Hailstorm data from a fixed network for the evaluation of a hail modification experiment
| dc.contributor.author | Schleusener, Richard A., author | |
| dc.contributor.author | Marwitz, John D., author | |
| dc.contributor.author | Cox, William L., author | |
| dc.contributor.author | Colorado State University, publisher | |
| dc.coverage.spatial | Colorado | |
| dc.date.accessioned | 2019-09-17T18:59:19Z | |
| dc.date.available | 2019-09-17T18:59:19Z | |
| dc.date.issued | 1964-04 | |
| dc.description | CER64RAS-JDM-WLC13. | |
| dc.description | April 1964. | |
| dc.description | Includes bibliographical references. | |
| dc.description | Prepared for submission to Journal of Applied Meteorology. | |
| dc.description.abstract | Hailfall data collected from a fixed network in northeastern Colorado during three seasons (1960-62) included the estimated impact energy, duration of hailfall, most common stone size, maximum stone size, and number of stones per square inch. These basic data, X, along with the transformations; ln X, √X, ∛X and 1/X were analyzed by computer methods to determine which parameters could be used in a statistical analysis of hail suppression experiment. The gamma distribution function was fitted to the hailfall data by the method of maximum likelihood. A chi-square goodness of fit test was applied to the data, and one transformation was tested using a sequential analysis technique. All parameters except impact energy and number of hailstones per square inch were eliminated from the statistical analysis because of bias, non-homogeneity, or sparsity of samples. Transformations which produced the minimum mean coefficient of variations were logarithm of impact energy (ln E) and square root of the number of stones per square inch (√(N_(1-6) ) ). It was determined that a target control analysis was not feasible for the analysis of hail suppression experiment. A period of 3 to 5 years is believed to be necessary to detect changes of 10 to 25 percent in the hail parameters. The gamma distribution function fitted only the (√(N_(1-6) ) ) data. From the results it was conclude that a sequential analysis test alone could not adequately evaluate the effectiveness of a hail modification experiment. | |
| dc.format.medium | technical reports | |
| dc.identifier.uri | https://hdl.handle.net/10217/198030 | |
| dc.language | English | |
| dc.language.iso | eng | |
| dc.publisher | Colorado State University. Libraries | |
| dc.relation | Catalog record number (MMS ID): 991012568519703361 | |
| dc.relation.ispartof | Civil Engineering Reports | |
| dc.relation.ispartof | CER, 64-13 | |
| dc.rights | Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright. | |
| dc.subject.lcsh | Hail -- Colorado | |
| dc.subject.lcsh | Hail control -- Colorado | |
| dc.title | Hailstorm data from a fixed network for the evaluation of a hail modification experiment | |
| dc.type | Text | |
| dcterms.rights.dpla | This Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). |
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