2018
DOI: 10.5194/hess-2018-260
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Multi-scale temporal variability in meltwater contributions in a tropical glacierized watershed

Abstract: Abstract. Climate models predict amplified warming at high elevations in low latitudes, making tropical glacierized regions some of the most vulnerable hydrological systems in the world. Observations reveal decreasing streamflow due to retreating glaciers in the Andes, which hold 99% of all tropical glaciers. However, the timescales over which meltwater contributes to streamflow and the pathways it takes -surface and subsurface -remain uncertain, hindering our ability to predict how shrinking glaciers will imp… Show more

Help me understand this report
View published versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

2
42
0

Year Published

2018
2018
2022
2022

Publication Types

Select...
6
1

Relationship

3
4

Authors

Journals

citations
Cited by 13 publications
(44 citation statements)
references
References 55 publications
2
42
0
Order By: Relevance
“…During the rainy season, interflow (shallow, preferential flow through the unsaturated zone) dominates (60%) streamflow. These results complement work by others (e.g., Andermann et al, ; Baraer et al, ; Hood & Hayashi, ; Pohl et al, ; Saberi et al, ; Somers et al, ) to demonstrate that groundwater is an important contributor to streamflow in glacierized mountain catchments.…”
Section: Resultssupporting
confidence: 88%
See 2 more Smart Citations
“…During the rainy season, interflow (shallow, preferential flow through the unsaturated zone) dominates (60%) streamflow. These results complement work by others (e.g., Andermann et al, ; Baraer et al, ; Hood & Hayashi, ; Pohl et al, ; Saberi et al, ; Somers et al, ) to demonstrate that groundwater is an important contributor to streamflow in glacierized mountain catchments.…”
Section: Resultssupporting
confidence: 88%
“…The low contribution of glacier melt to groundwater suggests that overall, groundwater recharge is resilient to a reduction in glacier meltwater input. To our knowledge, the only other quantitative estimate of glacier melt contribution to groundwater comes from a headwater catchment on Volcán Chimborazo in Ecuador, where 15% of groundwater discharge was found to originate from glaciers that cover 34% of the watershed area (Saberi et al, ). These results suggest a useful relationship between glacier coverage as a proportion of watershed area, and glacier‐sourced groundwater discharge, similar to the relationship proposed by Baraer et al () between glacierized area and glacier melt contribution to streamflow.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…ALog development evolved iteratively over more than seven years of lab design and field deployments (Figure 4). ALog data loggers have been deployed in the high alpine (Niwot Ridge, Colorado, USA), the high desert (Quebrada del Toro, Argentina), coastal wetlands (Wax Lake Delta, Louisiana, USA), subalpine valleys (Gordon Gulch, Colorado, USA), tropical mountains (Chimborazo, Ecuador), continental lacustrine regions (Minnesota, USA, and Ontario, Canada), and on large glaciers (Kennicott Glacier, Alaska, USA) (Wickert, 2014;Armstrong et al, 2016;Tauro et al, 2018;Saberi et al, 2018). During these deployments, the ALog recorded data from weather stations, glacier ablation monitoring stations, thermistors, stream gauges, soil moisture probes, pressure transducers for water levels in wells, subsurface temperature profilers, and frost-heave gauges; a full list of sensors for which firmware has been developed is in Table 2.…”
Section: Field Deploymentmentioning
confidence: 99%
“…This station, here programmed to record data every five minutes, dramatically increases ablation data density beyond traditional methods, which incorporate daily to weekly field surveys of snow and/or ice surface elevation change around ablation stakes. Furthermore, by including on-stake temperature measurements, we are able to compute at-stake melt factors for degree-day melt models, which are significant for both glaciological and water resources research (Saberi et al, 2018).…”
mentioning
confidence: 99%