x_tags

• Source: http://daac.ornl.gov/data/bluangel_harvest/LBA_ARCHIVED/CD07_GOES_L1_Radiance.xml
• simpleSaveXMLlength: 20187
• OME_version: Version 4.7.5, Revision Date: 04 Apr 2006
• DTD_version: metadata07.dtd
• Creation_datetime: 20050921 123043
• Creation_IP: 64.157.32.1
• File_revision: 20080819 144020

Team_Information

Investigation_Team
• Team_ID: CD-07 (Smith / Cooper / Dias)

Investigator
• Name: Smith, Eric A.
• Email: esmith@metsat.met.fsu.edu

Investigator
• Name: Dias, Pedro Leite da Silva
• Email: pldsdias@model.iag.usp.br

Investigator
• Name: Cooper, Harry J.
• Email: cooper@huey.met.fsu.edu

Investigator
• Name: Grose, Andy
• Email: agrose@met.fsu.edu

Investigator
• Name: Gu, Jiujing
• Email: jgu@met.fsu.edu

Investigator
• Name: Norman, John M.
• Email: jmnorman@facstaff.wisc.edu

Contact_Person
• Name: Gu, Jiujing
• Email: jgu@met.fsu.edu
• LBA_Science_Component: Carbon Dynamics

Metadata_Author
• Name: Gentry, Merilyn
• Email: mgentry2@utk.edu
• Phone: 865-354-1902

Data_Set_Information
• Data_Set_Title: LBA-ECO CD-07 GOES-8 L1 Radiance Data for Amazonia: 1998-2001
• Activity: LBA-ECO
• Project: LBA (Large-Scale Biosphere-Atmosphere Experiment in the Amazon)

Site_Information
• Site: Amazonia
• Region: Central South America
• Westernmost_Longitude: -75.3
• Easternmost_Longitude: -37.9
• Northernmost_Latitude: 5.1
• Southernmost_Latitude: -16.1
• Geodetic_Datum: World Geodetic System, 1984 (WGS-84)

Time_Period

Temporal_Coverage
• Start_Date: 19980301
• End_Date: 20010228
• Temporal_Resolution: hourly
• Temporal_Resolution: 3-hourly
• Temporal_Resolution: 30-min

Parameter_Description
• Topic: SPECTRAL/ENGINEERING
• Term: VISIBLE WAVELENGTHS
• Parameter: VISIBLE RADIANCE
• Sensor: GOES-8 IMAGER
• Source: GOES-8 (GEOSTATIONARY OPERATIONAL ENVIRONMENTAL SATELLITE-8)

Parameter_Description
• Topic: SPECTRAL/ENGINEERING
• Term: INFRARED WAVELENGTHS
• Parameter: REFLECTED INFRARED
• Sensor: GOES-8 SOUNDER
• Source: GOES-8 (GEOSTATIONARY OPERATIONAL ENVIRONMENTAL SATELLITE-8)

Parameter_Description
• Topic: ATMOSPHERE
• Term: ATMOSPHERIC RADIATION
• Parameter: REFLECTANCE
• Sensor: GOES-8 IMAGER
• Source: GOES-8 (GEOSTATIONARY OPERATIONAL ENVIRONMENTAL SATELLITE-8)
• Keywords: Amazonia
• Keywords: GOES
• Keywords: LBA
• Keywords: Radiation
• Keywords: Rainforest
• Keywords: Remote Sensing
• Keywords: Precipitation
• Description: The LBA-ECO CD-07 team collected GOES-8 imager data over the LBA-ECO study region as part of our effort to characterize the incoming radiation and precipitation rates at regional scales. This data set contains data from all five imager channels at half-hourly or 3-hourly temporal resolution and full spatial resolutions. The data cover the time period of March 1998 to February 2001. <br> Five wavelength regions of radiation data from the visible to the infrared are available at half hourly to 3 hourly intervals daily from Mar 1998 to February 2001 for the area known as Amazonia, geographically from about 5 N latitude to -16 S latitude in South America. This is the Amazon watershed area primarily. The data was collected by the University of Florida team under LBA contract CD-07, was being distributed as swath data by the University of New Hampshire through the Earth Science Information Partners program; and is now distributed via the Oak Ridge National Laboratory's Distributed Active Archive Center (ORNL DAAC's) ftp site.
• Data_Last_Modified: 20010228

Data_Access_Information
• Data_Set_Status: Archived
• Data_Set_Restrictions: Public
• Data_Set_Location: ORNL DAAC
• Data_Center_Contact: ORNL DAAC User Services (ornldaac@ornl.gov)
• Data_Center_URL: http://daac.ornl.gov
• Data_Set_Citation: Gu J.J., E.A. Smith, and H.J. Cooper. 2006. LBA-ECO CD-07 GOES-8 L1 Radiance Data for Amazonia: 1998-2001. Data set. Available on-line [http://www.daac.ornl.gov] from Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, U.S.A. doi:10.3334/ORNLDAAC/833.

