Biblio

Spatio-temporal interpolation of daily temperatures for global land areas at 1 km resolution

TitleSpatio-temporal interpolation of daily temperatures for global land areas at 1 km resolution
Publication TypeJournal Article
Year of Publication2014
AuthorsKilibarda M, Hengl T, Heuvelink GBM, Gräler B, Pebesma E, Perčec Tadić M, Bajat B
JournalJournal of Geophysical Research: Atmospheres
Paginationn/a–n/a
ISSN2169-8996
Keywordsdaily air temperature, MODIS LST, spatio-temporal interpolation, spatio-temporal kriging
Abstract

Combined GSOD and ECA&D daily meteorological data sets (around 9000 stations) were used to build spatio-temporal geostatistical models and predict daily air temperature at ground resolution of 1 km for the global land mass. Predictions in space and time were made for the mean, maximum and minimum temperature using spatio-temporal regression-kriging with a time series of MODIS 8 day images, topographic layers (DEM and TWI) and a geometric temperature trend as covariates. The accuracy of predicting daily temperatures was assessed using leave-one-out cross-validation. To account for geographical point clustering of station data and get a more representative cross-validation accuracy, predicted values were aggregated to blocks of land of size 500×500 km. Results show that the average accuracy for predicting mean, maximum and minimum daily temperatures is RMSE = ±2 °C for areas densely covered with stations, and between ±2 °C and ±4 °C for areas with lower station density. The lowest prediction accuracy was observed at high altitudes (>1000 m) and in Antarctica with an RMSE around 6 °C. The model and predictions were built for the year 2011 only, but the same methodology could be extended for the whole range of the MODIS LST images (2001–today) i.e.to produce global archives of daily temperatures (a next-generation WorldClim.org repository) and to feed various global environmental models.

Notes

Auxiliary data sets available here. Dowload grids here.

URLhttp://dx.doi.org/10.1002/2013JD020803
DOI10.1002/2013JD020803
Refereed DesignationRefereed

Event Calendar

S M T W T F S
 
 
 
 
 
 
1
 
2
 
3
 
4
 
5
 
6
 
7
 
8
 
9
 
10
 
11
 
12
 
13
 
14
 
15
 
16
 
17
 
18
 
19
 
20
 
21
 
22
 
23
 
24
 
25
 
26
 
27
 
28
 
29
 
30
 
31
 
 
 
 
 
 

Meteo package

Recent comments

No comments available.