cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48577/jpl.poqcws
title: A Rapid CubeSat Demonstration of an AM Battery Case with Embedded Oscillating Heat Pipes

description: The CubeSat Technology Exploration Project (CubeSTEP) is developing a test platform for the rapid maturation of emerging spacecraft technologies. This paper presents the development of a CubeSat demonstration for an innovative additively manufactured battery thermal control system using Oscillating Heat Pipes (OHP). This Additively Manufactured (AM) battery case OHP is currently under development at NASA JPL. In an effort to mature this technology, two OHP battery case designs developed by Cal Poly Pomona in collaboration with JPL are presented. These AM OHP battery cases are designed to be integrated and tested onboard the CubeSTEP platform. The spacecraft structure and the OHPs are additively manufactured with metal powder-based fusion techniques using AlSi10Mg. The CubeSat bus and OHPs have been designed for printing to minimize clean-up, powder removal, and post-processing. Our work presents the preliminary design and development of the CubeSTEP platform and the AM OHP battery case. The system design utilizes structural topology optimization and highlights the application of additive manufacturing for rapid prototyping in SmallSat development.
DOI: 10.48577/jpl.tjpbfg
title: Status of NASA’s stellar astrometry testbeds for exoplanet detection: Science and technology overview

description: Accurate measurement of exoplanetary masses is a critical step in addressing key aspects of NASA’s science vision. Measuring masses of Earth-analogs around FGK stars out to 10 pc requires sub-microarcsecond astrometric accuracy, which is not within the capabilities of current instrumentation. Thus, new technology will be required to build an astrometric instrument capable of achieving such performance. This will immediately empower the possibility for dedicated astrometric missions, and perhaps most enticingly, it will enable astrometric observing modes to be added to any mission boasting a sufficiently stable direct imaging platform. In this paper, we provide an overview of the scientific goals and technology utilized on NASA’s testbeds dedicated to advancing stellar astrometry for exoplanet detection. The first one, located at the Jet Propulsion Laboratory (JPL), is dedicated to imaging stellar astrometry on sparse fields. The goal of this testbed is to mature the Diffractive Pupil (DP) technology to TRL-5, demonstrating high-fidelity performance in a relevant environment. This testbed operates in a vacuum tank at the High Contrast Imaging Testbed (HCIT) at JPL, and has demonstrated detection of signals of 1.58e-5 λ/D which is equivalent to 0.75 μas on Hubble. The second testbed, Is also located at JPL, but it is dedicated to advancing narrow angle relative astrometry to detect exoplanets around nearby binary stars. The key technology in this testbed is a DP specially designed to measure the angle between two sources on the sky. This testbed operates in air now, but we are designing a new version of this testbed that will operate in vacuum with the goal of demonstrating sub-microarcsecond accuracy astrometric measurements between binary stars.
DOI: 10.48577/jpl.jzqiqe
title: A hyperspectral view of the nearshore Mississippi River Delta: characterizing suspended particles in coastal wetlands using imaging spectroscopy

description: The concentration of Total Suspended Solids (TSS) in coastal waters is an important parameter for sediment availability on vulnerable coastlines over space and time. Hydrodynamic modeling provides a tool for extending measured sediment dynamics to changing conditions and can help predict which areas of a coastline will keep pace with erosion, sea level rise, and subsidence and which areas will lose ground. Imaging spectroscopy (hyperspectral imaging) of the nearshore coastal ocean provides opportunities to measure TSS over entire drainage basins at high spatial and temporal resolution to calibrate and validate hydrodynamic modeling. Here, we used a large (222 points) dataset of in situ TSS and remote sensing reflectance (Rrs) measurements collected in settings from narrow channels to open-water bays in coastal Louisiana to develop an algorithm for retrieving TSS in estuarine to continental-shelf waters. This partial-least-squares-regression (PLSR) algorithm was applied to imagery from the NASA Airborne Visible/Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) instrument, collected during the 2021 NASA EVS-3 Delta-X campaign, to characterize variability in TSS. The performance of the TSS algorithm (R2 = 0.98, MAPE = 13%, MAE=4.5 mg L-1) during in situ and end-to-end validation was compared to reference algorithms to assess the advantages of high spectral resolution and visible-near infrared reflectance bands. Small- and large-scale features in the distribution of TSS mapped from airborne imager were analyzed as indicators of flow direction and hydrodynamic setting between seasons and between a marsh-influenced and a river-influenced coastal basin. Bio-optical modeling conducted to characterize the influence of bottom reflection on TSS retrieval in optically shallow waters found that bottom reflectance had minimal impact on retrieval accuracy in waters &gt; 0.65 m deep. The robust validation dataset of simultaneous matchups provided opportunities for end-to-end TSS retrieval validation and to create recommendations for incorporating TSS maps for hydrodynamic modeling.
DOI: 10.48577/jpl.hudtak
title: Distributed Health Management for Resilient Multi-agent Collaborative Spacecraft Inspection

