Atmospheric Carbon and Transport - America (ACT-America) Data Sets: Description, Management, and Delivery.

The ACT-America project is a NASA Earth Venture Suborbital-2 mission designed to study the transport and fluxes of greenhouse gases. The open and freely available ACT-America data sets provide airborne in situ measurements of atmospheric carbon dioxide, methane, trace gases, aerosols, clouds, and meteorological properties, airborne remote sensing measurements of aerosol backscatter, atmospheric boundary layer height and columnar content of atmospheric carbon dioxide, tower-based measurements, and modeled atmospheric mole fractions and regional carbon fluxes of greenhouse gases over the Central and Eastern United States. We conducted 121 research flights during five campaigns in four seasons during 2016-2019 over three regions of the US (Mid-Atlantic, Midwest and South) using two NASA research aircraft (B-200 and C-130). We performed three flight patterns (fair weather, frontal crossings, and OCO-2 underflights) and collected more than 1,140 h of airborne measurements via level-leg flights in the atmospheric boundary layer, lower, and upper free troposphere and vertical profiles spanning these altitudes. We also merged various airborne in situ measurements onto a common standard sampling interval, which brings coherence to the data, creates geolocated data products, and makes it much easier for the users to perform holistic analysis of the ACT-America data products. Here, we report on detailed information of data sets collected, the workflow for data sets including storage and processing of the quality controlled and quality assured harmonized observations, and their archival and formatting for users. Finally, we provide some important information on the dissemination of data products including metadata and highlights of applications of ACT-America data sets.

Dust Impacts on the 2012 Hurricane Nadine Track during the NASA HS3 Field Campaign.

During the 2012 deployment of the NASA Hurricane and Severe Storm Sentinel (HS3) field campaign, several flights were dedicated to investigating Hurricane Nadine. Hurricane Nadine developed in close proximity to the dust-laden Saharan Air Layer, and is the fourth longest-lived Atlantic hurricane on record, experiencing two strengthening and weakening periods during its 22-day total lifecycle as a tropical cyclone. In this study, the NASA GEOS-5 atmospheric general circulation model and data assimilation system was used to simulate the impacts of dust during the first intensification and weakening phases of Hurricane Nadine using a series of GEOS-5 forecasts initialized during Nadine's intensification phase (12 September 2012). The forecasts explore a hierarchy of aerosol interactions within the model: no aerosol interaction, aerosol-radiation interactions, and aerosol-radiation and aerosol-cloud interactions simultaneously, as well as variations in assumed dust optical properties. When only aerosolradiation interactions are included, Nadine's track exhibits sensitivity to dust shortwave absorption, as a more absorbing dust introduces a shortwave temperature perturbation that impacts Nadine's structure and steering flow, leading to a northward track divergence after 5 days of simulation time. When aerosol-cloud interactions are added, the track exhibits little sensitivity to dust optical properties. This result is attributed to enhanced longwave atmospheric cooling from clouds that counters shortwave atmospheric warming by dust surrounding Nadine, suggesting that aerosol-cloud interactions are a more significant influence on Nadine's track than aerosol-radiation interactions. These findings demonstrate that tropical systems, specifically their track, can be impacted by dust interaction with the atmosphere.

Congestive heart failure presence predicts delayed healing of foot ulcers in diabetes: An audit from a multidisciplinary high-risk foot clinic.

AIMS: This retrospective study aimed to investigate both established and less well-explored factors as potential predictive variables for failed and delayed ulcer healing. METHODS: Patients with type 1 or 2 diabetes with foot ulceration presenting consecutively to, and then subsequently managed at, a multidisciplinary, high-risk foot clinic were followed until ulcer healing, amputation or death. Data comprised prospective standardised documentation at each visit and retrospective collection from hospital records, and included patient demographics, comorbidities, laboratory variables, and ulcer infection, depth and area at each presentation. Multiple regression analysis was used to determine independent predictors of failure to heal and delayed healing. RESULTS: Of the 107 consecutive patients studied, 95 (89%) healed overall, 50 (47%) had healed in 12 weeks and the mean healing rate was a 10% decrease in ulcer area per week. Amongst all variables examined, comorbid congestive heart failure (CHF) was the only factor independently predictive of all measured outcomes of failure to heal overall, delayed healing at 12 weeks, and reduced healing rate. Ulcer infection at presentation, longer duration of antibiotic use, and liver enzyme abnormalities of raised ALT and AST:ALT<1 (each suggestive of non-alcoholic fatty liver disease), were also predictive of poor ulcer outcomes. CONCLUSIONS: Comorbid congestive cardiac failure is predictive of delayed foot ulcer healing rate as well as a lower probability of healing overall. Liver enzyme abnormalities also predicted delayed ulcer healing outcomes. The mechanisms underlying these associations with foot ulcer outcomes in diabetes are unclear. Further studies are needed to determine the role of systematic routine documentation of heart failure and its severity, and then targeting of heart failure to potentially aid the management of foot ulcers in diabetes.

Age of diabetes diagnosis and diabetes duration associate with glycated haemoglobin.

An earlier age of diagnosis (r=-0.28, p<0.0001) and longer duration of type 2 diabetes (r=0.26, p<0.0001) were each found to correlate with higher HbA1c level, on analysis of a diabetes centre database in people under regular shared care. When combined, these biological variables strongly associate with the current HbA1c level.

