Sentence examples for sizes at multiple from inspiring English sources

Our NASA-CASA model has been validated against field-based measurements of NEP fluxes and carbon pool sizes at multiple forest sites [35 37] and against atmospheric inverse model estimates of global NEP [18].

Our NASA-CASA model has been validated against field-based measurements of NPP fluxes and carbon pool sizes at multiple boreal forest sites in North America [18, 26 28] and against atmospheric inverse model estimates of global carbon fluxes [20].

Our NASA-CASA model has been validated against field-based measurements of NEP fluxes and carbon pool sizes at multiple forest sites [ 35- 37] and against atmospheric inverse model estimates of global NEP [ 18].

Our NASA-CASA model has been validated against field-based measurements of NPP fluxes and carbon pool sizes at multiple boreal forest sites in North America [ 18, 26- 28] and against atmospheric inverse model estimates of global carbon fluxes [ 20].

The DLEM model is a highly integrated process-based ecosystem model that couples carbon, nutrients (i.e., nitrogen and phosphorus) and water cycles in terrestrial ecosystems for estimating the hydrological, biogeochemical fluxes and pool sizes at multiple scales from site to region/globe and with time steps ranging from day to year.

To model potentially unstable dispersions, it is necessary to calculate α values using experimentally determined stability parameters such as hydrodynamic size at multiple time points.

Probabilistic hazard datasets are typically quite robust in that they often include a range of data types (e.g., volcanic ash thickness, ash grain size) at multiple levels of uncertainty (e.g., 90th percentile, average) over a number of different time frames (e.g., in the event of an eruption, in the next 10 years).

Building on literature-derived definitions and typologies of surprise, and using results from a modeled 81,000 ha study area in a wildland-urban interface of western Oregon's Willamette Valley Ecoregion, the paper explores surprise by analyzing alternative future deviations from historical fire size at multiple spatial and temporal scales.

Therefore, the efficacy of purging as a mechanism for preventing mutation accumulation may be quite limited, particularly when dealing with mutations of small to moderate effect size at multiple loci.

Although we have been able to ascertain the relative importance of these factors to some degree (see Table 2 and Figure 1), the next step would be to use these factors to design a survey using a larger sample size at multiple institutions to add to the research in this field.

Relatively simple data about flow-rates and particle size captured at multiple points in an autonomously running plant can be reduced to meaningful and timely information about the whole process.