Institution
Goddard Space Flight Center
Facility•Greenbelt, Maryland, United States•
About: Goddard Space Flight Center is a facility organization based out in Greenbelt, Maryland, United States. It is known for research contribution in the topics: Galaxy & Solar wind. The organization has 19058 authors who have published 63344 publications receiving 2786037 citations. The organization is also known as: GSFC & Space Flight Center.
Topics: Galaxy, Solar wind, Magnetosphere, Stars, Population
Papers published on a yearly basis
Papers
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TL;DR: The real-time forcing data set is constantly evolving to make use of the latest advances in forcing-related data sets, and all of the realtime and retrospective data sets are available online at http://ldas.gsfc.nasa.gov for visualization and downloading in both full and subset forms as discussed by the authors.
Abstract: [1] The accuracy of forcing data greatly impacts the ability of land surface models (LSMs) to produce realistic simulations of land surface processes. With this in mind, the multi-institutional North American Land Data Assimilation System (NLDAS) project has produced retrospective (1996–2002) and real-time (1999–present) data sets to support its LSM modeling activities. Featuring 0.125° spatial resolution, hourly temporal resolution, nine primary forcing fields, and six secondary validation/model development fields, each data set is based on a backbone of Eta Data Assimilation System/Eta data and is supplemented with observation-based precipitation and radiation data. Hourly observation-based precipitation data are derived from a combination of daily National Center for Environmental Prediction Climate Prediction Center (CPC) gauge-based precipitation analyses and hourly National Weather Service Doppler radar-based (WSR-88D) precipitation analyses, wherein the hourly radar-based analyses are used to temporally disaggregate the daily CPC analyses. NLDAS observation-based shortwave values are derived from Geostationary Operational Environmental Satellite radiation data processed at the University of Maryland and at the National Environmental Satellite Data and Information Service. Extensive quality control and validation efforts have been conducted on the NLDAS forcing data sets, and favorable comparisons have taken place with Oklahoma Mesonet, Atmospheric Radiation Measurement Program/cloud and radiation test bed, and Surface Radiation observation data. The real-time forcing data set is constantly evolving to make use of the latest advances in forcing-related data sets, and all of the real-time and retrospective data are available online at http://ldas.gsfc.nasa.gov for visualization and downloading in both full and subset forms.
580 citations
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California Institute of Technology1, Tel Aviv University2, University of Maryland, College Park3, Goddard Space Flight Center4, University of Wisconsin–Milwaukee5, Stockholm University6, Princeton University7, Liverpool John Moores University8, National Central University9, Hebrew University of Jerusalem10, University of Sydney11, Australian Research Council12, Indian Institute of Astrophysics13, Indian Institute of Science14, Commonwealth Scientific and Industrial Research Organisation15, University of Colorado Boulder16, Columbia University17, University of Washington18, Indian Institute of Technology Bombay19, Inter-University Centre for Astronomy and Astrophysics20, Lawrence Berkeley National Laboratory21, University of California, Berkeley22, George Washington University23, Texas Tech University24, University College London25, University of Leicester26, Space Telescope Science Institute27, National Radio Astronomy Observatory28, University of Southampton29, University of Portsmouth30, Radboud University Nijmegen31, Tokyo Institute of Technology32, Max Planck Society33, Adler Planetarium34, Northwestern University35, University of Oxford36, Weizmann Institute of Science37, San Diego State University38, Institute for the Physics and Mathematics of the Universe39, University of California, Merced40
TL;DR: It is demonstrated that merging neutron stars are a long-sought production site forging heavy elements by r-process nucleosynthesis, which is dissimilar to classical short gamma-ray bursts with ultrarelativistic jets.
Abstract: Merging neutron stars offer an excellent laboratory for simultaneously studying strong-field gravity and matter in extreme environments. We establish the physical association of an electromagnetic counterpart (EM170817) with gravitational waves (GW170817) detected from merging neutron stars. By synthesizing a panchromatic data set, we demonstrate that merging neutron stars are a long-sought production site forging heavy elements by r-process nucleosynthesis. The weak gamma rays seen in EM170817 are dissimilar to classical short gamma-ray bursts with ultrarelativistic jets. Instead, we suggest that breakout of a wide-angle, mildly relativistic cocoon engulfing the jet explains the low-luminosity gamma rays, the high-luminosity ultraviolet-optical-infrared, and the delayed radio and x-ray emission. We posit that all neutron star mergers may lead to a wide-angle cocoon breakout, sometimes accompanied by a successful jet and sometimes by a choked jet.
