2013). However, studies focusing on Zambia are still limited and future climate variability is poorly understood. The correlation between rainfall during the months of MaySeptember and crops has a positive relationship, except in the cases of beans, peas and chickpeas, which are inversely correlated with rainfall during the month of June. The MannKendall test results showed that the annual and seasonal rainfall trend was highly variable. Most of the studies about rainfall and temperature characteristics are limited by short-term and long-term time series available for most parts of the regions. Seasonal analysis of rainfall obtained from MK test statistic results are presented in Table3. Mainly, the regional topography and seasonal evolution of the large-scale circulation determined the geographical distribution of rainfall in Ethiopia (Diro et al., 2011).Global and regional change of the weather systems and the topographic variation together with the seasonal cycles are reason or major cause for the spatial variability of . The results from the coefficient of variations shown in Table2 revealed that in comparison with the kiremit rainfall season, during the bega and belg seasons rainfall varies considerably more. Crop production showed high correlation with belg and kiremit rainfall; only annual rainfall and barley crops showed stronger correlation. Extreme precipitation and streamflow events are expected to become more frequent. Although there is a positive trend in the annual total rainfall, the number of consecutive wet (dry) days decreases (increases). Another study by Di Falco et al. The most common types of soil are Cambisols (locally called Abolse), Vertisols (Merere), Andosols, Fluvisols and Regosols. Five years moving average rainfall (19802014). 2013; Irannezhad et al. As shown in Figure2, during the period 19802014 the seasonal rainfall trend of the Beressa watershed for the kiremit season shows less rainfall variability throughout the study periods. The moving average is possibly acquired by considering the initial subset average. The present results are in agreement with Parry (2007), who stated that due to a prolonged increase in the emission of gases through human activities and expansion of industry, the surface temperature has increased by about 1 C. The possible reason may be monthly, sub-monthly time scale, temporal and spatial distribution of rainfall and temperature, which are determinant factors of production. 2005; Batisani & Yarnal 2010; Randell & Gray 2016). This is probably due to the fluctuation and variability of the seasonal and inter-annual rainfall pattern of the Beressa watershed during the last few decades, as indicated in Table3, which is similar to other studies (Muhire & Ahmed 2015; Zhao et al. A numerical experiment where the values of T dew are altered to compensate for the RH error suggests that eliminating the atmospheric moisture bias could, in and of itself, decrease runoff up to 14 % in high-altitude regions east of the Sierra Nevada and Cascades, and reduce estimated Colorado River runoff at Lees Ferry up to 4 % by the end of the century. Let X1, X2, X3. s u m m a r y Due to global warming the climate of central Chile is expected to experience dramatic changes in the 21st century including declining precipitation, earlier streamflow peaks, and a greater proportion of precipitation falling as rain. For most developing countries of the world, agriculture is the basis of the economy. Over the last three and a half decades, the total annual rainfall of the Beressa watershed has varied from 698.5 to 1,100 mm. The percentage change over a period of time can be obtained from Sen's median slope and mean by assuming the linear trend in the long-term series using the following formula: In statistical terms, the moving average is also known as running average, used in order to explore a set of various data by creating an average value of various subsets for a data set. **10% level of significant. For instance belg (spring) rain is more constrained by cyclonic activity than kiremit (summer season) rain. Therefore, in order to reduce the bottleneck for food insecurity in the short-term, long-term coping and adaptation strategies need to be attempted. (2014), it was concluded that a general tendency of increasing warm temperature, extreme variability and inconsistent precipitation trend was recorded in Ethiopia. (2011), adaptation strategies are an important mechanism for managing climatic change and variability. All crop production shows considerably high correlation with maximum temperature and stronger correlation with barley, while in the case of minimum temperature, poor correlation was observed for all crops. This study assessed the historical (19832005) and future (20262100) rainfall, maximum temperature (Tmax), and minimum temperature (Tmin) trends of the Ziway Lake Basin (Ethiopia). Conversely, the southeasterlies from the Indian Ocean provide rain to the highlands ofSomalia, and to the central and southeastern lowlands and highlands of Ethiopia. Back to Lesson. Tesfa Worku, Deepak Khare, S. K. Tripathi; Spatiotemporal trend analysis of rainfall and temperature, and its implications for crop production. 1.1. During this season, Northeasterly windsoriginating from the landmass of Asia dominantly prevail Ethiopian landmass. You can download the paper by clicking the button above. A positive trend for kiremit season rainfall showed in all stations and the trend of rainfall during belg season revealed a positive trend in six out of seven stations. As already explained. The results of correlation analysis between crop production and climatic variables (rainfall and temperature) during the period 19972014 are shown in Table5. