Abstract
Assessing and modeling precipitation in mountainous areas remains a major challenge in glacier mass balance modeling. Observations are typically scarce and reanalysis data and similar climate produ ...
Highlights
Ongoing world-wide glacier mass loss has major implications for sea level, local water resources, and natural hazards
The Weather Research and Forecasting Model (WRF) precipitation data include some orographic enhancement from the WRF topography that must be removed prior to applying the LT model to the finer resolution Digital Elevation Models (DEMs) to avoid doublecounting of the orographic effect
We assessed the ability of a LT model as a physically-based, intermediate complexity tool that can be used to downscale coarse gridded global or regional precipitation fields for the purposes of glacier mass balance modeling
Summary
Ongoing world-wide glacier mass loss has major implications for sea level, local water resources, and natural hazards. Glacier mass balance models have often applied simple empirical, mostly elevation-dependent, relations to distribute point precipitation data across glacier surfaces (e.g., Hock and Holmgren, 2005; Radicet al., 2014) or directly used gridded coarse-scale climate data (e.g., Ziemen et al, 2016). Both approaches typically fail to resolve the complex precipitation patterns in glacierized mountainous terrain (Schuler et al, 2008; Jarosch et al, 2012). Ptotal was bounded at 0 to avoid negative precipitation values
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