Correcting Forecast Time Biases in CMA-MESO Using Himawari-9 and Time-Shift Method
Correcting Forecast Time Biases in CMA-MESO Using Himawari-9 and Time-Shift Method
About this item
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Author / Creator
Song, Xingtao , Han, Wei , Sun, Haofei , Wang, Hao and Xu, Xiaofeng
Publisher
Basel: MDPI AG
Journal title
Language
English
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Publication information
Publisher
Basel: MDPI AG
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Scope and Contents
Contents
The accurate forecasting of time, intensity, and spatial distribution is fundamental to weather prediction. However, the limitations of numerical weather prediction (NWP) models, as well as uncertainties in inital conditions, often lead to temporal biases in forecasts. This study addresses these biases by employing visible reflectance data from the...
Alternative Titles
Full title
Correcting Forecast Time Biases in CMA-MESO Using Himawari-9 and Time-Shift Method
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Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_b51932809ff545e2b36943358483cf5a
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b51932809ff545e2b36943358483cf5a
Other Identifiers
ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs17040617