Data_Set_Link
• URL: http://daac.ornl.gov/cgi-bin/cart/order.pl?ds_id=833
• Label: Access via ORNL DAAC User Interface

Data_Set_Link
• URL: ftp://daac.ornl.gov/data/lba/carbon_dynamics/CD07_GOES_L1_Radiance
• Label: Access via ORNL DAAC ftp

Poster_Link
• URL:
• Label:

Search_Text_Link
• URL: http://daac.ornl.gov/LBA/guides/CD07_GOES_L1_Radiance.html
• Label: Data Set User's Guide

Other_Link
• URL:
• Label:
• Data_Set_Inventory_ID: CD07_GOES_L1_Radiance

LBA_DIS_Archive
• URL: ftp://lba.cptec.inpe.br/lba_archives/CD/CD-07/Smith/GOES_radiation
• Label: LBA DIS Archive Directory: ftp://lba.cptec.inpe.br/lba_archives/CD/CD-07/Smith/GOES_radiation
• Archive_Status: Public

Related_Web_Site
• URL: http://metsat.met.fsu.edu/LBA/
• Label: Florida State University LBA Project Information Web Site / Data Originator

Related_Data_Set
• Data_Set_Title: LBA-ECO CD-07 GOES-8 L3 Gridded Surface Radiation and Rain Rate for Amazonia: 1999
• Relationship:

