SECOND INTERNATIONAL WIND WORKSHOP
| SECOND
INTERNATIONAL WIND WORKSHOP
Tokyo, Japan, 13-15 December 1993 EUM P 14 ISBN 92-9110-014-5 |
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| Title | | |
Presenter | | |
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| Impressum and disclaimer |
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| Table of contents | ||||
| Author index | ||||
| Welcome address | Kozo Ninomiya |
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| Welcome address 2 | Gérard Szejwach |
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| Keynote Address | T T Fujita |
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| List of participants |
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| Title | Chairperson | |||
|---|---|---|---|---|
| Session 1: Operational Extraction of Cloud Motion Winds from Current and Future Geostationary Satellite Systems |
T. Hamada | |||
| Session 2: Wind Tracking from Absorption Channel Date |
J Schmetz | |||
| Session 3: Verification and Impact Studies of Operational Wind Data |
D E Hinsman | |||
| Session 4: Future Studies and Development |
P Menzel | |||
| Session 5: Conclusions and Recommendations |
G Szejwach | |||
| Title | Author/Chairperson | |||
|---|---|---|---|---|
| Panel Discusssion 1: Operational Improvements | John Le Marshall | |||
| Panel Discussion 2: Verification Techniques | J F W Purdom |
| Title | Authors | |||
|---|---|---|---|---|
| Current Status of GMS Wind and Operational Low-Level Derivation in a Typhoon Vicinity from Short-Time Interval Images | S Takata | |||
| An Operational System for Generating Cloud Drift Winds in the Australian Region and their Impact on Numerial Weather Prediction | J LeMarshall, N Pescod, B Seaman and P Stewart | |||
| Current Status of the Operational Wind Extraction Program in NOAA/NESDIS | R Walter, Jr. | |||
| Current System for Extracting Cloud Motion Vectors from METEOSAT Multi-Channel Image Data | K Holmlund, A Ottenbacher, and J Schmetz | |||
| Cloud Motion Wind Extraction from GOMS Data | L Anekeeva | |||
| Recent Improvements in Cloud Motion Vector Derivation from INSAT (Abstract only) |
R Kelkar, A Rao and R Bhatia | |||
| China Meteorological Satellite FY – 2 Cloud Drift Wind Processing Method | Chen E, Lu Q, Zhang H | |||
| Title | Authors | |||
|---|---|---|---|---|
| Operational Water Vapour Wind Vectors From Meteosat Imagery Data | K Holmlund | |||
| Water-Vapour Channel Winds from Synthetic Radiances | R Lunnon, A Gairey | |||
| Wind Extraction From Water Vapor Images | H Uchida | |||
| Investigation of Water Vapor Motion Winds from Geostationary Satellites | C Velden | |||
| Title | Authors | |||
|---|---|---|---|---|
| Assigning Heights to Cloud Motion Vectors | W Menzel, S Wanzong, S Nieman, and J Schmetz | |||
| Forecast of Displacement Velocity of the Basic Sites of Large-Scale Cyclonic Cloud Systems and Frontal Sections from Satellite Data | L Bakst, N Fedorova | |||
| Comparison of Verification Techniques, Is it Time for Convergence? | D Hinsman | |||
| Winds: Towards Better Weather Forecasts in Africa | Kinyoda G | |||
| Study of Cirrus Cloud Winds : Analysis of I.C.E. Data |
R Lunnon, D Lowe, J Barnes and I Dharssi | |||
| Use of Low Level 'Detailed' Satellite Cloud Motion Wind Around Tropical Cyclones in the JMA Numerical Weather Prediction System |
K Onogi | |||
| Relationship between Monthly Mean Water Vapour Wind Fields and the Upper Tropospheric Humidity | J Schmetz, C Geijo, K Holmlund, L Van de Berg | |||
| Quality Assessment of Operational Cloud-Motion Wind Data | B Strauss | |||
| Construction of Cloud Trajectories : A Way to Check Cloud Wind Quality | A Szantai and M Desbois | |||
| Verification of Meteosat Cloud Motion Winds with Radiosonde Data | H Woick | |||
| Title | Authors | |||
|---|---|---|---|---|
| The Feasibility of Extracting Low-Level Wind by Tracing Low Level Moisture Observed by IR Imagery over Cloud Free Ocean Area in the Tropics | T Ihoue and T Nakazawa | |||
| The CMW Extraction Algorithm For MTP/MPEF | Y Buhler and K Holmlund | |||
| Recent Research In The Automated Quality Control Of Cloud Motion Vectors At CIMSS/NESDIS | C Hayden | |||
| Numerical Experiments Using Cloud Motion Winds at ECMWF | G Kelly | |||
| Cloud Motion and Height Measurements from Multiple Satellites Including Cloud Heights and Motions in Polar Regions | J Purdom and P Dills | |||
| Computing Cloud Motion Using a Correlation Relaxation Algorithm — Improving Estimation by Exploiting Problem Knowledge | Wu, Q | |||