cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7983357
title: DEFINING THE MULTISCALAR INDEX TIMESCALE - SOIL WATER DEPTH CONTINUUM FOR THE SOUTHWESTERN UNITED STATES

description: Site-specific daily matric potential values (MPData Model-X MLRA-X Soil Texture) in intervals from 0-200cm. Cross references soil hydraulic parameters, latitude and longitude coordinates with Site Soil Data.csv. Precipitation and Water Deficit data (for SPI and SPEI calculation) for all sites can be found in Precipitation Data.csv and Water Deficit Data.csv, respectively. Daily meteorological values for each site can be found in (MeteoData Model-X MLRA-X Soil Texture).csv
DOI: 10.5281/zenodo.7983356
title: DEFINING THE MULTISCALAR INDEX TIMESCALE - SOIL WATER DEPTH CONTINUUM FOR THE SOUTHWESTERN UNITED STATES

description: Site-specific daily matric potential values (MPData Model-X MLRA-X Soil Texture) in intervals from 0-200cm. Cross references soil hydraulic parameters, latitude and longitude coordinates with Site Soil Data.csv. Precipitation and Water Deficit data (for SPI and SPEI calculation) for all sites can be found in Precipitation Data.csv and Water Deficit Data.csv, respectively. Daily meteorological values for each site can be found in (MeteoData Model-X MLRA-X Soil Texture).csv
DOI: 10.48577/jpl.npboft
title: Experimental Investigation of the Photochemical Production of Hydrocarbons in Warm Gas Giant Exoplanet Atmospheres

description: AbstractIn warm (equilibrium temperature &lt; 1000 K), gas giant exoplanet atmospheres, the observation of trace species in abundances deviating from thermochemical equilibrium predictions could be used as an indicator of disequilibrium chemical processes such as photochemistry. To predict which compounds could be used as such tracers, it is therefore essential to study how photochemical processes affect their abundances. For this purpose, we investigated experimentally the efficiency of the photochemical formation of hydrocarbons in gas mixtures representative of warm gas giant atmospheres as a function of the gas temperature at millibar pressures. We find that, compared to thermal reactions alone, photochemistry efficiently promotes, under the studied conditions, the formation of hydrocarbons, with the detection of acetylene, ethane, and propane, as well as carbon monoxide. Therefore, our results confirm the importance of photochemistry in exoplanet atmospheres as a disequilibrium process. Ethane is the major hydrocarbon formed in our experiments, in apparent contradiction with the prediction by thermo-photochemical models that acetylene should be the main hydrocarbon product. We also observe an evolution of the hydrocarbon production efficiency as a function of the temperature, a behavior not reproduced by a 0D thermo-photochemical model. Additional studies are necessary to definitively understand the origin of the differences between experimental and modeling results and infer the importance of our results for understanding hydrocarbons formation in warm gas giant exoplanet atmospheres. Finally, our work demonstrates the importance of experimental studies together with modeling studies to accurately interpret, understand, and predict observations of exoplanet atmospheres.
DOI: 10.48577/jpl.bshfhi
title: Two decades of temperature and specific humidity variance scaling with the Atmospheric Infrared Sounder

description: A two-decade climatology of height-resolved horizontal variance scaling exponents (𝛼) for temperature (T) and specific humidity (q) is described using Aqua Atmospheric Infrared Sounder (AIRS) sounding profiles. The AIRS Team Version 6 (V6), Version 7 (V7), and Community Long-term Infrared Microwave Combined Atmospheric Product System (CLIMCAPS) retrieval algorithms are compared to ERA5 and MERRA-2 reanalyses. Large-scale T exponents derived between 600–1200 km (𝛼L) show close agreement between V6, V7, and CLIMCAPS algorithms. However, small-scale q exponents derived between 150–400 km (𝛼S) are in poor agreement, including an unrealistically steep 𝛼S in the planetary boundary layer (PBL) in the V7 and CLIMCAPS algorithms that is caused by a combination of algorithm damping and overconstraint by the first guess fields. ERA5 and MERRA-2 reanalyses have large values of 𝛼L and 𝛼S for both T and q that indicate reduced small-scale variability in the reanalysis fields. Differences in 𝛼S between free-running MERRA-2 AMIP and the MERRA-2 reanalysis are negligible, implying that suppressed small-scale variability in reanalyses is imposed by the background model and not caused by the data assimilation process. AIRS has positively skewed T distributions in the tropical free troposphere that is consistent with positively buoyant air parcels in convection, and negative skewness in the PBL that is related to the existence of cold pools, behavior that is mostly absent in ERA5 and MERRA-2. AIRS provides a global view of scale-dependent variance and skewness that is useful for subgrid parameterization development and validation of weather and climate prediction models.
DOI: 10.48577/jpl.89n1fr
title: Spatially Constrained Retrieval for Imaging Spectroscopy

