Structure and variability of earth's atmosphere Final report

Structure and density variations of earth atmosphere associated with solar flu

Range and structure of ambient density from 30 to 120 km altitude

Range and structure of atmospheric density from 30 to 120 km - analysis of statistical models and deviations from U.S. standard and Patrick reference atmosphere

Evaluating Voluntary Climate Programs in the United States

Despite serving as the principal basis of U.S. climate policy over the past two decades, corporate voluntary environmental programs have been subject to quite limited evaluation. The self-selection of participants—an essential element of such initiatives—poses particular challenges to researchers because the decision to participate may not be random and, in fact, may be correlated with the outcomes. The present study is designed to overcome these problems by gauging the environmental effectiveness of two early voluntary climate change programs with established track records, the U.S. Environmental Protection Agency’s Climate Wise program and the U.S. Department of Energy’s Voluntary Reporting of Greenhouse Gases Program, or 1605(b). Both programs provide quite flexible criteria for firms to participate. Particular attention is paid to the participation decision and how various assumptions affect estimates of program outcomes using propensity score matching methods applied to plant-level Census data. Overall, we find quite modest effects: the reductions in fuel and electricity expenditures from Climate Wise and 1605(b) are no more than 10 percent and probably less than 5 percent. Virtually no evidence suggests a statistically significant effect of either Climate Wise or 1605(b) on fuel costs. Some evidence indicates that participation in Climate Wise led to a slight (3–5 percent) increase in electricity costs that vanished after two years. Stronger evidence suggests that participation in 1605(b) led to a slight (4–8 percent) decrease in electricity costs that persisted for at least three years.voluntary, regulation, energy, climate change

Developing processing techniques for Skylab data

There are no author-identified significant results in this report

Developing processing techniques for Skylab data

There are no author-identified significant results in this report

Developing processing techniques for Skylab data

The author has identified the following significant results. The effects of misregistration and the scan-line-straightening algorithm on multispectral data were found to be: (1) there is greatly increased misregistration in scan-line-straightening data over conic data; (2) scanner caused misregistration between any pairs of channels may not be corrected for in scan-line-straightened data; and (3) this data will have few pure field center pixels than will conic data. A program SIMSIG was developed implementing the signature simulation model. Data processing stages of the experiment were carried out, and an analysis was made of the effects of spatial misregistration on field center classification accuracy. Fifteen signatures originally used for classifying the data were analyzed, showing the following breakdown: corn (4 signatures), trees (2), brush (1), grasses, weeds, etc. (5), bare soil (1), soybeans (1), and alfalfa (1)

Analysis of several relations among atmospheric statistics

Statistical equation relating mean values of pressure, temperature, and density with correction term proportional to covariance between density and temperatur