Hydrologic Information Use and
Needs Assessment
Utah State University
• Examples of Existing Systems
• User Needs Assessment Survey Results
David G Tarboton
with input from
Jeff Horsburgh, Rob Gillies, Christina
Bandaragoda, John Weeks, Doug Ramsey
Some existing hydrology related
information systems at USU
• Bear River Watershed Information
System
• Intermountain Region Digital Image
Archive (IRDIAC)
• Climate and Weather Data Server
• UNIDATA port
Internet Based WIS
Bear River http://water.usu.edu/wis/bear_river/
Great Salt Lake http://greatsaltlake.utah.edu/
• Web browser as client software
• All databases and data analysis
managed on master server
• ESRI’s ArcIMS powers the map
server and provides
visualization of GIS datasets
• SQL Server and Time Series
Analyst manage time series
data and provide access to
analysis and visualization
Servers
• Web Server Dell PowerEdge 700, $3000
• Database Server Dell PowerEdge 2800, $3000
• Base Station for real time data collection, Pentium III 600
MHz, < $1000 now.
Operating Systems
• Windows Server 2003 and Windows XP
Software
• IIS v6.0
• .Net Framework v1.1
• ProEssentials v5 (for time series plotting)
• ArcIMS v4.0
• ArcGIS
• Microsoft SQL Server 2000 Standard Edition
Disk Space
• 223 GB hard drive/~20 GB used
Communication
• 100Mb connection to USU internet
Operators
• Jeff Horsburgh – Research Engineer with expertise in
data analysis, data manipulation, GIS, modeling, custom
GIS application development, etc.
• Rick Satterfield – Graduate Student system programmer
with expertise in developing and deploying Internet
applications
• Crystal Yap – data technician (downloading, formatting,
etc.)
• Amber Spackman – data technician (downloading,
formatting, etc.)
http://earth.gis.usu.edu
Servers
• Sunfire 280R server with 2 1.2 GHz processors and 8GB
RAM, ~$20,000
• Partnership in Beowulf Linux Cluster
• Windows Server to support ArcGIS geodatabase
processing
Operating Systems
• Solaris, Linux, Windows Server XP
Software
• MSQL
• Apache and Tomcat web services
• MapServer, PHP, PHP Mapscript
• GDAL and IDL/ENVI for image processing
• ESRI Geodatabase Server
Disk Space
• 2TB at 95% capacity
Communication
• 1GB connection to USU internet
Operators
• 1 FTE programmer/analyst with knowledge of C, PHP, IDL, GIS
programming languages and scripts.
• ½ FTE web developer
• ¼ - ½ FTE System Administrator with knowledge in Solaris, Linux,
and PC networking architecture, security, installation and
integration if 3rd- party software, etc.
• ½ FTE Project Manager to oversee and manage daily activities.
• ¼ – ½ FTE Project Director.
• 3 student technicians (1.5 FTE) that organize, process imagery and
data, populate the image database, and provide programming and
web support.
• 2 postdoctoral fellows to provide research support
Climate and Weather Data Server
Integrated Weather and Climate
Database
Goals
• Data Ingestion from Many Sources
• WEB Accessible
• User Friendly Navigation and Interfaces
• User Friendly Data Output
• High Quality Reports and Graphs
• High Quality Maps
• All available climate data in one location
Currently offline - undergoing restructuring!
Servers
• One Windows PC, $3000, System Management
Front end
• Two Redhat Linux PC, $3000, Apache Web
Servers
• 1TB RAID Disk Array $6000
Operating Systems
• Windows Server 2003
• RedHat Enterprise Linux
Software
• PostgreSQL
• Apache Web Services
• In house developed applications
Disk Space
• 120GB, 30% full
• 250GB, 40% full
• 1000GB (1TB), 60% full
Communication
• 100MB connection to USU internet
Operators
• Systems Administrator - MS Windows, RedHat Linux
• Programmer to build custom utilities: Java, C, C++, Perl
• Software Management and Maintenance - Third Party
or In house
• Subject Matter Expert - Climate
UNIDATA- access and visualization of
meteorological information
IDD Data Feed
Data is ingested using a
client / server program Local Data Manager.
