
Personal Author:

Zhao, Juan ; Gao, Jidong ; Jones, Thomas A. ; Hu, Junjun
NOAA Program & Office:

CIWRO (Cooperative Institute for Severe and High-Impact Weather Research and Operations) ; OAR (Oceanic and Atmospheric Research) ; NSSL (National Severe Storms Laboratory)
Description:

This research investigates to what extent the high-spatiotemporal-resolution Atmospheric Motion Vector (AMV) product derived from the new-generation Geostationary Operational Environmental Satellites-Series R can benefit convective-scale data assimilation (DA) and forecasts of potential high impact weather events.
Keywords:

Atmospheric Motion Vectors GOES-R Numerical Weather Prediction OSSE
Source:

Journal of Advances in Modeling Earth Systems, 13(10), e2021MS002486
DOI:

https://doi.org/10.1029/2021MS002486
Document Type:

Journal Article
Rights Information:

CC BY-NC-ND
Compliance:

Submitted
Main Document Checksum:

urn:sha256:0031e9f86c5457ee8872dd03f09e0eb2001c32078dcaaffa48cf4a9c1e0c50b4
Download URL:

https://repository.library.noaa.gov/view/noaa/34001/noaa_34001_DS1.pdf
File Type:

[PDF - 6.83 MB ]

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