Methods

With advice from Ed Hopkins, the Assistant State Climatologist, pdf’s of the original paper copies of the daily precipitation submissions of both stations were downloaded. Almost universally, precipitation over weekends and holidays was not recorded at the stations such that totals were recorded the following workweek day. In the early years, while the records for each single day were not always accurately recorded, the cumulative weekend/holiday totals were recorded such that one could get a full monthly total that was generally accurate. However, starting in 1996, because the cumulative weekend/holiday precipitation didn’t allow to know daily totals, those records were not submitted electronically to NOAA’s final database so they were recorded as missing data in NOAA’s electronic dataset. However, from the hand-written pdf’s it was possible to compile the monthly totals. In the process quite a few months were checked and a few errors in the NOAA totals fixed.<br/>

Methods

Data were assembled from different collectors, names are given in metadata. Measurements were conducted by hand.

Methods

Temperature and relative humidity were recorded using Onset HOBO U23 Pro v2 temperature/relative humidity sensors in RS1 solar shields, which were attached to streetlight and utility poles in and around Madison, Wisconsin. The sensors were installed at a height of 3.5 meters, were oriented north, and automatically recorded instantaneous temperature and relative humidity every 15 minutes beginning in March 2012.

Methods

wind, pressure, temperature and precipitation sensors on buoy.

Methods

Data from the instrumented buoy on Crystal Lake include micrometeorological parameters, relative humidity, air temperature, wind velocity, wind direction (2 m height),and water temperatures, pH, chlorophyll, and dissolved oxygen measured by a sonde that is moving through the water column. Sampling Frequency: one minute;

Methods

The spatially explicit Lakes, Uplands, Wetlands Integrator (LUWI) model of the NHLD was used to explore the interactions among climate, watershed connections, hydrology and carbon cycling. See Cardille et al. 2007 and Cardille et al. 2009 for details on the LUWI model. See Van de Bogert (2011) for a discussion of how these model outputs are used in conjunction with LUWI to predict the effects on lake carbon cycling under the current and &quot;no freeze&quot; climate scenarios.The climate data used in this modeling effort, precipitation and temperature, were obtained from Minoqua, Wisconsin, USA from 1948-2000. In order to test the effect of a climate without freezing temperatures on lake water and carbon cycling the current climate was modeled in addition to a &ldquo;no freeze&rdquo; scenario where a minimum air temperature of 0 degrees Celsius was imposed on the model. Note that Van de Bogert (2011) only focuses on the current and &ldquo;no freeze&rdquo; climate scenarios, but these data are representative of four climate scenarios: the current climate (base_minoqua_precip), the scenario where the current climate is artificially floored to zero degrees Celsius (no_below_zero), and the scenarios where the current climate is increased and decreased by 10 degrees Celsius (minus_10_degrees and plus_10_degrees).Furthermore, the temperature and precipitation data that was used for the current climate model runs was broken up into aggregates.The aggregates are the length of the 1948-2000 Minoqua temperature and precipitation data that was used in model runs. A total of seven different aggregates were used for model runs under each of the four climate scenarios. The aggregates include temperature and precipitation data from Minoqua, WI, USA for 1. the complete record from 1948-2000 (1948_2000) 2. the driest year which was 1976 (1976_driest) 3. The wettest year which was 1953 (1953_wettest) 4. the five driest years on record from 1948-2000 (5_driest) 5. the five wettest years on record from 1948-2000 (5_wettest) 6. the five coldest years on record for December, January, and February from 1948-2000 (5_coldest_djf) 7. the five warmest years on record for December, January, and February from 1948-2000 (5_warmest_djf).The volume and timing of precipitation to the region were unchanged between scenarios.Evaporation rates were derived from values obtained from the NTL-LTER study site, Sparkling Lake (46.01, -89.70). Refer to Van de Bogert (2011) for a more complete discussion of model inputs and a discussion of the results of the model output. Documentation: Van de Bogert, M.C., 2011. Aquatic ecosystem carbon cycling: From individual lakes to the landscape. ProQuest Dissertations and Theses. The University of Wisconsin - Madison, United States -- Wisconsin, p. 156.Cardille, J.A., Carpenter, S.R., Coe, M.T., Foley, J.A., Hanson, P.C., Turner, M.G., Vano, J.A., 2007. Carbon and water cycling in lake-rich landscapes: Landscape connections, lake hydrology, and biogeochemistry. Journal of Geophysical Research-Biogeosciences 112.Cardille, J.A., Carpenter, S.R., Foley, J.A., Hanson, P.C., Turner, M.G., Vano, J.A., 2009. Climate change and lakes: Estimating sensitivities of water and carbon budgets. Journal of Geophysical Research-Biogeosciences 114.

