Some aspects of user needs for an air-launched, expendable free-drifting buoy

Research objectives were determined based on user's needs in which an airlaunched, free-drifting buoy would significantly contribute to the accomplishment of these objectives. The objectives were formulated through discussions with individuals representing federal and state agencies and universities. The most immediate need was in continental shelf oceanography which required data to characterize circulation in a localized mesoscale region. A tentative plan for the North Carolina Outfall Study was presented. Data from air-launched, expendable free-drifting buoys would be used in this study not only to characterize the circulation off the North Carolina coast, but also to provide data by which a three-dimensional hydrodynamic model could be verified

A comparison of surfaces temperatures from HCMM infrared data with field measurements

Heat Capacity Mapping Mission surface temperatures were compared to field data obtained in the Mississippi River, in the Atlantic Ocean in the vicinity of the Nantucket Shoals, and in the eastern Gulf of Mexico. The absolute and relative accuracies of the infrared data were determined

Marine applications of HCMM satellite data

Results of a limited comparison of HCMM sea surface temperature data with in situ data suggest that the HCMM data can provide a rather accurate representation of the sea surface temperature and temperature pattern. In the Nantucket Shoals region, the HCMM analysis provided data on the surface heating and on transport south of Nantucket Island and Nantucket Sound. The analyses also revealed the sea surface temperature structure of an anticyclonic warm ring

Monitoring the Chesapeake Bay using satellite data for Superflux III

The TIROS-N and NOAA-6, and GOES visible infrared satellite data were used to identify and locate surface oceanographic thermal fronts for the purpose of issuing daily and premission advisory briefings in support of the Superflux 3 in situ and remote sensing experiment in the Chesapeake Bay region. Satellite data were collected for the period 1 - 22 October 1980. A summary of that data is presented

Exploring Ethnocultural Differences in Distress of Newly Arrived Refugees During Early Resettlement: A Mixed Methods Dissertation

This mixed methods dissertation explored potential differences in distress levels between newly arrived refugees from Bhutan/Nepal, Burma, Iraq, Somalia and the Democratic Republic of Congo during the first year of resettlement in Denver, Colorado. Utilizing RHS-15 quantitative outcomes and demographic data collected approximately every 3 months for 1 year, three approaches to propensity score analysis were performed with risk set matching on balancing time-varying covariates across treatment conditions at each time point. Subsequently, a three-way factorial ANOVA was conducted to examine mean differences in distress levels between treatment group, ethnocultural background, and time. In addition, clinical interview data were analyzed through a deductive coding framework to triangulate and contextualize quantitative findings. At arrival, newly arrived refugees from Iraq reported the highest level of emotional distress followed by refugees from the DRC; whereas refugees from Bhutan/Nepal, Burma and Somalia endorsed lower levels of distress. These differences were statistically significant. In semi-structured clinical interviews, newly arrived refugees with higher distress in early resettlement reported lower monthly incomes, higher unemployment, unstable and uncomfortable housing, greater cultural and English language barriers, chronic health issues/pain and disabilities, and poor access to social support from family and friends. In contrast, newly arrived refugees with lower distress described living in comfortable and safe home environments with family and friends, stronger English skills and cultural knowledge, and greater job prospects or employment. Findings highlight the need for screening tools to assess factors related to safety and stability in newly arrived refugees, such as access to basic needs, English skills, employment readiness, and social support, as these were found to explain differences in distress levels across the first year of resettlement. Future research should develop screening items that are grounded in culturally-specific expressions of distress, as the present study found ethnocultural background impacted newly arrived refugees\u27 endorsement of distress symptoms. A discussion of study challenges and limitations is also provided in conclusion

Senegalese land surface change analysis and biophysical parameter estimation using NOAA AVHRR spectral data

