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

TRMM Microwave Imager (TMI) Wentz Ocean Products

Table of Contents

Instrument Description
File Naming Convention
Data Description
Data Format
Sample Read Routine
References
Contact Information

Instrument Description

In November 1997, the first microwave radiometer capable of accurately measuring SST through clouds was launched on the Tropical Rainfall Measuring Mission (TRMM) spacecraft. The TRMM Microwave Imager (TMI) is providing an unprecedented view of the oceans. Its lowest frequency channel (10.7 GHz) penetrates non-raining clouds with little attenuation, giving a clear view of the sea surface under all weather conditions except rain. Furthermore at this frequency, atmospheric aerosols have no effect, making it possible to produce a very reliable SST time series for climate studies. The one disadvantage of the microwave SST is spatial resolution. The radiation wavelength at 10.7 GHz is about 3 cm, and at these long wavelengths the spatial resolution on the Earth surface for a single TMI observation is about 50 km. Also, the TRMM orbit was selected for continuous monitoring of the tropics. To achieve this, a low inclination angle was chosen, confining the TRMM observations between 40°S and 40°N. Previous microwave radiometers were either too poorly calibrated or operated at too high of a frequency to provide a reliable estimate of SST. The early results for the TMI SST retrievals are quite impressive and are already leading to improved analyses in a number of important scientific areas, including tropical instability waves (TIWs) and tropical storms [Wentz et al., 1999]

The TRMM Microwave Imager (TMI) is a 5-channel, dual-polarized, passive microwave radiometer. Microwave radiation is emitted by the Earth's surface and by water droplets within clouds. The TMI is used to measure several important meteorological parameters over sea surfaces. The TMI, a successor to the SSM/I, measures radiation at frequencies of 10.7, 19.4, 21.3, 37, 85.5 GHz. It orbits at an altitude of 218 miles, much lower than the SSM/I, thus providing better resolution. From the 5 channels of data provided by TMI, scientists calculate several parameters over ocean surfaces. These are:

  • sea surface temperature
  • 11 GHz 10m wind speed
  • 37 GHz 10m wind speed
  • columnar water vapor (atmospheric water vapor, integrated water vapor)
  • columnar cloud water (cloud liquid water, liquid cloud water)
  • 19-37 GHz rain rate (precipitation rate)

Further information may be obtained from Remote Sensing Systems, Inc. (http://www.ssmi.com).

File Naming Convention

The TMI Swath Data Product is packaged in HDF-EOS format, one file per orbit. The file naming convention is

tmi_L2c_YYYY.JJJ_OOOOO_v0X.eos

where

YYYY is the year (e.g., 1999)
JJJ is the day-of-year (e.g., 032)
OOOOO is the orbit number (e.g., 00415)
v0X indicates the version number, currently at version 04.

Data Description

These ocean products were derived from observations made by a radiometer onboard the Tropical Rainfall Measuring Mission (TRMM) satellite. The TRMM Microwave Imager (TMI) is well-calibrated, similar to SSM/I, and contains lower frequency channels required for sea surface temperature retrievals. These products include sea surface temperatures (SST), surface wind speeds derived using two different TMI channels, atmospheric water vapor, liquid cloud water and rain rates. TRMM is a joint program between NASA and the National Space Development Agency of Japan (NASDA). The production of this data set is a collaborative effort with the TRMM Project at GSFC and the Passive Microwave Earth Science Information Partnership (ESIP) for Climate Studies. The Passive Microwave ESIP (PM-ESIP) was established to provide climate products derived from satellite microwave radiometers and is a joint effort among NASA's Global Hydrology and Climate Center, the University of Alabama in Huntsville, and Remote Sensing Systems These ocean products are produced by Remote Sensing Systems, and converted to HDF-EOS format here at the Global Hydrology Resource Center. RSS is currently using version-3a algorithm to produce the ocean products: surface wind speeds, atmospheric water vapor, liquid cloud water, and rain rates. More information about this algorithm can be found at: http://www.ssmi.com/tmi/tmi_description.html#intro A detailed description of the algorithm development can be found at: ftp://ghrc.nsstc.nasa.gov/pub/doc/tmiwop/TMI_version_2_algorithm.pdf. The TMI algorithm was changed in September 2006 to version 04. A writeup by RSS (Remote Sensing Systems) describing the V04 changes can be found at: ftp://ghrc.nsstc.nasa.gov/pub/doc/tmiwop/v04_TMI_RSS_update.pdf.

