Evaluation of the Type and Quantity of Data Appropriate for Model Calibration:  Case of Flood Forecasting Models
{'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}
This project will investigate the calibration and verification methods          used for flood forecasting models, with particular concern to the               hydrologic models currently in use for planning, design, and operation          of engineering systems to cope with extreme material events.  Since the         success of any calibration procedures is dependent on the quantity and          quality of available and used data, the selection of the "most                  informative" data sets is of great importance, especially because, to           date, existing calibration and verification approaches do not exploit           the full potential of the information contained in the available data.          A method and guidelines for appropriately evaluating the type and               quantity of data used in flood forecasting models will be developed.
{'FirstName': 'Soroosh', 'LastName': 'Sorooshian', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Soroosh Sorooshian', 'EmailAddress': 'soroosh@uci.edu', 'NSF_ID': '000475761', 'StartDate': '08/01/1986', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'University of Arizona', 'CityName': 'TUCSON', 'ZipCode': '85721', 'PhoneNumber': '5206266000', 'StreetAddress': '845 N PARK AVE RM 538', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Arizona', 'StateCode': 'AZ', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'AZ07', 'ORG_UEI_NUM': 'ED44Y3W6P7B9', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF ARIZONA', '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': '147400', 'Text': 'NAT & MAN-MADE HAZARD MITIGATI'}, {'Code': '912000', 'Text': 'CROSS-DIRECTORATE PROGRAMS'}, {'Code': '914500', 'Text': 'SPECIAL PROGRAMS-RESERVE'}]
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1986&All=true', 'xml': '8610584.xml'}