Contributors | Affiliation | Role |
---|---|---|
McKay, Robert Michael | Bowling Green State University (BGSU) | Principal Investigator, Contact |
Bullerjahn, George S. | Bowling Green State University (BGSU) | Co-Principal Investigator |
Morris, Paul F | Bowling Green State University (BGSU) | Co-Principal Investigator |
Gegg, Stephen R. | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Switzer, Megan | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Lake Erie Ice - Physico-Chemical Data - Winter 2012, 2013, 2016
For additional information see:
Collecting Winter Data on U.S. Coast Guard Icebreakers
Study Plan for the U.S. Coast Guard Survey of Lake Erie in Winter 2011-12
Study Plan for the U.S. Coast Guard Survey of Lake Erie in Winter 2012-13
Study Plan for the Canadian Coast Guard Survey of Lake Erie in Winter 2012-13
Study Plan for the Canadian Coast Guard Survey of Lake Erie in Winter 2016
Study Plan for the US Coast Guard Survey of Lake Erie in Winter 2016.
(see individual deployments)
(see individual deployments)
BCO-DMO Processing Notes:
- added conventional header with dataset name, PI name, version date
- modified parameter names to conform with BCO-DMO naming conventions
- replaced spaces and / with underscores
- blank values replaced with no data value 'nd'
File |
---|
LakeErieIce_data.csv (Comma Separated Values (.csv), 28.11 KB) MD5:f3bb4d3d85926a47312b635ce2f66ef7 Primary data file for dataset ID 4045 |
Parameter | Description | Units |
Station | Station Number | dimensionless |
Station_EC | Station identifier provided by Environment Canada for "process" stations that are routinely occupied during EC surveys. | dimensionless |
Date_Local | Date Local | YYYYMMDD |
Time_Local | Time Local | HHMMSS |
ISO_DateTime_Local | ISO Formatted Date/Time Local | yyyy-mm-ddThh:mm |
Lat_DegMin | Latitude in Degrees and Decimal Minutes | Deg DecMin N/S |
Lat_DecDeg | Latitude in Decimal Degrees | decimal degrees |
Lon_DegMin | Longitude in Degrees and Decimal Minutes | Deg DecMin E/W |
Lon_DecDeg | Longitude in Decimal Degrees | decimal degrees |
Station_Depth_Feet | Station Depth in Feet | feet |
Station_Depth_Meters | Station Depth in Meters | meters |
Ice_Cover | Ice Cover | percentage |
Snow_Cover | Snow Cover | percentage |
Ice_Type | Ice Type | text |
Ice_Thickness | Ice Thickness | inches |
Air_Temp_F | Air Temp Degrees Fahrenheit | degrees fahrenheit |
Air_Temp_C | Air Temp Degrees Celsius | degrees celsius |
Baro_Press_Inches | Barometric Pressure in inches of mercury | Hg |
Baro_Press_Milli | Barometric Pressure in millibars | millibars |
Wind_Spd_Knts | Wind Speed in Knots | knots |
Wind_Spd_M_per_Sec | Wind Speed in Meters per Second | meters per second |
Wind_Direction | Wind Direction True | degrees or text |
Weather | Weather Description | text |
Water_Temp | Water Temperature | degrees fahrenheit |
Chl_gt_0point2_um_PCTE_Replicate_1 | Chl (> 0.2 um PCTE) Replicate 1 | micro g L-1 |
Chl_gt_0point2_um_PCTE_Replicate_2 | Chl (> 0.2 um PCTE) Replicate 2 | micro g L-1 |
Chl_gt_0point2_um_PCTE_Replicate_3 | Chl (> 0.2 um PCTE) Replicate 3 | micro g L-1 |
Chl_gt_0point2_um_PCTE_Mean | Chl (> 0.2 um PCTE) Mean Extractive Chlorophyll a biomass > 0.2um retained on a polycarbonate [PCTE] membrane - Mean for the triplicate set of chlorophyll values | micro g L-1 |
Chl_gt_20_um_PCTE_Replicate_1 | Chl (> 20 um PCTE) Replicate 1 | micro g L-1 |
Chl_gt_20_um_PCTE_Replicate_2 | Chl (> 20 um PCTE) Replicate 2 | micro g L-1 |
Chl_gt_20_um_PCTE_Replicate_3 | Chl (> 20 um PCTE) Replicate 3 | micro g L-1 |
Chl_gt_20_um_PCTE_Mean | Chl (> 20 um PCTE) Mean Extractive Chlorophyll a biomass > 20um retained on a polycarbonate [PCTE] membrane - Mean for the triplicate set of chlorophyll values | micro g L-1 |
