Spatiotemporal patterns and variations of winter extreme precipitation over terrestrial northern hemisphere in the past century (1901–2017)

Spatiotemporal patterns and variations of winter extreme precipitation over terrestrial northern hemisphere in the past century (1901–2017)

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Journal Pre-proof Spatiotemporal patterns and variations of winter extreme precipitation over terrestrial northern hemisphere in the past century (1901–2017) Tao Pan, Lijuan Zhang, Hongwen Zhang, Chong Ren, Yongsheng Li PII:

S1474-7065(19)30220-7

DOI:

https://doi.org/10.1016/j.pce.2019.102828

Reference:

JPCE 102828

To appear in:

Physics and Chemistry of the Earth

Received Date: 7 November 2019 Revised Date:

16 December 2019

Accepted Date: 18 December 2019

Please cite this article as: Pan, T., Zhang, L., Zhang, H., Ren, C., Li, Y., Spatiotemporal patterns and variations of winter extreme precipitation over terrestrial northern hemisphere in the past century (1901– 2017), Physics and Chemistry of the Earth (2020), doi: https://doi.org/10.1016/j.pce.2019.102828. This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. © 2019 Published by Elsevier Ltd.

CRediT Author Statement

Tao Pan: Conceptualization, Methodology, Software, Formal analysis, Writing - Original Draft Lijuan Zhang: Conceptualization, Methodology, Writing Review & Editing Hongwen Zhang: Methodology, Software, Formal analysis Chong Ren: Resources, Formal analysis Yongsheng Li: Formal analysis

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Spatiotemporal patterns and variations of winter extreme precipitation over

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terrestrial Northern Hemisphere in the past century (1901–2017)

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Tao Pana, Lijuan Zhang a*, Hongwen Zhang b, Chong Rena, c, Yongsheng Lid

4

a

5

Service in Cold Regions, Harbin Normal University, Harbin 150025, Heilongjiang, China

6

b

7

of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, Gansu, China

8

c

Heilongjiang Vocational Institute of Ecological Engineering, Harbin 150025, Heilongjiang, China

9

d

Climate Center of Heilongjiang Province, Harbin 150030, Heilongjiang, China

Heilongjiang Province Key Laboratory of Geographical Environment Monitoring and Spatial Information

Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Northwest Institute

10 11

Abstract

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In this study, the spatiotemporal distributions and variation characteristics of winter extreme

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precipitation in the Northern Hemisphere over the past century (1901–2017) were analyzed using

14

trend analysis and spatial analysis. These analyses utilized the monthly average dataset of surface

15

climatic factors (CRU TS4.03), and years with extreme precipitation was defined based on the

16

standard deviation method. The following results were obtained. (1) In the past century, the

17

frequency of years with more winter extreme precipitation (denoted as more-extreme years) in

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the Northern Hemisphere was higher than that of years with less winter extreme precipitation

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(denoted as less-extreme years), with return periods of 10 years and 14 years, respectively. The

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frequency of more-extreme years increased significantly(P<0.05), and the less-extreme years

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were minimal changes (P>0.05) (2) The frequencies of more-extreme years and less-extreme

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years were higher in middle and high latitudes than in low latitudes. Significant increases in the

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frequencies of more-extreme years were observed in middle and high latitudes, while an

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significant increase in the frequency of less-extreme years was observed in low latitudes. The

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frequency of more-extreme years in high latitudes increased the most rapidly. (3) In the past

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century, the frequencies of more-extreme years and less-extreme years over terrestrial Northern

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Hemisphere ranged from 5–15%. The frequency of more-extreme years tended to increase over

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approximately 2/3 of the Northern Hemisphere, and increased significantly over approximately

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1/5 of the Northern Hemisphere. In contrast, the frequency of less-extreme years tended to Received: Accepted: Author: Tao Pan (1990)-, PhD Candidate, E-mail address: [email protected] Corresponding author: Lijuan Zhang (1965-), PhD and Professor, E-mail address: [email protected]

1

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increase over 1/2 of the Northern Hemisphere, and increased significantly over 1/10 of the

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Northern Hemisphere. (4) Spatially, at high latitudes, the proportions of grid points with

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more-extreme years and less-extreme years were the largest, and the increase in the variation of

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winter extreme precipitation was the greatest. In low latitude areas, the number of grid points

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with significant decreases of more-extreme years was smaller than the number with significant

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increases of less-extreme years, indicating that low latitudes were mainly dominated by an

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increase in the frequency of less-extreme years.

37 38

Keywords: Northern Hemisphere, frequency of winter extreme precipitation, spatiotemporal

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patterns and variations, century

40 41

1 INTRODUCTION

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According to the Fifth Assessment Report of the Intergovernmental Panel on Climate

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Change (IPCC, 2013), the global annual average surface temperature has increased by 0.85°C in

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the past century. There is no doubt that climate warming exists. Compared with the climate

45

average, extreme climate events are more sensitive to climate change (Katz and Brown, 1992).

46

Therefore, in the context of climate warming, extreme weather, extreme climate event changes,

47

and their impacts have become hot research topics (Kong et al., 2017; Wang et al., 2017).

