Lightning Stroke Counts on ECMWF Era Interim Grid - Revision history

P.petrelli at 03:53, 2 May 2019

2019-05-02T03:53:53Z

P.petrelli: Protected "Lightning Stroke Counts on ECMWF Era Interim Grid" ([Edit=Allow only administrators] (indefinite) [Move=Allow only administrators] (indefinite))

2019-03-25T01:55:16Z

Protected "Lightning Stroke Counts on ECMWF Era Interim Grid" ([Edit=Allow only administrators] (indefinite) [Move=Allow only administrators] (indefinite))

P.petrelli at 04:52, 18 March 2019

2019-03-18T04:52:40Z

P.petrelli at 04:52, 18 March 2019

2019-03-18T04:52:15Z

Rossbunn: Imported from Wikispaces

2016-02-26T01:42:41Z

Imported from Wikispaces

New page

==='''DESCRIPTION :'''===
This dataset was created by Ross Bunn using gpats_gridded_per_year_month.py (see "Data Location" for python script).
Global Position and Tracking System or GPATS is a commercial lightning detection system, using ground-based Very Low Frequency sensors across Australia to accurately detect stroke times, and Time Difference of Arrival methods to calculate locations. On the ECMWF Era Interim Grid (lon res=0.75deg, lat res= 0.75deg), (or user defined grid) over an Australian domain (-45.0 to -9.75, 109.5E to 160.5E) and within each 1 hour period per UTC day, the python 2.7 function histogram2d from module numpy has been used to create four strokecount variable arrays. Histogram2d counts the number of scattered GPATS strokes occurring within each gridbox. GPATS data from 200803 - 201510 have been extracted from the Bureau of Meteorology adam_prd database. Stroke count times are from minus one hour to the specified time in UTC.

'''Update (25 Feb 2016)''' - A few data gaps exist in this dataset 1 hour to 1 week in size. An analysis identifying where these gaps are is ongoing. Efforts to fill these gaps will be started soon. 

**Principal Investigator / Researcher''' Ross Bunn

**Project Data Contact''' Ross Bunn, ross.bunn@monash.edu | Dr Hamish Ramsay, 03 99024213, hamish.ramsay@monash.edu

**ATTRIBUTION:''' This gridded lightning dataset was created using lightning strike locations and times from GlobalPosition and Tracking System (GPATS, [[http://www.gpats.com.au]]).

**DATA LOCATION:'''
/g/data1/ua8/Lightning_Grid_EraInt/

'''PROJECT''': ua8 [https://my.nci.org.au/mancini/login?next=/mancini/project/ | (register here)]

**CREATED BY''': Ross Bunn on 8/01/2016

**EXTRACTED''' from the Bureau of Meteorology's ADAMPrd Database.

**TIME PERIOD''': 1 Mar 2008 - 31 Oct 2015

**VARIABLES''':
LAT (degrees north)
LON (degrees east)
TIME (UTC - lightning counted between TIME-1hr and TIME )
CLOUD_GROUND (dimensionless - number of strokes with negative current polarity per Era Interim grid box)
GROUND_CLOUD (dimensionless - number of strokes with positive current polarity per Era Interim grid box)
INTRA_CLOUD (dimensionless - number of strokes with zero current polarity per Era Interim grid box)
TOTAL (dimensionless - total number of strokes per Era Interim grid box)

**DATA FORMAT''': netCDF, times are in UTC

← Older revision		Revision as of 03:53, 2 May 2019
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	**DATA FORMAT''': netCDF, times are in UTC'''		**DATA FORMAT''': netCDF, times are in UTC'''

−	[[Category:Dataset]]	+
		+
		+	[[Category:Dataset]][[Category:Clex-managed-data]]

