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All sourcesNASA NTRSDOE OSTI
NASA NTRS2020

Acoustic space occupancy: Combining ecoacoustics and lidar to model biodiversity variation and detection bias across heterogeneous landscapes

There is global interest in quantifying changing biodiversity in human-modified landscapes. Ecoacoustics may offer a promising pathway for supporting multi-taxa monitoring, but its scalability has been hampered by the sonic complexity of biodiverse ecosystems and the imperfect detectability of animal-generated sounds. The acoustic signature of a habitat, or soundscape, contains information about multiple taxa and may circumvent species identification, but robust statistical technology for characterizing community-level attributes is lacking. Here, we present the Acoustic Space Occupancy Model, a flexible hierarchical framework designed to account for detection artifacts from acoustic surveys in order to model biologically relevant variation in acoustic space use among community assemblages. We illustrate its utility in a biologically and structurally diverse Amazon frontier forest landscape, a valuable test case for modeling biodiversity variation and acoustic attenuation from vegetation density. We use complementary airborne lidar data to capture aspects of 3D forest structure hypothesized to influence community composition and acoustic signal detection. Our novel analytic framework permitted us to model both the assembly and detectability of soundscapes using lidar-derived estimates of forest structure. Our empirical predictions were consistent with physical models of frequency-dependent attenuation, and we estimated that the probability of observing animal activity in the frequency channel most vulnerable to acoustic attenuation varied by over 60%, depending on vegetation density. There were also large differences in the biotic use of acoustic space predicted for intact and degraded forest habitats, with notable differences in the soundscape channels predominantly occupied by insects. This study advances the utility of ecoacoustics by providing a robust modeling framework for addressing detection bias from remote audio surveys while preserving the rich dimensionality of soundscape data, which may be critical for inferring biological patterns pertinent to multiple taxonomic groups in the tropics. Our methodology paves the way for greater integration of remotely sensed observations with high-throughput biodiversity data to help bring routine, multi-taxa monitoring to scale in dynamic and diverse landscapes.

Airborne lidar↗
NASA NTRSDate not supplied

An Examination of Causes of Multi-Wire Bias During SLD Instrumentation Testing in the IRT

The Icing Research Tunnel (IRT) at NASA Glenn Research Center has been using the SEA Multi-Element Sensor (aka, the multi-wire) as its primary liquid water content instrument since 2011. Recent tests in the IRT with four different multi-wire probes (i.e., different serial numbers) have indicated situations that can result in biasing of the probe data. The reference data used in this report are multi-wire data that have been proven to agree well with the icing blade in low-impingement rate conditions. Data from these recent tests suggest that the presence of a canister probe located 4.45 ft axially downstream and 2.5 ft to the side may have caused multi-wire data to read around 5% low at an airspeed of 150 kts. Additionally, two probes of different serial numbers were observed to measure 5-15% lower than the reference probes, and the causes have been linked to excessive solder on the sensing element and to an out of date element calibration. For these reasons, the authors suggest the community be aware of the possible aerodynamic influences on the probe inlet and outlet, as well as the importance of regular calibration and maintenance of the probes.

aircraft icing↗
NASA NTRSDate not supplied

An Examination of Causes of Multi-Wire Bias during SLD Instrumentation Testing in the IRT

The Icing Research Tunnel (IRT) at NASA Glenn Research Center has been using the SEA Multi-Element Sensor (aka, the multi-wire) as its primary liquid water content instrument since 2011. Recent tests in the IRT with four different multi-wire probes (i.e., different serial numbers) have indicated situations that can result in biasing of the probe data. The reference data used in this report are multi-wire data that have been proven to agree well with the icing blade in low-impingement rate conditions. Data from these recent tests suggest that the presence of a canister probe located 4.45 ft axially downstream and 2.5 ft to the side may have caused multi-wire data to read around 5% low at an airspeed of 150 kts. Additionally, two probes of different serial numbers were observed to measure 5-15% lower than the reference probes, and the causes have been linked to excessive solder on the sensing element and to an out of date element calibration. For these reasons, the authors suggest the community be aware of the possible aerodynamic influences on the probe inlet and outlet, as well as the importance of regular calibration and maintenance of the probes.

aircraft icing↗
NASA NTRS2021

Tendency Bias Correction in the GEOS AGCM

In this report, we summarize the results of global and regional TBC applied to the GEOS AGCM(the same model used to generate MERRA-2 though run at lower resolution, referred to as the M2_AGCM) employing the analysis increments (analysis minus forecast) generated by MERRA-2 to calculate the TBC terms. Extending the results of Chang et al. (2019)and Schubert et al. (2019), we examine in more detail the seasonality of the TBC impacts, including a deeper look into the reasons for why TBC appears to be least effective during boreal winter. We also look into the ability of TBC to correct other diagnostic fields such as cloudiness and surface fluxes and, more generally, attempt to provide some insight into why TBC is effective in correcting long term climate biases. Looking beyond TBC, we also present some preliminary results from an extension of the TBC approach in which we include a state-dependent term

