EPA/600/B-15/299
Quantitative Microbial Risk Assessment Tutorial
Using NLDAS and NCDC Meteorological Data
Gene Whelan
Kurt Wolfe
Rajbir Parmar
Michael Galvin
Marirosa Molina
Richard Zepp
U.S. Environmental Protection Agency
Office of Research and Development
National Exposure Research Laboratory
Athens, GA
Keewook Kim
University of Idaho
Idaho National Laboratory
Center for Advanced Energy Studies
Idaho Falls, Idaho
Paul Duda
Mark Gray
AQUA TERRA Consultants, a Division of RESPEC, INC.
Decatur, GA 30030
11/20/15
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Summary
This tutorial reviews how screens, icons, and basic functions of the SDMProjectBuilder (SDMPB) use
NLDAS and NCDC meteorological (MET) data to support microbial fate and transport, in a watershed, by
the HSPF watershed model. The application is performed using watersheds of different scales, including
HUC-8, HUC-12 and pour-point delineations. A discussion of the procedure for accessing and retrieving
MET data from NOAA's NCDC web site is also provided.
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Using NLDAS and NCDC Meteorological Data
PURPOSE
Automate data acquisition for data input requirements of a confederation of models
OBJECTIVE
Use NLDAS and NCDC meteorological data to support microbial fate and transport in a watershed for
use in the WinHSPF model (a.k.a. HSPF).
DEMONSTRATION
This tutorial reviews how screens, icons, and basic functions of the SDMProjectBuilder (SDMPB) use
NLDAS and NCDC meteorological (MET) data to support microbial fate and transport, in a watershed, for
use by the HSPF watershed model. The application is performed using watersheds of different scales,
including HUC-12 and pour-point delineations. A discussion of the procedure for accessing and retrieving
MET data from NOAA's NCDC web site is also provided.
SOFTWARE ACCESS, RETRIEVAL, AND DOWNLOAD
Instructions for accessing, retrieving, and downloading the SDMProjectBuilder, HSPF, and BASINS
software products are provided by Whelan et al. (2015a). When installed, three desktop icons should
appear:
TUTORIAL - TABLE OF CONTENTS
REMOTE-SENSING/RADAR SATELLITE AND GAUGE METEOROLOGICAL DATA
NLDAS MET DATA FOR A HUC-12
NLDAS AND NCDC MET DATA FOR POUR POINT
Viewing NLDAS and NCDC MET Stations for a Pour Point
Comparing NLDAS and NCDC MET Stations for a Pour Point
POST-2009 NCDC MET DATA
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REMOTE-SENSING/RADAR SATELLITE AND GAUGE METEOROLOGICAL DATA
Meteorological (MET) data required by watershed assessments have traditionally been provided by
land-based National Climatic Data Center (NCDC) weather (gauge) stations, although they may not be
the most appropriate for describing adequate spatial and temporal resolution if MET stations are too
few, too far away, or operating improperly. To complement land-based stations, remote sensing and
radar satellite data are increasingly used to obtain synoptic data with the spatial and temporal
resolution required for site-specific and/or event-based assessments.
Price et al. (2013) investigated whether NEXRAD (NEXt generation RADar) Multisensor Precipitation
Estimates (MPE) data improve the accuracy of streamflow simulations using the Soil and Water
Assessment Tool watershed model, compared to rain gauge data. MPE contains data reviewed by
human forecasters, combines radar-based estimates with hourly gauge station data on a 4-km grid, and
provides all spatial data by time increment. MPE is GRIdded-Binary (GRIB)-based data which is difficult
to access and retrieve for individual locations. Across watersheds and time steps, the authors found that
total gauge precipitation was greater than radar precipitation, but radar data showed a conditional bias
of higher rainfall estimates during large events (>25-50 mm/day). Radar-based simulations were more
accurate than gauge-based simulations for high flows, however. At coarser time steps, differences were
less pronounced which suggest that modeling efforts in watersheds with poor rain gauge coverage can
be improved with MPE radar data, especially at short time steps.
