NASA GHRC One of NASA’s Distributed Active Archive Centers
  • Find Data
    • Find Data (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.
    • Coincidence Search
      • The GHRC Coincidence Search Engine (CSE) may be used to search for times when up to four satellites were over or within the same geographic area simultaneously.

        Searches may be constrained by time, geographic area, and/or distance between the satellites.
    • OPeNDAP
      • This is our current OPeNDAP server.

        You can access, download, and subset our main data catalog using this link through your web browser or stand-alone OPeNDAP client applications.
    • Storm Tracks DB
      • The Tropical Storm Tracks database is derived from the storm data published by the National Hurricane Center (NHC).

        This web page provides a convenient user interface for casually browsing storm information, including location, category, and wind speed.
    • 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.
  • 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 (2015-2016)
      • Major ground-based and airborne observations for the Olympic Mountain Experiment (OLYMPEX) field campaign took place between November, 2015, and January, 2016, with additional ground sampling continuing through February on the Olympic Peninsula in the Pacific Northwest of the United States.

        This field campaign provides 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 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.
      • 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
Satellite Coincidence Search Engine

Interface & Database

CSE Home

Web Interface

REST Interface

Two-line Element Sets (TLEs)


Other Data Sources

NASA Earthdata Search

Tropical Storm Tracks



Wikipedia Article

The CSE REST Service Interface

In addition to the usual web interface, the Coincidence Search Engine may also be invoked as a REST service. This can be useful for automated processes that wish to run periodic queries for coincidences. The service returns XML.


Command syntax and options

The syntax of the command is the following:{options}...

"{options}" is a list of the search parameters, many of which are required. Options are separated from each other by an ampersand (&); the option list is separated from the base URL by a question mark (?). See the example below. The following options are available:

This option is required, as it specifies the satellite(s) to use in the search. "satnum" is the satellite identification number which may be obtained by clicking on the satellite name in the selection list. One to four satellites may be specified, separated by commas (but no spaces).

The beginning date and time for the search in UTC. This option is required.

The ending date and time for the search in UTC. This option is required.

The time interval between coincidence checks. This option is not required and defaults to 10 seconds (00:00:10). Smaller values may yield larger result sets, but will take longer to compute.

Specifies the bounding box. Each value is a floating-point number in degrees. The origin (0,0) is the Equator at Greenwich, and the values increase northward and eastward. This means that the longitude range is -180 to 180 and the latitude range is -90 to 90. Note: Do not specify a plus sign (+) on positive values. The south value must not be greater than the north value. If the west value exceeds the east value, then the area of interest crosses the dateline.

The maximum ground distance between two satellite nadirs for them to be "coincident". The value must be an integer, the number of kilometers of distance. Small values tend to produce empty result sets. This option may be omitted if only one satellite has been selected

Specifies whether all ("all") coincidence values or only the begin and end values ("begin%2Fend") are to be displayed. Typically, when a satellite is coincident with another or a ground area, there is a begin time when the coincidence starts, a period when they are coincident, and an end time when they are no longer coincident. If "all" is specified, all of the coincidences will be shown, one for each "interval" of time. If "begin%2Fend" is specified, only the first and last will be shown. [The "%2F" is the HTML encoding for a slash (/), which is required.]


The following (long) command shows the coincidences of the TRMM satellite with an area-of-interest roughly covering the continental U.S. for January 1, 2009:

The entire command must be specified on one line without embedded newlines or spaces.

Results format

The return value is an XML document. It has the following format:

    <Coincidence {at|from|thru}="datetime">
      <satellite id="satid" name="satname" lat="float" lon="float" alt="float"/>

If no coincidences were detected, there will be no <Coincidence> tags in the response. There will be as many <satellite> tags for each coincidence as there were satellites selected. The choice of "at", "from", or "thru" depends on the "show" value submitted: For "all", all coincidences will have the "at" attribute. For "begin/end", the start of a coincidence will be tagged "from" and the end of a coincidence will be tagged "thru".

In the event of a catastrophic error, the following message will be returned:

    <error msg="text"/>

The explanation for the error will be contained in the text.