48

Research has revealed that with climate warming, the amount, frequency, and intensity of

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extreme precipitation have all exhibited increasing trends, regardless of whether these results

50

have been based on observation value analysis or on model simulation methods (Donat et al.,

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2016; Min et al., 2011; Wiel et al., 2017; Yang et al., 2019). Until now, however, there have been

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few studies on the effects of climate warming on winter extreme precipitation. Thus far, the

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following main conclusions have been drawn: freezing precipitation in the area above 40°N will

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increase (Jeong et al., 2019); large-scale climate anomalies are exerting a significant impact on

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the trend of winter daily maximum precipitation in Canada, and the change of winter extreme

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precipitation is higher than that of the other three seasons (Tan et al., 2017); in the next 50 years,

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the intensity of winter extreme precipitation events in the western region of the United States

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will continue to increase significantly (Dominguez et al., 2012); under the influence of climate

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change, the frequency of winter extreme precipitation events in 1901–2012 exhibited an

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increasing trend in the northern part of Eurasia (Chen and Zhang, 2016); and from 1951 to 2003,

2

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winter extreme precipitation exhibited significant increases in the southern and central United

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States, northern Russia, and Canada, but showed minimal changes in other regions globally

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(Alexander et al., 2006). In this study, the spatiotemporal variation characteristics of winter

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extreme precipitation over terrestrial Northern Hemisphere in the past century (1901–2017) were

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analyzed based on the monthly average dataset of surface climatic factors (CRU-TS4.03). This

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study could provide a basis for exploring the impact of climate warming on the variation of

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global extreme precipitation.

68 69

2 MATERIALS AND METHODS

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2.1 Data sources

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The Climate Research Unit (CRU) of the University of East Anglia in the UK has integrated

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several well-known databases and rebuilt a relatively comprehensive, high-resolution, and

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continuous dataset of surface meteorological factors. This dataset covers the global terrain,

74

including measurements from deserts and plateaus. At present, it has been updated to version

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CRU-TS4.03. This dataset covers the period January 1901 to December 2018, and its horizontal

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grid resolution is 0.5° × 0.5°. This dataset is widely used to analyze changes in global surface

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and upper air meteorological factors (Jones and Moberg, 2003; Wen et al., 2006). In this study,

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the monthly precipitation data of the 1000 hPa grid points in this dataset were selected, for the

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time period December 1901 to February 2018. The winter period (December of the current year

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to February of the following year) was analyzed. The data were downloaded from

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https://crudata.uea.ac.uk/cru/data after registration. The land area of the Northern Hemisphere

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was defined according to the number of grid points on land north of the equator, totaling 49,627

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grid points.

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2.2 Methods

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(1) Determination of the years with extreme precipitation

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At present, there is no unified and mature standard for defining the extreme precipitation

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threshold. The most common methods are the percentile method (Zolina et al., 2004) and the

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standard deviation method (Qian et al., 2007). In this study, the standard deviation method was

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used to determine the threshold value of extreme precipitation:

90 91

̄±

(1)

where ̄ is the mean value of the annual winter precipitation, 3

is the standard deviation, and

92 93

is a mathematical coefficient. In the analytical process, different researchers select different

values for specific data

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distributions. The most commonly used values are 2.576, 1.960, and 1.645, which represent

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events with probabilities < 0.01, < 0.05, and < 0.10, respectively. A preliminary analysis of the

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CRU data showed that when the

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years was too small to be representative. Thus, the value of

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years having annual winter precipitation with probabilities < 0.20 were selected as extreme

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precipitation years. In the actual calculation process, each grid point was the calculation unit. If

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the winter precipitation in a given year of a grid point was higher than the threshold value, that

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year was denoted a more-extreme year; otherwise, if the winter precipitation of this grid point in

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that year was lower than the threshold value, that year was denoted a less-extreme year.

value was set to 1.645, the number of extreme precipitation was selected to be 1.282, and the

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The time period of this study was 1901–2017, thus including only 7 years in 2010s. If the

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number of winter extreme precipitation years in each decade was analyzed, the number of years

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in each decade would not be equal, and therefore could not be compared. For this reason, the

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frequency method (number of extreme winter precipitation years per decade) was used to

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compare the variations in extreme precipitation among decades. For the actual calculation, before

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the 2010s, the frequency was the number of winter extreme precipitation years/10, while after the

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2010s, the frequency was calculated as the number of winter extreme precipitation years/7.

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(2) Trend analysis

111 112

A linear regression equation of winter extreme precipitation ( ) and the corresponding time ( ) was established using the linear tendency estimation method (Mao et al., 2011): =

113

+  

= 1,2, ⋯ ,

(2)

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Here,

is the linear regression coefficient, indicating the variation rate of winter extreme

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precipitation. The positive and negative values of

indicates the direction of the data series

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change with time. The larger the absolute value of

, the greater the variation trend of winter

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extreme precipitation, and the larger the variation range.

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(3) Mann-Kendall test

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The Mann Kendall (MK) test is a kind of nonparametric statistical test method (Mann, 1945;

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Kendall, 1975). Its advantage is that it does not need the sample to follow a certain distribution,

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and it is not affected by a few outliers. It is more suitable for type variables and sequence

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variables, and the calculation is more convenient. 4

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For time series X with n sample sizes, a rank series is constructed: =∑

124 125

=

127

(& = 1,2, … , )

(4)

"# $"% else

time greater than that at the time j. Under the assumption of random independence of time series, a statistic is defined: '( =

130

)*+ ,-(*+ ).