Scripts are configured to
select data through
pattern matching
techniques which define
data requested and
amount.
Currently USU ingests
1GB / hour.
Visualization and Analysis
• Several custom
software packages
are made available for
analysis and
visualization of data
• Interactive Data
Viewer (IDV) - shown
on left
• McIDAS
• GEMPACK
Servers
• Solaris Ultra 10, < $500 now
Operating Systems
• Solaris
Software
• LDM
• Unidata
• McIdas
Disk Space
• 250GB, 90% full
Communication
• 10MB connection to USU internet
Operators
• Systems Administrator - Solaris
• Programmer to build custom utilities: Java, C,
C++, Perl
• Software Management and Maintenance - Third
Party or In house
• Subject Matter Expert - Climate
18 USU Respondents
35
30
25
20
15
10
0
2
2
4
4
4
6
6
6
8
8
8
12
12
12
10
10
10
Operating System
5
Other
Unix
Solaris
Linux
0
2
Respondents
Mac/OS X
Windows
Other
Other
Univ. Pro.
Undergrad
Student
Grad Student
Faculty
0
User Needs Assessment Survey
Results
Minutes to complete survey
Mean: 15.5
36 CUAHSI Respondents
30
25
20
15
10
2
20
5
0
4
6
8
20
10
12
30
25
Operating System %
0
Other
Unix
15
80
Solaris
10
100
Linux
5
Respondents
MAC/OS X
Windows
Other
Working
Professional
University
Professional
Undergrad
Student
Grad Student
Faculty
0
User Needs Assessment Survey
Results
Minutes to complete survey
Mean: 15.5
60
40
0
C U A S H I S u rve y R e s p o n d e n t S p e c ia litie s
0
E n g in e e rin g :H yd ro lo g y/W a te r
R e so u rce s
E n g in e e rin g :G ro u n d w a te r
G e o lo g y
C o m p u te r S cie n ce
C lim a te /M e te o ro lo g y
B io lo g y
G IS
E n g in e e rin g : E le ctrica l
W a te r Q u a lity/C h e m istry
G e o m o rp h o lo g y
2
4
6
8
10
12
14
16
Software - USU
Please rate each of the following software packages and programming languages
with respect to how important they are for hydrologic analysis in your research.
R a w m e a n sco re s; n = 1 8
Excel
4 .5
Arc G IS /Arc V ie w
3 .2
C++
2 .4
V is u a l B a s ic
2 .3
M a tla b
2 .3
M S Ac c e s s
2 .2
F O R T R AN
2 .0
SPSS
1 .8
S -P lu s
1 .8
Java
M a th e m a tic a
G R AS S
1 .6
1 .3
1 .1
1 = N e v e r u se o r d o n o t fin d u se fu l; 2 = H a v e u se d b u t d o n o t re ly o n th is;
3 = U se o cca sio n a lly a n d a m co m fo rta b le w ith its u se ; 4 = U se o fte n ;
5 = U se fre q u e n tly a n d fin d in d isp e n sa b le .
Other Software
mentioned:
SAS - 3
Surfer- 2
R, Groundwater
Vistas, STAMMTL, HEC-RAS,
Adobe Illustrator,
Kaleidagraph, MS
SQL Server,
ArcIMS,
MapWindow,
Macromedia,
Minitab,
SigmaPlot
Software - USU
Please rate each of the following software packages and programming languages
with respect to how important they are for hydrologic analysis in your research.
