Investigation into Tsunami Wave Height Probability Distribu-tions
{'Code': '07030000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CMMI', 'LongName': 'Div Of Civil, Mechanical, & Manufact Inn'}}
{'SignBlockName': 'Clifford J. Astill', 'PO_EMAI': None, 'PO_PHON': None}
This research makes an innovative application of the statistics of              extreme values to predict tsunami wave heights.  The approach has been          applied in recent years, with good success, to predict floods and storm         waves.  The application of this methodology to tsunami research is new.         The study will specifically resolve the following three significant             issues in tsunami prediction:  calculating the symptotic distribution           that is appropriate to estimate extreme tsunami wave heights, finding           the correct approach to use the historical record to predict tsunami            parameters, and evaluating the impact of uncertainties in predicting            the 100- and 500-year tsunamic wave heights.
{'FirstName': 'Harold', 'LastName': 'Loomis', 'PI_MID_INIT': 'G', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Harold G Loomis', 'EmailAddress': None, 'NSF_ID': '000218834', 'StartDate': '07/15/1985', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'University of Hawaii', 'CityName': 'HONOLULU', 'ZipCode': '968222247', 'PhoneNumber': '8089567800', 'StreetAddress': '2425 CAMPUS RD SINCLAIR RM 1', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Hawaii', 'StateCode': 'HI', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'HI01', 'ORG_UEI_NUM': 'NSCKLFSSABF2', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF HAWAII', 'ORG_PRNT_UEI_NUM': None}
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{'Code': '5596', 'Text': 'EARTHQUAKE HAZDS MITIGAT-SITIN'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1984&All=true', 'xml': '8419221.xml'}