USDA/GIS Update - Data, Products & Services
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Transcript of USDA/GIS Update - Data, Products & Services
U.S. Drought Monitor Forum
Reno, NV
April 14-16, 2015
Eric Luebehusen
Meteorologist & USDM Author
USDA – World Agricultural Outlook Board
USDA/GIS Update – Data, Products, and Services
In 2009, the initial use of Hydrological and Wx data
in GIS format to support drought depiction was
discussed…
We talked then about how authors
were going from hard-copy static
images to dynamic data in GIS
format to edit the USDM. It was a
relatively new idea.
-2009
In 2011, the expanded use of GIS data for USDM
editing was discussed, as well as some our needs as
authors…
At the time, a host of new GIS-compatible products had started to
appear, making our jobs easier and more accurate. Back then, the
new products included (but were not limited to) NOHRSC, WMS-
Radar, GFS (for the write up), VegDRI, AHPS, and WMO data.
More and more authors were using this GIS data to aid Dx depiction.
2009-2011
CSVWould like value vs color
*.bil displays
(very large filesize)
Geotiff (in house)
Hi-res SPI;
Still hoping
X
While we still were waiting on a high-resolution SPI dataset in GIS format, many
of the other requests had been addressed. Most authors were now using GIS data
to some extent for USDM editing. One particularly BIG development...
2011-2013
… ACIS station data, with many
thanks to Keith Eggleston at
NERCC, provided authors a way to
cross-check AHPS and helped us
better asses areas where AHPS had
accuracy issues.
2011-2013
Hi-res SPI via NC State (AHPS/PRISM)
Many thanks to Rebecca Cumbie @ NC State and
all who made the hi-res SPI (AHPS/PRISM)
available; this came online immediately after the
2013 USDM Forum.
2013-2015
Station-based SPI via HPRCC
Also, a huge debt of gratitude
to all at the HPRCC and
NDMC for making the SPI
station data available in GIS
format so authors can now
incorporate this directly into
the editing process as well.
2013-2015
Water-Year Station-based SPI
via HPRCC
The SPI from both new sources is
available out to many timescales, including
Water Year – a big help out west.
2013-2015
Water-Year Station-based SPI
via HPRCC
Another new background plotting option –
a WMS map from National Geographic
(and others) – provides authors a level of
detail never before imagined!
2013-2015
24-month Station-based SPI
via HPRCC
The SPI out to 24 months from HPRCC
certainly drives home the long-term
drought out west, though it would be nice
to get a 36-month option as well.
2013-2015
Long-term Pcp Data via HPRCC
Speaking of 36-month data, the HPRCC is
providing a 36-month precip (pnp) file in GIS-
readable format, which has proven very useful
for Dx depiction and news interviews.
2013-2015
36-month Hi-res SPI via NC
State (AHPS/PRISM)
The new AHPS/PRISM SPI from NC State
does go back 36 months, as seen here.
2013-2015
Radar Mask via NOAA, ROC
The NWS Radar Operations Center provided a
radar mask (in white; coverage at or below
10,000’) which can help guide authors to where
there may be issues with AHPS-derived data.
2013-2015
- Radar coverage at
or below 10,000’
Radar Mask via NOAA, ROC
The radar mask shows clearly where
topography interferes with the radar beam.
2013-2015
- Radar coverage at
or below 10,000’
Radar Mask via NOAA, ROC
Coupled with a plot of station type and
location, authors can easily identify areas
where we need to tread extra carefully.
2013-2015
- Radar coverage at
or below 10,000’
Gridded AHPS 7-Day Pcp For U.S.
Gridded AHPS Hourly Pcp For Eastern U.S.
A long-time standby, gridded
AHPS/MPE data has been used to
assess where and how much precip
fell. Previously, we had the last 7
days and beyond; now near real-time
hourly data at shorter time scales is
available east of the Rockies.
