• SNAP GeoNetwork
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Historical and Projected Daily Quantile Mapped Near Surface Wind Velocity - 2.5 degrees CMIP5/AR5

This data includes quantile-mapped historical and projected model runs of AR5 daily mean near surface wind velocity (m/s) for each day of every year from 1958 - 2100 at 2.5 x 2.5 degree spatial resolution across 3 AR5 models. They are 365 multi-band geotiff files, one file per year, each band representing one day of the year, with no leap years.

Simple

Date (Publication)
2015-05-15
Credit
Matthew Leonawicz
Credit
Angelica Floyd
Credit
Tom Kurkowski
Credit
Michael Lindgren
Credit
John Walsh
Credit
Scott Rupp
Status
On going
Point of contact
  Scenarios Network for Alaska and Arctic Planning
Maintenance and update frequency
As needed
Theme
  • wind
  • historical
  • projected
  • modeled
Use constraints
License
Other constraints
https://creativecommons.org/licenses/by/4.0/
Spatial representation type
Grid
Distance
2.5  degree
Metadata language
eng
Character set
UTF8
Topic category
  • Climatology, meteorology, atmosphere
Begin date
1958-01-01
End date
2100-12-31
N
S
E
W
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Supplemental Information

Variable info

uas: eastward component of wind, this value is positive if the wind is flowing from the west to the east

vas: northern component of wind, this value is positive if the wind is flowing from the south to the north

To combine the wind vectors, use the Pythagorean theorem. a^2 + b^2 = c^2

Specifications

Models used:

AR5 GCMs (historical runs, 1850-2005)

GFDL-CM3

IPSL-CM5A-LR

MRI-CGCM

RCPs (projected runs, 2006-2100)

6.0

8.5

Quantile mapping methodology

GCMs were quantile-mapped with respect to 1958-2001 ERA-40 reanalysis data by various methods as documented in:

Gudmundsson, L., Bremnes, J. B., Haugen, J. E., and Engen Skaugen, T.: Technical Note: Downscaling RCM precipitation to the station scale using quantile mapping – a comparison of methods, Hydrol. Earth Syst. Sci. Discuss., 9, 6185-6201, doi:10.5194/hessd-9-6185-2012, 2012.

A similar comparison of methods was made and the Local Linear Least Squares Regression quantile mapping method, available in the R package 'qmap', was chosen as the most appropriate method. Deltas resulting from the mapping were then applied to 2002-2100 GCM output to complete the 1958-2100 quantile-mapped GCM products.

http://www.ecmwf.int/products/data/archive/descriptions/e4/index.html

http://cran.r-project.org/web/packages/qmap/index.html

Model selection methodology

Per _Walsh et al. 2008. Global Climate Model Performance over Alaska and Greenland. Journal of Climate. v. 21 pp. 6156-6174._

Model selection used in AR5 products is more rigorous, and a publication is in preparation (Leonawicz M. and Walsh J. 20xx).

Unique resource identifier
EPSG:4326
Number of dimensions
3
Dimension name
Time
Dimension size
365
Resolution
1  day
Dimension name
Row
Dimension size
73
Resolution
2.5  degree
Dimension name
Column
Dimension size
144
Resolution
2.5  degree
Cell geometry
Area
Distribution format
  • GeoTIFF ( 1.0 )

OnLine resource
ckan.snap.uaf.edu/dataset/historical-and-projected-daily-quantile-mapped-near-surface-wind-velocity-2-5-degrees-cmip5-ar ( WWW:LINK-1.0-http--link )
Hierarchy level
Dataset
Statement
SNAP downscaled data products are value added products that build off of other datasets that have been accepted by the scientific community as some of the highest quality climate data available. Please see www.snap.uaf.edu to explore how our data is produced.
File identifier
61aa24e9-87f9-4252-a751-672e7a268eed XML
Metadata language
English
Character set
UTF8
Date stamp
2022-08-18T10:18:41
Metadata standard name
ISO 19115:2003/19139
Metadata standard version
1.0
Point of contact
  Scenarios Network for Alaska and Arctic Planning
 
 

Overviews

overview

Spatial extent

N
S
E
W
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Keywords

historical modeled projected wind

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