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Satellite observations from Clouds and the Earth’s Radiant Energy System (CERES) radiometers have produced over two decades of world-class data documenting time–space variations in Earth’s top-of-atmosphere (TOA) radiation budget. In addition to energy exchanges among Earth and space, climate studies require accurate information on radiant energy exchanges at the surface and within the atmosphere. The CERES Cloud Radiative Swath (CRS) data product extends the standard Single Scanner Footprint (SSF) data product by calculating a suite of radiative fluxes from the surface to TOA at the instantaneous CERES footprint scale using the NASA Langley Fu–Liou radiative transfer model. Here, we describe the CRS flux algorithm and evaluate its performance against a network of ground-based measurements and CERES TOA observations. CRS all-sky downwelling broadband fluxes show significant improvements in surface validation statistics relative to the parameterized fluxes on the SSF product, including a ∼30%–40% (∼20%) reduction in SW↓ (LW↓) root-mean-square error (RMSΔ), improved correlation coefficients, and the lowest SW↓ bias over most surface types. RMSΔ and correlation statistics improve over five different surface types under both overcast and clear-sky conditions. The global mean computed TOA outgoing LW radiation (OLR) remains within −2) of CERES observations, while the global mean reflected SW radiation (RSW) is excessive by ∼3.5% (∼9 W m−2) owing to cloudy-sky computation errors. As we highlight using data from two remote field campaigns, the CRS data product provides many benefits for studies requiring advanced surface radiative fluxes.

Rat body weights in the groups fed different EPA:omega-6 fatty acid ratios.

Table S1 shows the composition of diets fed to F344 rats.

Prostaglandin E2 (PGE2) has been linked to a higher risk of colorectal cancer. PGE2 in colon tissue can be reduced by increasing dietary eicosapentaenoic acid (EPA). The dose-dependent relationships between dietary EPA, serum EPA:arachidonate (AA) ratio, urinary PGE2 metabolites, and colonic eicosanoids were evaluated to develop biomarkers for prediction of colonic PGE2. Male rats were fed diets containing EPA:ω6 fatty acid ratios of 0, 0.1, 0.2, 0.4, or 0.6 for 5 weeks. Increasing the dietary EPA:ω6 fatty acid ratio increased EPA:AA ratios in serum and in the proximal, transverse, and distal colon (P < 0.001). The urinary PGE2 metabolite was reduced (P = 0.006). EPA-rich diets reduced colonic tissue PGE2 concentrations by 58% to 66% and increased PGE3 by 19- to 28-fold. Other AA–derived eicosanoids were reduced by 35% to 83%. The changes were not linear, with the largest changes in eicosanoids observed with the lower doses. A mathematical model predicts colonic tissue eicosanoids from the EPA:AA ratio in serum and the EPA dose. Every 10% increase in serum EPA:AA was associated with a 2% decrease in the (geometric) mean of PGE2 in the distal colon. These mathematical relationships can now be applied to individualized EPA dosing in clinical trials. Cancer Prev Res; 7(10); 1011–22. ©2014 AACR.

The NASA Aerosol Cloud meTeorology Interactions oVer the western ATlantic Experiment (ACTIVATE) produced a unique dataset for research into aerosol-cloud-meteorology interactions with applications extending from process-based studies to multi-scale model intercomparison and improvement, and remote sensing algorithm assessments and advancements. ACTIVATE used two NASA Langley Research Center aircraft, a HU-25 Falcon and King Air, to conduct systematic and spatially coordinated flights over the northwest Atlantic Ocean amounting to 162 joint flights and 17 other single-aircraft flights between 2020 and 2022 across all seasons. Data cover 574 and 592 cumulative flights hours for the Falcon and King Air, respectively. The HU-25 Falcon flew conducted profiling at different level legs below, in, and just above boundary layer clouds (< 3 km) and obtained in situ measurements of trace gases, aerosol particles, clouds, and atmospheric state parameters. In cloud-free conditions, the Falcon similarly conducted profiling at different level legs within and immediately above the boundary layer. The King Air (the high-flyer) flew at approximately ~9 km conducting remote sensing with a lidar and polarimeter while also launching dropsondes. Collectively, simultaneous data collected from both aircraft help characterize the same vertical column of the atmosphere. In addition to individual instrument files, data from the Falcon aircraft are combined into “merge files” on the publicly available data archive that are created at different time resolutions of interest (e.g., 1, 5, 10, 15, 30, 60 s, or matching an individual data product start and stop times). This paper describes the ACTIVATE flight strategy, instrument and complementary dataset products, data access and usage details, and data application notes.

