A Statistical Procedure for PacNW RAWS Network Optimization
Terry Marsha
NWS Meteorologist
Goal: Define an objective method that could be used to create a more efficient RAWS network that adequately meets the
needs of land/fire managers while reducing needless redundancy. Primary regard is given to NFDRS and forecasting for fire
weather and smoke management.
Given: A network of approximately 200 RAWS currently exists in Washington and Oregon.
Assumptions:
1.
2.
The current network of RAWS adequately represents the weather of the PacNW.
Within the current network of RAWS exists a smaller subset of RAWS that is equally representative.
This analysis is comprised of two parts. First a wind rating is determined for each RAWS in the analysis. Secondly a cross
correlation matrix of the daily minimum afternoon relative humidity of the RAWS within a particular area is developed.
The results of these two tools provides the means for determining the final RAWS network.
Wind Rating:
The purpose of the wind rating is to objectively assess the wind characteristics of each RAWS in order to try and ensure that
as many as possible of the RAWS in the final network are wind sensitive. A “good” wind sensitive RAWS should show an
ability to respond with elevated wind speeds when the weather dictates and also show good variability. These characteristics
can be determined by inspection of the distribution of the RAWS’s hourly wind speed.
Procedure:
1. Start with a database of hourly weather observations for all RAWS covering several summers. For each day the peak
wind speed is determined for each of six “4-hour” time periods covering the full 24 hours of the day. This is done for
each RAWS in the network analysis.
2. A “climatological” distribution of the peak wind speed for each “4-hour” time period for each RAWS is generated and
the median and 90th percentile value of the peak wind speed is determined for each time period.
3. A “spread statistic” is defined as:
(90th percentile peak WS) – (median peak WS) / (median peak WS)
4.
This statistic indicates the amount of variability in the RAWS’s wind speed frequency distribution (much like the
standard deviation).
From the value of the 90th percentile peak WS and the “spread statistic” defined above, the wind sensitivity rating for
each “4-hour” time period is determined for each RAWS using the following criteria.
a. 90th percentile peak WS ≥ 10 mph during a “4-hour” time period
b. “spread statistic” for the same time period ≥ .50
The above criteria indicates adequate or better wind sensitivity. Wind ratings are determined as follows:
rating
0 - if the above criteria were not met for any of the six “4-hour” time periods of the day
1 - if the above criteria were met for at least 1 “4-hour” time period of the day
2 - if the above criteria were met for at least 1 daytime and 1 nighttime “4-hour” time period
A wind rating of 0 is considered “inadequate” ; 1 is “adequate” ; 2 is “good”.
Effort should be made to ensure that as many of the RAWS as possible in the final network have a wind rating of 1 or 2.
After the wind sensitivity rating is determined for each RAWS, the cross-correlation analysis of the daily minimum relative
humidities of the RAWS can be done. This is the main analysis for determining the “key” RAWS making up the final
network.
*note…Daily minimum RH is a good element to use for determining similarity between RAWS but one could experiment
with other elements as well such as some NFDRS index or component.
RH Correlation Analysis:
Procedure:
1. Start with a database of daily afternoon minimum RH’s for all RAWS in your analysis. Correlate the minimum daily RH
of each RAWS with the corresponding minimum RH of all other RAWS in your analysis. This results in a crosscorrelation matrix showing how each individual RAWS correlates with every other RAWS in your analysis in terms of
daily afternoon minimum RH.
2. Select from your cross-correlation matrix the RAWS with the most correlations at or above a chosen threshold and
designate as RAWS 1. I have found that for RH, a correlation coefficient threshold of around .90 is a good choice but
really depends on the area being analyzed. If you desire more stations in your network select a higher threshold ( ie .92 )
or if you want less key stations, choose a lower threshold.
3. Remove from your analysis RAWS 1 and all the other RAWS that correlate with it at your threshold value or higher.
4. From the remaining RAWS, repeat step 2 and and designate as RAWS 2. Again remove RAWS 2 and all those that
correlate with it at your threshold value or higher.
5. Continue repeating steps 2 through 4 until either no stations remain or none of the remaining stations correlate with
another at your threshold value or greater.
What you are left with is a subset of “KEY RAWS” that are uniquely different from one another as defined by your selection
of a correlation coefficient threshold. All other RAWS may be discarded from your network because they correlate highly
with at least one of the Key RAWS.
You will find as you proceed through this analysis that often you may have a “tie” between several RAWS and need to make
a choice on which to pick as a “key”. In such instances, I would recommend placing high priority on stations having a wind
rating of a 1 or 2.
Database and statistical software is needed to perform this analysis. I used Paradox database software and GBSTAT
statistical software.
