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Record W6894291201 · doi:10.5683/sp3/b43409

McMaster Weather Station (MUWS) Data

2014· dataset· en· W6894291201 on OpenAlexaffabout

Bibliographic record

VenueBorealis · 2014
Typedataset
Languageen
Field
Topic
Canadian institutionsMcMaster University
Fundersnot available
KeywordsWeather stationWind speedHydrometeorologyShortwaveAutomatic weather stationRadiometerSurface weather observationRoof

Abstract

fetched live from OpenAlex

Introduction McMaster Weather Station is operated by the Hydrometeorology and Climatology Lab in the School of Geography and Earth Sciences, McMaster University, Hamilton, Ontario, Canada. It is being supervised by Dr. Altaf Arain, Professor in the School. The primary purpose of this weather station is to support undergraduate and graduate teaching and serve the campus and surrounding community in west Hamilton. The station was established in October 2007 and a number of meteorological variables are being measured. Those using data are encouraged to check sensor details. Note: A large open space free of surrounding obstacles was not available at McMaster University campus to install this weather station. General Science Building roof top was the most appropriate location, available. ================================================================ * Station location: McMaster University, 1280 Main Street West, Hamilton, Ontario, L8S 4K1, Canada. Latitude: 43°15' 42.93" N Longitude: 79° 55' 11.86" W Ground elevation: 90 m above sea level Roof surface elevation: 114 m above sea level ================================================================ * Sensor descriptions and heights: 1. Wind sensor at 7m above the roof surface - Wind speed and wind direction are measured using R.M. Young Wind Monitor, model 05103. The wind speed sensor is a helicoid-shaped, four-blade propeller-type, anemometer, with fuselage and tail wind vane. (http://ww w.campbellsci.com/05103-l) 2. Radiation sensor at 2m above the roof surface - Measured using four-sensor net radiometer, manufactured by the Kipp and Zonen, model CNR1. The radiometer measures the energy balance between incoming short-wave (CM3 sensor) and long-wave (CG3 sensor) radiation versus surface reflected shortwave and outgoing longwave radiation. The CNR1 also includes a sensor to measure the radiometer's internal temperature and a heater that is used to prevent condensation. ( http://www.kippzonen.com/Product/33/CNR-1) 3. Air temperature and humidity sensors at 2 m above the roof surface - Air temperature and relative humidity are measured using Vaisala RH and Temperature Probe, model HMP45C. Probe is covered with a radiation shield. The probe uses a capacitive polymer H chip to measure RH and a PRT to measure temperature. (http://www.campbellsci.com/hmp45c-l) 4. Barometer at 1.5 m above the roof surface - Atmospheric pressure is measured by R.M. Young Baro metric Pressure Sensor, model 61205. 5. Rain gauge at 1 m above the roof surface - Precipitation is measured by a R.M. Young Tipping Bucket Rain Gauge, model 52202, which meets the specifications of the World Meteorological Organization (WMO). It is heated for operation in cold temperatures. (http://www.campbellsci.ca/52202) Data File Description: - Data are available as comma-separated, ASCII-encoded files, produced separately for each year. Three files are created for each year, wh ich reflect the time step of measurements: 1. 15-minute files (e.g. MCM_WX_Met_Stn_Met2_2010.csv) are time series of variables, calculated by the data logging software as the average (or sum) value for all 5-second sample measurements within that period. The values reported represent the mean for the preceding 15 minutes. 2*. Hourly files (e.g. MCM_WX_Met_Stn_Met2_2010_Hourly.csv) are aggregated at hourly time steps from the 15-minute files. 3*. Daily files (e.g. MCM_WX_Met_Stn_Met2_2010_ Daily.csv) are aggregated at daily time steps from the 15-minute files. * Note that some variables (e.g. Albedo) are not well-represented by the hourly and daily aggregation. Therefore, it is recommended for the 15-minute files to be used as the bases for further analyses ================================================================ * Descriptions of Variables Year (EST) JulianDay (EST) - Day of year (1-365 or 366) End_Time (HrMn_EST) -ending Hour and Minute of samples used to make average Month (EST) Day (EST) CM3_DownSW_Avg (W/m2) - Mean dow n-welling shortwave radiation CM3_DownSW_Max (W/m2) - Maximum down-welling shortwave radiation CM3_DownSW_Min (W/m2) - Minimum down-welling shortwave radiation CM3_UpSW_Avg (W/m2) - Mean up-welling shortwave radiation CM3_UpSW_Max (W/m2) - Maximum up-welling shortwave radiation CM3_UpSW_Min (W/m2) - Minimum up-welling shortwave radiation CNR1_DownLW_Avg (W/m2) - Mean down-welling longwave radiation CNR1_UpLW_Avg (W/m2) - Mean up-welling longwave radiation CNR1_Temp_Avg (degC) - M ean CNR1 correction temperature (not air temperature) CNR1_NetRad_SW_Avg (W/m2) - Mean net shortwave radiation CNR1_NetRad_LW_Avg (W/m2) - Mean net longwave radiation Albedo_Avg (n/a) - Mean albedo CNR1_DownSW_Avg (W/m2) - Mean down-welling shortwave radiation CNR1_UpSW_Avg (W/m2) - Mean up-welling shortwave radiation CNR1_NetRad_Avg (W/m2) - Mean net radiation PanelTemp_Avg (degC) - Mean datalogger panel temperature (not air temperature) HMP45C_AirTemp_Avg (degC) - Mean air te mperature HMP45C_AirTemp_Max (degC) - Maximum air temperature HMP45C_AirTemp_Min (degC) - Minimum air temperature WindChill_Avg (degC) - Mean wind chill temperature HMP45C_RelHum_Avg (%) - Mean relative humidity HMP45C_RelHum_Max (%) - Maximum relative humidity HMP45C_RelHum_Min (%) - Minimum relative humidity DewPoint_Avg (degC) - Mean Dewpoint temperature VapPres_Avg (kPa) - Mean vapour pressure SatVapPres_Avg (kPa) - Mean saturation vapour pressure Humidex_Avg (degC ) - Mean humidex WindSpd_m/s_Avg (m/s) - Mean wind speed WindDir_Avg (deg) - Mean wind direction WindDir_Std_Avg (deg) - Mean wind direction WindSpd_k/h_Avg (k/h) - Mean wind speed WindDir2_Avg (deg) - Mean wind direction WindDir_Std2_Avg (deg) - Mean wind direction WindSpd_k/h_Max (k/h) - Maximum wind speed WindDir_WindSpd_Max (deg) - Wind direction at maximum wind speed WindSpd_k/h_Min (k/h) - Minimum wind speed WindDir_WindSpd_Min (deg) - Wind direction at mini mum wind speed Pressure_Raw_Avg (kPa) - Mean barometric pressure (uncorrected) Pressure (kPa) - Mean barometric pressure (corrected) Pressure_Max (kPa) - Maximum barometric pressure Pressure_Min (kPa) - Minimum barometric pressure Precipitation_Sum (mm) - Summed precipitation CertificationCode (n/a) - RevisionDate (YYYYMMDD) - Last date of update

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.584
Threshold uncertainty score0.837

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.008
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1860.099

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.052
GPT teacher head0.312
Teacher spread0.260 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreDataset

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2014
Admission routes2
Has abstractyes

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