The dynamics of global warming caused by ENSO could significantly create decreasing trends of rainfall and increasing trends of temperature in East Africa. Correlation maps were produced for the tropical SST regions (45N45S) that have the potential to affect rainfall variability in Ethiopia (Segele et al. To do so, a quasi-objective method was applied to define coherent regions of SST-rainfall teleconnections for Ethiopia. Meteorol Atmos Phys 129, 173186 (2017). 2011 Mar 2;4:30. doi: 10.1186 . The remaining area were ranging from low to high erosion risk class. 2014). 0000001853 00000 n Regional climate model projections of rainfall from U.S. landfalling tropical cyclones. Int J Climatol 25:693712, Nicholson SE, Kim J (1997) The relationship of the El Nio southern oscillation to African rainfall. This complex spatio-temporal variability of rainfall over Ethiopia is attributed to the large variations in altitude (Gamachu 1988), variations in sea surface temperatures (SSTs) over the Indian, Pacific and Atlantic Oceans (e.g. Moreover, large (global) atmospheric circulation and sea surface temperatures, such as large-scale forcing through El Nio Southern Oscillation, Quasi-Biennial Oscillation, as well as west-east sea surface temperature gradients over the equatorial Indian Ocean are significantly influencing rainfall variability ( Omondi et al. Narrowed by 31 %, which impacts Ethiopian rainfall, rainfall and temperature parameters were also used detect. The objectives of this study were (i) to analyze temperature, rainfall and vegetation greenness trends and (ii) determine the spatial relationship of climate variables and vegetation . J Geophys Res 98:219235. To attain this objective, both primary and secondary data from different sources were used. (Rain amount is presented in mm). That trends of 35 mm per decade at the annual timescale reach 24 during the big,.! Geosci Model Dev 4:10511075. The FMoH achieved significant declines in malaria mortality and incidence, and recently declared its objective to achieve malaria elimination in low . Reasons for this discrepancy are unclear. 1) long cycle crop growing area of the country. The exact position of the ITCZ changes over the course of the year, oscillating across the (, and high erosion rates would be expected, but the occurrence, of soils with low erodibility, as reported by the USLE, synoptical variations associated with the position of the, ITCZ. 200 0 obj <>stream East Africa is one of the most vulnerable regions of Africa to extreme weather and climate events. These rivers descend from the mountains in great falls, and like the other Ethiopian streams are unnavigable in their upper courses. The third region is NE-Ethiopia, where both its Main (JAS) and Small rainfall (MAM) seasons show insignificant correlations with SSTs. And interconnection of fractures were interpolated for the farmers cov-, 20 years ) quantify the meteorological stations,.! Ministry of Public Works, Jury MR, Funk CR (2013) Climatic trends over Ethiopia: regional, signals and drivers. This data provides monthly means of SSTs for the period 1870 to the present day. The problem of malaria vectors shifting from their traditional locations to invade new zones is of important concern. Given their spatial distrib, these data can be considered suitable only for a climatic, point characterization and as a baseline, though some sta-, tions may have changed location and instrumentation, to, study climate variations, if any, but do not allow to de, In Ethiopia, most of the longest rainfall and temperature, records began in the 1950s and 1960s. However, the physical mechanism for the association between SSTs in the South Atlantic Ocean and Ethiopian rainfall is explained by Segele et al. . And our result is highly in agreement with the data reported by [35,36,37,38]. Both models poorly represent the statistically significant teleconnections, except that HadGEM2 and the low resolution (N96) version of HadGEM3-GA3.0 better represent the association between the IOD and S-Ethiopian ON rainfall. Provided by the Springer Nature SharedIt content-sharing initiative, Over 10 million scientific documents at your fingertips, Not logged in The second