CIRA » Home » Research » Project » NOAA Utility of GOES-R GLM using HVEDAS in Regional Applications
Project Title: Utility of GOES-R Geostationary Lightning Mapper (GLM) using Hybrid Variational-Ensemble Data Assimilation in Regional Applications.
Principal Investigators: Dr Milija Zupanski (CSU)
Co-PIs, Collaborators: Dr Louis Grasso (CSU), Dr John Knaff (NESDIS/STARR-RAMMB), Dr Stephen Lord (NOAA/NCEP/EMC)
Graduate Students, Postdoctoral Scientists: Man Zhang (CSU), Karina Apodaca (CSU)
Sponsor: NOAA
Project duration: 1 May 2011 - 30 April 2014
Funded amount: $313,810
Goals and objectives:
1. Interface the NCEP operational WRF-NMM modeling system with MLEF to assimilate NCEP operational observations. Add assimilation of MW cloudy satellite radiances, and evaluate basic system for severe weather.
2. Develop/adapt the GLM forward operator for use in GLM (WWLLDN) data assimilation.
3. Demonstrate the utility of the GOES-R GLM in sever weather data assimilation.
4. Make final evaluation of the value-added impact of lightning data for severe weather. Make recommendations for future operational assimilation of GOES-R GLM measurements in regional HVEDAS applications to severe weather.
5. If there is a NOAA interest in further investigation/implementation of GLM observations in data assimilation, support such an effort in collaboration with EMC.
Summary:
In this research we propose to develop a capability to use GOES-R Geostationary Lightning Mapper (GLM) observations in a prototype hybrid variational-ensemble data assimilation system (HVEDAS) and evaluate its impact in regional data assimilation (DA). In order to enhance the GLM utility, we plan to combine GLM assimilation with assimilation of all-sky (cloudy) microwave (MW) satellite radiance observations. Both types of observations have a potential to introduce relevant information related to cloud microphysics and thus impact the analysis and prediction of severe storms and other extreme weather events.
The proposed use of HVEDAS is aligned with NOAA and NASA Atmospheric Data Assimilation Plan for 2010-2014. It will provide a two-way interaction between CIRA and NCEP Environmental Modeling Center (EMC) in support of such a system.
In this research we focus on evaluating the impact of GLM observations in data assimilation applications to severe weather. Our development will rely on using the NOAA operational codes for modeling system (e.g., Weather Research and Forecasting Nonhydrostatic Mesoscale Model - WRF-NMM) and observations (e.g., Gridpoint Statistical Interpolation – GSI and Community Radiative Transfer Model – CRTM). Since all computations will be conduced on the NOAA R&D computer, the development resulting from this research would be immediately available to NOAA researchers and, if warranted, to NOAA operations.
- FY12 Semi-Annual Report (1st half)
