Impact of GPS Radio Occultation Data on Tropical Cyclone Prediction
-
Upload
tashya-mckenzie -
Category
Documents
-
view
19 -
download
1
description
Transcript of Impact of GPS Radio Occultation Data on Tropical Cyclone Prediction
Impact of GPS Radio Occultation Data on Tropical Cyclone Prediction
Y.-H. Kuo, X. Fang, Y.-R. Guo, H. Liu, and Z. MaUCAR and NCAR
Impact of COSMIC on HurricaneErnesto (2006) Forecast
Without COSMICWith COSMIC
Results from Hui Liu, NCAR
Impact of COSMIC on HurricaneErnesto (2006) Forecast
GOES ImageWith COSMIC
GOES Image from Tim Schmitt, SSEC
Verification of WRF/DART analysis by about 100 dropsondes during the Ernesto genesis stage.
See Hui Liu’s presentation later this morning, at 11:40 a.m.
4-km WRF forecast experiments for the genesis of Typhoon Jangmi
- Start model at T = 3, 2.5, 2, and 1.5 days before the genesis- Use NCEP FNL as well as ECMWF I.C.- Mix FNL and ECMWF initial conditions by swapping moisture fields
- FNL u.v. T + ECMWF q- FNL q + ECMWF u, v, T
Comparison of WRF 3DVAR and WRF/DART forecast of Shanshan (2006)
• Assimilation for 24 hours starting 00Z 13 September 2006 using both 3DVAR and WRF/DART ensemble system
• Assimilation of CWB conventional data with/without RO data
DARTNBNG: NO GPS run using WRF DART DARTNB: With GPS run suing WRF DART CYCLNBNG: NO GPS run using WRF 3dvar CYCLNB: With GPS run using WRF 3dvar
• Followed by a 3-day forecast on 14 September 00Z.
Vorticity Analysis along typhoon centers (125.8E) on 00Z 14 September
WRF/DART
3DVAR
Vortex is stronger in WRF/DART analysisVortex is stronger in WRF/DART analysis
24h forecast of 24-h accumulated rainfall (Aug 7-8)
NOGPS GPS
Ensemble Ensemble meanmean
ObservedObserved
Data Density for COSMIC and COSMIC-II Options: A, B, C, and D
COSMIC - 6 x 72o
COSMIC-IIA - 8 x 72o + 4 x 24o
COSMIC-IIB - 12 x 72o
COSMIC-IIC - 6 x 72o + 6 x 24o
COSMIC-IIB - 4 x 72o + 8 x 24o
Summary• Analysis and prediction of tropical cyclogenesis is highly sensitive to
moisture distributions over the tropics.• GPS RO data provide valuable information on moisture that are important
to tropical cyclone prediction.• The assimilation methods and strategies have significant influence on the
impacts of GPS RO data on tropical cyclogenesis. Ensemble based data assimilation system performs better than 3D-Var. True for both global and regional weather prediction systems (e.g., WRF and NCEP GFS).
• Use of cloud-scale ensemble system, coupled with advanced data assimilation system can be very valuable for the prediction of disastrous event such as Morakot. GPS RO data help improve the precipitation forecast for this case.