Mesonet Automated Land Stations Observations - TO2015 Pan and Parapan American Games

Mesonet Automated Land Stations Observations - TO2015 Pan and Parapan American GamesEnvironment and Climate Change Canada added 40 compact stations, 10 ATMOS stations and 3 standard automated MSC Auto8 stations to the existing networks to form a high-resolution monitoring system across southern Ontario known as the Mesonet. These stations provided both high-density spacing and high-frequency minute-by-minute observations. Standard meteorological variables were reported—atmospheric pressure, wind speed and direction, relative humidity, temperature and precipitation amounts—as well as a new element recorded by a black globe thermometer, used in the evaluation of heat stress on the human body.

The new automated surface weather stations were configured to report every minute, a sharp departure from the standard hourly reporting. The minute-by-minute reporting was successfully implemented at all 53 new automated weather stations in the Mesonet.

All data in these datasets are essentially ‘raw’, having undergone only minimal automated Quality Control (QC) (manual QC of the ATMOS Mesonet data will be posted to the Science Showcase section of the Legacy Archive, when available). The user is referred to an additional Instrumentation Metadata XLS file posted with the Datasets that describes specific data issues that the users must be aware of before using the datasets.

Site photos for all 53 weather stations are available from the Legacy Archive Data Contact.


Metadata

Resources

[ICO]NameLast modifiedSizeDescription
[Parent folder]Parent Directory  - Parent folder
[Comma separated]2015-05-12_--_2015-05-16_Land-surface.csv2021-04-26 03:02 192MComma separated
[Comma separated]2015-05-17_--_2015-05-23_Land-surface.csv2021-04-26 03:01 275MComma separated
[Comma separated]2015-05-24_--_2015-05-30_Land-surface.csv2021-04-26 03:01 279MComma separated
[Comma separated]2015-05-31_Land-surface.csv2021-04-26 03:00 38MComma separated
[Comma separated]2015-06-01_--_2015-06-06_Land-surface.csv2021-04-26 03:02 253MComma separated
[Comma separated]2015-06-07_--_2015-06-13_Land-surface.csv2021-04-26 03:00 288MComma separated
[Comma separated]2015-06-14_--_2015-06-20_Land-surface.csv2021-04-26 03:04 302MComma separated
[Comma separated]2015-06-21_--_2015-06-27_Land-surface.csv2021-04-26 03:01 329MComma separated
[Comma separated]2015-06-28_--_2015-06-30_Land-surface.csv2021-04-26 03:01 144MComma separated
[Comma separated]2015-07-01_--_2015-07-04_Land-surface.csv2021-04-26 03:04 191MComma separated
[Comma separated]2015-07-05_--_2015-07-11_Land-surface.csv2021-04-26 03:03 337MComma separated
[Comma separated]2015-07-12_--_2015-07-18_Land-surface.csv2021-04-26 03:03 340MComma separated
[Comma separated]2015-07-19_--_2015-07-25_Land-surface.csv2021-04-26 03:04 343MComma separated
[Comma separated]2015-07-26_--_2015-07-31_Land-surface.csv2021-04-26 03:03 290MComma separated
[Comma separated]2015-08-01_Land-surface.csv2021-04-26 03:01 47MComma separated
[Comma separated]2015-08-02_--_2015-08-08_Land-surface.csv2021-04-26 03:05 338MComma separated
[Comma separated]2015-08-09_--_2015-08-15_Land-surface.csv2021-04-26 03:02 343MComma separated
[Comma separated]2015-08-16_--_2015-08-22_Land-surface.csv2021-04-26 03:02 343MComma separated
[Comma separated]2015-08-23_--_2015-08-29_Land-surface.csv2021-04-26 03:04 297MComma separated
[Comma separated]2015-08-30_--_2015-08-31_Land-surface.csv2021-04-26 03:01 96MComma separated
[   ]3ef755cf-85c4-4617-bf70-f8041b63ac49.xml2021-04-26 03:01 61KUnknown item
[Javascript Object Notation]datapackage.json2021-04-26 03:01 7.5KJavascript Object Notation
[Text file]digest.txt2021-04-26 03:01 374 Text file
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