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Extent

1 digital object.

Description

This dataset are initial and boundary conditions generated by West-WRF implemented at Scripps Institution of Oceanography of UC San Diego for the Atmospheric River Reconnaissance dropsonde data denial experiments described in Zheng et al. 2021 (JGR). With this dataset, one should be able to repeat the WRF simulations for the NoDROP and WithDROP experiments using WRF V3.9.1.1.

Creation Date

• 2016-02-14 to 2019-03-01

Date Issued

• 2021

Authors

• Cornuelle, Bruce D.
• DeHaan, Laurel D.
• Delle Monache, Luca
• Haase, Jennifer S.
• Higgins, Timothy B.
• Murphy, Michael J.
• Ralph, Martin F.
• Subramanian, Aneesh
• Tallapragada, Vijay S.
• Wu, Xingren
• Zhang, Zhenhai
• Zheng, Minghua

Technical Details

Gridpoint Statistical Interpolation (GSI) version 3.7 and the Weather Research and Forecasting (WRF) version 3.9.1.1

Note

Please contact Minghua Zheng from SIO at UC San Diego (email: ming.h.zheng@gmail.com) for any questions.

Funding

USACE FIRO grant W912HZ1520019 and CDWR AR Program grant 4600013361.

Topics

• Atmospheric river reconnaissance
• Data assimilation
• Data denial
• Domain: Earth sciences
• Numerical weather prediction

Formats

View formats within this collection

• data
• text

Language

• English

Related Resources

Primary associated publication

• Zheng, M., L. Delle Monache, B.D. Cornuelle, F.M. Ralph, V.S. Tallapragada, A. Subramanian, J.S. Haase, Z. Zhang, X. Wu, M.J. Murphy, T.B. Higgins, and L. DeHaan, 2021. Improved Forecast Skill through the Assimilation of Dropsonde Observations from the Atmospheric River Reconnaissance Program. J. Geophys. Res.-Atmos. https://doi.org/10.1029/2021JD034967

Source data

• Gridpoint Statistical Interpolation (GSI) version 3.7
• Weather Research and Forecasting (WRF) version 3.9.1.1