scholarly journals A Database of 10 min Average Measurements of Solar Radiation and Meteorological Variables in Ostrava, Czech Republic

2018 ◽  
Author(s):  
Marie Opálková ◽  
Martin Navrátil ◽  
Vladimír Špunda ◽  
Philippe Blanc ◽  
Lucien Wald
Keyword(s):  
Czech Republic ◽  
Meteorological Variables ◽  
Photon Flux ◽  
High Temporal Resolution ◽  
Time Step ◽  
Spectral Bands ◽  
Relative Air Humidity ◽  
Reliable Source ◽  
Data Files ◽  
The City

Abstract. A database containing 10 min means of downward surface solar irradiance measured on a horizontal plane in several ultraviolet and visible bands from July 2014 to December 2016 at three stations in the area of the city of Ostrava (Czech Republic) is presented. The database contains time series of 10 min average irradiances or photosynthetic photon flux densities measured in the following spectral bands: [280, 315] nm (UVB); [315, 380]  nm (UVA); [400, 700] nm (photosynthetically active radiation, PAR); [510, 700] nm; [600, 700] nm; [610, 680] nm; [690, 780] nm; [400, 1100] nm. A series of meteorological variables including relative air humidity and air temperature at surface is also provided at the same 10 min time step at all three stations, and in addition air pressure, wind speed and wind direction at two stations. These two stations offer additional data: PM10, SO2, NOx, NO, NO2 concentrations. The details of the experimental sites and instruments used for the measurements are given. Special attention is given to the data quality, and the process applied to label suspicious or erroneous measurements is described in detail. About 130 000 records for all three stations are available in the database. This database offers a unique ensemble of variables having a high temporal resolution and it is a reliable source on radiation in relation with environment and vegetation in highly polluted areas of industrial cities in the middle of Europe. The database has been placed on the PANGAEA repository (https://doi.pangaea.de/10.1594/PANGAEA.879722) and contains individual data files of the three stations.

scholarly journals A database of 10 min average measurements of solar radiation and meteorological variables in Ostrava, Czech Republic

2018 ◽  
Vol 10 (2) ◽  
pp. 837-846 ◽  
Author(s):  
Marie Opálková ◽  
Martin Navrátil ◽  
Vladimír Špunda ◽  
Philippe Blanc ◽  
Lucien Wald
Keyword(s):  
Czech Republic ◽  
Data Quality ◽  
Meteorological Variables ◽  
Photon Flux ◽  
High Temporal Resolution ◽  
Time Step ◽  
Spectral Bands ◽  
Relative Air Humidity ◽  
Reliable Source ◽  
Data Files

Abstract. A database containing 10 min means of solar irradiance measured on a horizontal plane in several ultraviolet and visible bands from July 2014 to December 2016 at three stations in the area of the city of Ostrava (Czech Republic) is presented. The database contains time series of 10 min average irradiances or photosynthetic photon flux densities measured in the following spectral bands: 280–315 nm (UVB); 315–380 nm (UVA); and 400–700 nm (photosynthetically active radiation, PAR); 510–700 nm; 600–700 nm; 610–680 nm; 690–780 nm; 400–1100 nm. A series of meteorological variables including relative air humidity and air temperature at surface is also provided at the same 10 min time step at all three stations, and precipitation is provided for two stations. Air pressure, wind speed, wind direction, and concentrations of air pollutants PM10, SO2, NOx, NO, NO2 were measured at the 1 h time step at the fourth station owned by the Public Health Institute of Ostrava. The details of the experimental sites and instruments used for the measurements are given. Special attention is given to the data quality, and the original approach to the data quality which was established is described in detail. About 130 000 records for each of the three stations are available in the database. This database offers a unique ensemble of variables having a high temporal resolution and it is a reliable source for radiation in relation to environment and vegetation in highly polluted areas of industrial cities in the of northern mid-latitudes. The database has been placed on the PANGAEA repository (https://doi.org/10.1594/PANGAEA.879722) and contains individual data files for each station.

scholarly journals A database of multi-year (2004–2010) quality-assured surface solar hourly irradiation measurements for the Egyptian territory

2015 ◽  
Vol 8 (2) ◽  
pp. 737-758 ◽  
Author(s):  
M. Korany ◽  
M. Boraiy ◽  
Y. Eissa ◽  
Y. Aoun ◽  
M. M. Abdel Wahab ◽  
...  
Keyword(s):  
Quality Control ◽  
High Frequency ◽  
High Temporal Resolution ◽  
Atmospheric Processes ◽  
Reliable Source ◽  
Data Files ◽  
Atmospheric Radiative Transfer ◽  
The Individual ◽  
The Impact

