21 Works

Vertical Land Displacement Rates and Uncertainty in Hampton Roads, VA [Dataset]

Brett Buzzanga, David P. S. Bekaert, Ben D. Hamlington & Simran S. Sangha
These data contain vertical rates (mm/yr) of surface land displacements and their associated uncertainties from 2015-03-15 to 2019-06-01. They are associated with Buzzanga, B. A., Bekaert, D. P. S., Hamlington, B. D., and Sanga, S. (2020), "Towards Sustained Monitoring of Subsidence at the Coast Using InSAR and GNSS: An Application in Hampton Roads, Virginia submitted to Geophysical Research Letters.

Data from: From lidar waveforms to vegetation products: 7380 km2 of high-resolution airborne and simulated GEDI data over Sierra Nevada, California

Antonio Ferraz, Fabian Schneider, Kathryn Bormann, Sassan Saatchi, David Schimel & Thomas Painter
Vegetated ecosystems have complex three-dimensional (3D) canopy structures with diverse plant type assemblages, crown architectures and historical disturbances. Vegetation structure changes dramatically with strong topographic, edaphic and climate gradients. Airborne lidar remote sensing has the potential to measure fine-scale 3D proprieties of forests with limited temporal and spatial coverage limitations due to prohibitively cost. Here, we present a composite high-resolution airborne lidar dataset covering 7380 km2 over the Sierra Nevada, California, that has been calculated...

Formation Kinetics of Ethane Clathrate on Titan

Tuan H. Vu
Data behind figures for "Rapid Formation of Clathrate Hydrate From Liquid Ethane and Water Ice on Titan," published in Geophysical Research Letters on Jan 29, 2020

Thermal Expansion of the Acetylene-Ammonia Co-crystal under Titan's Conditions

Tuan H. Vu
Acetylene and ammonia are known to form a stable orthorhombic co-crystal under the surface condi-tions of Saturn's moon Titan (1.5 bar, 94 K). Such material represents a potential new class of organic minerals that can play an important role in Titan's geology. In this work, the thermal expansion of this co-crystalline system has been derived from in situ powder X-ray diffraction data obtained between 85 and 120 K. The results indicate significant anisotropy, with the...

Data from: Tropical tree size-frequency distributions from airborne lidar

Antonio Ferraz, Sassan Saatchi, Marcos Longo & David Clark
Tropical rainforest canopies, where stems and crowns reside, are hotspots of biological diversity, mediate the global biochemical processes and are the interface between organic nature and the atmosphere. Ecosystem functions such as growth, competition and mortality, depend on the spatial arrangement of tree crowns that varies significantly across forest types and disturbance gradients. The exact nature and function of tropical tree canopies are not well known. Field inventories often focus on measuring the horizontal component...

Robot Control Gestures (RoCoG)

Celso De Melo, Brandon Rothrock, Prudhvi Gurram, Oytun Ulutan & B.S. Manjunath
Building successful collaboration between humans and robots requires efficient, effective, and natural communication. This dataset supports the study of RGB-based deep learning models for controlling robots through gestures (e.g., “follow me”). To address the challenge of collecting high-quality annotated data from human subjects, synthetic data was considered for this domain. This dataset of gestures includes real videos with human subjects and synthetic videos from our custom simulator. This dataset can be used as a benchmark...

A survey of small-scale waves and wave-like phenomena in Jupiter's atmosphere detected by JunoCam

Glenn Orton, Fachreddin Tabataba-Vakili, Gerald Eichstaedt, John Rogers, Candice Hansen, Thomas Momary, Andrew Ingersoll, Shawn Brueshaber, Michael H. Wong, Amy Simon, Leigh Fletcher, Michael Ravine, Michael Caplinger, Dakota Smith, Scott Bolton, Stephen Levin, James Sinclair, Chloe Thepenier, Hamish Nicholson & Abigail Anthony
In the first 20 orbits of the Juno spacecraft around Jupiter, we have identified a variety of wave-like features in images made by its public-outreach camera, JunoCam. Because of Juno’s unprecedented and repeated proximity to Jupiter’s cloud tops during its close approaches, JunoCam has detected more wave structures than any previous surveys. Most of the waves appear in long wave packets, oriented east-west and populated by narrow wave crests. Spacing between crests were measured as...

Haze seasonal variations of Titan's upper atmosphere

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This study presents a 13 years survey of haze UV extinction profiles, monitoring the temporal evolution of the detached haze layer (DHL) in Titan's upper atmosphere (350-600 km). As reported by West et al. 2011 (GRL vol.38, L06204) at the equator, we show that the DHL is present at all latitudes below 55°N during the northern winter (2004-2009). Then, it globally sunk and disappeared in 2012. No permanent DHL was observed between 2012 and 2015....