description: Imaging spectrometers provide important Earth surface data for terrestrial and aquatic ecology, hydrology, geology through retrieved surface reflectance spectra. Surface reflectance must be recovered from measured radiance through model inversions of the surface and atmospheric system. Current retrieval approaches typically treat all pixels independently, ignoring spatial correlations in the atmosphere for neighboring pixels, which results in surface-related biases in the retrieved surface and atmospheric parameters. In this work, we present a mathematical framework to more accurately retrieve surface reflectance and atmospheric parameters by leveraging the expected spatial smoothness of the atmosphere. This framework retrieves the full spatial-spectral reflectance data cube in a computationally efficient manner and is to our knowledge the first approach capable of accurately finding this global solution for large imaging spectroscopy datasets. We implement this mathematical framework in an example proposed algorithm which we call spatially constrained optimal estimation (SCOE). We show that SCOE improves the overall surface reflectance retrieval error, reduces surface-related biases in the retrieved surface reflectance and atmospheric parameters, and is more robust to noise than the traditional pixel-by-pixel approach in simulated and experimental results. This reduction in surface reflectance error will impact science data products across application areas, making imaging spectroscopy algorithms more robust for global acquisitions.
DOI: 10.48577/jpl.6l1vuo
title: Predicting PM2.5 Concentrations Across USA Using Machine Learning

description: Fine particulate matter with a size less than 2.5 µm (PM2.5) is increasing due to economic growth, air pollution, and forest fires in some states in the United States. Although previous studies have attempted to retrieve the spatial and temporal behavior of PM2.5 using aerosol remote sensing and geostatistical estimation methods the coarse resolution and accuracy limit these methods. In this paper the performance of machine learning models on predicting PM2.5 is assessed with Linear Regression (LR), Decision Tree (DT), Gradient Boosting Regression (GBR), AdaBoost Regression (ABR), XG Boost (XGB), k-nearest neighbors (KNN), Long Short-Term Memory (LSTM), Random Forest (RF), and support vector machine (SVM) using PM2.5 station data from 2017-2021. To compare the accuracy of all the nine machine learning models the coefficient of determination (R2 20 ), root mean square error (RMSE), Nash-Sutcliffe efficiency (NSE), root mean square error ratio (RSR), and percent bias (PBIAS) were evaluated. Among all nine models the RF and SVM models were the best for predicting PM2.5 concentrations. Comparison of the PM2.5 performance metrics displayed that the models had better predictive behavior in the western United States than that in the eastern United States
DOI: 10.48577/jpl.ns4dym
title: Evidence for Fine-Grained Material at Lunar Red Spots: Insights from Thermal Infrared and Radar Data Sets

description: Lunar red spots, mostly found in the nearside maria, are small volcanic features that are proposed to be the result of non-mare volcanism. Studies have shown that a number of red spots are highly silicic, and are spectrally distinct from both highlands and mare compositions. In this work, we use data from LRO Diviner, Mini-RF, and Arecibo to investigate the material properties of a number of red spots. We create updated albedo maps using Diviner daytime solar reflectance data to use as an input to our thermophysical model, and calculate the rock abundance (RA) and H-parameter values that best fit Diviner nighttime thermal infrared radiance measurements. H-parameter can be considered analogous to the thermal inertia of the regolith, with high H-parameter corresponding to low thermal inertia. We find that the red spots generally have low RA, and do not have uniform H-parameter but contain localized regions of high H-parameter. We additionally compare our Diviner results with radar datasets from LRO Mini-RF and Arecibo, finding that the red spots have low circular polarization ratio (CPR) in many of the same locations that show low RA and high H-parameter. Low RA, high H-parameter, and low CPR indicates a relative lack of rocks larger than ~10 cm, which is consistent with previous findings of a mantling of fine-grained pyroclastic material at a number of the red spots. Areas with high H-parameter but that do not show clear signs of pyroclastics in other datasets may be evidence of previously undiscovered pyroclastics, or could be due to the unique physical properties (e.g., porosity, rock strength/breakdown resistance) of the silicic rocks that make up the red spots.
DOI: 10.48577/jpl.na5uli
title: Enhanced high-temperature thermoelectric performance of Yb4Sb3 via Ce/Bi double doping and metallic contact deposition for device integration