,

5, … , 6

( = 1,2, … , )

/012(*+ )

Where, '( =0,3( ),4

131

133

1 0

Sk is a rank sequence composed of the accumulated number of values at the time i than at

129

132

(3)

where

126

128

( = 2,3,4, … , )

(5)

( ) are the mean and variance of the Sk respectively. When

are independent of each other and has the same continuous distribution, they can be

calculated by the following formula:

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3( ) =

135

4

6(67 )

( )=

(6)

8

6(6, )(5679)

(7)

:5

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'( is the standard normal distribution. At a given significance levelα, look up the normal

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distribution table. If '( | > '= , it indicates that there is an obvious trend change in the sequence.

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According to the time series X in reverse order(

139

and the variables

6 , 6,

,…,

), the above process was repeated,

'> =−'( , = , − 1, … ,1, '> =0 were constructed.

140

The advantage of the Mann Kendall test is that it is not only simple to calculate, but also

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can determine the time of mutation initiation and point out the mutation region. Therefore, it is a

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common method to analyze mutation.

143 144

3 RESULTS AND ANALYSIS

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3.1 Decadal Variation Characteristics of Winter Extreme Precipitation Over Terrestrial

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Northern Hemisphere in the Past Century

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In the past century, the frequencies of more-extreme years and less-extreme years in the

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Northern Hemisphere were 9.64% and 7.33%, i.e., these extreme years had return periods of

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approximately 10 years and 14 years, respectively (Figure 1a). The frequency of more-extreme 5

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years was higher than that of less-extreme years. In the past century, the frequency of winter

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extreme precipitation has changed with time. A significant increase was observed in the

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frequency of more-extreme years, at a rate of 0.87%/10a (P < 0.01); the frequency of the

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less-extreme years were minimal changes,at a rate of 0.10%10a (P > 0.05). In the past century,

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the anomaly map of the frequency of winter extreme precipitation (Figure 1b) shows that there

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were clear stages in the distribution of winter extreme precipitation. Specifically, the frequency

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of the more-extreme years changed after the 1950s, exhibiting a negative anomaly before the

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1950s and a positive anomaly after the 1950s. These results show that after the middle of the

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20th century, the frequency of more-extreme years over terrestrial Northern Hemisphere has

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increased significantly. Meanwhile, the frequency of less-extreme years was relatively low

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before the 1920s and after the 2000s, and relatively high between the 1920s and the 2000s.

Frequency%

(a1). more-extreme years

(a2). less-extreme years

19

10.2

17 15 13 11

9.2 8.2 7.2 6.2

9 7 5

y = 0.8718x + 3.9762 R² = 0.666

5.2

y = 0.1002x + 6.6815 R² = 0.0518

4.2

3

3.2

161 8

(b1). more-extreme years

6

Frequency%

4 2

y = 0.8718x - 5.6669 R² = 0.666

2

(b2). less-extreme years y = 0.1002x - 0.6511 R² = 0.0518

1 0

-2

-1

-6

163 164 165

3

0

-4

162

4

-2 -3 -4

Fig. 1. (a) Decadal changes and (b) anomaly variations in the frequency of winter extreme precipitation in the Northern Hemisphere in 1901–2017.

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The Northern Hemisphere was divided into low latitude, middle latitude, and high latitude

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regions, with boundaries of 0–30°N, 30–60°N, and 60–90°N, respectively. Table 1 shows that

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extreme precipitation exhibited varying characteristics with latitude. In the past century, the

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frequencies of more-extreme years as well as those of less-extreme years were higher in middle

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and high latitudes than in low latitudes, indicating that the interannual variations of extreme

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precipitation in middle and high latitudes were higher than in low latitudes. In the past century, 6

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the frequency of more-extreme years in high latitudes exhibited significantly increased (P < 0.01),

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and the increasing rate of the frequency of more-extreme years in high latitudes was higher than

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that in middle latitudes. The frequency in low latitudes were minimal changes (P > 0.05).

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However, the frequency of less-extreme years were minimal changes in middle and high

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latitudes (P > 0.05), and increased significantly in low latitudes (P < 0.01). Overall, these results

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reveal that the number of more-extreme years in middle and high latitudes increased significantly,

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while the number of less-extreme years in low latitudes increased significantly. The increasing

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rate of the frequency of more-extreme years in high latitudes was higher than that of

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less-extreme years in low latitudes.

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It can be seen from the anomaly distribution (Figure 2) that after the 1950s the

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more-extreme years displayed positive anomalies at all latitudes, indicating that after the 1950s

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the frequency of more-extreme years over terrestrial Northern Hemisphere was high. The

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variation of less-extreme years differed with latitude. In the middle and high latitudes changes

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occurred after the 1970s and 1980s, while in low latitudes changes occurred after the 1950s. The

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frequency of less-extreme years in the middle and high latitudes was low after the 1970s and

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1980s, respectively, while in the low latitudes it was high after the 1950s. The above result shows

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that, relatively speaking, since the middle of the 20th century the number of more-extreme years

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in the Northern Hemisphere has increased, while the number of less-extreme years has decreased

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in middle and high latitudes, and increased in low latitudes.

