an analysis of surface temperature trends and variability along the andes

1
This study investigated the spatiotemporal trends and variability in surface temperature along the Andes using 859 stations in Ecuador, Peru, and Chile. Glacier mass balance in the region is directly affected by higher temperature, and as regional temperature has been increasing, glacier retreat has accelerated. Vuille and Bradley (2000) first reported a general trend toward higher temperatures along the Andes, and highlighted the role of El Niño during extreme warm years. Here we analyze what fraction of the overall temperature trend is attributed to natural variability of climate modes such as the El Niño-Southern Oscillation, versus anthropogenic forcing due to emissions of greenhouse gases. References Falvey, M., Garreaud, R., 2009. Regional cooling in a warming world: Recent temperature trends in the southeast Pacific and along the west coast of subtropical South America (1979- 2006). J. Geophys. Res., 114, D04102, doi:10.1029/2008JD010519, 2009. Vuille, M., Bradley, R.S., 2000. Mean annual temperature trends and their vertical structure in the tropical Andes. Geophys. Res. Lett. 27, 38853888. Acknowledgements We would like to thank Rene Garreaud, Bolivar Caceres, and Waldo Lavado for providing the temperature data. An Analysis of Surface Temperature Trends and Variability Along the Andes Eric Franquist & Mathias Vuille University at Albany SUNY, Albany, NY USA [email protected] [email protected] INTRODUCTION -85 -80 -75 -70 -65 0 -10 -20 -30 -40 -50 1961-1990 Nino 3.4 Correlation PDO Correlation SAM Correlation < 0.0 0.0 - 0.1 0.1 - 0.2 0.2 - 0.3 0.3 - 0.4 0.4 - 0.5 > 0.5 -85 -80 -75 -70 -65 0 -10 -20 -30 -40 -50 1971-2000 Nino 3.4 Correlation PDO Correlation SAM Correlation < 0.0 0.0 - 0.1 0.1 - 0.2 0.2 - 0.3 0.3 - 0.4 0.4 - 0.5 > 0.5 -85 -80 -75 -70 -65 0 -10 -20 -30 -40 -50 1981-2010 Nino 3.4 Correlation PDO Correlation SAM Correlation < 0.0 0.0 - 0.1 0.1 - 0.2 0.2 - 0.3 0.3 - 0.4 0.4 - 0.5 > 0.5 1961-1990 -0.3 - -0.2 -0.2 - -0.1 -0.1 - 0 0 - 0.1 0.1 - 0.2 0.2 - 0.3 > 0.3 -80 -75 -70 -65 0 -10 -20 -30 -40 -50 Temperature Trend (K/decade) Temperature trend (K/decade) attributed to Nino 3.4 Temperature trend (K/decade) attributed to PDO Temperature trend (K/decade) attributed to SAM < -0.3 -85 1971-2000 -0.3 - -0.2 -0.2 - -0.1 -0.1 - 0 0 - 0.1 0.1 - 0.2 0.2 - 0.3 > 0.3 -80 -75 -70 -65 0 -10 -20 -30 -40 -50 Temperature Trend(K/decade) Temperature trend (K/decade) attributed to Nino 3.4 Temperature trend (K/decade) attributed to PDO Temperature trend (K/decade) attributed to SAM < -0.3 -85 1981-2010 -0.3 - -0.2 -0.2 - -0.1 -0.1 - 0 0 - 0.1 0.1 - 0.2 0.2 - 0.3 > 0.3 -80 -75 -70 -65 0 -10 -20 -30 -40 -50 Temperature Trend(K/decade) Temperature trend (K/decade) attributed to Nino 3.4 Temperature trend (K/decade) attributed to PDO Temperature trend (K/decade) attributed to SAM < -0.3 -85 Fig. 2 Frequency histograms of temperature trends using stations with 80% complete data per time period. Temperature trend is in °C/decade Fig. 4 Vertical profiles of temperature trends in (a) southern, (b) central, and (c) northern Chile. The upper portion of each graph (white background) represents the atmosphere and the lower (blue background) portion represents the ocean. The solid orange lines are radiosonde derived trends at 100 m intervals, the lighter shaded region indicating the 90% confidence interval (Falvey and Garreaud, 2009). Fig. 1 Area averaged time series of first difference annual temperatures for 2°N-24°S. Vertical bars extend two standard errors of the mean on either side of the annual average. Fig. 5 Correlations between monthly temperature anomalies and monthly climate mode anomalies. Stations were only included if they were at least 80% complete per time period. Fig. 6 Temperature trend for each station is depicted on far left, followed by temperature trend attributed to Niño3.4, PDO, and SAM. Stations were only included if they were at least 80% complete per time period. Fig. 3 10°x10° area-averaged temperature trends, x-axis is temperature trend in °C/decade, y-axis is latitude. Summary Temperatures along the Andes have warmed (Fig. 1), but the warming has slowed down as compared to previous decades (Fig. 2). A cooling trend can be observed close to the sea level along the Pacific coast (Fig. 3), consistent with previous reports from Chile (Fig. 4). Interannual variability of surface air temperature is driven by natural modes of climate variability (Fig. 5), but these modes can only explain a small fraction of the observed warming (Fig. 6).

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Page 1: An analysis of surface temperature trends and variability along the Andes

This study investigated the spatiotemporal trends and variability in surface temperature along the Andes using 859 stations in

Ecuador, Peru, and Chile. Glacier mass balance in the region is directly affected by higher temperature, and as regional

temperature has been increasing, glacier retreat has accelerated. Vuille and Bradley (2000) first reported a general trend toward

higher temperatures along the Andes, and highlighted the role of El Niño during extreme warm years. Here we analyze what

fraction of the overall temperature trend is attributed to natural variability of climate modes such as the El Niño-Southern

Oscillation, versus anthropogenic forcing due to emissions of greenhouse gases.

