LDAS FAQ
Please also check the
Hydrology Disc FAQ
at the NASA
GES DISC
for questions/answers regarding LDAS data products.
If the answer you are looking for is not found at the
above FAQ or below, please
contact us.
General:
Q. Where can I find LIS data?
Q. Can I download LDAS data subsetted by region and/or variable?
Q. Is LDAS data provided in UTC time or local time? Does it account for daylight savings?
Q. Where can I find the GRIB tables (gribtabs) for LDAS DATA?
Q. What tools are available to help with the LDAS GRIB data?
Q. How can I convert LDAS GRIB data into ASCII?
Q. Is there a mailing list for updates on LDAS data?
GLDAS:
Q. What is the latency for GLDAS data?
Q. WGRIB gives a different variable name. Am I reading the GRIB file correctly?
Q. Does "soilm1" correspond to the top or bottom soil layer?
Q. Is GLDAS data avaiable in other than GRIB format?
Q. What data are integrated/assimilated into GLDAS?
NLDAS:
Q. Where is the latest real-time NLDAS forcing and model data?
Q. Are monthly NLDAS datasets available?
Q. Are daily NLDAS datasets available?
Q. What is the difference between NLDAS Phase 1 (NLDAS-1) and NLDAS Phase 2 (NLDAS-2)?
Q. What is the difference between NLDAS datasets at NASA and at NOAA/EMC?
Q. Does the precipitation variable include snowfall?
Q. Can you explain the components of the evaporation in the NLDAS-2 Mosaic and Noah output?
Q. What is the average surface skin temperature in the NLDAS-2 Mosaic and Noah output?
Q. Why is the canopy conductance undefined/wrong in NLDAS-2 Mosaic output after 9 March 2008?
Q. What value was used for the soil heat capacity in the Mosaic model for NLDAS-1 and NLDAS-2?
Q. Is there a mask for over CONUS for the NLDAS grid?
Q. What geographic coordinate system was used to generate the NLDAS grid?
Q. Is there a shapefile available for the NLDAS grid?
Q. Are there any tips or advice on downloading NLDAS data?
General:
Q. Where can I find LIS data?
A. The
Land Information System (LIS)
is a flexible land-surface modeling and data assimilation software
framework developed here at
NASA Goddard
within the
Hydrological Sciences Laboratory.
GLDAS and
NLDAS are specific uses of the
LIS software, and these LDAS projects have produced land-surface
forcing data and model output going back many decades and continuing
to near real-time. Links to download GLDAS and NLDAS data are
located on the right side of this FAQ. There is no "LIS data" -
unless, of course, you use LIS yourself to generate your own!
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Q. Can I download LDAS data subsetted by region and/or variable?
A. Yes, it is now possible to subset both GLDAS and NLDAS datasets
by region and/or by variable using the GES DISC's
Mirador
search tool. Just go to the
Data Holdings
page, and click the "Mirador Search" column for the dataset desired.
For additional help, please see these news articles from the
GES DISC about the on-the-fly subset service for the
GLDAS and
NLDAS
datasets.
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Q. Is LDAS data provided in UTC time or local time? Does it account for daylight savings?
A. All LDAS data is provided in
Coordinated Universal Time (UTC).
There is no accounting for daylight savings. For assistance
converting between UTC and a particular location by date,
please visit the
World Clock Time Zone Converter.
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Q. Where can I find the GRIB tables (gribtabs) for LDAS DATA?
A. GRIB tables for LDAS data (GLDAS and NLDAS) as stored
on the NASA Hydrology DISC can be found on the GES DISC
documentation website.
For more information on how to use these gribtabs
with the GLDAS and/or NLDAS data, please see the
GLDAS-1 README,
GLDAS-2 README,
NLDAS-1 README, and
NLDAS-2 README files.
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Q. What tools are available to help with the GRIB data?
A. Two extremely useful tools for processing the LDAS data in
GRIB-1
format are
WGRIB and
grib2ctl.pl.