I performed the above analysis using nearly all the RAWS in Washington and Oregon. I have written several papers
regarding this study pointing out various strategies etc. They are available as reference.
Resultant RAWS Network for Washington/Oregon
Area 1 - Olympics
Area 2 - Coastal
Area 3 – W Washington Cascades
Area 4 – NW Oregon Cascades
Area 5 – SW Oregon
Owl Mt
Quinalt
Jefferson
Cougar
DNR
USFS
USFS
USFS
Minot
Huckleberry
S Fork
Tillamook
Cedar Cr
Rockhouse 1
Village Cr
Goodwin
Dunes
Coos
DNR
DNR
ODF
ODF
USFS
ODF
BLM
USFS
USFS
ODF
Sumas
Finney Cr
Gold Mt
Johnson
Greenwater
Kosmos
Canyon Cr
DNR
USFS
USFS
USFS
DNR
DNR
USFS
Blue Rdg
Log Cr
Wanderers Pk
Red Box
Stayton
Yellowstone
Trout Cr
USFS
USFS
USFS
USFS
ODF
BLM
BLM
Signal Tree
Powers2
Calvert Pk
Bald Knob
Quail
Gold Beach
Red Mound
Emigrant
Zim
Parker Mt
Buckhorn
BLM
USFS
BLM
USFS
USFS
ODF
USFS
USFS
USFS
BLM
BLM
Area 6 – NE Washington Mtns
Deer Mt
Kettle Falls
Owl Mt
Gold Mt
Oroville
Peony Cr
Kramer
NCSB
WA Pass
USFS
NPS
USFS
BIA
BLM
USFS
BIA
USFS
USFS
Area 7 – Central Washington
Peoh Pt
Sedge Rdg
Grayback
Douglas
Juniper
DNR
DNR
DNR
BLM
BLM
Area 8 – N Central Oregon
Pollywog
Patjens
Mutton Mt
Haystack
Colgate
USFS
BLM
BIA
USFS
USFS
Area 9 – S Central Oregon
Lava Butte
Timothy Mt
Chemult
Chiloquin
Coffee Pot
USFS
USFS
USFS
USFS
USFS
Area 10 – Blue Mtns
Alder
La Grande
Pt Prominence
Sparta Butte
Blue Canyon
Antelope
Case
Briar Rabbit
Board Hollow
Salt Cr
USFS
ODF
USFS
USFS
BLM
BLM
USFS
USFS
ODF
BLM
Area 11 – SE Oregon
Summit
Wagontire
Moon Hill
Owyhee Rdg
Grassy Mt
USFS
BLM
BLM
BLM
BLM
Area 1 - Olympics
WS Rating 
HerbR
Cougar
Owl Mt
Jefferson
Humptulips
Quinalt
*Key Stations
1
0
2
HerbR
1
.723
.865
.643
.848
.508
Cougar
.723
1
.665
.732
.781
.389
Owl Mt
.865
.665
1
.647
.871
.461
0
0
0
Jefferson Humptulips Quinalt
.643
.848
.508
.732
.781
.389
.871
.647
.461
1
.715
.401
.715
1
.700
.401
.700
1
Tom Cr and Hurricane R were not used in analysis due to excessive missing or questionable data.
Results: 6 RAWS reduced to 4. Only 1 of the key RAWS is an adequate or better wind station.
Poorest correlation between a RAWS and its Key = .865; Average correlation = .868.
Lack of good wind RAWS appears to be a problem in this area.
