November mean monthly minimum temperature (1971-2000) not adjusted for effects of radiation and skyview factors

Raster Dataset

Thumbnail

Tags
air temperature, climate data, climate change, climate modeling, mapping


Summary

Display or analysis requiring spatially distributed mean monthly termperature maps over the HJ Andrews.

Description

Minimum mean monthly temperature maps (and average annual means) with the effects of vegetation removed, but not corrected for incoming monthly solar radiation. Maps were developed using PRISM (Parameter-elevation Regressions on Independent Slopes Model), developed by Dr. Christopher Daly at the Spatial Climate Analysis Service. Grids were exported into ASCII format from GRASS GIS software; values are in degrees C x 100.

Credits

Use limitations

See data access policy at www.fsl.orst.edu/lter (especialy the data use policy)

Extent

West  -122.292380    East  -122.058938
North  44.297235    South  44.165482

Scale Range
Maximum (zoomed in)  1:5,000
Minimum (zoomed out)  1:150,000,000

ArcGIS Metadata 

Topics and Keywords 

Themes or categories of the resource  climatologyMeteorologyAtmosphere


*Content type  Downloadable Data


Place keywords  HJ Andrews Experimental Forest, Blue River Watershed, Oregon, Willamette Basin

Theme keywords  climate modeling, climate data, air temperature, mapping, climate change, radiation

Citation 

Title November mean monthly minimum temperature (1971-2000) not adjusted for effects of radiation and skyview factors
Publication date 2002-07-01 00:00:00


Presentation formats* digital map


Other citation details
ms02923.zip



Citation Contacts 

Responsible party
Organization's name Jonathan Smith
Contact's position graduate student
Contact's role  originator


Resource Details 

Dataset languages* English (UNITED STATES)
Dataset character set  utf8 - 8 bit UCS Transfer Format


Status  completed
Spatial representation type* grid


*Processing environment Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.2.2.3552


ArcGIS item properties
*Name nosvf_tmin11
*Location file://J:\hja83\nosvf_tmin11
*Access protocol Local Area Network

Extents 

Extent
Description
time frame of data

Temporal extent
Beginning date 1971-01-01 00:00:00
Ending date 2000-12-31 00:00:00

Extent
Geographic extent
Bounding rectangle
Extent type  Extent used for searching
*West longitude -122.292380
*East longitude -122.058938
*North latitude 44.297235
*South latitude 44.165482
*Extent contains the resource Yes

Extent in the item's coordinate system
*West longitude 556573.356235
*East longitude 575073.356235
*South latitude 4890681.500103
*North latitude 4905131.500103
*Extent contains the resource Yes

Resource Points of Contact 

Point of contact
Individual's name Christopher Daly
Organization's name PRISM Group, Northwest Alliance for Computational Science and Engineering
Contact's position Principal Investigator
Contact's role  owner


Contact information
Phone
Voice (541) 737-2531
Fax (541) 737-6609

Address
Type both
Delivery point 2000 Kelley Engineering Center
City Corvallis
Administrative area Oregon
Postal code 97331-2209
Country US
e-mail addressdaly@nacse.org



Resource Maintenance 

Resource maintenance
Update frequency  not planned


Resource Constraints 

Constraints
Limitations of use

See data access policy at www.fsl.orst.edu/lter (especialy the data use policy)


Spatial Reference 

ArcGIS coordinate system
*Type Projected
*Geographic coordinate reference GCS_North_American_1983
*Projection NAD_1983_UTM_Zone_10N
*Coordinate reference details
Projected coordinate system
Well-known identifier 26910
X origin -5120900
Y origin -9998100
XY scale 450445547.3910538
Z origin -100000
Z scale 10000
M origin -100000
M scale 10000
XY tolerance 0.001
Z tolerance 0.001
M tolerance 0.001
High precision true
Latest well-known identifier 26910
Well-known text PROJCS["NAD_1983_UTM_Zone_10N",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-123.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",26910]]

Reference system identifier
*Value 26910
*Codespace EPSG
*Version 8.2.6


Spatial Data Properties 

Georectified Grid
*Number of dimensions 2


Axis dimensions properties
Dimension type  row (y-axis)
*Dimension size 289
*Resolution  50.000000 [mil_i] (mil)

Axis dimensions properties
Dimension type  column (x-axis)
*Dimension size 370
*Resolution  50.000000 m (meter)

