scholarly journals Simulation of temperature and precipitation climatology for the Central Asia CORDEX domain using RegCM 4.0

2012 ◽  
Vol 52 ◽  
pp. 63-76 ◽  
Author(s):  
T Ozturk ◽  
HA Altinsoy ◽  
M Türkeș ◽  
ML Kurnaz
2013 ◽  
Vol 142 (3) ◽  
pp. 608-615 ◽  
Author(s):  
A. M. GRJIBOVSKI ◽  
A. KOSBAYEVA ◽  
B. MENNE

SUMMARYWe studied associations between monthly counts of laboratory-confirmed cases of salmonellosis, ambient air temperature and precipitation in four settings in Kazakhstan. We observed a linear association between the number of cases of salmonellosis and mean monthly temperature during the same months only in Astana: an increase of 1°C was associated with a 5·5% [95% confidence interval (CI) 2·2–8·8] increase in the number of cases. A similar association, although not reaching the level of significance was observed in the Southern Kazakhstan region (3·5%, 95% CI −2·1 to 9·1). Positive association with precipitation with lag 2 was found in Astana: an increase of 1 mm was associated with a 0·5% (95% CI 0·1–1·0) increase in the number of cases. A similar association, but with lag 0 was observed in Southern Kazakhstan region (0·6%, 95% CI 0·1–1·1). The results may have implications for the future patterns of salmonellosis in Kazakhstan with regard to climate change.


Author(s):  
Anfeng Qiang ◽  
Ni Wang ◽  
Jiancang Xie ◽  
Jiahua Wei ◽  
Xia Wei

The variance tendency of climatic and spatial-temporal equilibrium characteristics of major cities along the SREB were systematically described through moving mean method, Kriging interpolation method, Bernaola-Galvan algorithm and correlation analysis based on monthly scale data of global weather stations released by the National Climatic Data Center website since 1951. Some conclusions cloud be drawn: (1) The precipitation showed a downward trend in other districts with significant seasonal differences except the Europe. The annual precipitation was “N” type distribution in Central Asia, while showed an “inverted V” and a “positive V” distribution in the East Asia and West Asia respectively, and the precipitation change was relatively gentle in Europe. The dominant factors affecting climate were different in different districts. (2) The temperature continued to increase in all districts and the seasonal temperature presented unimodal distribution, the alternation of drying and wetting was obvious in each districts as well as the temperature was complex and changeable in Europe. (3) The mutation point of temperature was detected by using Bernaola-Galvan algorithm in all districts, but the timing of the mutation was not synchronous and the mutation point of precipitation was not detected except in Europe. (4) The precipitation was decreasing from west to east in space, and the temperature showed the morphological distribution characteristics of of low in the middle but high on both sides. (5) The change of temperature were more sensitive than precipitation, the precipitation in Central Asia was inversely correlated with other districts, however, there was a high positive correlation between temperature in all districts. The inversely correlation between temperature and precipitation was the most significant in Central Asia.


2021 ◽  
Author(s):  
Mariam Elizbarashvili ◽  
Magda Tsintsadze ◽  
Tsezari Mshvenieradze

2020 ◽  
Author(s):  
Xin-Gang Dai ◽  
Ping Wang

<p>This study aims to develop a large-scale climate classification for investigating the mechanisms of global climate formation in the surface. There are three types of large-scale climates, i.e., monsoon, Mediterranean and westerlies, corresponding respectively to collocation of temperature and precipitation at in-phase, anti-phase and out of phase, during seasonal cycle. The first one is called proper collocation, and the latter two are named as improper collocation, hereafter. The collocations are coupled with different seasonal moisture transport pattern with moisture divergence. Northward/southward moisture transport accompanies a moisture convergence/divergence with more/less precipitation in the season leading to different climate type. As an example, the climate around Tibetan Plateau can be attributed to four regimes, i.e., East Asia monsoon, South Asia monsoon, Central Asia and westerlies regimes, despite of the Köppen climate classification. The Central Asia regime refers to the dry climate in middle and southern part of the area, while the dry land belt with the westerlies regime extends from northern Central Asia throughout the northwestern China. The proper collocation between temperature and precipitation leads to a warm-wet climate over monsoon zones in warm season (May-October), whereas the improper one leads a hot-dry climate in Mediterranean climate areas and the dry land with the westerlies climate regime. By contrast, a mild-wet climate is in Mediterranean or quasi-Mediterranean climate areas in comparison with cold-dry climate in Asian monsoon zone during cold season (November to April). The improper collocation results in land degradation or even desertification in Mediterranean climate areas and the dry land with the westerlies regime with insufficient precipitation and over-evenly distribution of the precipitation during seasonal cycle. The improper collocation is actually made by improper dynamical and thermal dynamical collocation in regional moisture circulation associated with seasonal change of mid-latitude stationary waves in wave number and phase, which is virtually forced by large mountains and land-sea thermal contrast in the surface. Besides, analysis manifests that there exists mutually engagement between the seasonal changes in some properties of the mean moisture flows over monsoon and non-monsoon areas across Tibetan Plateau in Eurasian continent. It implies a dynamical coupling existed in large-scale moisture patterns over the earth surface.</p><p>Keywords: Large-scale climate classification, monsoon, westerlies, Mediterranean climate, Tibetan Plateau</p>


2019 ◽  
Author(s):  
Tao Wang ◽  
Ting-Yong LI ◽  
Jian Zhang ◽  
Yao Wu ◽  
Chao-Jun Chen ◽  
...  

Abstract. Siberia and Central Asia are located at mid- to high latitudes and encompass a large landlocked area of the Eurasian continent containing vast tracts of permafrost (seasonal permafrost and permafrost), which is extremely sensitive to global climate change. However, previous research has scarcely investigated the changes in the paleoclimate in this region. Similarly, the temporal and spatial distributions of the stable isotopic composition (δ18OP) of precipitation and its corresponding influencing factors remain largely unknown. Therefore, we used data from 15 Global Network of Isotopes in Precipitation (GNIP) stations to investigate the relationships between δ18OP and the local temperature and precipitation considering changes in atmospheric circulation. Analyses conducted on the monthly, seasonal and annual timescales led to three main conclusions. (1) At the monthly timescale, the variations in δ18OP exhibited a significant positive correlation with the monthly mean temperature (p 


2018 ◽  
Vol 206 ◽  
pp. 87-107 ◽  
Author(s):  
Tugba Ozturk ◽  
M. Tufan Turp ◽  
Murat Türkeş ◽  
M. Levent Kurnaz

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