Yehui Chang↗
NASA NTRS2021

Tropospheric Age-of-Air: Influence of SF6 Emissions on Recent Surface Trends and Model Biases

The mean age since air was last at the Northern Hemisphere (NH) midlatitude surface is a fundamental property of tropospheric transport. Here we approximate the mean age in terms of an "SF6 age" (ΓSF6), derived from surface and aircraft measurements of SF6 that are broader in spatial scope and cover a longer time period (1997-2018) than considered previously. At the surface, ΓSF6 increases from near-zero values north of 30°N to ~1.5 years over the Southern Hemisphere (SH) extratropics, with the largest meridional gradients occurring in the tropics. By comparison, vertical gradients in ΓSF6 are weak throughout, with only slight increases/decreases with height in the NH/SH. The broader spatial coverage of the measurements reveals strong variations in the seasonal cycle of ΓSF6 within the (sub)tropics that are weaker over the Atlantic and Paci c oceans, compared to over the Indian Ocean. Observations from 2000-2018 reveal that the SF6 age at sites in the SH has been decreasing by ~0.12 yr/dec. However, this decrease is not due to changes in transport but, rather, is likely related to changes in emissions, which have increased globally and reportedly shifted from northern midlatitudes into the subtropics. Simulations, which reproduce the SF6 age trends, show no decreases in an age-of-air tracer, reinforcing the fact that ΓSF6 represents only an approximation to the mean age. Finally, the modeled SF6 ages are older than observed, by ~0.3-0.4 years throughout the southern extratropics. We show that this bias is partly related to an overestimation in simulated SF6 near emissions regions,

Mean age↗
NASA NTRS2021

Biases in CloudSat Falling Snow Estimates Resulting from Daylight-Only Operations

Falling snow is a key component of the Earth’s water cycle, and space-based observations provide the best current capability to evaluate it globally. The Cloud Profiling Radar (CPR) on board CloudSat is sensitive to snowfall, and other satellite missions and climatological models have used snowfall properties measured by it for evaluating and comparing against their snowfall products. Since a battery anomaly in 2011, the CPR has operated in a Daylight-Only Operations (DO-Op) mode, in which it makes measurements primarily during only the daylit portion of its orbit. This work provides estimates of biases inherent in global snowfall amounts derived from CPR measurements due to this shift to DO-Op mode. We use CloudSat’s snowfall measurements during its Full Operations (Full-Op) period prior to the battery anomaly to evaluate the impact of the DO-Op mode sampling. For multi-year global mean values, the snowfall fraction during DO-Op changes by −10.16% and the mean snowfall rate changes by −8.21% compared with Full-Op. These changes are driven by the changes in sampling in DO-Op and are very little influenced by changes in meteorology between the Full-Op and DO-Op periods. The results highlight the need to sample consistently with the CloudSat observations or to adjust snowfall estimates derived from CloudSat when using DO-Op data to evaluate other precipitation products.

Lisa Milani↗
NASA NTRS2021

Bias Correction of Hydrologic Projections Strongly Impacts Inferred Climate Vulnerabilities in Institutionally Complex Water Systems

Water-resources planners use regional water management models (WMMs) to identify vulnerabilities to climate change. Frequently, dynamically downscaled climate inputs are used in conjunction with land-surface models (LSMs) to provide hydrologic streamflow projections, which serve as critical inputs for WMMs. Here, we show how even modest projection errors can strongly affect assessments of water availability and financial stability for irrigation districts in California. Specifically, our results highlight that LSM errors in projections of flood and drought extremes are highly interactive across timescales, path-dependent, and can be amplified when modeling infrastructure systems (e.g., misrepresenting banked groundwater). Common strategies for reducing errors in deterministic LSM hydrologic projections (e.g., bias correction) can themselves strongly distort projected climate vulnerabilities and misrepresent their inferred financial consequences. Overall, our results indicate a need to move beyond standard deterministic climate projection and error management frameworks that are dependent on single simulated climate change scenario outcomes.

