Global precipitation change during the Holocene: a combination of records and simulations

doi:10.1007/s11707-022-1047-5

Front. Earth Sci.

2024, Vol. 18

Issue (1) : 112-126 https://doi.org/10.1007/s11707-022-1047-5

Global precipitation change during the Holocene: a combination of records and simulations

Wangting YE, Yu LI(

)

Key Laboratory of Western China᾽s Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Center for Hydrologic Cycle and Water Resources in Arid Region, Lanzhou University, Lanzhou 730000, China

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Abstract

Precipitation can shape our climate both in the present and the future. Even though we have made significant advances in studying the mechanisms of millennial-scale climate changes through high-resolution records, we still cannot quantitatively characterize the global spatiotemporal precipitation variations within the Holocene. Therefore, we developed a new approach to integrating data from 349 globally distributed records and climate models to reconstruct regional and global precipitation patterns over the last 12000 years. Our results reveal that precipitation reconstructions can be divided into monsoon-driven and westerly driven patterns. The results suggest that an arid climate was experienced in the late glacial and early Holocene epoch (~12−7.4 cal ka BP), attaining a middle Holocene optimum (~7.4−3.5 cal ka BP), and drier after the middle Holocene. According to our reconstructions, the global precipitation reconstruction increased from the early Holocene until 3.8 cal ka BP and then subsequently decreased. In addition, our reconstructions better reproduce the low-frequency events and extreme precipitation at the millennial scale in the hemispheres, but the performance of the reconstructions in the equatorial Pacific and the Southern Hemisphere of Africa and the Americas is controversial. The resolution of the record and the simulation capability of the climate model remain important means to improve our understanding of past climate change.

Corresponding Author(s): Yu LI

Online First Date: 08 September 2023 Issue Date: 15 July 2024

Cite this article:

Wangting YE,Yu LI. Global precipitation change during the Holocene: a combination of records and simulations[J]. Front. Earth Sci., 2024, 18(1): 112-126.

URL:

https://academic.hep.com.cn/fesci/EN/10.1007/s11707-022-1047-5
https://academic.hep.com.cn/fesci/EN/Y2024/V18/I1/112