Kim et al. (2014) performed a follow-up study and compared the viability of automating use of radar
satellite data and land-based gauge stations to support MET data collection for modeling applications,
especially where gauge stations were inadequate. They compared MPE and the North American Land
Data Assimilation System (NLDAS) to gauge data at Milwaukee and Manitowoc, Wisconsin USA. NLDAS
contains automatic quality control, uses hourly gauge station data and modeled precipitation, provides
estimates at hourly intervals with a l/8th-degree resolution, and provides time series at specified
locations. Unlike MPE's dataset, NLDAS is directly accessible and provides time series at a location. The
comparison showed excellent correlation between gauge and radar data at Milwaukee, while
Manitowoc results strongly suggested using radar over gauge data. Based partly on these and similar
studies, and because a large number of watersheds are ungauged, are too far from gauging stations or
operate improperly, the SDMProjectBuilder was reconfigured to allow using NCDC datasets or NLDAS
datasets coupled with NCDC to compile MET data.
After subwatersheds are determined, SDMProjectBuilder determines the MET data station closest to
each subwatershed, eliminating those that might not have appropriate meteorological information or
the needed date span, and downloads data for that station. Because not all MET stations will have the
information needed to model the desired HSPF processes, SDMProjectBuilder automatically finds at
least one with all HSPF MET information. Data for all stations are combined into a single met WDM file
to use in HSPF.
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NLDAS MET DATA FOR HUC-12
Pre-2009 NCDC MET data have been cached within the BASINS infrastructure. The example below uses
BASINS MET to illustrate how the nearest MET gauge station is assigned to different areas of a HUC-12.
Following an abbreviated procedure for identifying a HUC-12 (see Whelan et al., 2015c), a distribution of
MET stations is illustrated.
1. Execute the SDMProjectBuilder (SDMPB) by clicking on the shortcut icon displayed on the computer
screen, and create a folder where you have administrative rights:
.i-.lttf'..,,.. 1:1.
iltifcll
2. From the Menu Bar, select "SDMProjectBuilder", then "New SDM Project".
Import Local Data Files
Run Project Builder
Options
3. Create a new file within the working folder.
4. Under "SDMProjectBuilder", select "Nav Helper".
SDM Pro
Import Local Data Files
Run Project Builder
5. Fill out the screen as shown, choose "Zoom", then "Get Data".
Navigation Helper
Base Layers
State:
Zoom
County: Manitowoc County
Zoom
HUC8:
Layeis:
H NHD+ 0 HUC 12s
dose
Get Data
Show tributes
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6. A screen similar to the following will appear.
u O i * k. 13 a <^ ! 1
[
7. Deselect all map layers except "hue 12 for 04030101" and "Close" the "Navigation Helper".
SOW Project Builder
File SDMProjectBuilder Extensions
o o [J i ^ ii E ^ *''
Legend Selection
-] ^ MapLayefs;
ffl D c^chment for 04030101 .
ffl Q nhrf«aterbo!ivfor0403D1
a D nhctflmviirw for 04030101
S Shuc12
D
B D States
D
B D HUC-8
B D Counties
D
IReaity. X:-98621642612 Y:5436693.0163B nhdwaterbodyfor04030101:0features selected X:-98621&
8. From the Menu Bar, choose "SDMProjectBuilder", then "Run Project Builder".
SDM Pro
-------
9. After repeating Steps 1 through 7 above, the HUC-12 corresponding to the Hydrologic Unit Code
(HUC) Catalog Unit (CU) of 04030101 is defined as follows [see Whelan et al. (2015b) for more
details]:
Ready. X: -9S62164.2612 V; 543669?, 01633 nhthvaterfacfrf or WC30101: Of attires alerted X: -96621&
10. Select the HUC-12 noted below:
11. From the Menu Bar, choose "SDMProjectBuilder", then "Run Project Builder".
1 Project 6
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12. The screen below appears. Choose "HUC-12".
EH Build Frames SDM Project
Select Area Of Interest On Map Or Enter Kerfs) Below
Select By: O HUC-8 © HUC-12 O Catchment O County O Current Map Layer O Pour Point O Box
1 Selected:
040301010406 : Headwaters Killsnake Rivei
:"iect One Project Pei
Cancel
Next
13. Choose "Next" and the screen below appears. Change it to the following:
M Build Frames SDM Project
Parameters For Model Generation
3 Minimum Catchment Size (square kilometers)
3 Minimum Flowline Length ^kilometers)
0.1 Ignore Landuse Areas Below Fraction
1990 Simulation Start Year
2000 Simulation End Year
21 HSPF Output Interval: Hourly *
Snow:
