Publication Details
Verry, Elon S.; Elling, Arthur E. 2005. Marcell Experimental Forest cumulative hydrology database, 1960-2000. St. Paul, MN: USDA Forest Service, North Central Research Station. https://doi.org/10.2737/RDS-2005-0001
To cite material from this chapter:
Verry, Elon S.; Elling, Arthur E. Marcell Experimental Forest cumulative hydrology database, 1960–2000. St. Paul, MN: USDA Forest Service, North Central Research Station. Chapter 1, Introduction. https://doi.org/10.2737/RDS-2005-0001
** PLEASE NOTE ** Quite a few errors in these data have been found by the research team. Caution is advised when using this edition of the data. Use for classroom exercises should provide reasonable results. But data are in the process of being updated and provided as separate data publications. Updated data are listed in the Cross Reference section.
The particular variables measured are daily temperature (maximum, minimum, average), daily precipitation, daily water table, daily runoff, monthly water table, monthly maximum runoff (maximum flow head height, peak flow rate), maximum rain runoff, maximum snow runoff, monthly total runoff, frost (frost thickness, frost occurrence as percent of area) by covertype (conifer, deciduous, open), frost in bogs (depth to frost layer, frost thickness, frost occurrence as percent of area), maximum snowpack (maximum snow water content, maximum snowpack depth), soil temperature, soil properties (bulk density, soil moisture at 15 BAR), and soil available water.
Not all variables were measured at all watersheds in all years.
- Verry, Elon S.; Elling, Arthur E.; Sebestyen, Stephen D.; Kolka, Randall K.; Kyllander, Richard. 2018. Marcell Experimental Forest daily streamflow data. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2018-0009
- Verry, Elon S.; Elling, Arthur E.; Sebestyen, Stephen D.; Kolka, Randall K.; Kyllander, Richard. 2018. Marcell Experimental Forest peatland and upland water table elevations. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2018-0002
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