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Meteorology Today: An Introduction to Weather, Climate, and the Environment

TLDR
In this paper, the authors present an overview of the Earth and its atmosphere, including the following: 1. Earth and Its Atmosphere. 2. Earth's Changing Climate. 3. Seasonal and Daily Temperatures. 4. Atmospheric Humidity. 5. Air Pressure and Winds. 6. Stability and Cloud Development. 7. Precipitation.
Abstract
1. Earth and Its Atmosphere. 2. Energy: Warming the Earth and the Atmosphere. 3. Seasonal and Daily Temperatures. 4. Atmospheric Humidity. 5. Condensation: Dew, Fog, and Clouds. 6. Stability and Cloud Development. 7. Precipitation. 8. Air Pressure and Winds. 9. Wind: Small-Scale and Local Systems. 10. Wind: Global Systems. 11. Air Masses and Fronts. 12. Middle-Latitude Cyclones. 13. Weather Forecasting. 14. Thunderstorms. 15. Tornadoes. 16. Hurricanes. 17. Earth's Changing Climate. 18. Global Climate. 19. Air Pollution. 20. Light, Color, and Atmospheric Optics.

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Rainfall And Relative Humidity Occurrence Patterns In Uyo Metropolis, Akwa Ibom State, South- South Nigeria.

TL;DR: In this paper, a study of rainfall and relative humidity occurrence patterns between 2003 and 2012 in Uyo metropolis, Akwa Ibom State has been carried out using data collected from the meteorology data station of the University of Uyo.
DissertationDOI

Numerical study on the curling and warping of hardened rigid pavement slabs

Yinghong Qin
Abstract: What the ways to estimate the heat convection coefficient tell us? 43 4.2.2 Does wind speed still greatly influence both the thermal stress and temperature across the slabs in other regions?. Figure 2.2 Predicted versus in-situ observed temperature (dotted data reproduced from Yu et al. (1998). Note: air temperature is 19.8oC; daily peak value of the solar radiation is 630 W/m2; daily air temperature amplitude is 9.0oC; daily wind speed is 3m/s; the slab' thickness is 12inch therein.. Note: some days are rainy data such that the solar radiation is less than o C is used in order to magnify the computed of the model. <0 o C results in a complex number using Eq. vii Figure 4.4 The predicted thermal stress profile through a slab on a sunny day. The effect of heat history on the stress developed in a JPCP slab (a) top and (b) bottom of a JCPC slab.. Figure 8.6 slab-stress profiles at the cyclically-stable time suggest that the total stresses divert from the thermal stress; maximum tensile stress at the bottom appears 13:00PM, maximum compressive stress the top at night time (In Reno). Preface This dissertation computes the environmental loadings that in-service pavement slabs are subjects to. It develops a heat transfer model to predict the slab temperatures and then proposes a heat-transfer and moisture transport model to simulate the slab-moisture distribution. The environmental loadings are computed by uses of predicted temperatures and predicted moisture to evaluate the curling and warping of the slab. For the sake of simplicity, the computation considers only the stresses developed in joint plain concrete pavement slab and treats the slab as a beam that has visco-elastic, drying-creep behaviors. Other than the environmental loadings, the sensitivity of the local weather conditions to the slab-moisture and-temperature distributions are also of the dissertation's concern. The dissertation investigates the role of air temperature, wind speed, and solar radiation on the slab temperature; it assesses the influence of the wind speed, local annual rainfall distribution, and air relative humidity on the slab-moisture distribution. The dissertation contains 9 chapters. Chapter 1 presents the research significance regarding the models to predicted slab moisture and slab temperature and also reviews the literatures relative to this modeling. Chapter 2 develops a model to simulate the slab temperature distribution. Chapter 3 investigates the impact of air temperature on the temperature profile of in-service pavement slabs. This chapter has been …
Journal ArticleDOI

Applications of the PUFF model to forecasts of volcanic clouds dispersal from Etna and Vesuvio

TL;DR: The first application of the PUFF model in forecasting volcanic ash dispersion from the Etna and Vesuvio volcanoes is described and it is proved that the dynamical parameters that most influence the variability of plume dispersal are the duration of the eruption and the maximum column height.
Journal ArticleDOI

Individual exposure to traffic related air pollution across land-use clusters

TL;DR: In this paper, the authors investigated the relationship between individual emissions of NO x and exposure to nitrogen dioxide (NO 2 ) concentrations derived from a land-use regression model and found that the emissions generated per individual are positively associated with vehicle ownership, gender, and employment status.
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