Data Format
  • HDF-EOS objects

The data are contained within a single HDF-EOS swath object named

Orbit X

where X is the orbit number with leading zeroes removed (e.g., 415).

  • Dimensions

Two dimensions are defined:

Track - The along-track dimension or number of scans

Xtrack - The cross-track dimension (always 104)

  • Geolocation fields

Three geolocation fields are defined:

Latitude
Contains latitude values in decimal degrees in the range -90.0 to 90.0, stored as an array of single-precision floating-point values (FLOAT32). The array is dimensioned "Track" by "Xtrack" ("C" order).
Longitude
Contains longitude values in decimal degrees in the range -180.0 to 180.0, stored as an array of single-precision floating-point values (FLOAT32). The array is dimensioned "Track" by "Xtrack" ("C" order).
Time
Contains time International Atomic Time values in seconds with 1993-01-01 00:00:00 as the zero base (TAI93), stored as a vector of double-precision floating-point values (FLOAT64). The vector is dimensioned "Track".
  • Data fields
One one-dimensional data field and eleven two-dimensional data fields are defined as follows:
  • Quality flag - Contains a quality flag stored as a 16-bit integer (INT16) in a vector dimensioned "Track". A value of zero indicates that the scan is good; a non-zero value indicates that the entire scan is invalid.
  • Sun angle - Contains the sun angle stored as a 16-bit integer (INT16) in an array dimensioned "Track" by "Xtrack". Valid values range from 1 to 29 and are always odd. A value of 31 indicates that the sun angle is not valid.
  • Adjacent rain flag - Contains a flag stored as an 8-bit integer (INT8) in an array dimensioned "Track" by "Xtrack". A non-zero value indicates adjacent rain.
  • 37GHz wind QC flag - Contains a flag stored as an 8-bit integer (INT8) in array dimensioned "Track" by "Xtrack". A non- zero value indicates that the "37GHz 10 wind speed" datum is probably bad.
  • Surface type - Contains the surface type stored as a 16-bit integer (INT16) in an array dimensioned "Track" by "Xtrack". A value of zero indicates ocean; one indicates coast; and two indicates land.
  • Sea surface temperature - Contains the sea surface temperature stored as a 16-bit integer (INT16) in an array dimensioned "Track" by "Xtrack". Units are degrees Celsius multiplied by 100. (E.g., 10 degrees C is stored as 1000.)
  • 11 GHz 10m wind speed - Contains the wind speed stored as a 16-bit integer (INT16) in an array dimensioned "Track" by "Xtrack". Units are meters per second times 100. (E.g., 15 m/sec. is stored as 1500.)
  • 37GHz 10m wind speed - Contains the wind speed derived from the 37GHz channel stored as a 16-bit integer (INT16) in an array dimensioned "Track" by "Xtrack". Units are meters per second times 100. (E.g., 15 m/sec. is stored as 1500.) See the "37GHzwind QC flag" for the validity of this field.
  • Columnar water vapor - Contains the water vapor stored as a 16-bit integer (INT16) in an array dimensioned "Track" by "Xtrack". Units are millimeters * 100. (E.g., 3 mm is stored as 300.)
  • Columnar cloud water - Contains the cloud water stored as a 16-bit integer (INT16) in an array dimensioned "Track" by "Xtrack". Units are millimeters * 100. (E.g., 3 mm is stored as 300.)
  • 19-37GHz rain rate - Contains the rain rate stored as a 16-bit integer (INT16) in an array dimensioned "Track" by "Xtrack". Units are millimeters per hour times 100. (E.g., 5 mm/hr. is stored as 500.)
  • (Empty field - No longer used.)

