HR: 09:45h
AN: A21B-06    [Abstracts]
TI: North American Regional Reanalysis: Evaluation Highlights and Early Usage
AU: * Mesinger, F
EM: fedor.mesinger@noaa.gov
AF: NCEP/EMC, and ESSIC Un. Maryland, 5200 Auth Rd., Camp Springs, MD 20746
AU: DiMego, G
EM: geoff.dimego@noaa.gov
AF: NCEP/EMC, 5200 Auth Rd., Camp Springs, MD 20746
AU: Kalnay, E
EM: ekalnay@atmos.umd.edu
AF: Dept. Meteorology, Un. Maryland, CSS Building, College Park, MD 20742
AU: Shafran, P
EM: perry.shafran@noaa.gov
AF: NCEP/EMC, and SAIC, 5200 Auth Rd., Camp Springs, MD 20746
AU: Ebisuzaki, W
EM: wesley.ebisuzaki@noaa.gov
AF: NCEP/CPC, 5200 Auth Rd., Camp Springs, MD 20746
AU: Jovic, D
EM: dusan.jovic@noaa.gov
AF: NCEP/EMC, and SAIC, 5200 Auth Rd., Camp Springs, MD 20746
AU: Mitchell, K
EM: kenneth.mitchell@noaa.gov
AF: NCEP/EMC, 5200 Auth Rd., Camp Springs, MD 20746
AU: Berbery, H
EM: berbery@atmos.umd.edu
AF: Dept. Meteorology, Un. Maryland, CSS Building, College Park, MD 20742
AU: Fan, Y
EM: yun.fan@noaa.gov
AF: NCEP/CPC, and RSIS, 5200 Auth Rd., Camp Springs, MD 20746
AU: Higgins, W
EM: wayne.higgins@noaa.gov
AF: NCEP/CPC, 5200 Auth Rd., Camp Springs, MD 20746
AU: Lin, Y
EM: ying.lin@noaa.gov
AF: NCEP/EMC, 5200 Auth Rd., Camp Springs, MD 20746
AU: Shi, W
EM: wei.shi@noaa.gov
AF: NCEP/CPC, 5200 Auth Rd., Camp Springs, MD 20746
AB: Following an about a 6-year development and production effort, the NCEP 25-year (1979-2003) North American Regional Reanalysis (NARR) has been completed. It is continued in near-real time as a Regional Climate Data Assimilation System, R-CDAS. Done for a domain including all of the North American continent and considerable parts of the adjacent oceans, with a 32 km/ 45 layers resolution, the NARR has resulted in a consistent high resolution climate dataset suitable for numerous applications. As aimed for, comparisons against the available NCEP/NCAR Global Reanalysis (GR) show that its accuracy is generally considerably higher than that of the GR. This is demonstrated by looking at rms fits to rawinsonde observations (raobs), as well as fits to surface data. Assimilation of analyzed precipitation resulted in precipitation fields that to a very high degree replicate the analyzed fields, a feature boding well when it comes to land-surface and hydrology applications. Several lessons that should be useful in planning future reanalyses are mentioned. Early usage of the NARR datasets as reported on at the recent NARR Users Workshop, San Diego, CA, is summarized. It includes additional validation work, uses for water and energy budget assessments in relation to predictability and climate variability issues, efforts at identification of useful severe weather predictors, North American monsoon studies, use for driving regional climate simulations, and more.
DE: 3337 Numerical modeling and data assimilation
SC: Atmospheric Sciences [A]
MN: 2005 Joint Assembly