44 Works

TCCON data from Park Falls (US), Release GGG2020.R0

P. O. Wennberg, C. M. Roehl, D. Wunch, G. C. Toon, J.-F. Blavier, R. Washenfelder, G. Keppel-Aleks & N. T. Allen
The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including CO2, CH4, N2O, HF, CO, H2O, and HDO, are retrieved. This is the GGG2020 data release of observations from the TCCON station at Park Falls, Wisconsin, USA

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.

Thermosphere-Ionosphere Modeling with Forecastable Inputs: Case Study of the June 2012 High Speed Stream Geomagnetic Storm

Xing Meng
This is the companion dataset for the Journal paper ”Thermosphere-Ionosphere Modeling With Forecastable Inputs: Case Study of the June 2012 High Speed Stream Geomagnetic Storm” (under review). The dataset contains raw outputs from a global ionosphere-thermosphere model for a geomagnetic storm events. The outputs are in IDL binary format, containing the model solution of the total electron content, the magnetic field, density, velocity, and temperature for neutral and ion species. The outputs are analyzed in...

Data from: Identification of the Beagle 2 lander on Mars

John C. Bridges, Jim Clemmet, Michael Croon, Mark R. Sims, Derek Pullan, Jan-Peter Muller, Yu Tao, Xiong Xiong, Alfiah R. Putri, Tim Parker, Stuart M. R. Turner & Judith M. Pillinger
The 2003 Beagle 2 Mars lander has been identified in Isidis Planitia at 90.43° E, 11.53° N, close to the predicted target of 90.50° E, 11.53° N. Beagle 2 was an exobiology lander designed to look for isotopic and compositional signs of life on Mars, as part of the European Space Agency Mars Express (MEX) mission. The 2004 recalculation of the original landing ellipse from a 3-sigma major axis from 174 km to 57 km,...

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...

High-latitude Input for Meso-scale Electrodynamics (HIME)

Dogacan Su Ozturk
High-latitude Input for Meso-scale Electrodynamics: HIME, is a new framework that is developed to account for the local meso-scale electric field variability in a global I-T model, so that their role during certain intervals and locations can be analyzed. This data set consists of local 2D electric field estimates from PFISR (provided in 20170302.002_lp_1min-cal_2dVEF_001001_NoLonely-geo600km.h5), and HIME generated drivers. These drivers were generated by first calculating the electric potentials with Forward Euler formula from PFISR estimates...

Noachian Bedrock at Endeavour Crater: Data Tables, Statistical Modeling and Locator Images

David Mittlefehldt, Ralf Gellert, Scott VanBommel, Raymond Arvidson, James W. Ashley, Benton Clark, Larry S. Crumpler, William H. Farrand, Matthew Golombek, John Grant, Richard Morris & Christian Schröder

TCCON data from Lamont (US), Release GGG2020.R0

P. O. Wennberg, D. Wunch, C. M. Roehl, J.-F. Blavier, G. C. Toon & N. T. Allen
The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including CO2, CH4, N2O, HF, CO, H2O, and HDO, are retrieved. This is the GGG2020 data release of observations from the TCCON station at Lamont, Oklahoma, USA

TCCON data from Jet Propulsion Laboratory (US), 2007, Release GGG2020.R0

P. O. Wennberg, D. Wunch, Y. Yavin, G. C. Toon, J.-F. Blavier, N. T. Allen, G. Keppel-Aleks & C.M. Roehl
The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including CO2, CH4, N2O, HF, CO, H2O, and HDO, are retrieved. This is the GGG2020 data release of observations from the TCCON station at Jet Propulsion Laboratory, Pasadena, California, USA

TCCON data from East Trout Lake, SK (CA), Release GGG2020.R0

D. Wunch, J. Mendonca, O. Colebatch, N. T. Allen, J.-F. Blavier, K. Kunz, S. Roche, J. Hedelius, G. Neufeld, S. Springett, D. Worthy, R. Kessler & K. Strong
The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including CO2, CH4, N2O, HF, CO, H2O, and HDO, are retrieved. This is the GGG2020 data release of observations from the TCCON station at East Trout Lake, Canada

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...

Annual Ice Velocity of the Greenland Ice Sheet (1972-1990)

Jeremie Mouginot, Eric Rignot, Romain Millan, Michael Wood & Bernd Scheuchl
We derive surface ice velocity using data from 16 satellite sensors deployed by 6 different space agencies. The list of sensors and the year that they were used are listed in the following (Table S1). The SAR data are processed from raw to single look complex using the GAMMA processor (www.gamma-rs.ch). All measurements rely on consecutive images where the ice displacement is estimated from tracking or interferometry (Joughin et al. 1998, Michel and Rignot 1999,...

Annual Ice Velocity of the Greenland Ice Sheet (2010-2017)

Jeremie Mouginot, Eric Rignot, Bernd Scheuchl, Michael Wood & Romain Millan
We derive surface ice velocity using data from 16 satellite sensors deployed by 6 different space agencies. The list of sensors is given in the Table S1. The SAR data are processed from raw to single look complex using the GAMMA processor (www.gamma-rs.ch). All measurements rely on consecutive images where the ice displacement is estimated from tracking or interferometry (Joughin et al. 1998, Michel and Rignot 1999, Mouginot et al. 2012). Surface ice motion is...