191 192 193 194

Table 1 Frequency and decadal variation trend of winter extreme precipitation at high, middle, and low latitudes in the Northern Hemisphere (** indicates P < 0.01). Total Years with more winter Years with less winter frequency

extreme precipitation

extreme precipitation

Frequency

Variation trend

Frequency

Variation trend

(%)

(%/10a)

(%)

(%/10a)

High latitudes

18.26

9.70

1.50**

8.56

−0.11

Middle latitudes

18.91

10.52

0.80**

8.39

0.09

Low latitudes

12.02

8.04

0.23

3.98

0.37**

7

195 (a1).High latitudes

14

Frequency%

9

196

3 1

4 -1 -1 -3 -6

-5

-11

-7

5

(b1).High latitudes

Frequency%

(b2).Middle latitudes

2

2

0

0

-1

-1

-2

-2

-3

-3

-3

-4

-4

-4

-2

(b3).Low latitudes

y = 0.3699x - 2.4046 R² = 0.5322

1

0 -1

y = 0.231x - 1.5016 R² = 0.1693

3 y = 0.0911x - 0.592 R² = 0.0288

2 1

1

(a3).Low latitudes

5 4 3 2 1 0 -1 -2 -3 -4

4

3 y = -0.1078x + 0.7009 R² = 0.0276

3

198 199 200 201

y = 0.7969x - 5.1797 R² = 0.6744

4

4

197

(a2).Middle latitudes

5

y = 1.5049x - 9.7816 R² = 0.6747

Fig. 2. Decadal anomaly variations in the frequency of winter extreme precipitation at different latitudes in the Northern Hemisphere in 1901–2017.(a1、a2、a3)more-extreme years and (b1、 b2、b3)less-extreme years.

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The results of MK test show that there are mutation points of more-extreme years in the

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northern hemisphere land and in high, middle and low latitudes (Figure 3). The mutation point of

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more-extreme years in northern hemisphere is the 1930s, while the mutation point of

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more-extreme years in high, middle and low latitudes is 1930s, 1940s and 1910s respectively.

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The mutation point of less-extreme years only appears in low latitudes, which is the 1940s. The

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more-extreme years increased significantly after the 1950s, and the less-extreme years increased

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significantly in low latitudes after the 1950s, and their changes all occurred after the mutation

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point. (a1).Northern Hemisphere

(a4).Low latitudes 4

(a2).High latitudes 4

2

3

3

3

1

2

2

2

1

1

1

0

0

0

-1

-1

-1

0 -1 -2

210

(a3).Middle latitudes

3

-3

4

-2 UF

UB

-3

-2

UF

UB

-3

8

-2 UF

UB

-3

UF

UB

(b2).High latitudes 4

(b1).Northern Hemisphere 3

3

2

(b2).Middle latitudes 4

(b3).Low latitudes 4

3

3

2

2

1

1

2 1

1 0

0 -1 -2 -3

-1

0

0

-2

-1

-1

-3 -4

-2

-2

-3

211 212 213 214 215

Fig. 3. The results of the Mann-Kendall test in the frequency of winter extreme precipitation at different latitudes in the Northern Hemisphere in 1901–2017. (a1、a2、a3、a4)more-extreme years and(b1、b2、b3、b4)less-extreme years.

216

3.2 Spatial distribution Pattern and Variation Characteristics of Winter Extreme

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Precipitation Over Terrestrial Northern Hemisphere

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3.2.1 Spatial pattern distributions and variations of more-extreme years

UF

UB

UF

UB

-3

UF

UB

UF

UB

219

In the past century, the spatial distribution of the frequency of more-extreme years in the

220

Northern Hemisphere is shown in Figure 4. It can be seen that the frequency of more-extreme

221

years in the Northern Hemisphere ranged 0–38.33%, and the spatial distribution was not uniform.

222

The data were tallied in 5% increments. As shown in Figure 5, the frequency of more-extreme

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years in most regions was distributed in the range of 5–10% and 10–15%, with 10–15% being

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the most common. The regions with frequencies of more-extreme years > 15% were mainly

225

distributed in northeastern and eastern Canada, the western United States, northeastern Mali,

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southern Egypt, central Russia, northern Kazakhstan, and northern India.

227 228 229 230

Fig. 4. Spatial distribution of the frequency of more-extreme years in the Northern Hemisphere in 1901–2017(unit: %).

9

231 232 233 234 235

Fig. 5. Number of grid points for the frequency of winter extreme precipitation in the Northern Hemisphere in 1901–2017.

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Northern Hemisphere. As shown in this figure, the grid points that exhibited an increasing trend

237

in the frequency of more-extreme years accounted for 71.68% of the Northern Hemisphere’s land

238

area, while those displaying a decreasing trend accounted for 21.50%, and those that were

239

unchanged accounted for 6.82%. It can be seen that in the past century the grid points of nearly

240

2/3 of the land areas in the Northern Hemisphere had an increasing trend in the frequency of

241

more-extreme years. Among them, 20.54% exhibited a significant increasing trend (Figure 7),

242

with an average linear trend value of 2.57%/10a, while 1.37% showed a significant decreasing

243

trend, with an average linear trend value of −2.03%/10a. The overall proportions of grid points

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showing significant increases in high, middle, and low latitudes were 34.31%, 19.09%, and

245

6.31%, respectively. It can be seen that the proportion of the area with significant increases was

246

the largest in high latitudes. The proportions of grid points with significant decreases in high,

247

middle, and low latitudes were 0.02%, 1.88%, and 2.14%, respectively, revealing that the

248

proportion of the area with significant decreases was the largest in the low latitudes. The areas

249

with significant increases in the frequency of more-extreme years were primarily located in

250

western Alaska, northeastern Canada, the vicinity of Greenland, most of Iceland, and

251

northwestern and central Eurasia. The areas with significant decreases in the frequency of

252

more-extreme years were mainly in the northern part of the Indian peninsula, central Kazakhstan,

Figure 6 shows the linear trend distribution of the frequency of more-extreme years in the

10

253

and southern Africa.

