Towards a Unified Probabilistic Framework for Estimation of Rainfall Extremes
{'Code': '07030000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CMMI', 'LongName': 'Div Of Civil, Mechanical, & Manufact Inn'}}
{'SignBlockName': 'J. Eleonora Sabadell', 'PO_EMAI': None, 'PO_PHON': None}
The goal of this work is to develop a unified probabilistic                     framework, based on both theory and data interpretation, to                     assess the uncertainty of extreme rainfall.  This research is                   directed toward the development of a risk-based design as an                    alternative to the currently used quasi-deterministic Probable                  Maximum Precipitation (PMP) procedure.  Three main tasks will be                undertaken:  1) to derive the probability of exceedance                         associated with the PMP by assessing and combining the errors                   involved in each step of its computation; 2) to perform an                      exploratory statistical analysis of an available data base of                   extreme storms in order to derive mathematical descriptions of                  the spatial and time distribution of rainfall extremes; and 3) to               explore probabilistic methods to assess the exceedance                          probabilities of extreme precipitation.
{'FirstName': 'Efi', 'LastName': 'Foufoula-Georgiou', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Efi Foufoula-Georgiou', 'EmailAddress': 'efi@uci.edu', 'NSF_ID': '000482645', 'StartDate': '07/01/1987', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'Iowa State University', 'CityName': 'AMES', 'ZipCode': '500112103', 'PhoneNumber': '5152945225', 'StreetAddress': '1350 BEARDSHEAR HALL', 'StreetAddress2': '515 MORRILL ROAD', 'CountryName': 'United States', 'StateName': 'Iowa', 'StateCode': 'IA', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'IA04', 'ORG_UEI_NUM': 'DQDBM7FGJPC5', 'ORG_LGL_BUS_NAME': 'IOWA STATE UNIVERSITY OF SCIENCE AND TECHNOLOGY', 'ORG_PRNT_UEI_NUM': None}
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[{'Code': '1474', 'Text': 'NAT & MAN-MADE HAZARD MITIGATI'}, {'Code': '9120', 'Text': 'CROSS-DIRECTORATE PROGRAMS'}]
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1987&All=true', 'xml': '8708825.xml'}