description: As the development of challenging missions like on-orbit construction and collaborative inspection that involve multi-agent systems increases, the requirements needed to improve post-failure safety to maintain the mission performance also increases, especially when operating under uncertain conditions. In particular, space missions that involve distributed spacecraft systems (DSS) in low Earth orbit for Earth observation and on-orbit servicing purposes are susceptible to threats, making DSS prone to failures that are detrimental to its overall system performance. This paper describes recent progress towards the development of a distributed health monitoring system that uses artificial intelligence mechanisms to detect for potential threats to a DSS. The approach is applied to the problem of providing resiliency to potential failures for a fleet of spacecraft that are performing an on-orbit inspection. Numerical simulations are used to demonstrate the performance and capabilities of this architecture when the spacecraft network is subjected to different threats such as bounded disturbances and actuator failures.
DOI: 10.48577/jpl.qthf91
title: CARDAMOM 3.0: A versatile data assimilation framework to infer carbon, water, and energy cycling using diverse Earth observations

description: No abstract available.
DOI: 10.48577/jpl.yzvsjw
title: Organic World Titan

description: No abstract available.
DOI: 10.48577/jpl.hdptgt
title: Characterizing Wildfires Using Collocated Hyperspectral Infrared Sounder and Narrow-band Imager Observations

description: No abstract available.
DOI: 10.5281/zenodo.10252262
title: EXPRESSION OF THE  GOTHIC FICTION IN " THE PICTURE OF DORIAN GRAY"BY  OSCAR WILDE.
DOI: 10.5281/zenodo.10252263
title: EXPRESSION OF THE  GOTHIC FICTION IN " THE PICTURE OF DORIAN GRAY"BY  OSCAR WILDE.
DOI: 10.48577/jpl.zscz1f
title: Performance and Early Results from the Earth Surface Mineral Dust Source Investigation (EMIT) Imaging Spectroscopy Mission

description: The Earth Surface Mineral Dust Source Investigation (EMIT) acquires new observations of the Earth from a state-of-the-art, optically fast F/1.8 visible to short wavelength infrared imaging spectrometer with high signal-to-noise ratio and excellent spectroscopic uniformity. EMIT was launched to the International Space Station from Cape Canaveral, Florida, on July 14, 2022 local time. The EMIT instrument is the latest in a series of more than 30 imaging spectrometers and testbeds developed at the Jet Propulsion Laboratory, beginning with the Airborne Imaging Spectrometer that first flew in 1982. EMIT’s science objectives use the spectral signatures of minerals observed across the Earth’s arid and semi-arid lands containing dust sources to update the soil composition of advanced Earth System Models (ESMs) to better understand and reduce uncertainties in mineral dust aerosol radiative forcing at the local, regional, and global scale, now and in the future. EMIT has begun to collect and deliver high-quality mineral composition determinations for the arid land regions of our planet. Over 1 billion high-quality mineral determinations are expected over the course of the one-year nominal science mission. Currently, detailed knowledge of the composition of the Earth’s mineral dust source regions is uncertain and traced to less than 5,000 surface sample mineralogical analyses. The development of the EMIT imaging spectrometer instrumentation was completed successfully, despite the severe impacts of the COVID-19 pandemic. The EMIT Science Data System is complete and running with the full set of algorithms required. These tested algorithms are open source and will be made available to the broader community. These include calibration to measured radiance, atmospheric correction to surface reflectance, mineral composition determination, aggregation to ESM resolution, and ESM runs to address the science objectives. In this paper, the instrument characteristics, ground calibration, in-orbit performance, and early science results are reported.
DOI: 10.48577/jpl.lzit4p
title: Correlation Study of SWOT Payload Acoustic Prediction and Test