Area 2 - Coastal
WS Rating 
2
0
2
*
Abernathy Cannibal CedarC
Abernathy
1
.673
.813
Cannibal
.673
1
.877
CedarC
*
.813
.877
1
Clay
.656
.813
.772
Coos
*
.293
.676
.487
Dean
.607
.879
.795
Dunes
*
.200
.541
.371
.886
* Goodwin
.669
.814
High
.669
.764
.731
* Huckleb
.863
.630
.777
Miller
.900
.733
.832
Minot
*
.636
.613
.598
RockH
*
.791
.768
.825
Rye
.843
.796
.885
Sfork
.875
*
.793
.890
* Tillamook
.426
.645
.581
Village
*
.732
.782
.773
Wilkinson
.718
.874
.794
Yoncalla
.620
.799
.753
*Key Stations
0
Clay
.656
.813
.772
1
.589
.788
.428
.892
.912
.564
.759
.546
.854
.759
.795
.477
.890
.896
.915
1
0
2
1
*
*
*
Coos Dean Dunes Goodwin
.293 .607 .200
.669
.676 .879 .541
.885
.487 .795 .371
.814
.589 .788 .428
.892
1
.695 .844
.678
.695
1
.547
.873
.844 .547
1
.510
.678 .873 .510
1
.538 .722 .377
.855
.258 .568 .194
.580
.380 .641 .293
.713
.339 .550 .268
.475
.443 .697 .331
.787
.414 .712 .294
.786
.404 .706 .303
.788
.687 .608 .703
.584
.549 .731 .414
.827
.621 .791 .459
.906
.592 .788 .417
.873
0
2
0
2
2
0
*
*
*
High Huckleb Miller Minot RockH Rye
.669
.863
.900 .636 .791 .843
.764
.630
.733 .613 .768 .796
.732
.777
.832 .598 .825 .885
.912
.564
.759 .546 .854 .759
.538
.258
.380 .340 .443 .414
.722
.568
.641 .550 .697 .712
.377
.194
.293 .268 .331 .294
.855
.580
.713 .475 .787 .786
1
.578
.709 .414 .815 .754
.578
1
.820 .621 .695 .767
.709
.820
1
.695 .868 .843
.414
.621
.695
1
.612 .505
.815
.695
.868 .612
1
.841
.754
.767
.843 .505 .841
1
.905 .694 .875 .891
.734
814
.428
.398
.478 .364 .465 .486
.922
.636
.773 .565 .857 .789
.871
.634
.773 .567 .832 .807
.930
.535
.673 .410 .783 .734
2
1
0
0
1
*
*
*
SFork Tillamook Village Wilkinson Yoncalla
.875
.426
.732
.718
.620
.793
.645
.782
.874
.799
.890
.581
.773
.794
.753
.795
.477
.890
.896
.915
.404
.687
.549
.621
.592
.706
.608
.731
.791
.788
.303
.703
.414
.459
.417
.906
.873
.788
.584
.827
.735
.428
.922
.871
.930
.814
.398
.636
.634
.535
.905
.478
.773
.773
.673
.694
.364
.565
.567
.410
.875
.465
.857
.832
.783
.891
.486
.789
.807
.734
1
.470
.776
.832
.744
.470
1
.457
.505
.459
.776
.456
1
.876
.852
.832
.505
.876
1
.868
.744
.459
.852
.868
1
Results: 19 RAWS reduced to 8 + Cedar Cr and Rockhouse1 added for wind and location reasons = 10. 8 of the 10 key RAWS are adequate or better wind stations.
Poorest correlation between a RAWS and its Key = .873 ; Average correlation = .891
Area 3 - Western Washington Cascades
WS Rating 
Sumas
Kidney
Finney
*
Gold Mt
*
* Johnson
Lester
* Greenwater
Kosmos
*
Hagar
Elk Rock
Orr Cr
Cedar Fl
Trout
Canyon
*
*Key Stations
*
2
*
Sumas
1
.877
.718
.817
.682
.744
.743
.731
.726
.766
.717
.729
.763
.740
0
Kidney
.877
1
.814
.908
.801
.835
.818
.799
.796
.789
.785
.799
.841
.787
0
*
Finney
.718
.814
1
.829
.839
.782
.800
.717
.755
.695
.750
.751
.815
.751
0
0
0
1
1
0
*
*
*
*
GoldM Johnson Lester GreenW Kosmos Hagar
.817
.682
.744
.743
.731
.726
.908
.801
.835
.818
.799
.796
.829
.839
.782
.800
.717
.755
1
.835
.853
.844
.807
.840
.835
1
.856
.844
.804
.817
.853
.856
1
.959
.889
.905
.959
.921
.844
.844
1
.877
.807
.804
.889
.877
1
.909
.840
.817
.905
.921
.909
1
.814
.802
.883
.870
.941
.902
.800
.825
.883
.902
.876
.942
.826
.809
.901
.898
.912
.936
.865
.835
.870
.886
.891
.915
.848
.815
.875
.887
.928
.904
0
ElkR
.766
.789
.695
.814
.802
.883
.870
.941
.902
1
.882
.903
.878
.921
0
0
OrrCr CedarF
.717
.729
.785
.799
.750
.751
.800
.826
.825
.809
.883
.901
.902
.898
.876
.912
.942
.936
.882
.903
1
.926
.926
1
.884
.920
.949
.882
0
2
*
Trout Canyon
.763
.740
.841
.787
.815
.751
.865
.848
.835
.815
.870
.875
.886
.887
.891
.928
.915
.904
.878
.921
.884
.882
.920
.949
1
.903
.903
1
Results: 14 RAWS reduced to 7. 4 of the 7 Key RAWS are adequate or better wind stations.
Poorest correlation between a RAWS and its Key = .902 ; Average correlation = .926
Tolt was not used in analysis because of excessive missing data.