Abstract. A database containing the global and diffuse components of the surface solar hourly irradiation measured from 1 January 2004 to 31 December 2010 at eight stations of the Egyptian Meteorological Authority is presented. For three of these sites (Cairo, Aswan, and El-Farafra), the direct component is also available. In addition, a series of meteorological variables including surface pressure, relative humidity, temperature, wind speed and direction... is provided at the same hourly resolution at all stations. The details of the experimental sites and instruments used for the acquisition are given. Special attention is paid to the quality of the data and the procedure applied to flag suspicious or erroneous measurements is described in details. Between 88 and 99 % of the daytime measurements are validated by this quality control. Except at Barrani where the number is lower (13 500), between 20 000 and 29 000 measurements of global and diffuse hourly irradiation are available at all sites for the 7-year period. Similarly, from 9000 to 13 000 measurements of direct hourly irradiation values are provided for the three sites where this component is measured. With its high temporal resolution this consistent irradiation and meteorological database constitutes a reliable source to estimate the potential of solar energy in Egypt. It is also adapted to the study of high-frequency atmospheric processes such as the impact of aerosols on atmospheric radiative transfer. In the next future, it is planned to complete regularly the present 2004–2010 database, which has been placed on the PANGAEA repository (doi:10.1594/PANGAEA.848804) and contains the individual meteorological and irradiation data files of the 8 stations.

scholarly journals Urban Mobility Demand Profiles: Time Series for Cars and Bike-Sharing Use as a Resource for Transport and Energy Modeling

Data ◽  
2019 ◽  
Vol 4 (3) ◽  
pp. 108 ◽  
Author(s):  
Noussan ◽  
Carioni ◽  
Sanvito ◽  
Colombo
Keyword(s):  
Time Series ◽  
Traffic Monitoring ◽  
Transport Sector ◽  
High Temporal Resolution ◽  
Urban Mobility ◽  
Time Step ◽  
Transport Models ◽  
Bike Sharing ◽  
Urban Contexts ◽  
The City

The transport sector is currently facing a significant transition, with strong drivers includingdecarbonization and digitalization trends, especially in urban passenger transport. The availability ofmonitoring data is at the basis of the development of optimization models supporting an enhancedurban mobility, with multiple benefits including lower pollutants and CO2 emissions, lower energyconsumption, better transport management and land space use. This paper presents two datasetsthat represent time series with a high temporal resolution (five-minute time step) both for vehiclesand bike sharing use in the city of Turin, located in Northern Italy. These high-resolution profileshave been obtained by the collection and elaboration of available online resources providing liveinformation on traffic monitoring and bike sharing docking stations. The data are provided for theentire year 2018, and they represent an interesting basis for the evaluation of seasonal and dailyvariability patterns in urban mobility. These data may be used for different applications, rangingfrom the chronological distribution of mobility demand, to the estimation of passenger transportflows for the development of transport models in urban contexts. Moreover, traffic profiles are at thebasis for the modeling of electric vehicles charging strategies and their interaction with the powergrid.

scholarly journals A database of multi-year (2004–2010) quality-assured surface solar hourly irradiation measurements for the Egyptian territory

2016 ◽  
Vol 8 (1) ◽  
pp. 105-113 ◽  
Author(s):  
Mohamed Korany ◽  
Mohamed Boraiy ◽  
Yehia Eissa ◽  
Youva Aoun ◽  
Magdy M. Abdel Wahab ◽  
...  
Keyword(s):  
Quality Control ◽  
High Frequency ◽  
High Temporal Resolution ◽  
Atmospheric Processes ◽  
Reliable Source ◽  
Data Files ◽  
Atmospheric Radiative Transfer ◽  
The Individual ◽  
The Impact