Array dimensions specified above refer to "C" order (last dimension varies fastest).

For all 16-bit fields, a value of -32768 indicates invalid data. For all 8-bit fields, a value of 255 (-128) indicates invalid data.

Sample read routine

A sample read routine may be found in tmireader.c. This routine must be compiled and linked with the HDF-EOS and HDF libraries. In addition, it requires the following include file:

--------------------------------------------------------------------------------------------------------

#ifndef _SDP_UTILITIES_
#define _SDP_UTILITIES_

#include <df.h>

/*  Return codes  */

#define SDP_S                   0x00000
#define SDP_M                   0x10000
#define SDP_W                   0x20000
#define SDP_E                   0x30000

#define SDP_S_SUCCESS                   (0 | SDP_S)
#define SDP_E_TOOLKIT                   (1 | SDP_E)

#define SDPTD                   0x100

#define SDPTD_M_LEAP_SEC_IGNORED        (1 | SDPTD | SDP_M)
#define SDPTD_M_ASCII_TIME_FMT_B        (2 | SDPTD | SDP_M)

#define SDPTD_W_PRED_LEAPS              (1 | SDPTD | SDP_W)
#define SDPTD_W_JD_OUT_OF_RANGE         (2 | SDPTD | SDP_W)
#define SDPTD_W_DATA_FILE_MISSING       (3 | SDPTD | SDP_W)

#define SDPTD_E_NO_LEAP_SECS            (1 | SDPTD | SDP_E)
#define SDPTD_E_TIME_VALUE_ERROR        (2 | SDPTD | SDP_E)
#define SDPTD_E_TIME_FMT_ERROR          (3 | SDPTD | SDP_E)

/*  Function declarations  */

int             SDP_TD_TAItoUTC (float64 tai, char *utc);
float64        *SDP_TD_TAItoTAIjd (float64 tai, float64 jd[2]);
int             SDP_TD_TAIjdtoUTCjd (float64 tai[2], float64 utc[2]);
int             SDP_TD_UTCjdtoUTC (float64 jd[], int onleap, char
utc[28]);
int             SDP_TD_LeapSec (float64 jd[2], float64 *leap,
                    float64 *lastchangeJD, float64 *nextChangeJD,
                    char *leapStatus);
float64        *SDP_TD_JulianDateSplit (float64 inJD[2], float64
outJD[2]);
int             SDP_TD_UTCjdtoTAIjd (float64 jdUTC[2], int onLeap,
                    float64 jdTAI[2]);
void            SDP_TD_calday (int32 julianDayNum, int32 *year, int32
*month,
                    int32 *day);
int             SDP_TD_UTCtoTAI (char asciiUTC[28], float64 *secTAI93);
int             SDP_TD_UTCtoUTCjd (char asciiUTC[28], float64 jdUTC[2]);
float64         SDP_TD_TAIjdtoTAI (float64 jdTAI[2]);
int             SDP_TD_timeCheck (char *asciiUTC);
int             SDP_TD_ASCIItime_BtoA (char asciiUTC_B[26],
                    char asciiUTC_A[28]);
int32           SDP_TD_julday (int32 year, int32 month, int32 day);

#endif /* _SDP_UTILITIES_ */

--------------------------------------------------------------------------------------

References

HDF-EOS information may be found at http://hdfeos.net/. This page contains software, instructions and documentation for HDF-EOS.

Contact Information

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/

Citing These data:

To help us best serve the scientific research communities, please cite GHRC data whenever you use them in a published paper or public presentation. We also request that you send us one reprint of any publication that cites our data. Please include the following information in each citation: principal investigators, year of data set release, data set title and version number, dates of the data you used, publisher, and digital media.

Example Citation:

Frank Wentz. 2010, near real-time. NRT AMSR-E/Aqua L2A Global Swath Spatially-Resampled Brightness Temperatures V11, May 1-15 2011. Huntsville, Alabama USA: AMSR-E SIPS at the GHRC DAAC. Digital media.

For further information please contact us at support-ghrc@earthdata.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