Studies of the Structure, Dynamics, and Numerical Predictionof Mesoscale Convective Systems
{'Code': '06020105', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'AGS', 'LongName': 'Div Atmospheric & Geospace Sciences'}}
{'SignBlockName': 'Stephan P. Nelson', 'PO_EMAI': None, 'PO_PHON': None}
Quantitative precipitation forecasts in the warm season have                historically been much poorer than in the cool season.  To a large              degree, this is because a sizeable fraction of warm season                      precipitation comes from mesoscale convective systems (MCSs) and                these systems are poorly resolved by the current operational models.            Recent observational and budget studies indicate that numerical                 prediction of these systems will require physical processes such as             precipitation drag, melting and evaporation to be incorporated into             very fine resolution mesoscale models.  The convective                          parameterization scheme used with such models must include moist                downdrafts and realistic moisture detrainment for propagating deep              convection.                                                                         Part of the proposed work focuses on the model development                  necessary to successfully simulate MCSs.  A second portion focuses on           the use of the model as a diagnostic tool to help understand the                structure and dynamics of MCSs, particularly the development of warm            core vortices in the "stratiform" region.  The final portion                    concentrates on observing-system simulation experiments in order to             help define the observational requirements (including assimilation of           profiler data) for understanding and predicting mesoscale convective            systems.
[{'FirstName': 'Thomas', 'LastName': 'Warner', 'PI_MID_INIT': 'T', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Thomas T Warner', 'EmailAddress': 'warner@rap.ucar.edu', 'NSF_ID': '000226155', 'StartDate': '11/01/1987', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'J. Michael', 'LastName': 'Fritsch', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'J. Michael Fritsch', 'EmailAddress': 'fritsch@ems.psu.edu', 'NSF_ID': '000223506', 'StartDate': '11/01/1987', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]
{'Name': 'Pennsylvania State Univ University Park', 'CityName': 'UNIVERSITY PARK', 'ZipCode': '168021503', 'PhoneNumber': '8148651372', 'StreetAddress': '201 OLD MAIN', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'StateCode': 'PA', 'CONGRESSDISTRICT': '15', 'CONGRESS_DISTRICT_ORG': 'PA15', 'ORG_UEI_NUM': 'NPM2J7MSCF61', 'ORG_LGL_BUS_NAME': 'THE PENNSYLVANIA STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}
{'Name': None, 'CityName': None, 'StateCode': None, 'ZipCode': None, 'StreetAddress': None, 'CountryCode': None, 'CountryName': None, 'StateName': None, 'CountryFlag': None, 'CONGRESSDISTRICT': None, 'CONGRESS_DISTRICT_PERF': '""'}
{'Code': '1525', 'Text': 'Physical & Dynamic Meteorology'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1987&All=true', 'xml': '8711014.xml'}