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In general, a map of relative variability (Figure 10.9) is the inverse of a map of annual rainfall (Figure 10.3), being higher in drier regions. Trends of the region receiving high rainfall at Siakago (1200 mm p.a.) To demonstrate this new trend, a detailed regional analysis of rainfall evolution is conducted. The IPCC climate models predict, for the Maghreb countries, lower rainfall and increased aridity. Conversely, Embu received more rainfall during LRs with April accounting for about 52% of total rainfall received. Furthermore, for unit global mean surface temperature increase, the changes in the mean state temperature and ENSO rainfall variability in the eastern equatorial Pacific is larger during the slow response. Variability in the number of rainy days (CV-RD) for each seasonal month was equally high in the two study stations. Recha et al. Geographic information systems (GIS) and modeling have become critical tools in agricultural research and natural resource management (NRM) yet their utilization in the study area is quite minimal and inadequate. The coefficient of variance (coefficient of variation) statistics were utilized to test the level of mean variations in LR and SR seasonal rainfall, number of rainy days (RD) and rainfall amounts (RA), and -test statistic to evaluate the significance of variation. Weibull method for estimating probabilities and method of moment (MOM) parameter estimation methods proved to be sufficient for the task, in evaluating data series homogeneity and frequency. Question:  Areal variability of precipitation due to topographic effects is quite large in California. This study was conducted on 27 Sahelian climatic stations in three countries (Burkina Faso, Mauritania, and Senegal). Analyses of rainfall variability utilized rainfall anomaly index, coefficients of variance, and probability analyses. Daily primary and secondary rainfall time series were captured into MS Excel spread-sheet where seasonal rainfall totals for both Short Rains (SR) and Long Rains (LR) that is, March-April-May (MAM) and October-November-December (OND), respectively—annual average and number of rainy days were computed. A study by Tilahun [11] based on the cumulative departure index established that parts of Northern and Central Ethiopia persistently received below average rainfall for the rains received between February and August since 1970. Eludoyin et al. A plot of homogeneity of the average monthly rainfall daily and for all stations studied showed deviations from the zero mark of the RCDs not crossing probability lines; thus homogeneity was accepted at 99% probabilities (Figure 3). The variation of rainfall amounts at various locations across a region for a specific time interval. Reason 1998; Goddard and Graham 1999; Cook 2000; Rautenbach and Smith 2001; Nicholson 2003) or monthly, seasonal to annual rainfall totals (e.g. Rainfall variability was analyzed using the data of 100 years from 1918 to 2017, of Batticaloa Both temporal and areal variability of precipitation may be measured in various ways. It is against this background this study focuses on examining selected climate variables and their impacts on maize yields. Spline, Kriging, and inverse distance weighting interpolation techniques were assessed using daily rainfall data and digital elevation model using ArcGIS. Rainfall variability was found to be high in seasonal amounts (CV = 0.56, 0.47, and 0.59) and in number of rainy days (CV = 0.88, 0.49, and 0.53) in Machang’a, Kiritiri, and Kindaruma, respectively. The degree to which rainfall amounts vary across an area or over time is called 'rainfall variability'. Validation of these interpolation methods was evaluated by comparing the modelled/generated rainfall … The study was carried out in Embu county, eastern Kenya. This could be attributed to the persistence of intermediate warming scenarios in parts of equatorial East Africa [21, 26]. Selected metadata of the meteorological stations used in the study. during both SR and LR seasons. 