Area 4 - Northwest Oregon Cascades
WS Rating 
BlueR
Boulder
Brush
Fields
Hamilton
Hawley
Horse
Log
*
Middle
Pebble
*
RBox
*
Stayton
*
SugarLoaf
TroutC
*
* Wanderers
YellowS
*
Eagle
*Key Stations
*
2
0
1
0
0
0
*
BlueR Boulder Brush Fields Hamilton Hawley
1
.719
.675 .677
.739
.670
.719
1
.809 .829
.844
.818
.675
.809
1
.819
.798
.915
.677
.829
.819
1
.766
.909
.739
.844
.798
.766
1
.788
.670
.818
.915
.909
.788
1
.725
.849
.871
.816
.882
.866
.951
.795
.844
.801
.778
.795
.844
.830
.783
.746
.869
.755
.920
.893
.685
.837
.822
.889
.816
.892
.817
.819
.877
.814
.735
.805
.902
.786
.813
.857
.654
.873
.858
.934
.803
.938
.911
.943
.694
.806
.886
.799
.817
.866
.816
.806
.894
.815
.739
.884
.869
.866
.874
.883
.778
.837
.883
.821
.893
.834
0
Horse
.725
.849
.871
.816
.882
.866
1
.900
.820
.846
.884
.845
.855
.861
.920
.916
.903
0
*
Log
.795
.844
.801
.778
.951
.795
.900
1
.882
.833
.889
.826
.807
.810
.902
.894
.904
2
0
0
*
*
Middle Pebble RBox
.844
.685
.816
.830
.920
.892
.783
.837
.817
.746
.893
.819
.869
.822
.877
.755
.889
.814
.820
.846
.884
.882
.833
.889
1
.798
.901
.798
1
.864
.901
.864
1
.846
.818
.821
.771
.905
.842
.773
.859
.844
.875
.836
.927
.838
.900
.912
.853
.841
.858
1
0
0
2
1
0
*
*
*
*
Stayton Sugarl TroutC Wanderers YellowS Eagle
.735
.654
.694
.817
.739
.778
.805
.873
.806
.866
.884
.837
.902
.858
.911
.816
.869
.883
.786
.934
.886
.806
.866
.821
.813
.803
.799
.894
.874
.893
.857
.938
.943
.815
.883
.834
.845
.855
.861
.920
.916
.903
.826
.807
.810
.902
.894
.904
.846
.771
.773
.875
.838
.853
.818
.905
.859
.836
.900
.841
.821
.842
.844
.927
.912
.858
.912
1
.821
.871
.827
.856
.821
1
.911
.825
.892
.810
.911
.871
1
.819
.913
.869
.827
.825
.819
1
.898
.877
.856
.892
.913
.898
1
.889
.912
.810
.869
.877
.889
1
Results: 16 RAWS reduced to 6 plus Yellowstone and Wanderers RAWS added for wind considerations to equal 8 Key RAWS. 4 of the 8 Key RAWS
are adequate or better wind stations.
Poorest correlation between a RAWS and its Key = .893 ; Average correlation = .919
Area 5 - Southwest Oregon (east)
WS Rating 
Emigrant
Grandad
Cinnamon
Toketee
Buckeye
Stella
Zim
*
Seldom
Dead
* Buckhorn
Parker
*
*Key Stations
*
1
0
0
0
0
*
Emigrant Grandad Cinnamon Toketee Buckeye
.925
.947
.952
.926
1
.925
1
.904
.933
.932
.947
.904
1
.946
.921
.952
.933
.946
1
.951
.926
.932
.921
.951
1
.901
.852
.919
.907
.917
.866
.818
.902
.868
.895
.844
.792
.884
.847
.848
.846
.810
.869
.839
.869
.814
.792
.839
.838
.840
.787
.746
.839
.790
.811
0
0
0
0
0
1
*
*
*
Zim Seldom Dead Buckhorn Parker
.866
.844
.846
.814
.787
.818
.792
.810
.792
.746
.902
.884
.869
.839
.839
.868
.847
.839
.838
.790
.895
.848
.869
.840
.811
.913
.884
.882
.836
.854
1
.871
.885
.865
.867
.871
1
.900
.855
.905
.885
.900
1
.887
.915
.865
.855
.887
1
.864
.905
.915
.867
.864
1
Stella
.901
.852
.919
.907
.917
1
.913
.884
.882
.836
.854
Area 5 – (cont.) Southwest Oregon (west)
WS Rating 
Evans
Merlin
Onion
Silver
Provolt
*
Illinois
Burnt Mtn
Signal
* Powers2
BaldK
*
Calvert
*
Agness
Lawson
QuailP
*
RedMo
*
GoldB
*
*Key Stations
2
1
2
1
Evans
1
.914
.924
.857
.906
.882
.744
.779
.641
.782
.875
.761
.861
.797
.549
.284
Merlin
.914
1
.907
.894
.935
.863
.770
.814
