WMOD00176

• Project Name: Annual Report
• Title: Seeding Operations & Atmospheric Research, 2005 Annual Report
• Prepared By: Duncan Axisia
• Date: 12/31/2005
• Weather Modification - Doc Type: Report

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Table 8: Type 8 Seeded Sample versus Virtual Control Sample (2 couples, averages)

Variable Seeded Sample Control Sample Simple Ratio Increases (%)
Lifetime ,g0min 175 min 1.09 9
Area , , 1.02 2
346 km 338 km
Volume 774 km' 744 km3 1.04 4
Volume , , 1.07 7
Above 6 km 31 km 29km
Prec. Flux 3921 m'/s 3804 m'/s '.03 3
Prec. Mass 38307 klon 34796 klon 1.10 10

An increase of 10 % in precipitation mass for a control value of 34 796 klon in 2 cases may mean:

!J.) = 2 x 0.10 x 34 796 klon = 69 59.2 klon = 5 637 ac-f

The total increase: li=lij+!J.,+!J.1 = 14675ac-f

Micro-regionalization

Increases in precipitation mass were analyzed county by county in an attempt to better describe the
performance and corresponding results. Table 5 below offers the details:

Initial Extended Acre-feet Inches Rain %
County (season
seeding seeding (increase) (increase) value) (increase)
Gaines 3 5 15600 0.19 9.0 2.0
Yoakum 3 3 5500 0.13 13.4 1.0
Tenv 4 5 7300 0.15 11.21 1.3
Cochran 4900
Dawson 1200
Hocklev 1800
Texas 10 13 36300 0.16 11.2 1.4

Note: 60 '% of the increase over Texas was due to doud propagation from New Mexico

Final Comments

1. Results are evaluated as good: in reality the amount of seeded clouds in 2005 is not large
enough to indicate regular patterns. especially in Texas. The amount of missed opportunities
was relatively large. Maintenance seeding should be something to consider in the future.
together with a stable staff.

2. The micro-regionalization analysis showed ina-eases per county; however. the increases
estimated for the Texas counties appear to be too small to represent signals above the
variability noise.

3. Radar estimations of precipitation should be considered as measurements of trend

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