AIRS/AMSU-A/HSB Data Subsetting and Visualization Services at GES DAAC Sunmi Cho, Jason Li, Donglian Sun, Jianchun Qin and Carrie Phelps, Code 902, NASA.

Slides:



Advertisements
Similar presentations
WOCE Global Data V3 WOCE-DPC Report Nathan Bindoff and David M. Legler Co-Chairs, WOCE DPC WOCE Conference November 2002 All of it.
Advertisements

Objectives Define photo editing software
Using 3D-SURFER. Before you start 3D-Surfer can be accessed at For visualization.
Visible Satellite Imagery Spring 2015 ARSET - AQ Applied Remote Sensing Education and Training – Air Quality A project of NASA Applied Sciences Week –
An Overview of Satellite Imagery ARSET - AQ Applied Remote SEnsing Training – Air Quality A project of NASA Applied Sciences Originally presented as part.
User Services Experience GSFC DAAC MODIS Science Team Meeting Greenbelt, MD July 2002
Obtaining MISR Data and Information Jeff Walter Atmospheric Science Data Center April 17, 2009.
Problemsolving 2 Problem Solving: Designing a website solution Identifying how a solution will function Taking into account the technical constraints a.
NASA Goddard Earth Sciences (GES), Data Information Service Center (DISC), Distributed Active and Archive Center (DAAC), Greenbelt, MD - USA Gilberto Vicente,
GLIDER
Coordinated Energy and water-cycle Observations Peroject A Well Organized Data Archive System Data Integrating/Archiving Center at University of Tokyo.
MODIS Subsetting and Visualization Tool: Bringing time-series satellite-based land data to the field scientist National Aeronautics and Space Administration.
AERONET Web Data Access and Relational Database David Giles Science Systems and Applications, Inc. NASA Goddard Space Flight Center.
Liguang Wu, Jianchun Qin, A.K.Sharma, Sunmi Cho* and Carrie Phelps Goddard Earth Sciences DISC DAAC NASA Goddard Space Flight Center, Code 902 Greenbelt,
Western Air Quality Study (WAQS) Intermountain Data Warehouse (IWDW) WAQS-IWDW Tool Development Workgroup Webinar - Sept. 2, 2015.
StAR web server tutorial for ROC Analysis. ROC Analysis ROC Analysis: This module allows the user to input data for several classifiers to be tested.
December 5, 2002HDF-EOS Workshop VI1 The Goddard Earth Sciences Distributed Active Archive Center The Goddard Earth Sciences Distributed Active Archive.
Session 1 SESSION 1 Working with Dreamweaver 8.0.
UWG 2013 Meeting PO.DAAC Web Services Demo. What are PO.DAAC Web Services?
IVC : a simulation and model-fitting tool for optical-IR interferometry Abstract I present a new software tool, called “Interferometry Visibility Computations”
Why do I want to know about HDF and HDF- EOS? Hierarchical Data Format for the Earth Observing System (HDF-EOS) is NASA's primary format for standard data.
OpenDAP Server-side Functions for Multi-Instrument Aggregation ESIP Session: Advancing the Power and Utility of Server-side Aggregation Jon C. Currey (NASA),
U.S. Department of the Interior U.S. Geological Survey Access to MODIS Land Data Products Through the Land Processes DAAC John Dwyer and Carolyn Gacke,
, Key Components of a Successful Earth Science Subsetter Architecture ASDC Introduction The Atmospheric Science Data Center (ASDC) at NASA Langley Research.
September 4, 2003MODIS Ocean Data Products Workshop, Oregon State University1 Goddard Earth Sciences (GES) Distributed Active Archive Center (DAAC) MODIS.
ESIP Federation 2004 : L.B.Pham S. Berrick, L. Pham, G. Leptoukh, Z. Liu, H. Rui, S. Shen, W. Teng, T. Zhu NASA Goddard Earth Sciences (GES) Data & Information.
MODIS OCEAN QA Browse Imagery (MQABI Browse Tool) NASA Goddard Space Flight Center Sept 4, 2003
ORNL DAAC MODIS Subsetting and Visualization tools Tools and services to access subsets of MODIS data Suresh K. Santhana Vannan National Aeronautics and.
View_hdf Kam-Pui Lee Science Applications International Corporation CERES Data Management Team Linda Hunt Computer Sciences Corporation Atmospheric Sciences.
Aquarius Level-3 Binning and Mapping Fred Patt. Definitions Projection - any process which transforms a spatially organized data set from one coordinate.
NetCDF file generated from ASDC CERES SSF Subsetter ATMOSPHERIC SCIENCE DATA CENTER Conversion of Archived HDF Satellite Level 2 Swath Data Products to.
