NASA GHRC Collaboration between NASA MSFC and The University of Alabama in Huntsville
  • Access Data
    • Dataset List (HyDRO)
      • View a list of all GHRC dataset holdings using our custom search tool, HyDRO.
    • Search (HyDRO)
      • HyDRO is GHRC's custom dataset search and order tool.

        With HyDRO, you can search, discover, and filter GHRC's dataset holdings.

        HyDRO will also help you find information about browse imagery, access restrictions, and dataset guide documents.
    • NASA Earthdata Search
      • Earthdata is NASA's next generation metadata and service discovery tool, providing search and access capabilities for dataset holdings at all of the Distributed Active Archive Centers (DAACs) including the GHRC.
    • Latest Data (HyDRO)
      • View the latest additions to our data holdings using HyDRO.
  • Measurements
  • Field Campaigns
    • Hurricane Science
      • GHRC has worked with NASA's Hurricane Science Research Program (HSRP) since the 1990's. We are the archive and distribution center for data collected during HSRP field campaigns, as well as the recent Hurricane Science and Severe Storm Sentinel (HS3) Earth Venture mission. Field campaigns provide for intensive observation of specific phenomena using a variety of instruments on aircraft, satellites and surface networks.

        GHRC also hosts a database of Atlantic and Pacific tropical storm tracks derived from the storm data published by the National Hurricane Center (NHC).
    • HS3 (2012-14)
      • Hurricane and Severe Storm Sentinel (HS3) is an Earth Ventures – Suborbital 1 mission aimed at better understanding the physical processes that control hurricane intensity change, addressing questions related to the roles of environmental conditions and internal storm structures to storm intensification.

        A variety of in-situ, satellite observations, airborne data, meteorological analyses, and simulation data were collected with missions over the Atlantic in August and September of three observation years (2012, 2013, 2014). These data are available at GHRC beginning in 2015.
    • GRIP (2010)
      • The Genesis and Rapid Intensification Processes (GRIP) experiment was a NASA Earth science field experiment in 2010 that was conducted to better understand how tropical storms form and develop into major hurricanes.

        The GRIP deployment was 15 August – 30 September 2010 with bases in Ft. Lauderdale, FL for the DC-8, at Houston, TX for the WB-57, and at NASA Dryden Flight Research Facility, CA for the Global Hawk.
    • TC4 (2007)
      • The NASA TC4 (Tropical Composition, Cloud and Climate Coupling) mission investigated the structure and properties of the chemical, dynamic, and physical processes in atmosphere of the tropical Eastern Pacific.

        TC4 was based in San Jose, Costa Rica during July 2007.

        The Real Time Mission Monitor provided simultaneous aircraft status for three aircraft during the TC4 experiment. During TC4, the NASA ER-2, WB-57 and DC-8 aircraft flew missions at various times. The science flights were scheduled between 17 July and 8 August 2007.
    • NAMMA (2006)
      • The NASA African Monsoon Multidisciplinary Analyses (NAMMA) campaign was a field research investigation based in the Cape Verde Islands, 350 miles off the coast of Senegal in west Africa.

        Commenced in August 2006, NASA scientists employed surface observation networks and aircraft to characterize the evolution and structure of African Easterly Waves (AEWs) and Mesoscale Convective Systems over continental western Africa, and their associated impacts on regional water and energy budgets.
    • TCSP (2005)
      • The Tropical Cloud Systems and Processes (TCSP) mission was an Earth science field research investigation focused on the study of the dynamics and thermodynamics of precipitating cloud systems and tropical cyclones. TCSP was conducted during the period July 1-27, 2005 out of the Juan Santamaria Airfield in San Jose, Costa Rica.

        The TCSP field experiment flew 12 NASA ER-2 science flights, including missions to Hurricanes Dennis and Emily, Tropical Storm Gert and an eastern Pacific mesoscale complex that may possibly have further developed into Tropical Storm Eugene.
    • ACES (2002)
      • The Altus Cumulus Electrification Study (ACES) was aimed at better understanding the causes and effects of electrical storms.

        Based at the Naval Air Station Key West in Florida, researchers in August 2002 chased down thunderstorms using an uninhabited aerial vehicle, or "UAV", allowing them to achieve dual goals of gathering weather data safely and testing new aircraft technology. This marked the first time a UAV was used to conduct lightning research.
    • CAMEX-4 (2001)
      • The Convection And Moisture EXperiment (CAMEX) was a series of NASA-sponsored hurricane science field research investigations. The fourth field campaign in the CAMEX series (CAMEX-4) was held in 16 August - 24 September, 2001 and was based out of Jacksonville Naval Air Station, Florida.