Site name	Core name	Proxy	Latitude/(° )	Longitude/(° )	Resolution/yr	Reference
Cave of the Bells	COB-01-02	δ¹⁸O	31.75	−110.75	50	Wagner et al. (2010)
Botuver Cave	BT2	δ¹⁸O	−27.22	−49.16	100	Cruz et al. (2005); Wang et al. (2007)
Buca della Renella	RL4	δ¹⁸O	44.00	0.00	56	Drysdale et al. (2006)
Buckeye Creek Cave	BCC-002/BCC-004/BCC-006	δ¹⁸O	37.97	−80.4	15	Hardt et al. (2010); Springer et al. (2008)
Cold Air Cave	T7/T8	δ¹⁸O	−24.02	29.11	13	Holmgren et al. (2003); Repinski et al. (1999)
Cold Water Cave	CWC-1s/CWC-2ss/CWC-3L	δ¹⁸O	43.47	−91.97	17	Denniston et al. (1999a)
Dongge Cave	D4/DA	δ¹⁸O	25.28	108.08	5	Dykoski et al. (2005); Wang et al. (2005); Yuan et al. (2004)
Fort Stanton	Fort Stanton	δ¹⁸O	33.30	−105.30	33	Asmerom et al. (2010)
Gunung Buda National Park	BA04/SCH02/SSC01	δ¹⁸O	4.030	114.80	20	Partin et al. (2007)
Heshang Cave	HS-4	δ¹⁸O	30.45	110.416	8	Hu et al. (2008)
Hoti Cave	H5	δ¹⁸O	23.08	57.35	5	Neff et al. (2001)
Hulu Cave	H82/MSD/PD/YT	δ¹⁸O	32.50	119.16	2	Wang et al. (2001)
Jerusalem West Cave	AF12	δ¹⁸O	31.78	35.15	517	Frumkin et al. (1999)
Jiuxian Cave	C996-1/C996-2	δ¹⁸O	33.56	109.10	19	Cai et al. (2010)
Katerloch Cave	K1/K3	δ¹⁸O	47.08	15.55	2	Boch et al. (2009)
Liang Luar Cave	LR06-B1/LR06-B3	δ¹⁸O	−8.53	120.43	10	Griffiths et al. (2009)
Lianhua Cave	A1	δ¹⁸O	29.48	109.53	8	Cosford et al. (2009)
Lynds Cave	Lynds Cave Core 001	δ¹⁸O	−41.58	146.25	73	Xia et al. (2001)
Ma'ale Efrayim Cave	Ma'ale Efrayim Cave Core 001	δ¹⁸O	32.08	35.37	371	Vaks et al. (2003)
Moomi Cave	M1-5	δ¹⁸O	12.50	54.00	22	Shakun et al. (2007)
Mystery Cave	MC-28	δ¹⁸O	43.62	−92.30	70	Denniston et al. (1999b)
NWSI north-west of the South Island	nz-comp-001	δ¹⁸O	−42.00	172.00	36	Williams et al. (2010)
Peqiin Cave	Peqiin Cave Core 001	δ¹⁸O	32.58	35.19	469	Bar-Matthews et al. (2003)
Pink Panther Cave	PP-1	δ¹⁸O	32.083	−105.17	18	Asmerom et al. (2007)
Poleva Cave	PP10	δ¹⁸O	44.72	21.75	77	Constantin et al. (2007)
Qunf Cave	Q5	δ¹⁸O	17.17	54.30	7	Fleitmann et al. (2007)
Sanbao Cave	SB10/SB26/SB27/SB3/SB43/SB44/SB49	δ¹⁸O	31.67	110.43	13	Dong et al. (2010); Wang et al. (2008)
Sofular Cave	So-1	δ¹⁸O	41.42	31.93	7	Fleitmann et al. (2009)
Soreq Cave	Soreq Cave Core 001	δ¹⁸O	31.45	35.03	75	Kaufman et al. (2003)
Spring Valley Caverns	SVC-1/2	δ¹⁸O	43.75	−92.41	27	Denniston et al. (1999b)
Terciopelo Cave	CT-7	δ¹⁸O	10.17	−85.33	4	Lachniet et al. (2009)
Cueva del Tigre Perdido	NC-A/B	δ¹⁸O	−5.94	−77.30	23	van Breukelen et al. (2008)
Venado Cave	Venado Cave Core 001	δ¹⁸O	10.60	−84.80	15	Lachniet et al. (2004)
Xiangshui Cave	X3	δ¹⁸O	25.25	110.92	69	Cosford et al. (2008)
Yamen Cave	Y1	δ¹⁸O	25.48	107.90	9	Yang et al. (2010)
Yaoba Don Cave	YB1	δ¹⁸O	28.80	109.83	128	Cosford et al. (2008)
Aral sea		δ¹⁸O	59.70	44.98		Filippov and Riedel (2009)
Bear lake		δ¹³C, δ¹⁸O, TC, TIC, OC, CaCO₃, Ca, Mg, B, Ba, Fe, K, Li, Mn, Na, P, Sr, Ti	−111.33	42.00		Dean et al. (2006)
Chad Lake		δ¹⁸O	14.19	13.47		Bouchette et al. (2010)
Eyre Lake		δ¹⁸O	137.70	−29.07		Magee et al. (2004)
Great Salt Lake	USGS 96,95	Bulk organics, Humic acid from organic materials, Charcoal	−112.52	41.20	200	Oviatt et al. (2015)
Huguangyan Maar lake		Ti, Fe, Mn, MS., S, TOC, bio.-SiO₂	110.28	21.15		Yancheva et al. (2007)
Laguna Yanacocha		Si, S, K, Ca, Ti, Mn, Fe, Zn, Rb, Sr, Zr	−75.93	−10.56	4	Stansell et al, (2015)
Lake Chichancanab		δ¹³C, δ¹⁸O, CaCO₃,S	−88.82	19.87	22	Hodell et al. (1995)
Lake Issyk-Kul	IK97	δ¹³C, δ¹⁸O, Sr/Ca	77.25	42.46	194	Ricketts et al. (2001)
Lake Malawi	M98-1P/M98-1P	BSi, LSR, MAR, BSi MAR	33.83	−13.52	19	Johnson et al. (2002)
Lake Qinghai		brightness, redness	100.30	37.06	32	Ji et al. (2005)
Lake Tanganyika		dD, δ¹³C, TEX86	29.83	−6.08	185	Tierney et al. (2008)
Lake Titicaca	Titicaca2014dD-LT01-2B	dD	−69.16	−15.94	266	Fornace et al. (2014)
Lake Towuti	TOW9	Al, Mg, K, Ti,Fe, Cr, Co, V, U	121.52	−2.73	624	Costa et al. (2015)
Makgadikgadi Basin	Kal98	U,Th, K	24.70	−20.51		Shaw et al. (2003)
Victoria lake	LV95-1P	TEX86, Leaf Wax, dD , δ¹³C	33.20	−1.23	209	Berke et al. (2012)

Tab.1 List of data sets used in reconstruction

Fig.1 Location map of proxy precipitation data sets. Map of precipitation data sets from this study with precipitation proxies indentified by color coding.

Tab.2 Codes of 12 precipitation reconstructions

Fig.2 The Holocene precipitation reconstructions in (a) 0030NEA, (b) 0030NNAm, (c) 0030NNAf, (d) 0030SEA, (e) 0030SSAm, (f) 0030SSAf, (g) 3060NEA, (h) 3060NNAm, (i) 6090NEA, (j) 6090NNAm, (k) 6090SSAA, and (l) GLP (normalization), and the horizontal axis representing the calendar year against the annual precipitation.

Tab.3 Statistical description of data

Fig.3 Comparison of Holocene precipitation reconstructions and paleoclimate records. (a) to (d) Zonal mean precipitation reconstructions for monsoon latitude bands from this study are compared to the speleothem (Dykoski et al., 2005; Partin et al., 2007; Duan et al., 2014). Terrigenous (deMenocal et al., 2000) and Ti data (Haug et al., 2001), which are proxies for precipitation and local temperature; EASM, East Asian Summer Monsoon; AISM, Australian-Indonesian Summer Monsoon. ASM, African Summer Monsoon. (e) to (g) Zonal mean precipitation reconstructions for middle- and high-latitude bands from this study are compared to ice cores (Grootes and Stuiver, 1997), interpreted from pollen data moisture scales (Chen et al., 2008), sediment isotopes (Heikkilä et al., 2010) and sea ice cover (Stein et al., 2017a; Stein et al., 2017b). (h) to (i) Zonal mean precipitation reconstructions for Southern Hemisphere latitude bands from this study are compared to speleothem (Hardy et al., 2003; Holmgren et al., 2003) and lake CaCO₃ contents (Fritz et al., 2006).

Fig.4 Global precipitation reconstruction stack and δ¹⁸O at GISDP2 plotted against calendar year.

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