The Community Coordinated Modeling Center has been leading community-wide space science and space weather model validation projects for many years. These efforts have been broadened and extended via the newly launched International Forum for Space Weather Modeling Capabilities Assessment (https://ccmc.gsfc.nasa.gov/assessment/). Its objective is to track space weather models' progress and performance over time, a capability that is critically needed in space weather operations and different user communities in general. The Space Radiation and Plasma Effects Working Team of the aforementioned International Forum works on one of the many focused evaluation topics and deals with five different subtopics (https://ccmc.gsfc.nasa.gov/assessment/topics/radiation-all.php) and varieties of particle populations: Surface Charging from tens of eV to 50-keV electrons and internal charging due to energetic electrons from hundreds keV to several MeVs. Single-event effects from solar energetic particles and galactic cosmic rays (several MeV to TeV), total dose due to accumulation of doses from electrons (>100 keV) and protons (>1 MeV) in a broad energy range, and radiation effects from solar energetic particles and galactic cosmic rays at aviation altitudes. A unique aspect of the Space Radiation and Plasma Effects focus area is that it bridges the space environments, engineering, and user communities. The intent of the paper is to provide an overview of the current status and to suggest a guide for how to best validate space environment models for operational/engineering use, which includes selection of essential space environment and effect quantities and appropriate metrics.
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http://dx.doi.org/10.1029/2018SW002042 | DOI Listing |
Sci Data
December 2024
University of Oslo, Department of Geosciences, Oslo, 0313, Norway.
Sea ice is a key element of the global Earth system, with a major impact on global climate and regional weather. Unfortunately, accurate sea ice modeling is challenging due to the diversity and complexity of underlying physics happening there, and a relative lack of ground truth observations. This is especially true for the Marginal Ice Zone (MIZ), which is the area where sea ice is affected by incoming ocean waves.
View Article and Find Full Text PDFPhys Rev E
November 2024
School of Physical and Chemical Sciences, Queen Mary University of London, London E1 4NS, United Kingdom and Space Weather Technology, Research and Education Center (SWx-TREC), University of Colorado, Boulder, Colorado 80309, USA.
The properties of energy transfer in the kinetic range of plasma turbulence have fundamental implications on the turbulent heating of space and astrophysical plasmas. It was suggested that magnetic reconnection may be responsible for driving the subion scale cascade, and that this process would be characterized by a direct energy transfer toward even smaller scales (until dissipation), and a simultaneous inverse transfer of energy toward larger scales, until the ion break. Here we employ the space-filter technique on high-resolution 2D3V hybrid-Vlasov simulations of continuously driven turbulence providing quantitative evidence that magnetic reconnection is indeed able to trigger a dual energy transfer originating at subion scales.
View Article and Find Full Text PDFEnviron Monit Assess
December 2024
School of Electronic Information Engineering, Beihang University, Beijing, 100191, China.
The accurate monitoring of atmospheric water vapor is important for disaster prevention and environmental management. The ground-based BeiDou Navigation Satellite System (BDS) technique for atmospheric water vapor monitoring has demonstrated high accuracy and stable performance. Considering autonomy and safety, the standalone BDS receiver will be promoted in China and its surrounding areas for meteorological applications.
View Article and Find Full Text PDFSensors (Basel)
December 2024
School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, China.
Weather prediction is of great significance for human daily production activities, global extreme climate prediction, and environmental protection of the Earth. However, the existing data-based weather prediction methods cannot adequately capture the spatial and temporal evolution characteristics of the target region, which makes it difficult for the existing methods to meet practical application requirements in terms of efficiency and accuracy. Changes in weather involve both strongly correlated spatial and temporal continuation relationships, and at the same time, the variables interact with each other, so capturing the dynamic correlations among space, time, and variables is particularly important for accurate weather prediction.
View Article and Find Full Text PDFEnviron Monit Assess
December 2024
Department of Civil Engineering, Indian Institute of Technology Guwahati, Guwahati, Assam, India.
Snow is considered contaminated when any foreign materials are deposited/mixed with it, which can accelerate melting and significantly impact the snow cover's radiative balance. Such an enhanced melting rate results in a reduction in freshwater sources at the catchment level. In optical remote sensing, snow contamination is widely studied using a normalizing difference index called the snow contamination index.
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