Impact of Assimilating CYGNSS Data on Tropical Cyclone Analyses and Forecasts in a Regional OSSE Framework
| Autor: | Bachir Annane, Robert Atlas, Sharanya J. Majumdar, Javier Delgado, Brian D. McNoldy, Lisa Bucci |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
010504 meteorology & atmospheric sciences
Meteorology Climatology 0211 other engineering and technologies Environmental science Ocean Engineering 02 engineering and technology Tropical cyclone Oceanography 01 natural sciences 021101 geological & geomatics engineering 0105 earth and related environmental sciences |
| Zdroj: | Marine Technology Society Journal. 51:7-15 |
| ISSN: | 0025-3324 |
| DOI: | 10.4031/mtsj.51.1.1 |
| Popis: | The impact of assimilating ocean surface wind observations from the Cyclone Global Navigation Satellite System (CYGNSS) is examined in a high-resolution Observing System Simulation Experiment (OSSE) framework for tropical cyclones (TCs). CYGNSS is a planned National Aeronautics and Space Administration constellation of microsatellites that utilizes existing GNSS satellites to retrieve surface wind speed. In the OSSE, CYGNSS wind speed data are simulated using output from a “nature run” as truth. In a case study using the regional Hurricane Weather Research and Forecasting modeling system and the Gridpoint Statistical Interpolation data assimilation scheme, analyses of TC position, structure, and intensity, together with large-scale variables, are improved due to the assimilation of the additional surface wind data. These results indicate the potential importance of CYGNSS ocean surface wind speed data and furthermore that the assimilation of directional information would add further value to TC analyses and forecasts. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|