Precipitation Trend Analysis for Central Eastern Germany 1851–2006

2009 ◽  
pp. 29-38 ◽  
Author(s):  
S. Hänsel ◽  
S. Petzold ◽  
J. Matschullat
Keyword(s):  
Trend Analysis ◽  
Precipitation Trend ◽  
Eastern Germany ◽  
Central Eastern

scholarly journals Trends in the Maximum, Mean, and Low Flows of Turkish Rivers

2005 ◽  
Vol 6 (3) ◽  
pp. 280-290 ◽  
Author(s):  
H. K. Cigizoglu ◽  
M. Bayazit ◽  
B. Önöz
Keyword(s):  
Trend Analysis ◽  
Kendall Test ◽  
T Test ◽  
Precipitation Trend ◽  
Annual Maximum ◽  
Low Flows ◽  
Time Period ◽  
Southern Turkey ◽  
The Mean ◽  
Maximum Flows

Abstract In this study the existence of trend in maximum, mean, and low flows of Turkish rivers has been investigated. The data consisted of the daily mean flows of nearly 100 flow stations in 24 hydrological regions of Turkey. Trend analysis has been carried out using the parametric t test and nonparametric τ (Mann–Kendall) test. Both tests have been applied to annual maximum, mean, 1-day, and 7-day low flows. Trend existence was detected in the majority of rivers in western and southern Turkey and in some parts of central and eastern Turkey. Trends in mean and low flows were more common compared with maximum flows. Except at a few stations, flows showed a decreasing trend. In the time period of the last 30–60 yr, statistically significant decrease was found especially in the mean and low flows (and in some of the maximum flows) in western, central, and southern parts of Turkey. Such trends were not observed in other regions. These results are in agreement with those of the precipitation trend studies in Turkey.

scholarly journals Precipitation trend analysis of Sindh River basin, India, from 102-year record (1901-2002)

2015 ◽  
Vol 17 (1) ◽  
pp. 71-77 ◽  
Author(s):  
Sarita Gajbhiye ◽  
Chandrashekhar Meshram ◽  
Sudhir Kumar Singh ◽  
Prashant K. Srivastava ◽  
Tanvir Islam
Keyword(s):  
Trend Analysis ◽  
River Basin ◽  
Precipitation Trend

Okruchy starożytności. Użytkowanie monet antycznych w Europie Środkowej, Wschodniej i Północnej w średniowieczu i w okresie nowożytnym

2020 ◽  
Keyword(s):  
Czech Republic ◽  
Middle Ages ◽  
18Th Century ◽  
Northern Europe ◽  
Baltic States ◽  
The Czech Republic ◽  
Eastern Germany ◽  
Modern Period ◽  
Central Eastern ◽  
Written Sources

Ancient coinage (understood here as pre-AD 6th century Greek, Celtic and Roman issues) constitutes a small percentage of hoards and other assemblages found in Central, Eastern and Northern Europe, dated to the Middle Ages and to the modern period. Ancient coins have also been recorded at other sites in contexts dated to the same time, such as burial or settlement sites. Finds sometimes include pierced coins, which suggests they may have been used as amulets or jewellery. The book contains the texts written by researchers from Poland, Germany, the Czech Republic, Sweden and Denmark. The aim of their studies of the archaeological, numismatic and written sources was to examine the use of ancient coins in the territories of present-day Poland, Baltic States, western Russia, Belarus, Ukraine, Slovakia, the Czech Republic, eastern Germany and Scandinavia in a period spanning from approximately 7th century to the turn of the 18th century.

Regional precipitation trend analysis at the Langat River Basin, Selangor, Malaysia

2013 ◽  
Vol 117 (3-4) ◽  
pp. 589-606 ◽  
Author(s):  
Narges Palizdan ◽  
Yashar Falamarzi ◽  
Yuk Feng Huang ◽  
Teang Shui Lee ◽  
Abdul Halim Ghazali
Keyword(s):  
Trend Analysis ◽  
River Basin ◽  
Precipitation Trend ◽  
Langat River

scholarly journals Trend Analysis of Rainfall in Prakasam District of Andhra Pradesh State in India

2020 ◽  
pp. 103-110
Author(s):  
M. Satya Swarupa Rani ◽  
R. Asha ◽  
G. M. V. Prasadarao
Keyword(s):  
Trend Analysis ◽  
Crop Production ◽  
Monsoon Season ◽  
Winter Season ◽  
Vital Role ◽  
Precipitation Trend ◽  
Large Variability ◽  
Cropping Patterns ◽  
Climate Analysis