.655
.820
.903
.771
.861
.786
.560
.261
Onion
.924
.907
1
.837
.906
.905
.760
.797
.627
.815
.924
.770
.910
.813
.533
.284
Silver
.857
.894
.837
1
.832
.802
.848
.894
.719
.837
.907
.779
.833
.807
.614
.281
1
*
Provalt
.906
.935
.906
.832
1
.895
.713
.748
.587
.746
.858
.746
.853
.783
.531
.296
0
0
Illinois
.882
.863
.905
.802
.895
1
.757
.760
.606
.726
.863
.814
.916
.874
.611
.387
BurntM
.744
.770
.760
.848
.713
.757
1
.927
.769
.802
.853
.857
.842
.837
.725
.408
2
0
2
2
1
0
2
2
0
*
*
*
*
*
*
*
Signal Powers2 BaldK Calvert Agness Lawson QuailP RedMo GoldB
.779
.641
.782
.875
.761
.861
.797
.549
.284
.814
.655
.820
.903
.771
.861
.786
.560
.261
.797
.627
.815
.924
.770
.910
.813
.533
.284
.894
.719
.837
.907
.779
.833
.807
.614
.281
.748
.587
.746
.858
.746
.853
.783
.531
.296
.760
.606
.726
.863
.814
.916
.874
.611
.387
.927
.769
.802
.853
.857
.842
.837
.725
.408
1
.767
.880
.896
.832
.838
.829
.709
.351
.767
1
.712
.677
.787
.652
.684
.696
.540
.880
.712
1
.893
.744
.827
.740
.587
.214
.916
.896
.677
.893
1
.812
.831
.611
.295
.832
.787
.744
.812
1
.858
.892
.806
.587
.838
.652
.827
.916
.858
1
.909
.684
.380
.892
.829
.684
.740
.831
.909
1
.802
.483
.709
.696
.587
.611
.806
.684
.802
1
.651
.351
.540
.214
.295
.587
.380
.483
.651
1
Results: 27 RAWS reduced to 12. 9 of the 11 Key RAWS are adequate or better wind stations.
Poorest correlation between a RAWS and its Key = .892 ; Average correlation = .919
Area 6 - Northeast Washington Mountains
WS Rating
1
83Mon
83Mon
1
Brown .727
Camp4 .735
Cedar .740
Deer
*
.678
Doug .674
First
.683
Gold
*
.669
* Kettle .579
* Kramer .707
Lane
.629
Leecher .650
LostL .716
Midnight .657
* NCSB .695
Nesplm .642
* Oroville .703
Owl
*
.639
Pmoore .655
* Peony .740
TacC .639
* WPass .894
*Key Stations
0
1
0
Brown Camp4 Cedar
.727
.735
.740
1
.780
.853
.780
1
.632
.853
.632
1
.908
.853
.651
.759
.897
.645
.737
.856
.666
.904
.740
.829
.842
.717
.774
.827
.890
.688
.891
.673
.888
.740
.873
.672
.874
.775
.736
.852
.734
.794
.912
.731
.632
.883
.838
.728
.827
.770
.750
.841
.656
.862
.866
.701
.823
.902
.815
.787
.801
.637
.818
.731
.856
.764
1
*
Deer
.678
.853
.651
.908
1
.641
.642
.870
.835
.687
.899
.628
.725
.822
609
.724
.697
.888
.888
.708
.906
.695
1
1
Doug
.674
.759
.897
.645
.641
1
.875
.733
.667
.908
.673
.929
.809
.709
.925
.823
.772
.645
.653
.834
.616
.760
First
.683
.737
.856
.666
.642
.875
1
.711
.620
.819
.649
.922
.789
.643
.917
.769
.747
.642
.634
.828
.683
.779
1
*
Gold
.669
.904
.740
.829
.870
.733
.711
1
.831
.804
.899
.720
.804
.907
.691
.861
.755
.849
.905
.837
.880
.670
1
2
0
2
0
1
1
1
2
0
0
0
*
*
*
*
*
*
Kettle Kramer Lane Leecher LostL Midnight NCSB Nesplm Oroville Owl PMoore Peony
.579
.707 .629 .650 .716
.657
.695
.642
.703
.639 .655
.740
.842
.827 .891 .740 .874
.852
.731
.883
.827
.841 .866
.902
.717
.890 .673 .873 .775
.734
.912
.838
.770
.656 .701
.815
.774
.688 .888 .672 .736
.794
.632
.728
.750
.862 .823
.787
.835
.687 .899 .628 .725
.822
.609
.724
.697
.888 .888
.708
.667
.908 .673 .929 .809
.709
.925
.823
.772
.645 .653
.834
.620
.819 .649 .922 .789
.643
.917
.769
.747
.642 .634
.828
.907
.831
.804 .899 .720 .804
.691
.861
.755
.849 .905
.837
1