description: No abstract available.
DOI: 10.48577/jpl.puzhbs
title: NASA Deep Space Network Preparations for the Artemis II Crewed Mission to the Moon

description: NASA’s Deep Space Network (DSN) is preparing to support the upcoming crewed missions that will return humans to the Moon, starting with the Artemis II mission slated to launch in the mid-2020’s. With completion of NASA’s Exploration Flight Test-1 (EFT-1) mission in 2014 and the more recent Artemis I mission launched in late 2022, which both involved testing of an uncrewed Orion spacecraft in a flight environment, the next step will be to send astronauts in Orion to fly by the Moon and return safely to Earth, in preparation for future lunar surface crewed missions. The Artemis II mission will provide this crucial link, bridging the gap between the uncrewed demonstration flights and the crewed lunar surface missions. DSN is slated to provide telecommunications coverage for Artemis II from the time the Orion spacecraft leaves the near-Earth vicinity through lunar transit, arrival, swing-by and departure, and return to the near-Earth vicinity. This paper describes work underway for DSN support of the Artemis II mission, with a focus on the pre-launch end-to-end space communications and RF compatibility test campaign. Differences between the Artemis II and Artemis I missions will be highlighted, including changes to the flight vehicle as well as the ground segment.
DOI: 10.48577/jpl.l6vmxa
title: S-MODE Datasets Cloud Access

description: No abstract available.
DOI: 10.48577/jpl.aiycju
title: Flight Software for Space Systems

description: No abstract available.
DOI: 10.48577/jpl.bu1ula
title: A hyperspectral view of the nearshore Mississippi River Delta: characterizing suspended particles in coastal wetlands using imaging spectroscopy

description: Earth is experiencing unprecedented climate change driven by anthropogenic activities. The Paris Climate Agreement is the most recent international agreement pushing nations to curtail greenhouse gas emissions and balance carbon sources and sinks. To help meet the standards set forth in the Paris Climate Agreement, countries can incorporate ecosystems known to sequester and store carbon into their nationally determined contributions (NDC). Saline, brackish, and freshwater aquatic and wetland ecosystems (i.e., wet carbon) are known for having some of the highest rates of carbon sequestration, and have the capacity to store carbon for long periods of time (e.g., decades to centuries). Integration of wet carbon (WC) systems into NDC is challenging due to their inherent complexities. WC systems are globally expansive, spatially heterogeneous at all scales (e.g., site, local, regional), exhibit temporal variation, and form complex linkages with adjacent terrestrial systems. To study the carbon state of WC systems at the level that is needed for policy, use of remote sensing platforms (e.g., UAV, airborne, and spaceborne) is necessary. Because of the high prevalence of water in WC systems and waters absorption of key electromagnetic wavelengths, multispectral remote sensing is inadequate to fully study WC systems. Imaging spectroscopy has the capability to discern the numerous variables that determine the carbon state of a WC system. To date, imaging spectroscopy has been, generally, underutilized for studying WC systems. The limited availability of imaging spectrometers, compared to multispectral sensors, on all remote sensing platforms has contributed to the lack of more hyperspectral-WC studies. While the past decade has seen increases in hyperspectral-WC studies, we found the global wet carbon habitats are highly unevenly monitored. A new generation of spaceborne imaging spectrometers that will lead the pathway of WC systems mapping and monitoring globally.
DOI: 10.48577/jpl.rm3225
title: A Miniature Ultra-sensitive UV Spectrometer For Future Lunar And Planetary Missions

description: No abstract available.
DOI: 10.48577/jpl.x8newq
title: Autonomy in Space, My personal perspective