        CAMEX-4 was focused on the study of tropical cyclone (hurricane) development, tracking, intensification, and landfalling impacts using NASA-funded aircraft and surface remote sensing instrumentation.
    • CAMEX-3 (1998)
      • The Convection And Moisture EXperiment (CAMEX) is a series of hurricane science field research investigations sponsored by NASA. The third field campaign in the CAMEX series (CAMEX-3) was based at Patrick Air Force Base, Florida from 6 August - 23 September, 1998.

        CAMEX-3 successfully studied Hurricanes Bonnie, Danielle, Earl and Georges, yielding data on hurricane structure, dynamics, and motion. CAMEX-3 collected data for research in tropical cyclone development, tracking, intensification, and landfalling impacts using NASA-funded aircraft and surface remote sensing instrumentation.
    • GPM Ground Validation
      • The NASA Global Precipitation Measurement Mission (GPM) Ground Validation (GV) program includes the following field campaigns:

        a) LPVEx, Gulf of Finland in autumn 2010, to study rainfall in high latitude environments

        b) MC3E, cental Oklahoma spring and early summer 2011, to develop a complete characterization of convective cloud systems, precipitation and the environment

        c) GCPEx, Ontario, Canada winter of 2011-2012, direct and remove sensing observations, and coordinated model simulations of precipitating snow.

        d) IFloodS, Iowa, spring and early summer 2013, to study the relative roles of rainfall quantities and other factors in flood genesis.

        e) IPHEx, N. Carolina Appalachians/Piedmont region May-June 2014, for hydrologic validation over varied topography.

        f) OLYMPEx, Washington's Olympic Peninsula scheduled November 2015-February 2016, for hydrologic validation in extreme coastal and topographic gradients
    • OLYMPEX (Upcoming)
      • The OLYMPEX field campaign is scheduled to take place between November, 2015, and February, 2016, on the Olympic Peninsula in the Pacific Northwest of the United States.

        This field campaign will provide ground-based validation support of the Global Precipitation Measurement (GPM) satellite program that is a joint effort between NASA and JAXA.

        As for all GPM-GV campaigns, the GHRC will provide a collaboration portal to help investigators exchange planning information and to support collection of real-time data as well as mission science, project and instrument status reports during the campaign.
    • IPHEx (2014)
      • The Integrated Precipitation and Hydrology Experiment (IPHEx) was conducted in North Carolina during the months of April-June, 2014.

        IPHEx sought to characterize warm season orographic precipitation regimes, and the relationship between precipitation regimes and hydrologic processes in regions of complex terrain.
    • IFLOODs (2013)
      • The Iowa Flood Studies (IFloodS) experiment was conducted in the central to northeastern part of Iowa in Midwestern United States during the months of April-June, 2013.

        IFloodS' primary goal was to discern the relative roles of rainfall quantities such as rate and accumulation as compared to other factors (e.g. transport of water in the drainage network) in flood genesis.
    • GCPEX (2011-2012)
      • The GPM Cold-season Precipitation Experiment (GCPEx) occurred in Ontario, Canada during the winter season (Jan 15- Feb 26) of 2011-2012.

        GCPEx addressed shortcomings in GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. Collectively the GCPEx data set provides a high quality, physically-consistent and coherent data set suited to the development and testing of GPM snowfall retrieval algorithm physics.
    • MC3E (2011)
      • The Mid-latitude Continental Convective Clouds Experiment (MC3E) took place in central Oklahoma during the April–June 2011 period.

        The overarching goal was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms over land that had never before been available.
    • LPVEx (2010)
      • The Light Precipitation Evaluation Experiment (LPVEx) took place in the Gulf of Finland in September and October, 2010 and collected microphysical properties, associated remote sensing observations, and coordinated model simulations of high latitude precipitation systems to drive the evaluation and development of precipitation algorithms for current and future satellite platforms.