.718 .853 .656 .736
.784
.661
.787
.745
.798 .858
.771
.890
.718
1
.717 .857 .833
.785
.862
.817
.682 .731
.877
.853
.717
1
.681 .792
.829
.641
.789
.735
.892 .863
.819
.656
.857 .681
1
.785
.664
.927
.803
.743
.643 .631
.831
.736
.833 .792 .785
1
.754
.788
.800
.876
.802 .735
.921
.784
.785 .829 .664 .754
1
.667
.845
.732
.780 .902
.794
.661
.862 .641 .927 .788
.667
1
.804
.768
.627 .626
.822
.787
.890 .789 .803 .800
.845
.804
1
.778
.719 .805
.853
.745
.817 .735 .743 .876
.732
.768
.778
1
.738 .709
.852
.798
.682 .892 .643 .802
.780
.627
.719
.738
1
.801
.777
.858
.731 .863 .631 .735
.902
.626
.805
.709
.801
1
.782
.771
.877 .819 .831 .921
.794
.822
.853
.852
.777 .782
1
.812
.698 .854 .580 .694
.870
.575
.740
.668
.828 .933
.728
.626
.752 .629 .736 .750
.669
.811
.693
.751
.656 .663
.749
Results: 22 RAWS reduced to 9. 7 of the 9 Key RAWS are adequate or better wind stations.
Poorest correlation between a RAWS and its Key = .894 ; Average correlation = .909
Teepee, Flowery Trail and Starvation Mtn were not used in analysis because of excessive bad or missing data.
Area 7 - Central Washington
WS Rating 
Central WA
Mountains
DryC
* GrayB
* Peoh
Sawmill
* Sedge
Swauk
Teepee
View
* Douglas
* Juniper
*Key Stations
2
DryC
1
.820
.904
.874
.734
.906
.782
.914
.828
.633
2
*
GrayB
.820
1
.865
.862
.758
.840
.914
.810
.753
.773
1
*
Peoh
.904
.865
1
.917
.732
.901
.824
.907
.776
.669
0
Sawmill
.874
.862
.917
1
.732
.885
.828
.847
.766
.710
2
*
Sedge
.734
.758
.732
.732
1
.779
.810
.692
.762
.720
0
0
0
Swauk
.906
.840
.901
.885
.779
1
.824
.855
.859
.697
Teepee
.782
.914
.824
.828
.810
.824
1
.761
.784
.757
View
.914
.810
.907
.847
.692
.855
.761
1
.789
.624
Results: 10 RAWS reduced to 5. All 3 Key RAWS are adequate or better wind stations.
Poorest correlation between a RAWS and its Key = .901 ; Average correlation = .909
2
*
Douglas
.828
.753
.776
.766
.762
.859
.784
.789
1
.712
2
*
Juniper
.633
.773
.669
.710
.720
.697
.757
.624
.712
1
0
TacC
.639
.801
.637
.818
.906
.616
.683
.880
.812
.698
.854
.580
.694
.870
.575
.740
.668
.828
.933
.728
1
.640
1
*
WPass
.894
.731
.856
.764
.695
.760
.779
.670
.626
.752
.629
.736
.750
.669
.811
.693
.751
.656
.663
.749
.640
1
Area 8 - North Central Oregon
WS Rating 
* Colgate
* Haystack
HeHe
Metolius
* Mutton
Npole
* Patjens
* Pollywog
Wamic
Wasco
Wilson
*Key Stations
1
*
Colgate
1
.884
.897
.914
.902
.828
.833
.845
.869
.813
.869
1
*
Haystack
.884
1
.898
.873
.903
.914
.862
.806
.824
.755
.808
0
0
HeHe
.897
.898
1
.911
.940
.887
.894
.891
.910
.864
.912
Metolius
.914
.873
.911
1
.892
.849
.830
.852
.884
.830
.873
2
*
Mutton
.902
.903
.940
.892
1
.938
.915
.892
.895
.859
.915
2
NPole
.828
.914
.887
.849
.938
1
.886
.833
.854
.770
.844
2
*
Patjens
.833
.862
.894
.830
.915
.886
1
.879
.854
.868
.840
2
*
Pollywog
.845
.806
.891
.852
.892
.833
.879
1
.890
.892
.870
1
0
0
Wamic
.869
.824
.910
.884
.895
.854
.854
.890
1
.857
.879
Wasco
.813
.755
.864
.830
.859
.770
.868
.892
.857
1
.863
Wilson
.869
.808
.912
.873
.915
.844
.840
.870
.879
.863
1
Results: 11 RAWS reduced to 4. Patjens added for wind and geographic reasons increasing the Key stations to 5. All 5 Key RAWS are
adequate or better wind stations.
