Physics
Scientific paper
Mar 2003
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2003georl..30e..38k&link_type=abstract
Geophysical Research Letters, Volume 30, Issue 5, pp. 38-1, CiteID 1234, DOI 10.1029/2002GL016741
Physics
15
Meteorology And Atmospheric Dynamics: Numerical Modeling And Data Assimilation, Meteorology And Atmospheric Dynamics: Precipitation (1854), Meteorology And Atmospheric Dynamics: Remote Sensing
Scientific paper
This paper addresses the impact of moisture profile data sets derived from the Lidar Atmospheric Sensing Experiment (LASE) for the assimilation and forecasts of hurricanes. LASE is a vertical profiler for moisture measurements that was developed at NASA Langley Research Center. LASE was deployed on board the NASA DC-8 research aircraft and provided vertical profiles of moisture in a hurricane environment during the Convection and Moisture Experiment-4, which occurred in August and September 2001. In this preliminary study we show results from two types of experiments (with and without LASE data) that show improvements in track and intensity forecasts of hurricanes, Erin, Humberto and Gabrielle. When the LASE moisture profiles are assimilated, track errors are reduced by 100 km and intensity errors are reduced by 20-25% for 3 day forecasts.
Browell Edward V.
Ferrare Richard A.
Ismail Syed
Kamineni Rupa
Krishnamurti T. N.
No associations
LandOfFree
Impact of high resolution water vapor cross-sectional data on hurricane forecasting 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 high resolution water vapor cross-sectional data on hurricane forecasting, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Impact of high resolution water vapor cross-sectional data on hurricane forecasting will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-997745