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Wyświetlanie 1-8 z 8
Tytuł:
Comparison of the Resampling Methods for Gridded DEM Downscaling
Porównanie metod ponownego próbkowania dla skalowanego w dół zmniejszania DEM
Autorzy:
Nguyen, Quang Minh
Nguyen, Thi Thu Huong
La, Phu Hien
Duong, Thi Tuyet Nhung
Nguyen, Thi Minh Hong
Vu, Van Anh
Powiązania:
https://bibliotekanauki.pl/articles/318242.pdf
Data publikacji:
2019
Wydawca:
Polskie Towarzystwo Przeróbki Kopalin
Tematy:
próbkowanie
skalowanie
DEM
resampling
downscaling
Opis:
In this paper, a comparison and evaluation of three resampling methods for gridded DEM is implemented. The evaluation was based on the results of bilinear resampling, bi-cubic and Kriging resampling methods for an experiment using both degraded and sampled datasets at 20 m and 60 m spatial resolutions. The evaluation of the algorithms was accomplished comprehensively with visual and quantitative assessments. The visual assessment process was based on direct comparison of the same topographic features in different downscaled images, scatterplots and profiles. The quantitative assessment was based on the most commonly used parameters for DEM accuracy assessment such as root mean square errors (RMSEs), linear regression parameters m and b, and correlation coefficient R. Both visual and quantitative assessment revealed greater accuracy of the Kriging over the other two conventional methods.
Źródło:
Inżynieria Mineralna; 2019, 21, 2/2; 240-248
1640-4920
Pojawia się w:
Inżynieria Mineralna
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Assessing the impact of climate change on water resources of upper Awash River sub-basin, Ethiopia
Autorzy:
Heyi, Eshetu Ararso
Dinka, Megersa Olumana
Mamo, Girma
Powiązania:
https://bibliotekanauki.pl/articles/2073754.pdf
Data publikacji:
2022
Wydawca:
Instytut Technologiczno-Przyrodniczy
Tematy:
climate change
downscaling
emission scenarios
hydrological modelling
Opis:
This study tried to assess the impact of climate change on water resources of the upper Awash River sub-basin (Ethiopia) using a statistical downscaling model (SDSM). The future climatic parameters (rainfall, maximum and minimum temperatures) were generated by downscaling outputs of HadCM3 (Hadley Centre Coupled Model, version 3) general circulation model to watershed level for A2a (medium-high) and B2a (medium-low) emission scenarios at representative stations (Addis Ababa, Ginchi and Bishoftu). These SDSM generated climatic data were used to develop current/baseline period (1971-2010) and future climate change scenarios: 2020s (2011-2040), 2050s (2041-2070) and 2080s (2071-2099). The projected future rainfall and mean monthly potential evapotranspiration at these stations were weighted and fed to HBV hydrological model (Hydrologiska Byråns Vattenbalansavdelning model) for future stream flow simulation. These simulated future daily flow time series were processed to monthly, seasonal and annual time scales and the values were compared with that of base period for impact assessment. The simulation result revealed the possibility for significant mean flow reductions in the future during Summer or “Kiremt” (main rainy season) and apparent increase during “Belg” or winter (dry season). Autumn flow volume showed decreasing trend (2020s), but demonstrated increasing trend at 2050s and 2080s. A mean annual flow reduction (ranging from 13.0 to 29.4%) is also expected in the future for the three studied benchmark periods under both emission scenarios. Generally, the result signals that the water resources of upper Awash River basin will be expected to be severely affected by the changing climate. Therefore, different adaptation options should be carried out in order to reduce the likely impact and ensure water security in the sub-basin.
Źródło:
Journal of Water and Land Development; 2022, 52; 232--244
1429-7426
2083-4535
Pojawia się w:
Journal of Water and Land Development
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Classification by multiple regression - a new approach towards the classification of extremes
Autorzy:
Enke, W.
Spekat, A.
Kreienkamp, F.
