For Earth Science Data Users ESIP 2013 Summer Meeting3July 9, 2013 The ability to take NASA HDF/HDF-EOS data – to be able to understand it, to process it, to extract value from it, to visualize it, to communicate it – thats a hugely important skill right now.
Is it easy to take NASA HDF data? ESIP 2013 Summer Meeting4July 9, 2013 No, for Average Joe data user.
Understand ESIP 2013 Summer Meeting5July 9, 2013 I'm new to IDL and HDF; and I'm currently working with MODIS L1B data. I found your examples very helpful. Is it possible to show how radiance is calculated ?
Process ESIP 2013 Summer Meeting6July 9, 2013 I work in NASA/GSFC GES-DISC on AIRS project. We have new idl version 8.1. But got a core dump error when we run EOS function EOS_SW_INQSWATH to inqure swath name from a AIRS level 2 product file. Need your help. Thanks.
Hi,I want to use the following TRMM data Can you provide me some programs that deal with these datasets so that I can obtain the daily convective precipitation in the region E,0- 40N during 2006 ? Extract Values ESIP 2013 Summer Meeting7July 9, 2013
Visualize ESIP 2013 Summer Meeting8July 9, 2013 Can you please make the matlab file for reading ozone hdf5 files obtained from mls available to the public. I wanted to obtain ozone distribution over the world and ozone distributions with height etc. thank you :) …. oh can you tell me which function can i use to plot latitude in the x-axis, pressure in the y-axis and a contour plot of ozone over it?
Communicate ESIP 2013 Summer Meeting9July 9, 2013 Your prog is very helpful to verify my process. I have one more doubt. I am trying to convert this hdf to Geotiff using Matlab. Do have any written code to do the same. Doing it with HEG tool given an error specifying that 5D are only supported for SOM projections. Also I am doing all processing with Matlab. So could you pl. help me.
NASA HDF Users See Challenges ESIP 2013 Summer Meeting10July 9, 2013 in accessing satellite-product-specific (MODIS, AIRS, MLS) geo-location/time-specific (lat/lon/height/year) data with their favorite software packages (MATLAB/IDL/ArcGIS).
What Makes Access Challenging? ESIP 2013 Summer Meeting11July 9, Some files use the techniques that end users may not be familiar with, although the techniques may help storing data efficiently. 2.Information from a source outside the files is required to retrieve the data in a physically meaningful manner. 3.Attributes do not comply with the widely used conventions. 4.Metadata in HDF file has incorrect information.
Challenge 1: Unfamiliar Techniques ESIP 2013 Summer Meeting13July 9, 2013 Users look for Latitude/Longitude datasets that match variable (e.g., Ozone) datasets. Some HDF products have mismatched lat/lon. lat/lon information in metadata attribute. duplicate lat/lon information.
Swath Dimension Map Example ESIP 2013 Summer Meeting14July 9, 2013 HDF-EOS Swath Dimension Map allows to have mismatched size in dimensions. Latitude Longitude Data
NSIDC AMSR_E NCL Example ESIP 2013 Summer Meeting15July 9, 2013 ; Read the file as HDF4 file to obtain dataset attributes. hdf4_file = addfile("AMSR_E_L3_WeeklyOcean_V03_ hdf", "r") ; Read the file as HDF-EO2 file to obtain lat and lon. hdf-eos2_file = addfile("AMSR_E_L3_WeeklyOcean_V03_ hdf.he2", "r") ; Read the file as HDF4 file to obtain dataset attributes. hdf4_file = addfile("AMSR_E_L3_WeeklyOcean_V03_ hdf", "r") ; Read the file as HDF-EO2 file to obtain lat and lon. hdf-eos2_file = addfile("AMSR_E_L3_WeeklyOcean_V03_ hdf.he2", "r") User should call both HDF4 and HDF-EOS2 API: HDF4 API alone cannot resolve lat/lon. HDF-EOS2 API alone cannot retrieve some attributes that are added later by HDF4 APIs.
Challenge 2: Information Outside HDF ESIP 2013 Summer Meeting16July 9, 2013 Users must read data product manual to find fill value / valid ranges units or discrete key values scale / offset equation physical description of data Some products are not self-describing!
Without Information Outside HDF ESIP 2013 Summer Meeting17July 9, 2013
With Information Outside HDF ESIP 2013 Summer Meeting18July 9, 2013
Challenge 3: The CF Conventions ESIP 2013 Summer Meeting19July 9, 2013 Following the widely accepted CF conventions is important for interoperability but some HDF products use non-alphanumeric characters. use non-CF attribute names and values. use non-CF scale / offset rules. use different data type for attribute (e.g., _FillValue) from the variable.
