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

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

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 t...

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Hauptverfasser: 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.
Format: Dataset
Sprache:eng
Schlagworte:
Atmospheric river reconnaissance
Data assimilation
Numerical weather prediction
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Beschreibung
Zusammenfassung: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.
DOI:10.6075/j0445mmg