1990
DOI: 10.2737/ne-gtr-141
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Thirty years of hydrometeorologic data at the Hubbard Brook Experiment Forest, New Hampshire

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Cited by 49 publications
(7 citation statements)
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“…In December 1989, snowpack depth at HF ranged from 10 to 31 cm, with lowest depths early in the month (days 1-14) when mean daily temperatures ranged from -11.4 to -18.6 °C. At HBEF during this period, when mean daily temperatures ranged from -7 to -19 °C, freezing of the forest floor occurred beneath a 13-cm (43 mm of water) snow pack (station 2, December 4, 1989) (21). Although the actual extent and depth of soil frost were not known for these catchments, it is expected that freezing would have been greatest in exposed areas at high elevations.…”
Section: Resultsmentioning
confidence: 95%
“…In December 1989, snowpack depth at HF ranged from 10 to 31 cm, with lowest depths early in the month (days 1-14) when mean daily temperatures ranged from -11.4 to -18.6 °C. At HBEF during this period, when mean daily temperatures ranged from -7 to -19 °C, freezing of the forest floor occurred beneath a 13-cm (43 mm of water) snow pack (station 2, December 4, 1989) (21). Although the actual extent and depth of soil frost were not known for these catchments, it is expected that freezing would have been greatest in exposed areas at high elevations.…”
Section: Resultsmentioning
confidence: 95%
“…Gauge sites were initially instrumented with standard cumulative rain gauges that were shielded (Alter type), located in maintained forest openings and measured weekly (Leonard & Reinhart, 1963). A subset of sites also included a Belfort weighing rain gauge used to distribute weekly precipitation into individual days (Federer, 1990; Green et al, 2018; Leonard & Reinhart, 1963). Since June 2016, 15‐minute precipitation has been measured with a shielded (Alter type) ETI NOAH IV digital weighing rain gauge, summed for each day.…”
Section: Methodsmentioning
confidence: 99%
“…J o u r n a l P r e -p r o o f Federer (1990); Holmes and Likens (2016)). A sample campaign driven by a spatially-distributed model can point to locations and times where data is most informative.…”
Section: Model-data Connectionmentioning
confidence: 99%