scholarly journals The Tall Tower Dataset. A unique initiative to boost wind energy research

2019 ◽  
Author(s):  
Jaume Ramon ◽  
Llorenç Lledó ◽  
Núria Pérez-Zañón ◽  
Albert Soret ◽  
Francisco J. Doblas-Reyes
Keyword(s):  
Quality Control ◽  
Wind Energy ◽  
Ground Level ◽  
Barometric Pressure ◽  
Pressure Data ◽  
Energy Research ◽  
Research Fields ◽  
The World ◽  
Tall Tower

Abstract. A dataset containing quality controlled wind observations from 222 tall towers has been created. Wind speed and wind direction measurements have been collected from existing tall towers around the world in an effort to boost the utilisation of these non-standard atmospheric datasets, especially within the wind energy and research fields. The observations taken at several heights greater than 10 metres above ground level have been retrieved from various sparse datasets and compiled in a unique collection with a common format, access, documentation and quality control. For the latter, a total of 18 Quality Control checks have been considered to ensure the high quality of the wind records. Non-quality-controlled temperature, relative humidity and barometric pressure data from the towers have also been obtained and included in the dataset. The Tall Tower Dataset (Ramon and Lledó, 2019a) is published in the repository EUDAT and made available at https://doi.org/10.23728/b2share.0d3a99db75df4238820ee548f35ee36b.

scholarly journals The Tall Tower Dataset: a unique initiative to boost wind energy research

2020 ◽  
Vol 12 (1) ◽  
pp. 429-439
Author(s):  
Jaume Ramon ◽  
Llorenç Lledó ◽  
Núria Pérez-Zanón ◽  
Albert Soret ◽  
Francisco J. Doblas-Reyes
Keyword(s):  
Quality Control ◽  
Wind Energy ◽  
Ground Level ◽  
Barometric Pressure ◽  
Pressure Data ◽  
Energy Research ◽  
Research Fields ◽  
The World ◽  
Tall Tower

Abstract. A dataset containing quality-controlled wind observations from 222 tall towers has been created. Wind speed and wind direction measurements covering the 1984–2017 period have been collected from existing tall towers around the world in an effort to boost the utilization of these non-standard atmospheric datasets, especially within the wind energy and research fields. Observations taken at several heights greater than 10 m above ground level have been retrieved from various sparse datasets and compiled in a unique collection with a common format, access, documentation and quality control. For the last, a total of 18 quality control checks have been considered to ensure the high quality of the wind records. Non-quality-controlled temperature, relative humidity and barometric pressure data from the towers have also been obtained and included in the dataset. The Tall Tower Dataset (Ramon and Lledó, 2019a) is published in the repository EUDAT and made available at https://doi.org/10.23728/b2share.136ecdeee31a45a7906a773095656ddb.

Supplementary material to "The Tall Tower Dataset. A unique initiative to boost wind energy research"

2019 ◽  
Author(s):  
Jaume Ramon ◽  
Llorenç Lledó ◽  
Núria Pérez-Zañón ◽  
Albert Soret ◽  
Francisco J. Doblas-Reyes
Keyword(s):  
Wind Energy ◽  
Energy Research ◽  
Supplementary Material ◽  
Tall Tower

scholarly journals Assessing the feasibility of using a neural network to filter Orbiting Carbon Observatory 2 (OCO-2) retrievals at northern high latitudes

2021 ◽  
Vol 14 (12) ◽  
pp. 7511-7524
Author(s):  
Joseph Mendonca ◽  
Ray Nassar ◽  
Christopher W. O'Dell ◽  
Rigel Kivi ◽  
Isamu Morino ◽  
...  
Keyword(s):  
Neural Network ◽  
Quality Control ◽  
High Latitude ◽  
Total Carbon ◽  
High Latitudes ◽  
Satellite Retrievals ◽  
The World ◽  
Northern High Latitude ◽  
Quality Control Filter