U SWAT
(3 Microbes
C] Land-Applied Chemical
Chemical Properties
\gwhelan*errtechnologie^5dmpb'>binxmodei5'.SWAT' Databases \sw3t20Q5.mdb | [
14. Pick "Next", and the screen below appears. Do not change the "Save Project As" text box.
a-i Build Frames SDM Project
Data Options
Soil
o STATSGO
; SSURGO
Elevation
Delineation
Save Project As
^ | ^ | B imi^\
Meteorologic
a BASINS
NCDC Enter NCDC Token Hers
El NLDAS Precipitation
NHDPIus Elevation
NHDPIus
C:\Users\gwhdan\iemTechnologies'\SDMPB\TESTB\TESTB.m«pij
Cancel | [J] Add Layers To Map During Project Creation
-
T
a
Previous ' BuM
15. Choose "Build" which may take several minutes to complete, depending on the computer.
16. Some computers may ask several times if the re-project map layer should match the map coordinate
system; choose "Yes" each time.
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17. When the SDMPB has finished running, choose "Open in BASINS" and BASINS will automatically
open with the SDMPB map layers for this assessment. The following screen appears:
_.a s ;.^i J.- -...«:.£
18. It may be difficult to differentiate NLDAS MET stations from other points on the map layer, (e.g.,
domestic animal/septic locations), so
uncheck other map layers since NLDAS symbols may be hidden behind other symbols and
increase the size of the NLDAS symbol by double-clicking on the NLDAS Grid Center symbol
(see blue arrow below):
19. This screen appears; change the "Size" to 20, and click "Ok".
I^^^H
.S^.?!? - Character . Icons Options
^ ^
Rotation 0 :
Fore color ^^H -
Point shape + Regular
Number of sides J4
-------
20. The following screen appears with larger symbols for the NLDAS stations:
2.2.Z:~L,&^.^.JL-.~ _:_<£. fit
21. By clicking "File," then "Manage Data" on the menu bar, we can see that the MET data are loaded
into the project and that there are 14 MET time series in the file.
File Analysis Help
22. Choose "File", then "Exit" to return to the main screen.
23. To color-code the MET stations, double-click "NLDAS Grid Center" label (see blue arrow below)
+: £ £ . . . : _2 . ^ Jjf^ j ^ s.
-------
24. Choose "Categories" tab and
1. check "Unique values"
2. select "LOCATION"
3. check "Gradient"
4. choose "Color scheme"
5. click "Generate"
6. check the boxes with non-zero counts
7. choose "Apply"
General Mode .appearance 'Catena/. Labels Charts AibiUy
25. Choose "Labels", then "Setup."
Layer properties: NLDAS Grid Center
General j Mode [ Clearance j Cxtegpnes , Labels i chals j ViabiBy
GT; Labels viable Q Frane viable
|tO hfj| S« || ~t '|
La,,
f tf& ] \ Ck |[ Cancel
26. Double-click on "Location", then "Apply", then "Ok."
Label style
b/J Labels visible
JIO "v Font size
Transparency
Expression font
Expression
[LOCATION]
Fields
U£*rjjgH^H
fam, | Postal | \febitty | Syk»
_ [
Example
[A^a] * "ha" +
[Population J/100Q
Description
Dear
ti&M[Jne '
+ "thsnd."
[Area] -the name of field
"ha" -string constant
10
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27. Choose the Position, then click "Ok."
-abel generation
Position
l_
BBS
SHE
= |EDUaJ
Cancel |
28. Click "Ok."
Layer properties: NLDAS Grid Center
Labels preview
General | Mode | Appearance] Categories Labels Charts | Vistttty]
X294Y152
Labels visible J Frame visibte
29. The two MET stations (diamond symbols below) that influence the seven subwatersheds are now
labeled and color-coded (one light red and one purple).