Chl_GF_F_Replicate_1 | Chl (GF/F) Replicate 1 | micro g L-1 |
Chl_GF_F_Replicate_2 | Chl (GF/F) Replicate 2 | micro g L-1 |
Chl_GF_F_Replicate_3 | Chl (GF/F) Replicate 3 | micro g L-1 |
Chl_GF_F_Mean | Chl (GF/F) Mean Extractive Chlorophyll a biomass retained on a glass fiber [GF/F] membrane - Mean for the triplicate set of chlorophyll values | micro g L-1 |
NH3 | Dissolved Nutrients - NH3 | mg L-1 |
CL | Dissolved Nutrients - CL | mg L-1 |
S04 | Dissolved Nutrients - SO4 | mg L-1 |
NO2 | Dissolved Nutrients - NO2 | mg L-1 |
NO3 | Dissolved Nutrients - NO3 | mg L-1 |
SIO2 | Dissolved Nutrients - SIO2 | mg L-1 |
SRP | Dissolved Nutrients - SRP | mg L-1 |
Total_Phosphorus | Particulate - Total Phosphorus | mg L-1 |
Dataset-specific Instrument Name | Dionex Ion Chromatograph |
Generic Instrument Name | Ion Chromatograph |
Generic Instrument Description | Ion chromatography is a form of liquid chromatography that measures concentrations of ionic species by separating them based on their interaction with a resin. Ionic species separate differently depending on species type and size. Ion chromatographs are able to measure concentrations of major anions, such as fluoride, chloride, nitrate, nitrite, and sulfate, as well as major cations such as lithium, sodium, ammonium, potassium, calcium, and magnesium in the parts-per-billion (ppb) range. (from http://serc.carleton.edu/microbelife/research_methods/biogeochemical/ic....) |
Dataset-specific Instrument Name | Technicon TrAAcs AutoAnalyzer |
Generic Instrument Name | Nutrient Autoanalyzer |
Generic Instrument Description | Nutrient Autoanalyzer is a generic term used when specific type, make and model were not specified. In general, a Nutrient Autoanalyzer is an automated flow-thru system for doing nutrient analysis (nitrate, ammonium, orthophosphate, and silicate) on seawater samples. |
Dataset-specific Instrument Name | Stainless Steel Sampling Bottle |
Generic Instrument Name | Stainless Steel Sampling Bottle |
Dataset-specific Description | Near-surface water (1 m depth) will be collected using a stainless steel sampling bottle.
These bottles were custom made (welded stainless steel) by Fletcher Manufacturing, Bowling Green, OH).
|
Generic Instrument Description | A stainless steel sampling bottle used for collecting near surface samples (not a GO-FLO bottle) |
Dataset-specific Instrument Name | Turner Designs 700 Laboratory Fluorometer |
Generic Instrument Name | Turner Designs 700 Laboratory Fluorometer |
Dataset-specific Description | For analysis by fluorometry, samples are extracted in 90% acetone (24 h at -20° C) and chlorophyll measured in a TD-700 fluorometer (Turner) using the non-acidified approach (Welschmeyer, 1994)
|
Generic Instrument Description | The TD-700 Laboratory Fluorometer is a benchtop fluorometer designed to detect fluorescence over the UV to red range. The instrument can measure concentrations of a variety of compounds, including chlorophyll-a and fluorescent dyes, and is thus suitable for a range of applications, including chlorophyll, water quality monitoring and fluorescent tracer studies. Data can be output as concentrations or raw fluorescence measurements. |
Website | |
Platform | USCGC NEAH BAY |
Start Date | 2012-01-04 |
End Date | 2012-04-05 |
Description | Note: There is no official cruise id. "NEAHBAY_Winter2012" was generated by BCO-DMO staff.
The 2012 winter Coast guard ice-breaking operation on Lake Erie is called “Operation Coal Shovel”
which has been assigned as a primary synonym for the cruise.
The locations list was generated from the station locations contributed with the data.