Abstract. Satellite retrievals of XCO2 at northern high latitudes currently have sparser coverage and lower data quality than most other regions of the world. We use a neural network (NN) to filter Orbiting Carbon Observatory 2 (OCO-2) B10 bias-corrected XCO2 retrievals and compare the quality of the filtered data to the quality of the data filtered with the standard B10 quality control filter. To assess the performance of the NN filter, we use Total Carbon Column Observing Network (TCCON) data at selected northern high latitude sites as a truth proxy. We found that the NN filter decreases the overall bias by 0.25 ppm (∼ 50 %), improves the precision by 0.18 ppm (∼ 12 %), and increases the throughput by 16 % at these sites when compared to the standard B10 quality control filter. Most of the increased throughput was due to an increase in throughput during the spring, fall, and winter seasons. There was a decrease in throughput during the summer, but as a result the bias and precision were improved during the summer months. The main drawback of using the NN filter is that it lets through fewer retrievals at the highest-latitude Arctic TCCON sites compared to the B10 quality control filter, but the lower throughput improves the bias and precision.

scholarly journals Pengendalian Kualitas Produksi Panel Drum Dengan Menggunakan Metode Peta Kontrol Di PT. Atmindo

2019 ◽  
Vol 2 (1) ◽  
pp. 18
Author(s):  
Yan Hari Tama Nasution ◽  
Raspal Singh ◽  
Ninny Siregar
Keyword(s):  
Quality Control ◽  
Working Hours ◽  
Drum Boiler ◽  
Defect Type ◽  
The World ◽  
Control Production ◽  
Production Company ◽  
Quality Production

<pre>In course of its production, many factor which can make the downhill quality production, especially in shares produce the component of panel of drum boiler, even part of Quality Control do not want to accept result of the production because assumed by a handicap. Defect type that happened that is porosity, under cut, weld beat And over mop, becoming main problem is defect type of porosity and weld beat of because at most happened knowable after. The control map in the world of Quality Control in company produce that is method solve of problem which is usually used in the field of industrial technique to control the quality of production. So that be story level of mistake or product handicap earn in minimizing till no mistake. In the world of Quality Control production company, this method in the field of the industrial technique in application in its execution and felt by result benefit and to the staff employees also represent an advantage to company minimizing cost of expenditure of purchasing of material and working hours of employees in the event of repetition of component work which is equal to rebought new other material , because effect of the happening of handicap produce.</pre>

scholarly journals Measurements of greenhouse gases at Beromünster tall-tower station in Switzerland

2016 ◽  
Vol 9 (6) ◽  
pp. 2603-2614 ◽  
Author(s):  
Tesfaye Ayalneh Berhanu ◽  
Ece Satar ◽  
Rudiger Schanda ◽  
Peter Nyfeler ◽  
Hanspeter Moret ◽  
...  
Keyword(s):  
Greenhouse Gases ◽  
Measurement System ◽  
Monitoring Network ◽  
Temperature Stability ◽  
Ground Level ◽  
Barometric Pressure ◽  
Air Conditioning System ◽  
Gas Measurements ◽  
Tall Tower

Abstract. In order to constrain the regional flux of greenhouse gases, an automated measurement system was built on an old radio tower at Beromünster, Switzerland. The measurement system has been running since November 2012 as part of the Swiss greenhouse gases monitoring network (CarboCount-CH), which is composed of four measurement sites across the country. The Beromünster tall tower has five sampling lines with inlets at 12.5, 44.6, 71.5, 131.6, and 212.5 m above ground level, and it is equipped with a Picarro cavity ring-down spectrometer (CRDS) analyzer (G-2401), which continuously measures CO, CO2, CH4, and H2O. Sensors for detection of wind speed and direction, air temperature, barometric pressure, and humidity have also been installed at each height level. We have observed a non-negligible temperature effect in the calibration measurements, which was found to be dependent on the type of cylinder (steel or aluminum) as well as trace gas species (strongest for CO). From a target gas of known mixing ratio that has been measured once a day, we have calculated a long-term reproducibility of 2.79 ppb, 0.05 ppm, and 0.29 ppb for CO, CO2, and CH4, respectively, over 19 months of measurements. The values obtained for CO2 and CH4 are compliant with the WMO recommendations, while the value calculated for CO is higher than the recommendation. Since the installation of an air-conditioning system recently at the measurement cabin, we have acquired better temperature stability of the measurement system, but no significant improvement was observed in the measurement precision inferred from the target gas measurements. Therefore, it seems that the observed higher variation in CO measurements is associated with the instrumental noise, compatible with the precision provided by the manufacturer.