File < Watershed Delineation Models Cor
.. - Analysis Layer View Bookmarks Plug-ins Shapefile Editor Converter
'^ IJ Sf % .^ ^ i; [jl? 0
Add Remove Clear Symbology Categories Query Properties Table Select Deselect Measure Identify Label Mover
*" if ! fel «b *J =W - J »
Out Extent i . = Previous Laysr Mev. i, Add ' ...-'.: Paste Merge '.;..-. : - Moveverie* - ..i
dH CatalogingUnitBoundans
a
BL.I County Names
3D County Boundaries
3D EPAHegionBoundarie
QH unnamed - ' X; 629,235,503 V: 2,569.926,002 Meters Lafc 44.085 Long: -3S.107
11
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30. To see which subwatersheds (i.e., subbasins) are associated with which MET stations, double-click
on "Simplified Catchment" (see blue arrow below):
I BASINS 4.1 - TESTA*
File Watershed D
Help
jnch . Analysis Layer View Bookmarks Plug-ins Shapefile Editor Converter
A fc 9 ;3 D Q & *-%%* ^ D EJI? O ^-
New Open Save Print Settings Add Remove Clear Symbology Categories Query Properties Table Select Oe;elen Measure Identity Label Mover
Pan | In | Out Extent Selected Previous Next Layer New Insert Add Remove Copy Paste Merge Erass Erasebeneath Move Rotate Resce Movevertex Add vertex Remove vertex Cleanup
* ,_/ Observed Data Stations
IB[7 NLDASGndCenter
Categories. LOCATION
^ X293Y152
^ X294Y152
13 D Weather Station Sites 2006
ED Septic
ED Animals
*
ED Point Sources
*
SC NAWQA Study Ar
a
EC AccOuntingLJnjiBoundHies
a
BLl County Names
Bounc
QC County Boundaries
cn
BD EPARsgion Boundaries
J unnamed ' X: 629,235,503 Y: 2,369,926.002 Meters Lat 44.085 Long:-83.107
31. The following screen appears:
Layer properties: Simplified Catchment
General | Mode | Appearance | Categories | Labels | Charts | Visibility
Show preview
Name
Simplified Catchment
Source
Type: polygon shapefile
Number of shapes: 7
Selected :0
Source: C:\Users \gwhelan''jemTechnologies'\5DMPB
\TESTA\NHDPIus\nhdplus04Q30101\drainage
'usecatchment NoShort .shp
Bounds X: 613755.11 to S25694.36 m
Bounds Y: 2365124.84to 2376405.15m
Description
Ok
Cancel
12
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32. To color-code subwatersheds to match the color-coded MET stations, choose the "Categories" tab
and
1. check "Unique values"
2. select "ModelSeg"
3. check "Gradient"
4. choose "Color scheme"
5. click "Generate"
6. check the boxes with non-zero counts
7. choose "OK"
Layer properties: Simplified Catchment
General Mode Appearance Categories Labels | Charts | ViabiHy
Fields QassJication Color scheme
NLCD_51
NLCD_61
NLCD_71
NLCD_S1
NLCD_82
NLCD_S3
NLCD_84
NLCDJ5
NLCD_91
NLCD.92
PCT_CN
PCT_MX
SUM_PCT
PRECIP
TEMP
SUBBASIN
SL01
AREAACRES
AREAMI2
BNAME
I I Unclassified
U I X293Y152
11 I X294Y152
Apply
33. In the resulting image, see that the subwatersheds have been color-coded to the nearest NLDAS
locations.
+ ."
. M» . - M.....T*. .. :
*.*.-,. , ii M
Appendix A illustrates how the HSPF UCI file captures and assigns the two NLDAS stations to the
subwatersheds (Whelan et al., 2015c).
13
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NLDAS AND NCDC MET DATA FOR POUR POINT
A similar procedure can be performed for a pour point (see Whelan et al., 2015d). This section also
compares remote-sensing NLDAS stations to the monitoring NCDC station.
Viewing NLDAS and NCDC MET Stations for a Pour Point
34. After repeating Steps 1 through 7 above, the HUC-8 corresponding to the Hydrologic Unit Code
(HUC) Catalog Unit (CU) of 04030101 is defined as follows [see Whelan et al. (2015b) for more
details]:
35. In this example, we assess only the four uppermost 12-digit HUCs in the Manitowoc watershed
(highlighted in the figure below).
14
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36. Follow procedures outlined in Whelan et al. (2015d) to identify the pour point corresponding to the
subwatershed outlined in the figure above. From the Menu Bar, choose "SDMProjectBuilder", then
"Run Project Builder".
37. Use the choices identified below, choose "Select Pour Point On Map", go to the map and choose the
pour point location, zoom to it, then click "Next".
