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Jornada LTER NPP C-CALI meteorological station: 1-second summary precipitation data

General Information
Data Package:
Local Identifier:knb-lter-jrn.210437061.3
Title:Jornada LTER NPP C-CALI meteorological station: 1-second summary precipitation data
Abstract:

1-second summary precipitation data at NPP C-CALI met station. Total precipitation per second is recorded only if there is measurable precipitation. This is recorded at an automated meteorological station installed at Jornada LTER NPP C-CALI site.. This climate station is operated by the Jornada LTER Program.

Publication Date:2019

Time Period
Begin:
2013-07-24
End:
2019-05-12

People and Organizations
Contact:Manager, Data (JRN-LTER Information Manager) [  email ]
Creator:Anderson, John (JRN LTER, Research Site Manager)

Data Entities
Data Table Name:
data
Description:
Main data table from Jornada LTER NPP C-CALI meteorological station: 1-second summary precipitation data
Detailed Metadata

Data Entities

Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-jrn/210437061/3/8d777f385d3dfec8815d20f7496026dc
Name:data
Description:Main data table from Jornada LTER NPP C-CALI meteorological station: 1-second summary precipitation data
Number of Columns:9
Methods and protocols used in the collection of this data package
Description:

Data processing using the GCE Data Toolbox for MATLAB

Software:
Title:GCE Data Toolbox for MATLAB

Author(s):

Organization:Georgia Coastal Ecosystems LTER
Email Address:
gcelter@uga.edu
Abstract:

The GCE Data Toolbox is a comprehensive library of functions for metadata-based analysis quality control, transformation and management of ecological data sets. The toolbox is based on the GCE Data Structure, a MATLAB specification for storing tabular data along with all information required to interpret the data and generate formatted metadata (documentation). Metadata fields in the structure are queried by toolbox functions for all operations, allowing functions to process and format values appropriately based on the type of information they represent. This semantic processing approach supports highly automated and intelligent data analysis and ensures data set validity throughout all processing steps.

Implementation Info:
Distribution:
Url:https://gce-svn.marsci.uga.edu/trac/GCE_Toolbox
Version Number:Toolbox Version 3.9.9b (06-Mar-2019)
Substep 1 
Description:

20-May-2019 17:41:05: new GCE Data Structure 1.1 created ('newstruct')

Substep 2 
Description:

20-May-2019 17:41:05: 16882 rows imported from ASCII data file 'npp_cr1000_c-cali_ppt_detailed.dat' ('imp_ascii')

Substep 3 
Description:

20-May-2019 17:41:05: 4 metadata fields in file header parsed ('parse_header')

Substep 4 
Description:

20-May-2019 17:41:05: data descriptor metadata updated based on the template 'npp_CR1000_C-CALI_Ppt_Detailed' ('meta_template')

Substep 5 
Description:

20-May-2019 17:41:05: data structure validated ('gce_valid')

Substep 6 
Description:

20-May-2019 17:41:05: Q/C flagging criteria applied, 'flags' field updated ('dataflag')

Substep 7 
Description:

20-May-2019 17:41:06: automatically assigned study date metadata descriptors based on the range of date values in date/time columns (add_studydates)

Substep 8 
Description:

20-May-2019 17:41:06: converted dates in column(s) Date to format MATLAB serial date

Substep 9 
Description:

20-May-2019 17:41:06: sorted by column Date(ascending) ('sortdata')

Substep 10 
Description:

20-May-2019 17:41:06: removed 1411 row(s) with duplicate values in the column(s) Date ('cleardupes')

Substep 11 
Description:

20-May-2019 17:41:07: documented flagged and missing values in column Ppt_mm_Tot as data set anomalies in the metadata ('add_anomalies')

Substep 12 
Description:

20-May-2019 17:41:07: added calculated Year, YearDay and Hours columns based on date/time information in the data structure ('add_year_yearday_hours')

Substep 13 
Description:

20-May-2019 17:41:08: converted dates in column(s) Date to format dd-mmm-yyyy HH:MM:SS

Substep 14 
Description:

20-May-2019 17:42:41: Data approved from row 1 () to 15471 (12-May-2019 17:15:46)

Substep 15 
Description:

22-May-2019 17:19:17: converted dates in column(s) Date to format yyyy-mm-dd HH:MM:SS

Substep 16 
Description:

03-Jun-2019 16:35:48: flags for columns RECORD and Ppt_mm_Tot converted to data columns, flag codes updated in metadata ('flags2cols')