254

255 256 257 258

259 260 261 262 263 264

Fig. 6. Linear trend distribution of the frequency of more-extreme years in the Northern Hemisphere in 1901–2017 (unit: %/10a).

Fig. 7. Linear trend distribution of the frequency of more-extreme years in the Northern Hemisphere in 1901–2017 (unit: %/10a). Color areas indicates P < 0.05.

3.2.2 Spatial pattern distribution and variations of less-extreme years

265

Figure 8 illustrates the spatial distribution of the frequency of less-extreme years in the

266

Northern Hemisphere from 1901 to 2017. It can be seen that the frequency of less-extreme years

267

in the Northern Hemisphere over the past century ranged 0–20.83%, and the spatial distribution

268

was not uniform. The frequency was mainly between 5–10%, accounting for 57.12% of the grid

269

points, while the frequencies of 0–5% and 10–15% accounted for 22.57% and 10.86% of all grid

270

points, respectively (Figure 5). The regions in which the frequency of less-extreme years was >

271

15% were mainly distributed in eastern and northeastern Canada, western Norway, western

272

Romania, and northern and central Russia.

11

273

274 275 276 277 278

Fig. 8. Spatial distribution of the frequency of less-extreme years in the Northern Hemisphere in 1901–2017 (unit: %).

279

Hemisphere in the past century is shown in Figure 9. As seen in this figure, the grid points

280

exhibiting an increasing trend in the frequency of less-extreme years accounted for 47.45% of

281

the Northern Hemisphere’s land area, those exhibiting a decreasing trend accounted for 38.68%,

282

and those that were unchanged accounted for 13.87%. Among them, 8.43% of the grid points

283

showed a significant increasing trend (Figure 10), with a trend value of 2.15%/10a, while 5.47%

284

showed a significant decreasing trend, with a trend value of −2.47%/10a. The proportions of grid

285

points with significant increases in high, middle, and low latitudes were 10.26%, 7.56%, and

286

7.71%, respectively, while the proportions of grid points with significant decreases in high,

287

middle, and low latitudes were 11.81%, 3.84%, and 0.58%, respectively. It can thus be seen that

288

the high latitude region had the largest area of increase as well as the largest area of decrease in

289

the frequency of less-extreme years. Therefore, high latitudes experienced the most significant

290

changes in less-extreme years. In the middle and low latitudes, the overall area with a significant

291

increase in the frequency of less-extreme years was larger than the overall area with a significant

292

decrease. The areas with a significant increase were mainly located in northeastern North

293

America, central and eastern Eurasia, Central Asia, northern China, and southern Mongolia; the

294

areas with a significant decrease were mainly distributed in western Greenland, as well as

295

northwestern, north central, and northeastern Eurasia.

The linear variation trend of the frequency of less-extreme years over terrestrial Northern

12

296 297 298

299 300 301 302 303

Fig. 9. Linear trend distribution of the frequency of less-extreme years in the Northern Hemisphere in 1901–2017 (unit: %/10a).

Fig. 10. Linear trend distribution of the frequency of less-extreme years in the Northern Hemisphere in 1901–2017 (unit: %/10a). Color areas indicates P < 0.05. Based on the above analysis, we can see that the frequencies of more-extreme years and

304

less-extreme years in the Northern Hemisphere ranged from 5% to 15%, and the spatial

305

distribution was not uniform. The grid points that had an increasing trend of more-extreme years

306

and less-extreme years both accounted for a large proportion, and the number of grid points with

307

a significant increase was larger than the number with a significant decrease. The proportion of

308

grid points with a significant increase in the frequency of more-extreme years was the largest in

309

the high latitude region, and the proportion of grid points with a significant decrease in the

310

frequency of less-extreme years was the largest also in the high latitude region, indicating that

311

the high latitudes of the Northern Hemisphere experienced the largest variation in extreme

312

precipitation.

313 314 315 13

316

4 DISCUSSION AND CONCLUSIONS

317

4.1 Discussion

318

(1) In theory, an increase in temperature will lead to an increase in water vapor content and

319

precipitation (Wentz et al., 2007). Observational data have also confirmed the theoretical

320

inference of increasing air moisture content due to increasing temperature (Trenberth et al.,

321

2005). Global warming is an important reason for the increase in extreme heavy precipitation

322

(Goswami et al., 2006). Therefore, under the influence of global warming, the effect of

323

temperature change on the variation of spatiotemporal patterns of extreme precipitation is

324

non-negligible. This study utilized CRU data to analyze the distribution and variation of the

325

frequency of the years with winter extreme precipitation over terrestrial Northern Hemisphere in

326

the past century. This analysis could provide a new basis for the study of extreme precipitation

327

change under the background of climate warming, and in particular, it enriches the study of

328

winter extreme precipitation change as influenced by climate warming.

329

(2) The Fifth Assessment Report of the IPCC pointed out that extreme precipitation changed

330

significantly in the 20th century, during which time it increased significantly in the middle and

331

high latitudes (Stocker et al., 2013). In addition to the significant increase in the frequency of

332

more-extreme years in the middle and high latitudes, it was further discovered in the current

333

study that the frequency of less-extreme years in low latitudes also significantly increased. Chen

334

and Zhang (2016) reported that the frequency of winter extreme heavy precipitation events

335

increased significantly during 1901–2012 in the northern coastal areas across the entire Eurasian

336

continent. In the present study, it was shown that the frequency of more-extreme years increased

337

significantly in 1/5 of the land area of the Northern Hemisphere over the past century, covering a

338

relatively large region including the entire northern coastal areas of the Eurasian continent.

