| year | month | day | dateString | spots | |
|---|---|---|---|---|---|
| 1979 | 01 | 01 | 19790101 | 224 | |
| 1979 | 01 | 02 | 19790102 | 224 | |
| 1979 | 01 | 03 | 19790103 | 270 | |
| 1979 | 01 | 04 | 19790104 | 222 | |
| 1979 | 01 | 05 | 19790105 | 207 | |
| 1979 | 01 | 06 | 19790106 | 245 | |
| 1979 | 01 | 07 | 19790107 | 231 | |
| 1979 | 01 | 08 | 19790108 | 244 | |
| 1979 | 01 | 09 | 19790109 | 234 |
Computer models can be tremendously useful in both exploring and visualizing the consequences of scientific hypotheses and comparing these predictions with data. New ideas and discoveries require new models.
In an ideal world, the necessary programming, testing, and debugging would be trivial, leaving us free to focus on the core science. In practice, however, high-quality scientific programming takes time.
`Landlab
CellLab-CTS model of grains suspended in a stirred (turbulent) fluid. Grain motion is modeled as a transition that switches the position of grain and fluid at a user-specified rate. In this example, we assume that the grains are 1 mm diameter tea leaves and the characteristic turbulent velocity fluctuation is 0.01 m/s, so that cell size equals 0.001 m and the mean transition rate is 10 cells/second.