Challenge 4: Incorrect Information ESIP 2013 Summer Meeting21July 9, 2013 Sometimes, metadata contains incorrect information. This is rare and such information is usually corrected immediately by data producers.
Incorrect Information Example ESIP 2013 Summer Meeting22July 9, 2013 An NCL user reported that the same code doesnt work for an older MOP02 HDF-EOS5 file. In 2008/01/01 file, StructMetadata has the wrong value: nTime = In 2008/12/31 file, StructMetadata has the correct value: nTime= 2 LaRC ASDC fixed this already!
Good News ESIP 2013 Summer Meeting23July 9, 2013 The recent effort from The HDF Group overcomes many challenges: HDF4/HDF5 OPeNDAP Handler with EnableCF option H4CF Conversion Toolkit with NcML / NCO examples HDF-EOS5 Augmentation Tool HDF-EOS2 Dumper tool with Comprehensive Examples for MATLAB/IDL/NCL The above tools and their examples are available at HDFEOS.org.
Challenge 1: Unfamiliar Techniques ESIP 2013 Summer Meeting24July 9, 2013 HDF OPeNDAP handlers & H4CF Conversion Toolkit provide full geo-location information as explicit datasets. HDF-EOS5 Augmentation Tool provides ways to associate geo-location information with existing datasets or to supply new ones. HDF-EOS2 Dumper Tool prints out geo-location information in ASCII because MATLAB/IDL/NCL can read ASCII text data.
Challenge 2: Information Outside HDF ESIP 2013 Summer Meeting25July 9, 2013 HDF OPeNDAP handlers provide fill value / valid range information. apply CF scale / offset rule. calculate latitude and longitude values for some NASA non-EOS products. are tested against ncml_handler so that data centers can add additional information using NcML. H4CF Conversion Toolkit (h4tonccf) provides NcML and NCO examples to add or edit attributes for converted NetCDF files.
Challenge 3: The CF Conventions ESIP 2013 Summer Meeting26July 9, 2013 HDF OPeNDAP handlers & H4CF Conversion Toolkit flatten group hierarchies. change variable & attribute types, names, and values. add named dimensions. add coordinate information.
Challenge 4: Incorrect Information ESIP 2013 Summer Meeting27July 9, 2013 HDF OPeNDAP handlers & H4CF Conversion Toolkit correct errors for old products temporarily. catch errors for new products.
Better News ESIP 2013 Summer Meeting28July 9, 2013 We see less and less challenges in newer HDF products thanks to open communication and standardization effort among Earth Science communities through meetings, telecons, and mailing lists. HDF – DAACs Telecons ESDSWG – H5CF Conventions ESIP CF (satellite) conventions mailing lists
Future Challenges ESIP 2013 Summer Meeting29July 9, 2013 Data Discovery Subsetting and Aggregation Sharing Research Data
Data Discovery ESIP 2013 Summer Meeting30July 9, 2013 Some users still dont know how to search and where to download data. Spatial search in Reverb doesnt guarantee that the matched HDF data files contain the valid values at the specific location that user is looking for. Browse image is helpful but users dont want to examine one by one.
Reverb Browse Image for O3 at Seoul ESIP 2013 Summer Meeting31July 9, 2013 The returned HDF file has no value at Seoul
Subsetting and Aggregation ESIP 2013 Summer Meeting32July 9, 2013 Customized on-demand HDF product generation is desired based on the users query. For example, Give me all L2 Ozone data at Seoul from 2002 to 2013 and allow me to download it as a single HDF file. Most HDF data products are packaged in daily granule for large region. Search result returns thousands of HDF files and users cannot download them one by one.
Reverb Query Result for AIRS at Seoul ESIP 2013 Summer Meeting33July 9, 2013 Showing 1 to 9 of 5,047 granules
Sharing Research Data ESIP 2013 Summer Meeting34July 9, 2013 How can users easily compose and publish new research data from the different NASA data product sources? Id like to combine AIRS Ozone and OMI Ozone data at Seoul from and share it with journal editors. Can this be shared as a single URL query to NASA data cloud?
Acknowledgements ESIP 2013 Summer Meeting36July 9, 2013 This work was supported by Subcontract number under Raytheon Contract number NNG10HP02C, funded by the National Aeronautics and Space Administration (NASA) and by cooperative agreement number NNX08AO77A from the NASA. Any opinions, findings, conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of Raytheon or the National Aeronautics and Space Administration.