Quality Control and Verification of Weather Radar Wind Profiles

2005 ◽  
Vol 22 (10) ◽  
pp. 1541-1550 ◽  
Author(s):  
Iwan Holleman
Keyword(s):  
Quality Control ◽  
Weather Prediction ◽  
Weather Radar ◽  
Ground Level ◽  
Limited Area ◽  
Wind Profiles ◽  
Nwp Model ◽  
Radial Velocity Data ◽  
Better Than

Abstract Weather radar wind profiles (WRWPs) have been retrieved from Doppler volume scans using different implementations of the velocity–azimuth display (VAD) and volume velocity processing (VVP) methods. An extensive quality control of the radial velocity data and the retrieved wind vectors has been applied. The quality and availability of the obtained wind profiles have been assessed by comparisons with collocated radiosonde observations and numerical weather prediction (NWP) data over a 9-month period. The comparisons reveal that the VVP methods perform better than the VAD methods, and that the simplest implementation of the VVP (VVP1) method performs the best of all. The availability fraction of VVP1 wind vectors is about 0.39 at ground level and drops below 0.16 at a 6-km altitude. The observation minus background statistics of the VVP1 wind profiles against the High Resolution Limited Area Model (HIRLAM) NWP model are at least as good as those of the radiosonde profiles. This result clearly demonstrates the high quality of (quality controlled) weather radar wind profiles.

scholarly journals Essence of Quality Control in Small Manufacturing Industry

2016 ◽  
Vol 3 (3) ◽  
Author(s):  
Arijit Mukherjee ◽  
Abhijit Chakraborty ◽  
Sujit Kumar Garai
Keyword(s):  
Quality Control ◽  
World Economy ◽  
Manufacturing Industry ◽  
Spare Parts ◽  
Severe Problem ◽  
The World

<div><p><em>The SMEs are an important part for world economy. The various categories of SMEs are spread throughout the world. In some cases they are competing with the big companies and at some instances they are working as vendor for supplying their spare parts and ancillaries. But there is a severe problem regarding quality of the product produced by them. In this paper an attempt has been made to improve the quality of the product by the help of Quality Control. For this , a particular SME firm has been studied and analyzed in order to give a solution of the quality related problems.</em></p></div>

scholarly journals proses supervisi

2019 ◽  
Author(s):  
aprilaukhti
Keyword(s):  
Quality Control ◽  
Human Resources ◽  
The Other ◽  
Educational Institutions ◽  
Intellectual Life ◽  
Work Process ◽  
Non Profit ◽  
The World ◽  
Quality Controller

Educational institutions can be categorized as non-profit organizations that serve the community. Even though it is non-profit, it does not mean that schools are not required to continue to improve the quality of the process and the output of education. On the other hand, schools are expected to really pay attention to quality, because the sacred duty they carry is to contribute to the intellectual life of the nation, and improve the quality of Indonesia's human resources. In maintaining the quality of the process, it is necessary to have a quality controller that oversees the running of the process and all its supporting components. However quality control in the world of education is certainly different from companies that produce goods / services. School is a people changing institution, which in its work process always faces uncertainty and interdependence

scholarly journals MEDICAL REHABILITATION SYSTEM AND ITS QUALITY CONTROL IN DEVELOPED COUNTRIES OF THE WORLD

2020 ◽  
Vol 73 (9) ◽  
pp. 2040-2043
Author(s):  
Viktor I. Shevchuk ◽  
Oksana B. Yavorovenko ◽  
Natalia M. Belyaeva ◽  
Iryna V. Kurylenko
Keyword(s):  
Quality Of Life ◽  
Quality Control ◽  
Scientific Literature ◽  
Developed Countries ◽  
Medical Rehabilitation ◽  
Rehabilitation Services ◽  
Rehabilitation System ◽  
The World ◽  
Similar Assessment

The aim: To review scientific literature dealing with evaluation of medical rehabilitation effectiveness and quality in the world. Materials and methods: Review and generalization of scientific literature on the criteria of evaluation of medical rehabilitation quality in advanced industrialized societies. Conclusions: Despite differences in the structure of medical rehabilitation in world societies, the end point is similar – assessment of quality of life of a sick person, measured by various criteria and standards. This experience is of great value for the development of national system of rehabilitation services.