description: No abstract available.
DOI: 10.48577/jpl.5frbyn
title: Remote Sensing of Levees and Land Subsidence

description: No abstract available.
DOI: 10.48577/jpl.nv0bpz
title: COVERAGE: A Reusable Platform Enabling Synergistic Use of Inter-agency Oceanographic Data in Support of Interdisciplinary Marine Applications

description: No abstract available.
DOI: 10.48577/jpl.iu6jyu
title: Flight Project Software Systems

description: No abstract available.
DOI: 10.48577/jpl.w33092
title: Methane emissions decline from reduced oil, natural gas, and refinery production during COVID-19

description: No abstract available.
DOI: 10.48577/jpl.gkpj74
title: System of Magnetically Aligning Reconfigurable Tiny Vube Satellites (SMARTCubeS)

description: No abstract available.
DOI: 10.48577/jpl.ffzgas
title: Determining the Electrical Conductivity at Ocean World Conditions Using Molecular Dynamics Simulations and Experimental Measurements

description: No abstract available.
DOI: 10.48577/jpl.bt2tit
title: Localization of Methane Signals in Gale Crater

description: No abstract available.
DOI: 10.48577/jpl.shxbe2
title: The Celestial Reference Frame at K, Ka, and Q-bands: The Road Forward

description: No abstract available.
DOI: 10.48577/jpl.uevqo0
title: Enhancing the Interoperability and Reusability of Airborne and Field Data

description: No abstract available.
DOI: 10.48577/jpl.hqmcgv
title: RTL to Software Model using COSIDE and SystemC

description: No abstract available.
DOI: 10.48577/jpl.hhvhk9
title: Wide Temperature Battery Development for Robotic Spacecraft

description: No abstract available.
DOI: 10.48577/jpl.t95rsh
title: Europa Clipper: Mission Update to OPAG

description: No abstract available.
DOI: 10.48577/jpl.uwnzte
title: Spatially Constrained Atmosphere and Surface Retrieval for Imag- ing Spectroscopy

description: Imaging spectrometers provide important Earth surface data for terrestrial and aquatic ecology, hydrology, geology through retrieved surface reflectance spectra. Surface reflectance is generally recovered from measured radiance through model inversions of the surface and atmospheric system. Most retrieval approaches treat all pixels independently and ignore spatial correlations in the atmosphere for neighboring pixels, resulting 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 a traditional pixel-by-pixel approach and an operational empirical line 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.ekxdbr
title: Summary of Galilean Moons Workshop for OPAG meeting

description: No abstract available.
DOI: 10.48577/jpl.uqsli4
title: Advances in Precipitation Retrieval and A pplications from Low Earth Orbiting Satellite Information

description: Virtual NOAA Workshop on “Precipitation Estimation from LEO Satellites: Retrieval and Applications. What: Scientists and stakeholders from precipitation sensor developers, remote sensing algorithm developers, and data users gathered to discuss the state of the science and users’ needs for operational precipitation algorithms and products from current and future meteorological satellites. When: 1–2 March 2023 Where: Virtual, Organized by the Center for Hydrometeorology and Remote Sensing, University of California, Irvine
DOI: 10.48577/jpl.9vxiao
title: Water stress dominate 21st-century tropical land carbon uptake

description: Water stress regulates land-atmosphere carbon dioxide (CO2) exchanges in the tropics; however, its role remains poorly characterized due to the confounding roles of radiation, temperature and canopy dynamics. In particular, uncertainty stems from the relative roles of plant-available water (supply) and atmospheric water vapor deficit (demand) as mechanistic drivers of photosynthetic carbon (C) uptake variability. Using satellite measurements of gravity, CO2 and fluorescence to constrain a mechanistic carbon-water cycle model from 2001–2018, we found that the interannual variability (IAV) of water stress on photosynthetic C uptake was 52% greater than the combined effects of other factprs. Surprisingly, the dominance of water stress on C uptake IAV was greater in the wet tropics (94%) than in the dry tropics (26%). Plant-available water supply and atmospheric demand both contributed to the IAV of water stress on photosynthetic C uptake across the tropics, but the IAV of demand effects was 21% greater than the IAV of supply effects (33% greater in the wet tropics and 6% greater in the dry tropics). We found that the IAV of water stress on C uptake was 24% greater than the IAV of the combination of other factors in the net land-atmosphere C sink in the whole tropics, 26% greater in the wet tropics, and 7% greater in the dry tropics. Given the recent trends in tropical precipitation and atmospheric humidity, our findings indicate that water stress–––from both supply and demand–––will likely dominate the climate response of land C sink across tropical ecosystems in the coming decades.
DOI: 10.48577/jpl.gczhj9
title: A Compact Object in SN 1987A

