Rescue of Ukrainian early historical climatological data

2020 ◽  
Author(s):  
Dmytro Boichuk ◽  
Jürg Luterbacher ◽  
Rob Allan ◽  
Olesya Skrynyk ◽  
Vladyslav Sidenko ◽  
...  
Keyword(s):  
Quality Control ◽  
Extreme Events ◽  
Meteorological Data ◽  
Hard Copy ◽  
Climate Services ◽  
Present Information ◽  
Control Procedures ◽  
Temperature Records ◽  
Meteorological Observations ◽  
The 19Th Century

<p>Modern climate applications and climate services are seeing the need for more data and information (including its historical part) on climate variability at high temporal and spatial resolution. Therefore, daily or even sub-daily meteorological data are required increasingly to feel this gap and provide the basis for climate research, extreme events analysis and impact studies.</p><p>The main objective of our work is to present information on results of data rescue (DARE) activity conducted recently in the Ukrainian Hydrometeorological Institute (UHMI, Kyiv, Ukraine) in close collaboration with several national and international partners. Our DARE activity was concentrated mainly on the original sub-daily, pre-1850 meteorological observations conducted at eight meteorological stations located in the territory of modern Ukraine, namely Kyiv, Kharkiv, Poltava, Kamyanets-Podilsky, Lugansk, Dnipro, Kherson and Odesa. These eight stations are the only ones, whose pre-1850 data have been found in an archive of the Central Geophysical Observatory (CGO), an observation institution of the Ukrainian Weather Service.</p><p>The data are contained in 38 special hard copy books. Before digitization, the book pages were photocopied to create a database of the images of all the paper sources. Its two copy versions are now stored at the UHMI and CGO, respectively. After the creation of the images database, the data were digitized manually by the authors. In total 291 103 values were digitized. These include 165 980 air temperature records (~57% of the total), 124 376 atmospheric pressure measurements (~42.7%) and 747 precipitation totals (~0.3%).</p><p>Quality control of the digitized data was conducted, including intercomparisons between the stations as well as comparisons with monthly temperature data that were digitized previously from other sources. The quality control procedures revealed a fairly good agreement among the rescued time series on the monthly time scale as well as a good accordance with the monthly data from other sources. However, several periods at some stations should be used with caution, due to relatively large discrepancies revealed. The rescued digital dataset can be used for different meteorological and climatological purposes, including the analysis of extreme events for the pre-1850 period in comparison with today’s climate, regional climatological studies, etc. The dataset is an important supplement to existing digitized archives of meteorological measurements that were performed in the first half of the 19th century.</p>

scholarly journals Climate indicators for Italy: calculation and dissemination

2011 ◽  
Vol 6 (1) ◽  
pp. 147-150 ◽  
Author(s):  
F. Desiato ◽  
G. Fioravanti ◽  
P. Fraschetti ◽  
W. Perconti ◽  
A. Toreti
Keyword(s):  
Quality Control ◽  
Meteorological Data ◽  
Climate Trends ◽  
Regional Institutions ◽  
Climate Indicators ◽  
Database Structure ◽  
Wide Range ◽  
Rapid Dissemination ◽  
Control Procedures ◽  
Climate Studies

Abstract. In Italy, meteorological data necessary and useful for climate studies are collected, processed and archived by a wide range of national and regional institutions. As a result, the density of the stations, the length and frequency of the observations, the quality control procedures and the database structure vary from one dataset to another. In order to maximize the use of those data for climate knowledge and climate change assessments, a computerized system for the collection, quality control, calculation, regular update and rapid dissemination of climate indicators was developed. The products publicly available through a dedicated web site are described, as well as an example of climate trends estimates over Italy, based on the application of statistical models on climate indicators from quality-checked and homogenised time series.

scholarly journals Toward an Integrated Set of Surface Meteorological Observations for Climate Science and Applications

2017 ◽  
Vol 98 (12) ◽  
pp. 2689-2702 ◽  
Author(s):  
P. W. Thorne ◽  
R. J. Allan ◽  
L. Ashcroft ◽  
P. Brohan ◽  
R. J. H Dunn ◽  
...  
Keyword(s):  
Time Scales ◽  
Meteorological Data ◽  
Climate Science ◽  
Climate Services ◽  
Meteorological Observations ◽  
High Level ◽  
Stakeholder Needs ◽  
Community Input ◽  
Research Analysis

