TY - JOUR
T1 - How oceanic oscillation drives soil moisture variations over mainland Australia
T2 - An analysis of 32 years of satellite observations*
AU - Bauer-Marschallinger, Bernhard
AU - Dorigo, Wouter A.
AU - Wagner, Wolfgang
AU - Van Dijk, Albert I.J.M.
PY - 2013/12
Y1 - 2013/12
N2 - Australia is frequently subject to droughts and floods. Its hydrology is strongly connected to oceanic and atmospheric oscillations (climate modes) such as the El Niño-Southern Oscillation (ENSO), Indian Ocean dipole (IOD), and southern annular mode (SAM). A global 32-yr dataset of remotely sensed surface soil moisture (SSM) was used to examine hydrological variations in mainland Australia for the period 1978-2010. Complex empirical orthogonal function (CEOF) analysis was applied to extract independent signals and to investigate their relationships to climate modes. The annual cycle signal represented 46.3% of the total variance and a low but highly significant connection with SAM was found. Two multiannual signals with a lesser share in total variance (6.3%and 4.2%) were identified. The first one had an unstable period of 2-5 yr and reflected an east-west pattern that can be associated with ENSO and SAMbut not with IOD. The second one, a 1-to 5-yr oscillation, formed a dipole pattern between the west and north and can be linked to ENSO and IOD. As expected, relationships with ENSO were found throughout the year and are especially strong during southern spring and summer in the east and north. Somewhat unexpectedly, SAM impacts strongest in the north and east during summer and is proposed as the key driver of the annual SSM signal. The IOD explains SSMvariations in the north, east, and southeast during spring and also in the west during winter.
AB - Australia is frequently subject to droughts and floods. Its hydrology is strongly connected to oceanic and atmospheric oscillations (climate modes) such as the El Niño-Southern Oscillation (ENSO), Indian Ocean dipole (IOD), and southern annular mode (SAM). A global 32-yr dataset of remotely sensed surface soil moisture (SSM) was used to examine hydrological variations in mainland Australia for the period 1978-2010. Complex empirical orthogonal function (CEOF) analysis was applied to extract independent signals and to investigate their relationships to climate modes. The annual cycle signal represented 46.3% of the total variance and a low but highly significant connection with SAM was found. Two multiannual signals with a lesser share in total variance (6.3%and 4.2%) were identified. The first one had an unstable period of 2-5 yr and reflected an east-west pattern that can be associated with ENSO and SAMbut not with IOD. The second one, a 1-to 5-yr oscillation, formed a dipole pattern between the west and north and can be linked to ENSO and IOD. As expected, relationships with ENSO were found throughout the year and are especially strong during southern spring and summer in the east and north. Somewhat unexpectedly, SAM impacts strongest in the north and east during summer and is proposed as the key driver of the annual SSM signal. The IOD explains SSMvariations in the north, east, and southeast during spring and also in the west during winter.
KW - Australia
KW - Hydrology
KW - Oceanic variability
KW - Remote sensing
KW - Satellite observations
KW - Soil moisture
UR - http://www.scopus.com/inward/record.url?scp=84890185681&partnerID=8YFLogxK
U2 - 10.1175/JCLI-D-13-00149.1
DO - 10.1175/JCLI-D-13-00149.1
M3 - Article
SN - 0894-8755
VL - 26
SP - 10159
EP - 10173
JO - Journal of Climate
JF - Journal of Climate
IS - 24
ER -