Surface biophysical estimates were derived from analysis of NOAA Advanced Very High Spectral Resolution (AVHRR) spectral data of the Senegalese area of west Africa. The parameters derived were of solar albedo, spectral visible and near-infrared band reflectance, spectral vegetative index, and ground temperature. Wet and dry linked AVHRR scenes from 1981 through 1985 in Senegal were analyzed for a semi-wet southerly site near Tambacounda and a predominantly dry northerly site near Podor. Related problems were studied to convert satellite derived radiance to biophysical estimates of the land surface. Problems studied were associated with sensor miscalibration, atmospheric and aerosol spatial variability, surface anisotropy of reflected radiation, narrow satellite band reflectance to broad solar band conversion, and ground emissivity correction. The middle-infrared reflectance was approximated with a visible AVHRR reflectance for improving solar albedo estimates. In addition, the spectral composition of solar irradiance (direct and diffuse radiation) between major spectral regions (i.e., ultraviolet, visible, near-infrared, and middle-infrared) was found to be insensitive to changes in the clear sky atmospheric optical depth in the narrow band to solar band conversion procedure. Solar albedo derived estimates for both sites were not found to change markedly with significant antecedent precipitation events or correspondingly from increases in green leaf vegetation density. The bright soil/substrate contributed to a high albedo for the dry related scenes, whereas the high internal leaf reflectance in green vegetation canopies in the near-infrared contributed to high solar albedo for the wet related scenes. The relationship between solar albedo and ground temperature was poor, indicating the solar albedo has little control of the ground temperature. The normalized difference vegetation index (NDVI) and the derived visible reflectance were more sensitive to antecedent rainfall amounts and green vegetation changes than were near-infrared changes. The information in the NDVI related to green leaf density changes primarily was from the visible reflectance. The contribution of the near-infrared reflectance to explaining green vegetation is largely reduced when there is a bright substrate

A comparison of HCMM surface temperatures with in situ temperature data

All HCMM required were processed. Calibrated and atmospherically corrected sea surface temperatures were developed for the Nantucket Shoals and Gulf of Mexico regions. These data were analyzed and the sea surface temperatures along the various transacts were compared with in situ data. The comparisons indicate that there is, on the average, a root mean square difference between the in situ data and the HCMM sea surface temperatures of + or - 1.0 C. The linear correlation coefficient was 0.97

A preliminary study of the application of HCMM satellite data to define initial and boundary conditions for numerical models: A case study in St. Louis, Missouri

Infrared and visible HCMM data were used to examine the potential application of these data to define initial and boundary conditions for mesoscale numerical models. Various boundary layer models were used to calculate the distribution of the surface heat flux, specific humidity depression (the difference between the specific humidity in the air at approxmately the 10 m level and the specific humidity at the ground), and the eddy vicosity in a 72 km by 72 km area centered about St. Louis, Missouri. Various aspects of the implications of the results on the meteorology of St. Louis are discussed. Overall, the results indicated that a reasonable estimate of the surface heat flux, urban albedo, ground temperature, and specific humidity depression can be obtained using HCMM satellite data. Values of the ground-specific humidity can be obtained if the distribution of the air-specific humidity is available. More research is required in estimating the absolute magnitude of the specific humidity depression because calculations may be sensitive to model parameters

Development and Implementation of a Remote- Sensing and In-situ Data Assimilating Version of CMAQ for Operational PM\u3csub\u3e2.5\u3c/sub\u3e Forecasting Part 1: MODIS Aerosol Optical Depth (AOD) Data- Assimilation Design and Testing

Air quality forecasts are now routinely used to understand when air pollution may reach unhealthy levels. For the first time, an operational air quality forecast model that includes the assimilation of remotely-sensed aerosol optical depth and ground based PM2.5 observations is being used. The assimilation enables quantifiable improvements in model forecast skill, which improves confidence in the accuracy of the officially-issued forecasts. This helps air quality stakeholders be more effective in taking mitigating actions (reducing power consumption, ridesharing, etc.) and avoiding exposures that could otherwise result in more serious air quality episodes or more deleterious health effects

Development and Implementation of a Remote- Sensing and In-situ Data Assimilating Version of CMAQ for Operational PM\u3csub\u3e2.5\u3c/sub\u3e Forecasting Part 1: MODIS Aerosol Optical Depth (AOD) Data- Assimilation Design and Testing

Air quality forecasts are now routinely used to understand when air pollution may reach unhealthy levels. For the first time, an operational air quality forecast model that includes the assimilation of remotely-sensed aerosol optical depth and ground based PM2.5 observations is being used. The assimilation enables quantifiable improvements in model forecast skill, which improves confidence in the accuracy of the officially-issued forecasts. This helps air quality stakeholders be more effective in taking mitigating actions (reducing power consumption, ridesharing, etc.) and avoiding exposures that could otherwise result in more serious air quality episodes or more deleterious health effects