15
10
Mean: 1.11
10
Java
Mean: 2
Mean: 2.33
Mean: 2.39
Mean: 1.65
10
5
4
3
2
1
5
4
3
2
1
0
5
10
5
4
3
2
1
0
5
10
5
5
4
3
2
0
5
15
C++
15
Visual Basic
15
FORTRAN
5
4
3
2
1
5
4
3
2
1
0
5
10
5
4
3
2
1
0
5
10
5
5
4
3
2
0
5
15
Mean: 3.17
5
4
3
2
1
0
5
4
3
2
1
Mean: 1.82
0
1
5
10
5
Mean: 1.76
15
GRASS
15
ArcGIS/ArcView
0
1
Mean: 1.29
SPSS
10
15
Mean: 2.28
0
5
4
3
2
1
5
4
3
2
0
5
10
Mean: 2.24
Mathematica
S-Plus
10
15
1
0
5
10
Mean: 4.5
Matlab
15
MS Access
15
15
Excel
Software-CUAHSI
Rate the following software packages and programming languages with respect to
how important they are for hydrologic analysis in your research
R a w m e a n s c o re s ; n = 3 6
E xc e l
4 .0
A rc G IS /A rc V ie w
3 .9
3 .3
FO R TR AN
C /C + +
3 .2
Java
2 .7
M S Access
2 .6
V is u a l B a s ic
2 .5
M a tla b
2 .4
S Q L /S e rv e r
2 .4
M o d flo w
2 .3
2 .2
A d o b e Illu s tra to r
H E C m o d e ls
2 .1
GMS, W MS, SMS
2 .1
R
1 .9
SW AT
1 .9
1 .8
S ig m a P lo t
1 =N ever
use or
do not
fin d
2=H ave
used, but
d o n o t re ly
3=U se
o c c a s io n a lly
and am
c o m fo rta b le
w ith its u s e
4=U se
o fte n
5=U se
fre q u e n tly
a n d fin d
in d is p e n s a b le
Software-CUAHSI
Rate the following software packages and programming languages with respect to
how important they are for hydrologic analysis in your research
R a w m e a n s c o re s ; n = 3 6
E xc e l
4 .0
A rc G IS /A rc V ie w
3 .9
3 .3
FO R TR AN
C /C + +
3 .2
Java
2 .7
M S Access
2 .6
V is u a l B a s ic
2 .5
M a tla b
2 .4
S Q L /S e rv e r
2 .4
M o d flo w
2 .3
2 .2
A d o b e Illu s tra to r
H E C m o d e ls
2 .1
GMS, W MS, SMS
2 .1
R
1 .9
SW AT
1 .9
1 .8
S ig m a P lo t
1 =N ever
use or
do not
fin d
2=H ave
used, but
d o n o t re ly
3=U se
o c c a s io n a lly
and am
c o m fo rta b le
w ith its u s e
4=U se
o fte n
5=U se
fre q u e n tly
a n d fin d
in d is p e n s a b le
Other Software Mentioned
•
Rockware (2)
•
Imagine/IDL (2)
•
MySQL (2)
•
Perl (2)
•
RiverTools
•
SWS
•
Tcl/Tk(GUI)
•
Web – Python “2ope”
•
Visual/Modeling – IDL/PV-Ware
•
Global Mapper
•
TELEMAC
•
Virtualization – UML/VMware/etc
•
PHREEQC
•
Aqua Chem
•
IPW
•
GEMPAK
•
GRADS
•
Hydrus2D
•
DSSAT
•
Topmodel
•
ArcIMS
•
Pro Essentials
R a te th e fo llo w in g s o ftw a re p a c k a g e s a n d p ro g ra m m in g la n g u a g e s
w ith re s p e c t to h o w im p o rta n t th e y a re fo r h yd ro lo g ic a n a lys is in
yo u r re s e a rc h - C U A H S I
R a w m e a n s c o re s ; n = 3 6
1 .7
S u rfe r
1 .7
SPSS
SAS
1 .7
HSPF
1 .7
S -P lu s
1 .6
G RASS
1 .6
1 .6
V isu a l M o d flo w
M a th e m a tic a
1 .5
P o stg re S Q L
1 .5
1 .3
T e c p lo t
1 .3
G ro u n d w a te r V ista s
1 .2
K a le id a g ra p h
1 =N ever use or
2=H ave used, but
3 = U s e o c c a s io n a lly
d o n o t fin d u s e fu l
d o n o t re ly o n th is
a n d a m c o m fo rta b le
4 = U s e o fte n
5 = U s e fre q u e n tly
a n d fin d
w ith its u s e
in d is p e n s a b le
