Testbed model and data assimilation for ARM. Progress report No. 3, 1 September 1992--30 April 1993

Technical Report · Wed Apr 28 04:00:00 EDT 1993

DOI:https://doi.org/10.2172/10102463· OSTI ID:10102463

Louis, J F

The ultimate objectives of this research are to further develop ALFA (AER Local Forecast and Assimilation) model originally designed at AER for local weather prediction and apply it to several related purposes in connection with the Atmospheric Radiation Measurement (ARM) program: (a) to provide a testbed that simulates a global climate model in order to facilitate the development and testing of new cloud parametrizations and radiation models; (b) to assimilate the ARM data continuously at the scale of a climate model, using the adjoint method, thus providing the initial conditions and verification data for testing parametrizations; (c) to study the sensitivity of a radiation scheme to cloud parameters, again using the adjoint method, thus demonstrating the usefulness of the testbed model. The data assimilation uses a variational technique that minimizes the difference between the model results and the observation during the analysis period. The adjoint model is used to compute the gradient of a measure of the model errors with respect to nudging terms that are added to the equations to force the model output closer to the data.

• Research Organization: Atmospheric and Environmental Research, Inc., Cambridge, MA (United States)
• Sponsoring Organization: USDOE, Washington, DC (United States)
• DOE Contract Number: FG02-90ER61065
• OSTI ID: 10102463
• Report Number(s): DOE/ER/61065--3; ON: DE94000432
• Country of Publication: United States
• Language: English

Related Subjects

54 ENVIRONMENTAL SCIENCES
540110
BASIC STUDIES
EARTH ATMOSPHERE
MATHEMATICAL MODELS
METEOROLOGY
PROGRESS REPORT
RADIATION MONITORING