Poorest correlation between a RAWS and its Key = .892 ; Average correlation = .916
Area 9 - South Central Oregon
WS Rating 
BlackR
CabinL
Calimus
Camp2
* Chemult
* Chiloquin
* CoffeeP
FRock
Gerber
Hoyt
LavaB
*
RoundM
Strawberry
* Timothy
*Key Stations
0
BlackR
1
.903
.841
.881
.894
.847
.725
.853
.728
.859
.901
.925
.724
.870
0
1
0
0
1
1
1
1
*
*
*
CabinL Calimus Camp2 Chemult Chiloquin CoffeeP FRock Gerber
.903
.841
.881
.894
.847
.725
.853
.728
1
.907
.895
.867
.874
.814
.954
.816
.907
1
.836
.857
.925
.882
.897
.902
.895
.836
1
.851
.779
.767
.856
.736
.867
.857
.851
1
.874
.760
.857
.757
.925
.874
.779
.874
1
.816
.866
.855
.941
.814
.882
.767
.760
.816
1
854
.954
.897
.856
.857
.866
.854
1
.847
.816
.902
.736
.757
.855
.941
.847
1
.902
.938
.849
.886
.920
.858
.915
.867
.918
.897
.829
.863
.825
.737
.868
.713
.889
.819
.857
.845
.814
.703
.823
.711
.817
.896
.721
.746
.857
.944
.830
.968
.948
.923
.915
.837
.888
.896
.818
.819
Results: 14 RAWS reduced to 5. 4 of the 5 Key RAWS are adequate or better wind stations.
Poorest correlation between a RAWS and its Key = .900 ; Average correlation = .926
0
Hoyt
.859
.902
.938
.849
.886
.920
.858
.915
.867
1
.846
.809
.856
.936
2
2
1
1
*
*
LavaB RoundM Strawberry Timothy
.901
.925
.724
.870
.897
.889
.817
.948
.829
.819
.896
.915
.918
.857
.721
.837
.863
.845
.746
.888
.825
.814
.857
.896
.944
.737
.703
.818
.868
.823
.830
.923
.713
.711
.968
.819
.846
.809
.856
.936
.900
1
.718
.862
.900
1
.726
.849
.718
.726
1
.816
.862
.849
.816
1
Area 10 - Blue Mountains
WS Rating
Alder
Allison
* Antelope
* Bhollow
BadgerC
BlueC
*
BoardC
BrerR
*
Case
*
ColdS
Crane
Crow
Eden
FallM
HarleB
Jridge
Minam
* Pt Prom
SaltC
*
SlideM
* Sparta
Tupper
* LaGrnd
*Key Stations
*
2
1
2
1
0
*
*
*
Alder Allison Antelope BHollow Badger
1
.711
.742
.730
.699
.711
1
.884
.821
.934
.742 .884
1
.751
.836
.730 .821
.751
1
.886
.699 .934
.836
.886
1
.799 .802
.870
.727
.758
.773 .914
.870
.857
.896
.759 .937
.887
.864
.932
.807 .869
.846
.839
.858
.739 .915
.846
.889
.952
.744 .886
.951
.751
.841
.726 .945
.943
.774
.877
.872 .728
.820
.711
.723
.774 .926
.908
.818
.885
.816 .781
.853
.717
.755
.827 .827
.844
.790
.812
.821 .759
.828
.715
.734
.799 .773
.802
.755
.752
.951
.676 .877
.800
.888
.739 .875
.802
.914
.916
.768 .756
.842
.678
.727
.826 .862
.826
.881
.888
.867 .812
.854
.803
.811
1
0
*
BlueC Board
.799 .773
.802 .914
.870 .870
.727 .857
.758 .896
1
.855
.855
1
.835 .928
.847 .933
.796 .911
.876 .883
.843 .882
.849 .798
.889 .960
.901 .820
.880 .913
.877 .836
.861 .856
.736 .867
.772 .901
.880 .806
.811 .917
.865 .863
2
*
Brer
.759
.937
.887
.864
.932
.835
.928
1
.898
.956
.882
.917
.790
.924
.805
.854
.794
.792
.892
.907
.789
.906
.860
1
*
Case
.807
.869
.846
.839
.858
.847
.933
.898
1
.894
.848
.852
.837
.910
.810
.944
.851
.859
.837
.876
.810
.933
.897
0
0
1
0
1
2
ColdS Crane Crow Eden FallM Harle
.739 .744 .726 .872 .774 .816
.915 .886 .945 .728 .926 .781
.846 .951 .943 .820 .908 .853
.889 .751 .774 .711 .818 .717
.952 .841 .877 .723 .885 .755
.796 .876 .843 .849 .889 .901