*Cell geometry  area
*Point in pixel  center


*Transformation parameters are available Yes


*Check points are available No


Corner points
*Point 556573.356235 4890681.500103
*Point 556573.356235 4905131.500103
*Point 575073.356235 4905131.500103
*Point 575073.356235 4890681.500103

*Center point 565823.356235 4897906.500103




ArcGIS Raster Properties
General Information
*Pixel depth 32
*Compression type RLE
*Number of bands 1
*Raster format GRID
*Source type continuous
*Pixel type floating point
*No data value -3.4028235e+038
*Has colormap No
*Has pyramids Yes




Spatial Data Content 

Image Description
*Type of information  physical measurement
Attribute described by cell values nosvf_tmin11


Band information
*Description nosvf_tmin11
*Maximum value 121.000000
*Minimum value -311.000000
Units
Symbol Cel

*Number of bits per value 32


Triangulation has been performed No
Radiometric calibration is available No
Camera calibration is available No
Film distortion information is available No
Lens distortion information is available No


Lineage 

Process step
When the process occurred 2002-07-01 00:00:00
Description
Original datasets consisted of daily mean, maximum and minimum temperatures that had been quality-checked and processed into a consistent format. Missing data were indicated and questionable values were flagged according to a number of conditions (Bierlmaier, pers. comm.) Any value flagged in any way during this first filtering process was immediately discarded from the database and transformed into a missing value for that day. Daily temperatures were graphed and visually analyzed again on monthly and yearly scales to check for erroneous values possibly missed during the first filtering process. Again, any questionable values were discarded, ensuring the most reliable possible dataset. For the MET sites with variable sensor heights, the 1.5 meter values were used unless that value was missing, in which case the next lower sensor (2.5 meters) was used.
After filtering twice, any site left with less than three years of data (10% of the 30-year period) was discarded. The GR sites were an exception to this rule because of their strategic locations in underrepresented areas or next to open MET sites (making them ideal for open/closed canopy comparisons). Most discarded sites are in areas that are adequately represented spatially by long-term sites.

After mean monthly maximum and minimum temperature datasets were adjusted with regression functions to simulate open flat sites, they were imported into PRISM. PRISM uses a combination of geographic and statistical methods to spatially interpolate climate variables (Daly et al., 1994). It is a coordinated set of rules, decisions, and calculations (an ‘inference engine’) designed to mirror the decision-making process an expert climatologist would use in making a map (Daly and Johnson, 1999).

Weights are assigned to the point data according to various factors. A station is downweighted when its elevation differs significantly from that of the target cell or is far from it geographically. The station’s influence is further reduced if it is clustered with others (avoiding over-representation), or has a significantly different slope and aspect (topographic facet) than the target cell (Daly et al., 1997). When used on large areas, PRISM is able to consider a station’s proximity to the ocean and the ‘flatness’ of an area to determine whether two-dimensional or three-dimensional estimates should be used (Daly and Johnson, 1999). These last two factors are not important in this study, because the HJA is a small area 150 kilometers from the nearest ocean and is hilly enough to require only the three-dimensional model.

An iterative approach was taken in creating the gridded data for the temperature maps. With the exception of the stream sites, all canopy/topography-adjusted maximum and minimum temperature datasets were initially input into PRISM, using default parameters and a single-layer atmosphere model. The resulting grids clearly showed which sites to initially discard. For example, the unusually warm sites RS38, RS89, and H15MET were visually obvious as high temperature ‘bulls eyes’. All GR sites were revealed to be anomalously warm and were also discarded. Other sites such as CS2MET, RS02 and RS86 were also discarded because of warm or cold spatial biases. Including RS01’s data caused unusual temperature patterns due to the seasonal presence of Blue River Reservoir. From initial PRISM modeling and personal experience, VANMET was known to be anomalously warm and RS04 anomalously cool. In order to retain spatial representation in their area, a ‘pseudo-site’ was created at point between them on the DEM, with temperature values given as their averages for each month. Using this pseudo-site instead of VANMET and RS04 individually gave far more realistic temperatures on top of the northern peaks and ridges of the HJA. The National Climatic Data Center’s 500-millibar (approximately 5200 meters) 2.5° global temperature grid was used as a high-level anchor ‘site’ over the HJA to ensure that the tops of the highest peaks and ridges in the area were modeled correctly. Table 4.26 summarizes the sites used in the final analysis. With the exception of the Mack Creek area, most regions within the HJA are fairly well-represented spatially, having a measurement station within about two kilometers.

