Academic literature on the topic 'South African Weather Service (SAWS)'

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Journal articles on the topic "South African Weather Service (SAWS)"

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Rautenbach, Christo, Michael A. Barnes, David W. Wang, and James Dykes. "Southern African Wave Model Sensitivities and Accuracies." Journal of Marine Science and Engineering 8, no. 10 (2020): 773. http://dx.doi.org/10.3390/jmse8100773.

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Numerous studies have identified the complexities of the wave climatology around the South African coast, but limited studies have investigated these complex dynamics in the available literature. Several freely available parameterized wave boundary conditions are produced around southern Africa. However, none of these are fully spectral outputs from global or larger regional spectral wave models. This constraint results in local engineering and scientific organizations, reconstructing their own spectral boundary conditions. For coastal models, this is a reasonable assumption, assuming that the
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Stein, T. H. M., W. Keat, R. I. Maidment, et al. "An Evaluation of Clouds and Precipitation in Convection-Permitting Forecasts for South Africa." Weather and Forecasting 34, no. 1 (2019): 233–54. http://dx.doi.org/10.1175/waf-d-18-0080.1.

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Abstract Since 2016, the South African Weather Service (SAWS) has been running convective-scale simulations to assist with forecast operations across southern Africa. These simulations are run with a tropical configuration of the Met Office Unified Model (UM), nested in the Met Office global model, but without data assimilation. For November 2016, convection-permitting simulations at 4.4- and 1.5-km grid lengths are compared against a simulation at 10-km grid length with convection parameterization (the current UM global atmosphere configuration) to identify the benefits of increasing model re
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Ciolkosz, Daniel. "SASRAD: An hourly-timestep solar radiation database for South Africa." Journal of Energy in Southern Africa 20, no. 1 (2009): 25–34. http://dx.doi.org/10.17159/2413-3051/2009/v20i1a3299.

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A methodology is presented for the correction and filling of solar radiation data at sites within South Africa, with the aim of creating a continuous, hourly-timestep dataset for multiple locations. Data from twenty sites, collected by the Agricultural Research Council, are analysed with regard to the amount of data requiring offset or multiplier adjustment, as well as the amount of bad data. A range correction algorithm is implemented based on the 90th percentile (10% exceedance) hourly irradiance, as a function of site latitude and elevation. The resulting, corrected data set is given the ti
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Muofhe, Tshimbiluni Percy, Hector Chikoore, Mary-Jane Morongwa Bopape, Nthaduleni Samuel Nethengwe, Thando Ndarana, and Gift Tshifhiwa Rambuwani. "Forecasting Intense Cut-Off Lows in South Africa Using the 4.4 km Unified Model." Climate 8, no. 11 (2020): 129. http://dx.doi.org/10.3390/cli8110129.

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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 ra
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Ntsangwane, Lucky, Brighton Mabasa, Venkataraman Sivakumar, Nosipho Zwane, Katlego Ncongwane, and Joel Botai. "Quality control of solar radiation data within the South African Weather Service solar radiometric network." Journal of Energy in Southern Africa 30, no. 4 (2019): 51–63. http://dx.doi.org/10.17159/2413-3051/2019/v30i4a5586.

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This study reports on the performance results of the Baseline Surface Radiation Network (BSRN) quality control procedures applied to the solar radiation data, from September 2013 to December 2017, within the South African Weather Service radiometric network. The overall percentage performance of the SAWS solar radiation network based on BSRN quality control methodology was 97.79%, 93.64%, 91.60% and 92.23% for long wave downward irradiance (LWD), global horizontal irradiance (GHI), diffuse horizontal irradiance (DHI) and direct normal irradiance (DNI), respectively, with operational problems l
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Sinclair, S., and G. G. S. Pegram. "A comparison of ASCAT and modelled soil moisture over South Africa, using TOPKAPI in land surface mode." Hydrology and Earth System Sciences 14, no. 4 (2010): 613–26. http://dx.doi.org/10.5194/hess-14-613-2010.

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Abstract. In this paper we compare two independent soil moisture estimates over South Africa. The first estimate is a Soil Saturation Index (SSI) provided by automated real-time computations of the TOPKAPI hydrological model, adapted to run as a collection of independent 1 km cells with centres on a grid with a spatial resolution of 0.125°, at 3 h intervals. The second set of estimates is the remotely sensed ASCAT Surface Soil Moisture product, temporally filtered to yield a Soil Wetness Index (SWI). For the TOPKAPI cells, the rainfall forcing used is the TRMM 3B42RT product, while the evapotr
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Korhonen, K., E. Giannakaki, T. Mielonen, et al. "Atmospheric boundary layer top height in South Africa: measurements with lidar and radiosonde compared to three atmospheric models." Atmospheric Chemistry and Physics 14, no. 8 (2014): 4263–78. http://dx.doi.org/10.5194/acp-14-4263-2014.