Annual Ice Velocity of the Greenland Ice Sheet (2001-2010)

Jeremie Mouginot, Eric Rignot, Bernd Scheuchl, Michael Wood & Romain Millan
We derive surface ice velocity using data from 16 satellite sensors deployed by 6 different space agencies. The list of sensors and the year that they were used are listed in the following (Table S1). The SAR data are processed from raw to single look complex using the GAMMA processor (www.gamma-rs.ch). All measurements rely on consecutive images where the ice displacement is estimated from tracking or interferometry (Joughin et al. 1998, Michel and Rignot 1999,...

Glacier catchments/basins for the Greenland Ice Sheet

Jeremie Mouginot & Eric Rignot
We divide Greenland, including its peripheral glaciers and ice caps, into 260 basins grouped in seven regions: southwest (SW), central west (CW), (iii) northwest (NW), north (NO), northeast (NE), central east (CE), and southeast (SE). These regions are selected based on ice flow regimes, climate, and the need to partition the ice sheet into zones comparable in size (200,000 km2 to 400,000 km2) and ice production (50 Gt/y to 100 Gt/y, or billion tons per...

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...

TCCON data from Caltech (US), Release GGG2020.R0

P. O. Wennberg, C.M. Roehl, D Wunch, J.-F. Blavier, G. C. Toon, N. T. Allen, R. Treffers & J. Laughner
The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including CO2, CH4, N2O, HF, CO, H2O, and HDO, are retrieved. This is the GGG2020 data release of observations from the TCCON station at California Institute of Technology, Pasadena, California, USA

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...

Digital holographic microscope recordings of passive motion of small particles

Christian Lindensmith, Jay Nadeau & Devan Rouzie
Digital holographic microscopy provides the ability to observe throughout a volume that is large compared to its resolution without the need to actively refocus to capture the entire volume. This enables simultaneous observations of large numbers of small objects within such a volume. We have constructed a microscope that can observe a volume of 0.4 x 0.4 x 1.0 µm with submicrometer resolution (in xy) and 2 µm resolution (in z) for observation of microorganisms...

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...

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...

Grounding line of Denman Glacier, East Antarctica from satellite radar interferometry

Virginia Brancato, Eric Rignot, Pietro Milillo, Mathieu Morlighem, Jeremie Mouginot, Lu An, Bernd Scheuchl, Seong Su Jeong, Paola Rizzoli, Jose Luiz Bueso Bello & Pau Prats-Iraola
Grounding line, elevation changes, and melt rates maps of Denman Glacier, East Antarctica. Using satellite radar interferometry from the COSMO-SkyMed mission we map the grounding line of Denman Glacier, East Antarctica. We complement these data with some historical interferometric radar acquisition from the European satellite ERS-1/2. We present new maps of elevation changes on the grounded and floating portions of Denman Glacier obtained by temporally differencing TanDEM-X Digital Elevation Models.

UCL CPOM CryoSat2 derived Dynamic Ocean Topography 2011-2021

Harold Heorton
The ocean surface height is constantly varying under the effects of gravity, density and the Earth's rotation. Information on the Ocean surface elevation in polar regions is available from the CryoSat2 Radar instrument. We compare ocean surface elevation to a static geoid product (GOCO03s) to give the part of the ocean surface elevation accountable due to surface currents, the Dynamic Ocean Topography (DOT). This measurement is smoothed over 100 km and gives monthly surface currents....

UCL CPOM CryoSat2 Polar Ocean Significant Wave Height 2011-2019

Harold Heorton
We present the significant ocean surface wave heights in the Arctic and Southern Oceans from CryoSat-2 data. We use a semi-analytical model for an idealised synthetic aperture satellite radar or pulse-limited radar altimeter echo power. We develop a processing methodology that specifically considers both the Synthetic Aperture and Pulse Limited modes of the radar that change close to the sea ice edge within the Arctic Ocean. All CryoSat-2 echoes to date were matched by our...

TCCON data from Jet Propulsion Laboratory (US), 2011, Release GGG2020.R0

P. O. Wennberg, C. M. Roehl, J.-F. Blavier, D. Wunch & N. T. Allen
The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including CO2, CH4, N2O, HF, CO, H2O, and HDO, are retrieved. This is the GGG2020 data release of observations from the TCCON station at Jet Propulsion Laboratory, Pasadena, California, USA

Registration Year

  • 2022
    12
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    5
  • 2020
    15
  • 2019
    8
  • 2018
    3
  • 2017
    1

Resource Types

  • Dataset
    44

Affiliations

  • Jet Propulsion Lab
    37
  • University of California, Irvine
    12
  • Jet Propulsion Laboratory, Pasadena, CA (US)
    7
  • Grenoble Alpes University
    7
  • Harvard University, Cambridge, MA (US)
    7
  • 6
  • California Institute of Technology, Pasadena, CA (US)
    6
  • University College London
    3
  • Department of Physics, University of Toronto, Toronto, ON (CA)
    3
  • University of Michigan, Ann Arbor, MI (US)
    2