Related_Publication_Information
• Publication_Title: Modeling carbon sequestration over the large-scale Amazon basin, aided by satellite observations. Part I: Wet- and dry-season surface radiation budget flux and precipitation variability based on GOES retrievals
• Publication_Authors: Gu, J.J., E.A. Smith, H.J. Cooper, A. Grose, G.S. Liu, J.D. Merritt, M.J. Waterloo, A.C. de Araujo, A.D. Nobre, A.O. Manzi, J. Marengo, P.J. de Oliveira, C. von Randow, J. Norman, and P.S. Dias.
• Publication_Abstract: In this first part of a two-part investigation, large-scale Geostationary Operational Environmental Satellite (GOES) analyses over the Amazonia region have been carried out for March and October of 1999 to provide detailed information on surface radiation budget (SRB) and precipitation variability. SRB fluxes and rainfall are the two foremost cloud-modulated control variables that affect land surface processes, and they require specification at space-time resolutions concomitant with the changing cloud field to represent adequately the complex coupling of energy, water, and carbon budgets. These processes ultimately determine the relative variations in carbon sequestration and carbon dioxide release within a forest ecosystem. SRB and precipitation retrieval algorithms using GOES imager measurements are used to retrieve surface downward radiation and surface rain rates at high space - time resolutions for large-scale carbon budget modeling applications in conjunction with the Large-Scale Biosphere - Atmosphere Experiment in Amazonia. To validate the retrieval algorithms, instantaneous estimates of SRB fluxes and rain rates over 8 km 3 8 km areas were compared with 30-min-averaged surface measurements obtained from tower sites located near Ji-Paranaand Manaus in the states of Rondonia and Amazonas, respectively. Because of large aerosol concentrations originating from biomass burning during the dry season (i.e., September and October for purposes of this analysis), an aerosol index from the Total Ozone Mapping Spectrometer is used in the solar radiation retrieval algorithm. The validation comparisons indicate that bias errors for incoming total solar, photosynthetically active radiation ( PAR), and infrared flux retrievals are under 4%, 6%, and 3% of the mean values, respectively. Precision errors at the analyzed space time scales are on the order of 20%, 20%, and 5%. The visible and infrared satellite measurements used for precipitation retrieval do not directly detect rainfall processes, and yet they are responsive to the rapidly changing cloud fields, which are directly associated with precipitation life cycles over the Amazon basin. In conducting the validation analysis at high space - time scales, the comparisons indicate systematic bias uncertainties on the order of 25%. These uncertainties are comparable to published values from an independent assessment of bias uncertainties inherent to the current highest-quality satellite retrievals, that is, from the Tropical Rainfall Measuring Mission. Because precipitation is a weak direct control on photosynthesis for the Amazon ecosystem, that is, photosynthesis is dominated by the strong diurnal controls of incoming PAR and ambient air-canopy temperatures, such uncertainties are tolerable. By the same token, precipitation is a strong control on soil thermal properties and carbon respiration through soil moisture, but the latter is a time-integrating variable and thus inhibits introduction of modeling errors caused by random errors in the precipitation forcing. The investigation concludes with analysis of the monthly, daily, and diurnal variations intrinsic to SRB and rainfall processes over the Amazon basin, including explanations of how these variations arise during wet-and dry-season periods.
• Publication_Citation: Gu, J.J., E.A. Smith, H.J. Cooper, A. Grose, G.S. Liu, J.D. Merritt, M.J. Waterloo, A.C. de Araujo, A.D. Nobre, A.O. Manzi, J. Marengo, P.J. de Oliveira, C. von Randow, J. Norman, and P.S. Dias. 2004. Modeling carbon sequestration over the large-scale Amazon basin, aided by satellite observations. Part I: Wet- and dry-season surface radiation budget flux and precipitation variability based on GOES retrievals. Journal of Applied Meteorology 43(6):870-886.
• Publication_Keywords: ABSORPTION;AEROSOL;ALGORITHM;ALGORITHMS;AMAZON;AMAZON BASIN;AMAZONIA;AREA;AREAS;ATMOSPHERE;BASIN;BIAS;BIOMASS;BIOMASS BURNING;BIOSPHERE;BUDGET;BUDGETS;CARBON;CARBON BUDGET;CARBON DIOXIDE;CARBON SEQUESTRATION;CARBON-DIOXIDE;CLIMATOLOGY PROJECT;CLOUDS;COMPLEXES;COUPLING;CYCLE;CYCLES;DIOXIDE;DRY SEASON;ECOSYSTEM;ENERGY;EOS;ERROR;FIELD;FLUX;FLUXES;FOREST;GLOBAL PRECIPITATION;IMAGERY;INDEX;INDEXES;INFORMATION;LAND;LAND-SURFACE;LIFE-CYCLE;MAPPING;MARCH;MEASURING MISSION;MODELING;MOISTURE;OZONE;PAR;PHOTOSYNTHESIS;PHOTOSYNTHETICALLY ACTIVE RADIATION;PRECIPITATION;RADIATION;RAIN;RAIN-FOREST;RAINFALL;RATES;REGION;RESOLUTION;RESPIRATION;RETRIEVAL;RONDONIA;SATELLITE;SCALE;SCIENCE;SEASON;SEQUESTRATION;SIMPLE PHYSICAL MODEL;SOIL;SOIL MOISTURE;SOIL THERMAL PROPERTIES;SOIL-MOISTURE;SOLAR RADIATION;SOLAR-RADIATION
• ISBN_Number: ISI:000222458700004
• Internal_Pub_ID: 592

