LIS/OTD 2.5 Degree Low Resolution Time Series (LRTS)
1. Name
LIS/OTD 2.5 Degree Low Resolution Time Series
v2.2
The product is a 2.5 deg x 2.5 deg gridded composite of daily time-series of total (IC+CG) lightning bulk production, expressed as a flash rate density (fl/km2/day). Separate gridded time series from the 5-yr OTD (4/95-3/00) and 8-yr LIS (1/98-12/05) missions are included, as well as a combined OTD+LIS product. Lowpass temporal filtering (110-day for OTD, 98-day for LIS, 110-day for combined) and spatial moving average filtering (7.5 deg) have been applied, as well as best-available detection efficiency corrections and instrument cross-normalizations, as of the product generation date (9/01/06).
4. Format
The product is distributed in HDF (Hierarchical Data Format). HDF is accessible from C or Fortran using interfaces provided by NCSA (http://hdf.ncsa.uiuc.edu), or through various commercial software packages, such as IDL or Noesys (http://www.rsinc.com). All data in this product are stored in HDF Scientific Data Sets. Note that inline (HDF internal) GZIP compression has been applied. Users should verify that their NCSA HDF library distribution or third-party software application versions are current enough to transparently decompress inline-compressed HDF grids.
5. Citation and Acknowledgements
The v2.2 gridded time series satellite lightning data were produced by the NASA LIS/OTD Science Team (Principal Investigator, Dr. Hugh J. Christian, NASA / Marshall Space Flight Center) and are available from the Global Hydrology Resource Center (http://ghrc.msfc.nasa.gov).
6. Long Description
Bulk lightning production, expressed in fl/km2/day, is calculated as a “counting experiment”. The calculation procedure is as follows:
For each day of each mission, the viewing of each sensor is recorded (in km2 sec) on a 0.5 deg grid. The number of flashes observed by each sensor, weighted by the inverse of the instantaneous instrument detection efficiency [see below] is also recorded on a 0.5 deg grid. These daily high resolution grids are generated for each day from 5/4/95 – 2/28/0 “Combined” grids are generated for each day by adding the flash totals and viewtime totals for each mission. The “combined” grids only contain joint data from 12/97-04/00. A boxcar moving average of duration [110, 110, 98] days is applied to the flash and viewtime grids for the [combined, OTD, LIS] products, respectively. This reduces aliasing of the local diurnal cycle due to precession of the instruments’ host platform orbits, which would otherwise fatally bias the time series with spurious high frequency signals. A window of 110 days is used for the combined product since the OTD sampling dominates over LIS (4x greater). The data are resampled at 2.5 deg resolution to limit product size. Each 2.5 deg daily grid cell value is thus the average of 25 0.5 deg grid cell values over +/- [55, 55 or 49] days. A further spatial moving average of +/- 1 2.5 deg grid cell (7.5 deg total) is applied to reduce sample variance 2.5 deg flash rate estimates are calculated as weighted flash sums divided by total viewing time. A further lowpass filter with cutoff [110, 110, 98] days is applied to each map location’s time series in order to eliminate residual high frequency noise. The results of step 7 occasionally introduce negative flash rates into the time series, typically near the beginning/end of the missions, the “top” and “bottom” of orbits, and in very low lightning production regions (cold ocean gyres, deserts) or regions with extreme seasonality. These are reset to “0” flash rate.The final products are thus daily, 2.5 deg resolution maps of estimated flash rate density, whose estimates contain 7.5 deg spatial moving average and [110, 110 or 98] day lowpass filtered observations (approximately 3-month windows). Due to LEO instrument undersampling, instrument and/or host platform operational dropouts, etc., higher spatial or temporal resolution can not yet be recommended to users for quantitative analysis.
The grids contain 4018 daily maps, one for each day from 1/1/95 to 12/31/05. Note that grids prior to the start of the OTD mission and after 12/31/05 are included for simplicity, but are empty or contain data using less than a [110 or 98] day sample. The recommended start/end dates (daily grid indices) of useful data are listed in section 10.