References Falvey, M., Garreaud, R., 2009. Regional cooling in a warming

world: Recent temperature trends in the southeast Pacific

and along the west coast of subtropical South America (1979-

2006). J. Geophys. Res., 114, D04102,

doi:10.1029/2008JD010519, 2009.

Vuille, M., Bradley, R.S., 2000. Mean annual temperature

trends and their vertical structure in the tropical Andes.

Geophys. Res. Lett. 27, 3885–3888.

Acknowledgements We would like to thank Rene Garreaud, Bolivar Caceres, and

Waldo Lavado for providing the temperature data.

An Analysis of Surface Temperature Trends and Variability Along the Andes

Eric Franquist & Mathias Vuille – University at Albany – SUNY, Albany, NY USA

[email protected][email protected]

INTRODUCTION

-- 8 5 -- 8 0 -- 7 5 -- 7 0 -- 6 5

0

-- 1 0

-- 2 0

-- 3 0

-- 4 0

-- 5 0

1961-1990

Nino 3.4 Correlation PDO Correlation SAM Correlation

< 0.0

0.0 - 0.1

0.1 - 0.2

0.2 - 0.3

0.3 - 0.4

0.4 - 0.5

> 0.5

-- 8 5 -- 8 0 -- 7 5 -- 7 0 -- 6 5

0

-- 1 0

-- 2 0

-- 3 0

-- 4 0

-- 5 0

1971-2000

Nino 3.4 Correlation PDO Correlation SAM Correlation

< 0.0

0.0 - 0.1

0.1 - 0.2

0.2 - 0.3

0.3 - 0.4

0.4 - 0.5

> 0.5

-- 8 5 -- 8 0 -- 7 5 -- 7 0 -- 6 5

0

-- 1 0

-- 2 0

-- 3 0

-- 4 0

-- 5 0

1981-2010

Nino 3.4 Correlation PDO Correlation SAM Correlation

< 0.0

0.0 - 0.1

0.1 - 0.2

0.2 - 0.3

0.3 - 0.4

0.4 - 0.5

> 0.5

1961-1990

-0.3 - -0.2

-0.2 - -0.1

-0.1 - 0

0 - 0.1

0.1 - 0.2

0.2 - 0.3

>0.3

-- 8 0 -- 7 5 -- 7 0 -- 6 5

0

-- 1 0

-- 2 0

-- 3 0

-- 4 0

-- 5 0

TemperatureTrend(K/decade)

Temperature trend(K/decade) attributedto Nino 3.4

Temperature trend(K/decade) attributedto PDO

Temperature trend(K/decade) attributedto SAM

< -0.3

-- 8 5

1971-2000

-0.3 - -0.2

-0.2 - -0.1

-0.1 - 0

0 - 0.1

0.1 - 0.2

0.2 - 0.3

>0.3

-- 8 0 -- 7 5 -- 7 0 -- 6 5

0

-- 1 0

-- 2 0

-- 3 0

-- 4 0

-- 5 0

TemperatureTrend(K/decade)

Temperature trend(K/decade) attributedto Nino 3.4

Temperature trend(K/decade) attributedto PDO

Temperature trend(K/decade) attributedto SAM

< -0.3

-- 8 5

1981-2010

-0.3 - -0.2

-0.2 - -0.1

-0.1 - 0

0 - 0.1

0.1 - 0.2

0.2 - 0.3

>0.3

-- 8 0 -- 7 5 -- 7 0 -- 6 5

0

-- 1 0

-- 2 0

-- 3 0

-- 4 0

-- 5 0

TemperatureTrend(K/decade)

Temperature trend(K/decade) attributedto Nino 3.4

Temperature trend(K/decade) attributedto PDO

Temperature trend(K/decade) attributedto SAM

< -0.3

-- 8 5

Fig. 2 Frequency histograms of temperature

trends using stations with 80% complete data

per time period. Temperature trend is in

°C/decade

Fig. 4 Vertical profiles of temperature trends

in (a) southern, (b) central, and (c) northern

Chile. The upper portion of each graph (white

background) represents the atmosphere and the

lower (blue background) portion represents the

ocean. The solid orange lines are radiosonde

derived trends at 100 m intervals, the lighter

shaded region indicating the 90% confidence

interval (Falvey and Garreaud, 2009).

Fig. 1 Area averaged time series of first difference annual temperatures for 2°N-24°S. Vertical bars extend two

standard errors of the mean on either side of the annual average.

Fig. 5 Correlations between monthly

temperature anomalies and monthly climate

mode anomalies. Stations were only included if

they were at least 80% complete per time period.

Fig. 6 Temperature trend for each station is depicted on far

left, followed by temperature trend attributed to Niño3.4,

PDO, and SAM. Stations were only included if they were at

least 80% complete per time period.

Fig. 3 10°x10° area-averaged temperature

trends, x-axis is temperature trend in °C/decade,

y-axis is latitude.

Summary

Temperatures along the Andes have warmed (Fig. 1), but the warming

has slowed down as compared to previous decades (Fig. 2). A cooling

trend can be observed close to the sea level along the Pacific coast

(Fig. 3), consistent with previous reports from Chile (Fig. 4).

Interannual variability of surface air temperature is driven by natural

modes of climate variability (Fig. 5), but these modes can only

explain a small fraction of the observed warming (Fig. 6).