Data_Set_Documentation
• Data_Set_Overview: For LBA-ECO, the Geostationary Operational Environmental Satellite 8 (GOES-8) imagery, along with the other remotely sensed images, was collected in order to provide spatially extensive information over the primary study areas at varying spatial scales. Objective/Purpose The primary objective for acquiring the GOES-8 images was to collect visible, infrared (IR), and water-vapor channel data covering the LBA-ECO study region at a sufficiently high temporal frequency for subsequent use in analyzing weather events and deriving temporal surface radiation parameters and patterns. Related Data Sets LBA-ECO CD-07 Gridded surface radiation and rain rate retrieved from GOES-8 Imager
• Data_Characteristics: <pre> Spatial Coverage: 01-Mar-1998 to 16-Jun-1998 16-June-1998 to 28-Feb-2001 Latitude Longitude Latitude Longitude ---------- ----------- ---------- ----------- Northwest 5 N 75 W 5 N 75 W Northeast 5 N 40 W 5 N 40 W Southwest 15 S 75 W 16 S 75 W Southeast 15 S 40 W 16 S 40 W <br> Spatial Coverage Map: Not available at this time. <br> Spatial Resolution: Channel 1: 1 km Channel 2: 4 km Channel 3: 8 km Channel 4: 4 km Channel 5: 4 km <br> Projection: GOES perfect. <br> Grid Description: Not available at this revision. <br> Temporal Characteristics: Temporal Coverage: The dataset provides covers the period of Mar. 1998 to Feb. 2001. <br> Temporal Resolution: The temporal resolution was 30 min. for Mar., Apr., Sep., and Oct., and was 3 hourly for the other months from Mar. 1998 <br> Data Format(s): The raw GOES-8 imager data set consisted of five bands, with the size of the images changing over the time. The following table describes the dates and sizes; the details of the formats are given in the text contained from here through Section 8.2.4. Start Time End Time Band of Bits of Lines of Pixels ----------- ---------- -------- ------- -------- --------- 01-Mar-1998 16-Jun-1998 visible 8 2192 6200 00:45 GMT 17:15 GMT IR2 8 548 1550 IR3 8 274 1550 IR4 8 548 1550 IR5 8 548 1550 02-May-1996 21-Oct-1996 visible 8 2296 6200 17:45 GMT 23:45 GM IR2 8 574 1550 IR3 8 287 1550 IR4 8 574 1550 IR5 8 574 1550 <br> A file of raw GOES-8 imagery contains a header record followed by visible, IR2, IR3, IR4, or IR5 data. The easiest way to distinguish between the file types is by the file name extension. Another way is through the size of the file. The information contained in bytes 1 to 4 of the header record should also contain the channel number information (see details below). However, because of an error in the FSU software, the channel number field in the header record for IR2, IR4, and IR5 images is the same. Therefore, the only way to distinguish channel 2, 4, 5 images is through the file name extension. <br> The multiple-byte numeric integer fields in the header are stored as low-order byte first. The decimal number fields are Institute of Electrical and Electronics Engineers (IEEE) 4-byte floating point values. The format and contents of the header record is: Bytes Description ------- -------------------------------------------------- 1 - 4 Band number (32-bit integer; low-order byte first) (0 == visible; 1 == IR2; 2 == IR3, 1 == IR4; 1 == IR5) (Note that because of an error in the FSU software, the band number field for IR2, IR4, and IR5 are the same. Based on this and the fact that the files are the same physical size, they cannot be distinguished on tape. BORIS staff was able to distinguish the files by reading the contents of a file sent by FSU that listed the files by type.) 5 - 8 Number of Pixels (32-bit integer; low-order byte first). 9 - 12 Number of Lines (32-bit integer; low-order byte first). 13 - 16 Decimal latitude of the center of the image in decimal degrees 17 - 20 Decimal longitude of the center of the image in decimal degrees. 21 - 132 Contents are unknown at this time. 133 - 140 Portions of the date and time as shown below. 141 - 8150 Contents are unknown at this time. </pre>
• Data_Application_and_Derivation: The GOES-8 images provide a high temporal resolution data set that would be useful for monitoring radiation loading and cloud development and movement over the LBA region.
• Quality_Assessment: Data Validation by Source: <br> Whatever the processing level, the geometric quality of the image depends on the accuracy of the viewing geometry. <br> Spectral errors could arise from image-wide signal-to-noise ratio, saturation, cross-talk, spikes, or response normalization caused by a change in gain. <br><br> Confidence Level/Accuracy Judgment:<br> Not given. <br><br> Measurement Error for Parameters:<br> Not given. <br><br> Additional Quality Assessments:<br> None given.
• Data_Acquisition_Materials_and_Methods: The SRB and precipitation data were created from raw GOES-8 imager data. The Imager data was obtained by Dr. Eric Smith at FSU using the FSU Direct Readout Ground System located in Tallahassee, FL.
• Data_Access:
• References: Menzel, W. P., and J. F. W. Purdom, 1994: Introducing GOES-I: The first of a new generation of geostationary operational environmental satellite. Bull. Amer. Meteor. Soc., 75, 757-781. <br> Kelly, K.A. 1989: GOES I-M image navigation and registration and user Earth location. GOES I-M Operational Satellite Conf., Arlington, VA, US. Department of Commerce, NOAA, 154-167. <br> Rossow, W.B., C.L. Brest, and M. Roiter, 1996: International Satellite Cloud Climatology Project (ISCCP) New Radiance Calibrations. WMO/TD-No. 736. World Meteorological Organization. <br> Rossow, W.B., C.L. Brest, and M.D. Roiter, 1995: International Satellite Cloud Climatology Project (ISCCP): Update of radiance calibration report. Technical Document, World Climate Research Programme (ICSU and WMO), Geneva, Switzerland, 76 pp. <br> Weinreb, M., M. Jamieson, N. Fulton, Y. Chen, J.X. Johnson, C. Smith, J. Bremer, and J. Baucom, 1997: Operational Calibration of the Imagers and Sounders on the GOES-8 and -9 Satellites. NOAA Technical Memorandum NESDIS 44.