Studies of the Optimal Use and Economic Value of Weather andClimate Information
{'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}
The overall objective of this research is to investigate the               optimal use and economic value of weather and climate                           information.  Static and dynamic models of decision-making                      situations that are sensitive to weather and/or climate                         information, together with appropriate economic, models, will be                used to study these use/value issues.  The research focuses on                  the formulation, analysis, and application of such models, and on               the evaluation of the use and value of various types of                         meteorological information - and the assessment of quality/value                relationships for such information - in particular decision-                    making problems.                                                                     Specific objectives of the research relates to important                   extensions of previous work including: (a) formulation and                      application of decision-making models in situations involving the               simultaneous consideration of short-term and long-term strategies               and/or short-term and long-term strategies and/or short range and               long-range information; (b) the analysis of the effects of                      decision makers' risk preferences on the use and value of                       meteorological information; and (c) the development and                         application of methods of obtaining market level estimates of the               overall value of such information to producers and consumers.                   Both prototype and real-world applications will be examined.                    This project is important because it should provide more                        realistic models of weather/climate sensitive decision-making                   situations, more credible results concerning the use and value of               meteorological information, and more reliable characterizations                 of quality/value relationships for such information.
[{'FirstName': 'Richard', 'LastName': 'Katz', 'PI_MID_INIT': 'W', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Richard W Katz', 'EmailAddress': 'rwk@ucar.edu', 'NSF_ID': '000243049', 'StartDate': '10/15/1987', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Allan', 'LastName': 'Murphy', 'PI_MID_INIT': 'H', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Allan H Murphy', 'EmailAddress': None, 'NSF_ID': '000105022', 'StartDate': '10/15/1987', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]
{'Name': 'Oregon State University', 'CityName': 'CORVALLIS', 'ZipCode': '973318655', 'PhoneNumber': '5417374933', 'StreetAddress': '1500 SW JEFFERSON AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Oregon', 'StateCode': 'OR', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'OR04', 'ORG_UEI_NUM': 'MZ4DYXE1SL98', 'ORG_LGL_BUS_NAME': 'OREGON 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': '5740', 'Text': 'Climate & Large-Scale Dynamics'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1987&All=true', 'xml': '8714108.xml'}