More documentation about
GRIB data
can be found at NCEP.
Climate Data Operators (CDO)
are also useful to manipulate and analyze GRIB data. Another useful
tool is
NCL, which
handles GRIB-1/GRIB-2 trivially. NCL has all the GRIB lookup tables
built-in. Further, it has two command line utilities: "ncl_filedump",
which creates a printed overview of the file contents, and
"ncl_convert2nc", which converts GRIB-1/GRIB-2 to netCDF adhering to
the Climate and Forecast netCDF convention.
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Q. How can I convert LDAS GRIB data into ASCII?
A. The WGRIB tool can easily convert the LDAS GRIB data into ASCII.
Here's a sample command, which will dump the first record in the
GRIB file named "FILENAME" into an ASCII text file named "output.txt":
wgrib -d 1 FILENAME | wgrib -text -i FILENAME -o output.txt
Please see the WGRIB documentation for additional options and
assistance. LDAS datasets can also be obtained in ASCII via
the GDS at the GES DISC, as detailed
here.
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Q. Is there a mailing list for updates on LDAS data?
A. Yes. Yes, there is!
Users of NLDAS and GLDAS datasets are encouraged to join the
LDAS mailing list for updates on new data releases, new
data releases, data reprocessing, and data delays or outages.
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GLDAS:
Q. What is the latency for GLDAS data?
A. Currently, GLDAS data at the NASA
GES DISC
is updated at about a month delay. The updates are made usually in
the middle of each month.
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Q. WGRIB gives a different variable name. Am I reading the GRIB file correctly?
A. When you are not using the GLDAS GRIB table (gribtab), the names of
the variables do not appear correctly. For example with GLDAS data,
the rainfall rate is called 4LFTX and a WGRIB message "using
NCEP-opn" appears. One way to ensure is to use KPDS values as
guidance using "wgrib -v". The KPDS value for rainfall rate is 132.
The PDS values are specified in Table 2 of the
GLDAS-1 README and
GLDAS-2 README files.
Depending on the version of WGRIB and the operating system, the use
of the GRIB table can be established through setting the environment
and/or having a copy of gribtab in the working directory where WGRIB
is issued. Please refer to "Reading the Data" section of the readme
file for setting the environment. The GRIB tables are available from
the GES DISC
documentation website.
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Q. Does "soilm1" correspond to the top or bottom soil layer?
A. The order of soil layers in the GLDAS datasets goes from bottom to
top. For example, the first record for soil moisture in NOAH is the
lowest 100-200 cm, followed by the 3rd layer 40-100cm, the 2nd layer
10-40cm, then the top 0-10cm layer. This order applies to the soil
temperature as well. One way to confirm is to check the values: soil
moisture amounts increase as layer depths increase.
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Q. Is GLDAS data avaiable in other than GRIB format?
A. Yes, GLDAS dataset is also available in NetCDF format using the GES DISC's
Mirador
search tool. Just go to the
Data Holdings
page, and click the "Mirador Search" column for the dataset desired.
Please follow the step-by-step instruction in the news article from the
GES DISC about the netCDF conversion service for the
GLDAS
dataset.
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Q. What data are integrated/assimilated into GLDAS?
A. Data are integrated within GLDAS as static parameter fields, as meteorological forcing,
and through the process of data assimilation. Parameter fields include vegetation type
and properties derived from AVHRR and MODIS, soil properties from the USDA, and elevation
from GTOPO30 (see
GLDAS vegetation page).
Meteorological forcing datasets include downscaled NOAA Climate Prediction Center (CPC)
Merged Analysis of Precipitation (CMAP), Air Force Weather Agency solar radiation, and
NOAA Global Data Assimilation System (GDAS) air temperature, surface pressure, wind speed,
land specific humidity (see
GLDAS forcing page).