339

López-Moreno et al. (2011) used a regional climate model to simulate the frequency and

340

intensity of heavy snow events at an altitude of 1000 m under the condition of future temperature

341

rise, and found a significant decrease. Moreover, a study by Kenneth et al. (2009) revealed that

342

the frequency of extreme snow years in the United States has decreased due to climate warming.

343

These conclusions differ from those drawn in the present study, which deduced that the

344

frequency of more-extreme years increased at high latitudes of the Northern Hemisphere over the

345

past century.

346

(3) It is concluded in this study that over the past century the frequency of more-extreme

14

347

years in the Northern Hemisphere increased significantly (P < 0.05). The frequency of

348

less-extreme years were minimal changes (P > 0.05). Since 1901, wintertime land temperatures

349

in the Northern Hemisphere exhibited an extremely significant increasing trend (Figure 11), with

350

an increase rate of 0.15°C/10a (P < 0.01). Winter temperatures in the high, middle, and low

351

latitude areas have all displayed significant increasing trends, among which the rate of increase

352

was highest in the high latitude area, averaging approximately 0.19°C/10a (P < 0.01), followed

353

by that in the middle latitudes (0.16°C/10a; P < 0.01) and low latitudes (0.07°C/10a; P < 0.01).

354

The rate of temperature increase in the high latitudes was the greatest, while that in the low

355

latitudes was the smallest. The results show that the areas with a higher increase in temperature

356

exhibited a greater increase in the frequency of more-extreme years, while the areas with a lower

357

rate of temperature increase displayed a greater increase in the frequency of less-extreme years.

358

The spatial distribution of the tendency rate of winter average temperature in the past century

359

(Figure 12) reveals that winter temperatures in the terrestrial Northern Hemisphere generally

360

increased significantly, with greater increases in the middle and high latitude areas than in the

361

low latitude areas. This further proved that the temperature change was related to the variation of

362

extreme precipitation, although the temperature change was not highly consistent with the

363

change in extreme precipitation spatially.

364 -4 (a).Northern Hemisphere

Temperature\℃

-5 -6

-23

y = 0.015x - 8.0008 R² = 0.4698

-25

366 367 368

-6 y = 0.0191x - 28.171 R² = 0.3329

-7

(d).Low latitudes

21

-27

y = 0.0069x + 19.291 R² = 0.3291

20

-8

-10 1901

22

y = 0.0166x - 9.527 R² = 0.342

-8

-10

-29

-9

365

(c).Middle latitudes

(b).High latitudes

1930

1959

1988

2017

-31 1901

1930

1959

1988

2017

-12 1901

19

1930

1959

1988

2017

18 1901

1930

1959

1988

2017

Fig. 11. Interannual change in winter temperatures over terrestrial Northern Hemisphere in 1901–2017.

15

369 370 371 372 373

Fig. 12. Linear trend distribution of winter temperatures over terrestrial Northern Hemisphere in 1901–2017 (unit: °C/10a).Shading indicates P < 0.05.

374

Northern Hemisphere, as well as the mutation points of the average winter temperature in high,

375

middle and low latitudes (Figure 13). The results show that there is no intersection between UF

376

and UB in the 0.05 probability range, so the annual average temperature of land in the northern

377

hemisphere in winter has no mutation in 1901-2017, and the winter average temperature in high,

378

middle and low latitudes has no mutation in 1901-2017. Therefore, it can be concluded that the

379

change of extreme precipitation on time scale does not exactly match the change of temperature.

Furthermore, the MK test is used to analyze the winter temperature in the terrestrial

380 (a3).Middle latitudes 9

9

7

7

7

7

5

5

5

5

3

3

3

3

1

1

1

(a1).Northern Hemisphere

-11901

381

1930

-3

9

1959

1988

UF

(a2).High latitudes

2017

UB

(b1).Northern Hemisphere

7 5

-11901

1930

-3

1959

1988

UF

2017

UB

-11901

1 1930

-3

1959

1988

UF

2017

UB

-11901

(b2).High latitudes

(b3).Middle latitudes

9

9

9

7

7

7

5

5

3

3

3

1

1

1

-3

1930

1959

UF

1988

2017

UB

-11901 -3

1930

1959

UF

1988

2017

UB

-11901 -3

1959

1988

UF

2017

UB

(b4).Low latitudes

5

1901

1930

-3

3

-1

382 383 384 385 386

(a4).Low latitudes

9

9

1 1930

1959

UF

1988

2017

UB

-11901 -3

1930

1959

UF

1988

2017

UB

Fig. 13. The results of the Mann-Kendall test in winter temperatures(a) and annual average temperatures(b) in the Northern Hemisphere in 1901–2017. Meanwhile, we analyzed the winter temperature anomaly and annual average temperature

387

anomaly in the northern hemisphere in the past century (Figure 14), and found that the

388

temperature changes occurred in the late 1980s, which was not consistent with the turning point 16

389

of the extreme precipitation frequency anomaly. It is further explained that the distribution and

390

change of extreme precipitation are related to temperature, but not completely affected by

391

temperature, but also by atmospheric circulation and other factors.

