Useful and Interesting Links
I’ve started a summary of Web sites that I have found useful. I’ll add to it as time permits.
Verification and Validation:
Sandia National Laboratories has been very active in many aspects of Verification and Validation of engineering and scientific software. The Computation, Computers, Information and Mathematics (CCIM) Department seems to be the source and you can also search the DOE Information Bridge.
You can also check a catalog of 2006 publications. Search for Oberkampf, Trucano, among others, and Verification, Validation are good starting points.
The Program for Climate Model Diagnosis and Intercomparison (PCMDI) is at the Lawrence Livermore National Laboratory (LLNL).
You’ll find at LLNL Plenty O Links to Lots O Climate stuff all over The Planet.
Online AOLGCM Information:
Information about all the major AOLGCM models/codes is readily available online. The main page for GISS of NASA is here, where you’ll find the main page for the ModelE code.
I don’t have links for the following codes yet, but I’m working on it:
There are tons of course information, including notes, presentations, links to other online information all over Web World.
A course at George Mason University has good online notes about weather, climate, and chaos: CLIM 751 Predictability of Weather and Climate, Fall 2006. Instructors: V. Krishnamurthy, David Straus and J. Shukla.
The outline is given to be:
This course covers the fundamental aspects of the predictability of weather and climate. Basic theory of the divergence of trajectories in phase space and the periodic and chaotic properties of the flow are illustrated using simple nonlinear dynamical models. The dynamics of error growth, local and global predictability, and predictability of flows with many scales will be discussed. Paradigms of turbulence and optimal linear growth to describe fundamental error growth mechanisms are explored. The predictability and error growth in large weather forecasting systems, predictability in mid-latitudes and tropics, and targeted observations will be studied. Predictability of time-mean quantities in large climate models, the role of ocean and land boundary forcings, and predictability of coupled models, ENSO models and decadal modulation of predictability will be covered.
Several of the AMS journals continue to be the source much excellent information about models and methods for AOLGCM codes. I think all the older papers (I don’t know the cut-off date) are available for online download at no cost.
The AMS Journal of Atmospheric Sciences (JAS) has many of the classics.
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