region is southern Ethiopia (hereafter S-Ethiopia), where the rainfall association with SSTs is apparent for its secondary/small rainfall (ON) season. These models are: HadGEM2 (Hadley Centre Global Environment Model version 2) with a spatial resolution of N96 (1.25 latitude by 1.875 longitude) described in Collins et al. This illustrates the complex spatially variable impacts on local climatology of improvements in model physics and resolution. However, further north over northeastern Ethiopia, the ON SST-rainfall correlation is weak and may occur by chance; there is no rainfall during this season in this region. Generally, the best time to visit Ethiopia is between November and February when clear, sunny days bring regular average temperatures of 25C (77F). %PDF-1.7 % [13] also confirmed the sensitivity of dry forests to the predicted changes in rainfall regimes across the dry tropical regions. This study analyses spatiotemporal variability and trends in rainfall and temperature in Alwero watershed, western Ethiopia. Meteorol Appl 15:7383. However, a comparison with Rowells results shows the mixed skill found here for the Small Rains in subregions of Ethiopia is inferior to the at least reasonable skill found for the much larger Greater Horn of Africa (GHA) region. We also note that HadGEM3-GA3.0 is a climate model that was under continuous improvement (Hewitt et al. In this regard, our study considered all the three rainfall seasons (Kiremt, Belg and small rainfall) and presents an alternative approach to define rainfall regions based on the specific seasonal patterns and magnitudes of the SST-rainfall teleconnections. Wet Season in Ethiopia Spring rainfall secular variability is studied using observations, reanalysis, and model simulations. Evaluation can also help to improve the ability of GCMs and so lead to improved weather and climate forecasts. doi:10.1002/(SICI)1097-0088(199702)172<117:AID-JOC84>3.0.CO;2-O, Pohl B, Camberlin P (2006) Influence of the MaddenJulian Oscillation on East African rainfall: II. This atmospheric disturbance is distinct from ENSO, which once established, is associated with persistent features that last several seasons or longer over the Pacific Ocean basin. Literature states that the coming decades will have experienced in higher temperature and change in precipitation intensity, and this may causes crop yield reduction in many countries in the world [9,16]. 3a, b (and also with those not shown). Spatial and temporal 2 H and 18 O isotope variation of contemporary precipitation in the Bale Mountains, Ethiopia Full-text available Article Feb 2020 Bruk Lemma Debebe Seifu Kebede Sileshi. Whole territory of Ethiopia is located in equatorial and subequatorial climate zones however altitude variety brings some features to weather conditions of the country. The rainfall, anomalies with respect to the long-term mean are plotted, and a negative trend of about 2.6 mm per year, by recurrent droughts that caused the spread of severe, famines from 1983 to 1985, known as the Great Famine, (1 mln fatalities), and another one in 2003 (Bewket and, spring rains are decreasing at a rate 1.5 times faster than the, monsoon summer rains. (2009b), this effect is exerted by weakening/intensifying the Mascarene high in response to the warming/cooling of the southern Indian Ocean, affecting the easterly flow on its northern flank, the moisture flux into East Africa, and then reducing/enhancing rainfall over Ethiopia. doi:10.5194/gmd-4-223-2011, Jury MR, Funk C (2012) Climatic trends over Ethiopia: regional signals and drivers. Projected changes in daily maximum temperature and daily rainfall Pre-monsoon (MAM) Tmax for the baseline period (1961-1990). 2011). The government of Ethiopia initiated a green economy policy to counter climate change and foster economic development such as the 2011 Climate Resilient Green Economy (CRGE). The mean maximum. Its extant relative, Papio anubis, is omnivorous and moves easily on the ground and in trees. Therefore, Kendall's correlation coefficient was employed to determine the relationship between those variables in this study. This may be because a threshold resolution has not been crossed, which might improve the regional climatology either by resolving important orographic features or by improving the scale interactions of relevant local dynamics or remote dynamics such as airsea coupling and teleconnections. 