scholarly journals Forecasting Intense Cut-Off Lows in South Africa Using the 4.4 km Unified Model

Climate ◽  
2020 ◽  
Vol 8 (11) ◽  
pp. 129
Author(s):  
Tshimbiluni Percy Muofhe ◽  
Hector Chikoore ◽  
Mary-Jane Morongwa Bopape ◽  
Nthaduleni Samuel Nethengwe ◽  
Thando Ndarana ◽  
...  

Mid-tropospheric cut-off low (COL) pressure systems are linked to severe weather, heavy rainfall and extreme cold conditions over South Africa. They occur during all the above and often result in floods and snowfalls during the winter months, disrupting economic activities and causing extensive damage to infrastructure. This paper examines the evolution and circulation patterns associated with cases of severe COLs over South Africa. We evaluate the performance of the 4.4 km Unified Model (UM) which is currently used operationally by the South African Weather Service (SAWS) to simulate daily rainfall. Circulation variables and precipitation simulated by the UM were compared against European Centre for Medium-Range Weather Forecast’s (ECMWF’s) ERA Interim re-analyses and GPM precipitation at 24-hour timesteps. We present five recent severe COLs, which occurred between 2016 and 2019, that had high impact and found a higher model skill when simulating heavy precipitation during the initial stages than the dissipating stages of the systems. A key finding was that the UM simulated the precipitation differently during the different stages of development and location of the systems. This is mainly due to inaccurate placing of COL centers. Understanding the performance and limitations of the UM model in simulating COL characteristics can benefit severe weather forecasting and contribute to disaster risk reduction in South Africa.

Author(s):  
Tshimbiluni Percy Muofhe ◽  
Hector Chikoore ◽  
Mary-Jane Bopape ◽  
Nthaduleni S Nethengwe ◽  
Thando Ndarana ◽  
...  

Mid-tropospheric cut-off low (COL) pressure systems are linked to severe weather, heavy rainfall and extreme cold conditions over South Africa. They often result in floods and snowfalls in winter disrupting economic activities. This paper examines the evolution and circulation patterns associated with severe COLs over South Africa. We evaluate the performance of the 4.4 km Unified Model (UM) which is currently used operationally by the South African Weather Service to simulate daily rainfall. Circulation variables and precipitation simulated by the UM were compared against ECMWF’s ERA Interim reanalyses and GPM precipitation at 24-hour timesteps. We present five recent (2016-2019) severe COLs that had high impact and found higher model skill when simulating heavy precipitation during the initial stages than the dissipating stages of the systems. A key finding was that the UM underestimated precipitation mainly due to inaccurate placing of COL centers and areas of heavy rainfall by up to 5° of latitude away from the actual location, due to the poor formulating of cumulus and microphysics schemes in the model. Understanding the performance and limitations of the UM model in simulating COL characteristics can benefit severe weather forecasting and contribute to disaster risk reduction in South Africa.


Curationis ◽  
2000 ◽  
Vol 23 (2) ◽  
Author(s):  
T Khanyile

Recognition of Prior Learning (RPL) is a fairly new concept in South Africa, and hence different people have different views about RPL . Through this paper, an attempt is made to shed some light on the historical background as well as the philosophical and theoretical underpinnings of RPL . It is hoped that this information will help those nurse educators wishing to experiment with RPL to have a better understanding of how the concept came about. The relevance of RPL to the Unified model of nurse training proposed by the South African Nursing Council is also discussed.


2017 ◽  
Vol 13 (2) ◽  
pp. 263-286 ◽  
Author(s):  
_ _

Abstract Using a case study of recently arrived Cantonese-speaking migrants, this article examines the role of guanxi in shaping Chinese newcomers’ economic activities and opportunities in South Africa. In Johannesburg, Cantonese-speaking migrants tend to be employed in restaurant and fahfee (gambling) sectors, which are partially inherited from the early generations of South African Chinese. Through narratives and stories, this article reveals that Cantonese newcomers often strengthen personal and employment relationships through the practice of guanxi, but that doing so can also constrain their employment decisions. Moreover, the ambiguous boundary between the act of bribery and the practice of guanxi may facilitate Chinese participation but can also result in the victimization of the newcomers.