Abstract Observations are the foundation for understanding the climate system. Yet, currently available land meteorological data are highly fractured into various global, regional, and national holdings for different variables and time scales, from a variety of sources, and in a mixture of formats. Added to this, many data are still inaccessible for analysis and usage. To meet modern scientific and societal demands as well as emerging needs such as the provision of climate services, it is essential that we improve the management and curation of available land-based meteorological holdings. We need a comprehensive global set of data holdings, of known provenance, that is truly integrated both across essential climate variables (ECVs) and across time scales to meet the broad range of stakeholder needs. These holdings must be easily discoverable, made available in accessible formats, and backed up by multitiered user support. The present paper provides a high-level overview, based upon broad community input, of the steps that are required to bring about this integration. The significant challenge is to find a sustained means to realize this vision. This requires a long-term international program. The database that results will transform our collective ability to provide societally relevant research, analysis, and predictions in many weather- and climate-related application areas across much of the globe.

scholarly journals Data validation procedures in agricultural meteorology – a prerequisite for their use

2011 ◽  
Vol 6 (1) ◽  
pp. 141-146 ◽  
Author(s):  
J. Estévez ◽  
P. Gavilán ◽  
A. P. García-Marín
Keyword(s):  
Quality Control ◽  
Crop Production ◽  
Dynamic Range ◽  
Reference Evapotranspiration ◽  
Meteorological Data ◽  
Irrigated Agriculture ◽  
Data Validation ◽  
Control Procedures ◽  
Weather Stations ◽  
Accurate Quantification

Abstract. Quality meteorological data sources are critical to scientists, engineers, climate assessments and to make climate related decisions. Accurate quantification of reference evapotranspiration (ET0) in irrigated agriculture is crucial for optimizing crop production, planning and managing irrigation, and for using water resources efficiently. Validation of data insures that the information needed is been properly generated, identifies incorrect values and detects problems that require immediate maintenance attention. The Agroclimatic Information Network of Andalusia at present provides daily estimations of ET0 using meteorological information collected by nearly of one hundred automatic weather stations. It is currently used for technicians and farmers to generate irrigation schedules. Data validation is essential in this context and then, diverse quality control procedures have been applied for each station. Daily average of several meteorological variables were analysed (air temperature, relative humidity and rainfall). The main objective of this study was to develop a quality control system for daily meteorological data which could be applied on any platform and using open source code. Each procedure will either accept the datum as being true or reject the datum and label it as an outlier. The number of outliers for each variable is related to a dynamic range used on each test. Finally, geographical distribution of the outliers was analysed. The study underscores the fact that it is necessary to use different ranges for each station, variable and test to keep the rate of error uniform across the region.

scholarly journals Evidence on a link between the intensity of Schumann resonance and global surface temperature

2006 ◽  
Vol 24 (7) ◽  
pp. 1809-1817 ◽  
Author(s):  
M. Sekiguchi ◽  
M. Hayakawa ◽  
A. P. Nickolaenko ◽  
Y. Hobara
Keyword(s):  
Surface Temperature ◽  
Meteorological Data ◽  
Principal Component ◽  
Middle Latitude ◽  
Electromagnetic Signal ◽  
Schumann Resonance ◽  
Temperature Records ◽  
Meteorological Observations ◽  
Global Surface

Abstract. A correlation is investigated between the intensity of the global electromagnetic oscillations (Schumann resonance) with the planetary surface temperature. The electromagnetic signal was monitored at Moshiri (Japan), and temperature data were taken from surface meteorological observations. The series covers the period from November 1998 to May 2002. The Schumann resonance intensity is found to vary coherently with the global ground temperature in the latitude interval from 45° S to 45° N: the relevant cross-correlation coefficient reaches the value of 0.9. It slightly increases when the high-latitude temperature is incorporated. Correspondence among the data decreases when we reduce the latitude interval, which indicates the important role of the middle-latitude lightning in the Schumann resonance oscillations. We apply the principal component (or singular spectral) analysis to the electromagnetic and temperature records to extract annual, semiannual, and interannual variations. The principal component analysis (PCA) clarifies the links between electromagnetic records and meteorological data.

scholarly journals Rescue and quality control of sub-daily meteorological data collected at Montevergine Observatory (Southern Apennines), 1884–1963