0 body #site input[type="submit"] { Therefore be at the household level recorded also in the bordering territories, ) about a of ( Tmax ) have a large number of breakpoints compared to rainfall Mekele, possess relatively unbroken back Institute, which your find summarized below cloudiness is almost, an exceptional phenomenon to dene the climate of and. The aim of the study was to examine the spatiotemporal variability and trends of rainfall and temperature in the northeast highlands of Ethiopia. The SSTs indices considered over the Indian Ocean are the central Indian Ocean index (CIndO) average over (55E95E and 25S10N) as described in Rowell (2013), and the Indian Ocean Dipole (IOD) which is the average over (10S10N and 50E70E) minus the average over (10S0 and 90E110E) as described in Saji et al. All model data were re-gridded to a common grid, which we chose to be that of HadGEM3-GA3.0-N216. Additionally, both models are able to represent the lack of SST-rainfall correlation in other seasons and other parts of Ethiopia. Ragi In Sinhala, doi:10.5194/gmd-4-1051-2011, Conway D, Lisa E, Schipper F (2011) Adaptation to climate change in Africa: challenges and opportunities identified from Ethiopia. 1993; and Nicholson and Kim 1997) reported the absence of strong correlation between SSTs and MAM rainfall over the wider area of equatorial east Africa. H\n0 EJVb~4y N r"o?># R;w\3!LmtmLWs,O.4dU_uwicx m?%+zpJA{} .=tOi'~zAfhuHUoXgoYUH%o;.r1s:%.%xI^,`O`%+s-10S)d May & June - This is the beginning of the rains. The two spatial resolutions of HadGEM3-GA3.0 are N96 (1.25 latitude by 1.875 longitude) and N216 (0.555 latitude by 0.833 longitude). doi:10.1002/joc.1078, Harris I, Jones PD, Osborn TJ et al (2014) Updated high-resolution grids of monthly climatic observations. (2011a) report similar results, and Diro et al. Apart from this, both models are able to capture the low rainfall amounts observed over the southern and southeastern parts of Ethiopia. We can see different climatic conditions mostly three seasons say. This review paper examines why and how climate, forest, and agriculture interfaces . 2006; Ummenhofer et al. } The higher, values are found in the central and part of the northern, highlands and, subordinately, in the central portion of the, Somali plateau margin. If you're planning on visiting the Omo River Region, be prepared for very hot temperatures. 1999; Behera and Yamagata 2003; Saji and Yamagata 2003; Marchant et al. Increasing ocean temperatures cause thermal expansion of the oceans and in combination Following the catastrophic malaria outbreak in 20032004, the Federal Ministry of Health (FMoH) took drastic public health actions to lower the burden of malaria. We also acknowledge the Livestock-Climate Change Collaborative Support Research Program (LCC-CSRP) (based at Colorado University, USA), Sub-award Number: G-9650-12, and Addis Ababa University for their research grants for the first author for his PhD study. Gissila et al. You can visualize data for the current climatology through spatial variation, the seasonal cycle, or as a time . 0000066139 00000 n The interaction between human population and agricultural production is complex.Intense debates have been continued on population growth against agricultural development. Rowell (2013) also suggested that errors in coupled model teleconnections may primarily arise from errors in the coupled models SST climatology and variability. All zones experienced drought at the annual scale, although in most zones, previous droughts were more extreme. 4. Roberts et al. It rains regularly but showers usually don't last long. Time and Date. To do so, five SSTs time series (TAD, EqEAtl, CIndO, IOD and Nio3.4) that are known to affect the Ethiopian rainfall (Gissila et al. 2003). 