- Contents
The HDF file contains 7 Scientific Data Set (SDS) grids compressed internally (and transparently) using GZIP lossless compression. These include:
LRTS_COM_FR Combined Flash Rate [3287x144x72, float, fl/km2/dy]LRTS_OTD_FR OTD-only flash rate [3287x144x72, float, fl/km2/dy]LRTS_LIS_FR LIS-only Flash Rate [3287x144x72, float, fl/km2/dy]LRTS_COM_VT Combined Viewing [3287x144x72, float, km2 dy]LRTS_OTD_VT OTD-only Viewing [3287x144x72, float, km2 dy]LRTS_LIS_VT LIS-only Viewing [3287x144x72, float, km2 dy]LRTS_AREA Grid cell areas [144x72, km2]The LRTS_xxx_FR products are the primary data products. The LRTS_xxx_VT products are included for user reference to demonstrate the variable instrument viewing; users are encouraged to review these grids to understand the relative variability in the input data sampling. The LRTS_AREA product is included for convenience.
7. Calibration
Best-available calibrations for instrument detection efficiency (as of 9/1/06) have been applied in the v2.2 product, as a function of mission date, local time of day, and location relative to the South Atlantic Anomaly. These are documented in Boccippio et al, 2002 and Christian et al, 2003, and summarized in the documentation for the High Resolution Full Climatology (LISOTD_HRFC) product, also available from the GHRC. The HRFC product also contains the spatially and temporally variant detection efficiency grids applied to the LRTS data.Users wishing to cite this calibration procedure may use or modify the following:Observations in the LIS/OTD v2.2 time series gridded products have been corrected by the LIS Science Team by estimated flash detection efficiency, applied as a function of sensor, local hour, date of mission, and (for the OTD) geographic location. For the entire dataset, these corrections correspond to average flash detection efficiencies of 47% (OTD) and 82% (LIS). The adjustments derive from a combination of laboratory calibration, ground-validation and cross-normalization between the two instruments. Uncertainty in these corrections is estimated as +/-10%. The calibration procedure is described in the dataset documentation. The gridded time series products additionally have been averaged spatially (7.5 deg, at 2.5 deg resolution) and temporally ([select 110 or 98 days as appropriate] low pass filters have been applied).
8. Uncertainty
Consistency between modeled and ground-validated detection efficiency suggests that the applied corrections are know within about +/- 10%. This is thus the minimum uncertainty in the gridded data, arising from possible bias in the correction. A much higher source of uncertainty in the time series products is undersampling of a given grid location, even with the severe spatial and temporal averaging that has been applied. Intercomparison of OTD and LIS time series during the missions’ overlap window readily illustrates this undersampling effect. It is not yet known if the total uncertainty in the time series products will preclude quantitative use of the data. However, qualitative interannual variability has been observed [e.g., Goodman et al, 2000] which appears consistent with known ENSO effects on local meteorology.
9. Quality Assurance
All OTD and LIS orbits undergo both automated and manual quality assurance. For the preliminary reanalysis, the most stringent orbit rejection criterion was applied: any orbit which was assigned a manual Q/A “warning” flag has been rejected from the reanalysis.Each OTD flash is further assigned an automated quality index (the ‘Thunderstorm Area Count’ or ‘Density Index’), indicating its likelihood of being lightning rather than optical or radiation noise. For this reanalysis, only flashes with values of the metric >= 140 have been included. This is the same cutoff value used in all validation and science analysis published by the LIS science team to date. This filter removes most radiation noise from the data; a slight residual “ring” artefact of very low spurious flash rates remains at the periphery of the South Atlantic Anomaly (southeast Pacific and southeast Atlantic).
10. Recommended Usage
There are no restrictions on the use of these data.
PLEASE NOTE that these grids do not answer the question “what lightning occurred on a given day” (see “Approach”, above). Instantaneous lightning occurrence can be derived from the OTD and LIS mission online browse images and interactive flash data extraction tools.
Users desiring “seasonal” estimates should recall that moving averages and lowpass filtering have already been applied to these data, even though the data are recorded as daily grids (there is thus much redundancy in the full resolution data product). A “seasonal” estimate for, e.g., DJF ’95-’96 would thus be the daily grid corresponding to Jan 15, 1996, which would contain data from the previous and following 55 or 49 days (depending on whether the combined, OTD or LIS time series was selected). The daily grid index for this grid would be 379 (indices for 1995 span [0,364]; Jan 1, 1996 would be [365]; Jan 15, 1996 would be [379]. Note that leap days are included in this product (1996 and 2000).