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Abstract. Atmospheric lidar measurements were carried out at Elandsfontein measurement station, on the eastern Highveld approximately 150 km east of Johannesburg in South Africa throughout 2010. The height of the planetary boundary layer (PBL) top was continuously measured using a Raman lidar, PollyXT (POrtabLe Lidar sYstem eXTended). High atmospheric variability together with a large surface temperature range and significant seasonal changes in precipitation were observed, which had an impact on the vertical mixing of particulate matter, and hence, on the PBL evolution. The results were compa
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Mabasa, Brighton, Meena D. Lysko, Henerica Tazvinga, Sophie T. Mulaudzi, Nosipho Zwane, and Sabata J. Moloi. "The Ångström–Prescott Regression Coefficients for Six Climatic Zones in South Africa." Energies 13, no. 20 (2020): 5418. http://dx.doi.org/10.3390/en13205418.

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The South African Weather Service (SAWS) manages an in situ solar irradiance radiometric network of 13 stations and a very dense sunshine recording network, located in all six macroclimate zones of South Africa. A sparsely distributed radiometric network over a landscape with dynamic climate and weather shifts is inadequate for solar energy studies and applications. Therefore, there is a need to develop mathematical models to estimate solar irradiation for a multitude of diverse climates. In this study, the annual regression coefficients, a and b, of the Ångström–Prescott (AP) model, which can
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Ayodele, Temitope R., Adisa A. Jimoh, Josiah L. Munda, and John T. Agee. "Statistical analysis of wind speed and wind power potential of Port Elizabeth using Weibull parameters." Journal of Energy in Southern Africa 23, no. 2 (2012): 30–38. http://dx.doi.org/10.17159/2413-3051/2012/v23i2a3160.

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This paper analyses wind speed characteristics and wind power potential of Port Elizabeth using statistical Weibull parameters. A measured 5–minute time series average wind speed over a period of 5 years (2005 - 2009) was obtained from the South African Weather Service (SAWS). The results show that the shape parameter (k) ranges from 1.319 in April 2006 to 2.107 in November 2009, while the scale parameter (c) varies from 3.983m/s in May 2008 to 7.390 in November 2009.The average wind power density is highest during Spring (September–October), 256.505W/m2 and lowest during Autumn (April-May), 1
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Korhonen, K., E. Giannakaki, T. Mielonen, et al. "Atmospheric boundary layer top height in South Africa: measurements with lidar and radiosonde compared to three atmospheric models." Atmospheric Chemistry and Physics Discussions 13, no. 7 (2013): 17407–50. http://dx.doi.org/10.5194/acpd-13-17407-2013.

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Abstract. Atmospheric lidar measurements were carried out at Elandsfontein measurement station, on the eastern Highveld approximately 150 km east of Johannesburg in South Africa (SA) throughout 2010. The height of the planetary boundary layer (PBL) top was continuously measured using a~Raman lidar, PollyXT (POrtabLe Lidar sYstem eXTended). High atmospheric variability together with a large surface temperature range and significant seasonal changes in precipitation were observed, which had an impact on the vertical mixing of particulate matter (PM), and hence, on the PBL evolution. The results
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Dissertations / Theses on the topic "South African Weather Service (SAWS)"

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Nel, Werner. "On the climate of the Drakensberg rainfall and surface-temperature attributes, and associated geomorphic effects /." Thesis, Pretoria : [S.n.], 2007. http://upetd.up.ac.za/thesis/available/etd-01252008-164156/.

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Moatshe, Peggy Seanokeng. "Verification of South African Weather Service operational seasonal forecasts." Pretoria: [S.n.], 2009. http://upetd.up.ac.za/thesis/available/etd-08112009-131703.

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Moatshe, Peggy Seanokeng. "Verification of South African Weather Service operational seasonal forecasts." Diss., University of Pretoria, 2008. http://hdl.handle.net/2263/27145.

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The South African Weather Service rainfall seasonal forecasts are verified for the period of January-February-March to October-November-December 1998-2004. These forecasts are compiled using different models from different institutions. Probability seasonal forecasts can be evaluated using different skill measures, but in this study the Ranked Probability Skill Score (RPSS), Reliability Diagram (RD) and Relative Operating Characteristics (ROC) are used. The RPSS is presented in the form of maps whereas the RD and ROC are analyses are presented in the form of graphs. The aim of the study is to
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Mabusela, Xolile. "Measuring and building the South African weather service (SAWS) brand equity." Thesis, 2005. http://hdl.handle.net/10413/1795.

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The SAWS is interested in demonstrating the economic and social benefits of the products or services it provides to the public, industries and other organisations. It is also important for the organisation to carry out ongoing performance assessment of public and commercial weather services to ensure that these services are efficient and effectively meeting the public's and customer's needs and contribute to longer term commercial and societal objectives. Some other National Weather Services has developed "Service Charters" which detail their pledge of performance to the user communities, spec
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Mahlobo, Dawn Duduzile. "The Verification of different model configurations of the Unified Atmospheric Model over South Africa." Diss., 2013. http://hdl.handle.net/2263/33168.