Keyvan Malek↗
NASA NTRS2021

Planetary Protection Requirements and Aimpoint Biasing for Mars 2020 Mission

The Mars 2020 mission was launched from Cape Canaveral, Florida on July 30, 2020, and landed at Mars Jezero Crater on February 18, 2021. Throughout the 7-month interplanetary trajectory, there were various requirements and constraints the navigation team had to observe. Particularly pertinent to trajectory control and maneuver design were the planetary protection requirements for preventing microbial contamination of Mars. Consequently, the aimpoints for injection and early TCMs were biased away to reduce the probability of unintended Mars impact, thus satisfying these requirements. In addition, extensive pre-launch analyses were done to ensure other requirements could be met with high probabilities.

Kruizinga, Gerhard↗
NASA NTRS2024

Downscaled and Bias-Adjusted Climate Projections for Afghanistan

Climate change is already having devastating impacts on human communities and natural landscapes, from increasing severity and frequency of natural disasters to drought and desertification that degrade both natural ecosystems and human livelihoods. However, the impacts of climate change are not evenly distributed across the world—some places are at far greater risk than others. These highly vulnerable places should be a higher priority for investments and interventions to help people and nature adapt to changing climatic conditions. Afghanistan is one of the most at-risk countries from climate change. Within the country, the river basins are particularly sensitive as climate change will dramatically alter their water regimes upon which ecosystems and a vast proportion of the Afghan population and millions of people in neighbouring countries rely. As part of an EU-funded project implemented by the Wildlife Conservation Society (WCS), WCS conducted a vulnerability assessment for the Amu Darya River Basin that drains c. 14% of Afghanistan’s land area and is critically important for supporting both people and sensitive biodiversity (Elsen et al., 2023). Central to the vulnerability assessment was the development of downscaled and bias-adjusted climate projections, produced by the Center for Climate Systems Research (CCSR)1. The climate projections were produced at a much higher resolution (1 km2) than were otherwise available and were tailored to the local environment.

climate projections↗
DOE OSTI2013

Perpendicularly Biased YIG Tuners for the Fermilab Recycler 52.809 MHz Cavities

For NOvA and future experiments requiring high intensity proton beams, Fermilab is in the process of upgrading the existing accelerator complex for increased proton production. One such improvement is to reduce the Main Injector cycle time, by performing slip stacking, previously done in the Main Injector, in the now repurposed Recycler Ring. Recycler slip stacking requires new tuneable RF cavities, discussed separately in these proceedings. These are quarter wave cavities resonant at 52.809 MHz with a 10 kHz tuning range. The 10 kHz range is achieved by use of a tuner which has an electrical length of approximately one half wavelength at 52.809 MHz. The tuner is constructed from 31/8” diameter rigid coaxial line, with 5 inches of its length containing perpendicularly biased, Al doped Yttrium Iron Garnet (YIG). The tuner design, measurements, and high power test results are presented.

43 PARTICLE ACCELERATORS↗
DOE OSTI2016

Biased Tracers in Redshift Space in the EFT of Large-Scale Structure

The Effective Field Theory of Large-Scale Structure (EFTofLSS) provides a novel formalism that is able to accurately predict the clustering of large-scale structure (LSS) in the mildly non-linear regime. Here we provide the first computation of the power spectrum of biased tracers in redshift space at one loop order, and we make the associated code publicly available. We compare the multipoles $\ell=0,2$ of the redshift-space halo power spectrum, together with the real-space matter and halo power spectra, with data from numerical simulations at $z=0.67$. For the samples we compare to, which have a number density of $\bar n=3.8 \cdot 10^{-2}(h \ {\rm Mpc}^{-1})^3$ and $\bar n=3.9 \cdot 10^{-4}(h \ {\rm Mpc}^{-1})^3$, we find that the calculation at one-loop order matches numerical measurements to within a few percent up to $k\simeq 0.43 \ h \ {\rm Mpc}^{-1}$, a significant improvement with respect to former techniques. By performing the so-called IR-resummation, we find that the Baryon Acoustic Oscillation peak is accurately reproduced. Based on the results presented here, long-wavelength statistics that are routinely observed in LSS surveys can be finally computed in the EFTofLSS. This formalism thus is ready to start to be compared directly to observational data.

72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS↗
DOE OSTI2018

Progress on the Construction of the Perpendicularly Biased 2nd Harmonic Cavity for the Fermilab Booster

A perpendicularly biased tuneable 2nd harmonic cavity, designed for the Fermilab Booster, is being assembled for testing this summer (2018). The cavity will work at twice the frequency of the fundamental cavities, and will be on only during the injection and transition (or extraction) periods. The main reason for adding this cavity is to improve beam capture and reduce losses as required by Fermilab's Proton Improvement Plan (PIP). After three years optimization and study, the cavity design has now been finalized and all constituent parts have been received. We report on the cavity final design and on the status of the construction.

