Kathleen Rose Johnson

Kathleen Rose Johnson

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Kathleen Rose Johnson

Department of Earth System Science, University of California, Irvine, USA

Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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7 November 2008 in Science
Verified
Journal Article
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PZPingzhong Zhang
Pingzhong Zhang
HCHai Cheng
Hai Cheng
RER. Lawrence Edwards
R. Lawrence Edwards
Fahu ChenFahu Chen
Fahu Chen
YWYongjin Wang
Yongjin Wang
KJKathleen R. Johnson
Kathleen R. Johnson
A record from Wanxiang Cave, China, characterizes Asian Monsoon (AM) history over the past 1810 years. The summer monsoon correlates with solar variability, Northern Hemisphere and Chinese temperature, Alpine glacial retreat, and Chinese cultural changes. It was generally strong during Europe's Medieval Warm Period and weak during Europe's Little Ice Age, as well as during the final decades of the Tang, Yuan, and Ming Dynasties, all times that were characterized by popular unrest. It was strong during the first several decades of the Northern Song Dynasty, a period of increased rice cultivation and dramatic population increase. The sign of the correlation between the AM and temperature switches around 1960, suggesting that anthropogenic forcing superseded natural forcing as the major driver of AM changes in the late 20th century.

1 February 2008 in Earth and Planetary Science Letters
Verified
Journal Article
Open access
CHChaoyong Hu
Chaoyong Hu
GHGideon M. Henderson
Gideon M. Henderson
JHJunhua Huang
Junhua Huang
SXShucheng Xie
Shucheng Xie
YSYing Sun
Ying Sun
KJKathleen R. Johnson
Kathleen R. Johnson
A reconstruction of Holocene rainfall is presented for southwest China - an area prone to drought and flooding due to variability in the East Asian monsoon. The reconstruction is derived by comparing a new high-resolution stalagmite δ18O record with an existing record from the same moisture transport pathway. The new record is from Heshang Cave (30°27′N, 110°25′E; 294 m) and shows no sign of kinetic or evaporative effects so can be reliably interpreted as a record of local rainfall composition and temperature. Heshang lies 600 km downwind from Dongge Cave which has a published high-resolution δ18O record (Wang, Y.J., Cheng, H., Edwards, R.L., He, Y.Q., Kong, X.G., An, Z.S., Wu, J.Y., Kelly, M.J., Dykoski, C.A., Li, X.D., 2005. The Holocene Asian monsoon: links to solar changes and North Atlantic climate. Science 308, 854-857). By differencing co-eval δ18O values for the two caves, secondary controls on δ18O (e.g. moisture source, moisture transport, non-local rainfall, temperature) are circumvented and the resulting Δδ18O signal is controlled directly by the amount of rain falling between the two sites. This is confirmed by comparison with rainfall data from the instrumental record, which also allows a calibration of the Δδ18O proxy. The calibrated Δδ18O record provides a quantitative history of rainfall in southwest China which demonstrates that rainfall was 8% higher than today during the Holocene climatic optimum (≈ 6 ka), but only 3% higher during the early Holocene. Significant multi-centennial variability also occurred, with notable dry periods at 8.2 ka, 4.8-4.1 ka, 3.7-3.1 ka, 1.4-1.0 ka and during the Little Ice Age. This Holocene rainfall record provides a good target with which to test climate models. The approach used here, of combining stalagmite records from more than one location, will also allow quantification of rainfall patterns for past times in other regions. © 2008

15 April 2006 in Earth and Planetary Science Letters
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Journal Article
Open access
KJK Johnson
K Johnson
CHC Hu
C Hu
NBN Belshaw
N Belshaw
GHG Henderson
G Henderson
We report the presence of clear annual cycles in trace-element (Mg/Ca, Sr/Ca, Ba/Ca, and U/Ca) and stable-isotope (δ18O and δ13C) composition in an annually banded stalagmite from Heshang Cave, Hubei Province, China (30.44°N, 110.42°E). Through a combination of micromilling and in situ analysis (LA-MC-CPMS), we measured geochemical variations across 16 annual growth bands, to assess their potential as seasonal resolution paleomonsoon proxies. To facilitate comparison with modern climatic and environmental data we created composite annual cycles for each proxy by stacking 6 well-defined years. Speleothem δ18O variations (- 10.8‰ to - 8.5‰) are controlled by seasonal variations in temperature and drip-water δ18O which lead to maximum values during May, around the time of summer monsoon onset. This provides a chronological marker which can be used to constrain the timing of the other geochemical cycles. The composite cycles reveal a strong positive correlation between Mg/Ca, Sr/Ca, Ba/Ca, and δ13C values in the micromilled section (R2 = 0.65-0.98), with minimum values occurring around May. Maximum U/Ca values occur at the same time. We present simple models which show that these correlations, as well as the observed ranges of Mg/Ca (14.1 to 22.4 mmol/mol), Sr/Ca (0.2 to 0.4 mmol/mol), and δ13C (- 12.5 ‰ to - 10.7-), may be fully explained by progressive CO2 degassing and calcite precipitation from an initially saturated solution. Using realistic initial conditions for Heshang Cave (T = 18 °C, Mg/Casolution = 0.84 mol/mol, Sr/Casolution = 0.69 mmol/mol, δ13CTDIC = - 16.75‰), we find that the observed relationships can be produced by using DMg = 0.016 and DSr = 0.30, within the range of expected values. The model suggests that the fraction of Ca removed from the solution ranges from 0 to 30% to produce the observed seasonal cycles. This variation may be due to two related processes which occur during drier periods: (1) increased prior precipitation of calcite in the epikarst or on the cave ceiling, and/or (2) a greater degree of CO2 degassing and calcite precipitation on stalagmite surfaces when drip-rates are lower. Both mechanisms would have the effect of enriching speleothem Mg/Ca, Sr/Ca, Ba/Ca, and δ13C values during drier periods. Past variations in Heshang carbonate chemistry may therefore be useful as seasonal resolution proxies for past rainfall. © 2006 Elsevier B.V. All rights reserved

