Meteorological Data Files and Data Processing

1991 ◽  
pp. 88-108
Author(s):  
Willie L. Dutré
Author(s):  
J. Abson ◽  
A. Prall ◽  
I. D. P. Wootton

This paper completes the description of the Phoenix system by outlining the additional programs necessary to maintain the data files in a satisfactory condition and prevent them from becoming overfilled. The standards of training required by the operating staff are discussed and an assessment is made of the system performance in terms of cost/benefit. This was achieved by observing the time spent by staff during a period when the throughput of work was accurately measured. From these figures it is possible to estimate the needs of another laboratory. Finally, the continued extension of the computer facilities into other pathology disciplines and the provision of terminals in the hospital is described.


2017 ◽  
Vol 50 (3) ◽  
pp. 959-966 ◽  
Author(s):  
J. Filik ◽  
A. W. Ashton ◽  
P. C. Y. Chang ◽  
P. A. Chater ◽  
S. J. Day ◽  
...  

A software package for the calibration and processing of powder X-ray diffraction and small-angle X-ray scattering data is presented. It provides a multitude of data processing and visualization tools as well as a command-line scripting interface for on-the-fly processing and the incorporation of complex data treatment tasks. Customizable processing chains permit the execution of many data processing steps to convert a single image or a batch of raw two-dimensional data into meaningful data and one-dimensional diffractograms. The processed data files contain the full data provenance of each process applied to the data. The calibration routines can run automatically even for high energies and also for large detector tilt angles. Some of the functionalities are highlighted by specific use cases.


Author(s):  
Anisa Tri Wahyuni ◽  
Sapri Sapri ◽  
Dimas Aulia Tringgana

ABSTRAKPAUD Uswatun Hasanah Kota Bengkulu merupakan salah satu lembaga pendidikan yang menyelenggarakan Program TK, Kober, TPA, SPS. Selama ini proses pengolahan data di PAUD masih menggunakan cara konvensional yaitu dengan mengisi formulir pendaftaran calon peserta didik, pendataan calon peserta didik, guru, hingga pembayaran uang rutin SPP. Dengan proses pengolahan data tersebut, terdapat masalah yang muncul yaitu sering terjadi kehilangan arsip data. Sistem pengolahan data terpadu berbasis client server pada PAUD Uswatun Hasanah Bengkulu dibuat menggunakan bahasa pemrograman PHP dan Database MySQL. Aplikasi ini digunakan untuk membantu proses pengolahan data, sehingga mempermudah admin dalam proses pengarsipan dan pengambilan data. Kata Kunci : Client Server, PHP dan mySQL ABSTRACTPAUD Uswatun Hasanah Bengkulu City is one of the educational institutions that organizes TK, Kober, TPA, SPS Programs. During this time the data processing in PAUD still uses conventional methods, namely by filling in the registration forms of prospective students, data collection of prospective students, teachers, to routine payment of SPP money. With the data processing, there is a problem that arises that is often the loss of data files. Integrated client server based data processing system in Uswatun Hasanah PAUD Bengkulu was made using the PHP programming language and MySQL Database. This application is used to assist data processing, making it easier for admins in the process of archiving and retrieving data. Keywords: Client Server, PHP and MySQL


1993 ◽  
Vol 18 ◽  
pp. 245-250
Author(s):  
Hideki Terada ◽  
Kazunori Fujisawa ◽  
Yoshimitsu Nakamura ◽  
Noriyuki Minami

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.


2019 ◽  
Vol 100 (11) ◽  
pp. 2305-2325 ◽  
Author(s):  
Stefan Metzger ◽  
Edward Ayres ◽  
David Durden ◽  
Christopher Florian ◽  
Robert Lee ◽  
...  

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.


2011 ◽  
Vol 117-119 ◽  
pp. 1759-1765 ◽  
Author(s):  
Sheng Jun Xue ◽  
Wu Bin Pan ◽  
Wei Fang

With the cloud computing is becoming mature, many of its characteristics for meteorological data processing is extremely important. Since HDFS is designed for reading and writing large files, it’s difficult to be taken advantage of small meteorological files. In this paper, an improved approach on HDFS is proposed for small meteorological files, small files are to be merged, indexed, and blocks are compressed, the pressure of memory on master node occupied by metadata is relieved, the speed of reading and writing small files is increased, read speed is increased by 50%, and write speed is up to 3-4 times of the original, saving about 2/3 of storage space and computing performance has also been improved. Thus, meteorological data processing can make use of cloud computing platform more closely.


Sign in / Sign up

Export Citation Format

Share Document