392 4

(a1).Northern Hemisphere

3

Temperature\℃

393

Temperature\℃

1901

1930

1959

1988

2017

-1

1930

1959

1988

2017

-1

-2 -3

-3

-3

-4

-4

-4

(b1).Northern Hemisphere 2

1930

1959

1988

1959

1988

2

(b3).Middle latitudes

1959

1988

1930

1959

1988

2017

1

y = 0.0127x - 0.7465 R² = 0.612

(b4).Low latitudes 1

1901

2017

1930

1959

1988

y = 0.0072x - 0.4259 R² = 0.5254

0.5

0 1930

1901

2017

-2

y = 0.0138x - 0.8127 R² = 0.4313

1901

2017

1930

-1

0 1901

-2

1901

(b2).High latitudes

1

0 -1

0

0 1901

-2

y = 0.0116x - 0.6862 R² = 0.5964

y = 0.0069x - 0.4057 R² = 0.3291

1

1

-2

1

y = 0.0166x - 0.9823 R² = 0.342

2

0

0

2

394 395 396 397 398

3

1

1

(a4).Low latitudes

2

(a3).Middle latitudes

4

y = 0.0191x - 1.1292 R² = 0.3329

2

y = 0.015x - 0.8824 R² = 0.4698

2

-1

(a2).High latitudes

4

3

2017

0 1901

-1

-1

-0.5

-2

-2

-1

1930

1959

1988

2017

Fig. 14. Interannual anomaly variations in winter temperatures(a) and annual average temperatures(b) over terrestrial Northern Hemisphere in 1901–2017. (4) The results of this analysis reveal that the frequencies of more-extreme years and

399

less-extreme years in the Northern Hemisphere over the past century in the high and middle

400

latitudes were higher than those in the low latitudes. Since 1901, winter precipitation over

401

terrestrial Northern Hemisphere have shown a significant increasing trend (Figure 15), increasing

402

at a rate of 0.16 mm /10a (P < 0.01). Moreover, winter precipitation in the high and middle

403

latitudes has shown an extremely significant increasing trend, increasing at rates of 0.37 mm/10a

404

(P < 0.01) and 0.14 mm/10a (P < 0.01), respectively. Meanwhile, winter precipitation in low

405

latitudes has decreased at a rate of -0.04 mm/10 a (P > 0.05). It can be seen that the greatest rate

406

of winter precipitation increase occurred at high latitudes, and the smallest occurred at low

407

latitudes. This reveals that the number of more-extreme years increased in the regions with

408

significant increases in winter precipitation over the past century, while the number of

409

less-extreme years increased in the regions with minimal changes in winter precipitation (Figure

410

16).

411

17

(b).High latitudes

Precipitation/mm

(a).Northern Hemisphere

412 413 414 415

y = 0.0164x + 28.25 R² = 0.2203

32 30

27 25

45

y = 0.0371x + 20.039 R² = 0.4613

40

23

37

1959

1988

2017

17 1901

y = -0.0042x + 29.724 R² = 0.005

32

35 27 30

19 1930

(d).Low latitudes

y = 0.0137x + 33.115 R² = 0.0593

21

28 26 1901

(c).Middle latitudes

1930

1959

1988

2017

25 1901

1930

1959

1988

2017

22 1901

1930

1959

1988

2017

Fig. 15. Interannual variation in winter precipitation over terrestrial Northern Hemisphere in 1901–2017.

416 417 418 419

Fig. 16. Linear trend distribution of winter precipitation over terrestrial Northern Hemisphere in 1901–2017 (unit: mm/10a)Shading indicates P < 0.05.

420

4.2 Conclusions

421

(1) During 1901–2017, the frequency of more-extreme years over terrestrial Northern

422

Hemisphere was higher than that of less-extreme years, with specific values of 9.64% and 7.33%,

423

respectively, corresponding to return periods of approximately 10 years and 14 years. The

424

frequency of more-extreme years was higher than that of less-extreme years, and the frequency

425

of more-extreme years had a significant increasing trend, with a trend value of 0.87%/10a. The

426

frequency of less-extreme years also exhibited an increasing decadal trend, albeit not significant.

427

(2) During 1901–2017, the frequencies of more-extreme years and less-extreme years over

428

terrestrial Northern Hemisphere in the middle and high latitudes were higher than those at low

429

latitudes. The frequency of more-extreme years in the middle and high latitudes exhibited a

430

significant increasing trend, with the maximum increase rate of 1.50%/10a appearing at high

431

latitudes. However, the frequency of less-extreme years showed no significant change in the

432

middle and high latitudes, while the frequency at low latitudes displayed a significant increasing

433

trend, with a rate of 0.37%/10a. The frequencies of both the more-extreme years and

434

less-extreme years increased at all latitudes after the 1950s. 18

435

(3) During 1901–2017, the frequencies of more-extreme years and less-extreme years over

436

terrestrial Northern Hemisphere ranged 5–15%. In the Northern Hemisphere, an increasing trend

437

in the frequency of more-extreme years was observed at 71.68% of the grid points, and a

438

significant increasing trend was observed at 20.54% of the grid points, with an average linear

439

trend value of 2.57%/10a. An increasing trend in the frequency of less-extreme years was

440

observed at 47.45% of the grid points, and a significant increasing trend was observed at 8.43%

441

of the grid points, with an average linear trend value of 2.15%/10a. Over the past century, the

442

Northern Hemisphere was mainly characterized by an increase in winter extreme precipitation.

443 444

Acknowledgments: This research is funded by the National Natural Science Foundation of

445

China (Grant No. 41771067).

446 447

REFERENCES

448

Alexander, L.V., Zhang, X., Peterson, T.C., Caesar, J., Gleason, B., Klein Tank, A., Haylock, M.,

449

Collins, D., Trewin, B., Rahimzadeh, F., 2006. Global observed changes in daily climate

450

extremes of temperature and precipitation. Journal of Geophysical Research: Atmospheres

451

111.