Accuracy of the Phoenix and Viking atmospheric pressure measurements: impact on detecting the climate change on Mars

2021 ◽  
Author(s):  
Henrik Kahanpää ◽  
Jouni Polkko ◽  
Michael Daly
Keyword(s):  
Climate Change ◽  
Pressure Measurement ◽  
Atmospheric Pressure ◽  
Barometric Pressure ◽  
Pressure Measurements ◽  
Pressure Data ◽  
Phoenix Mission ◽  
The Difference ◽  
The Phoenix

&lt;p&gt;Attempts have been made to detect secular changes in the Martian climate by comparing surface atmospheric pressure measurements separated by several decades [1][2]. Such multi-mission studies require information on the exact accuracies of the corresponding pressure measurements. In this presentation, we discuss results of our recently published study on the quality of the pressure data measured by the Mars Phoenix lander [3]. In addition, we evaluate the absolute accuracy of the Viking pressure data by using (less well known) sources in the literature [4][5].&lt;/p&gt; &lt;p&gt;Our results show that at the beginning of the Phoenix mission the offset of the pressure measurement was between -4.8 Pa and +0.1 Pa. The drift of the sensor during the mission was between -0.5 Pa and +3.4 Pa. Thus, the Phoenix pressure measurement was much more accurate than was reported immediately after the mission [6]. However, the systematic error of the Viking pressure data could be up to 8.8 Pa.&lt;/p&gt; &lt;p&gt;Haberle and Kahre (2010) found the Phoenix surface pressures to be ~10 Pa higher than the Viking surface pressures after correcting for elevation differences and dynamics [1]. Although our results show the Phoenix measurement to be more accurate than assumed by Haberle and Kahre (2010), the difference they found could still be explained by the uncertainty of the Viking pressure data. On the other hand, our results show that the Phoenix pressure data can be used as an accurate comparison point for future surface pressure measurements on Mars.&lt;/p&gt; &lt;p&gt;&lt;strong&gt;References:&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;[1] Haberle and Kahre, &quot;Detecting secular climate change on Mars &quot;, &lt;em&gt;Mars&lt;/em&gt;, 5, 68&amp;#8211;75, 2010.&lt;/p&gt; &lt;p&gt;[2] Batterson et al., &quot;Secular Climate Change on Mars: An Update&quot;, &lt;em&gt;AGU Fall Meeting&lt;/em&gt;, 2017.&lt;/p&gt; &lt;p&gt;[3] Kahanp&amp;#228;&amp;#228; et al., &quot;The quality of the Mars Phoenix pressure data&quot;, &lt;em&gt;Planet. Space Sci.&lt;/em&gt;, 181, 104814, 2020.&lt;/p&gt; &lt;p&gt;[4] Seiff, &quot;The Viking atmosphere structure experiment - Techniques, instruments, and expected accuracies&quot;, &lt;em&gt;Space Sci. Instrum.&lt;/em&gt;, 2, 381&amp;#8211;423, 1976.&lt;/p&gt; &lt;p&gt;[5] Mitchell, &quot;Evaluation of Viking Lander barometric pressure sensor&quot;, &lt;em&gt;NASA&lt;/em&gt; &lt;em&gt;Technical Memorandum&lt;/em&gt;, NASA-TM-X-74020, 1977.&lt;/p&gt; &lt;p&gt;[6] Taylor et al., &quot;On pressure measurement and seasonal pressure variations during the Phoenix mission&quot;, &lt;em&gt;J. Geophys. Res.&lt;/em&gt;, 115, E00E15, 2010.&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Acknowledgments:&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;The contribution of H. Kahanp&amp;#228;&amp;#228; in this study was supported by The Finnish Cultural Foundation [grant number 00170395]. The contribution of M. Daly was supported by the Canadian Space Agency. We wish to thank Germ&amp;#225;n Mart&amp;#237;nez (USRA/LPI) for providing a copy of reference article [4].&lt;/p&gt;

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