PRISM was run again with the reduced set of sites. Since the number of sites had been decreased to 15, the radius of influence was specified to consider every point in the HJA when making cell estimates. Even using a single atmospheric layer model with this specification, a temperature inversion over the lower Lookout Creek Valley was evident during most months for both maximum and minimum temperatures. The maximum temperature inversion is more defined in January (at an elevation of approximately 700 meters), with minimum temperature inversions well-defined in both January and July at approximately 720 meters. Taking the base elevation of the Lookout Creek valley to be 420 meters, depths of inversions over it were approximately 280 meters for maximum temperatures and 300 meters for minimum temperatures.

We thus switched to the two-atmosphere model in PRISM with these inversion height values specified. A certain amount of ‘cross-talk’ was allowed between layers to avoid an unnaturally abrupt transition between layers. Elevations were buffered by ± 150 meters for maximum temperature and ± 120 meters for minimum temperatures, reflecting the higher seasonal variation in minimum temperature inversion heights. Variable inversion heights with elevation were modeled such that the deepest inversions were found at the lowest elevations (over the lower Lookout Creek and McKenzie River valleys). The two-layer atmosphere model was used to model both maximum and minimum temperatures for every month.

All of the final parameter values used to make the grids were determined by varying them slightly in different combinations, then iteratively running PRISM and analyzing the results both statistically (with regression functions through the PRISM interface) or visually (with the temperature grids). In this way, knowledge of HJA microclimatology could be applied and combined with PRISM’s statistical abilities to create maps that were not only numerically sound, but made sense physically.

Citations for PRISM: Daly, C., E.H. Helmer, and M. Quinones. 2003. Mapping the climate of Puerto Rico, Vieques, and Culebra. International Journal of Climatology, 23: 1359-1381.

Daly, C., W. P. Gibson, G.H. Taylor, G. L. Johnson, P. Pasteris. 2002. A knowledge-based approach to the statistical mapping of climate. Climate Research, 22: 99-113. Daly, C., R.P. Neilson, and D.L. Phillips. 1994. A statistical-topographic model for mapping climatological precipitation over mountainous terrain. Journal of Applied Meteorology 33: 140-158.



Process contact
Organization's name Jonathan Smith
Contact's position graduate student
Contact's role  originator




Process step
When the process occurred 2009-05-13 00:00:00
Description
convert from NAD27 to NAD83 (projection)

Rationale
per US Forest Service requirements



Process contact
Individual's name Theresa Valentine
Organization's name Corvallis Forest Science Laboratory
Contact's position Spatial Information Manager
Contact's role  processor


Contact information
Phone
Voice 541-750-7333
Fax 541-758-7760

Address
Type both
Delivery point 3200 SW Jefferson Way
City Corvallis
Administrative area Oregon
Postal code 97332
Country US
e-mail addresstvalentine@fs.fed.us or theresa.valentine@orst.edu

Hours of service
m-f 8:00am-4:00pm





Geoprocessing history 

Process
Process name
Date 2009-05-13 16:56:44
Tool location C:\Program Files\ArcGIS\ArcToolbox\Toolboxes\Data Management Tools.tbx\ProjectRaster
Command issued
ProjectRaster J:\hja27\daly\jsmith\nosvf_tmin11 J:\hja83\temp\nosvf_tmin11 PROJCS['NAD_1983_UTM_Zone_10N',GEOGCS['GCS_North_American_1983',DATUM['D_North_American_1983',SPHEROID['GRS_1980',6378137.0,298.257222101]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]],PROJECTION['Transverse_Mercator'],PARAMETER['False_Easting',500000.0],PARAMETER['False_Northing',0.0],PARAMETER['Central_Meridian',-123.0],PARAMETER['Scale_Factor',0.9996],PARAMETER['Latitude_Of_Origin',0.0],UNIT['Meter',1.0]] NEAREST 50 NAD_1927_To_NAD_1983_NADCON # PROJCS['NAD_1927_UTM_Zone_10N',GEOGCS['GCS_North_American_1927',DATUM['D_North_American_1927',SPHEROID['Clarke_1866',6378206.4,294.9786982]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]],PROJECTION['Transverse_Mercator'],PARAMETER['False_Easting',500000.0],PARAMETER['False_Northing',0.0],PARAMETER['Central_Meridian',-123.0],PARAMETER['Scale_Factor',0.9996],PARAMETER['Latitude_Of_Origin',0.0],UNIT['Meter',1.0]]
Include in lineage when exporting metadata No


