discuss spatiotemporal distribution of temperature and rainfall in ethiopia

It builds on, among others, on the recommendations of the IPCC Fifth Assessment Report, but a substantial amount of information that became available afterwards has also been included.While this study is not meant to be a comprehensive overview of all aspects of climate change impact on the RMs economy it does reflect the breadth and depth of researches that had been done in the RM to date, and it provides a link between a global phenomenon and the sectors development issues facing the country. Thus, the rainfall system in Ethiopia is characterized by spatial and temporal variabilities. Therefore, the consecutive occurrence of frequent tropical depression over the South West Indian Ocean (SWIO) overlapped with the recurrent drought of Ethiopia (1972 and 1984). The PCI was used as an indicator of concentration and variability of rainfall was obtained as follows (, The trends derived from the MannKendall (S) statistic test are used to detect normalized, These test statistics represent the difference between positive and negative difference. The rainfall and temperature daily records over 35 years (19802014) for the Beressa watershed were obtained from the National Meteorological Service Agency of Ethiopia from seven stations; hence rainfall on a monthly, seasonal and annual basis were derived from the daily data. The wetness of this region is particularly due to the prepotency of moist aircurrents of equatorial Westerlies called the Guinea Monsoons. The rate and variability of increasing temperature have dramatically increased, making it more difficult for local communities to foresee the intensity and magnitude of temperature even for the next few years. Trends are biased positive in the interior western US, so that strong RH decreases are changed to weak decreases, and weak decreases are changed to increases. During these seasons, rainfall is more highly variable than the main rainy season of the area. The focus of this research is to introduce the application of the polynomial neural network of the group method of data handling (GMDH) for the first time in the regional area of the New South Wales state of Australia. The watershed forms part of the northern central highlands of Ethiopia, which is part of the Abay basin. 2014; Mondal et al. Even though the rainfall indicates seasonal and inter-annual variability, the area is characterized by a bimodal rainfall regime, with maximum rainfall concentration during kiremit (summer) season, which extends from June to September. During this time, thecentral highlands, southeastern highlands and lowlands receives rainfall as the south easterliesbring moist winds. 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. NB: Kiremit: Summer; Belg: Spring; Bega: winter. 2016). Global warming has become the greatest barrier to achieving the Millennium Development Goal with respect to decreasing food insecurity. The south-easterlies bring rainfall from the IndianOcean. 2013; Irannezhad et al. Therefore, it is pertinent for decision-makers to develop suitable adaptation and mitigating measures to combat climate change in the Basin. This is because the temperature and the amount of energy reaching the surface isdirectly related with the directness of the sun.The direction of rain bearing winds (leeward or windward side) also determines the temperaturevariations in mountainous regions. The future climate also shows a continuing positive trend in the temperature extreme indices as well as more frequent extreme rainfall events. The magnitude of significant decreasing trend was observed in HG station (at 8.62 mm/year and 27.88%). Mean annual minimum and maximum temperatures increased from 12.69 to 13.32 C and 26.43 to 26.91 C from 1981 to 2010, respectively. They are limited to the lowlands in the peripheries.Away from the peripheries the land begins to rise gradually and considerably, culminating inpeaks in various parts of the country. 2013; Pingale et al. 2015; Pingale et al. During the winter season, the Redsea escarpments and some parts of the Afar region receive their main rain. 2005; Batisani & Yarnal 2010; Randell & Gray 2016). (2016), overall in the last 35-year period, the five years moving average of the long-term average annual rainfall shows a slight variation (Figure2). 2015). Water harvesting and integrated water resources management: In order to reduce the vulnerabilities of rural communities that arise from spatiotemporal water shortages and rainfall variability, rainwater harvesting has significant benefits. 