In:
Geophysical Research Letters, American Geophysical Union (AGU), Vol. 46, No. 15 ( 2019-08-16), p. 9163-9173
Kurzfassung:
A regression model and ensembles from a seasonal prediction model initialized on 1 December are used to predict springtime dustiness About 71% of the variances of dustiness over the Great Plains and 63% over the southwestern United States from 2004 to 2016 are captured Springtime climatic factors play a more important role in variations in spring dustiness than wintertime factors
Materialart:
Online-Ressource
ISSN:
0094-8276
,
1944-8007
DOI:
10.1029/2019GL083703
Sprache:
Englisch
Verlag:
American Geophysical Union (AGU)
Publikationsdatum:
2019
ZDB Id:
2021599-X
ZDB Id:
7403-2
SSG:
16,13