State of the Science: Radar View of Tropical Cyclones

Marks, Frank D.

doi:10.1007/978-1-878220-36-3_3

Cited by 10 publications

(2 citation statements)

References 109 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The current study focuses exclusively on the added values of assimilating airborne Doppler observations from the NOAA P‐3 aircrafts [ Gamache et al , 1995; Marks , 2003]. There were 30 ensemble members used in the real‐time WRF‐EnKF system (as is the case of Hurricane Ike of 2008 highlighted in section 3) while the hindcast EnKF analyses and forecasts for all the 61 cases during 2008–2010 used 60 members (as in section 4).…”

Section: Methodology and Experimental Designmentioning

confidence: 99%

Performance of convection‐permitting hurricane initialization and prediction during 2008–2010 with ensemble data assimilation of inner‐core airborne Doppler radar observations

Zhang

Weng

Gamache

et al. 2011

Geophysical Research Letters

Self Cite

163

143

View full text Add to dashboard Cite

[1] This study examines a hurricane prediction system that uses an ensemble Kalman filter (EnKF) to assimilate highresolution airborne radar observations for convectionpermitting hurricane initialization and forecasting. This system demonstrated very promising performance, especially on hurricane intensity forecasts, through experiments over all 61 applicable NOAA P-3 airborne Doppler missions during the 2008-2010 Atlantic hurricane seasons. The mean absolute intensity forecast errors initialized with the EnKF-analysis of the airborne Doppler observations at the 24-to 120-h lead forecast times were 20-40% lower than the National Hurricane Center's official forecasts issued at similar times. This prototype system was first implemented in real-time for Hurricane Ike (2008). It represents the first time that airborne Doppler radar observations were successfully assimilated in real-time into a hurricane prediction model. It also represents the first time that the convection-permitting ensemble analyses and forecasts for hurricanes were performed in real-time. Also unprecedented was the on-demand usage of more than 23,000 computer cluster processors simultaneously in realtime.

show abstract

Section: Methodology and Experimental Designmentioning

confidence: 99%

Performance of convection‐permitting hurricane initialization and prediction during 2008–2010 with ensemble data assimilation of inner‐core airborne Doppler radar observations

Zhang

Weng

Gamache

et al. 2011

Geophysical Research Letters

Self Cite

163

143

View full text Add to dashboard Cite

show abstract

“…However, observations of the mean BL structure in TCs over land are mainly based on remote sensing instruments and are thus limited to the kinematic structures. The vertical distribution of wind velocity has been observed by land‐based Doppler radar data [e.g., Marks , ; Schroeder et al ., ; Hirth et al ., ]. Mobile Doppler radar data have revealed fine‐scale linear features over the lowest several hundred meters that appear similar to BL rolls in landfalling TCs [e.g., Wurman and Winslow , ; Geerts et al ., ; Lorsolo et al ., ].…”

Section: Introductionmentioning

confidence: 99%

Multiplatform observations of boundary layer structure in the outer rainbands of landfalling typhoons

Ming

Zhang

Rogers

et al. 2014

J. Geophys. Res. Atmos.

Self Cite

View full text Add to dashboard Cite

This paper analyzes data collected from a new set of observational platforms in the coastal area of China, which consist of a mobile observation system, meteorological tower, automatic weather station, and Doppler radars, to investigate the mean and turbulent boundary layer structure and evolution during the landfall of typhoons. An example of these data is provided from Typhoon Morakot (2009). Vertical profiles of wind velocities and thermodynamic parameters from the observed data allow us to identify different boundary layer structures during and after landfall. These structures, sampled in regions of the outer core, are stratified into periods where convection is occurring (termed "convective") and periods where convection has recently (<2 h) occurred (termed "postconvective"). Data analyses show that the thermodynamic mixed-layer depth and inflow layer depth are higher during the convective period than the postconvective period. The mixed-layer depth is found to be within the strong inflow layer, but the height of the maximum tangential wind speed is above the inflow layer during both periods, contrary to recent observational studies of the boundary-layer structure of tropical cyclones over water. High-frequency wind data show that momentum flux, turbulent kinetic energy (TKE) and integral length scales of wind velocities are all much larger during the convective period than the postconvective period. The results suggest that convective downdrafts may play an important role in modulating turbulent flux, TKE, vertical mixing, and boundary layer recovery processes.

show abstract

Improvement of Monsoon Depressions Forecast with Assimilation of Indian DWR Data Using WRF-3DVAR Analysis System

Routray

Mohanty

Osuri

et al. 2013

Pure Appl. Geophys.

View full text Add to dashboard Cite

State of the Science: Radar View of Tropical Cyclones

Cited by 10 publications

References 109 publications

Performance of convection‐permitting hurricane initialization and prediction during 2008–2010 with ensemble data assimilation of inner‐core airborne Doppler radar observations

Performance of convection‐permitting hurricane initialization and prediction during 2008–2010 with ensemble data assimilation of inner‐core airborne Doppler radar observations

Multiplatform observations of boundary layer structure in the outer rainbands of landfalling typhoons

Improvement of Monsoon Depressions Forecast with Assimilation of Indian DWR Data Using WRF-3DVAR Analysis System

Contact Info

Product

Resources

About