The Impact of Assimilating Satellite-Derived Precipitation Rates on Numerical Simulations of the ERICA IOP 4 Cyclone

Autor:	John Manobianco, V. Mohan Karyampudi, Andrew J. Negri, Steven E. Koch
Rok vydání:	1994
Předmět:	Atmospheric Science Data assimilation Meteorology Climatology Cyclogenesis Extratropical cyclone Geostationary orbit Cyclone Environmental science Satellite Precipitation Geostationary Operational Environmental Satellite
Zdroj:	Monthly Weather Review. 122:341-365
ISSN:	1520-0493 0027-0644
DOI:	10.1175/1520-0493(1994)122<0341:tioasd>2.0.co;2
Popis:	The present study uses a regional-scale numerical model to test the impact of dynamically assimilating, satellite-derived precipitation rates on the numerical simulations of one of the deepest extratropical cyclones to develop south of 40°N in this century. This cyclone event occurred during the Experiment on Rapidly Intensifying Cyclones over the Atlantic (ERICA) intensive observing period 4 and has been selected because of the strength of the cyclone and the availability of the special ERICA data in addition to the Special Sensor Microwave/Imager (SSM/I) and Geostationary Operational Environmental Satellite (GOES) infrared (IR) satellite data. The unique methodology developed herein to synthesize the SSM/I and GOES IR satellite data produces precipitation estimates that have realistic spatial and temporal structure. The assimilation of satellite-derived precipitation is accomplished by scaling the internally generated model profiles of total latent heating. At points where the model is not prod...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::965cf65af1c5a7db9bc42467a748fb4b https://doi.org/10.1175/1520-0493(1994)122<0341:tioasd>2.0.co Zobrazit plný text záznamu