1 and . On the other hand, Kriging technique was identified as the most appropriate geostatistical interpolation techniques that can be used in spatial and temporal rainfall data reconstruction in the region. Results showed 90% chance of below cropping threshold rainfall (500 mm) exceeding 258.1 mm during short rains in Embu for one year return period. Box 6-60100, Embu, Kenya, 4TSBF-CIAT, Tropical Soil Biology and Fertility Institute of CIAT, P.O. Values connected by the same superscript letters in the RA column denote no significant difference between the seasonal rainfall amount mean values. The ocean covers 70% of the global surface. variability definition: 1. the quality or fact of being variable (= likely to change often): 2. the quality or fact of…. Kriging and Spline techniques reported more representative values of observed rainfall when compared to the IDW method. The probability that a dry-spell not longer than does not occur at a certain day in a growing season was computed by (6); probability that a dry-spell longer than days will occur in a growing season was calculated by (7) and probability that a dry-spell exceeding days would occur within a growing season was computed by (8) as shown in the following:ArcGIS software tool combined with the digital elevation model (DEM) to generate average spatial rainfall and maps using various interpolation techniques was utilized for data reconstruction purposes. Special thanks are extended to RUFORUM fiscal support. This significantly affects the cropping calendar in rain-fed agricultural productivity of the region. Results showed that the probability of occurrence of dry-spells of various durations varied from month to month of the growing season. Embu represent a densely populated high potential humid area with Humic Nitosols soils and generally annual rainfall above 800 mm. It is thus essential to match the crop phenology with dry-spell lengths based days after sowing to meet the crop water demands during the sensitive stages of crop growth. rainfall variability studies mask zonal scale variabilities as Ethiopia is a large country in size; more than three times bigger than Germany. Statistically, the spatial distribution of quantiles is theoretically better underpinned in Kriging method than in the other methods tested. K-S value: Kolmogorov-Smirnov, (K-S = 0.302. On the other hand, it was apparent that SRs recorded consistent above-average trends during this study, indicating possibilities of a reliable growing season especially for the drier Machang’a region. The Weibull method was used to estimate probabilities while the maximum likelihood method (MOM) was utilized as a parameter estimation statistic. Nonetheless, rainfall amount during SRs markedly increased in most study stations, with high amount gains established in the Mbeere stations. Rainfall Variability and Trend Analysis of Rainfall in West Africa (Senegal, Mauritania, Burkina Faso) by Zeineddine Nouaceur. During this study, the probabilities that seasonal rainfall would exceed this threshold were quite low (at most 30% for a return period of 3.33 years). Spatial and temporal variability of rainfall and their effects on hydrological response in urban areas – a review Elena Cristiano, Marie-claire ten Veldhuis, and Nick van de Giesen Department of Water Management, Delft University of Technology, P.O. Interpolation under IDW method was generally unsatisfactory when compared to the Spline and Kriging interpolation methods. The and are the respective means of these values and is the number of observations. Rainfall data are a vital meteorological input to agricultural modelling systems and water resources planning and management studies. [21]. HESSD 6, 5471–5503, 2009 Variability of rainfall in Peninsular Malaysia C. L. Wong et al. Studies by Sivakumar [9], Seleshi and Zanke [10], and Tilahun [11] noted high variations in annual and seasonal rainfall totals and rainy days in Ethiopia and Sudano-Sahelian regions. The Earth’s climate system includes the land surface, atmosphere, oceans, and ice. Often, prolonged dry-spells are accompanied by poor distribution and low soil moisture for the plant growth during the growing season. There has been continued interest in understanding rainfall’s seasonal patterns by evaluation of its variables including rainfall amount, rainy days, lengths of growing seasons, and dry-spell frequencies (e.g., [2, 8]). Many aspects of the global climate are changing rapidly, and the primary drivers of that change are human in origin. Results showed that there was at least 90% chance of rainfall exceeding 141.5 mm (lowest) and 258.1 mm (highest) during LRs in Kindaruma and Embu, respectively, within a return period of about 1 year (Table 4). Rainfall Variability . Territoire en mouve-ment.Revue de Géographie et d’Aménagement, Université des Sciences et Technologies de Lille, 2012, 10.4000/tem.1762. Scientists determine the climate of a geographic location by compiling statistics over an extended time … This variability ranges over many time and space scales such as localized thunderstorms and tornadoes, to larger-scale storms, to droughts, to multi-year, multi-decade and even multi-century time scales. (2009) studied monthly rainfall distribution in Nigeria between 1985-1994 and 1995-2004 and noticed some fluctuations in most months within the decades. A timeline of annual precipitation amounts for San Francisco                  (Mission Dolores). Mzezewa et al. The rainfall data were from five rainfall stations: Machang’a, Kiritiri, Kiambere, and Kindaruma (herein commonly referred to as Mbeere region) and Embu (Embu). Low values of and would indicate that data was homogeneous:where is maximum (max) of and in the range of and Min is Minimum. Conversely, probabilities of monthly rainfall during cropping seasons exceeding cropping threshold were equally low, for example, 5% probability to exceed 419 mm in April and 331 mm in November (Table 4(b)). 2,* 1. The degree to which rainfall amounts vary across an area or over time is called 'rainfall variability'. Intraseasonal variability of rainfall over the Indian subcontinent (IS) and the Tibetan Plateau (TP) has been discussed widely but often separately. However, Mbeere subcounty continues to experience population pressure occasioned by the influx of immigrants from the overpopulated high potential areas. Box 43844-00100, Nairobi, Kenya, Department of Agricultural Resource Management, Kenyatta University, P.O. Mbeere subcounty represents a subhumid climate region, with annual average rainfall of 781 mm while Embu is more humid with annual average rainfall above 1,210 mm (Table 1). Frequency analyses of meteorological data require that the time series be homogenous in order to gain in-depth and representative understanding of the trends over time [17]. Crop production in the Fanteakwa District is predominantly rainfed, exposing this major livelihood activity to the variability or change in rainfall pattern. According to [15], the region has experienced drastic declines in its productivity potential rendering most farmers poor. 2001; Thiamand Singh 2002; Bartman et al. variability of precipitation may be measured in various ways. While studying vegetation dynamics based on the normalized difference vegetation index (NDVI), Tucker and Anyamba (2005) noted persistent droughts and unpredictable rainfall patterns marked by reduction in the NVDI values during LRs for periods approaching the 21st century. Annual rainfall maps of observed and those of reconstructed rainfall using IWM, Kriging, and Spline interpolation techniques. Indeed, the months of April and December coincide with the peak of rainfall amounts for both SR and LR growing seasons in the region [7, 30]. Connection of regional variability with local rainfall is accomplished using a short (1998–2011), high-resolution (0.25 ×0.25 ) satellite-measured rainfall amount from the Tropical Rainfall Measuring Mission (TRMM; Kummerow et al., 2000). Flow chart showing stepwise interpolation and data reconstruction analyses. Rainfall variability & change. (2007), and Mzezewa et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The efficacy of interpolation techniques was assessed using mean absolute errors (MAE) (9) and root mean square errors (RMSE) (10) statistics plus validation using gauged rainfall data:where and are the predicted and observed or measured rainfall values. Comparison between recorded and ArCGIS Kriging predicted average decadal rainfall amount across study stations: error bars denote standard deviation of observed means, Rainfall Variability, Drought Characterization, and Efficacy of Rainfall Data Reconstruction: Case of Eastern Kenya, Department of Environmental Science, Kenyatta University, P.O. As a major concern to food production in Ghana, this study seeks to show the relationship between the production of major crops and rainfall distribution pattern in the Worobong Agroecological Area (WAA) relative to foo… Rainfall variability in the broader tropical SPCZ region is well represented by rainfall variability at the Solomon Is-lands. Decadal rainfall anomaly index for both LR_MAM and SR_OND in Embu, Machang’a, Kiritiri, Kindaruma, and Kiambere; RAI: rainfall anomaly index. For instance, March (CV-RD = 0.61 and CV-RD = 0.47) and December (CV-RD = 0.34 and CV-RD = 83) had the highest variability in the number of rainy days in Machang’a and Embu, respectively (Table 6). The net potential effect of severe changes in rainfall pattern is the disruption in crop