DOI:
Data set ID:
Estimated evapotranspiration from a hypothetical short grass with a height of 0.12 m, a surface resistance of 70 s m-1, and an albedo of 0.23 (no water stress). Dataset contains daily total estimated evapotranspiration.
Estimated evapotranspiration from a hypothetical short grass with a height of 0.12 m, a surface resistance of 70 s m-1, and an albedo of 0.23 (no water stress). Dataset contains daily total estimated evapotranspiration.
Data set contains results of chemical analysis of wetfall samples collected on Konza Prairie. Analysis is done by the Central Analytical Lab (CAL), Champaign, IL as part of the National Atmospheric Deposition Program (NADP). NADP data products available on the NADP/NTN web site (nadp.slh.wisc.edu/data/NTN/ (link is external)) include: Annual Data Summaries, Semiannual Data Reports, Annual and Seasonal Averages, Monthly Averages, and Weekly data. Konza Prairie LTER archives and provides the weekly data in electronic form before May 2019.
Data set contains daily records of precipitation on 10 raingauges at 10 sites on Konza Prairie. Two sites (020A and 002C; SE) have 7-day clocks (one revolution per week), 7 have 24-hour clocks (one revolution per day), and the Headquarters raingauge generates daily data and 15 minute data. The Headquarters raingauge generates data year round. The remaining rain gauges are operated from April 1 to October 31. Precipitation amounts are recorded in mm.
The following weather data are included in this data set: hourly (record type 1): mean temperature, mean relative humidity, mean wind speed, mean wind direction, mean solar radiation, soil temperature, max wind speed; daily (record type 2): maximum air temperature, minimum air temperature, mean air temperature, mean relative humidity, total solar radiation, total precipitation, maximum soil temperature, minimum soil temperature, mean soil temperature, average wind speed. These data are collectecd by a micrologger at headquarters on Konza Prairie.
The objectives of this project are to quantify the seasonably variable timing among meteoric precipitation, groundwater recharge, and groundwater temperature. Hypotheses are: 1. Because of the karst-like characteristics of the aquifers in N04d (and by extension, the entire region), recharge will be rapid during moderately large precipitation events where fractures are enlarged by dissolution and therefore highly conductive, except during the most active part of the growing season. 2.
Climate extremes, such as drought, are increasing in frequency and intensity, and the ecological consequences of these extreme events can be substantial and widespread. Yet, little is known about the factors that determine recovery (or resilience) of ecosystem function post-drought. Such knowledge is particularly important because post-drought recovery periods can be protracted depending on drought legacy effects (e.g., loss key plant populations, altered community structure and/or biogeochemical processes).