Globally, precipitation trend analysis in different space and time has great impact on crop-planning activities. To get accurate unbiased results a long-term climate analysis of a particular area required in large variability in both spatially, temporally. For sustainable crop production long term weather analysis act as vital role in alternation of existing cropping patterns. This study aimed at analysing the trend of rainfall events in Prakasam district of Andhra state of India the data consists of annual precipitation time series from 1991-2019. Initially study concerns with analysis of data base using descriptive statistics, later trend change was detected by using non parametric tests. The results indicate an increased trend in June and monsoon season, with a decreased trend in July and winter season at 5% level of significance.

scholarly journals The Innovative Polygon Trend Analysis (IPTA) as a Simple Qualitative Method to Detect Changes in Environment—Example Detecting Trends of the Total Monthly Precipitation in Semiarid Area

2021 ◽  
Vol 13 (22) ◽  
pp. 12674
Author(s):  
Mohammed Achite ◽  
Gokmen Ceribasi ◽  
Ahmet Iyad Ceyhunlu ◽  
Andrzej Wałęga ◽  
Tommaso Caloiero
Keyword(s):  
Climate Change ◽  
Risk Management ◽  
Standard Deviation ◽  
Trend Analysis ◽  
Arithmetic Mean ◽  
Drought Risk ◽  
Monthly Precipitation ◽  
Precipitation Trend ◽  
Precipitation Data ◽  
Monthly Total Precipitation

Precipitation is a crucial component of the water cycle, and its unpredictability may dramatically influence agriculture, ecosystems, and water resource management. On the other hand, climate variability has caused water scarcity in many countries in recent years. Therefore, it is extremely important to analyze future changes of precipitation data in countries facing climate change. In this study, the Innovative Polygon Trend Analysis (IPTA) method was applied for precipitation trend detection at seven stations located in the Wadi Sly basin, in Algeria, during a 50-year period (1968–2018). In particular, the IPTA method was applied separately for both arithmetic mean and standard deviation. Additionally, results from the IPTA method were compared to the results of trend analysis based on the Mann–Kendall test and the Sen’s slope estimator. For the different stations, the first results showed that there is no regular polygon in the IPTA graphics, thus indicating that precipitation data varies by years. As an example, IPTA result plots of both the arithmetic mean and standard deviation data for the Saadia station consist of many polygons. This result means that the monthly total precipitation data is not constant and the data is unstable. In any case, the application of the IPTA method showed different trend behaviors, with a precipitation increase in some stations and decrease in others. This increasing and decreasing variability emerges from climate change. IPTA results point to a greater focus on flood risk management in severe seasons and drought risk management in transitional seasons across the Wadi Sly basin. When comparing the results of trend analysis from the IPTA method and the rest of the analyzed tests, good agreement was shown between all methods. This shows that the IPTA method can be used for preliminary analysis trends of monthly precipitation.

scholarly journals Space-time variability of evapotranspiration and precipitation in the State of Paraná, Brazil

2017 ◽  
Vol 12 (5) ◽  
pp. 743 ◽  
Author(s):  
Lucas Da Costa Santos ◽  
Jefferson Vieira José ◽  
Daniel Soares Alves ◽  
Pablo Ricardo Nitsche ◽  
Elton Fialho dos Reis ◽  
...  
Keyword(s):  
Trend Analysis ◽  
The State ◽  
Time Variability ◽  
Precipitation Trend ◽  
South Central ◽  
Significant Downward Trend ◽  
Central Regions ◽  
Geostatistical Techniques

Long-term changes in important weather variables such as evapotranspiration (ET) and precipitation are expected as a response to climate change. These changes may require adjustments to current strategies of planning and management of water resources. The objective of this work was to conduct a spatiotemporal characterization of evapotranspiration in the State of Paraná, Brazil, including in this approach a temporal trend analysis. A similar analysis was also conducted for precipitation. Thus, the historical data (1980-2010) from 33 weather stations were analyzed. The spatial distribution of the data was carried out by geostatistical techniques (ordinary kriging) and the trend analysis by the tests Mann-Kendall and Sen. According to the results, evapotranspiration increases from the coast to the interior of the state, with the highest values in the northeast and northwest regions, reaching levels of about 1200 mm yr-1. The temporal variability of the ET presented a significant upward trend in 12% of the locations, with increases from 2.5 to 7.0 mm yr-1. Precipitation was higher in the coastal and south-central regions and the lowest amounts were identified in the northeast and northwest regions. The precipitation trend analysis indicated a significant downward trend in precipitation volume of five locations. The evapotranspiration and precipitation showed, in general, no statistically significant trends in most of the stations analyzed; however, the upward trends for ET and downward trends for precipitation indicate local changes in the State of Paraná.

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