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Data from: Improved Forecast Skill through the Assimilation of Dropsonde Observations from the Atmospheric River Reconnaissance Program

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Data from: Improved Forecast Skill through the Assimilation of Dropsonde Observations from the Atmospheric River Reconnaissance Program

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Extent

1 digital object.

Cite This Work

Zheng, Minghua; Delle Monache, Luca; Cornuelle, Bruce D.; Ralph, Martin F.; Tallapragada, Vijay S.; Subramanian, Aneesh; Haase, Jennifer S.; Zhang, Zhenhai; Wu, Xingren; Murphy, Michael J.; Higgins, Timothy B.; DeHaan, Laurel D. (2021). Data from: Improved Forecast Skill through the Assimilation of Dropsonde Observations from the Atmospheric River Reconnaissance Program. UC San Diego Library Digital Collections. https://doi.org/10.6075/J0445MMG

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.

Scope And Content

Item descriptions:
1. namelist.input: the namelist file required for WRF to re-run any of these experiments. One can change the starting and ending time for each IOP. The example file is for IOP1 that starts from 0000 UTC 02/14/2016 and ends at 0000 UTC 02/20/2016.
2. IOPX_NoDROP.tar, X=1, ..., 15: the initial and boundary conditions for NoDROP experiments that did not assimilate AR Recon dropsonde data.
3. IOPX_WithDROP.tar, X=1, ..., 15: the initial and boundary conditions for WithDROP experiments that assimilated AR Recon dropsonde data.
4. The *.tar file can be opened with Linux command $tar -xvf filename
5. Each tar file has a folder IOPX (for NoDROP) or IOPX_w (for WithDROP). Each folder contains three files, of which wrfinput_d01 and wrfinput_d02 are for the initial conditions and wrfbdy_d01 is the boundary condition.

Creation Date
  • 2016-02-14 to 2019-03-01
Date Issued
  • 2021
Authors
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.

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Language
  • English
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