C OMPUTING E SSENTIALS Timothy J. O’Leary Linda I. O’Leary Presentations by: Fred Bounds.
Jianchun Qin, Liguang Wu, Michael Theobald, A. K. Sharma, George Serafino, Sunmi Cho, Carrie Phelps NASA Goddard Space Flight Center, Code 902 Greenbelt,
NASA Earth Observing System Visualization Tools ARSET - AQ Applied Remote SEnsing Training – Air Quality A project of NASA Applied Sciences Introduction.
Satellite Imagery ARSET - AQ Applied Remote SEnsing Training – Air Quality A project of NASA Applied Sciences NASA ARSET- AQ – EPA Training September 29,
Navigation and Ancillary Information Facility NIF Introduction to WebGeocalc October 2014 SPICE components and services are not restricted under ITAR and.
March 2004 At A Glance autoProducts is an automated flight dynamics product generation system. It provides a mission flight operations team with the capability.
Suhung Shen James G. Acker Denis Nadeau George Serafino Goddard Earth Sciences (GES) Data and Information Services Center (DISC) Distributed Active Archive.
Adobe Photoshop CS5 – Illustrated Unit A: Getting Started with Photoshop CS5.
Facilitating Access to EOS Data at the NSIDC DAAC Siri Jodha Singh Khalsa ECS Science Coordinator for the National Snow and Ice Data Center, Distributed.
Obtaining MISR Data and Information Nancy Ritchey Atmospheric Science Data Center March 20, 2006.
s Donna J. Scott, Marilyn Kaminski, Jason Wolfe, Terry Haran NSIDC's MODIS Snow and Sea Ice Products NSIDC provides a suite.
Vegetation Index Visualization of individual composite period. The tool provides a color coded grid display of the subset region. The tool provides time.
VIIRS Product Evaluation at the Ocean PEATE Frederick S. Patt Gene C. Feldman IGARSS 2010 July 27, 2010.
TSS Database Inventory. CIRA has… Received and imported the 2002 and 2018 modeling data Decided to initially store only IMPROVE site-specific data Decided.
Estimating Crop ET from Satellite Section 1. download satellite data and visualization-V8.
SAGExplore web server tutorial. The SAGExplore server has three different modules …
1 CALIPSO Search and Sub-setting Website Quick Tutorial.
Applying Pixel Values to Digital Images
ADPS Science Software Development Bryan Franz NASA Ocean Biology Processing Group Aquarius Data Processing Workshop, NASA/GSFC, March 2007.
Global Change Master Directory (GCMD) Mission “To assist the scientific community in the discovery of Earth science data, related services, and ancillary.
ORNL DAAC SPATIAL DATA ACCESS TOOL Open Geospatial Consortium (OGC) Services Bruce E. Wilson Suresh K. Santhana Vannan Yaxing Wei Tammy W. Beaty National.
HISTORICAL HIGHLIGHTS 1993 Coastal Zone Color Scanner (CZCS) data is archived at the Goddard Distributed Active Archive Center CZCS data files are.
Goddard Earth Sciences Data and Information Services Center, NASA/GSFC, Code 902, Greenbelt, Maryland 20771, USA INTRODUCTION  NASA Goddard Earth Sciences.
SPDF Science Advisory Group - September 29-30, 2005 Page 12/24/2016 9:09:48 PM Services of the Space Physics Data Facility (SPDF) / Sun-Earth Connection.
From Missions to Measurements: an Ocean Discipline Experience.
Monitoring Global Droughts from Space Zhong Liu 1,4, W.L. Teng 2,4, S. Kempler 4, H. Rui 3,4, G. Leptoukh 4, and E. Ocampo 3,4 1 George Mason University,
Obtaining MISR Data Nancy Ritchey Atmospheric Sciences Data Center May 16, 2004.
Adobe Photoshop CS4 – Illustrated Unit A: Getting Started with Photoshop CS4.
ORNL DAAC MODIS Land Product Subsets 1 Suresh K. Santhana Vannan, Robert B. Cook, Bruce E. Wilson, Lisa M. Olsen Environmental Sciences Division, Oak Ridge.
Introduction to THEMIS ISRO-NASA Mars Data Analysis Meeting February 22-25, 2016 Bengaluru, India.
NcBrowse: A Graphical netCDF File Browser Donald Denbo NOAA-PMEL/UW-JISAO
Photoshop CS6 – Nelson Unit 3: Photoshop CS6. Objectives Define photo editing software Start Photoshop and view the workspace Use the Zoom tool and the.
