Numerical Weather Prediction for Himalayan Complex Terrain: Prospects of Variational Data Assimilation
DOI:
https://doi.org/10.3126/jnphyssoc.v3i1.14445Keywords:
Numerical weather prediction, atmospheric modeling, data assimilation, weather disasters, complex terrainAbstract
As part of the ongoing research activities at National Atmospheric Resource and Environmental Research Laboratory (NARERL) to realize high spatial and temporal resolution weather forecasts for Nepal, the Weather Research and Forecasting (WRF) modeling system performance with the National Center for Environmental Protection (NCEP) and National Center for Medium Range Weather Forecast (NCMRWF) initialization global meteorological data sets and the effect of surface observation data assimilation have been examined. The study shows that WRF modeling system reasonably well predicts the diurnal variation of upcoming weather events with both the data sets. The observation data assimilation from entire weather station distributed over the country may lead to the significant improvement in the accuracy and reliability of extended period of forecast. However, upper air observation data assimilation would be necessary to achieve desired precision and reliability of extended weather forecast.
Journal of Nepal Physical Society Vol.3(1) 2015: 67-72
Downloads
Downloads
Published
How to Cite
Issue
Section
License
All right reserved. No part of this Journal may be reproduced in any form or by any electronic or mechanical means, including information storage and retrieval system, without permission in writing from the publisher, except by a reviewer who may quote brief passage in a review. The views and interpretation in this journal are those of author(s) and they are not attributable to the NPS.