2020 ◽  
Vol 12 (2) ◽  
pp. 1467-1487
Author(s):  
Vincenzo Capozzi ◽  
Yuri Cotroneo ◽  
Pasquale Castagno ◽  
Carmela De Vivo ◽  
Giorgio Budillon
Keyword(s):  
Quality Control ◽  
Atmospheric Pressure ◽  
Meteorological Data ◽  
Tolerance Test ◽  
Rate Of Change ◽  
Distribution Model ◽  
Water Vapour Pressure ◽  
Southern Apennines ◽  
Meteorological Observations ◽  
Standard Practices

Abstract. Here we present the rescue of sub-daily meteorological observations collected from 1884 to 1963 at Montevergine Observatory, located in the Southern Apennines in Italy. The recovered dataset consists of 3-daily observations of the following atmospheric variables: dry-bulb temperature, wet-bulb temperature, water vapour pressure, relative humidity, atmospheric pressure, cloud type, cloud cover, rainfall, snowfall and precipitation type. The data, originally available only as paper-based records, have been digitized following the World Meteorological Organization standard practices. After a cross-check, the digitized data went through three different automatic quality control tests: the gross error test, which verifies whether the data are within acceptable range limits; the tolerance test, which flags whether values are above or below monthly climatological limits that are defined in accordance with a probability distribution model specific to each variable; and the temporal coherency test, which checks the rate of change and flags unrealistic jumps in consecutive values. The result of this process is the publication of a new historical dataset that includes, for the first time, digitized and quality-controlled sub-daily meteorological observations collected since the late 19th century in the Mediterranean region north of the 37th parallel. These data are critical to enhancing and complementing previously rescued sub-daily historical datasets – which are currently limited to atmospheric pressure observations only – in the central and northern Mediterranean regions. Furthermore, the Montevergine Observatory (MVOBS) dataset can enrich the understanding of high-altitude weather and climate variability, and it contributes to the improvement of the accuracy of reanalysis products prior the 1950s. Data are available on the NOAA's National Centers for Environmental Information (NCEI) public repository and are associated with a DOI: https://doi.org/10.25921/cx3g-rj98 (Capozzi et al., 2019).

scholarly journals Rescue and quality control of sub-daily meteorological data collected at Montevergine Observatory (Southern Apennines), 1884–1963

2020 ◽  
Author(s):  
Vincenzo Capozzi ◽  
Yuri Cotroneo ◽  
Pasquale Castagno ◽  
Carmela De Vivo ◽  
Giorgio Budillon
Keyword(s):  
Quality Control ◽  
Atmospheric Pressure ◽  
Meteorological Data ◽  
Tolerance Test ◽  
Rate Of Change ◽  
Distribution Model ◽  
Water Vapour Pressure ◽  
Southern Apennines ◽  
Meteorological Observations ◽  
Standard Practices

Abstract. Here we present the rescue of sub-daily meteorological observations collected from 1884 to 1963 at Montevergine Observatory, located on the Italian Southern Apennines. The recovered dataset consists of three daily observations of the following atmospheric variables: dry bulb temperature, wet bulb temperature, water vapour pressure, relative humidity, atmospheric pressure, cloud type, cloud cover, rainfall, snowfall and precipitation type. The data, originally available only as paper-based records, have been digitized following the World Meteorological Organization standard practices. After a cross-check, the digitized data went through three different automatic quality control tests: the gross error test which verifies if the data are within acceptable range limits; the tolerance test that flags if values are above or below monthly climatological limits which are defined in accordance with a probability distribution model specific for each variable; and the temporal coherency test that checks the rate of change flagging unrealistic jumps in consecutive values. The result of this process is the publication of a new historical dataset that includes, for the first time, digitized and quality-controlled sub-daily meteorological observations collected since the late 19th century in the Mediterranean region north of the 37th parallel. These data are critical to enhance and complement previously rescued sub-daily historical datasets in central and northern Mediterranean regions, currently limited to the atmospheric pressure observations only. Furthermore, MVOBS dataset can enrich the understanding of high altitude weather and climate variability and contributes to improve the accuracy of reanalysis products prior the 1950s. Data are available on the NOAA’s National Centers for Environmental Information (NCEI) public repository and are associated to a DOI (https://doi.org/10.25921/cx3g-rj98) (Capozzi et al., 2019).

scholarly journals A rescued dataset of sub-daily meteorological observations for Europe and the southern Mediterranean region, 1877–2012