Please
rate each software functionality with
R a te th e s o ftw a re fu n c tio n a lity w ith re s p e c t to th e p rio rity fo r
respect to the inpriority
for
c lu d in g in
a h including
yd ro lo g ic in fothis
rm a tiofunctionality
n s ys te m
in a hydrologic information system - USU
R a w m e a n sco re s; n = 1 8
4 .9
D a ta s to ra g e a nd re trie va l
4 .2
V is ua liz a tio n o f s p a tia l d a ta
4 .2
V is ua liz a tio n o f tim e s e rie s d a ta
4 .1
B uild ing re la tio na l link s
3 .8
E ffic ie nt c o up ling w ith 3 rd p a rty a na ly s is s o ftw a re
3 .6
P re s e nta tio n to no n-te c hnic a l a ud ie nc e s
3 .5
D e ve lo p m e nt o f p ub lic a tio n q ua lity fig ure s
3 .3
N um e ric a l a na ly s is
2 .9
M ultiva ria te s ta tis tic a l a na ly s is
2 .8
U niva ria te s ta tis tic a l a na ly s is
1 = L o w p rio rity
5 = H ig h p rio rity
R a te th e s o ftw a re fu n c tio n a lity w ith re s p e c t to th e p rio rity fo r in c lu d in g
in a h yd ro lo g ic in fo rm a tio n s ys te m - C U A H S I
R a w m e a n sco re s; n = 3 6
S to re a n d re trie v e d ig ita l p ro d u cts fro m a h yd ro lo g ic
d ig ita l lib ra ry
In clu d e G IS d a ta o n te rra in , so ils, la n d co v e r, g e o lo g y,
stre a m n e tw o rk s
4 .5
4 .4
A llo w co n n e ctio n to h yd ro lo g ic m o d e ls
4 .2
In clu d e in fo rm a tio n fro m w e a th e r a n d clim a te m o d e ls,
a n d N e xra d
4 .1
D e sig n m e ta d a ta a n d d e v e lo p to o ls fo r p re p a rin g it
4 .1
S u p p o rt in te llig e n t se a rch in g fo r h yd ro lo g ic d a ta ,
m o d e ls, re p o rts a n d p a p e rs
4 .1
In clu d e re m o te se n sin g in fo rm a tio n
4 .1
A u to m a tica lly h a rv e st h yd ro lo g ic o b se rv a tio n d a ta fro m
a g e n cy w e b site s
C o u p le h yd ro lo g ic flu xe s a m o n g a tm o sp h e re , su rfa ce
a n d g ro u n d w a te r
P ro v id e a cce ss to re a l tim e h yd ro lo g ic a n d w e a th e r
d a ta
A llo w d o w n lo a d s fro m th is d a ta b a se in d e lim ite d a scii
fo rm a t
S yn th e size n a tio n a l, sta te a n d lo ca l d a ta in to a sin g le
sp a ce -tim e d a ta b a se
4 .0
3 .9
3 .9
3 .9
3 .9
A llo w co n n e ctio n to sta tistica l a n a lysis syste m s
In clu d e m o d e lin g ca p a b ilitie s fo r flo w a n d tra n sp o rt
1 = L o w p rio rity
3 .7
3 .4
5 = H ig h p rio rity
Independence - USU:
Please indicate the following on a scale of 1-5, where
1=not important, 5=essential
HIS software should work
independently from any 3rd
party software
independently
of 3rd party software
12
12
HIS software should work
allcomputer
computer systems
on all
systems
2
4
6
8
10
Mean: 3.82
5
4
3
2
1
0
5
4
3
2
1
0
2
4
6
8
10
Mean: 4.53
Independence - CUAHSI:
Please indicate the following on a scale of 1-5, where
1=not important, 5=essential
HIS software should
leverage commercial
software systems (e.g.
