Sentence examples for depth weighted from inspiring English sources

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EMI measures the apparent electrical conductivity of the subsurface (ECapp) which represents a depth weighted average value of the bulk soil electrical conductivity (ECb).

Compared to national peat maps, the average peat depths used by Page et al. [2] and Jaenicke et al. [13] seem overestimated, as the average depth weighted to the upper bounds of each depth interval is about 3.1 m according to WI maps.

Figure 13 Scatter diagrams of the depth weighted mean steering flows.

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The impact of ocean coupling on the depth-weighted steering flow was not negligible for T1109 because the magnitude of the zonal depth-weighted steering flow was less than 2 m s−1 (Figure 13b).

Figure 13a shows the depth-weighted steering flows for T1106, T1109, T1215, T1221L, and T1221H simulated using the coupled model.

The magnitude of the zonal depth-weighted steering flow for T1109 was quite different from that for T1215.

The measured depth-weighted EC of the saturated paste extract (ECe) across the sampling positions ranged from 0.43 to 4.65 dS m−1.

Sea surface cooling also affected the track simulation of T1109 under weak basic flow because the weakened typhoon intensity altered the beta effect and changed the depth-weighted steering flows.

Using data and hydrodynamic simulations from the regulated, gravel cobble-bed lower Yuba River in California, power functions were fitted to dischargravel cobble-bedage width, depth, and depth-weighted velowerYuba Rivere spatinl sCaliforniathen their correspowerng exponents and coefunctions were compared across scales and against ones computed using traditional approaches.

The depth-weighted steering flow was calculated as a mass-weighted average every 3 h using the winds and geopotential heights at pressure levels between 300 and 850 hPa from the center of the typhoon to a radius of 400 km.

We analyzed resting-state functional connectivity in two stages: In the first part, the resting-state MEG recording of each participant was analyzed using depth-weighted minimum norm estimates to obtain the distributed and dynamic cortical source model [40], which presented each cortical vertex as a current dipole and included ~15,000 vertices in the forward model.

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