.911 .883 .882 .798 .960 .820
.956 .882 .917 .790 .924 .805
.894 .848 .852 .837 .910 .810
1
.860 .887 .755 .899 .765
.860
1
.928 .810 .913 .836
.887 .928
1
.767 .917 .802
.755 .810 .767
1
.811 .864
.899 .913 .917 .811
1
.838
.765 .836 .802 .864 .838
1
.845 .859 .824 .869 .907 .866
.761 .821 .796 .900 .852 .873
.765 .801 .771 .870 .857 .912
.932 .805 .838 .708 .848 .725
.934 .811 .837 .729 .876 .754
.754 .826 .805 .844 .834 .847
.915 .831 .841 .824 .878 .782
.831 .811 .819 .910 .865 .871
0
0
2
*
JRidge Minam Prom
.827 .821 .799
.827 .759 .773
.844 .828 .802
.790 .715 .755
.812 .734 .752
.880 .877 .861
.913 .836 .856
.854 .794 .792
.944 .851 .859
.845 .761 .765
.859 .821 .801
.824 .796 .771
.869 .900 .870
.907 .852 .857
.866 .873 .912
1
.893 .908
.893
1
.922
.908 .922
1
.781 .722 .720
.834 .758 .765
.845 .859 .801
.902 .820 .839
.912 .900 .888
Results: 23 RAWS reduced to 10. All 10 Key RAWS are adequate or better wind stations.
Poorest correlation between a RAWS and its Key = .910 ; Average correlation = .935
Black Mtn, Bobcat and Keeney2 were not used in analysis because of excessive bad or missing data.
Area 11 - Southeast Oregon
WS Rating 
WagonT
BaldM
Basque
BrownW
Foster
MoonH
*
Phill
Riddle
Sage
* Summit
* OwyheeR
KelseyB
Grassy
*
*Key Stations
*
2
*
WagonT
1
.900
.817
.936
.909
.867
.861
.880
.945
.874
.738
.773
.698
2
BaldM
.900
1
.884
.848
.936
.932
.926
.927
.942
.878
.883
.909
.826
2
2
2
Basque BrownW Foster
.936
.817
.909
.884
.848
.936
1
.764
.924
.764
1
.853
.924
.853
1
.936
.944
.819
.944
.799
.956
.899
.825
.929
.857
.893
.938
.857
.827
.899
.853
.733
.829
.830
.772
.847
.892
.706
.799
2
*
MoonH
.867
.932
.936
.819
.944
1
.959
.943
.897
.884
.860
.849
.860
2
2
2
PHill
.861
.926
.944
.799
.956
.959
1
.944
.911
.869
.851
.835
.856
Riddle
.880
.927
.899
.825
.929
.943
.944
1
.915
.861
.830
.843
.821
Sage
.945
.942
.857
.893
.938
.897
.911
.915
1
.862
.810
.843
.762
Results: 13 RAWS reduced to 5. All 5 Key RAWS are adequate or better wind stations.
Poorest correlation between a RAWS and its Key = .894 ; Average correlation = .936
Borax and Red Butte RAWS not used due to excessive bad or missing data.
2
2
2
*
*
Summit OwyheeR KelseyB
.874
.738
.773
.878
.883
.909
.857
.853
.830
.827
.733
.772
.899
.829
.847
.884
.860
.849
.869
.851
.835
.861
.830
.843
.862
.810
.843
1
.783
.788
.894
.783
1
.788
.894
1
.752
.870
.849
2
*
Grassy
.698
.826
.892
.706
.799
.860
.856
.821
.762
.752
.870
.849
1
1
*
SaltC
.676
.877
.800
.888
.951
.736
.867
.892
.837
.932
.805
.838
.708
.848
.725
.781
.722
.720
1
.912
.711
.873
.786
0
Slide
.739
.875
.802
.914
.916
.772
.901
.907
.876
.934
.811
.837
.729
.876
.754
.834
.758
.765
.912
1
.724
.906
.810
1
0
2
*
*
Sparta Tupper LaGrnd
.768 .826
.867
.756 .862
.812
.842 .826
.854
.678 .881
.803
.727 .888
.811
.880 .811
.865
.806 .917
.863
.789 .906
.860
.810 .933
.897
.754 .915
.831
.826 .831
.811
.805 .841
.819
.844 .824
.910
.834 .878
.865
.847 .782
.871
.845 .902
.912
.859 .820
.900
.801 .839
.888
.711 .873
.786
.724 .906
.810
1
.774
.848
.774
1
.883
.848 .883
1