Currently, the only data that GLDAS integrates through data assimilation is MODIS snow cover
in the 0.25 degree Noah simulation. We have developed an technique for assimilating GRACE
terrestrial water storage data, but that has not been used in GLDAS. We do assimilate GRACE
data into a separate stand-alone simulation of the Catchment land surface model which is
then used to diagnose drought. For more information, see the
NDMC website.
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NLDAS:
Q. Where is the latest real-time NLDAS forcing and model data?
A. The real-time NLDAS Phase 2 (NLDAS-2) forcing and model output
data is currently in production at
NOAA/NCEP/EMC.
Automated scripts and programs gather and process the data needed to
generate the NLDAS-2 forcing datasets. These scripts/programs run
once per day, and update one day's worth (typically 12Z to 12Z) of
forcing. This forcing data is then used to drive the various
land-surface models to produce the model output. Scripts archive
the data at the NASA
GES DISC,
as well as at the
NCEP/EMC realtime NLDAS ftp site.
The very latest available data can be found at either of the previous
two links.
The NLDAS-2 forcing currently is available around 4 days behind the
current date. Long-time users of NLDAS products will note that this
is a slightly longer delay than the 2-3 day data latency that was
typical from NLDAS Phase 1. The primary reason for this is that
the NARR model data used in the generation of NLDAS-2 forcing is
currently in a quasi-operational mode and not available as early as
the model data used in the generation of NLDAS-1 forcing. The
NLDAS-2 model output data may be delayed another day, as an entire
day's worth of forcing is needed for the model simulations. Also,
GDS
data may be behind by another couple days, as the updated index file
is generated. Occasionally, problems with the data used to create
NLDAS-2 forcing and/or disk/computer issues will cause a further delay.
NLDAS participants
are aware of these delays and are working hard to restore the data to
make it as current as available. If you need further assistance,
please e-mail the
NLDAS Technical Contact.
DISCLAIMER: NLDAS data should be used for research or educational
purposes only. This data should NOT be relied on for operational
use as data gaps can occur due to hardware failure and/or model
upgrading procedures.
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Q. Are monthly NLDAS datasets available?
A. Yes, monthly NLDAS datasets for NLDAS-1 forcing, NLDAS-2 forcing,
NLDAS-2 Mosaic, and NLDAS-2 Noah are now available from the
GES DISC.
Please see the updated
NLDAS-1 README
and
NLDAS-2 README
files for details about the creation and content of these datasets.
The latest month of data will typically be available around 10-15
days after the beginning of the following month. Monthly climatology
datasets are also available.
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Q. Are daily NLDAS datasets available?
A. Daily NLDAS datasets are not currently available, and there
are no immediate plans to make them available. The NLDAS
group has received many requests for these datasets; however,
some users have requested 00Z-00Z averages, some requested
12Z-12Z averages, and some requested 00LST-00LST averages.
If you need daily averages, please download the hourly NLDAS
datasets and create your own daily datasets.
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Q. What is the difference between NLDAS Phase 1 (NLDAS-1) and NLDAS Phase 2 (NLDAS-2)?
A. This is the most popular NLDAS question. Hopefully, below you
can find an appropriately short yet fully detailed answer! For
further information, please refer to the
NLDAS-1 Forcing,
NLDAS-1 Model,
NLDAS-2 Forcing, and
NLDAS-2 Model pages.
The most significant difference is the time frames of the datasets.
NLDAS-1 is available from mid-1996 to the end of December 2007.
NLDAS-2 is available from January 1979 to near real-time.
Another major difference between the two phases of NLDAS is the
sources of model data and observations used to create the respective
forcing datasets. NLDAS-1 uses the 40-km NCEP Eta model-based Data
Assimilation System
(
EDAS)
for the surface meteorology, while NLDAS-2 uses the 32-km
NARR
system. For downward shortwave radiation at the surface, NLDAS-1
uses
GOES-based
satellite retrievals, with EDAS data used when/where not available;
NLDAS-2 uses GOES data to bias-correct the NARR shortwave radiation.