Clouds are highly variable in their structure as well as phase, resulting in a potentially large influence on actinic flux densities. Chemistry-transport models rely on accurate simulations of actinic flux densities to reproduce the essential impact of photolysis processes, thus the need for accurate radiative transfer calculations in the presence of clouds arises. Current studies show that under clear sky conditions simulated and measured UV/VIS actinic flux densities are typically within 10%, independent of wavelength. On the other hand, the impact of clouds on actinic radiation is more difficult to reproduce correctly when dependent on cloud structure, phase and position, flux densities can be significantly smaller or greater compared to clear sky conditions.Following a similar approach by Ryu et al., 2016, UV/VIS spectral actinic flux densities were calculated utilizing cloud products from geostationary satellites (NASA SatCORPS). In this work, the latest version of the libRadtran model has been used, as well as aerosol properties (MODIS, MOD08_D3), surface albedos (MODIS) and total ozone columns (TEMIS, MSR-2) from polar-orbiting satellites as key input to simulate actinic flux densities in a range 280-650 nm. The evaluation of the model results is made by comparison with measured data from several campaigns with the research aircraft HALO (High Altitude and Long Range Research Aircraft) with a total of around 90 flights.Using the NASA SatCORPS products (cloud phase, cloud optical depth, cloud top height, cloud liquid or ice water content and cloud particle size) 1-D radiative transfer calculations were conducted. Radiative properties of water clouds are reliably reproduced using look-up tables based on pre-conducted radiative transfer calculations using Mie theory. On the other hand, ice clouds and their correct parametrizations are challenging because of the wide range of possible ice crystal variations. Moreover, small-scale variations captured by the highly resolved aircraft measurements cannot be reproduced completely, due to the lower spatial and temporal resolution of satellite observations. The final intent of this study is to assess the quality of the radiative transfer modelled actinic flux densities and their potential to improve chemistry-transport models.

Infrared radiance spectra measured by grating and interferometer devices will be widely available in the EOS (Earth Observing System) and NPOESS (National Polar Orbiting Environmental Satellite System) era. The future European polar satellite system, METOP, is scheduled to carry an interferometer to obtain infrared spectra. The Japanese satellite ADEOS (Advanced Earth Observing Satellite) launched on August 16, 1996 is also carrying an interferometer capable of measuring infrared spectra. These future infrared measurements will all possess spectral resolutions of better than 1 cm-1 and have quasi-continuous spectral coverage in the 3 μm ~ 15 μm region. With nearly thousands of spectra measurements at any single field of view, it is important to develop an innovative retrieval algorithm which cannot only handle a large volume of measurements but can also yield high precision sounding profiles.

The intermediate condylar canal, which lies lateral to the occipital condyles and medial to the jugular foramen, is rarely mentioned in textbooks, even those devoted to the skull base. Therefore the present anatomic study was performed to better elucidate these structures.We studied 100 adult skulls (200 sides) to better understand the prevalence and anatomy of the intermediate condylar canal.An intermediate canal was found on 6 of 200 sides (3%). On average, these canals traveled 7.1 mm lateral to the occipital condyle and had a mean of 2.2 mm posteromedial to the jugular foramen. Anteriorly, these canals opened into the external surface of the hypoglossal canal and, when present, were just medial to a paracondylar process for which there was a strong positive correlation. The length of the canals ranged from 5 to 7.8 mm. In all, there were 3 partial canals and 3 complete canals. One left canal communicated anteriorly at the confluence of the inferior opening of a septated (bifurcated) hypoglossal canal and an unnamed foramen medial to the jugular foramen. These canals were distinct from posterior condylar canals when the latter was present.Knowledge of the anatomic variants at the base of the skull may help minimize complications during surgical procedures that employ a paracondylar or transcondylar approach or approaches to the jugular foramen.

Fabricating parts using laser powder bed fusion (LPBF) is of growing interest to many fields, ranging from medical to aerospace, but this process is often plagued with residual stresses that can reach magnitudes as high as the yield strength of the material. Previous work has demonstrated the ability to reduce residual stress during LPBF by over 90% using an in situ annealing method that makes use of large area, shaped light illumination from a set of laser diodes. In this work, an in-depth analysis of the effectiveness of this in situ residual stress reduction technique is presented. A custom LPBF system was used to fabricate 316 L stainless steel parts, and the stresses of these parts were analyzed using the contour method and neutron diffraction on various planes within the samples. These spatial measurements revealed stress reductions near the edges and base of the samples in each of the three measured orthogonal stress directions, in addition to an overall reduction in stress owing to in situ application of laser diode heating. The experimental results were found to be in excellent agreement with numerical thermomechanical simulations that captured the effects of various processing parameters. Furthermore, in cases where the annealing was only performed once every 5 layers, the residual stress was similarly reduced, which indicates that further optimization might be achieved to limit additional processing time during the builds while still relieving equivalent amounts of stress.

Porous materials with engineered stretching-dominated lattice designs, which offer attractive mechanical properties with ultra-light weight and large surface area for wide-ranging applications, have recently achieved near-ideal linear scaling between stiffness and density. Here, rather than optimizing the microlattice topology, we explore a different approach to strengthen low-density structural materials by designing tube-in-tube beam structures. We develop a process to transform fully dense, three-dimensional printed polymeric beams into graphitic carbon hollow tube-in-tube sandwich morphologies, where, similar to grass stems, the inner and outer tubes are connected through a network of struts. Compression tests and computational modelling show that this change in beam morphology dramatically slows down the decrease in stiffness with decreasing density. In situ pillar compression experiments further demonstrate large deformation recovery after 30–50% compression and high specific damping merit index. Our strutted tube-in-tube design opens up the space and realizes highly desirable high modulus–low density and high modulus–high damping material structures. A nanoscale tube-in-tube sandwich structure is generated by a two-step templating-pyrolysis process, which strengthens the log-pile carbon architecture and slows down the decrease of stiffness with decreasing density.