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Last modified
7/28/2009 2:40:09 PM
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4/23/2008 1:57:37 PM
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Weather Modification
Title
Microphysical Observations Over the Atlas Mountains in Morocco
Date
12/23/1988
Weather Modification - Doc Type
Report
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<br />the horizontal and 600 mb in the vertical. <br />Dynamical and microphysical structures give <br />the general airflow over the mountains, <br />estimate the ice particle growth rates and fall <br />velocities, and predict the chain of events <br />leading from nucleation to precipitation. <br />A comparison of model wind and temperature <br />estimates with aircraft measurements was made <br />over the target area on 24 February 1988. The <br />errors were small in the 100-km domain <br />upwind mountain crest; wind directions and <br />temperatures were closely reproduced. The <br />largest errors were downwind of the barrier <br />crest. <br /> <br />4. STATISTICAL DESIGN AND <br />EVALUATION <br /> <br />The development and implementation of <br />scientific evaluation procedures have been <br />considered to be essential for the success of the <br />project since its inception. The Government of <br />Morocco set up a scientific analysis and <br />evaluation team. with a specific area of work <br />assigned to each scientist. A USBR scientist <br />was assigned to collaborate with the Moroccan <br />scientists in each area of responsibility. Much <br />of this work has been reported elsewhere <br />(Baddour and Rasmussen, 1988; Baddour et aL, <br />1989; EI Majdoub et al., 1989). Therefore, this <br />section focuses on the statistical evaluation. <br />Severe drought has forced the Moroccan <br />program to operational cloud seeding where all <br />potential precipitation cases are treated when <br />feasible. This generaIJy limits the statistical <br />design choices to target only or target control, <br />with historical data supplying the nontreated <br />sample. The lack of randomization means that <br />any P values obtained are only estimates of <br />P values as defined in classical statistics. <br />The target area (fig. 1) for the Moroccan <br />program was selected based on a major water <br />source to the Oued Oum Er Rbia Basin and <br />good geographic and topographic characteristics <br />for cloud seeding. A -control area, the upper <br />reaches of the eastern Tensift Basin (fig. 1), <br />was selected because it is upwind of the target <br />for most of the important winter storms, <br />contamination by the cloud seeding is unlikely, <br />and its precipitation is well correlated with that <br />of the target area. <br />Available target and control historical <br />data consisted of daily streamflow. No <br />precipitation data were available for high <br />elevation sites within the target area. <br />A target-control design with streamflow <br />as the primary response variable was selected <br />for the Moroccan program. Evaluation is to be <br />performed with monthly and seasonal time <br />units. Hydrographs for target and control <br /> <br />steamflow indicated that the primary runoff <br />period is November through June while the <br />spring melt from high elevations starts in <br />March and trails to a base flow in July. Fast <br />streamflow response to some storms was <br />indicated suggesting that monthly analyses <br />might be productive. <br />A secOIid variable, volume of <br />precipitation obtained from application of the <br />Rhea orographic precipitation model (Rhea, <br />1978), was found useful in predicting target <br />streamflow. The model is two-dimensional, <br />steady-state, and multilayer. Input is data from <br />rawinsonde ascents. Adaptation of the model <br />to Moroccan terrain and weather conditions is <br />discussed elsewhere in these proceedings by <br />EI Majdoub et al. <br />With model-produced volume <br />precipitation integrated over the target area for <br />the November to April period and target and <br />control streamflow summed over the November <br />to July period, the variance explained by the <br />control streamflow and the model output was <br />86% by least squares multiple regression. The <br />model-generated volume precipitation for <br />monthly time periods was not well correlated <br />with measured flows since much of the <br />high-elevation precipitation, which occurs <br />during tbe December to March period, does <br />not TUn off until April tbrough July. <br />Consequently, the model does not appear <br />useful in predicting monthly flows. <br />Comparisons with a few mid-level <br />elevation stations did indicate good capability <br />by the model to predict monthly precipitation. <br />Correlations for individual stations were <br />typically 0.7 to 0.85 (EI Majdoub et aL, these <br />proceedings. ) <br />The LAD (lease-absolute-deviations) <br />n:gression and MRPP (multiresponse <br />pl~rmutation procedures), as described by <br />Mielke and Medina (1982. 1987), were selected <br />to yield evaluation procedures that are applied <br />through computer programs. Estimates of <br />P values (estimates because of the lack of <br />randomization) are produced. Estimates of <br />treatment effects are obtained by use of the <br />well-known double ratio. <br />Values of the project duration were <br />obtained according to several probability-of- <br />detection level settings, given 10 and 15% <br />simulated increases. The LAD- and MRPP- <br />based evaluation procedures were employed in <br />a rerandomization approach where 100 samples <br />were selected at random from the historical <br />data and a treatment amount applied to target <br />quantities. The P values were estimated from <br />the modified samples and the initial historical <br />data set then employed to obtain the <br />probability-of-detection, defined as (number of <br />
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