Both NLDAS-1 and NLDAS-2 use a 1/8th-degree
CPC daily
gauge analysis as the source of the precipitation forcing. This
analysis is PRISM-adjusted and was produced by the CPC using a least
squares distance weighting scheme. NLDAS-2 uses this analysis over
the entire data record, while NLDAS-1 used this analysis from 2002
onward. For the period 2002 and before (in the NLDAS-1 data only),
the other daily gauge analysis used was a daily 1/4th-degree CPC
product, which was generated using a Cressman analysis and
interpolated by the NLDAS team to 1/8th-degree using the budget
bilinear method.
During the period when the 4-km hourly Doppler radar
Stage II
precipitation estimates are available (mid-1996 to present) over
CONUS, both NLDAS-1 and NLDAS-2 first use these hourly estimates
to temporally disaggregate the daily gauge analysis into hourly
precipitation. If the radar estimates are not available (due to
maintenance or coverage issues), the additional hourly datasets
used to calculate the weights differ between NLDAS-1 and NLDAS-2.
In NLDAS-1, the EDAS precipitation data is used over CONUS, Canada,
and Mexico. In NLDAS-2 over CONUS or Mexico, 8-km half-hourly
CMORPH
satellite-retrieved estimates (2002 to present) are used if Stage
II is not available. If CMORPH is unavailable, such as before 2002,
the 2 X 2.5 degree CPC Hourly Precipitation Dataset
(
HPD)
is used. If the HPD is also unavailable, then the NARR precipitation
data is used. Over Canada, only NARR precipitation is used due to
poor gauge coverage, with a 1-degree blending applied at the
U.S.-Canada border.
The hourly estimates from the radar, CMORPH, HPD, EDAS, or NARR are
only used to calculate the weights for the temporal disaggregation;
the daily sum of the hourly NLDAS precipitation will be equal to the
daily gauge analysis from the CPC. In addition, over CONUS, the
hourly precipitation from both the NLDAS-1 and NLDAS-2 precipitation
should be nearly identical when/where the hourly radar estimates are
available. Small differences between NLDAS-1 and NLDAS-2 may still
be present, however, owing to the 1/4th-degree daily gauge analysis
used in NLDAS-1 before 2002 or to the nature of the amount/quality of
precipitation gauge observations and radar estimates used between
retrospective or real-time data productions. Further details about
the NLDAS-2 precipitation can be found in the
Appendix C
section describing the NLDAS-2 forcing data.
Several significant attributes are identical between the NLDAS-1 and
NLDAS-2 datasets. They are both on the 1/8th-degree NLDAS grid and
available hourly. The vegetation, soils, and elevation datasets used
are also identical. The same four land-surface models (Mosaic, Noah,
SAC, and VIC) are also used in both NLDAS-1 and NLDAS-2, although
the models underwent some upgrades and corrections between the two
phases of NLDAS. For more on these model improvements, please see
Section 2.3 of
Xia et al. (2012, Part 1). The spin-up procedures between
NLDAS-1 and NLDAS-2 do differ, owing the different time periods
between them.
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Q. What is the difference between NLDAS datasets at NASA and at NOAA/EMC?
A. NLDAS datasets are available at both the NASA
GES DISC
(for both retrospective and real-time)
and at NOAA/EMC's ftp sites for NLDAS
retrospective
and
real-time
simulations. Datasets from either NASA or from NOAA/EMC can be used,
and the fields in the datasets are identical, except where noted below.
The file name conventions are also different between NASA and NOAA/EMC,
as well as the directory structures. Within each year, NASA uses the
ordinal date
while NOAA/EMC uses YYYYMMDD. The GRIB tables and a few PDS GRIB values
also differ between the NLDAS datasets at NASA and at NOAA/EMC. GRIB
tables and documentation for NLDAS data as stored at the NASA GES DISC
are found on their
documentation website.
For NLDAS-2 Mosaic, the NOAA/EMC retrospective data provides the
vegetation cover as a fraction (from 0 to 1) while the real-time
data from NOAA/EMC is provided as a percentage (from 0 to 100).
