Meteorological data processing chain for cloud detection and characterization

A project was started in 1990 to rationalize the avalanche warning and evacuation system. The major items in the model project were: (1) zoning methods for dangerous areas; (2) establishment of a surveillance system; and (3) methods of determining a warning and evacuation standard. Since the scale of a snow avalanche cannot be predicted, areas with more than 30 KN m2 of impact are identified. Equipment for conducting automatic surveillance and data processing was developed to telemeter snow and weather data. Issuing warning or evacuation advice is the focus of the discussion. Judgment is based on information on current conditions obtained from a telemeter and from residents, and on information provided by forecasts of snowfall and temperatures until the following morning. Two methods of judgment are under consideration: one is to set out a standard value based on meteorological data obtained by observation, the other is based on a discriminant of danger level.

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Data processing chain for high spatial resolution magnetic survey: Application on the Neolithic site of le Pontet (Charente-maritime, France)

Archaeological Prospection ◽

10.1002/arp.1590 ◽

2017 ◽

Vol 25 (1) ◽

pp. 3-16 ◽

Cited By ~ 1

Author(s):

Guillaume Bruniaux ◽

Vivien Mathé ◽

François Lévêque ◽

Adrien Camus ◽

Vincent Ard

Keyword(s):

Data Processing ◽

Spatial Resolution ◽

High Spatial Resolution ◽

Magnetic Survey ◽

Neolithic Site ◽

Processing Chain

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THz imaging in the frame of the Archaeological Urban Park of Naples project

10.5194/egusphere-egu2020-18736 ◽

2020 ◽

Author(s):

Ilaria Catapano ◽

Carlo Noviello ◽

Giovanni Ludeno

Keyword(s):

Data Processing ◽

Cultural Heritage ◽

Time Domain ◽

Imaging Techniques ◽

Urban Park ◽

Thz Imaging ◽

Terahertz Waves ◽

Non Invasive ◽

Processing Chain ◽

Molecular Stability

The Archaeological Urban Park of Naples (PAUN) project aims at addressing the need of analytical information relating to cultural heritage with modalities that encourage innovation systems of protection and enhancement. In this frame, one of the specific goals is the testing of multiple non-invasive or only minimally invasive investigation techniques, aimed at identifying a permanent diagnostic system calibrated to the specific context of the Urban Archaeological Park of Piazza Municipio, Napoli, Italy.Among the electromagnetic sensing technologies, those exploiting Terahertz waves (1THz = 1012 Hz) are the newest among the imaging techniques, which offers the attractive chance of characterizing the inner features of manmade objects with a sub-millimeter spatial resolution in a non-invasive way while assuring negligible long-term risks to the molecular stability of the exposed objects.This possibility together with the recent development of compact, transportable and easily reconfigurable devices make THz imaging a more and more widespread considered investigation tool in the frame of cultural heritage. THz imaging allows, indeed, the gaining of information useful to improve knowledge about the design technique adopted by the artist and to detect possible damages affecting the conservation state of precious artworks [1].In the frame of PAUN project, THz imaging is considered as part of the sensor network, which is dedicated to the material characterization and supports the conservation and use of the assets of the Urban Archaeological Park of Piazza Municipio. Specifically, THz imaging is adopted to analyze ancient decorated mortar specimens and gather information on their stratigraphy. At this regard, it is worth pointing out that the effectiveness of THz imaging, i.e. the capability of obtaining high resolution images of the object under test, is dependent not only on the performances of the hardware technology but also on the data processing approaches. Herein, we consider the time domain Z-Omega Fiber-Coupled Terahertz Time Domain (FICO) system, which is available at IREA-CNR, and a data processing chain specifically designed to improve the discrimination of different material layers and to reconstruct the inner features characterizing the investigated artworks [2].&#160;[1] Fukunaga, THz Technology Applied to Cultural Heritage in Practice, Cultural Heritage Science, Springer.[2] Catapano, I., Soldovieri, F. A Data Processing Chain for Terahertz Imaging and Its Use in Artwork Diagnostics. J Infrared Milli Terahz Waves 38, 518&#8211;530 (2017).&#160;Acknowledge: Authors would like to thank the PAUN project &#8220;Archaeological Urban Park of Naples&#8221; by which the present work has been financed.&#160;

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From NEON Field Sites to Data Portal: A Community Resource for Surface–Atmosphere Research Comes Online

Bulletin of the American Meteorological Society ◽

10.1175/bams-d-17-0307.1 ◽

2019 ◽

Vol 100 (11) ◽

pp. 2305-2325 ◽

Cited By ~ 2

Author(s):

Stefan Metzger ◽

Edward Ayres ◽

David Durden ◽

Christopher Florian ◽

Robert Lee ◽

...

Keyword(s):

Data Processing ◽

Atmospheric Chemistry ◽

Meteorological Data ◽

The United States ◽

Observation System ◽

Ongoing Research ◽

Continental Scale ◽

Surface Atmosphere ◽

Data Products ◽

Data Portal

AbstractThe National Ecological Observatory Network (NEON) is a multidecadal and continental-scale observatory with sites across the United States. Having entered its operational phase in 2018, NEON data products, software, and services become available to facilitate research on the impacts of climate change, land-use change, and invasive species. An essential component of NEON are its 47 tower sites, where eddy-covariance (EC) sensors are operated to determine the surface–atmosphere exchange of momentum, heat, water, and CO2. EC tower networks such as AmeriFlux, the Integrated Carbon Observation System (ICOS), and NEON are vital for providing the distributed observations to address interactions at the soil–vegetation–atmosphere interface. NEON represents the largest single-provider EC network globally, with standardized observations and data processing explicitly designed for intersite comparability and analysis of feedbacks across multiple spatial and temporal scales. Furthermore, EC is tightly integrated with soil, meteorology, atmospheric chemistry, isotope, phenology, and rich contextual observations such as airborne remote sensing and in situ sampling bouts. Here, we present an overview of NEON’s observational design, field operation, and data processing that yield community resources for the study of surface–atmosphere interactions. Near-real-time data products become available from the NEON Data Portal, and EC and meteorological data are ingested into AmeriFlux and FLUXNET globally harmonized data releases. Open-source software for reproducible, extensible, and portable data analysis includes the eddy4R family of R packages underlying the EC data product generation. These resources strive to integrate with existing infrastructures and networks, to suggest novel systemic solutions, and to synergize ongoing research efforts across science communities.

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