43 PARTICLE ACCELERATORS↗
DOE OSTI2018

Progress on the Construction of the Perpendicularly Biased 2nd Harmonic Cavity for the Fermilab Booster

A perpendicularly biased tuneable 2nd harmonic cavity, designed for the Fermilab Booster, is being assembled for testing this summer (2018). The cavity will work at twice the frequency of the fundamental cavities, and will be on only during the injection and transition (or extraction) periods. The main reason for adding this cavity is to improve beam capture and reduce losses as required by Fermilab's Proton Improvement Plan (PIP). After three years optimization and study, the cavity design has now been finalized and all constituent parts have been received. We report on the cavity final design and on the status of the construction

43 PARTICLE ACCELERATORS↗
DOE OSTI2020

Moving Beyond Bias

The benefits of diverse work groups have been well documented, and our leaders speak of the need for our laboratories to become more diverse and inclusive. Despite these motivators, the field of accelerator controls remains strikingly homogeneous. This trend continues despite many long standing programs to attract underrepresented groups to STEM careers and the explicit desire of leadership to create more inclusive organizations. Research consistently points to the strong role implicit bias plays in preventing organizations from truly providing equal opportunities. The desire to become more diverse must be coupled with a strong culture, cultivated to change deeply rooted practices which influence recruiting, hiring, development, and promotion decisions based on stereotypes rather than accomplishments and abilities. Real change in this arena requires intentional action across the board, not just from human resources and underrepresented groups. This paper discusses practical approaches to changing organizational culture to enable diverse work groups to grow and thrive.

White, Karen S.↗
DOE OSTI2023

Systematic Study of Projection Biases in Weak Lensing Analysis

The nature of Dark Energy is possibly one of the most fundamental questions in Physics today. Comprising 70% of the energy density of the Universe, and being responsible for the accelerated expansion of the Universe, this mysterious form of energy with negative pressure is challenging our current understanding of the fundamental laws of nature. Cosmological parameters like total relative matter Density Ωm, the normalization of power spectrum σ8 and their combination S8 = σ8 p Ωm/0.3 are used to quantify our understanding of the evolution of the large-scale structure in the Universe and shed light on the accelerated expansion, caused by the Dark Energy, that started about halfway through the life of the Universe. Sky surveys, like Dark Energy Survey (DES), utilize weak lensing analysis to use the observations of galaxies and their shapes and extract these cosmological parameters. By doing an exhaustive study and quantifying the projection biases in the weak lensing statistics, the research work presented in this dissertation aims to contribute to the precise measurements of the cosmological parameters Ωm, σ8, and S8. For the analysis, we used the standard cosmological model that includes dark energy as the cosmological constant. And, we used the data taken by the DES experiment, which is one of the most complete, deep, and wide field surveys of the sky today.

72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS↗
DOE OSTI2022

On the characterization of biases arising from methods and approximations used for sensitivity analyses

The preliminary assessment of the performance and safety of advanced reactors, as well as the identification of research and development needs, rely on computer simulations due to the lack of operational experience. Those simulations should be based on verified and validated computational tools, calculation schemes, and nuclear data libraries, and should be accompanied of a proper characterization of the involved uncertainties, providing confidence in the computational-based predictions. Thus, sensitivity and uncertainty studies, together with integral experiments, play an essential role in that process. Sensitivities are then a critical element and guidelines about how to produce accurate enough sensitivities depending on the subsequent analyses to be performed are of interest. The present study addresses the sensitivities biases arising from the use of different nuclear data libraries, computational methods and the assumption of modelling simplifications. Not only sensitivities for multiplication factor but also for safety-relevant reactivity responses have been analyzed. In the study, propagated uncertainties are also included for the considered parameters to illustrate the impact of the sensitivity profiles obtained for each case on the final uncertainty. Then, relevant recommendations are given for sensitivity analyses of highly complex systems. (authors)

21 SPECIFIC NUCLEAR REACTORS AND ASSOCIATED PLANTS↗
DOE OSTI2019

Ferroelectrics: Revealing the Effects of Trace Oxygen Vacancies on Improper Ferroelectric Manganite with In Situ Biasing (Adv. Electron. Mater. 4/2019)

In article number 1800827, Shaobo Cheng, Yimei Zhu and the co-workers observe a novel ferroelectric switching dynamic behavior in the single-phase multiferroic material YMnO 3 . In situ observations and corresponding numerical calculations reveal that defect chemistry plays an important role in domain switching and can be utilized as an additional parameter for controlling the electricfield distribution within multiferroic materials.

75 CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND↗