Substep 17 
Description:

03-Jun-2019 16:35:48: deleted columns Flag_RECORD and Flag_Ppt_mm_Tot from the structure ('deletecols')

Substep 18 
Description:

03-Jun-2019 16:35:48: flags for columns RECORD and Ppt_mm_Tot converted to data columns, flag codes updated in metadata ('flags2cols')

Substep 19 
Description:

03-Jun-2019 16:35:49: automatically assigned study date metadata descriptors based on the range of date values in date/time columns (add_studydates)

Substep 20 
Description:

03-Jun-2019 16:35:49: converted dates in column(s) Hours to format yyyy-mm-dd HH:MM:SS

Quality Control
Quality Control Step 1: 
Description:

Quality control analysis was performed using the GCE Data Toolbox for MATLAB software. Column data types are validated upon importing the table into MATLAB, and qualifier flags are automatically generated for data values based on QA/QC criteria for each data column pre-defined in metadata templates (e.g. value range checks, sanity checks, pattern checks). Automatically-assigned qualifier flags are reviewed graphically and revised or augmented as deemed appropriate by GCE information management staff, based on metadata information from the contributor, values of other measured variables, or statistical tests. Qualifier flags are also assigned to values that are imputed or derived, revised, or otherwise differ from values in the original data submission. A column of coded qualifier flags is generated and included in the data table if flags are assigned to any value in a data column.

Data anomalies: The value of one record in Ppt_mm_Tot was flagged as Q (questionable value) for date 12/18/2018.


Table Structure
Object Name:knb-lter-jrn.210437061.3.csv
Size:1063580 byte
Character Encoding:ASCII
Text Format:
Number of Header Lines:5
Number of Foot Lines:0
Record Delimiter:\r\n
Line Number For One Record:1
Orientation:column
Simple Delimited:
Field Delimiter:,
Quote Character:"

Table Column Descriptions
 
Column Name:Date  
Year  
YearDay  
Hours  
RECORD  
Flag_RECORD  
Sitename  
Ppt_mm_Tot  
Flag_Ppt_mm_Tot  
Definition:Date and time of observationCalendar yearNumerical year day (day number within the current year)Time of day in fractional hoursRecord number generated by datalogger programQA/QC flags for Record number generated by datalogger program (flagging criteria, where "x" is RECORD: x<0="I")Site identifierPrecipitation: 1 second Total during precipitation eventQA/QC flags for Precipitation: 1 second Total during precipitation event (flagging criteria, where "x" is Ppt_mm_Tot: x<0.1="I", x==0.2="Q", x>0.2="I")
Storage Type:string  
integer  
integer  
string  
integer  
string  
integer  
floating-point  
string  
Measurement Type:dateTimeintervalintervaldateTimeratioordinalordinalratioordinal
Measurement Values Domain:
FormatYYYY-MM-DD hh:mm:ss
Precision
UnitnominalYear
Precision1
Typereal
UnitnominalYear
Precision1
Typereal
Min1 
Max366 
FormatYYYY-MM-DD hh:mm:ss
Precision
Unitnone
Precision1
Typereal
Min0 
Max
DefinitionQA/QC flags for Record number generated by datalogger program (flagging criteria, where "x" is RECORD: x<0="I")
DefinitionSite identifier
Unitmillimeter
Precision0.1
Typereal
Min0.1 
Max0.2 
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeQ
Definitionquestionable value
Source
Missing Value Code:  
CodeNaN
Explvalue not recorded or censored based on quality control analysis (see methods)
CodeNaN
Explvalue not recorded or censored based on quality control analysis (see methods)
  
CodeNaN
Explvalue not recorded or censored based on quality control analysis (see methods)
    
CodeNaN
Explvalue not recorded or censored based on quality control analysis (see methods)
  
Accuracy Report:                  
Accuracy Assessment:                  
Coverage:                  
Methods:                  

Data Package Usage Rights

Following academic courtesy standards, the Jornada LTER site should be fully acknowledged in any subsequent publications in which any part of this dataset is used.