description: Thermoelectric (TE) for very high temperatures (&gt; 800 K) have numerous poten- tial applications in the heavy industry and the space exploration. This article focus on the compound Yb4Sb3 which is a promising p-type counterpart to the structurally related and high-performance n-type RE3Te4 (RE = Nb, La, Pr) for the fabrication of high temperature TE modules. A quick and ecient method for synthesizing pure and fully-dense Yb4Sb3 samples was developed and optimized using high-energy ball milling followed by reactive spark plasma sintering. The technique was utilized to produce a new series of doubly doped CexYb4−xBi0.2Sb2.8 compounds. X-ray diraction and scan- ning electron microscopy (SEM) were employed to establish the solubility limit of Ce, which was determined to be x = 0.4. TE properties for Yb4Sb3 and Ce0.4Yb3.6Bi0.2Sb2.8 were measured up to 1273 K, revealing that the doping strategy was eective in reduc- ing the charge carrier concentration and thermal conductivity. This led to a signicant increase in the TE gure-of-merit ZT from 0.2 to 0.4 at 1273 K. This study eventually conducted a preliminary examination of the realization of metallic contacts on Yb4Sb3 through SPS. The results showed that two robust TE legs with Ni and Cu contacts were successfully produced, and SEM analyses was used to study the diusion that occurred at the interfaces. The measured electric contact resistances were very promising, with average values of 2 and 1 μΩ cm2 for Ni and Cu contacts, respectively.
DOI: 10.48577/jpl.tv9yxw
title: Discussing the Future Role of Documentation in the Context of Modern Software Engineering (ISoLA 2022 Track Introduction)

description: The article provides an introduction to the track: Program- ming - What is Next?: The Role of Documentation, organized by Klaus Havelund and Bernhard Steffen as part of ISoLA 2022: the 11th Inter- national Symposium On Leveraging Applications of Formal Methods, Verification and Validation.
DOI: 10.48577/jpl.0kiypm
title: Planning and Execution of Juno Radio Occultation Experiments at Jupiter

description: Since entering orbit around Jupiter in July 2016, the Juno spacecraft has made unprecedented strides in understanding Jupiter’s atmosphere, magnetosphere, and interior structure. In June 2021, Juno completed its Prime Mission and entered the Extended Mission phase to continue exploring the Jovian system. Juno is equipped with an X-band telecommunications link and a Ka-band radio science link which allow precision measurements of the Doppler shift between the spacecraft and NASA’s Deep Space Network with the primary purpose of determining Jupiter’s gravitational field. In Juno’s Extended Mission, the scope will expand beyond gravity field studies. Radio occultations to measure the ionosphere properties of Ganymede and Europa were executed in June 2021 and September 2022, respectively. Radio occultations of Jupiter’s ionosphere and atmosphere are planned later in the mission, beginning in 2023. Although the radio science instrument was originally designed to measure the gravity field, the instrument is fully capable of making measurements for radio occultations. Challenges in collecting radio occultation data include Juno’s pointing capability due to spin-stabilization, lack of an onboard highly stable frequency reference, and compensation from refraction of Jupiter’s atmosphere on the radio frequency. This paper describes how the Juno Ganymede and Europa radio occultation experiments were planned and executed, along with the necessary preparation work required to plan and execute radio occultations of Jupiter’s intense ionosphere and dense atmosphere.
DOI: 10.48577/jpl.qsct2a
title: DDDAS2022: An Earth System Digital Twin for Air Quality Analysis

description: Severe drought and wildfires have become grim indicators of the severity of the weather and climate extremes our planet is increasingly facing. The lat-est Intergovernmental Panel on Climate Change (IPCC) report describes the unprecedented rate at which the global climate has warmed in the last 200 years (UN News 2021), resulting in increasing ocean temperature, rising sea levels, intensifying rains and floods, new records for heatwaves and droughts, and ever-growing stress on freshwater availability. The growing collections of multi-discipline, high resolution spatiotemporal data (i.e., the 4 characters of Big Data) requires us to be smarter and more automated, about scalable analytic framework and what data to incorporate into an analysis, when possible, extremes detected. This paper presents example applications of open-source Earth System Digital Twin architecture being developed at the NASA’s Jet Propulsion Laboratory for integrated air quality analysis during wildfires.
DOI: 10.48577/jpl.e6x3jk
title: Mars Sample Return – An Overview of the Capture, Containment and Return System

