Application of HDF/HDF-EOS data to atmospheric and climate sciences at University of Illinois

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Information about Application of HDF/HDF-EOS data to atmospheric and climate sciences at...
Technology

Published on February 17, 2014

Author: HDFEOS

Source: slideshare.net

Description

Over the past decade, massive amounts of satellite data have been extensively used to explore atmospheric and climate sciences by Prof. Larry Di Girolamo's research group at University of Illinois. These data produced from multiple instruments on NASA's satellites(MISR,MODIS etc.) are in either HDF or HDF-EOS formats. In the presentation, we will briefly review how these data are processed and demonstrate the tools we have developed. Examples of the scientific applications of the data will be also given. In addition, we will discuss the technical supports we need to facilitate accessing and visualizing HDF/HDF-EOS data in the future.

Guangyu Zhao Prof. Larry Di Girolamo Department of Atmospheric Sciences University of Illinois at Urbana-Champaign

Experience with HDF/HDF-EOS data 1. HDF-EOS Datasets MODIS MISR ASTER CALIPSO

Experience with HDF/HDF-EOS data 1. HDF-EOS Datasets MODIS Level-1 data One orbit of MISR level-1 radiance product ~= 600 (Mb) x 1 + 200 (Mb) x 8 ~= 2.2 Gb Level-2 data ASTER One orbit of MISR level-2 cloud and aerosol products ~= 1 Gb Level-3 data (only monthly) 11-year ~= 100 Gb As of today, over 56300 orbits of data have been collected. In total ~= 200 Tb

Experience with HDF/HDF-EOS data 2. HDF data processing and visualization •Format Conversion •HDF ↔ Binary •HDF → Netcdf ASTER •Re-projection •Data fusion •Visualization •Image display and manipulation •Stereoscopic display

Passive Stereo Wall

Hurricane Alberto, August 11, 2000

Experience with HDF/HDF-EOS data 3. Computer languages •C/C++, Fortran (…<-shell scripts), Python •Matlab ASTER 4. Computer support from JPL •HDFscan, MISR toolbox…

Example : winter global map of cloud cover producing Data ordering from DAAC 3 month Level-1B data [2.5 Tb] Applying cloud mask algorithm Leve-2 cloud mask product [75 Gb] Level-3 cloud cover [20 Mb]

Example : winter global map of cloud cover validating MISR MODIS Data ordering from DAAC 3 month Level-1B data [2.5 Tb] Applying cloud mask algorithm Leve-2 cloud mask product [75 Gb] Level-3 cloud cover [20 Mb]

Application of HDF/HDF-EOS data MODIS Algorithm Development ASTER Science Exploration

Algorithm Development Winds [m/s] Heights [m] Courtesy of Kevin Mueller at JPL, California

Science Exploration Jan Zonal Monthly Mean (2000 ― 2009; ocean only)

Science Exploration Jul Zonal Monthly Mean (2000 ― 2009; ocean only)

Science Exploration Sep. 16, 2010

Computational Prospection •Data I/O Speed About 30% of computation time is spent on I/O… •File size > 50% of content not used •Visualization Synchronizing multiply fields from multiply HDF files Simple manipulation (+, -, x, G(L)T_mask,…) Fast, Fast, Fast!!!

Summary •We are willing to collaborate with HDF developers •Free software support is always welcome

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