1 April 2004 in Earth and Planetary Science Letters
Verified
Journal Article
Open access
KJKathleen R. Johnson
Kathleen R. Johnson
BIB.Lynn Ingram
B.Lynn Ingram
The stable isotopic composition of materials such as glacial ice, tree rings, lake sediments, and speleothems from low-to-mid latitudes contains information about past changes in temperature ( T ) and precipitation amount ( P ). However, the transfer functions which link δ 18 O p to changes in T or P , dδ 18 O p /d T and dδ 18 O p /d P , can exhibit significant temporal and spatial variability in these regions. In areas affected by the Southeast Asian monsoon, past variations in δ 18 O and δD of precipitation have been attributed to variations in monsoon intensity, storm tracks, and/or variations in temperature. Proper interpretation of past δ 18 O p variations here requires an understanding of these complicated stable isotope systematics. Since temperature and precipitation are positively correlated in China and have opposite effects on δ 18 O p , it is necessary to determine which of these effects is dominant for a specific region in order to perform even qualitative paleoclimate reconstructions. Here, we evaluate the value of the transfer functions in modern precipitation to more accurately interpret the paleorecord. The strength of these transfer functions in China is investigated using multiple regression analysis of data from 10 sites within the Global Network for Isotopes in Precipitation (GNIP). δ 18 O p is modeled as a function of both temperature and precipitation. The magnitude and signs of the transfer functions at any given site are closely related to the degree of summer monsoon influence. δ 18 O p values at sites with intense summer monsoon precipitation are more dependent on the amount of precipitation than on temperature, and therefore exhibit more negative values in the summer. In contrast, δ 18 O p values at sites that are unaffected by summer monsoon precipitation exhibit strong relationships between δ 18 O p and temperature. The sites that are near the northern limit of the summer monsoon exhibit dependence on both temperature and amount of precipitation. Comparison with simple linear models (δ 18 O p as a function of T or P ) and a geographic model (δ 18 O p as a function of latitude and altitude) shows that the multiple regression model is more successful at reproducing δ 18 O p values at sites that are strongly influenced by the summer monsoon. The fact that the transfer function values are highly spatially variable and closely related to the degree of summer monsoon influence suggests that these values may also vary temporally. Since the Southeast Asian monsoon intensity is known to exhibit large variations on a number of timescales (annual to glacial–interglacial), and the magnitude and sign of the transfer functions is related to monsoon intensity, we suggest that as monsoon intensity changes, the magnitude and possibly even the sign of the transfer functions may vary. Therefore, quantitative paleoclimate reconstructions based on δ 18 O p variations may not be valid.

13 January 2013 in Nature Geoscience
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YLY-H. Liu
Y-H. Liu
GHG. M. Henderson
G. M. Henderson
CHC-Y. Hu
C-Y. Hu
AMA. J. Mason
A. J. Mason
NCNorman Charnley
Norman Charnley
SXS-C. Xie
S-C. Xie

25 May 2015 in Journal of Geophysical Research: Atmospheres
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ABAlexander J. Baker
Alexander J. Baker
HSHarald Sodemann
Harald Sodemann
JBJames U. L. Baldini
James U. L. Baldini
SBSebastian F. M. Breitenbach
Sebastian F. M. Breitenbach
KJKathleen R. Johnson
Kathleen R. Johnson
PZPingzhong Zhang
Pingzhong Zhang
East Asian summer monsoon (EASM) rainfall impacts the world's most populous regions. Accurate EASM rainfall prediction necessitates robust paleoclimate reconstructions from proxy data and quantitative linkage to modern climatic conditions. Many precisely dated oxygen isotope records from Chinese stalagmites have been interpreted as directly reflecting past EASM rainfall amount variability, but recent research suggests that such records instead integrate multiple hydroclimatic processes. Using a Lagrangian precipitation moisture source diagnostic, we demonstrate that EASM rainfall is primarily derived from the Indian Ocean. Conversely, Pacific Ocean moisture export peaks during winter, and the moisture uptake area does not differ significantly between summer and winter and is thus a minor contributor to monsoonal precipitation. Our results are substantiated by an accurate reproduction of summer and winter spatial rainfall distributions across China. We also correlate modern EASM rainfall oxygen isotope ratios with instrumental rainfall amount and our moisture source data. This analysis reveals that the strength of the source effect is geographically variable, and differences in atmospheric moisture transport may significantly impact the isotopic signature of EASM rainfall at the Hulu, Dongge, and Wanxiang Cave sites. These results improve our ability to isolate the rainfall amount signal in paleomonsoon reconstructions and indicate that precipitation across central and eastern China will directly respond to variability in Indian Ocean moisture supply.