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Description
This dataset contains the satellite radiance observations produced by the Global Data Assimilation System (GDAS) at National Centers for Environmental Prediction (NCEP). The Global Forecast System (GFS)/GDAS was employed to perform data denial experiments for the dropsonde data collected during the 2020 atmospheric river reconnaissance. The experiment named "Ctrl" assimilated all AR Recon dropsonde data and the routine observations and the experiment named "Deny" only assimilated the routine observations. Five types of satellite radiance data used by "Ctrl" and "Deny" from January 24 to March 18 are included in this collection. This dataset is the data analyzed in Zheng et al. 2022 (GRL), with which one should be able to repeat all the figures included in Zheng et al. 2022 (GRL). USACE FIRO grant W912HZ1520019 and CDWR AR Program grant 4600013361. Research Data Curation Program, UC San Diego, La Jolla, 92093-0175 (https://lib.ucsd.edu/rdcp) Zheng, Minghua; Delle Monache, Luca; Wu, Xingren; Kawzenuk, Brian; Ralph, F. Martin; Zhu, Yanqiu; Torn, Ryan; Tallapragada, Vijay S.; Zhang, Zhenhai; Wu, Keqin (2022). Data from: Impact of Atmospheric River Reconnaissance Dropsonde Data on the Assimilation of Satellite Data in GFS. UC San Diego Library Digital Collections. https://doi.org/10.6075/J0D21XSQ
Type
dataset
Identifier
ark:/20775/bb2705527q
Language
English
Subject
Data denial Atmospheric river reconnaissance Satellite radiance Dropsonde Global Forecast System (GFS) Global Data Assimilation System (GDAS) Global
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