Powiązania:
https://bibliotekanauki.pl/articles/108605.pdf
Data publikacji:
2016
Wydawca:
Instytut Meteorologii i Gospodarki Wodnej - Państwowy Instytut Badawczy
Tematy:
empirical-statistical downscaling
regression analysis
climate analysis
climate projections
meteorological extremes
Opis:
There are numerous algorithmic classification methods that attempt to address the connections between different scales of the atmosphere, such as EOFs, clustering, and neural nets. However, their relative strength lies in the description of the mean conditions, whereas extremes are poorly covered by them. A novel approach towards the identification of linkages between large-scale atmospheric fields and local extremes of meteorological parameters is presented in this paper. The principle is that a small number of objectively selected fields can be used to circumscribe a local meteorological parameter by way of regression. For each day, the regression coefficients form a kind of pattern which is used for a classification based on similarity. As it turns out, several classes are generated which contain days that constitute extreme atmospheric conditions and from which local meteorological parameters can be computed, yielding an indirect way of determining these local extremes just from large-scale information. The range of applications is large. (i) Not only local meteorological parameters can be subjected to such a regression based classification procedure. It can be extended to extreme indicators, such as threshold exceedances, yielding on the one hand the relevant atmospheric fields to describe those indicators, and on the other hand grouping days with “favourable atmospheric conditions”. This approach can be further extended by investigating networks of measurement stations from a region and describing, e.g., the probability for threshold exceedances at a given percentage of the network. (ii) The method can not only be used as a filtering tool to supply days in the current climate with extreme conditions, identified in an objective way. The method can be applied to climate model projections, using the previously found parameter-specific combinations of atmospheric fields. From those fields, as they constitute the modelled future climate, local time series can be generated which are then analysed with respect to the frequency and magnitude of future extremes. The method has sensitivities (i) due to the degree to which there are connections between large-scale fields and local meteorological parameters (measured, e.g., by the correlation) and (ii) due to the varying quality of the different fields (geopotential, temperature, humidity etc.) projected by the climate model.
Źródło:
Meteorology Hydrology and Water Management. Research and Operational Applications; 2016, 4, 1; 25-39
2299-3835
2353-5652
Pojawia się w:
Meteorology Hydrology and Water Management. Research and Operational Applications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of the Polar WRF model for Svalbard - sensitivity to planetary boundary layer, radiationand microphysics schemes
Autorzy:
Pilguj, Natalia
Czernecki, Bartosz
Kryza, Maciej
Migała, Krzysztof
Kolendowicz, Leszek
Powiązania:
https://bibliotekanauki.pl/articles/2042082.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
Arctic
dynamical downscaling
parameterizations testing
numerical modeling
model evaluation
Źródło:
Polish Polar Research; 2018, 39, 3; 349-370
0138-0338
2081-8262
Pojawia się w:
Polish Polar Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Statistical downscaling of probability density function of daily precipitation on the Polish coast
Autorzy:
Wójcik, R.
Pilarski, M.
Miętus, M.
Powiązania:
https://bibliotekanauki.pl/articles/108542.pdf
Data publikacji:
2014
Wydawca:
Instytut Meteorologii i Gospodarki Wodnej - Państwowy Instytut Badawczy
Tematy:
statistical downscaling
canonical correlation
precipitation totals
probability density function
gamma distribution
Opis:
The aim of this study was to recognize the possibility of downscaling probability density function (PDF) of daily precipitation by means of canonical correlation analysis (CCA). Sea level pressure (SLP) over Europe and the North Atlantic was used as a predictor. A skilful statistical model could be used to generate projections of future changes of precipitation PDF driven by GCM (General Circulation Model) simulations. Daily precipitation totals from 8 stations located on the Polish coast of the Baltic Sea covering the period 1961-2010 were used to estimate the gamma distribution parameters, and only wet days (i.e. ≥0.1mm) were taken in the analysis. The results of the Kolmogorov-Smirnov test and comparison of empirical and theoretical (gamma-distributed) quantiles proved that gamma distribution gives a reliable description of daily precipitation totals. The validation of CCA models applied to gamma parameters revealed that the reliable reconstruction of precipitation PDF is possible only for average long-term conditions. In the case of individual months/seasons the agreement between empirical and reconstructed quantiles is poor. This study shows the potential of modelling of precipitation PDF, however efforts should be made to improve model performance by establishing more reliable links between regional forcing and the variability of the gamma parameters.
Źródło:
Meteorology Hydrology and Water Management. Research and Operational Applications; 2014, 2, 1; 27-36
2299-3835
2353-5652
Pojawia się w:
Meteorology Hydrology and Water Management. Research and Operational Applications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The application of probability density function in modeling of wind speed on the Polish Batlic Coast
Autorzy:
Czernecki, B.
Powiązania:
https://bibliotekanauki.pl/articles/108544.pdf
Data publikacji:
2014
Wydawca:
Instytut Meteorologii i Gospodarki Wodnej - Państwowy Instytut Badawczy
Tematy:
wind speed
Weibull distribution
canonical correlation analysis
statistical downscaling
Polish Baltic Coast
Opis:
The aim of the research was to identify the potential for the use of probability density functions (PDF) in modeling of near-surface wind speed. The approaches of Empirical Orthogonal Functions (EOF) and Canonical Correlation Analysis (CCA) are used in combination with 2-parametric Weibull distribution. The downscaling model was built using a diagnosed relationship between sea level pressure (SLP) patterns over Europe and the Northern Atlantic and estimated monthly values of Weibull parameters at 9 stations along the Polish Baltic Coast. The obtained scale (A) and shape (k) parameters make it possible to describe temporal variations of wind fields and their theoretical probability values. This may have further application in the modeling of extreme wind speeds for seasonal forecasting, climate prediction or in historical reconstructions. The model evaluation was done separately for the calibration (1971-2000) and validation periods (2001-2010). The scale parameter was reconstructed reasonably, while there were some problematic issues with the shape parameter, especially in the validation period. The quality of the developed models is generally higher for the winter season, due to larger SLP gradients, whereas the results for the spring and summer seasons were less satisfactory. Despite this, the 99th percentile of theoretical wind speeds are in most cases satisfactory, due to the lesser importance of the shape parameter for typical distributions in the analyzed region.
