Sentence examples for improved agreements between from inspiring English sources
In addition, a modified MB detailed mechanism is used to model flame structure, and improved agreements between the experimental and predicted results are realized.
Utilizing a nonlinear fiber recruitment model with two parameters A and B, we observed improved agreement between the simulations and the experimental results.
Accounting for the in situ identified walking variability of the test-subjects leads to a significantly improved agreement between the measured and the simulated structural response.
When the reduction of adsorbed gold species produced during the oxidation portion of the pulse is included, improved agreement between experiment and theory is obtained.
A previously modified rate coefficient for the prompt-NO initiation reaction improved agreement between predictions and measurements in the region dominated by prompt NO.
The added basis functions yield improved agreement between theory and the simulations, and good convergence is obtained towards the simulations for longer times.
A simple post-factum timing adjustment based on these estimates led to considerably improved agreement between streamflow observations and simulations, further illustrating the potential for using the XWT-based approach for timing error estimation.
Reaction pathway analysis aided further scrutiny of the fuel-specific reactions in Mech NP, leading to refinement of the kinetic model, and improved agreement between the predicted and measured ignition delay times as well as the jet-stirred reactor results.
The work herein presents modifications to the initial chemical kinetics mechanism which led to improved agreement between measurements and model-based predictions, with emphasis on the fuel-rich condition.
Improved agreement between measured and modeled data requires modification of in-storm evaporation rate in the Liu; the canopy storage in the sparse Gash model; and the throughfall coefficient in the Rutter and the NvMx models.
Our downscaling technique significantly improved agreement between the MOD17 model results and the eddy covariance measurements (modeling efficiency (ME) increased from 0.783 to 0.884, root mean square error (RMSE) decreased from 1.095 g C m−2 day−1 to 0.815 g C m−2 dalthoughlthouGPPGPP remained underestimated (bias decreased from −0.680 g C m−2 day−1 to −0.426 g C m−2 day−1).