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 === {{Template:Needs Update}} ===
-=== This dataset was created by Ross Bunn using gpats_gridded_per_year_month.py (see "Data Location" for python script). <span style="line-height: 1.5;">Global Position and Tracking System or GPATS is a commercial lightning detection system, using ground-based Very Low Frequency sensors across Australia to accurately detect stroke times, and Time Difference of Arrival methods to calculate locations. On the ECMWF Era Interim Grid (lon res=0.75deg, lat res= 0.75deg), (or user defined grid) over an Australian domain (-45.0 to -9.75, 109.5E to 160.5E) and within each 1 hour period per UTC day, the python 2.7 function histogram2d from module numpy has been used to create four strokecount variable arrays. Histogram2d counts the number of scattered GPATS strokes occurring within each gridbox. GPATS data from 200803 - 201510 have been extracted from the Bureau of Meteorology adam_prd database. Stroke count times are from minus one hour to the specified time in UTC.</span> ===
+<span style="font-family:Arial,Helvetica,sans-serif;">This dataset was created by Ross Bunn using gpats_gridded_per_year_month.py (see "Data Location" for python script). <span style="line-height: 1.5;">Global Position and Tracking System or GPATS is a commercial lightning detection system, using ground-based Very Low Frequency sensors across Australia to accurately detect stroke times, and Time Difference of Arrival methods to calculate locations. On the ECMWF Era Interim Grid (lon res=0.75deg, lat res= 0.75deg), (or user defined grid) over an Australian domain (-45.0 to -9.75, 109.5E to 160.5E) and within each 1 hour period per UTC day, the python 2.7 function histogram2d from module numpy has been used to create four strokecount variable arrays. Histogram2d counts the number of scattered GPATS strokes occurring within each gridbox. GPATS data from 200803 - 201510 have been extracted from the Bureau of Meteorology adam_prd database. Stroke count times are from minus one hour to the specified time in UTC.</span></span>
 <span style="line-height: 1.5;">'''Update (25 Feb 2016)''' - A few data gaps exist in this dataset 1 hour to 1 week in size. An analysis identifying where these gaps are is ongoing. Efforts to fill these gaps will be started soon.</span>

← Older revision	Revision as of 01:55, 25 March 2019
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-<span style="line-height: 1.5;">'''Update (25 Feb 2016)''' - A few data gaps exist in this dataset 1 hour to 1 week in size. An analysis identifying where these gaps are is ongoing. Efforts to fill these gaps will be started soon. </span>
+=== {{Template:Needs Update}} ===
-**Principal Investigator / Researcher''' Ross Bunn
+=== This dataset was created by Ross Bunn using gpats_gridded_per_year_month.py (see "Data Location" for python script). <span style="line-height: 1.5;">Global Position and Tracking System or GPATS is a commercial lightning detection system, using ground-based Very Low Frequency sensors across Australia to accurately detect stroke times, and Time Difference of Arrival methods to calculate locations. On the ECMWF Era Interim Grid (lon res=0.75deg, lat res= 0.75deg), (or user defined grid) over an Australian domain (-45.0 to -9.75, 109.5E to 160.5E) and within each 1 hour period per UTC day, the python 2.7 function histogram2d from module numpy has been used to create four strokecount variable arrays. Histogram2d counts the number of scattered GPATS strokes occurring within each gridbox. GPATS data from 200803 - 201510 have been extracted from the Bureau of Meteorology adam_prd database. Stroke count times are from minus one hour to the specified time in UTC.</span> ===
-**Project Data Contact''' Ross Bunn, ross.bunn@monash.edu | Dr Hamish Ramsay, 03 99024213, hamish.ramsay@monash.edu
+<span style="line-height: 1.5;">'''Update (25 Feb 2016)''' - A few data gaps exist in this dataset 1 hour to 1 week in size. An analysis identifying where these gaps are is ongoing. Efforts to fill these gaps will be started soon.</span>
 **ATTRIBUTION:''' This gridded lightning dataset was created using lightning strike locations and times from GlobalPosition and Tracking System (GPATS, [[http://www.gpats.com.au]]).
 <span style="background-color: #ffffff; font-family: Calibri,sans-serif; font-size: 14px;">/</span><span style="background-color: #ffffff; font-family: Calibri; font-size: 14px;">g/data1/ua8/Lightning_Grid_EraInt/</span>
 <span style="background-color: #ffffff; font-family: Calibri; font-size: 14px;">'''PROJECT''': ua8 [https://my.nci.org.au/mancini/login?next=/mancini/project/ | (register here)]</span>
 **CREATED BY''': Ross Bunn on 8/01/2016
-**EXTRACTED''' from the Bureau of Meteorology's ADAMPrd Database.
-**TIME PERIOD''': 1 Mar 2008 - 31 Oct 2015
+LAT (degrees north) LON (degrees east) TIME (UTC - lightning counted between TIME-1hr and TIME ) CLOUD_GROUND (dimensionless - number of strokes with negative current polarity per Era Interim grid box) GROUND_CLOUD (dimensionless - number of strokes with positive current polarity per Era Interim grid box) INTRA_CLOUD (dimensionless - number of strokes with zero current polarity per Era Interim grid box) TOTAL (dimensionless - total number of strokes per Era Interim grid box)
-**VARIABLES''':
-LAT (degrees north)
+**DATA FORMAT''': netCDF, times are in UTC'''
-**DATA FORMAT''': netCDF, times are in UTC
+[[Category:Dataset]]