Select Area Of Interest On Map Oi Enter Key(s] Below
SelectBj*: O HUC-8 O HUC-12 O Catchment Current Map Laye 0PowrPoint QE
Press the button t.e'ow v:t;?n r^jd',' to : elect .3 pour point.
|20Q km [ Select Pour Point On Map~
38. Complete the "Build FRAMES SDM Project" screen as shown.
^ Build Frames SDM Project
Parameters For Model Generation
3 Minimum Catchment Size (square kilometer
3 Minimum Bowline Length (kilometers)
0.1 Ignore Landuse ^reas Below Fraction
1990 Simulation Start Year
Simulation FJid Year
2CUO
b/j HSPF Output Interval: Hourly -r
Snow: Degree Day -
[/ Microbes
P| Land -Applied Chemical
Chemical Properties
LI SWAT T :.-(j5 Database [c\*
39. Click "Next" and the following screen appears. Change the screen to that below; make no changes to
the "Save Project As" text box unless there is a special folder location.
nJ Build Frames
Data Options
Soil
*. STATSGO
SSURGO
Elevation
Delineation
Save Projed fa
| Caned ~]
SDM Project
Meteorologic
BASINS
NCDC Enter NCDC Token Here
V] NLDAS Ptedpttstion
NHDPIus Bevation
NHDPIus
CMJsere^whelan^em Technologies \SDMPB\TESTC\TESTCjnwpn
0 Md Lovere To Hap During Project Qeattai
[. = i S |^B-
-
T
CD
[ Previous j Build
15
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40. Now choose "Build" which takes approximately 25 minutes to complete for a pour point with four
HUC-12s, depending on the computer.
41. Some computers may ask several times if the re-project map layer should match the map coordinate
system; choose "Yes" each time.
42. When the SDMPB has finished running, choose "Open in BASINS", and BASINS automatically opens
with the SDMPB map layers for this assessment:
43. Following the same procedures outlined in previous sections, NLDAS and NCDC BASINS MET stations
can be color-coded and mapped as shown below, where diamond symbols represent the NLDAS
MET stations, and the yellow square (WI471568) represents the NCDC station. Color-coded areas
correspond to the NLDAS stations, not the NCDC station.
File . ' Watershed Delineation ' Model; . Compute - Launch Jj Analysis Layer View Bookmarks Plug-in; Shapefile Editor Converted Help
New Open Save Print Settings
._Pan| In Out Extent Select
Legend
Layers LT
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Comparing NLDAS and NCDC MET Stations for a Pour Point
Using the case developed under Whelan et al. (2015d), NLDAS and NCDC MET station results are
compared to demonstrate temporal differences between stations at different locations. To demonstrate
differences between NLDAS remote-sensing and NCDC monitoring results, NLDAS station X293Y150 and
NCDC station WI471568 are compared. NLDAS stations X293Y150 and X293Y152 are also compared
since they represent southern- and northern-most stations in the watershed.
44. To compare NLDAS station X293Y150 and NCDC station WI471568, choose "Analysis" from the
BASINS menu bar, then "Graph".
i.1 Analysis | Layer View
Data Tree
DFLOVJ
L, < Climate Assessment Tool
List
Graph
i» * Watershed Chararterizatio
. < Synoptic
, * Seasonal Attributes
k < Redassrfy land Use
STORET Homep
Standard Indust
y, ^ Projection Parameters
n. <
. -
L. * Water Quality Cr
V*
al Classification Codes
Watershed Characterization System (WCS)
US6S Surface Water Statistics (SWSTAT)
45. See Whelan et al. (2015c) for guidance on selecting data to graph. Under "Scenario", select "NLDAS"
and "OBSERVED". Under "Constituent", choose "PREC". Under the "Matching Data" section, a list of
stations will appear. Choose "OBSERVED" for "WI471568" and "NLDAS" for "X293Y150". The results
below should appear under "Selected Data". Because it will be nearly impossible to compare results
from more than 10 years of records, change the start and end dates to cover only the month of
August 1995; under "Dates to Include", change the "Start" and "End" dates to "1995/08/01" and
"1995/08/31", respectively. Click "Ok".
I Select Data To Graph
File Attributes Select Help
Select ^tribute Values to Filer Available Data
[Scenario
NLDAS
Selected Data (2 of 4653)
NLDAS
OBSERVED
X293Y150
WW71568
PREC
PREC
rtar
Hour
Dates to Include
[ All ] [ Common
Start 1348/08/01 19S3/12.'31
End 2009/12/31 2000/12/31
Appry month/day range to each year
D Change Time Step To: 1 Day
»l [Average/Same
17
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46. Choose "Timeseries" and "Generate".
