This study presents an approach for generating a global land mapping dataset of the satellite measurements of CO_(2)total column(XCO_(2))using spatio-temporal geostatistics,which makes full use of the joint spatial an...
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This study presents an approach for generating a global land mapping dataset of the satellite measurements of CO_(2)total column(XCO_(2))using spatio-temporal geostatistics,which makes full use of the joint spatial and temporal dependencies between *** mapping approach considers the latitude-zonal seasonal cycles and spatio-temporal correlation structure of XCO_(2),and obtains global land maps of XCO_(2),with a spatial grid resolution of 1°latitude by 1°longitude and temporal resolution of 3 *** evaluate the accuracy and uncertainty of the mapping dataset in the following three ways:(1)in cross-validation,the mapping approach results in a high correlation coefficient of 0.94 between the predictions and observations,(2)in comparison with ground truth provided by the Total Carbon Column Observing Network(TCCON),the predicted XCO_(2)time series and those from TCCON sites are in good agreement,with an overall bias of 0.01 ppm and a standard deviation of the difference of 1.22 ppm and(3)in comparison with model simulations,the spatio-temporal variability of XCO_(2)between the mapping dataset and simulations from the CT2013 and GEOS-Chem are generally *** generated mapping XCO_(2)data in this study provides a new global geospatial dataset in global understanding of greenhouse gases dynamics and global warming.
Diabetes is a burning issue in the whole *** is the imbalance between body glucose and *** study of this imbalance is very much needed from a research point of *** this reason,Bergman gave an important model named-Ber...
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Diabetes is a burning issue in the whole *** is the imbalance between body glucose and *** study of this imbalance is very much needed from a research point of *** this reason,Bergman gave an important model named-Bergman *** the present work,using Caputo-Fabrizio(CF)fractional derivative,we generalize Bergman’s minimal blood glucose-insulin ***,we modify the old model by including one more component known as diet D(t),which is also essential for the blood glucose *** solve the modified modelwith the help of Sumudu transformand fixed-point iteration ***,using the fixed point theorem,we examine the existence and uniqueness of the results along with their numerical and graphical ***,the comparison between the values of parameters obtained by calculating different values of t with experimental data is also ***,we draw the graphs of G(t),X(t),I(t),andD(t)for different values ofτ.It is also clear from the obtained results and their graphical representation that the obtained results of modified Bergman’s minimal model are better than Bergman’s model.
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