        In doing so, LPVEx sought to address the general lack of dedicated ground-validation datasets from the ongoing development of new or improved algorithms for detecting and quantifying high latitude rainfall
  • Projects
    • HS3 Suborbital Mission
      • Hurricane and Severe Storm Sentinel (HS3) is an Earth Ventures – Suborbital 1 mission aimed at better understanding the physical processes that control hurricane intensity change, addressing questions related to the roles of environmental conditions and internal storm structures to storm intensification.
    • DISCOVER - MEaSUREs
      • DISCOVER was funded by NASA’s MEaSUREs program to provide highly accurate, multi-decadal geophysical products derived from satellite microwave sensors.
    • LIS Mission
      • Lightning observations from the Lightning Imaging Sensors (LIS) aboard the NASA’s TRMM satellite and International Space Station, as well as airborne observations and ground validation data.
    • SANDS
      • The SANDS project addressed Gulf of Mexico Alliance priority issues by generating enhanced imagery from MODIS and Landsat data to identify suspended sediment resulting from tropical cyclones. These tropical cyclones have significantly altered normal coastal processes and characteristics in the Gulf region through sediment disturbance.
    • LANCE AMSR2
      • The Land, Atmosphere Near real-time Capability for EOS (LANCE) system provides access to near real-time data (less than 3 hours from observation) from AIRS, AMSR2, MLS, MODIS, and OMI instruments. LANCE AMSR2 products are generated by the AMSR Science Investigator-led Processing System at the GHRC.
  • Resources
    • Tools & Technologies
      • A collection of tools & technologies developed and/or used by GHRC.
    • Publications
      • View GHRC & ITSC publications on the ITSC website
    • Innovations Lab
      • The GHRC Innovations Lab is a showcase for emerging geoinformatics technologies resulting from NASA-sponsored research at the University of Alabama in Huntsville.
    • Educational Resources
      • A list of resources from NASA, MSFC, and other sources for teachers and students focused on global change, hydrology, and science education.
    • Referencing our data
      • GHRC dataset citation help and examples.
    • Documents
      • Documentation related to GHRC datasets, software, and other offerings.
    • Glossary
      • Terms and their definitions
    • Featured items
      • The latest tools from GHRC.
  • Multimedia
  • About
    • Welcome
      • Local resources, lodging information, and weather to help you plan your visit to GHRC.
    • GHRC Personnel
      • A list to help you keep in touch with our personnel
    • FAQ
      • Frequently Asked Questions about GHRC data and services, and their answers.
    • Data Citations and Acknowledgements
      • GHRC dataset citation help and examples
  • Cite Us
  • Contact Us
feedback
DOCUMENTATION

Documentation

Guide Documents

Dataset PI Documents

Dataset Software

NAMMA ATD Lightning Data

Table of Contents

Introduction
Campaign
Network Description
File Naming Convention
Data Format and Content
References
Contact Information

Introduction

The Arrival Time Difference (ATD) Thunderstorm detection system is a low-cost innovation that has grown out of a requirement placed on the Met Office to locate thunderstorms for general weather prediction [public safety], the national Electricity supply Grid and Defense operations.

The NAMMA ATD Lightning data was provided by the UK Meteorological Office. These data are derived from multiple outstations, and contain lightning stroke data, latitude and longitude information,  as well as accuracy and weighting codes. These data provided lightning coverage for the African Coast during the NAMMA experiment. Time and location was determined by the Arrival Time Difference (ATD) of the reporting stations.

Campaign

These data files were generated during support of the NASA African Monsoon Multidisciplinary Analyses (NAMMA) campaign, a field research investigation sponsored by the Science Mission Directorate of the National Aeronautics and Space Administration (NASA). This mission was based in the Cape Verde Islands, 350 miles off the coast of Senegal in west Africa. Commencing in August 2006, NASA scientists employed surface observation networks and aircraft to characterize the evolution and structure of African Easterly Waves (AEWs) and Mesoscale Convective Systems over continental western Africa, and their associated impacts on regional water and energy budgets. For more information about the NAMMA Campaign, go to the NAMMA web site: http://namma.nsstc.nasa.gov/

Network Description

This UK ATD Lightning Detection Network was developed, based on VLF Arrival Time Difference (ATD) principles. At very low frequencies the electromagnetic pulse from the return stroke of a lightning strike is able to propagate over extremely large distances by using the earth-ionosphere waveguide. Thus a network can be designed to cover large areas of the Earth.