description: SN 1987A in the Large Magellanic Cloud, originating from a massive 15 − 20 M⊙ blue supergiant, is the best-studied modern supernova (SN). The ∼ 10 s long neutrino burst (1–3) strongly indicates that a compact object, a neutron star or black hole, was formed in the explosion (4). Despite several attempts and claims (5–8), no compelling direct evidence for this compact object has yet been found. Using Integral Field Unit (IFU) spectroscopy with JWST we here report clear evidence for a central, ionizing source, powering several strong and narrow near-IR (NIR) and mid-IR (MIR) lines of argon and sulphur, close to the center of the expanding SN ejecta. The line emission is spatially unresolved and blueshifted in velocity by ∼ 250 km s−1 relative to the rest frame of SN 1987A, and is therefore distinct from other components. Line fluxes and velocities together with modeling are consistent with ionization by a cooling neutron star or pulsar wind nebula. The argon and sulphur lines indicate an origin from explosive oxygen burning close to the center of the ejecta. Our results provide the first evidence for ionizing radiation originating from the central neutron star in SN 1987A.
DOI: 10.48577/jpl.gjhibc
title: Effects of Global Dust Storms on Water Vapor in the Southern Polar Region of Mars

description: Martian Global Dust Storms (GDS) can significantly affect the water cycle in the lower atmosphere (040 km). We compare evolution of water vapor abundances, dust opacity and surface temperatures in the Southern Polar Region (SPR) during GDS years of MY25, MY28 and MY34 relative to years without GDS. During all GDS years, the vapor abundances decrease in the lower atmosphere in the SPR following the storm. Our results suggest that this decrease could be the result of disruption of the southward transport of vapor by atmospheric circulation. Alternatively, the decrease in vapor abundances could be caused by decreased desorption of vapor from the subsurface.
DOI: 10.48577/jpl.vinqef
title: Status of NASA’s stellar astrometry testbeds for exoplanet detection: Science and technology overview

description: Accurate measurement of exoplanetary masses is a critical step in addressing key aspects of NASA’s science vision. Measuring masses of Earth-analogs around FGK stars out to 10 pc requires sub-microarcsecond astrometric accuracy, which is not within the capabilities of current instrumentation. Thus, new technology will be required to build an astrometric instrument capable of achieving such performance. This will immediately empower the possibility for dedicated astrometric missions, and perhaps most enticingly, it will enable astrometric observing modes to be added to any mission boasting a sufficiently stable direct imaging platform. In this paper, we provide an overview of the scientific goals and technology utilized on NASA’s testbeds dedicated to advancing stellar astrometry for exoplanet detection. The first one, located at the Jet Propulsion Laboratory (JPL), is dedicated to imaging stellar astrometry on sparse fields. The goal of this testbed is to mature the Diffractive Pupil (DP) technology to TRL-5, demonstrating high-fidelity performance in a relevant environment. This testbed operates in a vacuum tank at the High Contrast Imaging Testbed (HCIT) at JPL, and has demonstrated detection of signals of 1.58e-5 λ/D which is equivalent to 0.75 μas on Hubble. The second testbed, Is also located at JPL, but it is dedicated to advancing narrow angle relative astrometry to detect exoplanets around nearby binary stars. The key technology in this testbed is a DP specially designed to measure the angle between two sources on the sky. This testbed operates in air now, but we are designing a new version of this testbed that will operate in vacuum with the goal of demonstrating sub-microarcsecond accuracy astrometric measurements between binary stars.