There certainly seem to be some interesting out-of-sequence jobs. One of my machines picked up a ach1_14_71 WU today.

Besides the two ones that I posted here I got anothe one today ach1_23_71

As you know we are currently running through 52 weeks of simulations through 82 different parameter variations. You can tell which week and parameter variation if you look at the workunit name. For example, workunit 'ach1_ 13_ 49' is the 49th parameter variation for week 13.
The workunit for ach1_14_49 depends upon the data received from workunit ach1_13_49.

We send the data back to the researchers once a given week has finished completely. For various reasons some of the parameter variations fall behind in terms of which week of the simulation they are on. This delays us in sending the data back to the researchers. As a result, we are automatically marking new workunits for the parameter variations that have fallen behind and high priority.

Dear WCG members,

AfricanClimate@Home has been running successfully for six months on world community grid since the Technical Launch last year. We at University of Cape Town would like to thank everyone who has been a part of this project.

Initial results have already been received by the UCT team of scientists. In the ongoing first phase, 82 one-year simulations are being performed and 30% of the output (112 out of 378 days) is already available for analysis. The primary concern at this stage is to guarantee that the results received are coherent. Sometimes, when working with climate models, we face some inconsistencies in the output that may require us to change a few parameters in the model and rerun it. Fortunately, the data received so far do not show any of these problems.

Figure 1 shows a kind of output plot we use in visual analysis of the data. In this example, we see the precipitation simulated for the 14 initial days of the run. The amount of precipitation and its spatial distribution over the domain show good correlation with observed values. We also make use of specialized statistical methods in analyzing received data.