Arctic Land-Surface Precipitation:
Gridded Monthly and Annual Climatologies
(Version 1.01)
interpolated and documented by
Cort J. Willmott and Michael A. Rawlins
(with support from NSF Project 9524740 and
NASA's Seasonal to Interannual ESIP)
For additional information concerning this archive,
please contact us at:
Center for Climatic Research
Department of Geography
University of Delaware
Newark, DE 19716
(302) 831-2294
or
rawlins@udel.edu
Archive (Version 1.01) created August 20, 1999
STATION DATA SOURCE:
Climatic means of monthly- and annual-total precipitation,
calculated for 6054 independent land-surface weather stations
located north of 43 N (Willmott and Rawlins, 1999), were used
to produce this gridded archive. Some 2335 station records were
drawn from version 2 of the Global Historical Climatology Network
(Peterson and Vose, 1998), while 3697 station records were
obtained from the Atmospheric Environment Service/Environment
Canada. Twenty-two more Russian station records were acquired
through collaboration with the State Hydrometeorological
Institute, St. Petersburg, Russia. Work on Willmott and
Rawlins's (1999) station climatology is ongoing, and it is
unavailable for distribution.
SPATIAL INTERPOLATION:
Traditional interpolation was accomplished with the
spherical version of Shepard's algorithm, which employs an
enhanced distance-weighting method (Shepard, 1968; Willmott
et al., 1985). Station precipitation values were
interpolated to a 0.5 degree by 0.5 degree of
latitude/longitude grid, where the grid nodes are centered
on 0.25 degree. The number of nearby stations that
influence a grid-node estimate was increased to an average
of 20, from an average of 7 in earlier applications. This
resulted in smaller cross-validation errors (see below) and
visually more realistic precipitation fields. A more robust
neighbor finding algorithm, based on spherical distance,
also was used.
SPATIAL CROSS VALIDATION:
To indicate (roughly) the spatial interpolation errors,
station-by-station cross validation was employed (Willmott
and Matsuura, 1995). One station was removed at a time, and
precipitation was then interpolated to the removed station
location from the surrounding nearby stations. The
difference between the real station value and the
interpolated value is a local estimate of interpolation
error. After each station cross validation was made, the
removed station was put back into the network. To reduce
network biases on cross-validation results, absolute values
of the errors at the stations were interpolated to the same
spatial resolution as the gridded precipitation field.
ARCHIVE STRUCTURE:
|
precip.clim: |
Monthly and annual precipitation totals interpolated to a
0.5 by 0.5 degree grid resolution. The format of each
record is:
|
| Field |
Columns |
Variable |
Fortran Format
|
| 1 |
1 - 8 |
Longitude (decimal degrees) |
F8.3 |
| 2 |
9 - 16 |
Latitude (decimal degrees) |
F8.3 |
| 3-14 |
17 - 100 |
Monthly Precipitation (mm, Jan - Dec) |
12F7.1 |
| 15 |
101 - 107 |
Annual Precipitation (mm) |
F7.1 |
|
pprecip.cve.clim: |
Cross-validation errors associated with monthly and annual
precipitation interpolated to a 0.5 by 0.5 degree grid
resolution. The format of each record is:
|
| Field |
Columns |
Variable |
Fortran Format
|
| 1 |
1 - 8 |
Longitude (decimal degrees) |
F8.3 |
| 2 |
9 - 16 |
Latitude (decimal degrees) |
F8.3 |
| 3-14 |
17 - 100 |
Cross-validation errors for Monthly Precipitation (mm, Jan - Dec) |
12F7.1 |
| 15 |
101 - 107 |
Cross-validation errors for Annual Precipitation (mm) |
F7.1 |
SELECTED REFERENCES:
Shepard, D. (1968). A two-dimensional Interpolation function for
irregularly-spaced Data. Proceedings, 1968 ACM National
Conference, 517-523.
Willmott, C. J., C. M. Rowe and W. D. Philpot (1985).
Small-Scale Climate Maps: A Sensitivity Analysis of Some
Common Assumptions Associated with Grid-point Interpolation
and Contouring. . American Cartographer, 12, 5-16.
Willmott, C. J. and M. A. Rawlins (1999). Arctic Monthly
Precipitation: Land-Surface Station Climatology Archive
(version. 1.01). Newark, Delaware: . Center for Climatic
Research, Department of Geography, University of Delaware
(in preparation).