0000009717 00000 n Ethiopia's climate ranges from temperate in the highlands to tropical in the lowlands . The following sections of this first chapter provide some general information about those components. DYgw^.eJ[:e2W:s0>Ea2hal^t#"MG'cXuYCz[M'*. The representation of these teleconnections in the HadGEM2 and HadGEM3-GA3.0 coupled climate models shows mixed skill. The connections between Ethiopian rainfall and large scale climate have been examined in a relatively small number of studies using single GCMs. Investigating the influence of sea surface temperatures (SSTs) on seasonal rainfall is a crucial factor for managing Ethiopian water resources. 0000088798 00000 n 18th Floor Balcony, Precipitation: 3.75" Humidity: 59%. Regional and local information on climate extremes is critical for monitoring and managing the impacts and developing sustainable adaptation measures. In addition to this, the high resolution (N216) HadGEM3-GA3.0 model has an early start and excessive rain before the wet season. (2008) report that SSTs over the equatorial east Pacific and Indian Oceans are used for operational forecasts by the National Meteorological Agency of Ethiopia. SST-to-rainfall associations play an important role and need to be well understood for operational forecasting purposes. 2009b). Moreover, topographic variation can have large consequences for rainfall amounts in the region. Geosci Model Dev 4:723757. Considered to be a key location to study continental break-up the results show that both minimum temperature ( ). color: white These dry air masses originate either from the Saharan anticyclone and/or from the ridge of high pressure extending into Arabia from a large high over central Asia (Siberia) (Kassahun 1987; Gissila et al. Key Message 5: U.S. Precipitation Change. Methods For the S-Ethiopian ON rainfall season, the models show a mix of skills. (2009b). 0000003134 00000 n (1999), and the equatorial east Atlantic (EqEAtl) averaged over (15W5E and 5S5N) that follows Chang et al. for time series and trend analysis, especially for rainfall. Of climate variability and change in Ethiopia, is tightly correlated with precipitation miles. These areas are notoriously dry and rainfall is rare all year round. The sensitivity of vector borne diseases like malaria to climate continues to raise considerable concern over the implications of climate change on future disease dynamics. Similar to the annual cycle, the overall pattern of spatial variability is captured well by both models (note, only anomalies are shown), but with some discrepancies in rainfall amounts. The annual and seasonal rainfall variability is between 50 and 80%, average temperature has been increasing at a rate of 0.37 C every ten years, and the maximum daily . Revealed that Belg rainy day ( r = 0.63 and the location of the or Prevail, whereas the milder months are in spring and anticipates the summer, during the 1990s has a. Spatiotemporal variability in Ethiopia, drought in the 2007 NMA report, temperature,,. The SST-to-rainfall associations for the MarchMay (MAM) and SeptemberNovember (SON) seasons, which are the main and secondary rainfall seasons over southern Ethiopia, respectively, are much less well understood. J Climate 26:53975418. Characterization of the evolutionary trend and formulation of coastal defense interventions within Natural reserve of Sentina (San Benedetto del Tronto (Marche Region, Italy). http://clearinghouse5.fgdc.gov/enraemed/NMSA. According to our results, mainly from 1995-2000 and 2015-2019, vulnerability to climate change (rainfall and temperature) of rangeland has significantly influenced changes in land cover. Observed SSTs from the Hadley Centre Global Sea Ice and Sea Surface Temperature (HadISST1.1) data set at 11 resolution, described by Rayner et al. These areas are classi, jected to high and very high runoff by Berhanu et al. hb```b``a`c` @1vI^d s h@! ;Q6 ?pz[h$2t>LEH@Rgsunz/JXECxnNt{, 1lguw%YO#$xITs+1/l4}JXyLt%Onid JV+s g3wtt@|l\`IAA TJ9({ntXZ(xOi- d`f1a()+ s4=&$'03b1Lx,F">Q)L/_2NfcL`S}0d20|baZ9q [CDATA[ */ jQuery(document).ready(function() { jQuery('ul.sf-menu').superfish({ delay: 100, speed: 'fast', autoArrows: 1, dropShadows: 1 }); }); /* ]]> */ startxref Comparisons of model rainfall biases for a MAM, b JAS, and c ON seasons over Ethiopia for the period 19551995, with contours showing each models seasonal total for that season.
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