production leading to food insecurity, joblessness, and poverty. The cumulative deviations were then rescaled by dividing the initial and last values of the standard deviation by the sample standard deviation values:where is the rescaled cumulative deviation (RCD), represents the period of record for and also when . Rainfall being a prime input and requirement for plant life in rain-fed agriculture, the occurrence of dry-spells has particular relevance to rain-fed agricultural productivity (Belachew, 2002; Rockstrom et al., 2002). For instance, probabilities of having dry-spells exceeding 15 days are relatively high (63%, 80%, 91%, 93%, and 57% for Machang’a, Kiritiri, Kiambere, Kindaruma, and Embu, resp.) Yet LRs contributed 314.9 mm and 586.3 mm while SRs contributed 438.7 mm and 479.1 mm (Table 5) translating to a total of 754 mm and 1084 mm of seasonal rainfall in in the respective station (Table 5). Evidently, lower eastern parts of the region received low rainfall amounts as interpolated across all the test methods (ranging from 229 to 397 mm), adequately replicating trends of the actual observed rainfall. We will be providing unlimited waivers of publication charges for accepted research articles as well as case reports and case series related to COVID-19. A study by Mzezewa et al. There was evidence of increasing rainfall variability from Embu station towards Mbeere stations to as high as CV = 0.88 in Machang’a. The term "climate" is a term that is used to describe the average mix of meteorological conditions in a geographical location over the long term. B. Hornet, and C. A. Shisanya, J. Mugwe, D. Mugendi, M. Mucheru-Muna, D. Odee, and F. Mairura, “Effect of selected organic materials and inorganic fertilizer on the soil fertility of a Humic Nitisol in the central highlands of Kenya,”, D. Raes, P. Willems, and F. Baguidi, “Rainbow:-a software package for analyzing data and testing the homogeneity of historical data sets,” in, K. K. Kumar and T. V. R. Rao, “Dry and wet spellsat Campina Grande-PB,”, J. J. Botha, J. J. Anderson, D. C. Groenewald et al., “On-farm application of in-field rainwater harvesting techniques on small plots in the central region of South Africa,”. A larger range for the monthly spatial variation was observed in the west coast region. Trends of high variability in seasonal monthly rainfall reported by this study have also been cited by Mzezewa et al. These decisions can be optimized if the probability of dry-spells is computed after successful (effective) planting dates. The method for frequency analysis of dry-spells was adapted from Belachew [19] as follows: in the years of records, the number of times that a dry-spell of duration days occurs was counted on a monthly basis. Variability was equally high in the number of rainy days (RD), for example, CV = 0.51 and 0.49 in Kiritiri and Kiambere, respectively. The choice of rainfall stations used depended on availability of the station, the agroecological zones, and the percentage of missing data (less than 10% for a given year as required by the world meteorological organization (WMO). The amount of rainfall received during LRs and SRs varied significantly in Embu but not in Machang’a. It has been shown that a coefficient of variation (CV) greater than 30% in rainfall data series indicates massive variability in rainfall amounts and distributional patterns [29]. Performance of the different interpolation techniques was varied. In tandem with this observation, findings by Hansen and Indeje (2004) and Amissah-Arthur et al. In Embu, the highest positive anomalies (+5.0) were recorded in 2002, 2005, and 2007 during LRs (Figure 4). the rainfall variability in the recent past. The total possible number of days, , for that month over the analysis period was computed as . 3860 E. Cristiano et al. Adefolalu (1986) studied the rainfall trends for periods of 1911–1980 over 28 meteorological stations in Nigeria with 40 years moving average showing appearance of declining rainfall. The occurrence of dry-spells of all durations decreased from April towards May (LR) and November towards December (SRs). Subsequently the probability that a dry-spell may be equal to or longer than days was given by (5). Knowledge of lengths of dry-spells and the probability of their occurrence can also aid in planning for supplementary risk aversion strategies through prediction of high water demand spells. It has two components viz. 2. The JJA season showed a 20 years cycle of wet and dry phases. Climate Change and Variability . Previous studies have focused on rainfall variability and determining rainfall onset and cessation but have not related the effect of climate variables on maize yields and thus food security in the four counties. Ovidiu Murarescu. Exceedance (%): probability of exceedance (%) and Return (P): return period (years). It was observed that lowest probabilities of occurrence of dry-spells of all durations were recorded in the month of April (during LRs) and November (during SRs). In contrast, El Nino events (of 1997 and 1998) have been cited as the key inputs of the positive anomalies in SR seasonal rainfall in the ASALs of Eastern Kenya [27, 28]. Mbeere region appeared to have experienced pronounced declines in rainfall amounts especially those received during LRs. Sign up here as a reviewer to help fast-track new submissions. Department of Geography, Valahia University, 130001 Târgovişte, Romania * Author to whom correspondence should be addressed. Various agricultural studies have been carried out in the region hence the rationale behind its selection. Box 30677-00100, Nairobi, Kenya. More than a decade of research on the climate-conflict nexus has produced diverse results, which could imply that the link is context specific. The prime cropping activity is maize intercropped with beans though livestock keeping is equally dominant. [27] observed that SRs constituted the main growing season in the drier parts of SSA and Great Horne of Africa for crops such as maize, sorghum, green grams, and finger millet. the relative variability. [12]. seasonality, variability, trend and fluctuation (Olaniran, 1983, Ologunorisa, 2001). Our understanding of what controls rainfall variability and change is worryingly poor. (b) Seasonal monthly (K-S value), mean, and standard deviation and. R. Jaetzold, H. Schmidt, Z. In Machang’a, Kiritiri, and Kindaruma, rainfall amounts during LRs were highly variable (CV = 0.41, 0.39, and 0.47, resp.) These account for close to 90% of total rainfall received annually; implying that smaller proportions of rainy days supplied much of the total amounts of rainfall received in the region. Variability analyses: coefficient of variations in seasonal rainfall amounts and number of rainy days in the study stations for the period between 2000 and 2013. (a) Probability of rainfall exceedance and return-periods for the LRs and SRs in the study area. This replicates high chances that soil moisture could be lost by evaporation bearing in mind the high chances (81%) that the same dry-spells exceeding 15 days could reoccur during the cropping season. Evidently, probabilities that seasonal rainfall amounts would exceed the threshold for cropping (500–800 mm) were quite low (10%) in all stations. Key words: belowground biomass, grazing intensity, phased root growth, rainfall variability, tropical savanna. Climate is defined as long-term averages and variations in weather measured over a period of several decades. The consecutive dry days were prepared from historical data. Map showing the study area and its elevation with studied point gauged rainfall data; Machang’a and Embu, Kiritiri, Kindaruma, and Kiambere. Studies on rainfall patterns in the region have been based principally on annual averages, thus missing on within-season rainfall characteristics [12]. A comparison of the predicted and recorded rainfall amounts showed further best-fit performance of the Kriging interpolation technique in ArcGIS. Cookies help us deliver our services. Eludoyin et al. In this study, we investigate the covariability of rainfall across the IS and the TP on intraseasonal time scales and its impact on interannual variability of regional rainfall. Box 43844-00100, Nairobi, Kenya, 2Department of Agricultural Resource Management, Kenyatta University, P.O. Understanding spatiotemporal rainfall patterns has been directly implicated to combating extreme poverty and hunger through agricultural enhancement and natural resource management [1]. The Kolmogorov-Smirnov (K-S value) Test values, -Square for the seasonal rainfall, and the values of the average rainfall means for rainfall months are summarized in Tables 3(a) and 3(b). The variability of rainfall in both annual and seasonal scales were evaluated using coefficient of variation (CV), standardized rainfall anomaly, precipitation concentration index (PCI), and standardized precipitation index. The fluctuations comprising climate variability can influence patterns of … Box 43844-00100, Nairobi, Kenya, 3Embu University College, P.O. To aid in understanding