2008; Subash et al. 2011). Saving institutions: Promoting the habit of saving can help guarantee that farm communities deal with climate variability; household income per-head determines how far the communities can cope with climatic variability and shocks. Barley, wheat, horse beans, field peas, lentils and chickpeas are commonly grown crops. Our study provides a novel overview of expected climate trends in Zambia, which can act as guidelines for strategic planning of flood and drought prevention. Significantly, the increasing long-term annual minimum and maximum temperature during the study periods indicates that it is more likely this would contribute to the increase of mean annual temperature. Conversely, low flow conditions will intensify during the warm months. The annual minimum temperature had a significantly increasing trend with the value varying from 0.005 C/year and 1.90% in GIN station to 0.12 C/year and 52.40% in the DBS station. Therefore, there were no gaps in the data series. Tmean, the mean annual temperature; Tmin, minimum annual temperature; Tmax, maximum annual temperature. Rainfall registered annually shows weak correlation with crop production. The minimum temperature has a higher correlation with crop production and a stronger correlation between crops and maximum temperature. The monthly rainfall data are for 132 points of 10 10 km grids reconstructed from weather stations and meteorological satellite observations, which cover the period between 1983 and 2013. 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. Many countries of the world, particularly sub-Saharan African countries, are already affected by the variability of climatic conditions (Conway & Schipper 2011; Klve et al. Therefore, community-based soil and water conservation practices help the communities to diversify their livelihood activities. doi: https://doi.org/10.2166/wcc.2018.064. Notably, there is a significant increase in the maximum number of consecutive dry days and significant decreases in the number of days with at least 1 and 10 mm of precipitation. Based on these observations, the rainfall pattern and distribution of the area could be classified as irregular and erratic distribution. 2012; Fazzini et al. Adaptation strategies are not limited to the current weather conditions (single season rainfall and temperature), rather they extend to the need for communities to adapt to prolonged climatic variability over time (Cooper et al. contribution of working group I to the third assessment report of the intergovernmental panel on climate change, Techniques of trend analysis for monthly water quality data, Global warming and African climate change: a reassessment, Long-term variations and trends in precipitation in Finland, Theory and practice in assessing vulnerability to climate change and facilitating adaptation, The value of large-scale climate variables in climate change assessment: the case of Botswana's rainfall, Precipitation climatology over India: validation with observations and reanalysis datasets and spatial trends, Climate change impacts on groundwater and dependent ecosystems, Downscaled climate change projections with uncertainty assessment over India using a high resolution multi-model approach, Precipitation variability in Northeast China from 1961 to 2008, Adapting cropping systems to climate change in Nepal: a cross-regional study of farmers perception and practices, The UNDP Climate Change Country Profiles: improving the accessibility of observed and projected climate information for studies of climate change in developing countries, Trends in daily observed temperature and precipitation extremes over three Ethiopian eco-environments, http://agris.fao.org/agris-search/search.do?recordID=ET2009000029, Analyses of land use and land cover change dynamics using GIS and remote sensing during 1984 and 2015 in the Beressa Watershed Northern Central Highland of Ethiopia, Contrasting climate variability and meteorological drought with perceived drought and climate change in northern Ethiopia, Using the seasonal and temporal precipitation concentration index for characterizing the monthly rainfall distribution in Spain, Spatial and temporal analysis of rainfall and temperature trend of India, Spatio-temporal trend analysis of precipitation data over Rwanda, Monthly precipitation distribution: a comparative index, Trend analysis in Turkish precipitation data, Spatial and temporal trends of mean and extreme rainfall and temperature for the 33 urban centers of the arid and semi-arid state of Rajasthan, India, Trend analysis of climatic variables in an arid and semi-arid region of the Ajmer District, Rajasthan, India, Climate variability and educational attainment: evidence from rural Ethiopia, An assessment of the potential impact of climate change on flood risk in Mumbai, Assessment of statistical characteristics of point rainfall in the Onkaparinga catchment in South Australia, Assessment of trends in point rainfall using Continuous Wavelet Transforms, Rainfall variability in the Ethiopian and Eritrean highlands and its links with the Southern Oscillation Index, Recent changes in rainfall and rainy days in Ethiopia, Building climate resilience in the Blue Nile/Abay Highlands: a framework for action, Changes in rainfall and relative humidity in river basins in northwest and central India, An investigation into observational characteristics of rainfall and temperature in Central Northeast India a historical perspective 18892008, Long-term historic changes in climatic variables of Betwa Basin, India, Modeling runoffsediment response to land use/land cover changes using integrated GIS and SWAT model in the Beressa watershed, Household level tree planting and its implication for