Below is a table of useful daily grid indices. “n/d” indicates no data available. “First data” is the date of the first input daily (unsmoothed) grid for each mission. “First useful” is the “first data” date + 55 days [OTD, combined products] or 49 days [LIS product], i.e., the date of the first useful time-smoothed daily grid. “Last useful” and “last data” are the converse. Grids before “first useful” or after “last useful” should be ignored.
Jan 1
DJF center
MAM center
JJA center
SON center
OTD first data / first useful
OTD last useful / last data
LIS first data / first useful
LIS last useful / last data
1995
n/d(0)
n/d(14)
n/d(104)
195
287
122 / 177
-
n/d
n/d
1996
365
379
470
561
653
-
-
n/d
n/d
1997
731
745
835
926*
1018
-
-
1066
-
1998
1096
1110
1200
1291
1383
-
-
1115
-
1999
1461
1475
1565
1656
1748
-
-
-
-
2000
1826
1840
1931
2022
2114
-
1854 / 1909
-
-
2001
2192
2206
2296
2387
2479
n/d
n/d
-
-
2002
2557
2571
2661
2752
2844*
n/d
n/d
-
-
2003
2922
2936
n/d
n/d
n/d
n/d
n/d
n/d
2936 / 2981 **
* Note that severe instrument/platform dropouts may compromise data quality in the JJA97 (OTD) and SON02 (LIS) seasons; see the online OTD and LIS browse images (or the included LRTS_xxx_VT grids) for details of the dropout dates.
11. Versioning and UpdatesThe current product version is v2.2. All subsequent versions of this dataset (both minor and major revisions) will maintain the same product definition, resolution and file format. Additional years of LIS data may be added into the product for future revisions, as minor version updates, but will not alter file format. Product definitional changes will be finalized with the v1.0 release, which will also be contingent upon publication in a refereed journal of the methodology and results. Subsequent major version updates will only occur if later version OTD or LIS orbit data are used as inputs to this product (the currently used orbit data versions are 1.1 for OTD; 4.0 for LIS).
12. References
Instrument and Calibration/Validation:
Goodman,SJ; Christian,HJ; Rust,WD (1988): A comparison of the optical pulse characteristics of intracloud and cloud-to-ground lightning as observed above clouds. J. Appl. Met. 27, 1369-1381.
Christian,HJ; Blakeslee,RJ; Goodman,SJ (1989): The Detection of Lightning from Geostationary Orbit. J. Geophys. Res. 94, 13329-13337.
Christian,HJ; Blakeslee,RJ; Goodman,SJ (1992): Lightning imaging sensor for the Earth Observing System. (TM-4350.) NASA. 44 pages. Available from Center for Aerospace Information, P.O. Box 8757, Baltimore Washington International Airport, Baltimore, MD 21240.
Christian,HJ; Driscoll,KT; Goodman,SJ; Blakeslee,RJ; Mach,DA; Buechler,DE (1996): The Optical Transient Detector (OTD). Proc. 10th International Conference on Atmospheric Electricity, Osaka, Japan.
Kummerow, C; Barnes, W; Kozu, T; Shiue, J; Simpson, J (1998): The Tropical Rainfall Measuring Mission (TRMM) sensor package. J. Atmos. Oc. Tech. 15, 809-817.
Christian,HJ; Blakeslee,RJ; Goodman,SJ; Mach,DA; Stewart,MF; Buechler,DE; Koshak,WJ; Hall,JM; Boeck,WL; Driscoll,KT; Boccippio,DJ (1999): The Lightning Imaging Sensor. Proc. 11th Intl. Conf. on Atmospheric Electricity (NASA), Guntersville, AL, 7-11 June. 746-749.
Ushio,T; Driscoll,KT; Heckman,S; Boccippio,DJ; Koshak,WJ; Christian,HJ (1999): Initial comparison of the Lightning Imaging Sensor (LIS) with Lightning Detection and Ranging (LDAR). Proc. 11th Intl. Conf. on Atmospheric Electricity (ICAE), Guntersville, AL, 6-11 June. 738-741.