Martian Slope Stability Data

Kevin Roback
This dataset provides landslide susceptibility data computed across a large part of Mars's surface. presented as a factor of safety (FOS). The factor of safety is the ratio produced by dividing the sum of forces resisting motion of a possible landslide surface by the sum of forces driving motion. These FOS values were computed using HRSC (High Resolution Stereo Camera) topographic data, and the Scoops3D software package. Full details of the method used will be...

Equipotential Shape Models for the Gas Giants

Dustin Buccino
This dataset contains geopotential shape models of Jupiter and Saturn derived from the high-precision gravitational field models produced by the Juno mission to Jupiter and Cassini's Grand Finale at Saturn. This dataset is intended to be paired with the following article submitted to the Journal of Geophysical Research-Planets:\r\n\r\nBuccino, Dustin R., Ravit Helled, Marzia Parisi, William Hubbard, and\r\nWilliam Folkner, "Updated Geopotential Shapes of Jupiter and Saturn using\r\nJuno and Cassini Grand Finale Gravity Science Measurements", Journal of\r\nGeophysical...

Chemical Reanalysis Products

Kazuyuki Miyazaki, Kevin Bowman, Takashi Sekiya, Henk Eskes, Folkert Boersma, Helen Worden, Nathaniel Livesey, Vivienne H. Payne, Kengo Sudo, Yugo Kanaya, Masayuki Takigawa & Koji Ogoch
The Tropospheric Chemistry Reanalysis version 2 (TCR-2) provides global data sets of atmospheric composition and emissions for the period 2005-2018 at 1.1° horizontal resolution obtained from the assimilation of multiple satellite measurements of ozone, CO, NO2, HNO3, and SO2 from the OMI, SCIAMACHY, GOME-2, TES, MLS, and MOPITT satellite instruments. The data sets can be used to improve understanding of the processes controlling variations in atmospheric composition, including long-term changes in air quality and emissions.

CMS-Flux NBE 2020

Junjie Liu, Lartha Baskarran, Kevin Bowman, David Schimel, A. Anthony Bloom, Nick Parazoo, Tomohiro Oda, Dustin Carrol, Dimitris Menemenlis, Joanna Joiner, Roisin Commane, Bruce Daube, Lucianna V. Gatti, Kathryn McKain, John Miller, Britton B. Stephens, Colm Sweeney & Steven Wofsy
Top-down Net biosphere exchange estimates between Jan 2010 and Dec 2018 constrained by column CO2 observations from Greenhouse gases Observing Satellite and Orbiting Carbon Observatory 2. This dataset is openly shared in accordance with NASA Data and Information Policy (https://earthdata.nasa.gov/collaborate/open-data-services-and-software/data-information-policy).

MSL ChemCam Measurements of Normalized H Peak Area in Murray Fm. Bedrock Targets

Nancy H. Thomas, Bethany L. Ehlmann, William Rapin, Frances Rivera‐Hernández, Nathaniel T. Stein, Jens Frydenvang, Travis Gabriel, Pierre-Yves Meslin, Sylvestre Maurice & Roger C. Wiens
Data table containing measured H peak area for every MSL ChemCam observation point of Murray formation bedrock as described in Thomas et al. (2020). The first column is the spacecraft clock (target identifier) and the second column is the fit H 656.5 nm peak area normalized by the fit O 778 nm peak area using the methods described by Thomas et al. (2018).

The tale of two ice shelves: Zachariae Isstrøm and Nioghalvfjerdsfjorden, Northeast Greenland

Lu An, Eric Rignot, Michael Wood, Josh Willis, Jeremie Mouginot & Shfaqat Khan
Oceanography and gravity data of Northeastern Greenland reveal ocean temperature and bathymetry in front of Zachariae Isstrøm (ZI) and Nioghalvfjerdsfjorden (79N), which hold a 1.1-m sea-level rise ice volume equivalent but underwent different evolutions. Sub-surface, warm, salty water of Atlantic origin has easier access to ZI than to 79N because of bathymetric barriers. We reconstruct ice removal by the ocean at the grounding line and floatation retreat from thinning to explain the observed grounding line...

Greenland Marine-Terminating Glacier Retreat Data

Michael Wood, Eric Rignot, Anders Bjørk, Michiel Van En Broeke, Ian Fenty, Dimitris Menemenlis, Mathieu Morlighem, Jeremie Mouginot, Brice Noël, Bernd Scheuchl, Joshua Willis, Hong Zhang, Lu An, Cilan Cai, Emily Kane, Romain Millan & Isabella Velicogna
The thinning, acceleration, and retreat of Greenland glaciers since the mid-1990s has been attributed to the enhanced intrusion of warm Atlantic Waters (AW) into fjords, but this assertion has not been quantitatively tested on a Greenland-wide basis or included in numerical models. Here, we investigate how AW influenced the retreat of 226 marine-terminating glaciers by combining ocean modeling, remote sensing, and in-situ observations. We identify 74 glaciers standing in deep fjords with warm AW that...