AHPS Derived Pcp: Departure
Gridded national precipitation departures at numerous
time scales (30 days shown here) allow authors to rapidly
identify possible drought-intensification candidates.
AHPS Derived Pcp: Water-Year
Pct of Normal
AHPS also provides percent-of-normal precipitation,
another guide in our USDM editing efforts.
AHPS Derived Pcp: Water-Year
Pct of Normal
The NWS-ROC radar “mask” helps identify potential
problem areas with AHPS; this is where the station data
can quickly support or question the data validity.
AHPS & ACIS: Water-Year
Pct of Normal
A bit messy, but the overlay of water-year ACIS station
data over AHPS has helped refine USDM editing efforts.
ACIS Station Pcp – NWS/WBAN
ACIS Station Pcp – CoCoRaHS
Speaking of station data, as
CoCoRaHS expands it takes what
were data-poor areas and makes them
a reliable source of detailed in-situ
information.
ACIS Station Pcp: All Sources
The composite of all data sources gives authors detail like
we never saw before in station observations.
ACIS Station Pcp – Water-Year Pct of Normal
ACIS Station Pcp – Water-Year Departure
As the database climatology
expands, derived products will also
improve, augmenting AHPS and
improving USDM efforts..
CPC 24m SPI - Gridded
CPC 24m SPI – Gridded Smoothed
NOAA/CPC was the first to provide
authors with a gridded station-based
SPI for GIS applications.
AHPS/PRISM 24m SPI (N.C. State)
This was augmented by the high-resolution SPI provided
by N.C. State and others after the ‘13 USDM Forum.
HPRCC 24m SPI
HPRCC W-Y SPI
The ability to turn on/off different
layers and map backgrounds has
further aided our drought depiction
efforts, as well as easily switch from
timeframe to timeframe.
NRCS SNOTEL Pcp
NRCS SNOTEL SWE
NRCS-SNOTEL data can be
directly imported into GIS, which
has been another big step in USDM
accuracy out West.
USFS Keetch-Byram Index
The U.S. Forest Service also provides data we can read
into GIS, including the Keetch-Byram Index.
NOHRSC Station Plots
While lacking a historical perspective,
NOHRSC station plots of snow depth
provide another source for assessing the
West snowpack.
WMO Temperature Data
At USDA, we are able to read in the WMO
temperature data… and other sources of
weather information are popping up in GIS
format from the NWS and WMO.
GRACE Soil Moisture
NLDAS Soil Moisture
NLDAS Runoff
While we lack in-situ soil moisture data,
derived soil moisture is available from
scientists/staff at NASA/Goddard (GRACE)
and NOAA’s Environmental Modeling
Center (NLDAS).
4km Vegetation Health Index (VHI)
The staff at NOAA/NESDIS supply a 4km
Vegetation Health Index dataset weekly in
GIS format.
Vegetation Drought Response Index (VegDRI)
VegDRI is supplied in GIS format on a
weekly basis from the staff at NDMC in
collaboration with the US Geological
Survey's (USGS) Center for Earth
Resources Observation and Science
(EROS), and the High Plains Regional
Climate Center (HPRCC).
NEXRAD WMS
GFS QPF (CPC)
Other data includes (but is not limited to)
WMS applications from the NWS (radar
base reflectivity shown) as well as GFS
forecast data from the NWS/CPC.
NLDAS Top 1m
We desperately need in-situ soil moisture
data to augment/verify modeled soil
moisture. It would be nice to get soil
moisture data from SCAN in GIS format,
as well as get NOAA soil moisture via
HCN (Historical Climate Network) to
NDMC to authors.
With funding from the USDA for drought-
related activities, USDA/WAOB entered a
cooperative agreement with the NDMC to
develop and expand infrastructure and GIS
capabilities. Included will be FTP servers
for authors as well as the public to
exchange GIS information and data in
support of the USDM.
Eric Luebehusen
Meteorologist & USDM Author
USDA, World Agricultural Outlook Board
Washington, D.C.
(202) 720-3361