Keywords

By Thesaurus:
(No thesaurus)c-cali, climate, meteorology, npp site, precipitation, study 437

Methods and Protocols

These methods, instrumentation and/or protocols apply to all data in this dataset:

Methods and protocols used in the collection of this data package
Description:

Summary: A met station consisting of a 3-meter mast is installed in the 5-meter buffer zone on one side of the 70-meter x 70-meter NPP site in association with a pair of neutron probe access tubes. Air temperature, relative humidity, wind direction and wind speed sensors are mounted on the mast. A vertical wind profile is measured at most sites with anemometers at 0.75m, 1.5m and 3m on the mast. A single anemometer is installed at 3m height at P-COLL and P-SMAL NPP sites due to flooding potential at lower heights. Upward and downward facing pyranometers are installed at 5 sites, 1 for each of the major vegetation zones.

Instrument(s):Rain Gauge; Manufacturer: Qualimetrics. (Model: 6011-B Tipping Bucket Rain Gauge); Parameter: Precipitation (Accuracy: 0.5% at <0.5 in/hr)
Description:

Method - Sensor readings are taken at 1 second intervals by a Campbell Scientific Instruments (CSI) CR1000 data logger and converted from analog voltage to calibrated digital data, if necessary, by the CR1000 data logger program (e.g., C-Cali_CR1000_20150925.cr1). Average air temperature, wind speed and wind direction, and standard deviation of wind direction are calculated by the CR1000 datalogger program and stored in tables in the datalogger storage module at intervals of 5 minutes. Data are downloaded hourly from each remote site via a 900 MHz spread spectrum wireless radio network using CSI LoggerNet software. The data are parsed, quality-checked, documented and archived in the JRN-LTER Information Management office using data retrieval and parsing functions in the GCE Data Toolbox for MATLAB (https://gce-lter.marsci.uga.edu/lter/research/tools/data_toolbox.htm).

Sampling Area and Study Extent
Sampling Description:

Sensor readings are taken at 1 second intervals and aggregated into 5, 30, and 60 minute, and daily data tables.

Sampling Extent:

Time Period
Begin:
2013-07-24
End:
2019-05-12
Sampling Extent:
Geographic Region:
Description:lter-jrn-met-cc -- NPP C-CALI site. High resolution location is available to researchers from the JRN LTER information manager upon request.
Bounding Coordinates:
Northern:  32.669000Southern:  32.488000
Western:  -106.865000Eastern:  -106.713000

These methods, instrumentation, and/or protocols apply to the data table data:

Methods and protocols used in the collection of this data package
Description:

Data processing using the GCE Data Toolbox for MATLAB

Software:
Title:GCE Data Toolbox for MATLAB

Author(s):

Organization:Georgia Coastal Ecosystems LTER
Email Address:
gcelter@uga.edu
Abstract:

The GCE Data Toolbox is a comprehensive library of functions for metadata-based analysis quality control, transformation and management of ecological data sets. The toolbox is based on the GCE Data Structure, a MATLAB specification for storing tabular data along with all information required to interpret the data and generate formatted metadata (documentation). Metadata fields in the structure are queried by toolbox functions for all operations, allowing functions to process and format values appropriately based on the type of information they represent. This semantic processing approach supports highly automated and intelligent data analysis and ensures data set validity throughout all processing steps.

Implementation Info:
Distribution:
Url:https://gce-svn.marsci.uga.edu/trac/GCE_Toolbox
Version Number:Toolbox Version 3.9.9b (06-Mar-2019)
Substep 1 
Description:

20-May-2019 17:41:05: new GCE Data Structure 1.1 created ('newstruct')

Substep 2 
Description:

20-May-2019 17:41:05: 16882 rows imported from ASCII data file 'npp_cr1000_c-cali_ppt_detailed.dat' ('imp_ascii')

Substep 3 
Description:

20-May-2019 17:41:05: 4 metadata fields in file header parsed ('parse_header')

Substep 4 
Description:

20-May-2019 17:41:05: data descriptor metadata updated based on the template 'npp_CR1000_C-CALI_Ppt_Detailed' ('meta_template')

Substep 5 
Description:

20-May-2019 17:41:05: data structure validated ('gce_valid')

Substep 6 
Description:

20-May-2019 17:41:05: Q/C flagging criteria applied, 'flags' field updated ('dataflag')

Substep 7 
Description:

20-May-2019 17:41:06: automatically assigned study date metadata descriptors based on the range of date values in date/time columns (add_studydates)

Substep 8 
Description:

20-May-2019 17:41:06: converted dates in column(s) Date to format MATLAB serial date

Substep 9 
Description:

20-May-2019 17:41:06: sorted by column Date(ascending) ('sortdata')

Substep 10 
Description:

20-May-2019 17:41:06: removed 1411 row(s) with duplicate values in the column(s) Date ('cleardupes')