452 453

Chen, J., Zhang, Y., 2016. Regional differences of land extreme precipitation and temperature changes under climate change condition. Plateau Meteorology 35, 955-968.

454

Dominguez, F., Rivera, E., Lettenmaier, D., Castro, C., 2012. Changes in winter precipitation

455

extremes for the western United States under a warmer climate as simulated by regional

456

climate models. Geophysical Research Letters 39.

457 458

Donat, M.G., Lowry, A.L., Alexander, L.V., O’Gorman, P.A., Maher, N., 2016. More extreme precipitation in the world’s dry and wet regions. Nature Climate Change 6, 508.

459

Goswami, B.N., Venugopal, V., Sengupta, D., Madhusoodanan, M., Xavier, P.K., 2006.

460

Increasing trend of extreme rain events over India in a warming environment. Science 314,

461

1442-1445.

462

Intergovernmental Panel On Climate Change (IPCC), 2013. In: Stocker, T.F., Qin, D., Plattner,

463

G.-K., Tignor, M., Allen, S.K., Boschung, J., Nauels, A., Xia, Y., Bex, V.,Midgley, P.M.

464

(Eds.), Climate Change 2013: the Physical Science Basis. Contribution of Working Group I 19

465

to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change,

466

(Cambridge, United Kingdom and New York, NY, USA).

467

Jeong, D.I., Cannon, A.J., Zhang, X., 2019. Projected changes to extreme freezing precipitation

468

and design ice loads over North America based on a large ensemble of Canadian regional

469

climate model simulations. Natural Hazards and Earth System Sciences 19, 857-872.

470 471 472 473

Jones, P.D., Moberg, A., 2003. Hemispheric and large-scale surface air temperature variations: An extensive revision and an update to 2001. Journal of Climate 16, 206-223. Katz, R.W., Brown, B.G., 1992. Extreme events in a changing climate: variability is more important than averages. Climatic change 21, 289-302.

474

Kendall, M.G., 1975: Rank correlation methods. Charles Griffin, London.

475

Kong, F., Shi, P., Fang, J., Lu, L., Fang, J., Gou, J., 2017. Advances and prospects of

476

spatiotemporal pattern variation of extreme precipitation and its affecting factors under the

477

background of global climate change. Journal of Catastrophology 32, 165-174.

478

Mann, H.B., 1945: Nonparametric tests against trend. Econometrica 13, 245–259.

479

Mao, S.-S., Cheng, Y.-M., Pu, X., 2011. Probability theory and mathematical statistics. Higher

480 481 482 483 484

Education Press, Beijing. Min, S.-K., Zhang, X., Zwiers, F.W., Hegerl, G.C., 2011. Human contribution to more-intense precipitation extremes. Nature 470, 378. Qian, W., Lin, X., Zhu, Y., Xu, Y., Fu, J., 2007. Climatic regime shift and decadal anomalous events in China. Climatic Change 84, 167-189.

485

Tan, X., Gan, T.Y., Shao, D., 2017. Effects of persistence and large-scale climate anomalies on

486

trends and change points in extreme precipitation of Canada. Journal of hydrology 550,

487

453-465.

488 489 490

Trenberth, K.E., Fasullo, J., Smith, L., 2005. Trends and variability in column-integrated atmospheric water vapor. Climate dynamics 24, 741-758. Wang, A., Su, B., Wang, Y., Huang, J., Wen, S., Jiang, T., 2017. Variation of the extreme low

491

temperature events and farmland exposure under global warming of 1. 5

492

Meteorologica Sinica 75, 415-428.

and 2. 0 .. Acta

493

Wen, X., Wang, S., Zhu, J., VINER, D., 2006. An overview of China climate change over the

494

20th century using UK UEA/CRU high resolution grid data. Chinese Journal of

495

Atmospheric Sciences, 894-904.

20

496 497

Wentz, F.J., Ricciardulli, L., Hilburn, K., Mears, C., 2007. How much more rain will global warming bring? Science 317, 233-235.

498

Wiel, K.v.d., Kapnick, S.B., Oldenborgh, G.J.v., Whan, K., Philip, S., Vecchi, G.A., Singh, R.K.,

499

Arrighi, J., Cullen, H., 2017. Rapid attribution of the August 2016 flood-inducing extreme

500

precipitation in south Louisiana to climate change. Hydrology and Earth System Sciences

501

21, 897-921.

502

Yang, Y., Gan, T.Y., Tan, X., 2019. Spatiotemporal Changes in Precipitation Extremes over

503

Canada and Their Teleconnections to Large-Scale Climate Patterns. Journal of

504

Hydrometeorology 20, 275-296.

505

Zolina, O., Kapala, A., Simmer, C., Gulev, S.K., 2004. Analysis of extreme precipitation over

506

Europe from different reanalyses: a comparative assessment. Global and Planetary Change

507

44, 129-161.

508

21

Highlights: We analyze characteristics of winter extreme precipitation in the northern hemisphere. The frequency of years with extreme winters in high latitudes exhibited a significant increase. The frequency of less extreme winters in low latitudes exhibited a significant increase.

Conflict of Interest Statement We declare that we have no financial and personal relationships with other people or organizations that can inappropriately influence our work, there is no professional or other personal interest of any nature or kind in any product, service and/or company that could be construed as influencing the position presented in, or the review of, the manuscript.