A Stochastic Integration Toolkit fo rComprehensive Global Weather and Climate Models

Award Information
Agency: Department of Commerce
Branch: N/A
Contract: WC133R09CN0114
Agency Tracking Number: 09-31
Amount: $399,948.10
Phase: Phase II
Program: SBIR
Solicitation Topic Code: 8.2.3
Solicitation Number: NOAA-2009-1
Solicitation Year: 2009
Award Year: 2010
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): 2012-08-15
Small Business Information
DUNS: 827943692
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 J. Kerce
 Co-Founder, Principal Research Scientist
 (404) 790-1850
Business Contact
 J Kerce
Title: Co-Founder, Principal Research Scientist
Phone: (404) 790-1850
Email: ckerce@gmail.com
Research Institution


Stochastic parameterization of large scale models is becoming an important tool for evaluating climate predictability and for enabling accurate representation of effects of micro-scale and short time physics on long time climate statistics. The models currently used to evaluate climate risk do not incorporate these stochastic effects, but represent multi-year development and collaboration between tens to hundreds of scientists spanning a number of disciplines in the atmospheric, physical and numerical sciences. Because of the significant time and resources that have been devoted to the development and validation of these models, there is a critical need to develop approaches to stochastic parameterization that are minimally invasive to the existing model structure. Argos Intelligence is addressing this issue by developing the Stochastic Parameterization Toolkit (SPT) to bridge the technology gap between the established stochastic integration techniques and operational numerical prediction models. SPT will provide a platform for introducing stochastic terms into existing code base using a simple, high-level, user-friendly language.

* Information listed above is at the time of submission. *

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