The ATD system at the Met Office works by accurately measuring the arrival time of the lightning pulse at several widespread locations. The system consists of 7 remote stations and one central control station (at Bracknell, UK). At each remote station there is a whip antenna, which is sensitive to radiation from 10-14KHz. The ATD system works by detecting the vertical component of the electromagnetic field generated by a lightning discharge. Strong electromagnetic emissions at these frequencies are caused by rapid neutralization of charge in the lowest few hundred meters of cloud to ground (C-G) strokes. Atmospheric attenuation at these frequencies is very low and the electromagnetic discharge (SFERIC) can propagate over thousands of kilometers along the earth-atmosphere wave guide. After filtering, the waveform is Fourier analyzed, time-stamped by a rubidium oscillator and then sent to the control station. If the lightning strike is strong enough to be detected by several remote stations, the control station then receives waveforms from all of these stations. At the control station, the waveforms are correlated and the arrival time differences between each remote station and a reference station are calculated. Each time difference defines a locus of constant ATD between two stations. Using the loci from four or more outstations, it is possible to fix the location of a lightning strike on the surface of the Earth. The accuracy of lightning fixing is dependent mostly on the accuracy of time keeping at the remote stations. To ensure the best possible time accuracy, there is a back-up rubidium oscillator at each remote station, and they are both checked regularly by GPS. The final location error is also dependent on the number of remote stations contributing waveforms and the geometry of the fix in relation to the remote stations. If the fix is inside the quasi-triangle formed by the UK stations, Gibraltar and Akrotiri, then the loci should be intersecting at right angles, and the fix is well determined. For example, over the UK, the error is typically about 2km. But if the fix is well outside the network, say in South America, then the loci all intersect at shallow angles, and the error is therefore greater, perhaps as much as 100km.

File Naming Convention

Each file represents a 24 hour timeframe of lightning data. These data cover the time period of August 14 through September 20, 2006. The files are named according to the example shown below:

namma_UK_ATD_yyyymmdd.dat

where, yyyy is the year, mm is the month, and dd is the day.

Data Format and Content

These data are arranged in ASCII data files, space delimited, and each file supplies data for a 24 hour period of time. Below is the first line of a data file shown as an example.

Example data:

2006-08-27 00:00:00 141 34.95 -56.15 1 11 39 0 11 754 0

Where each column of the ATD Lightning data file is defined below:

key to columns:

column 1 - Flash Number (FLASH NUM) of original position in the 5 min message
column 2 - Latitude (LAT)
column 3 - Longitude (LON)
column 4 - Rejection code 1 or -1 (RCODE)
column 5 - Accuracy (ACC) values from 0 to 15 typically 2-15
column 6 - Original Status (STAT)
column 7 - In (0) or Out (1) of area flag (OUT)
column 8 - weighting used for fading in flashes from out of area if requested (SCORE)
column 9 - Max. distance  "In" region (IMAXIN)  fade process not currently used
column 10 - Max. distance "Out" region  (IMAXOUT) fade process not currently used
column 11 - REJECTED or blank = default accept (REJECT) you do not see this
column 12 - (STATUS)  1 or blank = 0   you do not see this column

NOTE: accuracy code(ACC)  is 0-15,giving 1, 1.5, 2.25, 3.38, 5.07, 7.6, 11.4, 17.09, 25.63, 38.45, 57.67, 86.5, 129.75, 194.62, 291.93, 437.9 kilometer errors based on the maximum of the ellipse formed by the loci of the detecting stations.

References

J. Nash et. al, Progress in Introducing New Technology sites for the Met Office long range lightning detection system, Paper 2.9 WMO Technical Conference on Meteorological and Environmental Instruments and Methods of Observation (TECO-2005), Instruments and Observing Methods Report No. 82, WMO/TD-No.1265

2. S. Keogh, E. Hibbett, J. Nash and J. Eyre, The Met Office Arrival Time Difference (ATD) system for thunderstorm detection and lightning location. Met Office, Numerical Weather Prediction : Forecasting Research Technical Report No. 488, e-mail:nwp_publications@metoffice.gov.uk

Contact Information

Questions related to these data should be directed to the data provider listed below:

Paul Taylor
paul.taylor@metoffice.gov.uk

To order these 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: support-ghrc@earthdata.nasa.gov
Web: http://ghrc.nsstc.nasa.gov/

 

ITSC

UAH

RSS feed GHRC Facebook GHRC Twitter

NASA Official:
Manil Maskey

Website maintained by the
UAH ITSC Web Team

If you have trouble viewing or
navigating this page, please contact
GHRC User Services

NASA Web Privacy Policy and Important Notices


    The GHRC is a member of the ICSU World Data System