Christian,HJ; Blakeslee,RJ; Goodman,SJ; Mach,DM (eds.) (2000): Algorithm Theoretical Basis Document (ATBD) for the Lightning Imaging Sensor (LIS). Posted: 1 Feb 2000. (NASA / Marshall Space Flight Center, AL 35812)
Koshak,WJ; Bergstrom,JW; Stewart,MF; Christian,HJ; Hall,JM; Solakiewicz,RJ (2000): Laboratory calibration of the Optical Transient Detector and Lightning Imaging Sensor. J. Atmos. Oc. Tech. 17, 905-915.
Boccippio,DJ; Driscoll,KT; Koshak,WJ; Blakeslee,RJ; Boeck,WL; Mach,DA; Buechler,DE; Christian,HJ; Goodman,SJ (2000): The Optical Transient Detector (OTD): Instrument characteristics and cross-sensor validation. J. Atmos. Oc. Tech. 17, 441-458.
Thomas,RJ; Krehbiel,PR; Rison,W; Hamlin,T; Boccippio,DJ; Goodman,SJ; Christian,HJ (2000): Comparison of ground-based 3-dimensional lightning mapping observations with satellite-based LIS observations in Oklahoma. Geophys. Res. Lett. 27, 1703-1706.
Boccippio, DJ; Koshak, WJ; Blakeslee, RJ (2002): Performance assessment of the Optical Transient Detector and Lightning Imaging Sensor: I. Predicted diurnal variability. J. Atmos. Oc. Tech. 19, 1318-1332.
LIS/OTD-Enabled Science & Applications:
Christian, HJ et al (2003): Global frequency and distribution of lightning as observed by the Optical Transient Detector. J. Geophys. Res, 108 4005, doi: 10.1029/2002JD002347.
Boccippio,DJ; Wong,C; Williams,ER; Boldi,R; Christian,HJ; Goodman,SJ (1998): Global validation of single-station Schumann resonance lightning location. J. Atmos. Sp. Terr. Phys. 60, 701-712.
Christian,HJ; Blakeslee,RJ; Boccippio,DJ; Boeck,WL; Buechler,DE; Driscoll,KT; Goodman,SJ; Hall,JM; Koshak,WJ; Mach,DM; Stewart,MF (1999): Global frequency and distribution of lightning as observed by the Optical Transient Detector (OTD). Proc. 11th Intl. Conf. on Atmospheric Electricity (ICAE), Guntersville, AL, 7-11 June. 726-729.
Driscoll,KT (1999): A comparison between lightning activity and passive microwave measurements. 11th International Conf. on Atmospheric Electricity (ICAE), Guntersville, AL, 7-11 June 1999. 523-526.
Cecil, DJ; Zipser, EJ (2000): Relationships between tropical cyclone intensity and satellite-based indicators of inner core convection: 85 GHz ice-scattering signature and lightning. Mon. Wea. Rev., 111, 979-996.
Buechler,DE; Driscoll,KT; Goodman,SJ; Christian,HJ (2000): Lightning activity within a tornadic thunderstorm observed by the Optical Transient Detector (OTD). Geophys. Res. Lett ., 27, 2253-2256.
Goodman,SJ; Buechler,DE; Knupp,K; Driscoll,KT; McCaul,EW (2000): The 1997-98 El Nino event and related wintertime lightning variations in the Southeastern United States. Geophys. Res. Lett. 27, 541-544.
Jeker,DP; Pfister,L; Thompson,AM; Brunner,D; Boccippio,DJ; Pickering,KE; Wernli,H; Kondo,Y; Staehelin,J (2000): Measurements of nitrogen oxides at the tropopause: Attribution to convection and correlation with lightning. J. Geophys. Res., D 105, 3679-3700.
Boccippio,DJ; Goodman,SJ; Heckman,S (2000): Regional differences in tropical lightning distributions. J. Appl. Met. 39, 2231-2248.
Williams,ER; Rothkin,K; Stevenson,D; Boccippio,DJ (2000): Global lightning variations caused by changes in thunderstorm flash rate and by changes in the number of thunderstorms. J. Appl. Met. 39, 2223-2230.
Nesbitt,SW; Zipser,EJ; Cecil,DJ (2000): A census of precipitation features in the tropics using TRMM: Radar, ice scattering and lightning observations. J. Clim. 13, 4087-4106.