Distribution 

Distributor
Contact information
Organization's name Forest Science Data Bank
Individual's name Forest Science Data Bank
Contact's role  distributor


Contact information
Phone
Voice 541-750-7333

Address
Type both
Delivery point 3200 SW Jefferson Way
City Corvallis
Administrative area OR
Postal code 97331
Country US
e-mail addresshjadata@fsl.orst.edu

Contact instructions
visit the website @ http://andrewsforest.oregonstate.edu/lter/data/metadata.cfm?topnav=115



Available format
Name zip file with arcgis export file
File decompression technique use import in arcgis


Transfer options
Units of distribution zip file


Online source
Locationhttp://andrewsforest.oregonstate.edu/data/studies/spatialdata/ms02923.zip
Access protocol zip file with arcgis export file
Function performed  download



Distribution format
Version arcgis 10.2
*Name Raster Dataset


Fields 

Details for object nosvf_tmin11 
Type Raster
Definition
Raster Data Set

Definition source
esri



Field value
 
Alias value
Data type Integer
Width 6
Field description
values are in degrees C x 100

Description source
source

Description of values
values in degrees C x100





Field count
 
Alias count
Data type floating point
Width 32
Field description
count of the number of cells with a particular value

Description source
source

Description of values
computer generated value







Overview Description
Entity and Attribute Overview
values are in degrees C x 100



Entity and Attribute Detail Citation
http://andrewsforest.oregonstate.edu/pubs/pdf/pub3117.pdf





References 

Aggregate Information
Association type  source
Initiative type  study


Aggregate resource name
Title Mapping the Thermal Climate of the H. J. Andrews Experimental
Publication date 2002-04-23 00:00:00


Responsible party
Organization's name Oregon State University
Contact's position graduate student
Individual's name Jonathan Smith
Contact's role  author


Resource location online
Locationhttp://andrewsforest.oregonstate.edu/pubs/pdf/pub3117.pdf
Function performed  download



Metadata Details 

*Metadata language English (UNITED STATES)


Scope of the data described by the metadata* dataset
Scope name* dataset


*Last update 2015-12-02


ArcGIS metadata properties
Metadata format ArcGIS 1.0
Standard or profile used to edit metadata FGDC


Created in ArcGIS for the item 2010-06-02 13:30:48
Last modified in ArcGIS for the item 2015-12-02 16:17:32


Automatic updates
Have been performed Yes
Last update 2015-12-02 16:14:07


Metadata Contacts 

Metadata contact
Individual's name Theresa Valentine
Organization's name Corvallis Forest Science Laboratory
Contact's position Spatial Information Manager
Contact's role  distributor


Contact information
Phone
Voice 541-750-7333
Fax 541-758-7760

Address
Type both
Delivery point 3200 SW Jefferson Way
City Corvallis
Administrative area Oregon
Postal code 97332
Country US
e-mail addresstvalentine@fs.fed.us or theresa.valentine@orst.edu

Hours of service
m-f 8:00am-4:00pm



Thumbnail and Enclosures 

Thumbnail
Thumbnail type  JPG

FGDC Metadata (read-only) 

Entities and Attributes 

Detailed Description
Entity Type
Entity Type Labelnosvf_tmin11
Entity Type Definition
Raster Data Set
Entity Type Definition Sourceesri

Attribute
Attribute Labelvalue
Attribute Definition
values are in degrees C x 100
Attribute Definition Sourcesource
Attribute Domain Values
Unrepresentable Domain
values in degrees C x100

Attribute
Attribute Labelcount
Attribute Definition
count of the number of cells with a particular value
Attribute Definition Sourcesource
Attribute Domain Values
Unrepresentable Domain
computer generated value

Overview Description
Entity and Attribute Overview
values are in degrees C x 100
Entity and Attribute Detail Citation
http://andrewsforest.oregonstate.edu/pubs/pdf/pub3117.pdf