Substep 11 
Description:

20-May-2019 17:41:07: documented flagged and missing values in column Ppt_mm_Tot as data set anomalies in the metadata ('add_anomalies')

Substep 12 
Description:

20-May-2019 17:41:07: added calculated Year, YearDay and Hours columns based on date/time information in the data structure ('add_year_yearday_hours')

Substep 13 
Description:

20-May-2019 17:41:08: converted dates in column(s) Date to format dd-mmm-yyyy HH:MM:SS

Substep 14 
Description:

20-May-2019 17:42:41: Data approved from row 1 () to 15471 (12-May-2019 17:15:46)

Substep 15 
Description:

22-May-2019 17:19:17: converted dates in column(s) Date to format yyyy-mm-dd HH:MM:SS

Substep 16 
Description:

03-Jun-2019 16:35:48: flags for columns RECORD and Ppt_mm_Tot converted to data columns, flag codes updated in metadata ('flags2cols')

Substep 17 
Description:

03-Jun-2019 16:35:48: deleted columns Flag_RECORD and Flag_Ppt_mm_Tot from the structure ('deletecols')

Substep 18 
Description:

03-Jun-2019 16:35:48: flags for columns RECORD and Ppt_mm_Tot converted to data columns, flag codes updated in metadata ('flags2cols')

Substep 19 
Description:

03-Jun-2019 16:35:49: automatically assigned study date metadata descriptors based on the range of date values in date/time columns (add_studydates)

Substep 20 
Description:

03-Jun-2019 16:35:49: converted dates in column(s) Hours to format yyyy-mm-dd HH:MM:SS

Quality Control
Quality Control Step 1: 
Description:

Quality control analysis was performed using the GCE Data Toolbox for MATLAB software. Column data types are validated upon importing the table into MATLAB, and qualifier flags are automatically generated for data values based on QA/QC criteria for each data column pre-defined in metadata templates (e.g. value range checks, sanity checks, pattern checks). Automatically-assigned qualifier flags are reviewed graphically and revised or augmented as deemed appropriate by GCE information management staff, based on metadata information from the contributor, values of other measured variables, or statistical tests. Qualifier flags are also assigned to values that are imputed or derived, revised, or otherwise differ from values in the original data submission. A column of coded qualifier flags is generated and included in the data table if flags are assigned to any value in a data column.

Data anomalies: The value of one record in Ppt_mm_Tot was flagged as Q (questionable value) for date 12/18/2018.

People and Organizations

Publishers:
Organization:NPP site instrumentation on a wireless network (Study 437)
Creators:
Individual: John Anderson
Organization:JRN LTER
Position:Research Site Manager
Address:
Jornada Experimental Range, P.O. Box 30003, MSC 3JER, NMSU,
Las Cruces, NM 88003-8003
Email Address:
janderso@jornada-vmail.nmsu.edu
Contacts:
Individual: Data Manager
Position:JRN-LTER Information Manager
Address:
Jornada Experimental Range, P.O. Box 30003, MSC 3JER, New Mexico State University, Las Cruces, NM,
88003-8003
Email Address:
dataManager@jornada-vmail.nmsu.edu

Temporal, Geographic and Taxonomic Coverage

Temporal, Geographic and/or Taxonomic information that applies to all data in this dataset:

Time Period
Begin:
2013-07-24
End:
2019-05-12
Geographic Region:
Description:Overall bounding box describing the study region
Bounding Coordinates:
Northern:  32.669000Southern:  32.488000
Western:  -106.865000Eastern:  -106.713000

Project

Parent Project Information:

Title:NPP site instrumentation on a wireless network (Study 437)
Personnel:
Individual: John Anderson
Organization:JRN LTER
Position:Research Site Manager
Address:
Jornada Experimental Range, P.O. Box 30003, MSC 3JER, NMSU,
Las Cruces, NM 88003-8003
Email Address:
janderso@jornada-vmail.nmsu.edu
Role:project leader
Abstract:

Collection of baseline climate data at Jornada LTER NPP sites, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program. Measurements are aggregated at intervals of 5, 30, and 60 minutes and daily with precipitation additionally with 1-second aggregation during precipitation events. Data are downloaded hourly from each remote site via a 900 MHz spread spectrum wireless radio network. The met station variables measured include air temperature, precipitation, relative humidity, wind direction, wind speed. Solar and barometric pressure are measured at a subset of sites.

Funding:

Funded by Jornada LTER program

Other Metadata

Additional Metadata

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