Choose Graphs to Create
3 Timeseries
^] Row/Duration
J Frequenc>r
_] Running Sum
Residual |JS2 - TS1) (two datasets needed but 1 datasets sek
^] Cumulative Difference (two datasets needed but 1 datasets se
^| Scatter ITS2 vs TS1) ft wo datasets needed but 1 datasets seli
D Multiple WQ Plots
AH
None
Cancel
Generate
47. The following graph, including both NLDAS and NCDC plots, appears. The "PREC" has units of inches.
File Edit View
1.4
r°
0
Analysis (1995Aug21 03385^) Help
HQURLYOBSERVEDPRECatWl471568
HQURLYNLDASPRECatX293Y150
..! .ILL... i..,. i
LJLUL 1 1 U..H.
|
.!">
.1, li(U,.lJ .rl 111 ,, (111 .
August 1995
HOURLY
1
L
28
1
29 30 31
48. Using the editor described in Whelan et al. (2015c), the graph can be modified for a better view of
the results. The hourly NCDC observed data are the red curve, and the hourly NLDAS data are the
blue curve. The NLDAS station does not necessarily record the precipitation that hits the ground, but
Kim et al. (2014) noted anomalies in monitoring stations in the Manitowoc basin. Exit by clicking the
"X" in the upper right-hand corner which returns to the "Select Data To Graph" screen.
2E 27 28 29 30 31
18
-------
49. To compare NLDAS stations X293Y150 and X293Y152, make the following selections, ensuring that
the start and end dates refer to August 1995. Click "OK".
4 Select Data To Graph
OBSERVED
SDMPROJE
SDMPrajecl
Matching Dda (6 o! 4653)
NLDAS
NLDAS
NLDAS
X2MY151
X295Y151
X293Y151
Selected Data (2 of 4653}
NLDAS X2MY1S
NLDAS X293Y150
AGWO
AG^VS
AIRT
PREC
PREC
PREC
PREC
Do,,
Mor,th
50. Choose "Timeseries" and "Generate".
* Choose Graphs to Create
|7| Timeseries
2] Row/Duration
3] Frequency
3 Running Sum
H Residual {TS2 - TS1) ftwo datasets needed but 1 datasets sete
" ' ; Cumulative Difference ft wo datasets needed but 1 datasets
j Scatter (TS2 vs TS1)ftwo datasets needed but 1 datasets sel*
51. The NLDAS precipitation plots appear. The "PREC" has units of inches. Using the editor described in
Whelan et al. (2015c), the graph can be modified to better view results. Hourly results associated
with the southern station X293Y150 are in blue and hourly results associated with the northern
station X293Y152 are in red. Although this is a relatively small watershed, localized effects on
precipitation are evident and become more pronounced within the larger Manitowoc River
watershed (not shown). Exit by clicking the "X" in the upper right-hand corner. Now exit the
program.
nalysis (1995 Aug 10, 059901) Help
Jll I
August 1995
Year
19
-------
POST-2009 NCDC MET DATA
Pre-2009 NCDC data and additional MET information are cached with the BASINS install, so direct access
to the NCDC web site is unnecessary. For times post-2008, direct access to the NCDC web site to obtain
MET data. The NCDC data are not as complete as the cached, pre-2009 BASINS data, so even if pre-2009
NCDC data are directly requested from the NCDC site, the results may not exactly match those based on
BASINS. The SDMProjectBuilder allows direct access to the NCDC web site if the user has registered with
NCDC and obtained an access token (i.e., ID number), as illustrated below:
Data Options
Soil Meteorobgic
0 STATSGO BASINS
; SSURGO I 9 Mr-rjc
xxxxxxxxxxxxxxxxxxxx
NLDAS Precipitation
B&ntson NHDPIus Elevation
Delineation NHDPlua
Save Project As C '^Use^gwhdan ^emT^nobgies^SDMPB\TESTD\TESTD.mwpn
Canes' \ !7| Add Layers To Map During Project Creation
Once obtained, the same token is good every time and additional tokens are not needed to access the
site again. The link to obtain a token is
http://www7.ncdc.noaa.gov/wsregistration/ws home.html
When the site is accessed, the following screen appears:
NOAA Satellite and Information Service v'V
National Environmental Satellite, Data, and Information Service (NESDIS
National Climatic t
Data Center I
Land-Based Data / NNDC CDO / Product Search / Help
Register and Develop Your Own Client Applications to access NCDC Products
NCDC has developed REST or Representational Stale Transfer web sen-ices for customers to use. Customers can directly access
NCDC climate data from their own computer using simple URL based calls using any browser or other programs like wget or curl.