CALFIN: Calving front dataset for East/West Greenland, 1972-2019

Daniel Cheng, Wayne Hayes & Eric Larour
We present Calving Front Machine (CALFIN), an automated method for extracting calving fronts from satellite images of marine-terminating glaciers. The results use Landsat imagery from 1972 to 2019 to generate 22,678 calving front lines across 66 Greenlandic glaciers. The method uses deep learning, and builds on existing work by Mohajerani et al., Zhang et al., and Baumhoer et al. Additional post-processing techniques allow for accurate segmentation of imagery into Shapefile outputs. This method is uniquely...

UAVSAR Vertical Velocity Rate Map for the Sacramento-San Joaquin Delta (2009-2015)

Karen An
Provided are the dat files for the UAVSAR rate map and corresponding uncertainties. The rate map shows vertical velocity values for the Sacramento-San Joaquin Delta with negative values representing subsidence. See Bekaert, D. P., Jones, C. E., An, K., & Huang, M.-H. (2019). Exploiting UAVSAR for a comprehensive analysis of subsidence in the Sacramento Delta. Remote Sensing of Environment, 220, 124–134. doi: 10.1016/j.rse.2018.10.023 for more information on how this data was prepared.

Full WRF-Chem Ensemble model output in support of the CMS-WRF-CO2 system for 2010

S. Feng, T. Lauvaux, M.P. Butler, J. Liu, K.W. Bowman & K.J. Davis
Quantifying the uncertainty of inversion-derived carbon dioxide (CO2) surface fluxes and attributing the uncertainty to errors in either flux or atmospheric transport simulations continue to be challenges in the characterization of surface sources and sinks of CO2. Despite recent studies inferring fluxes using higher-resolution modeling systems, the utility of regional-scale models remains unclear compared to existing coarse-resolution global systems. Here we present an off-line coupling of the mesoscale Weather Research and Forecasting (WRF) model to...

Habitat use as an indicator of adaptive capacity to climate change

Claire Teitelbaum, Alexej Siren, Ethan Coffel, Jane Foster, Jacqueline Frair, Joseph Hinton, Radley Horton, David Kramer, Corey Lesk, Colin Raymond, David Wattles, Katherine Zeller & Toni Lyn Morelli
Aim: Populations of cold-adapted species at the trailing edges of geographic ranges are particularly vulnerable to the negative effects of climate change from the combination of exposure to warm temperatures and high sensitivity to heat. Many of these species are predicted to decline under future climate scenarios, but they could persist if they can adapt to warming climates either physiologically or behaviorally. We aim to understand local variation in contemporary habitat use and use this...

Ambient and nitrogen environment friction data for various materials and surface treatments for space applications

Azhar Vellore, Sergio Romero Garcia, Duval Johnson & Ashlie Martini
A multivariate tribological evaluation of candidate materials, surface treatments and dry film lubricants is necessary for design of moving mechanical components that function reliably in extreme conditions, including for long duration space missions. In this study, linear reciprocating or unidirectional sliding friction data was collected using ball-on-flat tests. The balls were hardened 440C stainless steel (either uncoated or sputtered with MoS2) and flat surfaces were 440C stainless steel, Nitronic 60 stainless steel or Ti6Al4V titanium...

Retreat of Humboldt Gletscher, North Greenland, driven by undercutting from a warmer ocean

Eric Rignot, Lu An, Nolwenn Chauché, Mathieu Morlighem, Seongsu Jeong, Michael Wood, Jeremie Mouginot, Joshua Willis, Ingo Klaucke, Wilhelm Weinrebe & Andreas Muenchow
Humboldt Gletscher is a 100-km wide, slow-moving glacier in north Greenland which holds a 19-cm global sea level equivalent. Humboldt has been the fourth largest contributor to sea level rise since 1972 but the cause of its mass loss has not been elucidated. Multi-beam echo sounding data collected in 2019 indicate a seabed 200 m deeper than previously known. Conductivity temperature depth (CTD) data reveal the presence of warm water of Atlantic origin at 0°C...

Registration Year

  • 2020

Resource Types

  • Dataset


  • Jet Propulsion Lab
  • California Institute of Technology
  • University of California, Irvine
  • Goddard Space Flight Center
  • University of Copenhagen
  • Harvard University
  • Universities Space Research Association
  • Dartmouth College
  • National Center for Atmospheric Research
  • University of Massachusetts Amherst