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Data from: Impact of Atmospheric River Reconnaissance Dropsonde Data on the Assimilation of Satellite Data in GFS

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Data from: Impact of Atmospheric River Reconnaissance Dropsonde Data on the Assimilation of Satellite Data in GFS

About this collection

Extent

1 digital object.

Cite This Work

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

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).

Creation Date
  • 2020-01-24 to 2020-03-18
Date Issued
  • 2022
Author
Principal Investigator
Co Principal Investigator
Data Contributor
Contributors
Technical Details

See Section 11.1.2 gsid2mpr output in the Model Evaluation Tools Version 8.1.2 User's Guide (https://dtcenter.org/community-code/model-evaluation-tools-met/documentation) for details about the columns in the matched pair output files.

Funding

USACE FIRO grant W912HZ1520019 and CDWR AR Program grant 4600013361.

Topics

Format

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Language
  • English
Identifier

Identifier: Brian Kawzenuk: https://orcid.org/0000-0003-1194-4296

Identifier: F. Martin Ralph: https://orcid.org/0000-0002-0870-6396

Identifier: Luca Delle Monache: https://orcid.org/0000-0003-4953-0881

Identifier: Minghua Zheng: https://orcid.org/0000-0001-5352-0745

Identifier: Ryan Torn: https://orcid.org/0000-0002-4067-6684

Identifier: Vijay S. Tallapragada: https://orcid.org/0000-0003-4255-897X

Identifier: Xingren Wu: https://orcid.org/0000-0003-4169-3707

Identifier: Yanqiu Zhu: https://orcid.org/0000-0003-4351-598X

Related Resources

    Primary associated publication

    • Zheng, Minghua; Delle Monache, Luca; Wu, Xingren; Kawzenuk, Brian; Ralph, F. Martin; Zhu, Yanqiu; Torn, Ryan; Tallapragada, Vijay S.; Zhang, Zhenhai; Wu, Keqin (2022). Impact of Atmospheric River Reconnaissance Dropsonde Data on the Assimilation of Satellite Data in GFS. ESSOAr. https://doi.org/10.1002/essoar.10510741.1

    Reference

    • Brown, B., Jensen, T., Gotway, J. H., Bullock, R., Gilleland, E., Fowler, T., Newman, K., Adriaansen, D., Blank, L., Burek, T., Harrold, M., Hertneky, T., Kalb, C., Kucera, P., Nance, L., Opatz, J., Vigh, J., & Wolff, J. (2021). The Model Evaluation Tools (MET): More than a Decade of Community-Supported Forecast Verification, Bulletin of the American Meteorological Society, 102(4), E782-E807. https://doi.org/10.1175/BAMS-D-19-0093.1

    • Newman, K., Jensen, T., Brown, B., Bullock, R., Fowler, T., Halley Gotway, J. (2019). Model Evaluation Tools Version 8.1.2 User's Guide. Developmental Testbed Center. (Can be accessed at https://dtcenter.org/sites/default/files/community-code/met/docs/user-guide/MET_Users_Guide_v8.1.2.pdf, last access date: Feb 28, 2022)

Data from: Impact of Atmospheric River Reconnaissance Dropsonde Data on the Assimilation of Satellite Data in GFS
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