description: The Mars Sample Return campaign aims at bringing back soil and atmospheric samples from Mars to Earth to answer key questions about Mars’ biological evolution by means of four missions. The first one, Mars 2020, landed on the Red Planet on February 18, 2021 and has to date collected a number of samples through the Perseverance rover. The three subsequent missions aim to recover the sample tubes, launch them into Mars orbit and transport them back to Earth. These missions are currently in the planning and design stages of development and represent an international effort comprising NASA, the European Space Agency and many industry partners. The work presented here provides an overview of the current design and concept of operations of the NASA-provided Capture, Containment, and Return System (CCRS), which is the payload of the ESA-provided Earth Return Orbiter (ERO). ERO would rendezvous with the orbiting samples and CCRS would capture them, contain them and robotically insert them into a capsule that would return the samples to Earth, the Earth Entry System (EES). About three days before arrival on Earth, CCRS releases the EES on an Earth entry trajectory, which then passively enters Earth’s atmosphere, descends on a highly predictable trajectory and safely lands notionally at the Utah Test and Training Range. The decision to implement Mars Sample Return will not be finalized until NASA’s completion of the National Environmental Policy Act (NEPA) process. This document is being made available for information purposes only.
DOI: 10.48577/jpl.zyemk3
title: The Latest Activities and Innovations for the Parachute-free Landing Analysis Efforts for Mars Sample Return Vehicle

description: The developmental activities for a passively stable Earth Entry System (EES) to safely return Martian samples to Earth are reported from the perspective of the past and current programs conducted through the CRashworthiness for Aerospace Structures and Hybrids (CRASH) Lab. The aerodynamically stable Entry, Descent, and Landing (EDL) EES relies on impact attenuation and the redirection of loads away from the Returnable Sample Tube Assemblies (RSTA) gathered by the Perseverance Rover. The CRASH Lab, has collaborated with NASA on MSR for many years. The work generated from such collaboration includes EES linear and stochastic optimization techniques for developing EES subsystems, parameterization of critical impacting mechanisms, high fidelity structural modeling, uncertainty quantification, and analyses of mission-critical structures pursuant to Planetary Protection Protocols (PPP). From the inception of the EES (previously called Earth Entry Vehicle), there have been several structural concepts and iterations, where each holds its own innovation merits. This paper will underscore the values and contributions of some of these concepts to their subsequent developments and, ultimately, the final sample carrier and entry system. Publicly released deliverables from the CRASH Lab on NASA and JPL-sponsored programs, which have played a significant role in the assessment, developmental directions, and broad acceptance of the multi-mission EES, will be presented. The paper will further relay the importance of establishing long-lasting government, industry, and university collaborations that crosslink multiple academic generations.
DOI: 10.48577/jpl.4ko7rd
title: PARSEC: An Aerial Platform for Autonomous Deployment of Self-Anchoring Payloads on Natural Vertical Surfaces

description: PARSEC (Payload Anchoring Robotic System for the Exploration of Cliffs) is an autonomy-equipped aerial manipulator that can deploy self-anchoring payloads on rocky vertical surfaces. It consists of a hexacopter rotorcraft and a two Degrees of Freedom (2 DoF) mass balancing manipulator, which can autonomously deploy a self-anchoring payload from its custom end-effector. The payload anchors itself via an actuated microspine gripper. The payload sensor data is transmitted to the the primary vehicle during and after deployment through a wireless connection. A novel state machine controls the four-stage cooperative PARSEC deployment process. First, the rotorcraft brings payload into contact with surface and applies a constant 6 N normal force to it through a feedback control loop to engage and preload the payload gripper. Second, the payload uses current feedback to detect gripper engagement with the surface, while the rotorcraft maintains the constant normal force. Then, the aerial manipulator pulls with 5 N force on the anchored payload to ensure a secure grip before the final stage of releasing the package and flying away. We present experimental validation of a successful deployment of a 430g payload on a vertical vesicular basalt surface.
DOI: 10.48577/jpl.ghe2f2
title: Tropical cloud height trends since 2002

description: No abstract available.
DOI: 10.48577/jpl.1ezyw8
title: Adventures in the Thermal Infrared (TIR) Mapping of Volcanic SO2 Plumes

description: No abstract available.
DOI: 10.48577/jpl.pti31z
title: Sustaining satellite salinity measurements to advance the understanding of oceanic linkages with climate variability and water cycle