ArcGIS, SAS)
Mean: 4.03
Mean: 4.09
25
20
15
10
5
4
1
0
5
4
3
2
1
5
4
3
2
0
5
5
5
10
10
15
15
20
20
25
25
Mean: 3.46
0
1
Open Source
30
30
30
leverage
3
All
HIS should be
implemented using open
source software
2
HIS software should
work on all computer
systems (Windows,
Linux, Mac, Unix)
List data standards and file formats that you
think CUAHSI should adopt - USU
• NetCDF
• check the ALMA convention for Land
Surface Modeling
• Grib
• USGS
• NASA - hdf
Are there data for which CUAHSI should
define standards - USU
• Standards are important, but I do not know what they all are.
• Streamflow, Precip, Landuse, Topography, Landcover
• Unpublished data in technical reports must be protected, esp when
graduate theses and dissertations are involved
• Of course, mostly in terms of denomination of the variables. Check
ALMA standards as an example.
• Time series of any sort should have a standard that controls how
they are stored and distributed (this is primarily so that qualifying
comments or metadata are not lost).
• Data should probably be available in a variety of export formats.
• EPA storet- have good chemical data AND flow from the same
sample site. Otherwise it is pretty useless.
List data standards and file formats that you
think CUAHSI should adopt - CUAHSI
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
Time series
Space time grids
Some image formats
Hydrologic Observations
ISO
HDF
NetCDF
NASA DIF
GeoTiff
XML based formats
At least conversion from difficult data formats
Flat files
Data model for time series needs more development
How should I know? I’m just a user.
Any raster grid supported by ESRI
Ascii, shapefile, MS Access, XML
XML, XML, and XML
Are there data for which CUAHSI should
define standards - CUAHSI
•
•
•
•
•
•
•
•
Probably
Transboundary datasets
Sediment transport
Domain specific data – whatever is going to be
offered to users
Adapt existing standards
In situ observational data – such as SCAN
network data
Metadata format and ontology structure
Vector data, raster data, image data
USU
R a te th e e a s e o f a c c e s s to h yd ro lo g ic d a ta a n d in fo rm a tio n
R a w m e a n s c o re s ; n = 1 8
U S G S H is to ric a l S tre a m flo w
3 .7
U S G S R e a l T im e S tre a m flo w
3 .6
N a tio n a l E le v a tio n D a ta s e t
3 .3
S N O T E L d a ta
3 .3
N a tio n a l L a n d C o v e r D a ta
3 .1
N a tio n a l H yd ro g ra p h y D a ta s e t
2 .9
N C D C P re c ip ita tio n
2 .9
P R IS M P re c ip ita tio n D a ta
2 .8
L A N D S A T S a te llite Im a g e ry
2 .8
S T A T S G O s o ils d a ta
2 .6
S S U R G O s o ils d a ta
2 .5
U S G S N a tio n a l G e o lo g y d a ta
2 .5
E P A S T O R E T W a te r Q u a lity D a ta
2 .1
N E X R A D R a d a r p re c ip ita tio n
2 .0
U n iv e rs ity o f W a s h in g to n G rid d e d M e te o ro lo g ic a l
D a ta (M a u re r, e t a l., 2 0 0 2 , J . C lim a te 1 5 , 3 2 3 7 N C E P N o rth A m e ric a n R e g io n a l R e a n a lys is
(N A R R ) c lim a te d a ta
1 .8
1 .5
1 =Low
5 = H ig h
Rate the ease of access to hydrologic data
and information - CUAHSI
R a w m e a n sco re s; n = 3 6
U S G S R e a l T im e S tre a m flo w
3 .8
N a tio n a l L a n d C o v e r D a ta
3 .8
N a tio n a l E le v a tio n D a ta se t
3 .8
U S G S H isto rica l S tre a m flo w
3 .8
N a tio n a l H yd ro g ra p h y D a ta se t
3 .5
U S G S H yd ro lo g ic L a n d sca p e R e g io n s
3 .4
S S U R G O so ils d a ta
3 .1
S T A T S G O so ils d a ta
3 .0
P R IS M P re cip ita tio n D a ta
3 .0
U S G S N a tio n a l G e o lo g y d a ta
2 .9
N C D C P re cip ita tio n
2 .9
G ro u n d w a te r le v e l
2 .9
L A N D S A T S a te llite Im a g e ry
2 .8
W a te r q u a lity/C h e m istry
U n iv e rsity o f W a sh in g to n G rid d e d
M e te o ro lo g ica l D a ta (M a u re r, e t a l., 2 0 0 2 , J.