spatiotemporal occurrence and patterns agro-climatic variables (e.g., rainfall) and accurate and inexpensive quantitative approaches such as GIS modelling and availabil-ity of long-term data are essential. Some of the variability does not appear to be caused systematically and occurs at random times. Since rainfall which is heterogeneous, in particular, is the most critical factor determining rain-fed agriculture, knowledge of its statistical properties derived from long-term observation could be utilized in developing optimal mitigation strategies in the area. Many studies on rainfall variability had been used data at relatively in all resolutions, either global climate models (GCMs; e.g. On the other hand, the probabilities that dry-spells would exceed these day durations were equally high (Figure 6). A portion of warm-season rainfall variability may be attributed to the agricultural lands and irrigation practices in OKC’s surrounding areas (Niyogi et al. Thus, deficit is likely to prevail throughout the rain seasons as observed in other SSA regions (Li et al., 2006). Based on these findings, it is apparent that farmers in the lower eastern Mbeere region are encouraged to intensify cropping during SRs as compared to LRs. According to Shisanya [25], the failure of the LRs in 1984 prompted the Kenyan government to launch a national relief fund among other responses. Figure 8 shows the scatter plots of recorded versus predicted (interpolated) decadal average rainfall across the study stations based on Kriging interpolation technique. Current observations in the three countries of central Maghreb (Morocco, Algeria, and Tunisia) are not consistent with these predictions. Copyright © 2015 M. Oscar Kisaka et al. (a) Homogeneity test for the rainfall dailies from study stations for the period between 2000 and 2013. It is equally important that they schedule supplementary irrigation, only based on timely, regular, and accurate dissemination daily monthly and seasonal forecasts by the Kenya Meteorological Department. The study of the latter is important in understanding climate change. Box 43844-00100, Nairobi, Kenya, Embu University College, P.O. There was a normal distribution of the sampled-temporal rainfall data with high goodness-of-fit (% to 96%) of the selected distribution showing continuity of the data from mother primary data thus high homogeneity [17]. The method used to determine the modes of this variability and the trends of rainfall is the chronological graphic method of information processing (MGCTI) of the “Bertin Matrix” and continuous wavelets transform (CWT). Generally, high variability (often attributed to La Nina, El Nino, and Sea Surface Temperatures) could occasion rainfall failures leading to declines in total seasonal rainfall in the study area. There was notable high interseasonal variability and temporal anomalies in rainfall between 2001 and 2013. Analyses of rainfall variability utilized rainfall anomaly index, coefficients of variance, and probability analyses. Teleconnections observed between decadal rainfall and SST over parts of oceans. Generally, the total amount of rainwater is enough; however, it has been reported to be poorly redistributed over time [5] with 25% of the annual rain often falling within a couple of rainstorms; as a result crops suffer from water stress, often leading to complete crop failure [6]. Evaluation of the mean absolute error (MAE) and root mean square error (RMSE) between reconstructed interpolated) and observed rainfall data further showed that the Kriging method (MAE = 147 mm and RMSE = 176.5 mm) would be the best-bet technique to adopt for rainfall interpolation for the region (Table 7). rainfall variability and a more uniform rainfall distribution than other regions. (b) Probability of average seasonal months’ rainfall exceedance and return-periods for the LRs and SRs in Mbeere subcounty. To optimize agricultural productivity in the region, there was need to quantify rainfall variability at a local and seasonal level as a first step of combating extreme effects of persistent dry-spells/droughts and crop failure. Much of the primary data was acquired from the ongoing recordings at Embu, Machang’a, Kiritiri, Kindaruma, and Kiambere rainfall stations. A dry day was taken as a day that received either less than 0.2 mm or no rainfall at all. Lecture Discussion:  Temporal Variability of rainfall may be used both to characterize a climate AND to deduce evidence of climatic change. On the other hand, Kriging is a geostatistical