Advanced Fisheries Management 
and Information System


Short-term Nowcasts and Forecasts Issued from April 17, 2000 - May 15, 2000

All RTDOC Issued Forecast Products:
April 17 - April 18, 2000
April 19 - April 21, 2000
April 24 - April 25, 2000
April 26 - April 28, 2000
May 1 - May 2, 2000
May 3 - May 5, 2000
May 8 - May 9, 2000
May 10 - May 12, 2000
May 15 - May 16, 2000
Simulations carried out prior to RTDOC:
Example of Observational System Simulation Experiment (OSSE)
March 26 - April 2, 2000
April 9 - April 12, 2000
April 12 - April 13, 2000
Brian J. Rothschild
Lead  Principal Investigator
Allan R. Robinson
Principal Investigator - Harvard
Demonstration Chief Scientist
Merlin Miller
Principal Investigator 
Physical Sciences, Inc.
CMAST: James Bisagni
Avijit Gangopadhyay
Hyun-Sook Kim
Lyon Lanerolle
Glenn Strout
Miles A. Sundermeyer
Harvard: Patrick Haley
Pierre Lermusiaux
Wayne Leslie
Carlos Lozano
Patricia Moreno

Support provided by the National Aeronautics and Space Administration, and the Office of Naval Research

The Advanced Fisheries Management Information System (AFMIS) is intended to apply state-of-the-art multidisciplinary and computational capabilities to high-frequency operational fisheries management. The system development concept is aimed toward: 1) utilizing information on the "state" of ocean physics, biology, and chemistry; the assessment of spatially-resolved fish-stock population dynamics and the temporal-spatial deployment of fishing effort to be used in the operational management of fish stocks; and, 2) forecasting and understanding physical and biological conditions leading to recruitment variability. Systems components are being developed in the context of using the Harvard Ocean Prediction System to support or otherwise interact with the: 1) synthesis and analysis of very large data sets; 2) building of a multidisciplinary multiscale model (coupled ocean physics/N-P-Z/fish dynamics/management models) appropriate for the northwest Atlantic shelf, particularly Massachusetts Bay and Georges Bank; 3) the application and development of data assimilation techniques; and, 4) with an emphasis on the incorporation of remotely sensed data into the data stream. 

This nowcasting and forecasting exercise is intended to demonstrate important aspects of the AFMIS concept by producing real time coupled forecasts of physical fields, biological and chemical fields, and fish abundance fields. Forecasts in three spatial dimensions will be produced to verify the physics, to validate the biology and chemistry but only to demonstrate the concept of forecasting the fish fields, since the fish dynamical models are at a very early stage of development. In addition, it is intended to demonstrate the integrated system concept and to consider the implication of coupling a management model.

Use Policy and Disclaimer

The forecasts presented here have been generated by researchers at the University of Massachusetts Dartmouth and Harvard University for demonstration purposes only.  Information provided here should not be used for purposes of navigation, policy making, or decisions regarding commercial fishing activities.  Distribution of forecast products is restricted to participants and authorized affiliates of the Applied Fisheries Management and Information System (AFMIS) program sponsored by the National Aeronautic and Space Administration (NASA). The contents of this site include raw data and preliminary analyses which, pending publication, are considered proprietary by AFMIS program participants. The availability of these data and analyses on this web site does not imply permission to use, copy, reproduce, or re-distribute these data.  Permission must be obtained from the AFMIS principal investigators before these data may be used for research purposes outside the scope of AFMIS.