Scripts written in Perl or Python can also be used to invoke multi-threaded access. NCDC requests that users apply for a license key
which can be used to verify and control requests.
To start using NCDC Web Services:
Create an Account
To access tie NCDC Web Services, you must register by submitting your email address.
E-mail Addressj_
A license key will be generated for }'ou on the following page. If you are a subscriber to any NCDC products, your
subscription id will be your license key. Your NCDC Web Services Account will entitle you to 60 automated
queries per hour.
Use your browser or a custom script.
Use any browser or write a simple script with wget or curl which requests data from the web service using your
unique License key. Your program must include your license key with each query you submit to the NCDC Web
Services,
Available NCDC Web Sendees
CDOSerrices provides access to Climate Data Online Datasets. Clients can access data by referencing a station or a
3 group of stations within a country, state, county, climate division or watershed. Common names or FTPS identifiers
can be used. Specific information is provided for data values, i^ariable listing, detailed variable information, station
listings, and station information.
Privacy Policy
NflBMUMMP
FIRSTGOV
http://www7_ncdc .noaa_gov/wsregistraliotL'ws_horae .html
Downloaded Thu Oct 22 17:31:35 EOT 2015
Production Version
If you have questions or comments, please contact our supp
20
-------
After the token is received, the following screen capture illustrates its use which is automatically
handled by the SDMProjectBuilder:
38(1)
NNDC ClIMATl DATA ONUNl
fat *> *O>C
DISCLAIMER
This document has been reviewed in accordance with U.S. Environmental Protection Agency policy and
approved for publication.
REFERENCES
Kim, K., K. Price, G. Whelan, M. Galvin, K. Wolfe, P. Duda, M. Gray, Y. Pachepsky. 2014. Using Remote
Sensing and Radar Meteorological Data to Support Watershed Assessments Comprising IBM. In: Ames,
D.P., Quinn, N.W.T., Rizzoli, A.E. (Eds.), Proceedings of the 7th International Congress on Environmental
Modelling and Software, June 15-19, San Diego, California, USA. ISBN: 978-88-9035-744-2.
Price, K., Purucker, ST., Kraemer, S.R., Babendreier, J.E., Knightes, C.D., 2013. Comparison of
radar and gauge precipitation data in watershed models across varying spatial and temporal
scales. Hydrol. Process. DOI: 10.1002/hyp.9890.
Whelan, G., K. Kim, K. Wolfe, R. Parmar, M. Galvin. 2015a. Quantitative Microbial Risk Assessment
Tutorial: Installation of Software for Watershed Modeling in Support of QMRA. EPA/600/B-15/276. U.S.
Environmental Protection Agency, National Exposure Research Laboratory, Athens, GA.
Whelan, G., K. Kim, K. Wolfe, R. Parmar, M. Galvin, M. Molina, R. Zepp. 2015b. Navigate the SDMPB and
Identify an 8-Digit HUC of Interest. EPA/600/B-15/273. U.S. Environmental Protection Agency, Athens,
GA.
Whelan, G., K. Kim, R. Parmar, K. Wolfe, M. Galvin, M. Gray, P. Duda, M. Molina, R. Zepp. 2015c.
Quantitative Microbial Risk Assessment Tutorial: Land-applied Microbial Loadings within a 12-Digit HUC.
EPA/600/B-15/298. U.S. Environmental Protection Agency, Athens, GA.
21
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Whelan, G., K. Kim, K. Wolfe, R. Parmar, M. Galvin, M. Molina, R. Zepp, P. Duda, M. Gray. 2015d.
Quantitative Microbial Risk Assessment Tutorial: Pour Point Analysis of Land-applied Microbial Loadings
and Comparison of Simulated and Gaging Station Results. EPA/600/B-15/290. U.S. Environmental
Protection Agency, Athens, GA.
22
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APPENDIX A
NLDAS Stations Recorded in the HSPF UCI File
(Whelan et al., 2015c)
Looking at the UCI, we see two sets of pervious and impervious land types (PERLND and IMPLND,
respectively), which correspond to the two NLDAS locations in use.