All NLDAS-2 Mosaic vegetation cover data provided at the NASA
GES DISC is in units of fraction.
For NLDAS-2 Noah, NOAA/EMC provides the albedo and the moisture
availability variabes in units of fraction, while the NASA GES
DISC provides these variables in units of percentage. NOAA/EMC
provides the net shortwave, net longwave, and ground heat flux
with signs reversed from the traditional ALMA direction for
general energy balance components. For these variables at
the NASA GES DISC, the signs are reversed from the NOAA/EMC data,
and these three variables have the sign correct in the traditional
direction. Finally, the units of the snow water-equivalent in the
NOAA/EMC data are in meters, while in the NASA GES DISC data, the
units are in kg/m^2 (or millimeters).
For NLDAS-1 Forcing, some PDS variable ID numbers were changed for
the datasets at the NASA GES DISC to prevent confusion, as the data
at NOAA/EMC uses the identical PDS ID values for several variables.
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Q. Does the precipitation variable include snowfall?
A. The precipitation fields in the NLDAS-1 Forcing files and in the
NLDAS-2 Forcing "A" and "B" files represent the total precipitation,
including both rain and snow. The land-surface models each have
their own individual method to determine how this total precipitation
reaches the land-surface (as rain, snow, or some combination).
Typically, the near-surface air temperature from the forcing at the
same time interval as the precipitation is used to determine rain or
snowfall. The NLDAS-2 Mosaic and Noah model output files contain rainfall
and snowfall fields as a result of their individual methods.
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Q. Can you explain the components of the evaporation in the NLDAS-2 Mosaic and Noah output?
A. There are four evaporation components of the total latent heat flux
in the NLDAS-2 Mosaic and Noah datasets. They are as follows (with
PDS ID number, variable names, full description, and units):
199:EVBSsfc:Direct evaporation from bare soil [W/m^2]
200:EVCWsfc:Canopy water evaporation [W/m^2]
198:SBSNOsfc:Sublimation (evaporation from snow) [W/m^2]
210:TRANSsfc:Transpiration [W/m^2]
These variables correspond to the following
evaporation components of the ALMA standard:
NLDAS names ALMA names ALMA description/units
----------- ---------- ----------------------
EVBSsfc ESoil Evaporation from bare soil [kg/m2s]
EVCWsfc ECanop Evaporation from canopy interception [kg/m2s]
SBSNOsfc SubSnow Total sublimation from the ground snow pack [kg/m2s]
TRANSsfc TVeg Transpiration from canopy [kg/m2s]
For both NLDAS-2 Mosaic and Noah, the total latent heat flux is:
121:LHTFLsfc:Latent heat flux [W/m^2]
For NLDAS-2 Mosaic, these components are defined as positive in the
downward direction, which is the opposite direction as the traditional
ALMA standard for these variables. However, the latent heat flux for
NLDAS-2 Mosaic is defined as positive in the upward direction, which
means that the latent heat flux is roughly equal to the
negative
of the sum of these four components for NLDAS-2 Mosaic:
LHTFLsfc ~= -(EVBSsfc + EVCWsfc + SBSNOsfc + TRANSsfc)
Note that the sign of the SBSNOsfc variable only switched directions
within the NLDAS-2 Mosaic datasets on and after 9 March 2008.
For NLDAS-2 Noah, these components and the latent heat flux are all
defined as positive in the upward direction. The latent heat flux
is roughly equal to the sum of the four evaporation components:
LHTFLsfc ~= EVBSsfc + EVCWsfc + SBSNOsfc + TRANSsfc
For both NLDAS-2 Noah and Mosaic, there is another energy term
that describes the snow phase-change heat flux:
229:SNOHFsfc:Snow phase-change heat flux [W/m^2]
The SNOHFsfc can be thought of as roughly identical to the sum
of the Qsm and Qfz terms (albeit, in different units) from the
ALMA standard.