For additional information see:
Collecting Winter Data on U.S. Coast Guard Icebreakers
Study Plan for the U.S. Coast Guard Survey of Lake Erie in Winter 2011-12 Methods & Sampling See: Collecting Winter Data on U.S. Coast Guard Icebreakers Study Plan for the U.S. Coast Guard Survey of Lake Erie in Winter 2011-12 Processing Description See: http://bcodata.whoi.edu/LakeErie_Ice/Oyserman2012_Eos.pdf">Collecting Winter Data on U.S. Coast Guard Icebreakers http://bcodata.whoi.edu/LakeErie_Ice/Study_Plan_BGSU_CoastGuard_Winter20... Plan for the U.S. Coast Guard Survey of Lake Erie in Winter 2011-12 Means were calculated for each triplicate set of chlorophyll values. BCO-DMO Processing Notes Original file: "NEAH BAY_2012_master.xlsx", sheet: "Cumulative" contributed by Robert McKay - Date reformatted to YYYYMMDD - Time reformatted to HHMMSS - Lat/Lon hemisphere sign (E/W or N/S) added to Lat/Lon Deg, Decimal minutes fields - "n.d." replaced with "nd" (BCO-DMO standard for no data) - Parameter names edited to conform to BCO-DMO parameter naming conventions - Columns added to generate a common set of parameters for all three cruises: "Station_EC" "Water_Temp" (All "nd") |
Website | |
Platform | USCGC MACKINAW |
Start Date | 2013-01-29 |
End Date | 2013-02-02 |
Description | Note: There is no official cruise id. "MACKINAW_Winter2013" was generated by BCO-DMO staff.
The 2013 winter Coast guard ice-breaking operation on Lake Erie is called “Operation Taconite”
which has been assigned as a primary synonym for the cruise.
The locations list was generated from the station locations contributed with the data.
For additional information see:
Collecting Winter Data on U.S. Coast Guard Icebreakers
Study Plan for the U.S. Coast Guard Survey of Lake Erie in Winter 2012-13 Methods & Sampling See: Collecting Winter Data on U.S. Coast Guard Icebreakers Study Plan for the U.S. Coast Guard Survey of Lake Erie in Winter 2012-13 Processing Description See: http://bcodata.whoi.edu/LakeErie_Ice/Oyserman2012_Eos.pdf">Collecting Winter Data on U.S. Coast Guard Icebreakers http://bcodata.whoi.edu/LakeErie_Ice/Study_Plan_BGSU_USCoastGuard_Winter... Plan for the U.S. Coast Guard Survey of Lake Erie in Winter 2012-13 Means were calculated for each triplicate set of chlorophyll values. BCO-DMO Processing Notes Original file: "MACKINAW_2013_ master_13Sept13.xlsx", sheet: "Cumulative" contributed by Robert McKay - Date reformatted to YYYYMMDD - Time reformatted to HHMMSS - Lat/Lon hemisphere sign (E/W or N/S) added to Lat/Lon Deg, Decimal minutes fields - "-" replaced with "nd" (BCO-DMO standard for no data) - Parameter names edited to conform to BCO-DMO parameter naming conventions - Columns added to generate a common set of parameters for all three cruises: "Station_EC" "Baro_Press_Mill" (generated from "Baro_Press_Inches * 33.8637526) |
Website | |
Platform | CCGS GRIFFON |
Start Date | 2013-02-18 |
End Date | 2013-02-23 |
Description | The locations list was generated from the station locations contributed with the data.