(RUN
GLOBAL
UCI Created by WinHSPF for 040301010406
START 1990/01/01 00:00 END 2000/12/31 24:00
RUN INTERP OUTPT LEVELS 1 0
RESUME C RUN 1 UNITS 1
END GLOBAL
FILES
**"Jf< F]
- -r TJI VTTi TiJTC1
.lir. WAMU
MESSU 24 040301010406. ech
91 040301010406. out
WDMl 25 040301010406. wdm
WDM2 26 met. wdm
BINO 92 040301010406. hbn
END FILES
OPN SEQUENCE
INGRP
PERLND
PERLND
PERLND
PERLND
PERLND
PERLND
PERLND
PERLND
IMPLND
PERLND
PERLND
PERLND
PERLND
PERLND
PERLND
PERLND
LMPLND
RCHRES
RCHRES
RCHRES
RCHRES
RCHRES
RCHRES
RCHRES
END INGRP
END OPN SEQUENCE
INDELT 01:00
101 "
102
103
104
105
106
107
10B
1C2 ..
201 ^
202
204
206
207
208
205
202
-o
-o
5
'_
t-.
6
3
2
1
23
-------
The external sources (EXT SOURCES) block assigns MET data to each subwatershed (subbasin). Since we
only pull precipitation data from NLDAS, the other met constituents are from a BASINS station with the
full suite of meteorological data (Green Bay).
I
EXT SOURCES
<-Volume->
x x tern strc[<-
*** Met .Seg; X294Y152
WDM2
WBM2
WDM2
WDM2
WDM2
WDM2
WDM2
*** Met
WDM2
WDM2
WEM2
WDM2
WDM2
WDM2
WBM2
+ ** Met
WDM2
WDM2
WDM2
WDM2
WDM2
WDM2
WDM2
*** Met
WDM2
WDM2
WDM2
WDM2
WDM2
WDM2
WDM2
21 PREC
6 PEVT
3 ATEM
14 WIND
15 SOLR
17 DEWP
IS CLOU
Secj X293Y152
3l" PREC
6 PEVT
3 ATEM
14 WIND
15 SOLR
17 E3WP
18 CLOU
Secj X294Y152
21 PREC
6 PEVT
3 ATEM
14 WIND
15 SOLR
17 DEWP
IS CLOU
Sag; X293Y152
31 PREC
6 PEVT
3 ATEM
14 WIND
15 SOLR
17 DEWP
18 CLOU
EHGLZERO
EHGL
ENGL
EHGL
ENGL
EHGL
ENGL
ENGL ZERO
ENGL
EHGL
ENGL
EHGL
ENGL
ENGL
EHGLZERO
EHGL
EHGL
EHGL
EHGL
EHGL
EHGL
EHGLZERO
EHGL
EHGL
EHGL
ENGL
ENGL
EHGL
-Mult>Tran <-Target volj3> <-Grp> <-Keicber-> ***
factor->strj| x 31 x x ***
SAME PERLND 101 108
SAME PERLND 101 108 EXTNL PECINP
SAME PERLND 101 108 EXTNL
SAME PERLND 101 108 EXTNL
SAME PERLND 101 108
SAME PERLND 101 108
SAME PERLND 101 108
SAME
SAME
SAME
SAME
SAME
SAME
SAME
SAME
SAME
SAME
SAME
SAME
SAME
SAME
SAME
SAME
SAME
SAME
SAME
SAME
SAME
PERLND
PERLND
PERLNB
PERLND
PERLND
PERLND
PERLND
IMPLND
IMPLND
IMPLND
IMPLND
IMPLND
IMPLND
IMPLND
IMPLND
IMPLND
IMPLND
IMPLND
IMPLND
IMPLND
IMPLND
201
201
201
201
201
201
201
102
102
102
102
102
102
102
202
202
202
202
202
202
202
208 EXTNL
208 EXTNL
208 EXTNL
208 EXTNL
208
EXTNL
EXTNL
EXTHL
EXTNL
EXTNL_
EXTNL
GAIMF
WINMOV
IREC,
PEIIH?
208 EXTNL GACMP
WLHMOV
SOLRAD
206 EXTNL CLO~D
EXTNL PR2C
PECTIN]?
GATMP
EX.TJSTL^JiTHMOV
EXTNL SGLRAD
DTK?;
CLO'JD
PETIMP
EXTNL CLOUD
24
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