2018 ◽  
Vol 10 (3) ◽  
pp. 1613-1635 ◽  
Author(s):  
Linden Ashcroft ◽  
Joan Ramon Coll ◽  
Alba Gilabert ◽  
Peter Domonkos ◽  
Manola Brunet ◽  
...  
Keyword(s):  
Quality Control ◽  
Mediterranean Region ◽  
Climate Variables ◽  
Daily Data ◽  
Weather Observations ◽  
Weather And Climate ◽  
Future Data ◽  
Southern Mediterranean ◽  
Control Procedures ◽  
Meteorological Observations

Abstract. Sub-daily meteorological observations are needed for input to and assessment of high-resolution reanalysis products to improve understanding of weather and climate variability. While there are millions of such weather observations that have been collected by various organisations, many are yet to be transcribed into a useable format.Under the auspices of the Uncertainties in Ensembles of Regional ReAnalyses (UERRA) project, we describe the compilation and development of a digital dataset of 8.8 million meteorological observations of essential climate variables (ECVs) rescued across the European and southern Mediterranean region. By presenting the entire chain of data preparation, from the identification of regions lacking in digitised sub-daily data and the location of original sources, through the digitisation of the observations to the quality control procedures applied, we provide a rescued dataset that is as traceable as possible for use by the research community.Data from 127 stations and of 15 climate variables in the northern African and European sectors have been prepared for the period 1877 to 2012. Quality control of the data using a two-step semi-automatic statistical approach identified 3.5 % of observations that required correction or removal, on par with previous data rescue efforts.In addition to providing a new sub-daily meteorological dataset for the research community, our experience in the development of this sub-daily dataset gives us an opportunity to share some suggestions for future data rescue projects.All versions of the dataset, from the raw digitised data to data that have been quality controlled and converted to standard units, are available on PANGAEA: https://doi.org/10.1594/PANGAEA.886511 (Ashcroft et al., 2018).

scholarly journals New software package for archival of synoptic And upper air meteorological data

MAUSAM ◽  
2022 ◽  
Vol 44 (2) ◽  
pp. 135-142
Author(s):  
DHANNA SINGH ◽  
SUMAN GOYAL
Keyword(s):  
Quality Control ◽  
Software Package ◽  
Meteorological Data ◽  
Hard Copy ◽  
Tabular Form ◽  
Monthly Data ◽  
Cpu Time ◽  
Data Files ◽  
Global Data ◽  
Fortran 77

The functions of a software package of 6 programmes developed for retrieving, decoding quality control and formatting of surface and upper air coded data have been presented here in brief. Intelligent use has been made of Fortran- 77 fact1ltles to make these programmes extremely efficient. Global data for surface and upper air received on GTS for an entire day is sorted, decoded & formatted after quality control in about three and a half minutes (CPU time) on VAX 8810 system.   The programmes do the management of files and can also be used for decoding the monthly data files of hard copy data. For coding of data, FGGE code has been used with very minor modifications. The results of quality control checks and number of reports received hour wise for each synoptic hour for each WMO block are monitored. Information from both is displayed on the terminal in tabular form and also recorded in disk for monthly archival.

Studies and Application of Auger Monitoring System for Quality Control and Assurance of Al Bondpads

2016 ◽  
Author(s):  
Hua Younan
Keyword(s):  
Quality Control ◽  
Sample Preparation ◽  
Monitoring System ◽  
Failure Mechanisms ◽  
Wafer Fabrication ◽  
Contamination Level ◽  
Auger Analysis ◽  
Low Level ◽  
Monitoring Frequency ◽  
Control Procedures

Abstract In wafer fabrication (Fab), Fluorine (F) based gases are used for Al bondpad opening process. Thus, even on a regular Al bondpad, there exists a low level of F contamination. However, the F level has to be controlled at a lower level. If the F level is higher than the control/spec limits, it could cause F-induced corrosion and Al-F defects, resulting in pad discoloration and NSOP problems. In our previous studies [1-5], the theories, characteristics, chemical and physical failure mechanisms and the root causes of the F-induced corrosion and Al-F defects on Al bondpads have been studied. In this paper, we further study F-induced corrosion and propose to establish an Auger monitoring system so as to monitor the F contamination level on Al bondpads in wafer fabrication. Auger monitoring frequency, sample preparation, wafer life, Auger analysis points, control/spec limits and OOC/OOS quality control procedures are also discussed.

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