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, Climate Change 2007 Impacts, Adaptation and Vulnerability: Working Group II Contribution to the Fourth Assessment Report of the IPCC, Climate Change 2007 the Physical Science Basis: Working Group I Contribution to the Fourth Assessment Report of the IPCC, IPCC, 2013: Climate Change 2013: the Physical Science Basis. The guidelines for interpretation are presented in Table1. It is shown that the MT-CLIM meteorological algorithms used by the Variable Infiltration Capacity (VIC) hydrological model, when driven by daily T min , T max , and precipitation (a configuration used in numerous published studies), do not preserve the original global model's humidity trends. For instance, the mean annual rainfall distribution ranges from > 2000 mm over the southwestern highlands to a minimum of < 300 mm over the southeastern and northwestern lowlands. Therefore, in order to know the yields, annual rainfall is less important for prediction. According to a report made by the Intergovernmental Panel on Climate Change (Parry 2007; Pachauri et al. Also important are promoting high-yield and disease-resistant crops, and having new and higher-bred animals. Annual and seasonal rainfall and temperature are influenced by the variability of the Intertropical Convergence Zone (ITCZ) which causes interannual rainfall variability over Ethiopia. Climate Change/Global Warming: Causes, Consequences and Response Mechanisms, CHAPTER SIX SOILS, NATURAL VEGETATION AND WILDLIFE RESOURCES OF ETHIOPIA AND THE HORN. 2005). The average rainfall inthe region varies from 1,400 to over 2,200 mm/year.iii. In the observations, warm spell duration, warm day-, and warm night frequencies exhibit statistically significant positive trends. This study presents a largely indicator-based assessment of past and projected climate change, impacts and the associated vulnerabilities of and risks to ecosystems, agriculture, water recourses, forestry, bioclimatic conditions, human health and society in the RM, based on a wide range of observations and different model simulations. Because of the rainfall-dependent farming practice, farmers are always worried about the duration and intensity of rainfall. Density distribution plots of observed climate indices for meteorological stations and gridded indices are also analysed, which indicate significant negative trends in the annual number of frost days and significant increasing trends in warm nights in the EH region over the 19602000 period. Discuss spatiotemporal distribution of temperature and rainfall in Ethiopia. The details of these seven stations are presented in Table2. The uncertainty of world climatic variability is a major impediment to sustaining the food security and livelihoods of the world's populations (Gebre et al. This Fluctuating productivity and hence food insecurity for the area is due to long-term variability in the annual and seasonal rainfall. In nearly all cases the risk of rejecting the null hypothesis H0 when it is true is lower than 1%. 1982; Burn & Elnur 2002; Yue et al. Observed Data pieces of evidence indicated that a detailed study of the spatial and temporal characteristics of rainfall and temperature are very important for agricultural/urban planning (mehmet, 2015 ), flood frequency analysis, water resources assessments, assessing and understanding climate change impacts, and other environmental assessments (alemu, 2019; From Figure3, it is confirmed that the maximum temperature has continuously increased by about 1.10 C, whereas the minimum temperature has increased by about 0.70 C. During the belg (small rainy) season the subdivision indicates a slightly increasing rainfall trend and the bega season (dry season) shows a negative trend, as already presented in Figure2. The area is characterized by diverse topographic conditions such as mountainous and dissected terrain with steep slopes. Autumn (September, October and November)Autumnis the season of the year between summer and winter. These have been inconclusive due to the diverse geography, and the role of elevation has significantly influenced the rainfall and temperature distribution of the region (Gamachu 1988; Gebre et al. The average rainfallvaries from less than 500 to 1,000 mm.iv. Topographic map of the Ziway Lake Basin. By continuing to use our website, you are agreeing to, Journal of Water, Sanitation & Hygiene for Development, Time series trend analysis of temperature and rainfall in lake Tana Sub-basin, Ethiopia, Potential impact of climate change on rainfed agriculture of a semi-arid basin in Jordan, Distribution of the serial correlation coefficient, Evaluation of indices for characterizing the distribution and concentration of precipitation: a case for the region of Southeastern Anatolia Project, Turkey, Evaluation of climate change impacts and adaptation measures for rice cultivation in Northeast Thailand, Potential impacts of a warming climate on water availability in snow-dominated regions, Rainfall variability and trends in semi-arid Botswana: implications for climate change adaptation policy, Analysis of climate trends in North Carolina (19491998), Detection of hydrologic trends and variability, Adaptation to climate change in Africa: challenges and opportunities identified from Ethiopia, Estimating the impact of climate change on agriculture in low-income countries: household level evidence from the Nile Basin, Ethiopia, Decadal climatic variability, trends, and future scenarios for the North China Plain, Observed monthly precipitation trends in China 19512002, Climate change 2001: the scientific basis. 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