• No results found

Multi-year evaluation of airborne geodetic surveys to estimate seasonal mass balance, Columbia and Rocky Mountains, Canada

N/A
N/A
Protected

Academic year: 2020

Share "Multi-year evaluation of airborne geodetic surveys to estimate seasonal mass balance, Columbia and Rocky Mountains, Canada"

Copied!
19
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Figure 1. Map of the Canadian Columbia River basin (black out-line, brighter topography) and locations of study sites
Table 1. Glacier-specific details. Firn ratio refers to the area of a glacier covered by multi-year firn, which is the combination of accumulationarea and exposed firn from 2015 imagery.
Table 3.corrections applied to glaciological data (surv.corr). Statistical analysis of the DEMs over stable terrain include NMAD, median height difference, and bias correction applied over the
Table 4. Density values used for geodetic and glaciological balance.Glaciological values are average values.
+7

References

Related documents

It contains considerably less provi- sions than the legislations in the EU states and is set out in sev- eral laws – the Swiss Code of Obligations (individual employment

12 The AVERROES study, which compared the anticoagulant apixaban with aspirin, demonstrated a clinically relevant reduction in stroke or systemic embolism in patients with

These included 2 items about management of respiratory secretions: (1) providing tissues and informing patients the location of receptacles for the disposal of used tissues, and

This analysis evaluated the economic value of omalizumab in the treatment of adult patients with severe allergic asthma (step 4 GINA) in an Italian setting based on real-world data

Few-body physics has been transformational in terms of how we understand low-energy nuclear physics. The suc- cess is largely due to the existence of uncoupled few-body problems

This paper reviews the speciation of Lead which is a stable trace metal with alpha and beta particle emitting radioactive isotopes known to have drawn

Learning curve predictions from Equation (14) using numerically computed eigenvalues for the globally normalised random walk kernel are shown in Figure 3 as dotted lines for