FN Archimer Export Format
PT J
TI Reply to comment by Rashid et al. on "Asynchronous variation in the East Asian winter monsoon during the Holocene"
BT 
AF JIN, Liya
   ZHANG, Xiaojian
   LEDUC, Guillaume
AS 1:1;2:1;3:2;
FF 1:;2:;3:;
C1 Lanzhou Univ, Minist Educ, Coll Earth & Environm Sci, Key Lab Western Chinas Environm Syst, Lanzhou 730000, Peoples R China.
   Aix Marseille Univ, CNRS, Europole Mediterraneen Arbois, CEREGE UM34, Aix En Provence, France.
C2 UNIV LANZHOU, CHINA
   UNIV AIX MARSEILLE, FRANCE
IF 3.454
TC 0
UR https://archimer.ifremer.fr/doc/00421/53266/54672.pdf
LA English
DT Article
CR IMAGES V LEG 1-MD114
   IMAGES V LEG 4-MD114
   OSIRIS 3 - MD 13
BO Marion Dufresne
DE ;reply
AB Rashid et al. (2016) questioned the use of the Mg-/Ca-based sea surface temperature (SST) data from the subpolar North Atlantic Ocean as well as the alkenone-based SST data from the western tropical Indian Ocean we used to reflect the winter SSTs or regional changes in the Holocene SSTs. We first would like to reemphasize that the main message we wanted to convey in our article is that the East Asian winter monsoon (EAWM) strength decreased and then increased again during the Holocene but with a substantial lag in southern China as compared to northern China. We, of course, wanted to back up our model results with published SST data that may have detected such an asynchronous variation in the EAWM. For convenience, we used a series of proxy records extracted from the extended Global database for alkenone-derived HOlocene Sea-surface Temperature (GHOST) database that were initially intended to provide a template of Holocene SST trends for model/data comparison purpose (). Rashid et al. (2016) questioned our model/data comparison exercise, arguing that the data we present in Zhang et al. (2015a) cannot be used to track leads and lags in winter SSTs in the North Atlantic and northern Indian Ocean. Below we address point by point the issues raised by Rashid et al. (2016) and thank the authors for giving us the opportunity to sharpen our model/data comparison analysis. 
PY 2016
PD FEB
SO Journal Of Geophysical Research-atmospheres
SN 2169-897X
PU Amer Geophysical Union
VL 121
IS 4
UT 000372977900015
BP 1615
EP 1620
DI 10.1002/2015JD024270
ID 53266
ER

EF