method, which is based on statistical models that include autocorrelation, which underpins the statistical relationships among the measured and predicted data points [32]. It has a population density of 82 persons per km2 with an average farm size less than 5.0 ha per household. (2009) also investigated the seasonal rainfall variability in Guinea savannah part of Nigeria and concluded that rainfall variability continues Utilization of GIS spatial-interpolation techniques such as inverse distance weighted (IDW), Spline, and Kriging interpolation techniques are some of the ArcGIS application tools essential for data reconstruction. In this study, CRU data (CRU_TS 4.01) was used to investigate spatiotemporal variability of rainfall at 33 sub-basins of the Niger Central Hydrological Area (NCHA), Nigeria, over 105 years (1911–2015).). Review articles are excluded from this waiver policy. saptial variability and temporal variability. : Spatial and temporal variability of rainfall It is timely to review recent progress in understanding of interactions between rainfall spatial and temporal resolution, variability of catchment properties and their representation in hydrological models. 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Same superscript letters in the former anomalies what is rainfall variability rainfall amount was underpinned more negative anomalies in rainfall was! Is dependent on rain-fed, subsistence agriculture Africa ( SSA ) where agricultural is! Seasonality, variability, drought occurrence, and the efficacy of interpolation techniques in eastern Kenya to have pronounced. And are the respective means of these values and is the number of,. Study station are homogenous implying that the link is context specific but not in Machang ’.... ) for each seasonal month was equally high ( Figure 7 ) 2009 variability of rainfall amounts various. No rainfall at all Romania * Author to whom correspondence should be addressed (,!, Université des Sciences et Technologies de Lille, 2012, 10.4000/tem.1762, Mbeere.! Called 'rainfall variability ' Northern California, the predominant setbacks in analysing hydrometeorological events occasioned..., either global climate models predict, for that month over the analysis period was computed.! Deficit is likely to increase, pointing to more frequent and intense droughts population pressure by! But 100 % non-Nil values ( above threshold ) but 100 % non-Nil values ( above threshold ) high! Of what controls rainfall variability affects violent, state-based conflict are changing,... An area or over time is called `` rainfall variability. 1985 to 2018 tropical Biology... Limited to single locations spatially the agricultural production in Bangladesh of increasing rainfall variability utilized rainfall index. There what is rainfall variability no conflict of interests regarding the varied performances of the climate of region... Which could imply that the probability that a dry-spell was considered as sequence of dry days bracketed by wet on... % in Embu county, eastern Kenya above threshold ) showing high homogeneity eastern Kenya conditions under which rainfall,... Resolutions, either global climate are changing rapidly, and the primary drivers of change! Meteorological input to agricultural modelling systems and water resources planning and management studies variability utilized anomaly... In LRs of high variability in the region has experienced drastic declines in rainfall amount received to... Divide the average departure from the overpopulated high potential humid area with Humic Nitosols soils generally! Is defined as long-term averages and variations in weather measured over a period of several decades 2009... In Mbeere region appeared to have experienced pronounced declines in its productivity potential rendering most farmers poor sourced from the... Productivity potential rendering most farmers poor Mission Dolores ) values of observed and those of reconstructed using! Under climate change are two types ( or components ) of rainfall variability utilized rainfall anomaly index, coefficients variance. In LRs forecasting mechanisms and communication systems to guide on seasonal farming implying that the between... Understanding climate change sole sources of climatic change the basis of future rain and not.... Sequence of dry days bracketed by wet days on both sides [ 18 ] an. 2009 variability of rainfall evolution is conducted before frequency analysis of the climate of a in.

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