Title: NRCS GIS Products and Visualization
1NRCS GIS Products and Visualization Tom Pagano,
J Erxleben, T Perkins, P Pasteris
Tom.Pagano_at_por.usda.gov 503 414 3010 Natural
Resources Conservation Service
2Who we are/What we do Past practices What we
produce What we consume Musings and Conclusions
3NRCS Water and Climate Services 2005
Tom Perkins, Dave Garen, Jim Marron, Phil
Pasteris, Jennifer Erxleben, Jolyne Lea, Tom
Pagano
4NRCS Water and Climate Services 2005
Missouri Platte, Alaska
Colorado Rio Grande Arkansas
Climate Data
Columbia Snake
Pacific Coast
Management
Modeling Research
Tom Perkins, Dave Garen, Jim Marron, Phil
Pasteris, Jennifer Erxleben, Jolyne Lea, Tom
Pagano
5Location
6Location
Time Period
Historical Average
7Location
Time Period
Historical Average
Error Bounds
50 exceedence
8Seasonal water volume forecasts Issued
monthly/bi-monthly January-June Primary drivers
snowpack, antecedent precipitation Coordinated
with NWS
9Some maps of driver conditions
10NRCS forecast visualization past practices
11Primary suite of user products dates to
1950s Products available after forecasts
finished
12Until 2004, forecaster interface text based, no
visualization
13 New realtime data streams that are now available
from NRCS
14Daily values updated 5x daily (6,8,10,14,2000)
15Anything in the maps is also available in .csv
format
16(No Transcript)
17Normal
Water year precip
Normal
Snow water
18Normal
Current as normal
Water year precip
Normal
Snow water
19Normal
Current as normal peak
Water year precip
Normal
Snow water
20Normal
Month to date normal
Water year precip
Normal
Snow water
21Normal
Month to date monthly normal
Water year precip
Normal
Snow water
22Percentile ranking with respect to period of
record
23Is this a New record? Near record?
24Some limited products merging ACIS (NWS) and
SNOTEL (NRCS)
25(No Transcript)
26Working with PRISM to get better
climatologies -- just added wed 7/14 day T anom
w/ Acis
27 Data streams available but not yet automated
(i.e. episodic)
28Maps of historical snow water conditions, back to
the 1910s
29Limited but improving access to soil moisture data
Oct 1 2004
Soil moisture depth-averaged
30April 1 2004 Snowpack of average
NRCS Snowcourse and Snotel Networks Provisional
Data - Subject to Revision
31April 1 2004 Water Supply Forecasts of average
NRCS Snowcourse and Snotel Networks Provisional
Data - Subject to Revision
32 Seizure warning
33Reservoir contents
34June 1st 2004Surface Water Supply
Indexconsiders streamflow and reservoir storage
in a historical contextHas non-insignificant
cross-state homogeneity issues
35Forecaster interface 2005
36Maps of period of record official forecast skill
Better
Worse
37Correlation of Apr 1 snow with summer streamflow
Worse
Better
Arkansas R nr Salida, CO
38 Not necessarily GIS but cool nonetheless
39May 1 2005 Water Supply Forecasts - Colorado
River
Legend
Warren Bridge
87
97
New Fork
Apr 1 Forecast as normal
82
Granby
91
lt70
100-110
Fontenelle
110
Green Mountain
80
70-80
110-120
76
Big Sandy
Dotsero
80-90
120-150
Flaming Gorge
90
78
Eagle
90-100
gt150
L Snake
99
Duchesne
Roaring Fork
Yampa
85
81
209
Cameo
Gunnison nr Gunnison
75
1971-2000 Apr-Jul Normal Flow (kaf)
100
White
Blue Mesa
NF Gunnison
8000 4000 2000 1000 500 250
Tomichi
98
68
143
Green
104
100
97
Cisco
115
Lake Fork
111
Gunnison Grand Junction
108
108
Powell Inflow
Animas
Vallecito
Uncompahgre
143
161
171
173
153
Carracus
Navajo
Bluff
40Stampede Pass SNOTEL Snow Water
Hist
2005
41Stampede Pass SNOTEL Snow Water
Hist
2005
Yakima Headwaters 5/5/2005 Normally would see no
breaks
42Stampede Pass SNOTEL Snow Water
Hist
2005
Yakima Headwaters 5/5/2005 Normally would see no
breaks First time snow free since 1940 Normal
snow depth 1 May 8 feet
43Midway Valley SNOTEL Snow Water
2005 proj
2005
Hist
Broke All-time All-month records with 3 months
left in season
44Mar 21
Midway Valley SNOTEL Snow Water
2005 proj
2005
Hist
Broke All-time All-month records with 3 months
left in season
45 Seizure warning 2
46Interactive forecast interface (a.k.a. The
Dashboard)
47Interactive forecast interface (a.k.a. The
Dashboard)
Station selection
48Interactive forecast interface (a.k.a. The
Dashboard)
Quality of predictors
49Interactive forecast interface (a.k.a. The
Dashboard)
Calibration performance
50Interactive forecast interface (a.k.a. The
Dashboard)
Time series
Station availability
51Cross agency products ACIS precip, temp NOHRSC
snow USGS streamflow Univ Washington
52Merged NOHRSC and SNOTEL
53UW Spatial Soil Moisture Simulations
Percentiles (wrt 1960-99)
Simulated Surface Soil Moisture Rank Relative
to Historical Record
Wettest
Driest
54Univ Washington Drought Monitor-style color
bars for simulated soil moisture conditions
55Survey of short term GIS priorities Small-region
snow depth maps (recreation) Daily basin-filled
swe/precip normal maps Forecast point
maps Customizable interactive everything-map
56Reflections on a visual year
57Visual display of quantitative information How
good of a job are we doing? What role structured
testing?
58Elements of Good Communication
Is it easy to access? Is meaning clear? Is it
in a rich context? Can the user determine
relevance?
59Ease of access
60Ease of access
Where would you look for a summary of todays
snow conditions? Reservoir reports? A map of last
months precipitation?
61Interpretation, Context
62Interpretation, Context
Colors add no information
If this is the forecast distribution, what is
climatology (normal)?
Should these really be footnotes? Especially if
theyre inconsistently used?
63Analysis of products
64Analysis of products
Date
Muted background emphasizes non-static data
Color palette and symbols tested on color blind
viewers
Amount and interpretation
Metadata imbedded on plot
65Conclusions
New NRCS Data Available http//www.wcc.nrcs.usda.
gov/gis ftp//ftp.wcc.nrcs.usda.gov/data/water/wcs
/gis/ Major changes in forecasting
capabilities Are we taking advantage of
communications research?