Results samples

The following is a partial listing of the results from the example shown above:

<?xml version ="1.0" encoding="UTF-8"?>
  <Coincidence at="2009-01-01T01:11:20Z">
    <satellite id="25063" name="TRMM" lat="25.215" lon="-72.380" alt="395.260"/>
  <Coincidence at="2009-01-01T01:11:30Z">
    <satellite id="25063" name="TRMM" lat="25.489" lon="-71.770" alt="395.230"/>
  <Coincidence at="2009-01-01T01:11:40Z">
    <satellite id="25063" name="TRMM" lat="25.759" lon="-71.158" alt="395.200"/>
  <Coincidence at="2009-01-01T01:11:50Z">
    <satellite id="25063" name="TRMM" lat="26.027" lon="-70.542" alt="395.170"/>
  <Coincidence at="2009-01-01T01:12:00Z">
    <satellite id="25063" name="TRMM" lat="26.291" lon="-69.924" alt="395.130"/>
  <Coincidence at="2009-01-01T01:12:10Z">
    <satellite id="25063" name="TRMM" lat="26.553" lon="-69.303" alt="395.100"/>
  <Coincidence at="2009-01-01T01:12:20Z">
    <satellite id="25063" name="TRMM" lat="26.811" lon="-68.678" alt="395.070"/>
  <Coincidence at="2009-01-01T01:12:30Z">
    <satellite id="25063" name="TRMM" lat="27.067" lon="-68.051" alt="395.040"/>
  <Coincidence at="2009-01-01T01:12:40Z">
    <satellite id="25063" name="TRMM" lat="27.319" lon="-67.421" alt="395.010"/>
  <Coincidence at="2009-01-01T01:12:50Z">
    <satellite id="25063" name="TRMM" lat="27.567" lon="-66.787" alt="394.980"/>
  <Coincidence at="2009-01-01T01:13:00Z">
    <satellite id="25063" name="TRMM" lat="27.813" lon="-66.150" alt="394.950"/>
  <Coincidence at="2009-01-01T02:43:40Z">
    <satellite id="25063" name="TRMM" lat="25.140" lon="-96.128" alt="395.270"/>
  <Coincidence at="2009-01-01T02:43:50Z">
    <satellite id="25063" name="TRMM" lat="25.415" lon="-95.519" alt="395.240"/>
  <Coincidence at="2009-01-01T02:44:00Z">
    <satellite id="25063" name="TRMM" lat="25.686" lon="-94.907" alt="395.200"/>

If "begin%2Fend" was specified instead of "all" for the "show" option, the output looks like this:

<?xml version ="1.0" encoding="UTF-8"?>
    <satellite id="25063" name="TRMM" lat="25.215" lon="-72.380" alt="395.260"/>
  <Coincidence thru="2009-01-01T01:13:00Z">
    <satellite id="25063" name="TRMM" lat="27.813" lon="-66.150" alt="394.950"/>
  <Coincidence from="2009-01-01T02:43:40Z">
    <satellite id="25063" name="TRMM" lat="25.140" lon="-96.128" alt="395.270"/>
  <Coincidence thru="2009-01-01T02:51:00Z">
    <satellite id="25063" name="TRMM" lat="33.838" lon="-66.560" alt="394.190"/>
  <Coincidence from="2009-01-01T04:16:00Z">
    <satellite id="25063" name="TRMM" lat="25.065" lon="-119.875" alt="395.270"/>
  <Coincidence thru="2009-01-01T04:28:40Z">
    <satellite id="25063" name="TRMM" lat="34.649" lon="-66.503" alt="394.050"/>
  <Coincidence from="2009-01-01T05:53:10Z">
    <satellite id="25063" name="TRMM" lat="31.648" lon="-124.794" alt="394.470"/>
  <Coincidence thru="2009-01-01T06:06:40Z">
    <satellite id="25063" name="TRMM" lat="30.100" lon="-66.061" alt="394.540"/>
  <Coincidence from="2009-01-01T07:31:00Z">
    <satellite id="25063" name="TRMM" lat="34.912" lon="-124.561" alt="394.040"/>
  <Coincidence thru="2009-01-01T07:42:30Z">
    <satellite id="25063" name="TRMM" lat="25.044" lon="-76.431" alt="395.110"/>



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