environmental conservation in the Beressa Watershed of Ethiopia, Spatiotemporal analysis of precipitation trends under climate change in the upper reach of Mekong River basin, Long-term trend analysis for major climate variables in the Yellow River basin, Spatial analysis of monthly and annual precipitation trends in Turkey, Power of the MannKendall and Spearman's rho tests for detecting monotonic trends in hydrological series, Canadian streamflow trend detection: impacts of serial and cross-correlation, Analysis of precipitation characteristics during 19572012 in the semi-arid Loess Plateau, China, Uniform distribution of precipitation (lLow concentration), Moderate distribution of precipitation (moderate concentration), Strong irregularity of precipitation distribution, Republic Export Building,Units 1.04 & 1.05. 2016). Search for other works by this author on: Journal of Water and Climate Change (2019) 10 (4): 799817. The magnitude of increasing trend during the belg season was found to be 0.40 mm/year and 30.00% in DB station and a significantly decreasing trend was found to be 0.12 mm/year and 10.00 in GIN station. The periodic pattern of rainfall is manifested by the changing of dry as well as wet years. Autumn and Spring rainfall regionsThe region comprises areas receiving rain following the influence of southeasterly winds. Additionally, studies of rainfall and temperature variations in larger areas would in general be of little use for local level agricultural production (Gebre et al. The trend of increasing maximum temperature is stronger than the minimum temperature. The Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) products were used to analyze drought patterns and severity in Ethiopia's 14 homogenous rainfall zones using CHIRPS satellite rainfall data. Increase of Extreme Drought over Ethiopia under Climate Warming, Trend Analysis of Hydroclimatic Historical Data and Future Scenarios of Climate Extreme Indices over Mono River Basin in West Africa, Temperature Projections over the Indus River Basin of Pakistan Using Statistical Downscaling, Trend and Sensitivity Analysis of Reference Evapotranspiration in the Senegal River Basin Using NASA Meteorological Data, Assessment of Climate Change Impact on Reservoir Inflows Using Multi Climate-Models under RCPsThe Case of Mangla Dam in Pakistan, Impact of Climate Change on Water Resources of the Bheri River Basin, Nepal, Analyses of Observed and Anticipated Changes in Extreme Climate Events in the Northwest Himalaya, Climate change impacts on land use in Gadaref and North Kordofan States and future Desert sheep distribution in Sudan, Improving Hydro-Climatic Projections with Bias-Correction in Sahelian Niger Basin, West Africa, Trends and Changes in Recent and Future Penman-Monteith Potential Evapotranspiration in Benin (West Africa), Seasonal Variability of Historical and Projected Future Climate in the Kathmandu Valley, Assessing Future Impacts of Climate Change on Streamflow within the Alabama River Basin, Prediction of Climate Change Effects on Plantain Yield in Ondo State, Nigeria, Improving Hydro-Climatic Projections with Bias-Correction in Sahelian Niger Basin, Estimation of Hydrological Components under Current and Future Climate Scenarios in Guder Catchment, Upper Abbay Basin, Ethiopia, Using the SWAT, Statistical downscaling of global circulation models to assess future climate changes in the Black Volta basin of Ghana, Estimation of the Impact of Climate Change on Water Resources Using a Deterministic Distributed Hydrological Model in Cte dIvoire: Case of the Aghien Lagoon, Climate Change Impact on Flood Frequency and Source Area in Northern Iran under CMIP5 Scenarios, Water Quality Sustainability Evaluation under Uncertainty: A Multi-Scenario Analysis Based on Bayesian Networks, Detection and attribution of seasonal temperature changes in India with climate models in the CMIP5 archive, Statistical analysis of extreme weather events in the Diyala River basin, Iraq, Evaluating the impact of climate change on extreme temperature and precipitation events over the Kashmir Himalaya, Recurrence Spectra of European Temperature in Historical Climate Simulations, Are we using the right fuel to drive hydrological models? For instance, during the years 19811984, the trend of annual rainfall was lower than the mean long-term rainfall, although slight recovery was shown between 1985 and 1986. Spring (March, April and May)In this season, the noonday sun is shining directly on the equator while shifting north from south.The shift of the ITCZ, results in longer days and more direct solar radiation providing warmerweather for the northern world. Therefore, increased sensitivity and vulnerability to food shortages and hence malnutrition are related to a prolonged increase in climatic variability. It is one of the most widely used non-parametric statistical tests to check the trend of randomness against the detection of trends over time (Mann 1945; Kendall 1975). The value of the fixed subset is hence moved forward, in order to create a number of new subsets, known as average. Therefore, in order to reduce the bottleneck for food insecurity in the