Impact of meso-net observations on short-term prediction of intense weather systems during PRWONAM: Part I—On wind variations

Physics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

Short-term prediction of wind variations as a function of height using the PSU/NCAR MM5 model with an optimum horizontal resolution of 3 km, and assimilation of meso-network measurements of PRWONAM, has been carried out for the southern peninsular region of India. The studies were made within the framework of the PRWONAM programme. The observed wind data used here are from the MST radar at Gadanki and GP Sondes at a few locations (SHAR, Bangalore, Gadanki, Chennai, Arakkonam, Cochin) in the peninsular region. During the southwest monsoon season, the wind fields showed coherent pattern in the vertical unlike during the spring season. Comparisons in wind variations between predictions and observations for Gadanki revealed an average bias of 3.84 m s-1 in the predicted mean wind above 8 km during the spring season, with 75% (63%) of instantaneous predictions falling in ±5 m s-1 error bounds with (without) bias correction. The percentage within these limits below 8 km altitude is 90%.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Impact of meso-net observations on short-term prediction of intense weather systems during PRWONAM: Part I—On wind variations 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 Impact of meso-net observations on short-term prediction of intense weather systems during PRWONAM: Part I—On wind variations, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Impact of meso-net observations on short-term prediction of intense weather systems during PRWONAM: Part I—On wind variations will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-920031

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.