Modeling the performance of direct-detection Doppler lidar systems including cloud and solar background variability.

Previous modeling of the performance of spaceborne direct-detection Doppler lidar systems assumed extremely idealized atmospheric models. Here we develop a technique for modeling the performance of these systems in a more realistic atmosphere, based on actual airborne lidar observations. The resulting atmospheric model contains cloud and aerosol variability that is absent in other simulations of spaceborne Doppler lidar instruments. To produce a realistic simulation of daytime performance, we include solar radiance values that are based on actual measurements and are allowed to vary as the viewing scene changes. Simulations are performed for two types of direct-detection Doppler lidar system: the double-edge and the multichannel techniques. Both systems were optimized to measure winds from Rayleigh backscatter at 355 nm. Simulations show that the measurement uncertainty during daytime is degraded by only approximately 10-20% compared with nighttime performance, provided that a proper solar filter is included in the instrument design.

Validation of wind profiles measured with incoherent Doppler lidar.

A high-resolution incoherent Doppler lidar has been constructed at the University of Michigan Space Physics Research Laboratory. The primary purpose of this lidar is to measure vertical profiles of the horizontal wind field with high spatial and temporal resolution. In mid-1994 a rawinsonde system was used to assess the performance of the lidar. The resulting comparisons of profiles from the balloons and the lidar are shown. The comparisons show an ~2-m/s rms error between the two systems. The reasons for this error are discussed, and a sensitivity study is shown to illustrate the sensitivity of the lidar wind measurements to various system parameters. Finally, steps that are being taken to improve the systematic errors are discussed.

Analysis techniques for the recovery of winds and backscatter coefficients from a multiple-channel incoherent Doppler lidar.

The University of Michigan has developed an incoherent-detection Doppler lidar system that continuously measures vertical profiles of horizontal winds and aerosol backscatter. An overview of the instrument is given, followed by a description of improvements that have been made to control the system stability. Most notably, an active feedback system has been implemented to improve the laser frequency stability. A detailed forward model of the instrument is developed that includes many subtle effects, such as detector nonlinearity. A nonlinear least-squares inversion method is then described that permits the recovery of Doppler shift and aerosol backscatter without requiring assumptions about the molecular component of the signal. Examples of wind and aerosol backscatter profiles are shown to illustrate the capabilities of the fitting method.

Ethnic differences in the prevalence of hypertension and proteinuria in NIDDM.

There are large ethnic differences in both the prevalence of diabetes and the pattern of clinical complications, especially diabetic nephropathy and coronary heart disease. The aim of this study was to compare ethnic differences in the prevalence of two important risk factors, hypertension and proteinuria, among 1845 consecutive patients with non-insulin-dependent diabetes mellitus (NIDDM) undergoing annual complications assessment. Using a well-established database and systematic methods of data collection, information on clinical, demographic and laboratory variables was compared among seven ethnic groups: Anglo-Celtic (n = 896), Italian (n = 246), Greek (n = 209), Arabic (n = 147), Chinese (n = 131), Indian (n = 115) and Aborigine (n = 101). The odds ratios (OR) for developing hypertension (relative to Anglo-Celtic subjects) were lower in all ethnic groups, especially Arabs (OR = 0.4), Indians (OR = 0.4) and Aborigines (OR = 0.6). By contrast, the odds ratios for proteinuria (relative to Anglo-Celts) were consistently higher in all ethnic groups, e.g. Arabs (OR = 3.0) and Aborigines (OR = 3.1), even after correction for age, duration of diabetes and glycaemic control. Thus, relative to Anglo-Celtic patients, other ethic groups are less likely to have hypertension and more likely to have proteinuria. These findings may have important implications for understanding the ethnic differences in onset and progression of diabetic nephropathy.

Low literacy: a problem in diabetes education.

Eighty-five diabetic patients who were proficient in English were studied to assess the impact of educational material of varying literacy levels on patient comprehension. Two samples of available diabetes foot care material of Grade 11 and 9 readability (measured by SMOG formula) and purposely written in-house material of Grade 6 readability were used. Patients were randomized to read information of either Grade 6 and Grade 11 or Grade 6 and Grade 9 readability. Socio-demographic data and reading habits were collected to allow for identification of literacy markers. The mean CLOZE score (a measure of comprehension) was better in patients who read the Grade 6 information than for both the Grade 11 and Grade 9 information (59.5 +/- 11.8, 46.8 +/- 22.0, 45.8 +/- 22.2 respectively, p < 0.001). When evaluated in terms of percent of patients that could independently understand the material, Grade 6 information outperformed the Grade 11 and Grade 9 information (60%, 19%, 21%, respectively, p < 0.001). For the Grade 11 and Grade 9 information, poorer comprehension was associated with a non-English speaking background, early school leaving age, infrequent reading habits, and preference for tabloids (p < 0.02). Comprehension when patients read the Grade 6 information was no longer dependent on two of the four identified literacy markers. We conclude that reducing literacy demands of health literature improves patients' comprehension. Attention to socio-demographic data and reading habits can assist educators in assessing patients' literacy status and ensuring patients are given literature of compatible readability.