short-term, long-term coping and adaptation strategies need to be attempted. Assessing the long-term spatiotemporal rainfall distribution pattern is the most significant component in the climate analysis of a given country, more specifically at the local and regional levels where the effect of climate change is worse. For example, months from March to June in Ethiopiahave records of highest temperatures. Therefore, the moving average value is referring not to a single number; rather it shows a set of numbers. For instance, unlikeother parts of Ethiopia, the southern and southwestern highlands experience reducedtemperature. The daily observed rainfall and temperature data at eleven stations were . Generally, as can be seen from Figure3, there has been a high increase in overall temperature, which may result in a decrease in productivity and food insecurity. The guidelines for interpretation are presented in Table1. Conversely, the southeasterlies from the Indian Ocean provide rain to the highlands ofSomalia, and to the central and southeastern lowlands and highlands of Ethiopia. The incidence of negative anomalies occurred during the 1980s and 1990s (14 from 16 years rainfall). The region is divided in to dry and wet summer rainfall regions.Hence, the wet corresponds to the area having rainfall of 1,000 mm or more. Warning: file(roboty.txt): failed to open stream: No such file or directory in /home/kmichalski/domains/mikatextiles.com/public_html/ustawienia/init.php on line 0 . The principal sources of uncertainty for the indicators and modelling results are discussed and, where appropriate, reflected in the assessments. Controlled grazing: Intensive, permanent and continuous grazing facilitate erosion and loss of fertile soil, resulting in low productivity and further shortages of grazing land. At the annual scale, maximum and minimum temperatures significantly increased in over 33% of the Basin at a rate of 0.1 and 0.15 C per decade, respectively; however, the western part (12%) of. Geography: Definition, Scope and Themes, 1.2. **10% level of significant. 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 . Therefore, saving provides insurance at times of climatic hazard and is used to overcome barriers to adaptation and increase the degree of resilience. Summary statistic of MKs test (Zmk), Sen's Slope estimator () and change in % of annual and seasonal rainfall (19802014). Summary statistic of MKs test (Zmk), Sen's Slope estimator () and change in % change of mean annual, annual minimum and annual maximum temperature (19802014). rainfall, temperature and evaporation) which would have a considerable impact on crop productivity, water resources and the overall assets of the community (Worku et al. The percentage changes in maximum temperature were found to be at a minimum (4.00%) and maximum (37.60%) in the GIN and ENW stations respectively. The details of these stations have already been presented in Table2. In line with Rashid et al. Cattle and sheep are the dominant types of livestock, but goats, horses, and chickens are also common in the area. Fine-scale hydrological simulations driven by the global model results should reproduce these trends. seasonal, mean annual rainfall including the mean, minimum and maximum temperature spatiotemporal trend as well as its impacts on crop production at the Beressa watershed from 19802014 (35 years). The mean annual rainfall of the basin spatially varies from 417 to 1012 mm, with a noticeable temporal variation at a monthly time scale. The production of wheat was less than 18 years mean in eight years out of 18 production periods, whereas barley crop production was lower than 18 years mean in nine years out of the total 18 years of kiremit rainfall. 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. The MK test statistic (Zmk) of the annual rainfall trend analysis is statistically significant in only two out of seven stations (one station at 5% and one at 10% level of significance), and in three stations the annual rainfall showed a decreasing trend while in four stations the trend was increasing. To achieve this objective, long-term historical monthly rainfall and temperature data were recorded and analyzed for more than 100 years (1900-2016). To encompass the system, it needs an understanding of the position of Inter Tropical Convergence Zone (ITC), pressure cells, and Trade Winds. For the kiremit (summer season), the main rainfall source is the northward oscillation of ITCZ and the development of high-pressure systems along the southern Atlantic as well as South Indian Oceans. In Ethiopia, as in allplaces in the tropics, the air is frost free and changes in solar angles are small making intensesolar radiation. 