Impact of QuikSCAT derived wind fields in a mesoscale non-hydrostatic model
DOI:
https://doi.org/10.54302/mausam.v54i1.1502Keywords:
Mesoscale Model (MM), National Centre for Environmental Prediction (NCEP), Special Sensor Microwave Imager (SSM/I), National Centre for Atmospheric Research (NCAR), Remote sensingAbstract
Mesoscale models need high-resolution data on atmospheric parameters. QuikSCAT provides the horizontal components of winds over the global ocean with a very high horizontal resolution. In this paper, QuikSCAT derived wind fields have been used to improve the initial state of mesoscale circulation in a non-hydrostatic mesoscale model. The comparison of initial state using global data with and without QuikSCAT data has clearly identified the benefits of addition of important mesoscale circulation features. Considering the wind circulation forecast, the control run that used the initial state without QuikSCAT data predict very weak low pressure area. In contrast, the experimental run with QuikSCAT data could forecast it up to 48 hours in a way that agreed well with the observed circulation.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2021 MAUSAM
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
All articles published by MAUSAM are licensed under the Creative Commons Attribution 4.0 International License. This permits anyone.
Anyone is free:
- To Share - to copy, distribute and transmit the work
- To Remix - to adapt the work.
Under the following conditions:
- Share - copy and redistribute the material in any medium or format
- Adapt - remix, transform, and build upon the material for any purpose, even
commercially.