E-1 Monthly Statistical Movement Summary for Entire Iowa Department of Corrections, Iowa Department of Corrections, January 2003

Monthly Statistical Movement Summary for Entire Iowa Department of Corrections

E-1 Monthly Statistical Movement Summary for Entire Iowa Department of Corrections, Iowa Department of Corrections, August 2002

Monthly Statistical Movement Summary for Entire Iowa Department of Corrections

E-1 Monthly Statistical Movement Summary for Entire Iowa Department of Corrections, Iowa Department of Corrections, March 2003

Monthly Statistical Movement Summary for Entire Iowa Department of Corrections

E-1 Monthly Statistical Movement Summary for Entire Iowa Department of Corrections, Iowa Department of Corrections, April 2003

Monthly Statistical Movement Summary for Entire Iowa Department of Corrections

E-1 Monthly Statistical Movement Summary for Entire Iowa Department of Corrections, Iowa Department of Corrections, May 2003

Monthly Statistical Movement Summary for Entire Iowa Department of Corrections

E-1 Monthly Statistical Movement Summary for Entire Iowa Department of Corrections, Iowa Department of Corrections, May 2003

Monthly Statistical Movement Summary for Entire Iowa Department of Corrections

E-1 Monthly Statistical Movement Summary for Entire Iowa Department of Corrections, Iowa Department of Corrections, June 2003

Monthly Statistical Movement Summary for Entire Iowa Department of Corrections

E-1 Monthly Statistical Movement Summary for Entire Iowa Department of Corrections, Iowa Department of Corrections, February 2003

Monthly Statistical Movement Summary for Entire Iowa Department of Corrections

E-1 Monthly Statistical Movement Summary for Entire Iowa Department of Corrections, Iowa Department of Corrections, September 2003

Monthly Statistical Movement Summary for Entire Iowa Department of Corrections

E-1 Monthly Statistical Movement Summary for Entire Iowa Department of Corrections, Iowa Department of Corrections, October 2003

Monthly Statistical Movement Summary for Entire Iowa Department of Corrections

E-1 Monthly Statistical Movement Summary for Entire Iowa Department of Corrections, Iowa Department of Corrections, November 2003

Monthly Statistical Movement Summary for Entire Iowa Department of Corrections

E-1 Monthly Statistical Movement Summary for Entire Iowa Department of Corrections, Iowa Department of Corrections, July 2003

Monthly Statistical Movement Summary for Entire Iowa Department of Corrections

Using a Parameterization of a Radiative Transfer Model to Build High-Resolution Maps of Typical Clear-Sky UV Index in Catalonia, Spain

To perform a climatic analysis of the annual UV index (UVI) variations in Catalonia, Spain (northeast of the Iberian Peninsula), a new simple parameterization scheme is presented based on a multilayer radiative transfer model. The parameterization performs fast UVI calculations for a wide range of cloudless and snow-free situations and can be applied anywhere. The following parameters are considered: solar zenith angle, total ozone column, altitude, aerosol optical depth, and single-scattering albedo. A sensitivity analysis is presented to justify this choice with special attention to aerosol information. Comparisons with the base model show good agreement, most of all for the most common cases, giving an absolute error within 0.2 in the UVI for a wide range of cases considered. Two tests are done to show the performance of the parameterization against UVI measurements. One uses data from a high-quality spectroradiometer from Lauder, New Zealand [45.04°S, 169.684°E, 370 m above mean sea level (MSL)], where there is a low presence of aerosols. The other uses data from a Robertson–Berger-type meter from Girona, Spain (41.97°N, 2.82°E, 100 m MSL), where there is more aerosol load and where it has been possible to study the effect of aerosol information on the model versus measurement comparison. The parameterization is applied to a climatic analysis of the annual UVI variation in Catalonia, showing the contributions of solar zenith angle, ozone, and aerosols. High-resolution seasonal maps of typical UV index values in Catalonia are presented

Runaway Greenhouse Effect in a Semigray Radiative-Convective Model

The effects of the nongray absorption (i.e., atmospheric opacity varying with wavelength) on the possible upper bound of the outgoing longwave radiation (OLR) emitted by a planetary atmosphere have been examined. This analysis is based on the semigray approach, which appears to be a reasonable compromise between the complexity of nongray models and the simplicity of the gray assumption (i.e., atmospheric absorption independent of wavelength). Atmospheric gases in semigray atmospheres make use of constant absorption coefficients in finite-width spectral bands. Here, such a semigray absorption is introduced in a one-dimensional (1D) radiative– convective model with a stratosphere in radiative equilibrium and a troposphere fully saturated with water vapor, which is the semigray gas. A single atmospheric window in the infrared spectrum has been assumed. In contrast to the single absolute limit of OLR found in gray atmospheres, semigray ones may also show a relative limit. This means that both finite and infinite runaway effects may arise in some semigray cases. Of particular importance is the finding of an entirely new branch of stable steady states that does not appear in gray atmospheres. This new multiple equilibrium is a consequence of the nongray absorption only. It is suspected that this new set of stable solutions has not been previously revealed in analyses of radiative–convective models since it does not appear for an atmosphere with nongray parameters similar to those for the earth’s current state

Report of Recommendations to the Iowa Department of Corrections, June 30, 2002

State Agency Audit Report