1.1. The exact position of the ITCZchanges over the course of the year, oscillating across the equator. The result could downplay the effects of decreasing RH on plants and wildfire. Here, the frequency and intensity of extreme precipitation over Zambia are analysed for the period 20212100 using an ensemble of 5 CMIP5 models from those recommended by the Intergovernmental Panel on Climate Change (IPCC). In order to correct change points in the time historical series, the Adapted Caussinus Mestre Algorithm for homogenising Networks of Temperature series homogeneity test is used. Correlation between crop production, and rainfall and temperature (19972014). Such studies ignored the localized trends of rainfall and temperature, particularly in most highlands of Ethiopia. Therefore, the interannual rainfall distribution was very erratic. Coping strategies are developed from the long experience communities have had in dealing with the variability of weather conditions in different seasons. This study assessed the historical (1983-2005) and future (2026-2100) rainfall, maximum temperature (Tmax), and minimum temperature (Tmin) trends of the Ziway Lake Basin (Ethiopia). Climatic variability in the past has been increasing and from the trends suggested in different studies, may further increase in the near future, putting urgent emphasis on how the community perceives the extent of climate change in order to design coping and adaptation strategies (Belay et al. 2014; Kishore et al. The significant increasing trend of mean annual temperature (Table4) was found in all stations; with the trend magnitude varying from 0.03 to 0.14 C/year respectively. Therefore, depending on the historical trend of rainfall variability and prolonged temperature increase, appropriate coping and adaptation strategies need to be encouraged. Vulnerability Assessment and Climate Change Impacts in the Republic of Moldova: Researches, Studies, Solutions / Lilia Taranu, Dumitru Deveatii, Lidia Trescilo [et al.] 2018 May 30;190(6):368. doi: 10.1007/s10661-018 . Specifically, we examine and evaluate multi-model, multi-scenario climate change projections and seven extreme temperature and precipitation indices over the eastern Himalaya (EH) and western Himalaya-Karakoram (WH) regions for the 21st century. Fluctuating productivity and hence food insecurity for the area is due to long-term variability in the annual and seasonal rainfall. In Ethiopia, traveling from one area to another can mean shifting from 60 degrees Fahrenheit (15 degrees Celsius) to 95 degrees Fahrenheit (35 degrees Celsius) in a matter of hours. 2005). The focus of this study is to investigate the spatiotemporal variability and trends in rainfall and temperature in Alwero watershed in the western part of Ethiopia using a dense network of 4 4 km gridded data (558 points) reconstructed from weather stations and meteorological satellite records which spatially covers the watershed. 2016). The monthly maximum and minimum temperatures are for the same points and girds, but cover the period 1981-2011. The findings of the study indicate that there have been significant rainfall fluctuations. Management of grazing land, such as through cut and carry feeding systems, can help to mitigate and adapt to climate change and variability. The majorcontrols determining its distributions are latitude and cloud cover. It has been predicted that climate change decreases the GDP growth of the country by between 0.5 and 2.5% in each year unless climatic shock and variability resilient mechanisms are considered (McSweeney et al. Following the directness of the Sun inMarch and September around the equator, the ITCZ shifts towards equator. During this season, the south easterliesfrom Indian ocean showers the lowlands in southeastern part of Ethiopia.iii. In addition, using improved fuel saving stoves and creating alternative sources of income such as beehive activities and other off-farm income will help communities adapt. According to climate models applied by various researchers, it has been found that Ethiopia will see additional warming in all seasons of 0.72.3 C by the 2020s and 1.42.9 C by the 2050s and the timing, concentration, intensity, duration, and volume of rainfall will vary over entire parts of the country (Conway & Schipper 2011; Simane et al. Even though some recovery did emerge in the years 1988, 1992 and 1996, until the year 1998 the long-term annual rainfall was lower than the mean. The spatial distribution of temperature in Ethiopia is primarily determined by altitude andlatitude. Global climate models predict relative humidity (RH) in the western US will decrease at a rate of about 0.1 0.6 percentage points per decade, albeit with seasonal differences (most drying in spring and summer), geographical variability (greater declines in the interior), stronger reductions for greater anthropogenic radiative forcing, and notable spread among the models. The average rainfall inthe region varies from 1,400 to over 2,200 mm/year.iii. The belg (spring) season manifested by a short rainy season covers three months (MarchMay) and the dry season known as bega (winter) runs from October to February. (2011), rainfall dependent agriculture, particularly in developing countries, is highly susceptible and vulnerable to increases in temperature and hence the decrease in rainfall adversely affects crop production. After total observation of the 35-year period, a record 16 years (45.7%) were lower than the total annual rainfall of the area. 2012). 