S N O T E L d a ta
2 .6
2 .6
2 .6
E P A S T O R E T W a te r Q u a lity D a ta
R e a l-tim e w e a th e r a n d N e xra d d a ta fro m
U nnidRaetag io n a l R e a n a lysis
N C E P N o rth A m e rica
2 .6
2 .5
2 .5
(N A R R ) clim a te d a ta
W a te r u se
2 .5
N E X R A D R a d a r p re cip ita tio n
2 .4
E v a p o tra n sp ira tio n
2 .3
1 =Low
5 = H ig h
USU
R a te th e p rio rity fo r d a ta in c lu s io n in H IS
R a w m e a n sco re s; n = 1 8
N a tio n a l E le v a tio n D a ta se t
4 .8
U S G S H isto rica l S tre a m flo w
4 .8
N C D C P re cip ita tio n
4 .7
N a tio n a l H yd ro g ra p h y D a ta se t
4 .6
N a tio n a l L a n d C o v e r D a ta
4 .4
S N O T E L d a ta
4 .4
U S G S R e a l T im e S tre a m flo w
4 .4
E P A S T O R E T W a te r Q u a lity D a ta
4 .2
N E X R A D R a d a r p re cip ita tio n
4 .2
P R IS M P re cip ita tio n D a ta
4 .1
S T A T S G O so ils d a ta
3 .9
S S U R G O so ils d a ta
3 .9
L A N D S A T S a te llite Im a g e ry
3 .9
U n iv e rsity o f W a sh in g to n G rid d e d
M e te o ro lo g ica l D a ta (M a u re r, e t a l.,
3 .9
U S G S N a tio n a l G e o lo g y d a ta
3 .7
N C E P N o rth A m e rica n R e g io n a l
R e a n a lysis (N A R R ) clim a te d a ta
3 .7
1 =Low
5 = H ig h
Other data mentioned
Water Use/Diversion
data - 2
ET, Groundwater level,
Water
Quality/Chemistry,
Energy balance
components (latent and
sensible heat)
Rate the priority for data inclusion in HIS - CUAHSI
R a w m e a n s c o re s ; n = 3 6
N a tio n a l L a n d C o v e r D a ta
4 .7
G ro u n d w a te r le v e l
4 .7
N C D C P re cip ita tio n
4 .6
U S G S H isto rica l S tre a m flo w
4 .6
W a te r q u a lity/C h e m istry
4 .6
N a tio n a l H yd ro g ra p h y D a ta se t
4 .6
N E X R A D R a d a r p re cip ita tio n
4 .6
E P A S T O R E T W a te r Q u a lity D a ta
4 .5
U S G S R e a l T im e S tre a m flo w
4 .5
S N O T E L d a ta
4 .5
U S G S N a tio n a l G e o lo g y d a ta
4 .5
N a tio n a l E le v a tio n D a ta se t
4 .4
W a te r u se
4 .4
E v a p o tra n sp ira tio n
4 .4
P R IS M P re cip ita tio n D a ta
4 .4
U S G S H yd ro lo g ic L a n d sca p e R e g io n s
4 .4
S S U R G O so ils d a ta
4 .3
S T A T S G O so ils d a ta
4 .3
L A N D S A T S a te llite Im a g e ry
N C E P N o rth A m e rica n R e g io n a l R e a n a lysis (N A R R )
clim a te d a ta
R e a l-tim e w e a th e r a n d N e xra d d a ta fro m U n id a ta
U n iv e rsity o f W a sh in g to n G rid d e d M e te o ro lo g ica l
D a ta (M a u re r, e t a l., 2 0 0 2 , J. C lim a te 1 5 , 3 2 3 7 -
4 .2
4 .0
4 .0
3 .8
1 =Low
5 = H ig h
Other National Datasets you think
should be considered - CUAHSI
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Corps of Engineers Stream stage/discharge
WRRI – Institutes
Reservoir storage/elevation/chemistry (Corps of Engineers, Bureau of Reclamation)
National orthophotography
Higher resolution HUCs
Urban/anthropic/water-related infrastructure
General geology
Population density
Various NRCS/WCC & NOHRSC data
NADP precip chemistry
Stream sediment data
Hydrogeologic data (K, Chem, etc.)