For additional information see:
Study Plan for the Canadian Coast Guard Survey of Lake Erie in Winter 2012-13 Methods & Sampling See: Study Plan for the Canadian Coast Guard Survey of Lake Erie in Winter 2012-13 Processing Description See: http://bcodata.whoi.edu/LakeErie_Ice/Study_Plan_BGSU_CanadianCoastGuard_... Plan for the Canadian Coast Guard Survey of Lake Erie in Winter 2012-13 Means were calculated for each triplicate set of chlorophyll values. BCO-DMO Processing Notes Original file: "GRIFFON_2013_ master_13Sept13.xlsx", sheet: "Cumulative" contributed by Robert McKay - Date reformatted to YYYYMMDD - Time reformatted to HHMMSS - Lat/Lon hemisphere sign (E/W or N/S) added to Lat/Lon Deg, Decimal minutes fields - "#Value!" replaced with "nd" (BCO-DMO standard for no data) - Parameter names edited to conform to BCO-DMO parameter naming conventions - Columns added to generate a common set of parameters for all three cruises: "Station_Depth_Feet" (generated from Station_Depth_Meters/0.3048) "Air_Temp_F" (generated from (Air_Temp_C * 1.8 + 32.0)) "Baro_Press_Inches" (generated from Baro_Press_Mill * 0.0295301) "Water_Temp" (All "nd") "Chl_GF_F_Replicate_1,2,3,Mean" (All "nd") |
Website | |
Platform | CCGS GRIFFON |
Report | |
Start Date | 2016-02-15 |
End Date | 2016-02-19 |
Description | PURPOSE:
Characterize the spatial and vertical distribution in Lake Erie of
i) benthic seed populations
ii) physico-chemical parameters (temperature, conductivity etc.) and major nutrients in water column
iii) primary productivity, carbon processing and bacterial activity
iv) algal nutrient and physiological status; toxins
v) phytoplankton, picoplankton and algal taxa; samples for DNA barcoding and metagenomic analyses |
Website | |
Platform | USCGC NEAH BAY |
Report | |
Start Date | 2016-01-14 |
End Date | 2016-03-04 |
Description from NSF award:
Winter presents a logistical obstacle to our understanding of lake ecosystems. A recent collaboration of the PIs with the Canadian- and U.S. Coast Guards and their icebreaking programs has facilitated annual winter surveys of Lake Erie since 2007. Conducted during times of expansive ice cover, these surveys have documented high phytoplankton biomass, often in discrete formations and dominated by a filamentous diatom, Aulacoseira islandica. Whereas Lake Erie is characterized by a high annual median ice cover [AMIC] consistent with its relative shallow bathymetry, it also shows extremes in maximum ice extent ranging from ~10% in low ice years to > 99% in high ice years. While maximum ice cover on Lake Eries has reached ~95% each winter from 2007-2010, the winter of 2011-12 is shaping up much differently, with unseasonably warm conditions and almost no ice cover.
The PIs will use a Rapid Response Research (RAPID) grant to investigate the changes in phytoplankton community structure and function during this warm and practically ice-free winter. Specifically, they will test the hypothesis that the warm monomictic mixing regime that occurs in the absence of expansive ice cover suppresses diatom growth in Lake Erie's central basin. This project will provide synoptic data on the concentration of chlorophyll a in near-surface waters at stations throughout Lake Erie during the winter season.
Suppression of abundant winter diatom growth may have important implications for events occurring during summer in Lake Erie. The documentation of abundant winter diatom growth, combined with low measured rates of bacterial decomposition results in net accumulation of algae on the lake bottom. As summer progresses and the hypolimnion warms, bacterial remineralization of the exported diatom biomass accelerates, depleting the hypolimnion of oxygen. These observations are consistent with a new hypothesis on lake function, namely that winter phytoplankton production drives Lake Erie summer hypoxia. Oxygen depletion in Lake Erie's central basin is well documented with effects ranging from enhanced internal nutrient loading to loss of habitat for macrofauna. At its full expanse, the area can exceed 10,000 km2, comparable in surface area to the low oxygen 'dead zone' in the Gulf of Mexico. Thus, deviation from the high phytoplankton biomass accumulation associated with 'typical' winter ice cover may be reflected in higher hypolimnetic dissolved oxygen measured during summer. This research opportunity can help define environmental changes that might be expected in a warming climate.
For additional information see:
Collecting Winter Data on U.S. Coast Guard Icebreakers
Study Plan for the U.S. Coast Guard Survey of Lake Erie in Winter 2011-12
A series of studies concerned with the chemistry and biology of the Laurentian Great Lakes. These different studies share a focus on the dynamics of organic pools of carbon, nitrogen and phosphorus, and the stoichiometric linkages among these elements. At different times, work also has focused on trace metal dynamics and interactions with biota, the rates of primary production and herbivory, rates and patterns of primary productivity, and the century-long, steady trend of increasing nitrate in Earth's largest lake by area. Microbial populations have been investigated and linked to these chemical properties.
This Program was created by BCO-DMO staff to bring various Laurentian Great Lakes Research projects under one umbrella for improved discovery and access.
Dates: 1998 - 2014
Funding: NSF/OCE and Minnesota Sea Grant
Funding Source | Award |
---|---|
NSF Division of Ocean Sciences (NSF OCE) |