PROGRAM MOD15A2_to_obs

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$Id: MOD15A2_to_obs.html 11441 2017-04-06 22:00:44Z $



MODIS Land Product Subsets (Collection 5) to DART Observation Sequence Converter

This routine is designed to convert the MODIS Land Product Subsets data of Leaf Area Index (LAI) and Fraction of Photosynthetically Active Radiation (FPAR) 8 day composite [MOD15A2] to a DART observation sequence file. According to the MODIS LAI/FPAR Product User's Guide:

Leaf area index (LAI; dimensionless) is defined as the one-sided green leaf area per unit ground area in broadleaf canopies and as one-half the total needle surface area per unit ground area in coniferous canopies.

Fraction of Photosynthetically Active Radiation absorbed by vegetation (FPAR; dimensionless) is defined as the fraction of incident photosynthetically active radiation (400-700 nm) absorbed by the green elements of a vegetation canopy.

Specifically, the composites are comma-separated-values (.csv format) ASCII files where each line is a record. The input .csv files are directly from the Oak Ridge National Laboratory DAAC. There are two streams to download the data formats we support, they differ only in the very first line of the file. One of the formats has a header record, the other does not. Other than that, the file formats are identical. The format with the header record is fully described in Please remember to cite the data in your publications, specific instructions from LP DAAC are available here. This is an example:

Data Citation: Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC). 2012. MODIS subsetted land products, Collection 5. Available on-line [] from ORNL DAAC, Oak Ridge, Tennessee, U.S.A. Accessed Month dd, yyyy.

For more information on downloading the data, see DATA SOURCES below. The MODIS Land Product Subsets page indicates that the Collection 5 MODIS Subsets are available three ways:

  1. Field Site and Flux tower. Since the files are preprocessed, the download is immediate. The current state of the converter supports this format.
  2. Global Tool. This requires exact knowledge of the location(s) of interest. Because some processing to fulfill the request is needed, a job is scheduled on the DAAC server and an email notification is sent with instuctions on how to retrieve the file(s) of interest. The converter does not currently support this format, but will soon. Worst case scenario is that you make your own header file and add your 'site' to the metadata file described below.
  3. Web Service. I have not used the Web Service.

The DART workflow is usually:

  1. download the MOD15A2 data for the sites and years in question (see DATA SOURCES below)
  2. build the DART executables with support for MODIS_LEAF_AREA_INDEX and MODIS_FPAR observations. This is done by running preprocess with obs_def_tower_mod.f90 in the list of input_files for preprocess_nml and then building MOD15A2_to_obs in the usual DART way.
  3. provide basic information via the input.nml:MOD15A2_to_obs_nml namelist
  4. convert each MODIS data file individually using MOD15A2_to_obs
  5. combine all output files for the region and timeframe of interest into one file using obs_sequence_tool

For some models (CLM, for example), it is required to reorganize the observation sequence files into a series of files that contains ONLY the observations for each assimilation. This can be achieved with the script.


This namelist is read from the file input.nml. Namelists start with an ampersand '&' and terminate with a slash '/'. Character strings that contain a '/' must be enclosed in quotes to prevent them from prematurely terminating the namelist.

   text_input_file = 'MOD15A2.fn_usbouldr.txt',
   metadata_file   = 'MOD15A2_site_metadata.txt',
   obs_out_file    = 'obs_seq.out',
   maxgoodqc       = 10,
   verbose         = .false.
Contents Type Description
text_input_file character(len=256) Name of the MODIS file of comma-separated values. This may be a relative or absolute filename.
metadata_file character(len=256) Name of the file that contains the location information for the specific sites. This may be a relative or absolute filename. If this file does not exist, it is presumed that the location information is part of the 'site' column. If this is not true, the program will fail. For more information see the section Presumed Format
obs_out_file character(len=128) Name of the output observation sequence file.
maxgoodqc real maximum value of any observation quality control flag to pass through to the output observation sequence. Keep in mind that filter has the ability to discriminate on the value, so there is really little to be gained by rejecting them during the conversion. The QC value is passed through in its native value, i.e. it is not converted to play nicely with observations that have values 0,1,2,3,4,5 etc.
verbose logical Print extra information during the MOD15A2_to_obs execution.


Field Site and Flux tower

The download site for the 'Field Site and Flux tower' data is Since the files are preprocessed, the download is immediate. This method results in files with the header record, and requires a small amount of additional work:

The data files have names like MOD15A2.fn_uswiirpi.txt or MOD15A2.fn_dehambur.txt  and have very long lines. The first line (i.e. record) of the file is a comma-separated list explaining the file format for all the remaining lines/records.

These files contain records with 49 pixel values where each pixel represents the values for a 1km by 1km voxel. The center pixel is the only value converted to a DART observation value.

MODIS_LAI % head -1 MOD15A2.fn_dehambur.txt

The format of the Site in these files is the predominant difference between the files from the download methods. The Site fields in these files have specified site names that must have a case-sensitive match to a site in the metadata file specified by input.nml:metadata_file .

Global Tool

This format is not supported yet.
The download site for the 'Global Tool' data is Because some processing to fulfill the request is needed, a job is scheduled on the DAAC server and an email notification is sent with instuctions on how to retrieve the file(s) of interest. This method requires exact knowledge of the location(s) of interest. MOD15A2_to_obs presumes prior knowledge of the file format and that the latitude and longitude are coded in the site name (which is the default behavior). Do not change the format of the file. Please follow the download instructions below - exactly. These instructions were accurate as of 11 April 2014.

