scholarly journals The Atacama Cosmology Telescope: Summary of DR4 and DR5 Data Products and Data Access

2021 ◽  
Vol 255 (1) ◽  
pp. 11
Author(s):  
Maya Mallaby-Kay ◽  
Zachary Atkins ◽  
Simone Aiola ◽  
Stefania Amodeo ◽  
Jason E. Austermann ◽  
...  
2015 ◽  
Vol 49 (2) ◽  
pp. 10-22 ◽  
Author(s):  
Holly A. Bamford ◽  
Carol Kavanagh

AbstractThe National Ocean Service (NOS), a line office of the National Oceanic and Atmospheric Administration (NOAA), is the nation's ocean and coastal agency. Our activities span a broad range that includes charting our nation's coastline; defining the National Spatial Reference System; providing the national network of coastal tide and water level sensors; serving as the lead federal agency of the U.S. Integrated Ocean Observing System; administering the Coastal Zone Management Program; providing the scientific foundation and socioeconomic information to local, state, and regional decision makers to adapt to the impacts of coastal hazards and climate change; serving as the authoritative resource for science related to debris, oil, and chemical spills; managing marine sanctuaries; and supporting the management of estuarine research reserves, coral reefs, and marine protected areas. Today, our coasts and coastal communities face increasingly significant impacts of higher intensity coastal storms; changing sea levels and Great Lakes levels; increased coastal development; increased demand on natural resources and infrastructure; and increased demands on our marine transportation system. In response to these issues, NOS aligns its activities along three priorities: (1) supporting coastal resilience; (2) advancing coastal intelligence; and (3) promoting place-based conservation. NOS relies on coastal observations and data products to carry out our mission. Characteristics of future coastal observations include lower cost coupled with greater efficiency, diverse platforms, multiuse data collection, and crowdsourcing. Data products will need to be increasingly geographically tailored; result from a greater degree of coordination and integration; and result in greater data access.


2020 ◽  
Vol 12 (17) ◽  
pp. 2821
Author(s):  
Zhong Liu ◽  
Chung-Lin Shie ◽  
Angela Li ◽  
David Meyer

Satellite remote sensing and model data play an important role in research and applications of tropical meteorology and climatology over vast, data-sparse oceans and remote continents. Since the first weather satellite was launched by NASA in 1960, a large collection of NASA’s Earth science data is freely available to the research and application communities around the world, significantly improving our overall understanding of the Earth system and environment. Established in the mid-1980s, the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC), located in Maryland, USA, is a data archive center for multidisciplinary, satellite and model assimilation data products. As one of the 12 NASA data centers in Earth sciences, GES DISC hosts several important NASA satellite missions for tropical meteorology and climatology such as the Tropical Rainfall Measuring Mission (TRMM), the Global Precipitation Measurement (GPM) Mission and the Modern-Era Retrospective analysis for Research and Applications (MERRA). Over the years, GES DISC has developed data services to facilitate data discovery, access, distribution, analysis and visualization, including Giovanni, an online analysis and visualization tool without the need to download data and software. Despite many efforts for improving data access, a significant number of challenges remain, such as finding datasets and services for a specific research topic or project, especially for inexperienced users or users outside the remote sensing community. In this article, we list and describe major NASA satellite remote sensing and model datasets and services for tropical meteorology and climatology along with examples of using the data and services, so this may help users better utilize the information in their research and applications.


2020 ◽  
Author(s):  
Miruna Stoicescu ◽  
Guillaume Aubert ◽  
Fabrizio Borgia ◽  
Oriol Espanyol ◽  
Mark Higgins ◽  
...  

<p>EUMETSAT offers a vast and growing collection of earth observation data produced by over 35 years of operational meteorological satellites. New data products are produced 24/7x365 and consistency with previous satellites and other missions is ensured by intercalibration and reprocessing campaigns. The benefits for the geosciences community are readily apparent - a recent survey showed that EUMETSAT and its Satellite Application Facilities produce 26% of the Essential Climate Variable records identified by the Global Climate Observing System that can be observed from space.<br><br>With the advent of new core satellite programmes and many narrowly focused missions, the volume and complexity of the generated data products will increase significantly, making it unfeasible for traditional workflows, relying on accessing data holdings present on the user's premises, to fully exploit these observations.<br><br>Users can access EUMETSAT data via two service categories: “push” services, currently provided by EUMETCast Satellite and delivering data to users via satellite systems in near real-time, and “pull” services, currently provided by the Long Term Archive and by the EUMETSAT Visualisation Service (EUMETView). EUMETSAT is in the process of reshaping its data services portfolio by leveraging big data and cloud computing technologies. The new Data Services are being phased into operations during 2020 and address several challenges with using EUMETSAT's data: near real-time data access, accessing time series, viewing data, transforming it to make it compatible with downstream workflows, and processing data on the premises where they are stored.<br><br>EUMETSAT has established an on-premises hybrid cloud, in which new Data Services for online data access (Data Store), web map visualisations (View Service) and product format customisations (Data Tailor) are hosted. Additionally, our “push” services are extended, with the introduction of the EUMETCAST Terrestrial service.<br><br>The Data Store provides online access for directly downloading satellite data via a web-based user interface and APIs usable in processing chains. Users can download the data in its original format or customise it before download by invoking the Data Tailor Service. The View Service provides access via standard OGC Web Map, Web Coverage and Web Feature Services (WMS, WCS, WFS) which visualise data available in the Data Store. It is accessible via a web-based interface and APIs allowing the integration of visualisations in end-user applications. EUMETCast Terrestrial is an evolution of the EUMETCast Satellite system that relies on the network infrastructure provided by GEANT and its partners plus the Internet to deliver high volumes of data worldwide. EUMETCast Terrestrial is able to deliver data outside the EUMETCast Satellite footprint and to user communities large enough to benefit from a multicast service, but not large enough to justify a full satellite-based broadcast.<br><br>This presentation will showcase these new Data Services, which enable users to transition from traditional local data processing regimes to cloud-native research workflows. With the new Data Services, users can easily discover, explore, and tailor data products to their needs and thus shift the effort from data and infrastructure handling to domain-specific and scientific topics.</p>


Author(s):  
P. Sudheer ◽  
T. Lakshmi Surekha

Cloud computing is a revolutionary computing paradigm, which enables flexible, on-demand, and low-cost usage of computing resources, but the data is outsourced to some cloud servers, and various privacy concerns emerge from it. Various schemes based on the attribute-based encryption have been to secure the cloud storage. Data content privacy. A semi anonymous privilege control scheme AnonyControl to address not only the data privacy. But also the user identity privacy. AnonyControl decentralizes the central authority to limit the identity leakage and thus achieves semi anonymity. The  Anonymity –F which fully prevent the identity leakage and achieve the full anonymity.


2011 ◽  
Vol 34 (3) ◽  
pp. 473-481
Author(s):  
Guo-Fu XIE ◽  
Wen-Cheng WANG
Keyword(s):  

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