description: No abstract available.
DOI: 10.48577/jpl.vgszof
title: High-Energy Radiation Induced Outgassing Testing and Modeling for Jovian System Missions

description: No abstract available.
DOI: 10.48577/jpl.33efdu
title: Lunar Crater Radio Telescope (LCRT) on the Far-Side of the Moon

description: No abstract available.
DOI: 10.48577/jpl.4imymq
title: Humidity Sounding Differential Absorption Radar

description: No abstract available.
DOI: 10.48577/jpl.hvcjbm
title: Phase Matching method for inversion of radio occultation experiments on Venus

description: No abstract available.
DOI: 10.48577/jpl.qkurup
title: Science Closure Loops: Deductive Requirements Derivation

description: No abstract available.
DOI: 10.48577/jpl.okgjzg
title: Refined Spatial Response Functions for OCO-3

description: No abstract available.
DOI: 10.48577/jpl.ybqou9
title: Lunar Landing Systems Engine Plume-Surface Interactions with the Lunar Surface and Vehicle

description: No abstract available.
DOI: 10.48577/jpl.hj5q1j
title: GRACE-FO along track measurements detect sub-monthly geophysical signals

description: No abstract available.
DOI: 10.48577/jpl.o4vzqv
title: MOSSG Report on IOAG Interoperability Demonstration Task at IOAG-25A Meeting

description: No abstract available.
DOI: 10.48577/jpl.znvdv1
title: Glacier ice surface properties on the Greenland Ice Sheet - First estimates from PRISMA imaging spectroscopy data

description: No abstract available.
DOI: 10.48577/jpl.rjbxbr
title: Advances in imaging spectrometer atmospheric correction with the open source ISOFIT codebase

description: No abstract available.
DOI: 10.48577/jpl.q2bx62
title: Radiation Effects Characterization and System Architecture Options for the 7nm Snapdragon SA8155P Automotive Grade System on Chip (SoC)

description: No abstract available.
DOI: 10.48577/jpl.6y00sq
title: OPERA presentation ARD workshop on RTC

description: No abstract available.
DOI: 10.48577/jpl.2mmfpm
title: Interactions with Perseverance: Human Computer Interaction’s impact on Mars rover operations

description: No abstract available.
DOI: 10.48577/jpl.widl9c
title: Characterizing the radio occultation bending angle uncertainty in the lower troposphere using end-to-end simulations

description: No abstract available.
DOI: 10.48577/jpl.6gwm8r
title: The Psyche Mission (seminar)

description: No abstract available.
DOI: 10.48577/jpl.vdzizl
title: Status of near-real-time processing of GNSS radio occultations from the Sentinel-6 Michael Freilich satellite

description: No abstract available.
DOI: 10.48577/jpl.mcjzjk
title: Ground-based Planetary Radars: Current and Future Prospects in the Cislunar Arena

description: No abstract available.
DOI: 10.48577/jpl.zq1be8
title: Long term satellite ozone retrieval validation from the TROPESS project

description: No abstract available.
DOI: 10.5281/zenodo.7975096
title: Marker-MAGu Marker Gene DB

description: This contains a tarball of the Marker-MAGu Marker Gene Database. It is a single file in multi-fasta format. It contains species/SGB-specific marker genes for viruses (Trove of Gut Virus Genomes, v1.1) and bacteria, archaea (metaphlan4, vOct22). The header is formatted as such with ";" as field separators. &gt;<strong>unique_gene_name</strong>;<em><strong>hierarchical_lineage</strong></em>;<strong>genome_name</strong> You should follow instructions on the Marker-MAGu GitHub. Marker-MAGu/DBs/v1.0/Marker-MAGu_markerDB.fna
DOI: 10.5281/zenodo.7975097
title: Marker-MAGu Marker Gene DB

description: This contains a tarball of the Marker-MAGu Marker Gene Database. It is a single file in multi-fasta format. It contains species/SGB-specific marker genes for viruses (Trove of Gut Virus Genomes, v1.1) and bacteria, archaea, and micro-eukaryotes (metaphlan4, vJan21). The header is formatted as such with ";" as field separators. &gt;<strong>unique_gene_name</strong>;<em><strong>hierarchical_lineage</strong></em>;<strong>genome_name</strong> You should follow instructions on the GitHub, but generally, to use this with Marker-MAGu, this DB should be within the Marker-MAGu repo directory like so: Marker-MAGu/DBs/v1.0/Marker-MAGu_markerDB.fna