Methods

Raw data (in English units) were assembled by Douglas Clark - Wisconsin State Climatologist. Data were converted to metric units and adjusted for temporal biases by Dale M. Robertson. For adjustments applied to various parameters see Robertson, 1989 Ph.D. Thesis UW-Madison. Adjusted data represent the BEST estimated daily data and may be raw data. Data collected at Washburn observatory, 8-1-1883 to 9-30-1904. Data collected at North Hall, 10-1-1904 to 12-31-1947 Data collected at Truax Field (Admin BLDG), 1-1-1948 to 12-31-1959. Data collected at Truax Field (Center of Field), 1-1-1960 to Present. Much of the data after 1990 were obtained in digital form from Ed Hopkins, UW-Meteorology. Data starting in 2002-05 were obtained from Sullivan at <a href="http://www.weather.gov/climate/index.php?wfo=mkx%20">http://www.weather.gov/climate/index.php?wfo=mkx</a> ,then go to CF6 and download monthly data to Madison_sullivan_conversion. Since Robertson (1989) adjusted all historical data to that collected from 1884-1989; no adjustments were applied to the recent data except for (1) wind and (2) estimated vapor pressure:(1) Wind after January 1997, and only wind from the southwest after November 2007, was extended by Dale M. Robertson and Yvonne Hsieh.In 1996, a discontinuity in the wind record was caused by change in observational techniques and sensor locations (Mckee et al. 2000). To address the non-climatic changes in wind speed, data from MSN were carefully compared with those collected from the tower of the Atmospheric and Oceanic Science Building at the University of Wisconsin-Madison, see http://ginsea.aos.wisc.edu/labs/mendota/index.htm. Hourly data from both sites (UMSN,hourly and UAOS,hourly) during 2003&ndash;2010 were used to form a 4&times;12 (four components of wind direction &times; 12 months) matrix (K4,12) of wind correction factors, yielding UAOS,daily= Ki,j&times;UMSN,daily. The comparison results indicated that the MSN weather station reported a higher magnitude in winds out of the east by 5% and lower magnitude in winds out of the west and south by 30% and 10%. The adjusted wind data (=Ki,j&times;UMSN,daily) were therefore employed and used in the model simulation. After adjustments, there was a decrease in wind velocities starting shortly before 1996. Overall the adjusted wind data had a decline in wind velocities of 16% from 1988&ndash;93 to 1994&ndash;2009) compared to a 7% decline at a nearby weather station with no known observational changes (St. Charles, Illinois; 150 km southeast of Lake Mendota). (2) Estimated vapor pressure was updated (after April 2002) by using the equation from DYRESM for estimation of vapor pressure (a function of both air temperature and dew point temperature); where a=7.5, b=237.3, and c=.7858.

Methods

Standard National Weather Service weather station

Methods

Standard National Weather Service weather station set up.

Methods

For a full description of data prior to 1987 see Robertson, 1989 (Ph.D. Thesis). Raw data (in English units) prior to 1977 were assembled by Douglas Clark - Wisconsin State Climatologist. Data were converted to metric units and adjusted for temporal biases by Dale M. Robertson. Adjusted data represent the BEST estimated daily data and may be raw data. Daily temperature data prior to 1884 were estimated from 3 times per day sampling and biases are expected and should not be comparable with data after that time. For adjustments applied to various parameters see Robertson, 1989 Ph.D. Thesis UW-Madison. Douglas Clark had assembled and adjusted 1948 to 1977 data for his own research earlier. Data from 1989 to 1995 obtained from CD's at the Wis. State Climatologists Office. Air Temp adjusted to data at Truax Field. Data collected at Bascom Hall, 1-1-1869 to 9-30-1878. Data collected at North Hall, 10-1-1904 to 12-31-1947. Data collected at Browns Block, 10-1-1878 to 4-31-1883. Data collected at Truax Field (Admin BLDG), 1-1-1948 to 12-31-195. Data collected at North Hall, 5-1-1883 to 7-31-1883. Data collected at Truax Field (Center of Field), 1-1-1960 to Present. Data collected at Washburn observatory, 8-1-1883 to 9-30-1904. Wind data collected at Truax from 1-1-1947 to Present. Much of the data after 1990 were obtained in digital form from Ed Hopkins, UW-Meteorology Sampling Frequency: daily values Number of sites: 1