排序方式： 共有6条查询结果，搜索用时 15 毫秒
1
1.
Isioye Olalekan Adekunle Combrinck Ludwig Botai Joel 《Theoretical and Applied Climatology》2018,132(3-4):1099-1116
Theoretical and Applied Climatology - This study presents an in-depth analysis to comprehend the spatial and temporal variability of zenith tropospheric delay (ZTD) over Nigeria during the period... 相似文献
2.
3.
Francis W.N. Nsubuga O.J. Botai Jane M. Olwoch C.J. deW Rautenbach Yvette Bevis Adebayo O. Adetunji 《水文科学杂志》2013,58(2):278-299
AbstractA study of rainfall trends and temporal variations within seven sub-basins of Uganda spanning from 1940 to 2009 has been made. Rainfall climatologies are constructed from observational data, using 36 station records which reflect hydroclimatic conditions. Long-term changes in rainfall characteristics were determined by non-parametric tests (Mann-Kendall and Sen’s T tests), coefficient of variation (CV), precipitation concentration index and drought severity index. Magnitude of change was estimated by applying Sen’s estimator of slope. Decadal variability of rainfall with marked seasonal cycles is evident. Temporal variability of drought patterns is detected. Variations in annual rainfall are low with no significant trends observed in the main drainage sub-basins. Significant trends occur in October, November, December and January. A noticeable decrease in the annual total rainfall was observed mostly in northwestern and southwestern sub-basins. Rainfall trend in the second normal of June–July–August (JJA) was decreasing in all the main drainage sub-basins.Editor Z.W. Kundzewicz; Associate editor S. YueCitation Nsubuga, F.W.N., Botai, O.J., Olwoch, J.M., Rautenbach, C.J.deW., Bevis, Y., and Adetunji, A.O., 2014. The nature of rainfall in the main drainage sub-basins of Uganda. Hydrological Sciences Journal, 59 (2), 278–299. 相似文献
4.
Omolola?M.?AdisaEmail author Christina?M.?Botai Joel?O.?Botai Abubeker?Hassen Daniel?Darkey Eyob?Tesfamariam Alex?F.?Adisa Abiodun?M.?Adeola Katlego?P.?Ncongwane 《Theoretical and Applied Climatology》2018,134(3-4):991-1004
This study analyzed the variability of the agro-climatic parameters that impact maize production across different seasons in South Africa. To achieve this, four agro-climatic variables (precipitation, potential evapotranspiration, minimum, and maximum temperatures) were considered for the period spanning 1986–2015, covering the North West, Free State, Mpumalanga, and KwaZulu-Natal (KZN) provinces. Results illustrate that there is a negative trend in precipitation for North West and Free State provinces and positive trend in maximum temperature for all the provinces over the study period. Furthermore, the results showed that among other agro-climatic parameters, minimum temperature had the most influence on maize production in North West, potential evapotranspiration (combination of the agro-climatic parameters), minimum and maximum temperature influenced maize production in KZN while maximum temperature influenced maize production in Mpumalanga and Free State. In general, the agro-climatic parameters were found to contribute 7.79, 21.85, 32.52, and 44.39% to variation in maize production during the study period in North West, Free State, Mpumalanga, and KZN, respectively. The variation in maize production among the provinces under investigation could most likely attribute to the variation in the size of the cultivated land among other factors including soil type and land tenure system. There were also difference in yield per hectare between the provinces; KZN and Mpumalanga being located in the humid subtropical areas of South Africa had the highest yield per hectare 5.61 and 4.99 tons, respectively, while Free State and North West which are in the semi-arid region had the lowest yield per hectare 3.86 and 3.03 tons, respectively. Understanding the nature and interaction of the dominant agro-climatic parameters discussed in the present study as well as their impact on maize production will help farmers and agricultural policy makers to understand how climate change exerts its influence on maize production within the study area so as to better adapt to the major climate element that either increases or decreases maize production in their respective provinces. 相似文献
5.
F. N. W. Nsubuga J. M. Olwoch C. J. deW. Rautenbach O. J Botai 《Theoretical and Applied Climatology》2014,115(1-2):53-71
A methodology has been applied to investigate the spatial variability and trends existent in a mid-twentieth century climatic time series (for the period 1943–1977) recorded by 58 climatic stations in the Albert–Victoria water management area in Uganda. Data were subjected to quality checks before further processing. In the present work, temporal trends were analyzed using Mann–Kendall and linear regression methods. Heterogeneity of monthly rainfall was investigated using the precipitation concentration index (PCI). Results revealed that 53 % of stations have positive trends where 25 % are statistically significant and 45 % of stations have negative trends with 23 % being statistically significant. Very strong trends at 99 % significance level were revealed at 12 stations. Positive trends in January, February, and November at 40 stations were observed. The highest rainfall was recorded in April, while January, June, and July had the lowest rainfall. Spatial analysis results showed that stations close to Lake Victoria recorded high amounts of rainfall. Average annual coefficient of variability was 19 %, signifying low variability. Rainfall distribution is bimodal with maximums experienced in March–April–May and September–October–November seasons of the year. Analysis also revealed that PCI values showed a moderate to seasonal rainfall distribution. Spectral analysis of the time components reveals the existence of a major period around 3, 6, and 10 years. The 6- and 10-year period is a characteristic of September–October–November, March–April–May, and annual time series. 相似文献
6.
M. Tesfaye J. Botai V. Sivakumar G. Mengistu Tsidu 《Meteorology and Atmospheric Physics》2014,125(3-4):177-195
In this study, we examine the mass distributions, direct and semi-direct effects of different biomass burning aerosols (BBAs) over South Africa using the 12-year runs of the Regional Climate Model (RegCM4). The results were analyzed and presented for the main BB season (July–October). The results show that Mpumalanga, KwaZulu Natal and the eastern parts of Limpopo are the main local source areas of BBAs in South Africa. In comparison to carbonaceous aerosols, BB-induced sulfate aerosol mass loading and climatic effects were found to be negligible. All carbonaceous aerosols reduce solar radiation at the surface by enhancing local atmospheric radiative heating. The climatic feedback caused by BBAs, resulted in changes in background aerosol concentrations. Thus, on a regional scale, climatic effects of BBAs were also found in areas far away from the BBA loading zones. The feedback mechanisms of the climate system to the aerosol radiative effects resulted in both positive and negative changes to the low-level columnar averaged net atmospheric radiative heating rate (NAHR). Areas that experienced an NAHR reduction showed an increase in cloud cover (CC). During the NAHR enhancement, CC over arid areas decreased; whereas CC over the wet/semi-wet regions increased. The changes in surface temperature (ST) and surface sensible heat flux are more closely correlated with BBA semi-direct effects induced CC alteration than their direct radiative forcing. Furthermore, decreases (or increases) in ST, respectively, lead to the reductions (and enhancements) in boundary layer height and the vice versa on surface pressure. The direct and semi-direct effects of BBAs also jointly promoted a reduction and rise in surface wind speed that was spatially highly variable. Overall, the results suggest that the CC change induced by the presence of radiatively interactive BBAs is important to determine alterations in other climatic variables. 相似文献
1