Comparison Study of Models Used to Prescribe Hydrometeor Water Content Values


Book Description

In this report, the calculation of riometer absorption during several PCA events of particular interest is presented. These calculations are based on earlier work in which an improved effective recombination coefficient was derived and an atmospheric model for (1) each month of the year, (2) day and night, and (3) 60 deg N and 90 deg N latitude was presented. In this report, the calculated values of riometer absorption are presented for 5 PCA events: 2 Nov. 69, 7 Mar. 70, 25 Jan. 71, 2 Sep. 71, and 3 Aug. 72. The calculated values of riometer absorption are compared with experimental values measured for both day and night conditions at Thule, Greenland. An approximate connection between riometer absorption and the square-root of the proton flux for nighttime conditions is presented. This relationship, which has previously been applied only for daytime conditions, is discussed both on a fundamental level and on the level of verification by comparison with experiment. In addition, the basic equation widely used to calculate riometer absorption is compared with the original Sen-Wyller result.




Comparison Study of Models Used to Prescribe Hydrometeor Water Content Values


Book Description

A preliminary study was made of several analytical techniques used to deduce profiles of integrated liquid water content (LWC). Comparison was made with aircraft and/or radar measurements for two sets of cases in order to determine if one or more of the modeling techniques would consistently yield more representative values than the others over a period of time. A brief description of the techniques used and the results of the statistical analyses applied to this study are presented. Also, a comparison of the integrated LWC for each case at the 10, 8, 6, 4 and 2 kilometer and surface levels is presented in tabular form.




An Evaluation of the Smith-Feddes Model


Book Description

A model designed to produce estimates of water contents and number density distributions at any time and geographical location was published in 1974. Known by its authors names as the 'Smith-Feddes', this model is initiated by gridded, data-base information from the 3DNEPH (or RTNEPH) and Hemispherical analyses. The Smith-Feddes has been used periodically with mixed results and the implicit assumption has been that new, more definitive cloud physics information would improve the model's consistency which is investigated to develop it into a useful tool for future Air Force planning and operations. The initial phase of this study was essentially an exercise to gain familiarity with both the Smith-Feddes and the initiating analyses. Three weather situations were defined by water content and temperature-versus-altitude profiles derived from aircraft measurements. The model was then exercised for the same situations and the results of the separate analyses were then compared. This report describes this investigation and details our observations and conclusions based on the results of this comparison study. It is recommended that no further time be expended in an effort to improve the 3DNEPH/RTHNEPH, Smith-Feddes model, as it is unable to consistently produce water-content values within reasonable error bounds. However, certain cloud-physics concepts used in the model may be incorporated in a new model specifically designed to produce cloud and precipitation estimates from climatological data.







Horizontal Scale Variations in Satellite Estimates of Weather Erosion Parameters for Reentry Systems


Book Description

A weather erosion parameter known as the Environmental Severity Index (ESI) has been estimated using infrared and visible data from satellites. Cloud sampling requirements limited the original prediction equations to satellite data averaged over a horizontal scale of 70 km. Further experiments have demonstrated great utility for satellite estimates on a scale of 10 km and also revealed some systematic differences between the coarse and the fine scale estimates. The ESI averages 1 percent to 10 percent higher for the fine scale estimates and high values of ESI are observed more frequently. (Author).













Report on Research at AFCRL.


Book Description