Laserfiche WebLink
<br /> <br /> <br />. <br />. <br />. <br />. <br />. <br />. <br />. <br />. <br />. <br />. <br />. <br />. <br />. <br />. <br />. <br />. <br />. <br />. <br />. <br />. <br />. <br />. <br />. <br />. <br />. <br />. <br />. <br />. <br />. <br />. <br />. <br />. <br />. <br />. <br />. <br />. <br />. <br />. <br />. <br />. <br />. <br />. <br /> <br />the mountains. These problems became noticeable about mid-January and <br />persisted into February 2004. The problems were basically solved through <br />making the following changes: allowing the initialization of frozen soil moisture <br />at sub-freezing temperatures; fixing the coding error in the thermal energy <br />content formulation for soil; and switching back to the standard mass- <br />conserving and horizontal-diffusion scheme. These changes were combined <br />with a doubling of the low-level vertical grid spacing (delta-z in the model) that <br />generally prevents the runaway cooling that occurs frequently using that <br />scheme with the original 150 m vertical grid spacing. For the February 14, <br />2004 real-time model forecast run (still a pretty cold regime), delta-z was <br />increased to 300 m. A test showed that this change lessened, but did not <br />eliminate, the excessive cooling problem; there was still unreasonable surface <br />cooling in the February 14 real-time run. After February 14, there were no <br />additional changes made to the real-time forecast model; all three fixes were <br />operative, with a delta-z of 300 m. Even after the model fixes were <br />implemented on February 14, there still remained a low-level warm <br />temperature bias and a simulated precipitation over prediction bias. <br /> <br />2.8 post-operational RAMS Control and Seeding Runs <br /> <br />After the model fixes were implemented in mid-February 2004, the real- <br />time model forecasts improved significantly. However, as CSU began <br />experimenting with the model seeding runs. it became evident that even the <br />improved real-time forecasts were unusable as control no-seed runs. This was <br />because the model code that was developed to simulate seeding effects <br />through a second IFN category was substantially different from the model code <br />used for the real-time forecasts, with inconsistencies in microphysical options <br />that made evaluation of subtle seed/no-seed effects difficult. Due to these <br />inconsistencies and the earlier problems described previously, it was <br />determined that after-the-fact control no-seed as well as seed model runs <br />would have to be performed for the entire DW 2003-2004 Program's <br />operational period (November 2003 through March 2004). This was necessary <br />in order to get completely consistent pairs of control/seed runs, which differed <br />only due to the Introduction of Agl and its activation in seeding runs. <br /> <br />The initial sets of control no-seed and seed runs indicated unexpected <br />seeding effects. There were very small differences in simulated precipitation <br />fields. More unexpectedly, the patterns of the difference fields on some of the <br />days were generally organized into positive and negative bands aligned more <br />or less with the mean wind and extending across much of the 3-km fine grid, <br />far upwind and laterally from the target area. Figure 2.15 shows an example of <br />such a seed - control simulated precipitation difference analysis. The targeting <br />wind for this seeding event was 275 to 325 degrees. In this figure, the + signs <br />followed by numbers are locations of SNOTEL sites. The difference scale <br />along the right side of the figure provides for a maximum value of 2.00 mm <br />(0.08 in), but the maximum 24-hr difference indicated in the figure is only about <br /> <br />33 <br /> <br />- <br />