Abstract. A database containing the global and diffuse components of the surface solar hourly irradiation measured from 1 January 2004 to 31 December 2010 at eight stations of the Egyptian Meteorological Authority is presented. For three of these sites (Cairo, Aswan and El-Farafra), the direct component is also available. In addition, a series of meteorological variables including surface pressure, relative humidity, temperature, wind speed and direction is provided at the same hourly resolution at all stations. The details of the experimental sites and instruments used for the acquisition are given. Special attention is paid to the quality of the data and the procedure applied to flag suspicious or erroneous measurements is described in detail. Between 88 and 99  % of the daytime measurements are validated by this quality control. Except at Barrani where the number is lower (13 500), between 20 000 and 29 000 measurements of global and diffuse hourly irradiation are available at all sites for the 7-year period. Similarly, from 9000 to 13 000 measurements of direct hourly irradiation values are provided for the three sites where this component is measured. With its high temporal resolution this consistent irradiation and meteorological database constitutes a reliable source to estimate the potential of solar energy in Egypt. It is also adapted to the study of high-frequency atmospheric processes such as the impact of aerosols on atmospheric radiative transfer. It is planned to update regularly the current 2004–2010 database, which has been placed on the PANGAEA repository (doi:10.1594/PANGAEA.848804) and contains the individual meteorological and irradiation data files of the eight stations.

scholarly journals Deep Learning Forecasts of Soil Moisture: Convolutional Neural Network and Gated Recurrent Unit Models Coupled with Satellite-Derived MODIS, Observations and Synoptic-Scale Climate Index Data

2021 ◽  
Vol 13 (4) ◽  
pp. 554
Author(s):  
A. A. Masrur Ahmed ◽  
Ravinesh C Deo ◽  
Nawin Raj ◽  
Afshin Ghahramani ◽  
Qi Feng ◽  
...  
Keyword(s):  
Neural Network ◽  
Soil Moisture ◽  
Deep Learning ◽  
Convolutional Neural Network ◽  
Climate Index ◽  
Climate Indices ◽  
High Temporal Resolution ◽  
Synoptic Scale ◽  
Time Step ◽  
Gated Recurrent Unit

Remotely sensed soil moisture forecasting through satellite-based sensors to estimate the future state of the underlying soils plays a critical role in planning and managing water resources and sustainable agricultural practices. In this paper, Deep Learning (DL) hybrid models (i.e., CEEMDAN-CNN-GRU) are designed for daily time-step surface soil moisture (SSM) forecasts, employing the gated recurrent unit (GRU), complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN), and convolutional neural network (CNN). To establish the objective model’s viability for SSM forecasting at multi-step daily horizons, the hybrid CEEMDAN-CNN-GRU model is tested at 1st, 5th, 7th, 14th, 21st, and 30th day ahead period by assimilating a comprehensive pool of 52 predictor dataset obtained from three distinct data sources. Data comprise satellite-derived Global Land Data Assimilation System (GLDAS) repository a global, high-temporal resolution, unique terrestrial modelling system, and ground-based variables from Scientific Information Landowners (SILO) and synoptic-scale climate indices. The results demonstrate the forecasting capability of the hybrid CEEMDAN-CNN-GRU model with respect to the counterpart comparative models. This is supported by a relatively lower value of the mean absolute percentage and root mean square error. In terms of the statistical score metrics and infographics employed to test the final model’s utility, the proposed CEEMDAN-CNN-GRU models are considerably superior compared to a standalone and other hybrid method tested on independent SSM data developed through feature selection approaches. Thus, the proposed approach can be successfully implemented in hydrology and agriculture management.

scholarly journals Primary care and the early phases of schizophrenia in the Czech Republic

2010 ◽  
Vol 19 (3) ◽  
pp. 243-250
Author(s):  
David Holub ◽  
Barbora Wenigová ◽  
Daniel Umbricht ◽  
Andor E. Simon
Keyword(s):  
Primary Care ◽  
Czech Republic ◽  
Warning Signs ◽  
Outpatient Services ◽  
The Czech Republic ◽  
Mental Health Reforms ◽  
Low Threshold ◽  
The City ◽  
Early Phases

SUMMARYAim– To explore knowledge, treatment setting, attitudes and needs associated with patients in early phases of psychosis among general practitioners (GPs) in Prague, andto compare results with GPs from 6 countries participating in theInternational GP Study(IGPS)on Early Psychosis(Canada, Australia, New Zealand, England, Norway,Austria).Methods– Survey questionnaires were mailed to 648 GPs in the city of Prague.Results– The response rate was 19.9%. Prague GPs showed significantly lower diagnostic knowledge of early phases of psychosis compared to their international colleagues. They frequently indicated depression/anxiety and somatic complaints as early warnings of psychosis. They more often considered their behaviour to be problematic and more commonly handed them over to specialists. The majority of Prague GPs wished specialized outpatient services for low-threshold referrals of such patients.Conclusions– Along the mental health reforms in the Czech Republic which emphasis the role of primary care, GPs' knowledge of the early warning signs of psychosis needs to be improved.Declaration of Interest:The study was supported by an unrestricted grant from Sanofi-Synthélabo SA, Switzerland, to the principal investigators of the IGPS (AES, DU). The authors have stated that there are none; all authors are independent from the funding body and the views expressed in this paper have not been influenced by the funding source.

