Dataset

Masig Island Rain From 26 Jul 2013

Australian Institute of Marine Science
509 linked Records:
Australian Institute of Marine Science (AIMS)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25845/5c09bf93f315d&rft.title=Masig Island Rain From 26 Jul 2013&rft.identifier=https://doi.org/10.25845/5c09bf93f315d&rft.publisher=Australian Institute of Marine Science (AIMS)&rft.description=This data set was collected by weather sensors deployed on the NERP Weather Station site Masig Island.\nData from AIMS weather stations are subjected to two quality control processes. \nThe first quality control process involves applying automatic rules to the raw data to flag data points that are unlikely to be correct. These rules flag: \n- Values frequently associated with sensors which are faulty, in need of a service or are not working properly. \n- Values outside believable ranges. \n- Values that are out of range compared to other nearby stations. \nThe second quality control process involves manual visualisation of all data. Data from all sensors are individually graphed and compared to sensors on the same station (e.g. water temperature 1 and water temperature 2), calibrated temperature loggers, predicted values (e.g. PAR) or compared to sensors from nearby stations (including Bureau of Meteorology stations in the case of barometric pressure, wind speed and direction). After these processes have been applied the data can be categorised in the following three levels. \nLevel 0: Raw unprocessed data as received from the AWS. This data has had no quality control process applied to it. \nLevel 1: Level 1 data has had all suspect data points removed but no suspect data points are corrected. \nLevel 2: Level 2 data has had all suspect data points that were removed in Level 1 corrected where possible. \nData from all three levels can be accessed from the AIMS weather station web site.\n&rft.creator=Australian Institute of Marine Science (AIMS) &rft.date=2020&rft.coverage=northlimit=-9.76; southlimit=-9.76; westlimit=143.4; eastLimit=143.4&rft.coverage=northlimit=-9.76; southlimit=-9.76; westlimit=143.4; eastLimit=143.4&rft_rights=Attribution 3.0 Australia http://creativecommons.org/licenses/by/3.0/au/&rft_rights=Format for citation of metadata sourced from Australian Institute of Marine Science (AIMS) in a list of reference is as follows: Australian Institute of Marine Science (AIMS). (2020), Masig Island Rain From 26 Jul 2013, https://doi.org/10.25845/5c09bf93f315d, accessed[date-of-access].&rft_subject=oceans&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

Open Licence view details
CC-BY

Attribution 3.0 Australia
http://creativecommons.org/licenses/by/3.0/au/

Format for citation of metadata sourced from Australian Institute of Marine Science (AIMS) in a list of reference is as follows: "Australian Institute of Marine Science (AIMS). (2020), Masig Island Rain From 26 Jul 2013, https://doi.org/10.25845/5c09bf93f315d, accessed[date-of-access]".

Access:

Open

Contact Information



Brief description

This data set was collected by weather sensors deployed on the NERP Weather Station site Masig Island.\n

Notes

Australian Institute of Marine Science (AIMS)
Tropical Ecosystems hub of the National Environmental Research Program (NERP)
Torres Strait Regional Authority (TSRA)
Torres Strait Regional Authority

Lineage

Data from AIMS weather stations are subjected to two quality control processes. \nThe first quality control process involves applying automatic rules to the raw data to flag data points that are unlikely to be correct. These rules flag: \n- Values frequently associated with sensors which are faulty, in need of a service or are not working properly. \n- Values outside believable ranges. \n- Values that are out of range compared to other nearby stations. \nThe second quality control process involves manual visualisation of all data. Data from all sensors are individually graphed and compared to sensors on the same station (e.g. water temperature 1 and water temperature 2), calibrated temperature loggers, predicted values (e.g. PAR) or compared to sensors from nearby stations (including Bureau of Meteorology stations in the case of barometric pressure, wind speed and direction). After these processes have been applied the data can be categorised in the following three levels. \nLevel 0: Raw unprocessed data as received from the AWS. This data has had no quality control process applied to it. \nLevel 1: Level 1 data has had all suspect data points removed but no suspect data points are corrected. \nLevel 2: Level 2 data has had all suspect data points that were removed in Level 1 corrected where possible. \nData from all three levels can be accessed from the AIMS weather station web site.\n

Modified: 20200429

Data time period: 2013-07-26

This dataset is part of a larger collection

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143.4,-9.76

143.4,-9.76

text: northlimit=-9.76; southlimit=-9.76; westlimit=143.4; eastLimit=143.4

Subjects
oceans |

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