Low-Order Modeling of Low-Frequency Atmospheric Variability on a Sphere
{'Code': '06020106', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'AGS', 'LongName': 'Div Atmospheric & Geospace Sciences'}}
{'SignBlockName': 'Jay S. Fein', 'PO_EMAI': None, 'PO_PHON': None}
This dissertation research project aims to develop a low-                  order model of low-frequency atmospheric variability with the                   high-frequency components parameterized quasi-stochastically.  A                                                                                                two-level spectral primitive equations model constitutes the                    framework of the low-order model.  Output from an unfiltered,                   rhomboidal-15 truncation simulation provides the data necessary                 to select a low-pass cutoff frequency and truncated set of                      planetary-scale modes to characterize the low-order model.  The                 output will be analyzed using global spectral energetics and                    Eulerian diagnostics to study the relationship between the low-                 frequency variability and high-frequency eddy forcing.  Flux-                   gradient and purely stochastic eddy forcing parameterizations                   will be evaluated by means of statistical analysis of the                       resolved variables and eddy forcing time series.  A quasi-                      stochastic parameterization that reflects salient features of the               eddy/mean flow feedback will be developed.  Several sets of                     Monte-Carlo simulations using the low-order model will be run to                examine spatial and temporal characteristics of the intraseasonal               predictability degradation under low and high zonal index states,               and under cases of regionally persistent low and high                           geopotential height anomalies.                                                                                                                                       This work is important because it will help delineate the                  high frequency synoptic scale events that have significant                      influence on low frequency planetary motions.  Hence, it should                 contribute to improving our capability to make medium range                     forecasts.
{'FirstName': 'Naomi', 'LastName': 'Surgi', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Naomi Surgi', 'EmailAddress': 'Surgi@NHC.NOAA.GOV', 'NSF_ID': '000181658', 'StartDate': '11/01/1988', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'University of Miami', 'CityName': 'CORAL GABLES', 'ZipCode': '331462509', 'PhoneNumber': '3054214089', 'StreetAddress': '1251 MEMORIAL DR', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Florida', 'StateCode': 'FL', 'CONGRESSDISTRICT': '27', 'CONGRESS_DISTRICT_ORG': 'FL27', 'ORG_UEI_NUM': 'KXN7HGCF6K91', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF MIAMI', 'ORG_PRNT_UEI_NUM': 'VNZZYCJ55TC4'}
{'Name': None, 'CityName': None, 'StateCode': None, 'ZipCode': None, 'StreetAddress': None, 'CountryCode': None, 'CountryName': None, 'StateName': None, 'CountryFlag': None, 'CONGRESSDISTRICT': None, 'CONGRESS_DISTRICT_PERF': '""'}
[{'Code': '1527', 'Text': 'LARGE-SCALE DYNAMIC METEOROLOG'}, {'Code': '5740', 'Text': 'Climate & Large-Scale Dynamics'}]
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1988&All=true', 'xml': '8815874.xml'}