scholarly journals Climate regionalization and trends based on daily temperature and precipitation extremes in the south of the Pampas (Argentina)

2019 ◽  
Vol 45 (1) ◽  
pp. 393 ◽  
Author(s):  
F. Ferrelli ◽  
A.S. Brendel ◽  
V.S. Aliaga ◽  
M.C. Piccolo ◽  
G.M.E. Perillo
Keyword(s):  
Daily Temperature ◽  
Precipitation Extremes ◽  
Maximum Temperature ◽  
Semiarid Region ◽  
The South ◽  
Short Term ◽  
Substantial Impact ◽  
Temperature And Precipitation ◽  
High Dependency ◽  
Climate Regionalization

The south of Pampas (36° 32’-40° 44’ S; 63° 24’-60° 30’ W), as most of Argentina, is a semiarid region. Its economy is based on rain-fed agriculture and livestock. Traditionally, the climate has been studied considering the analyses of monthly and annual climate parameters, but there is evidence that in this type of areas, the short-term climatic events have a substantial impact on the climate. Therefore, this study aimed at developing a climate regionalization from the analysis of daily temperature and precipitation extremes in the south of the Pampas for the period 1970-2017. Subsequently, it focuses on analyzing both trends and breakpoints of these events in the different sub-climates. To do so, we applied a Cluster-based Principal Component Analyses with a Ward hierarchical supervised method to generate a climate regionalization considering 29 daily extreme climatic indices and the elevation. We identify four sub-regions, and we analyzed trends during 1970-2017, and in the two-time series defined by applying breakpoints. Both minimum and maximum temperatures and precipitation had structural changes in the last 15 years, exposing the region to warming and dryness trends. The maximum temperature increases 0.5ºC, while precipitation decreases 30 mm. The short-term climate variability allows us to identify areas climatically more detailed and to conclude that the south of the Pampas is characterized by its high dependency on short-term climatic events.

scholarly journals Observed trends and changes in daily temperature and precipitation extremes over the Koshi river basin 1975-2010

2016 ◽  
Vol 37 (2) ◽  
pp. 1066-1083 ◽  
Author(s):  
Arun B. Shrestha ◽  
Sagar R. Bajracharya ◽  
Aseem R. Sharma ◽  
Chu Duo ◽  
Ashwini Kulkarni
Keyword(s):  
River Basin ◽  
Daily Temperature ◽  
Precipitation Extremes ◽  
Temperature And Precipitation ◽  
Koshi River Basin

scholarly journals Mapping temperature and precipitation extremes under changing climate (on the example of The Ural region, Russia)

2020 ◽  
Vol 13 (2) ◽  
pp. 154-165
Author(s):  
Andrey N. Shikhov ◽  
Rinat K. Abdullin ◽  
Andrey V. Tarasov
Keyword(s):  
Climate Warming ◽  
Ural Region ◽  
Precipitation Extremes ◽  
Maximum Temperature ◽  
Positive Trend ◽  
Climatic Extremes ◽  
Temperature And Precipitation ◽  
Regional Features ◽  
C 30 ◽  
Climatic Characteristics

The paper presents a series of maps of extreme climatic characteristics for the Ural region and their changes under climate warming observed in last decades. We calculate threshold, absolute and percentile-based indices with the use of daily temperature and precipitation dataset of 99 weather stations of Roshydromet. Extreme climatic characteristics were averaged by moving 30-year periods from 1951 to 2010 for temperature and from 1966 to 2015 for precipitation. The regression-based interpolation was used for mapping climatic extremes taking into consideration the influence of topography. Elevation and general curvature of the terrain are considered as independent variables. In addition, the changes of extreme characteristics between the 30-year periods were estimated. As a result, a series of maps of temperature and precipitation extremes for the Ural region has been created. The maps present not only spatial distribution of the climatic extremes, but also regional features of their changes under climate warming. In general, the revealed changes in extremes in the Ural region correspond to the trends observed on the most of the territory of Russia. There is a substantial decrease of the number of extremely cold days in winter, and the minimum winter temperature has a strong positive trend (up to 1-5°C/30 years). The maximum temperature in summer has a positive trend in most of the territory, but the increase rate does not exceed 2°C between 1951–1980 and 1981–2010. The precipitation extremes also increased up to 0.5-1.5 mm when comparing 1966–1995 and 1985–2015 periods.

scholarly journals Effect of climate change on heat waves in the South Sea of Iran

2020 ◽  
Vol 10 (5) ◽  
pp. 87-93
Author(s):  
J. Safieh ◽  
D. Rebwar ◽  
J. Forough
Keyword(s):  
Heat Waves ◽  
Maximum Temperature ◽  
Thermal Waves ◽  
Cmip5 Model ◽  
Base Period ◽  
The South ◽  
Short Term ◽  
South Sea ◽  
Rcp 8.5 ◽  
Research Show

The purpose of this research is to identify the heat waves of the South Sea of Iran and compare the conditions in the present and future. To reach this goal, the average daily temperature of 35 years has been used. Also, in order to predict future heat waves, the maximum temperature data of four models of the CMIP5 model series, according to the RCP 8.5 scenario, has been used for the period 2040-2074. In order to reverse the output of the climatic models, artificial neural networks were used to identify the thermal waves, and the Fumiaki index was used to determine the thermal waves. Using the programming in MATLAB software, the days when their temperature exceeded 2 standard deviations as a thermal wave were identified. The results of the research show that the short-term heat waves are more likely to occur. Heat waves in the base period have a significant but poorly developed trend, so that the frequency has increased in recent years. In the period from 2040 to 2074, the frequency of thermal waves has a significant decreasing trend, but usually with low coefficients. However, for some stations from 2040 to 2074, the frequency of predicted heat waves increased.

scholarly journals Indices for daily temperature and precipitation extremes in Europe analyzed for the period 1901–2000

2006 ◽  
Vol 111 (D22) ◽  
Author(s):  
Anders Moberg ◽  
Philip D. Jones ◽  
David Lister ◽  
Alexander Walther ◽  
Manola Brunet ◽  
...  
Keyword(s):  
Daily Temperature ◽  
Precipitation Extremes ◽  
Temperature And Precipitation
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