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Last modified
7/28/2009 2:28:59 PM
Creation date
1/15/2007 1:23:35 PM
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Weather Modification
Project Name
Journal of Weather Modification Abstract
Title
Simulations of Snowpack Augmentation in the Colorado Rocky Mountains
Prepared For
Weather Modification Association
Prepared By
William Cotton, Colorado State University
Date
5/1/2006
State
CO
Weather Modification - Doc Type
Scientific Study
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<br />April 2006 <br /> <br />COTION ET AL. <br /> <br /> <br />63 <br /> <br />3.0 RESULTS <br /> <br />. <br /> <br />The model control simulations produced a <br />reasonable qualitative pattern of total pre- <br />cipitation and its topographic dependence <br />for the 30 selected days. The 30-day simu- <br />lated precipitation total showed only light <br />precipitation over the entire SE leg and <br />south half of the SW leg of the target area. <br />Thus the model suggests little orographic <br />precipitation potential and perhaps little <br />cloud seeding potential over the two south <br />legs of the target area. <br /> <br />We briefly summarize the results of this project. <br />For further details the reader is referred to the final <br />technical report (Hartzell et aI., 2(05) at the website: <br />http://rams.atmos .col ostate.edu/clseedin2/orog- <br />reports.html <br /> <br />The major results of this research project are as <br /> <br />follows: <br /> <br />. <br /> <br />WWC (Larry Hjermstad) pointed out the <br />forecast model exhibited a warm tempera- <br />ture bias at 700 mb which reduced its effec- <br />tiveness as a decision tool for determining if <br />seeding operations should proceed. Causes <br />of the warm bias were determined and fixes <br />were made in mid-February 2004. The entire <br />winter season was re-run to provide a better <br />estimate of natural and seeded precipitation. <br />However, the model fixes did not entirely <br />eliminate the low-level warm bias. <br /> <br />· The model forecast precipitation data were <br />evaluated against SNOTEL data using <br />MRBP statistical analysis procedures. The <br />results from the evaluation show that the <br />model is describing the non-seeded and <br />seeded simulation equally well. While the <br />signal of the fits is strong (all P-values about <br />1.0E-6 or less), the agreement measures are <br />not outstanding (all fall between 0.18 and <br />0.26). <br /> <br />. <br /> <br />WWC (Larry Hjermstad) found that after the <br />model fixes had been implemented in mid- <br />February 2004 and the RAMS real-time <br />forecast ??oo UTC cycle was run on the <br />new PC cluster, the forecast output that was <br />posted on the Web site was very useful. The <br />low-level warm temperature problem had <br />been greatly reduced and the model pro- <br />vided timely input for operational cloud <br />seeding decision making. There were nu- <br />merous forecast products and parameters to <br />evaluate. In addition to the 2-hr forecast <br />presentations, the animated forecast loops <br />provided a quick visual picture of changes <br />over time. <br /> <br />· Comparison of model-predicted non-seeded <br />precipitation (control) versus seeded precipi- <br />tation revealed that there was essentially no <br />difference between the 86-day seed and con- <br />trol average totals (difference of -1.0 mm) <br />for the 30 days selected for model precipita- <br />tion evaluation seed and control average to- <br />tals (difference of -0.2 mm). <br /> <br />· Lagrangian trajectory analyses of six se- <br />lected days of the subset of 30 days selected <br />for precipitation evaluation revealed that <br />particles are generally being transported to <br />the target area as intended. On average, 54% <br />of those particles are 50-500 m AGL, with <br />another 34% in the layer 500-1000 m AGL, <br />which are levels suitable for AgI seeding. <br /> <br />. <br /> <br />The thirty cloud-seeding days were selected <br />for use in detailed post-season research <br />evaluations. The 30 days were chosen as the <br />"best" representative examples of cases with <br />potential seedability, with a characteristic <br />"targeting wind" for each case ranging from <br />south-southwest through west to north- <br />north-west. When compared to measured <br />24-hr precipitation at 61 SNOTEL sites the <br />model exhibited a mean precipitation bias of <br />1.88. The highest bias areas included the <br />Target Area. The lowest bias areas were in <br />more upwind areas in northwesterly and <br />southwesterly events. Possible sources of <br />those biases are discussed in the final report <br />and are currently still under investigation. <br /> <br />· The Lagrangian analyses confirm that gen- <br />erators should not be used when the target- <br />ing wind would not carry their plumes over <br />the target area. Low level trapping of parti- <br />cles can become moderate in nocturnal in- <br />versions, but significant numbers of particles <br />escape the inversions and are transported by <br />the targeting wind as intended. It appears <br />that generators located on the lee side of <br />mountain ranges may be in stagnation zones <br />or rotors associated with high amplitude <br />mountain waves, leading to moderate local <br />trapping. <br /> <br />- Reviewed - <br />
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