Water SA ◽  
2018 ◽  
Vol 44 (1 January) ◽  
Author(s):  
Lee-ann Simpson ◽  
Liesl L Dyson

November months are notorious for severe weather over the Highveld of South Africa. November 2016 was no exception and a large number of severe events occurred. Very heavy rainfall, large hail and tornadoes were reported. The aim of this paper is to compare the synoptic circulation of November 2016 with the long-term mean November circulation and to investigate some sounding derived parameters. Furthermore, a few of the severe weather events are described in detail. The surface temperatures and dewpoint temperatures were found to be higher than normal resulting in increased conditional instability over the Highveld. Low-level moisture originated over the warm Mozambique Channel and the 500 hPa temperature trough was located favourably over the Highveld; further east than normal. The combination of these factors and weak steering winds resulted in flash flooding on the 9th while favourable wind shear conditions caused the development of a tornado on 15 November. The favourable circulation patterns and moisture gave rise to an atmosphere in which severe weather was a possibility, and the awareness of such factors is used as one of many tools when considering the severe weather forecast. The consideration of the daily variables derived from sounding data were good precursors for the prediction of severe thunderstorm development over the Highveld during November 2016. It is recommended that an operational meteorologist incorporates upper air sounding data into the forecasting process and not to rely on numerical prediction models exclusively.


2001 ◽  
Vol 82 (9) ◽  
pp. 2117-2124 ◽  
Author(s):  
Marietjie Venter ◽  
Shabir A. Madhi ◽  
Caroline T. Tiemessen ◽  
Barry D. Schoub

The molecular epidemiology of respiratory syncytial virus (RSV) was studied over four consecutive seasons (1997–2000) in a single tertiary hospital in South Africa: 225 isolates were subgrouped by RT–PCR and the resulting products sequenced. Subgroup A predominated in two seasons, while A and B co-circulated approximately equally in the other seasons. The nucleotide sequences of the C-terminal of the G-protein were compared to sequences representative of previously defined RSV genotypes. South African subgroup A and subgroup B isolates clustered into four and five genotypes respectively. One new subgroup A and three new subgroup B genotypes were identified. Different genotypes co-circulated in every season. Different circulation patterns were identified for group A and B isolates. Subgroup A revealed more variability and displacement of genotypes while subgroup B remained more consistent.


2017 ◽  
Vol 7 (1) ◽  
pp. 145-150 ◽  
Author(s):  
B.N.O. Irene

Abstract Previous business research has highlighted the impact of government policy in the processes of formulating business strategies and in the decision-making process of organizations. In the South African context, a review of this impact on organizational strategy is for the most part important especially after the fall of apartheid as businesses have been saddled with widespread institutional change the purpose of which is to redress historic inequalities that characterized the apartheid regime. Specifically, the introduction of a far-reaching B-BBEE policy aimed at increasing participation of PIDs in economic activities. Previous researchers have been focused on the impact of B-BBEE policy on mergers and acquisitions, strategic decisions and value chain structures, as well as ROEs. The current report from STATS-SA indicates that the failure rate for women-owned businesses remains at a high rate despite the implementation of the B-BBEE policy. Therefore, research on the impact of BBBEE on business strategy and success of female SMMEs operators may provide an accurate and deep understanding that will be beneficial to policymakers because of the social pressures to emphasis more on a 'broad-based' BEE (B-BBEE) policy aimed at increasing the participation of the black population (and in particular women) in economic activities as well as increasing the number of black ownership in businesses or creating employment for the black population. This study used appropriate data tools and techniques to analyze the data drawn from a sample of female entrepreneurs in South Africa. The study applies culturally instantiated facets of the debate on gender entrepreneurship as part of a detailed and empirically sophisticated consideration of the status of female entrepreneurship within South Africa. This paper involves an in-depth survey using the ten dimensions of business performance as a basis to study small South African women-owned businesses given that the approach is useful in the development of a theory in fields where not much research has been undertaken. The businesses studied for this research are based on a setting where B-BBEE program is a principal factor in the strategic framework of the South African female business owner. This paper contributes to existing literature on the implications of the BBBEE program on SMEs by studying the relationship between business strategies, outcomes, and the B-BBEE program.


2016 ◽  
Vol Volume 112 (Number 9/10) ◽  
Author(s):  
Jan Hendrik Stander ◽  
Liesl Dyson ◽  
Christien J. Engelbrecht ◽  
◽  
◽  
...  