Snow courses
Vegetation maps
US Census/population data
Ecological data/ecoregions
Agricultural census data
Local Datasets that you think
should be included - USU
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Geomorphic/Channel Characteristics, (.shp)
Fish Distribution and abundance (Excel)
Other biotic data on streams( Excel)
Abiotic data on streams (Excel)
LIS (Gribs)
U Washington (NetCDF)
Unidata
Real time river diversions and reservoir elevations (txt)
Real time water quality monitoring data
Real Time climate/weather observations (like Mesowest)
Local government records indicating land use changes
US govt Population Census data
Meteorological and edaphic state variable data from CSI loggers
Precipitation (ASCII, Excel))
Soil Moisture (ASCII, Excel)
Soil temperature (excel)
Soil characteristics (ascii)
Meteorological data (wind speed, humidity, air temperature, solar radiation) (ASCII)
Local Datasets that you think
should be included - CUAHSI
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Borehole data – geologic electric and
geologic logs – locations
Seismic reflection lines
NPDES sites
Geologic surface profiles with original
data points
Groundwater raw water chemistry
Irrigation diversions
Pressure, moisture, concentration
(SQL)
USGS FRI – Forest growth data
National rangeland condition data
US breeding bird survey
Airborne Lidar – filtered bare earth
and first return
High resolution orthorectified aerial
photographs
Various mountain datasets
RAWS & other mesonets
• Precipitation isotope data
• Calsil (data system), Cdoc (data
system)
• Weather Mesonets
• High level land use
• High resolution topography
• Land management practices
• Water management practices
• Model input for specific watersheds
• Met and flux tower
• Realtime water quality data
• Diversions, water management, water
rights
• Water use
• GAP analysis
USU
R a te th e im p o rta n c e o f th e fo llo w in g ro le s o f a n H IS
R a w m e a n sco re s; n = 1 8
R e trie v a l o f re le v a n t N a tio n a l, C o m m u n ity, a n d
H yd ro lo g ic O b se rv a to ry d a ta se ts
4 .8
U p lo a d in g , a rch iv a l a n d sh a rin g o f h yd ro lo g ic d a ta
w ith co lla b o ra to rs a n d th e C U A H S I co m m u n ity
4 .4
S o u rce o r re p o sito ry o f e d u ca tio n a l in fo rm a tio n
(e .g . o n lin e le ctu re s, se m in a rs o r e d u ca tio n a l
m o d u le s)
S o u rce o r re p o sito ry o f in fo rm a tio n n e ce ssa ry fo r
th e in te rp re ta tio n o f H IS d a ta (e .g . w h a t d o so il
m o istu re m e a su re m e n ts m e a n fo r a u se r n o t a n
3 .8
3 .7
D e v e lo p m e n t o f co m m u n ity d a ta m o d e ls a n d
sta n d a rd s fo r d a ta re p re se n ta tio n
3 .7
In te rfa cin g o f h yd ro lo g ic d a ta se ts in sta n d a rd
fo rm a t w ith 3 rd p a rty a n a lysis so ftw a re
3 .6
S h a rin g o f m o d e ls, so ftw a re a n d h yd ro lo g ic
sim u la tio n syste m s
3 .6
D e v e lo p m e n t a n d m a n a g e m e n t o f co m m u n ity
