Mathematics – Logic
Scientific paper
May 2002
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002georl..29i..29f&link_type=abstract
Geophysical Research Letters, Volume 29, Issue 9, pp. 29-1, CiteID 1315, DOI 10.1029/2001GL014578
Mathematics
Logic
10
Meteorology And Atmospheric Dynamics: Numerical Modeling And Data Assimilation, Meteorology And Atmospheric Dynamics: Climatology (1620), Meteorology And Atmospheric Dynamics: Polar Meteorology, Information Related To Geographic Region: Arctic Region
Scientific paper
Reanalysis products from meteorological forecast centers perform well in areas where conventional data are dense, but the realism of their fields in data-sparse regions, such as the Arctic Ocean, is less certain. Upper-level winds from two reanalysis data sets, the NCEP/NCAR (National Centers for Environmental Prediction/National Center for Atmospheric Research) and the ECMWF (European Center for Medium Range Weather Forecasting) Reanalyses are evaluated in this study. Rawinsonde data from two Arctic field programs that were not assimilated by the models are compared to reanalysis wind products for five layers between 1000 and 300 hPa. Both reanalysis products exhibit large biases and are significantly too westerly and too northerly. Total wind speeds are too strong by 25 to 65% relative to rawinsonde values. Root-mean-square errors in u- and v-component winds are substantially larger than the mean values. Possible sources and ramifications of these discrepancies are discussed.
No associations
LandOfFree
Validation of reanalysis upper-level winds in the Arctic with independent rawinsonde data does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Validation of reanalysis upper-level winds in the Arctic with independent rawinsonde data, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Validation of reanalysis upper-level winds in the Arctic with independent rawinsonde data will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1516181