2013). Mean annual temperature varies from over 30 0Cin the tropicallowlands to less than 100c at very high altitudes.The Bale Mountains are among highlands where lowest mean annual temperatures are recorded.The highest mean maximum temperature in the country is recorded in the Afar Depression.Moreover, lowlands of north-western, western and south-eastern Ethiopian experiences meanmaximum temperatures of more than 300C.Environmental influences have their own traditional expressions in Ethiopia and there are localterms denoting temperature zones as shown in the table below: The temporal distribution of Ethiopian temperature is characterized by extremes. 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. Academia.edu no longer supports Internet Explorer. Therefore, appropriate adaptation and mitigation strategies have to be included in the development agenda to reverse the trend. The temporal variabilities of rainfall are characterized by;i. Enter the email address you signed up with and we'll email you a reset link. The results of bega rainfall trends revealed a significantly decreasing trend in four out of seven stations. Finally, Pearson correlation analysis between climatic variables and crop production was analysed. 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. 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. Kiremit season rainfall revealed a significantly increasing trend of about 1.62 mm/year and 31.79% at DB station and the magnitude of significantly decreasing trend was 0.90 mm/year and 16.20% at SD station. Spatiotemporal Distribution of Rainfall Rainfall system in Ethiopia is characterized by complexities. In nearly all cases the risk of rejecting the null hypothesis H0 when it is true is lower than 1%. In line with the study by Wu et al. During this season, Northeasterly windsoriginating from the landmass of Asia dominantly prevail Ethiopian landmass. The annual minimum and maximum rainfall is 698.5 and 1083.3 mm, respectively. Time series of all MMA precipitation indices exhibit significant increasing trends over the 19012099 period. Besides the high level of temperature variability, the overall average temperature of the area has significantly increased throughout the years. Global warming is a significant global environmental problem in the 21st century. From all these five-year moving averages, long-term seasonal rainfall apart from in the bega season showed a positive trend during the 35-year period. Journal of Water and Climate Change 1 December 2019; 10 (4): 799817. **10% level of significance. . 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. Significant rainfall fluctuations trends of rainfall variability and prolonged temperature increase, appropriate coping and strategies... 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The rainfall pattern and distribution of temperature in Ethiopia is characterized by ; i hypothesis H0 when is! 1980S and 1990s ( 14 from 16 years rainfall ) the effects of decreasing on! Scope and Themes, 1.2 the variability of weather conditions in different seasons cases the risk of the. ; i, Scope and Themes, 1.2 practices help the communities to diversify their livelihood activities monthly and... Frequent extreme rainfall events no gaps in the area the magnitude of significant decreasing trend in four out seven! The mean annual temperature such studies ignored the localized trends of rainfall characterized... The details of these stations have already been presented in Table2 the southern and southwestern highlands reducedtemperature. That there have been significant rainfall fluctuations the variability of weather conditions in different seasons Scope and Themes,.. Majorcontrols determining its distributions are latitude and cloud cover by the changing of dry as well more. Southeastern highlands and lowlands receives rainfall as the south easterliesbring moist winds in seasons... Redsea escarpments and some parts of the ITCZchanges over the course of the area season showed a positive during... Inmarch and September around the equator and girds, but goats, horses, and and. Ethiopiahave records of highest temperatures by Wu et al and seasonal rainfall apart from in the,... The indicators and modelling results are discussed and, where appropriate, reflected in the.... Line with the variability of weather conditions in different seasons the dominant types of livestock but... 100 years ( 1900-2016 ) a positive trend in the area are developed from the landmass of dominantly. 1980S and 1990s ( 14 from 16 years rainfall ) the spatial distribution of rainfall are characterized ;. Order to reduce the bottleneck for food insecurity for the same points girds... The 35-year period rainfall distribution was very erratic vulnerability to food shortages and hence food insecurity for the.. Is more highly variable than the minimum temperature has a higher correlation with crop production and a correlation. Limited by short-term and long-term time series available for most parts of the area is due to the prepotency moist... By this author on: Journal of Water and climate Change ( 2019 ) 10 ( 4 ) failed! And chickens are also common in the data series bega rainfall trends revealed significantly...

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