  1. go to the DAAC download site for MODIS global data.
  2. Select either
    1. "Country" (it helps to FIRST clear out the values from the "lat/lon" boxes)
    2. or a specific latitude and longitude. Be precise. This will specify the center pixel location.
  3. click "Continue"
  4. Select the "[MOD15A2] Leaf Area Index (LAI) and Fraction of Photsyntetically Active Radiation (FPAR) 8 Day Composite" from the pull-down menu.
  5. Important: Specify 3 and only 3 kilometers to encompass the center location. This results in the 7 km by 7 km resolution required by MOD15A2_to_obs.
  6. click "Continue"
  7. select the Starting Date and Ending Date from the list. You can convert the entire dataset into one long DART observation sequence file and then subset it later if need be.
  8. Important: Make sure you check the button "Generate GeoTIFF and Reproject to Geographic Lat/long"
  9. Supply your REAL email address
  10. click "Continue"
  11. Review the confirmation page. Make sure the requested resolution and area is correct. You should see something like "The Requested Data Area is Approximately 7 Kilometers Wide and 7 Kilometers High"
  12. click "Continue"
  13. At some point later (perhaps even days), you will get an email with the subject "ORNL DAAC MODIS MOD15A2 order", follow the instructions to complete the download.

The resulting ASCII files will have the same format as described below. The 'site name' column for these files is of the form: Lat47.61666667Lon12.58333333Samp7Line7 which provides the location information otherwise provided by the MOD15A2_site_metadata.txt file for the predefined sites.

Web Service

I have not used the Web Service.


The data product "Leaf Area Index - Fraction of Photosynthetically Active Radiation 8-Day L4 Global 1km" (MOD15A2) is described in (expand the 'Layers' tab). The units and the QC values are described there. What I have not been able to determine is how to interpret the 'Date' ... if it is 2000049 ... It is day 49 of year 2000. Is that the start of the 8 day composite, the middle, the end? If you know the answer, please let me know.

Taken (almost) directly from and modified only slightly with examples more appropriate for the LAI/FPAR product.
The MODIS MOD15A2 products in question are ASCII files of comma-separated values. If the file contains a header record/line, all columns are interpreted based on this header column. If the file does not contain a header, the following format is REQUIRED.

Column Number Column Description Example Values
1 Unique row identifier MOD15A2.A2000049.fn_ruyakuts.005.2006268205917.Fpar_1km
2 MODIS Land Product Code MOD15A2
3 MODIS Acquisition Date
A2000049 ( ?this is an 8 day average)
What does 49 indicate? start? middle? end?
4 SiteID
Each site is assigned a unique ID. Click Here to get Site name information from SiteID
5 MODIS Processing Date (YYYYDDDHHMMSS) 2006269073558
6 Product Scientific Data Set (Band): Indicates type of values to follow. Specific values vary by Product. Data quality information are interleaved. MOD15A2: FparExtra_QC, FparLai_QC, FparStdDev_1km, Fpar_1km, LaiStdDev_1km, Lai_1km
7 to N Data values of type as specified. Number of data columns as given in Column 4. Definition of QC component values vary by Scientific Data Set. QC: 00100001,01100001,01100001, ...
Measurement: 2,2,1,1,1,1,1,0,0,0,1,1,0,0, to N

QC flags are binary-coded ascii strings e.g., 10011101 bits 5,6,7 (the last three) are decoded as follows:

Consequently, the last three digits are used by DART's data processing logic.


The MOD15A2_to_obs.f90 file is the source for the main converter program. Look at the source code where it reads the example data file. You will almost certainly need to change the "read" statement to match your data format. The example code reads each text line into a character buffer and then reads from that buffer to parse up the data items.

FIXME Explain the 10% for the obs error for FPAR and question the LAIStddev ...

To compile and test, go into the work subdirectory and run the quickbuild.csh script to build the converter and a couple of general purpose utilities. advance_time helps with calendar and time computations, and the obs_sequence_tool manipulates DART observation files once they have been created.

To change the observation types, look in the DART/obs_def directory. If you can find an obs_def_XXX_mod.f90 file with an appropriate set of observation types, change the 'use' lines in the converter source to include those types. Then add that filename in the input.nml namelist file to the &preprocess_nml namelist, the 'input_files' variable. Multiple files can be listed. Then run quickbuild.csh again. It remakes the table of supported observation types before trying to recompile the source code.

An example script for converting batches of files is in the shell_scripts directory. A tiny example data file is in the data directory. These are NOT intended to be turnkey scripts; they will certainly need to be customized for your use. There are comments at the top of the script saying what options they include, and should be commented enough to indicate where changes will be likely to need to be made.


See the general discussion in the observations introduction page about what options are available for the things you need to specify. These include setting a time, specifying an expected error, setting a location, and an observation type.




  1. Support for the data records without the header, as created by the Global Tool.
  2. The work that remains is to get the IGBP landcover code for the site and incorporate that into the observation metadata. I almost have everything I need. Once that happens, the forward observation operator can be made to be much more accurate by only using model landunits that have the right landcover class.

Terms of Use

DART software - Copyright UCAR. This open source software is provided by UCAR, "as is", without charge, subject to all terms of use at

Contact: Tim Hoar
Revision: $Revision: 11441 $
Source: $URL: $
Change Date: $Date: 2017-04-06 16:00:44 -0600 (Thu, 06 Apr 2017) $
Change history:  try "svn log" or "svn diff"