Abstract Snowfall occurs every winter over the mountains of South Africa but is rare over the highly populated metropolises over the interior of South Africa. When snowfall does occur over highly populated areas, it causes widespread disruption to infrastructure and even loss of life. Because of the rarity of snow over the interior of South Africa, inexperienced weather forecasters often miss these events. We propose a five-step snow forecasting decision tree in which all five criteria must be met to forecast snowfall. The decision tree comprises physical attributes that are necessary for snowfall to occur. The first step recognises the synoptic circulation patterns associated with snow and the second step detects whether precipitation is likely in an area. The remaining steps all deal with identifying the presence of a snowflake in a cloud and determining that the snowflake will not melt on the way to the ground. The decision tree is especially useful to forecast the very rare snow events that develop from relatively dry and warmer surface conditions. We propose operational implementation of the decision tree in the weather forecasting offices of South Africa, as it is foreseen that this approach could significantly contribute to accurately forecasting snow over the interior of South Africa.


2010 ◽  
Vol 7 (6) ◽  
pp. 8837-8871 ◽  
Author(s):  
E. de Coning ◽  
E. R. Poolman

Abstract. Extreme weather related to heavy or more frequent precipitation events seem to be a likely possibility for the future of our planet. While precipitation measurements can be done by means of rain gauges, the obvious disadvantages of point measurements are driving meteorologists towards remotely sensed precipitation methods. In South Africa more sophisticated and expensive nowcasting technology such as radar and lightning networks are available, supported by a fairly dense rain gauge network of about 1500 gauges. In the rest of southern Africa rainfall measurements are more difficult to obtain. The availability of the local version of the Unified Model and the Meteosat Second Generation satellite data make these products ideal components of precipitation measurement in data sparse regions such as Africa. In this article the local version of the Hydroestimator (originally from NOAA/NESDIS) is discussed as well as its applications for precipitation measurement in this region. Hourly accumulations of the Hydroestimator are currently used as a satellite based precipitation estimator for the South African Flash Flood Guidance system. However, the Hydroestimator is by no means a perfect representation of the real rainfall. In this study the Hydroestimator and the stratiform rainfall field from the Unified Model are both bias corrected and then combined into a new precipitation field which can feed into the South African Flash Flood Guidance system. This new product should provide a more accurate and comprehensive input to the Flash Flood Guidance systems in South Africa as well as southern Africa. In this way the southern African region where data is sparse and very few radars are available can have access to more accurate flash flood guidance.


Author(s):  
Anton Brits

Economic activities in South Africa during the past decade have caused, inter alia, road traffic congestion to accelerate annually and road infrastructure to deteriorate rapidly. Motor vehicle sales, correlated with economic trends and the economic empowerment of citizens, have and still are increasing at a faster rate than the supply of necessary infrastructure. As such, congestion, especially in the Gauteng area, has reached unacceptable levels during peak hours, necessitating the upgrading and continual maintenance of these roads and other national roads. The financial burden of upgrading and maintaining road infrastructure is enormous and, although the South African government makes contributions, an income from the road infrastructure is necessary to sustain quality infrastructure. However, a road-user paying approach, especially the structure thereof, should be acceptable to society in terms of economic efficiency and various means of equity. This article reviews the relevance of a road-user paying approach as applied in South Africa.


2018 ◽  
Vol 10 (4(J)) ◽  
pp. 32-44
Author(s):  
Bhasela Yalezo ◽  
Bokana G. K.

This study aimed at investigating the factors that determine gross fixed capital formation in the Eastern Cape province of South Africa using time series autoregressive distributive lags (ARDL) on a data covering 1996-2015. We are constraint with the time length of the data because the range of time falls within the period when South Africa got her independence and actually the reliability of most data for most economic activities began after independence. The analyses carried out in this study are basically from two study dimensions. Firstly, we investigated which factors determine the growth of Eastern Cape Gross fixed capital formation and the classification of all economic activity into primary, secondary and tertiary sectors enabled us to identify the significant role of tertiary sector among others in analyzing which factors determine Easter Cape gross fixed capital formation. Again, growth is enhanced through the following determinants: Catering and Accommodation (TF17) and not necessarily when Wholesale and retail trade is inclusive; Again, there is a better performance of the GFCF in the tertiary sector with Communication (TG19) than when Transport and storage are merged together, and finally, Business services (TH21) behaves better with tertiary sector than when it combines with Finance, Insurance and real estate. Hence, for policy implication, the growth of primary and secondary should be considered urgent and should be given ultimate policy consideration as it appears that these sections contribute very negligibly to the growth of Eastern Cape gross fixed capital formation. 


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