m o d e ls a n d so ftw a re
3 .4
3 .1
S o ftw a re syste m fo r h yd ro lo g ic a n a lysis
1=Do not
2=Low
3=G ood
4 = Im p o rta n t
in c lu d e
p rio rity fo r
id e a ,
, H IS s h o u ld a n
th is
th is
in c lu d e if
p la c e h ig h
e s s e n tia l
c a p a b ility
p o s s ib le
p rio rity o n
ro le fo r H IS
th is
5 = T h is is
R a te th e im p o rta n c e o f th e fo llo w in g ro le s o f a n H IS - C U AH S I
R a w m e a n s c o re s ; n = 3 6
R e trie v a l o f re le v a n t N a tio n a l, C o m m u n ity, a n d
H yd ro lo g ic O b se rv a to ry d a ta se ts
4 .7
U p lo a d in g , a rch iv a l a n d sh a rin g o f h yd ro lo g ic d a ta
w ith co lla b o ra to rs a n d th e C U A H S I co m m u n ity
4 .6
In te rfa cin g o f h yd ro lo g ic d a ta se ts in sta n d a rd
fo rm a t w ith 3 rd p a rty a n a lysis so ftw a re
3 .8
D e v e lo p m e n t o f co m m u n ity d a ta m o d e ls a n d
sta n d a rd s fo r d a ta re p re se n ta tio n
3 .8
S o u rce o r re p o sito ry o f e d u ca tio n a l in fo rm a tio n
(e .g . o n lin e le ctu re s, se m in a rs o r e d u ca tio n a l
m o d u le s)
3 .5
S o ftw a re syste m fo r h yd ro lo g ic a n a lysis
3 .5
S h a rin g o f m o d e ls, so ftw a re a n d h yd ro lo g ic
sim u la tio n syste m s
S o u rce o r re p o sito ry o f in fo rm a tio n n e ce ssa ry fo r
th e in te rp re ta tio n o f H IS d a ta (e .g . w h a t d o so il
m o istu re m e a su re m e n ts m e a n fo r a u se r n o t a n
3 .5
3 .4
D e v e lo p m e n t a n d m a n a g e m e n t o f co m m u n ity
m o d e ls a n d so ftw a re
2 .8
1
2
3
4
5
N e ve r use
H a ve use d ,
U se o cca sio na lly
U se o fte n
U se fre q ue ntly
o r d o no t find b ut d o no t
use ful
re ly o n
a nd a m co m fo rta b le
a nd find
w ith its use
ind isp e nsa b le
Additional Comments/Suggestions
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Transboundary approach should be included into the HIS project (e.g., all
watersheds along the US/MX border are binational on both surface and GW
hydrology
Need tools to easily register raster data at different scales (e.g., MODIS,
Landsat, orthophotos, NED, gridded climate)
Consider uncertainty
Consider anthropic influences
Prioritize ingestion and dissemination of data, methods for data
visualization, manipulation and, analysis
Need attention to ease of use, intuitive interfaces, responsiveness, etc.
Don’t forget the hydrogeologists, hydrochemists, and stream
geomorphologists
Is there more interest in accessing unfiltered data than model results?
Each observation needs quality information (adequacy of time series data
model)
Priority on simple data model for hydrologic observations with derivatives for
groundwater, streamflow, etc. Priority 2 = data fusion and assimilation
technology
Needs – integrated models, data to models, standard models, software for
analysis of model output and uncertainty
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User Assessment Questionnaire Results