scholarly journals Contribution of potential evaporation forecasts to 10-day streamflow forecast skill for the Rhine River

2019 ◽  
Vol 23 (3) ◽  
pp. 1453-1467 ◽  
Author(s):  
Bart van Osnabrugge ◽  
Remko Uijlenhoet ◽  
Albrecht Weerts
Keyword(s):  
Radiative Forcing ◽  
Potential Evapotranspiration ◽  
Global Radiation ◽  
Forecast Skill ◽  
Meteorological Variables ◽  
Potential Evaporation ◽  
Streamflow Forecasting ◽  
Time Step ◽  
Streamflow Forecast ◽  
Rhine Basin

Abstract. Medium-term hydrologic forecast uncertainty is strongly dependent on the forecast quality of meteorological variables. Of these variables, the influence of precipitation has been studied most widely, while temperature, radiative forcing and their derived product potential evapotranspiration (PET) have received little attention from the perspective of hydrological forecasting. This study aims to fill this gap by assessing the usability of potential evaporation forecasts for 10-day-ahead streamflow forecasting in the Rhine basin, Europe. In addition, the forecasts of the meteorological variables are compared with observations. Streamflow reforecasts were performed with the daily wflow_hbv model used in previous studies of the Rhine using the ECMWF 20-year meteorological reforecast dataset. Meteorological forecasts were compared with observed rainfall, temperature, global radiation and potential evaporation for 148 subbasins. Secondly, the effect of using PET climatology versus using observation-based estimates of PET was assessed for hydrological state and for streamflow forecast skill. We find that (1) there is considerable skill in the ECMWF reforecasts to predict PET for all seasons, and (2) using dynamical PET forcing based on observed temperature and satellite global radiation estimates results in lower evaporation and wetter initial states, but (3) the effect on forecasted 10-day streamflow is limited. Implications of this finding are that it is reasonable to use meteorological forecasts to forecast potential evaporation and use this is in medium-range streamflow forecasts. However, it can be concluded that an approach using PET climatology is also sufficient, most probably not only for the application shown here, but also for most models similar to the HBV concept and for moderate climate zones. As a by-product, this research resulted in gridded datasets for temperature, radiation and potential evaporation based on the Makkink equation for the Rhine basin. The datasets have a spatial resolution of 1.2×1.2 km and an hourly time step for the period from July 1996 through 2015. This dataset complements an earlier precipitation dataset for the same area, period and resolution.

scholarly journals IMPROVING CLASSIFICATION OF MULTISPECTRAL IMAGES BASED ON SELECTED RELATIONS

2020 ◽  
Vol XLIII-B3-2020 ◽  
pp. 377-381
Author(s):  
L. Cohen ◽  
O. Almog ◽  
M. Shoshany
Keyword(s):  
Land Cover ◽  
Spectral Band ◽  
Research Area ◽  
Support Vector ◽  
Land Cover Types ◽  
Spectral Bands ◽  
Definition Of ◽  
Spectral Representations ◽  
The City

Abstract. A novel classification technique based on definition of unique spectral relations (such as slopes among spectral bands) for all land cover types named (SSF Significant Spectral Features) is presented in the article.A large slopes combination between spectral band pairs is calculated and spectral characterizations that emphasizes the best spectral land cover separation is sought. Increasing in dimensionality of spectral representations is balanced by the simplicity of calculations. The technique has been examined on data acquired by a flown hyperspectral scanner (AISA). The spectral data was narrowed into the equivalent 8 world-view2 channels. The research area was in the city of “Hadera”, Israel, which included 10 land cover types in an urban area, open area and road infrastructure. The comparison between the developed SSF technique and common techniques such as: SVM (Support Vector Machine) and ML (Maximum Likelihood) has shown a clear advantage over ML technique, while produced similar results as SVM. The poorest results of using SSF technique was achieved in an herbaceous area (70%). However, the simplicity of the method, the well-defined parameters it produces for interpreting the results, makes it intuitive over using techniques such as SVM, which is considered as a not explicit classifier.

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