Zhong Liu George Mason University and NASA GES DISC
GML in CDI and CSR ISO using Ends&Bends
Getting Started with Adobe Photoshop CS6
Global Precipitation Data Access, Value-added Services and Scientific Exploration Tools at NASA GES DISC Zhong Liu1,4, D. Ostrenga1,2, G. Leptoukh4, S.
MERRA Data Access and Services
Intermountain West Data Warehouse
Data Discovery Tools and Services Part B
Presentation transcript:

AIRS/AMSU-A/HSB Data Subsetting and Visualization Services at GES DAAC Sunmi Cho, Jason Li, Donglian Sun, Jianchun Qin and Carrie Phelps, Code 902, NASA Goddard Space Flight Center, Greenbelt, Maryland, The AIRS Data Support Team at GES DAAC is developing tools to read, visualize, analyze and reformat AIRS/AMSU-A/HSB data as well as researching and enhancing various existing software packages to designed to handle the HDF-EOS data format (the AIRS standard format). This poster describes the AIRS data subsetting procedure and visualization tools available at the AIRS Data Support web page at GES DAAC. For Level1B products, sample images created by AIRS QuickLook are provided for a specific channel prior to downloading data. Global map is also provided along with image to show geographic coverage of the granule and flight direction of the spacecraft. Information on AIRS data and data analysis tools can be found at AIRS data support informational web site that provides access to various technical online documents, such as readmes, user’s data product guides, instrument guides, images from AIRS/AMSU-A/HSB data, product search and ordering interfaces, HDF-EOS format information, format conversion software, online data analysis tools, other AIRS related web links and more. Other data support services provided by the ADDST are assist with data mining, helpdesk for user questions on data and information, data ordering, and educational resources. Step 1: Select data product, temporal range and subset type Step 2: Select variables and range of channel (wavelength) Step 3: Review and submit criteria for subsetting Step 4: View sample image from the subsetted file Step 5: Download the subsetted data file and metadata file One can select channels using following options. 1. Type multiple ranges of channel or wavelength. 2. Select channels from the complete list of channels (frequencies). 3. If browser is Java capable, one can specify range of wavelength using atmospheric transmission graph to select AIRS IR channels. The AIRS/AMSU-A/HSB products contain radiance/brightness temperatures from 2401 channels (AIRS IR: 2378, VIS: 4, AMSU-A:15, HSB: 4) and various geophysical atmospheric variables. AIRS online subsetter allows one to download subset of data for only desired channels and variables. Graphical and text- formatted channel/variable selection feature enables user to specify criteria more efficiently. AIRS Data Services at GES DAAC AIRS Online Channel/Variable Subsetter AIRS Visualization Tools The list of variables for specified product is provided. It include geophysical parameters, navigational variables, such as, latitude, longitude, time, scan angle, etc, and QA flags. Click on the provided link to download your subsetted file. For further information on GES DAAC data product support and services for the AIRS and related data sets, please contact the AIRS Data Support Team at Selected criteria will be displayed including complete list of input files, channels, and variables. Estimated output volume is provided and input files can be de-selected at this step. Channel or/and variable subset can be performed for both Level1B and Level2 Data products that are available online AIRS Data Support Team has also developed IDL- based tools for AIRS/AMSU/HSB/VIS Level-1B data visualization. The tools can be classified into two categories: a granule-level visualizer and a multiple- granule stitching tool. The granule-level visualizer inverts brightness temperature from observed radiance (if needed) and allows users to scale the data automatically to achieve optimal use of the IDL color scale. Also provided on the image is a miniature global map to indicate the geographic location of the granule and flight direction of the spacecraft. Furthermore, the visualizer adopts a single pseudo satellite projection to minimize image distortion anywhere on the globe. A visible image of Super Typhoon Fengshen on July 20, 2002, is pictured to the left. This false color composite is produced using AIRS Vis/NIR band 1 (blue), 2 (green) and 3 (red) with spatial resolution of 2.3km x 2.3km at nadir. The corresponding brightness temperature image of the Super Typhoon Fengshen in the AIRS 11  m thermal band is pictured to the right. Fengshen reached Category 5 hurricane status, the most severe hurricane status, on the previous day with sustained winds at 145 knots (167 miles per hour). Granule-level AIRS 11  m brightness temperature images are stitched together and mapped onto a Hammer-Aitoff equal area projection to the left. Only the day-time granules are plotted in this global composite. The multiple-granule stitching tool is useful for obtaining regional or global views of AIRS/AMSU- A/HSB measurements on particular day. In order to get a consistent picture, brightness temperatures are mapped onto a fixed color scale. Finally, like the granule-level visualizer, it allows users to pick any band.