579 citations
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Southwest Research Institute1, University of New Hampshire2, University of California, Berkeley3, University of Maryland, College Park4, Goddard Space Flight Center5, University of Colorado Boulder6, Imperial College London7, West Virginia University8, Austrian Academy of Sciences9, Johns Hopkins University Applied Physics Laboratory10, University of California, Los Angeles11, University of Delaware12, Swedish Institute of Space Physics13, Royal Institute of Technology14, The Aerospace Corporation15, Advanced Technology Center16, Rice University17, Marshall Space Flight Center18
TL;DR: For example, NASA's magnetospheric multiscale (MMS) mission has found direct evidence for electron demagnetization and acceleration at sites along the sunward boundary of Earth's magnetosphere where the interplanetary magnetic field reconnects with the terrestrial magnetic field as discussed by the authors.
Abstract: Magnetic reconnection is a fundamental physical process in plasmas whereby stored magnetic energy is converted into heat and kinetic energy of charged particles Reconnection occurs in many astrophysical plasma environments and in laboratory plasmas Using measurements with very high time resolution, NASA's Magnetospheric Multiscale (MMS) mission has found direct evidence for electron demagnetization and acceleration at sites along the sunward boundary of Earth's magnetosphere where the interplanetary magnetic field reconnects with the terrestrial magnetic field We have (i) observed the conversion of magnetic energy to particle energy; (ii) measured the electric field and current, which together cause the dissipation of magnetic energy; and (iii) identified the electron population that carries the current as a result of demagnetization and acceleration within the reconnection diffusion/dissipation region
579 citations
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TL;DR: In this paper, the linear relationship of Log e Rainfall with Net Primary Production (NPP) and NDVI was calculated for every pixel and the RESTREND method showed promising results at a national scale and in the Limpopo Province, where negative trends were often associated with degraded areas in communal lands.
578 citations
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TL;DR: Land Information System is a software framework that integrates the use of satellite and ground-based observational data along with advanced land surface models and computing tools to accurately characterize land surface states and fluxes to enable the definition, intercomparison, and validation of land surface modeling standards and the reuse of a high quality land surface modeled and computing system.
Abstract: Knowledge of land surface water, energy, and carbon conditions are of critical importance due to their impact on many real world applications such as agricultural production, water resource management, and flood, weather, and climate prediction. Land Information System (LIS) is a software framework that integrates the use of satellite and ground-based observational data along with advanced land surface models and computing tools to accurately characterize land surface states and fluxes. LIS employs the use of scalable, high performance computing and data management technologies to deal with the computational challenges of high resolution land surface modeling. To make the LIS products transparently available to the end users, LIS includes a number of highly interactive visualization components as well. The LIS components are designed using object-oriented principles, with flexible, adaptable interfaces and modular structures for rapid prototyping and development. In addition, the interoperable features in LIS enable the definition, intercomparison, and validation of land surface modeling standards and the reuse of a high quality land surface modeling and computing system.
577 citations
Authors
Showing all 19247 results
Name | H-index | Papers | Citations |
---|---|---|---|
Anton M. Koekemoer | 168 | 1127 | 106796 |
Alexander S. Szalay | 166 | 936 | 145745 |
David W. Johnson | 160 | 2714 | 140778 |
Donald G. York | 160 | 681 | 156579 |
Takeo Kanade | 147 | 799 | 103237 |
Gillian R. Knapp | 145 | 460 | 121477 |
Olaf Reimer | 144 | 716 | 74359 |
R. A. Sunyaev | 141 | 848 | 107966 |
Christopher T. Russell | 137 | 2378 | 97268 |
Hui Li | 135 | 2982 | 105903 |
Neil Gehrels | 134 | 727 | 80804 |
Christopher B. Field | 133 | 408 | 88930 |
Igor V. Moskalenko | 132 | 542 | 58182 |
William T. Reach | 131 | 535 | 90496 |
Adam Burrows | 130 | 623 | 55483 |