When comparing these four evaporation components and the SNOHFsfc
variable between NLDAS-2 Mosaic and Noah, please reverse the sign
for these five variables from NLDAS-2 Mosaic.
Additionally, another term for the total evapotranspiration
(in mass units) can be found here:
057:EVPsfc:Total evapotranspiration [kg/m^2]
The EVPsfc variable is in mass units and the LHTFLsfc variable is
in energy units, but both represent the total upwards water flux.
A unit conversion between the two variables (assuming a constant
latent heat of vaporization value) shows that the values of
these variables should be roughly equal.
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Q. What is the average surface skin temperature in the NLDAS-2 Mosaic and Noah output?
A. NLDAS-2 Mosaic and Noah provide the hourly instantaneous surface
skin temperature (aka, the temperature at exactly 00 minutes of
every hour - not the average temperature over the entire hour).
The "average" here refers to the average over the entire grid
box for all vegetation, bare soil, and snow skin temperatures.
For more on the definition of the AVSFTsfc variable, see the
"
AvgSurfT"
description at the
ALMA standard
pages.
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Q. Why is the canopy conductance undefined/wrong in NLDAS-2 Mosaic output after 9 March 2008?
A. On 9 March 2008, the NLDAS-2 Mosaic data was transferred from the
retrospective stream (starting back from Jan 1979) to the real-time
simulations. Unfortunately, the canopy conductance is not properly
defined in the real-time NLDAS-2 production. There are no plans to
correct this in the NLDAS-2 Mosaic hourly or monthly output data.
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Q. What value was used for the soil heat capacity in the Mosaic model for NLDAS-1 and NLDAS-2?
A. The value used for Mosaic in NLDAS-1 is 175,000 J m-2 K-1, while
the value used for Mosaic in NLDAS-2 is 70,000 J m-2 K-1. The
name of this variable in the Mosaic code is "CSOIL0". The reason
for this difference is explained in detail in Section 5.3 within
Robock et al. (2003).
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Q. Is there a mask for over CONUS for the NLDAS grid?
A. Yes, GrADS binary mask and control files, as well as a
sample FORTRAN program to read the mask, are available
here.
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Q. What geographic coordinate system was used to generate the NLDAS grid?
A. No particular geographic coordinate system was consulted when the
NLDAS grid was originally configured. The grid boxes are simply
1/8th-degree boxes with the center of the lower-left grid box at
25.0625 N and 124.9375 W. The details of the grid are available
here and
here.
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Q. Is there a shapefile available for the NLDAS grid?
A. Yes, a shapefile (and associated files) for GIS can be found
here.
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Q. Are there any tips or advice on downloading NLDAS data?
A. The
wget
tool is very helpful to easily downloading GRIB-1 format data from the
NLDAS ftp site.
An example command is found below - please check the wget options
before running a similar command on your end. This example will
download an entire year's worth of GRIB data (approx. 14 GB!),
so proceed with
caution. Here are the wget options used:
- (-A grb) = download only the GRIB (grb) files
- (--timeout=20 -t inf) = download data until a timeout occurs of 20
seconds, after which it will try again infinitely until successful
- (-nH) = disable generation of directories with the host name
- (--cut-dirs=5) = disable generation of the first 5 sub-directories
on the local disk
- (-r) = turn on recursive retrieving
- (-c) = continue any partially-downloaded files
- (-o log) = output message to a local file named "log"
This example will download the 2009 NLDAS-2 "forcing a" files
into 365 directories on your local disk - one for each Julian
date (aka,
ordinal date)
of the year (001, 002, 003, ..., 365 [or 366]):
wget -A grb --timeout=20 -t inf -nH --cut-dirs=5 -r -c -o log \
ftp://hydro1.sci.gsfc.nasa.gov/data/s4pa/NLDAS/NLDAS_FORA0125_H.002/2009/
The above example should be entered as one line; be sure to remove
the "\" backslash. You can use wildcards on the command line to
grab specific or multiple years/months/days of data.
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