Development of a Dynamically Based Stochastic Precipitation Model at the Sub-Synoptic Scale
{'Code': '06020102', '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}
Convection produces significant amounts of precipitation in a              wide variety of atmospheric disturbances. In some places and times              convection produces the entire annual rainfall.  Hydrologists,                  largely concerned with the structure and evolution of observed                  rainfall patterns, have been successful in devising statistical                 description of these events though unable to relate the latter to the           relevant physical processes in the atmosphere.  Meteorologists on the           other hand, have devised various formulations of convection but often           are unable to compute or infer rainfall amounts at the ground in                sufficient detail for hydrological purposes.                                         This research will combine these disparate approaches to produce           a stochastic model capable of relating the statistical results to               several known meteorological processes using an existing model of               convection. The results should not only illuminate the physics of               mesoscale precipitation but provide some measure of insight into the            illusive character of how convection modifies the near atmospheric              environment. Such a model could account for both the spatial                    structure and temporal evolution of convective rainfall.                             The work will be jointly supported by the Meteorology Program              and NASA.
{'FirstName': 'Rafael', 'LastName': 'Bras', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Rafael Bras', 'EmailAddress': 'rlbras@gatech.edu', 'NSF_ID': '000479396', 'StartDate': '06/15/1987', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'Massachusetts Institute of Technology', 'CityName': 'CAMBRIDGE', 'ZipCode': '021394301', 'PhoneNumber': '6172531000', 'StreetAddress': '77 MASSACHUSETTS AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'MA07', 'ORG_UEI_NUM': 'E2NYLCDML6V1', 'ORG_LGL_BUS_NAME': 'MASSACHUSETTS INSTITUTE OF TECHNOLOGY', 'ORG_PRNT_UEI_NUM': 'E2NYLCDML6V1'}
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[{'Code': '1522', 'Text': 'PHYSICAL METEOROLOGY'}, {'Code': '1525', 'Text': 'Physical & Dynamic Meteorology'}, {'Code': '1819', 'Text': None}, {'Code': '2374', 'Text': None}, {'Code': '3072', 'Text': None}]
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1986&All=true', 'xml': '8611458.xml'}