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In 2006 a Numerical Weather Prediction (NWP) model known as the Unified Model (UM) from the United Kingdom Meteorological Office (UK Met Office) was installed at the South African Weather Service (SAWS). Since then it has been used operationally at SAWS, replacing the Eta model that was previously used. The research documented in this dissertation was inspired by the need to verify the performance of the UM in simulating and predicting weather over South Africa. To achieve this aim, three model configurations of the UM were compared against each other and against observations. Verificat
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Simpson, Lee-ann. "Comparing lightning polarity and cloud microphysical properties over regions of high ground flash density in South Africa." Diss., 2013. http://hdl.handle.net/2263/33179.

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Positive lightning flashes are known to be more intense and cause more damage than negative flashes, although positive flashes only occur about 10% of the time. This study expounds on cloud microphysical aspects of thunderstorms and investigates the occurrence, timing and location of ice particles within thunderstorms and correlates this to the occurrence of positive cloud-to-ground lightning events. Satellite data obtained from the Meteosat Second Generation (MSG) satellite, were used to: 1) depict Cloud Top Temperatures (CTT) by considering Infra Red (IR) radiation with a wave length of 10.
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Chiloane, Kgaugelo Euphinia. "Volatile organic compounds(VOC's) analysis from Cape Town haze ll study." Thesis, 2006. http://hdl.handle.net/10539/1611.

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Student Number: 9503012G Master of Science. School of Geography, Archaeology and Environmental Studies<br>A brown haze which builds-up over Cape Town under calm and cold weather conditions causes public concern. The brown haze is thought to be due to the gaseous and particulate emissions from the city, industries, traffic and townships in the Cape Town region. Volatile organic carbon (VOCs) compounds are an important component of the haze layer particularly because of their reactivity. VOCs play an important role in the carbon budget and radiation balance, regional oxidant balance, and in
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Book chapters on the topic "South African Weather Service (SAWS)"

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Matandirotya, Newton R., Dirk P. Cilliers, Roelof P. Burger, Christian Pauw, and Stuart J. Piketh. "Risks of Indoor Overheating in Low-Cost Dwellings on the South African Lowveld." In African Handbook of Climate Change Adaptation. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-45106-6_123.

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AbstractThe South African Lowveld is a region of land that lies between 150 and 2000 m above sea level. In summer the region is characterized by the maximum mean daily ambient temperature of 32 °C. The purpose of the study was to characterize indoor thermal environments in low-cost residential dwellings during summer seasons as climate is changing. Indoor and ambient air temperature measurements were performed at a 30-min temporal resolution using Thermochron iButtons in the settlement of Agincourt. 58 free running low-cost residential dwellings were sampled over the summer seasons of 2016 and 2017. Complementary ambient air temperature data were sourced from the South African Weather Service (SAWS). Data were transformed into hourly means for further analysis. It was found that hourly maximum mean indoor temperatures ranged between 27 °C (daytime) and 23 °C (nighttime) for both living rooms and bedrooms in summer 2016 while in 2017, maximum mean indoor temperatures ranged between 29 °C (daytime) and 26 °C (nighttime) in living rooms and bedrooms. Pearson correlations showed a positive association between indoor and ambient temperatures ranging between r = 0.40 (daytime) and r = 0.90 (nighttime). The association is weak to moderate during daytime because occupants apply other ventilation practices that reduce the relationship between indoor and ambient temperatures. The close association between nighttime ambient and indoor temperature can also be attributed to the effect of urban heat island as nighttime ambient temperature remain elevated; thus, influencing indoor temperatures also remain high. These findings highlight the potential threat posed by a rise in temperatures for low-cost residential dwellings occupants due to climate change. Furthermore, the high level of sensitiveness of dwellings to ambient temperature changes also indicates housing envelopes that have poor thermal resistance to withstand the Lowveld region’s harsh extreme heat conditions, especially during summer. The study findings suggest that a potential risk of indoor overheating exists in low-cost dwellings on the South African Lowveld as the frequency and intensity of heat waves rise. There is therefore a need to develop immediate housing adaptation interventions that mitigate against the projected ambient temperature rise for example through thermal insulation retrofits on the existing housing stock and passive housing designs for new housing stock.
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Iyamu, Tiko, and Sharol Sibongile Mkhomazi. "Managing Knowledge towards Enabling Healthcare Service Delivery." In Advances in Healthcare Information Systems and Administration. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9446-0.ch002.

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In every living being, health is essentially important, and as such, requires attention. Health related matters are at one point or the other embedded into humans' strategic, tactical and operational activities. However, due to human complexity, manifesting from factors such as food consumption and weather effect, healthcare services have increasingly become essential to individuals, groups and organisations in their daily life activities. As healthcare services increase in significance, the knowledge acquired and used in carrying out its services also becomes vital. The management of knowledge has increased in its relevance over the years. This could be attributed to the complexity in human activities. Thus, the management of knowledge has many challenges, which are never straight forward, and does not always produce positive result. Based on the challenges, it is critical to understand the enabling and constraint scenery of knowledge management. This article applied Structuration Theory to examine the different types of knowledge within the healthcare environment, using one of South African healthcare service providers as a case. This was done in order to gain better understanding on how certain knowledge are managed to give the result that they do. A better understanding of how knowledge is acquired and used within the healthcare environment would assist practitioners and managers, including Government and academic researchers in their roles and responsibilities.
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