Rodgers, E; Olson, W; Halverson, J; Simpson, J; Pierce, H (2000): Environmental forcing of supertyphoon Paka’s (1997) latent heat structure. J. Appl. Met., 39, 1983-2006.
Boccippio,DJ; Cummins,KL; Christian,HJ; Goodman,SJ (2001): Combined satellite and surface-based estimation of the intracloud / cloud-to-ground lightning ratio over the continental United States. Mon. Wea. Rev. 129, 108-122.
Toracinta, ER; Zipser, EJ (2001): Lightning and SSM/I ice-scattering mesoscale convective systems in the global tropics. J. Appl. Met. 40, 983-1002.
Boccippio, DJ; Heckman, S; Goodman, SJ (2001): A diagnostic analysis of the Kennedy Space Center LDAR network. 2: Cross-sensor studies. J. Geophys. Res. 106, 4787-4796.
Chang, DE;Weinman, JA; Morales, CA; Olson, WS (2001): The effect of spaceborne microwave and ground-based continuous lightning measurements on forecasts of the 1998 Groundhog Day storm. Mon. Wea. Rev., 129, 1809-1833.
Ushio,T; Heckman,S; Boccippio,DJ; Christian,HJ (2001): A survey of thunderstorm flash rates compared to cloud top height using TRMM satellite data. J. Geophys. Res., D, 106, 24089-24095.
Boccippio,DJ (2002): Lightning scaling laws revisited. J. Atmos. Sci. 59, 1086-1104.
Bond, DW; Zhang, R; Tie, X.; Brasseur, G.; Huffines, G; Orville, R.E; Boccippio, DJ (2001): NOx production by lightning over the continental United States. J. Geophys. Res, 106, 27701-27710.
Koike, M.; Kondo, Y.; Akutagawa, D.; Kita, K.; Nishi, N.; Liu, S.C.; Blake, D.; Kawakami, S.; Takegawa, N.; Ko, M.; Zhao, Y.; Ogawa, T. (2003) Reactive nitrogen over the tropical Western Pacific: Influence from lightning and biomass burning. J. Geophys. Res, 108, 8403, doi:10.1029/2001JD00823.
13. Sample Code
A set of Interactive Data Language (IDL) routines to extract the LIS/OTD Low Resolution Time Series (LRTS) and other gridded products are distributed with the data. The IDL syntax is roughly similar to C or FORTRAN and porting of these routines should be relatively straightforward.
Note: These routines are being provided as a courtesy to the user community. The GHRC and LIS Science Team cannot guarantee technical support or compatibility with IDL version updates or platform-specific implementations.
GETGRID.PRO:
GETGRID, HDF_NAME, SDS_NAME, GRID, [DIMS, DIMNAMES, DIM0…]
Retrieves a scientific data set (and optionally, its dimensions) from one of the HDFclimatology files.
LONLAT_TO_XY.PRO:
RESULT = LONLAT_TO_XY([LON,LAT],RESOLUTION)
Converts a [lon,lat] pair to a grid [x,y] index, for a given grid resolution (e.g., 2.5 deg in the LRTS product).
RESULT = XY_TO_LONLAT([X,Y],RESOLUTION)
Converts a grid [x,y] pair to a grid cell center [lon,lat], for a given grid resolution (e.g., 2.5 deg in the LRTS product).
14. Contact InformationQuestions regarding dataset ordering, media issues, file handling or HDF file access (input/output) should be directed to the Global Hydrology Resource Center (ghrc@msfc.nasa.gov). Questions regarding the science data processing, viewing, calibration and variance should be addressed to Dennis.Boccippio@nasa.gov. Questions regarding the OTD or LIS missions themselves should be addressed to the OTD/LIS Principal Investigator, Hugh.J.Christian@nasa.gov.
Data can be ordered and questions addressed at http://ghrc.nsstc.nasa.gov/.
To order this data or for further information, please contact: Global Hydrology Resource Center
User Services
320 Sparkman Drive
Huntsville, AL 35805
Phone: 256-961-7932
E-mail: ghrc@eos.nasa.gov
NASA Information Contact: Michael Goodman, Global Hydrology and Climate Center
GHRC Web Curator: GHRC Web Team
Last update: Friday, 22-Sep-2006 13:27:12 CDT
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