Variational Data Assimilation

reportActive / Technical Report | Accession Number: AD1058480 | Open PDF

Abstract:

The scope of this project is to advance the analysis and prediction capability of the Navys environmental modeling and forecasting systems through the improvement of the assimilation software. This project used three different variational assimilation systems 1 Relo NCOM 3DVAR, 2 the adjointless 4DV AR, and 3 the NCOM-4DV AR. There were 8 funded NRL projects that focused on either adding or improving capabilities of 4DVAR in FYI 7, and the experiments performed under this HPC project went towards satisfying these efforts.

Author(s):
Smith, S. ; Amerault, C. ; Barrron, C. N. ; Campbell, T. ; Carrier, M. ; Dastugue, J. M. ; Derada, S. ; Douglas, E. ; Martin, P. ; May, J. C. ; Ngodock, H. ; Rowley, C. D. ; Shriver, J. F. ; Smedstad, O. ; Spence, P. J. ; Yaremchuk, M.
Author Organization(s):
NAVAL RESEARCH LAB STENNIS DETACHMENT STENNIS SPACE CENTER MS STENNIS SPACE CENTER
Descriptive Note:
Technical Report
Supplementary Note:
FY17 NRL DoD High Performance Computing Modernization Program Annual Reports , 01 Jan 0001, 01 Jan 0001,
Pagination:
0004

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution:
Approved For Public Release
Distribution Statement:
Approved For Public Release;

RECORD

Collection: TR
Identifying Numbers
Report Number(s):
NRL/PU/7320-17-3684, ONR/C4ISR
 Subject Terms
Joint Capability Areas:
JCA_6_Net Centric
Communities of Interest:
No COI(s) Identified
Descriptor(s):
transportation infrastructure, sea level rise, delaware bay, infrastructure, vulnerability, monitoring, biological phenomena, WEATHER FORECASTING
Field(s)/Group(s):
Meteorology
Keyword(s):
environmental modeling, forecasting systems
Report Date:
2018 Aug 15
Creation Date:
2018 Aug 24