Źródło:
Meteorology Hydrology and Water Management. Research and Operational Applications; 2014, 2, 2; 23-33
2299-3835
2353-5652
Pojawia się w:
Meteorology Hydrology and Water Management. Research and Operational Applications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Disaggregation problems using data derived from Polish air pollutant emission management system
Problemy dysagregacji z wykorzystaniem danych pochodzących z polskiego systemu zarządzania emisjami zanieczyszczeń powietrza
Autorzy:
Zasina, D.
Zawadzki, J.
Powiązania:
https://bibliotekanauki.pl/articles/112698.pdf
Data publikacji:
2014
Wydawca:
STE GROUP
Tematy:
National Emission Database
emission inventory
downscaling
disaggregation
Polska
krajowa baza
inwentaryzacja emisji
dysagregacja danych
Polska
Opis:
This paper presents analysis carried out with using data provided by the Polish system of air pollutant emissions management – the National Emission Database (NED; data from 2011), established by the National Centre for Emissions Management at the Institute of Environmental Protection – National Research Institute. The NED database was established primarily for purposes of country-level air pollutant emission management also financial matters in environmental management (environmntal taxes). The first analysis: [21] also the second [22] have shown that the data collected in the NED database can be treated as an effective, supporting device in national air pollutant emission inventory for purposes of fulfilling international obligations (i.e. UN ECE LRTAP Convention [17]). In this paper are shown selected problems with emission downscaling and disaggregation for purposes of reporting with using data on emission of nitric oxides (NOX) and sulphuric oxides (SOX) from stationary combustion sources derived from the NED database.
W niniejszej pracy przedstawiono wyniki analizy danych o rocznej emisji (dane za rok 2011) tlenków azotu (NOX) oraz siarki (SOX) zgłoszonych przez operatorów stacjonarnych instalacji spalania paliw, zlokalizowanych w województwie śląskim, w ramach sprawozdawczości krajowej prowadzonej przez Instytut Ochrony Środowiska – Państwowy Instytut Badawczy, w Krajowym Ośrodku Bilansowania i Zarządzania Emisjami. Przedstawiona analiza potwierdza użyteczność krajowego systemu zarządzania emisjami w aspekcie prowadzenia analiz związanych z dysagregacją oszacowań krajowej emisji zanieczyszczeń do powietrza.
Źródło:
Systemy Wspomagania w Inżynierii Produkcji; 2014, 1 (7); 128-137
2391-9361
Pojawia się w:
Systemy Wspomagania w Inżynierii Produkcji
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Comparison of direct and inverse methods of satellite observations downscaling for the coastal zone area
Autorzy:
Chybicki, A.
Łubniewski, Z.
Powiązania:
https://bibliotekanauki.pl/articles/331736.pdf
Data publikacji:
2016
Wydawca:
Polskie Towarzystwo Akustyczne
Tematy:
Earth observation
land surface temperature
sea surface temperature
PBIM downscaling method
surface effective emissivity
Opis:
The Earth observation satellite imaging systems have known limitations, especially regarding their spatial and temporal resolution. Therefore, approaches which aim to combine data retrieved from sensors of higher temporal and lower spatial resolution with the data characterized by lower temporal but higher spatial resolution are of high interest. This allows for joint utilization of the advantages of both these types of sensors. As there are several ways to achieve this goal, in this paper two approaches, direct and inverse, of downscaling the land surface temperature (LST) derived from low resolution imagery acquired by the Advanced Very High Resolution Radiometer (AVHRR) were evaluated. The applied downscaling methods utilize biophysical properties of the surface sensed using short wave infrared and thermal band. The presented algorithm evaluation was performed on the basis of a specific test case: the coastal zone area of the Gulf of Gdańsk, Poland. In this context, the objective presented in the study was to compare two methods of downscaling for a specific test case in order to evaluate how the proposed approaches cope with the specific conditions of the coastal zone area.
Źródło:
Hydroacoustics; 2016, 19; 55-64
1642-1817
Pojawia się w:
Hydroacoustics
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-8 z 8

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