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Title
Data from: Improved Forecast Skill through the Assimilation of Dropsonde Observations from the Atmospheric River Reconnaissance Program
Creator
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
Date Created and/or Issued
2016-02-14 to 2019-03-01
Contributing Institution
UC San Diego, Research Data Curation Program
Collection
Data from: Improved Forecast Skill through the Assimilation of Dropsonde Observations from the Atmospheric River Reconnaissance Program
Rights Information
Under copyright
Constraint(s) on Use: This work is protected by the U.S. Copyright Law (Title 17, U.S.C.). Use of this work beyond that allowed by "fair use" or any license applied to this work requires written permission of the copyright holder(s). Responsibility for obtaining permissions and any use and distribution of this work rests exclusively with the user and not the UC San Diego Library. Inquiries can be made to the UC San Diego Library program having custody of the work.
Use: This work is available from the UC San Diego Library. This digital copy of the work is intended to support research, teaching, and private study.
Rights Holder and Contact
UC Regents
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.
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)
Please contact Minghua Zheng from SIO at UC San Diego (email: ming.h.zheng@gmail.com) for any questions.
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
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.
Type
dataset
Identifier
ark:/20775/bb1715036h
Language
English
Subject
Numerical weather prediction
Data denial
Data assimilation
Atmospheric river reconnaissance

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