Добірка наукової літератури з теми "Long-range weather forecasting Africa"
Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями
Ознайомтеся зі списками актуальних статей, книг, дисертацій, тез та інших наукових джерел на тему "Long-range weather forecasting Africa".
Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.
Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.
Статті в журналах з теми "Long-range weather forecasting Africa"
Mwangi, E., F. Wetterhall, E. Dutra, F. Di Giuseppe, and F. Pappenberger. "Forecasting droughts in East Africa." Hydrology and Earth System Sciences Discussions 10, no. 8 (August 8, 2013): 10209–30. http://dx.doi.org/10.5194/hessd-10-10209-2013.
Повний текст джерелаMwangi, E., F. Wetterhall, E. Dutra, F. Di Giuseppe, and F. Pappenberger. "Forecasting droughts in East Africa." Hydrology and Earth System Sciences 18, no. 2 (February 18, 2014): 611–20. http://dx.doi.org/10.5194/hess-18-611-2014.
Повний текст джерелаMuofhe, 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 (November 7, 2020): 129. http://dx.doi.org/10.3390/cli8110129.
Повний текст джерелаBatté, Lauriane, Constantin Ardilouze, and Michel Déqué. "Forecasting West African Heat Waves at Subseasonal and Seasonal Time Scales." Monthly Weather Review 146, no. 3 (March 1, 2018): 889–907. http://dx.doi.org/10.1175/mwr-d-17-0211.1.
Повний текст джерелаBHOWMIK, S. K. ROY, ANUPAM KUMAR, and ANANDA K.DAS. "Real-time mesoscale modeling for short range prediction of weather over Maitri region in Antarctica." MAUSAM 62, no. 4 (December 16, 2021): 535–46. http://dx.doi.org/10.54302/mausam.v62i4.339.
Повний текст джерелаTennant, Warren J., Zoltan Toth, and Kevin J. Rae. "Application of the NCEP Ensemble Prediction System to Medium-Range Forecasting in South Africa: New Products, Benefits, and Challenges." Weather and Forecasting 22, no. 1 (February 1, 2007): 18–35. http://dx.doi.org/10.1175/waf979.1.
Повний текст джерелаABDELWAHAB, MM, A. SALAHELDIN, and Z. METWALLY. "A case of Khamsin type weather in north Africa." MAUSAM 36, no. 3 (April 6, 2022): 291–94. http://dx.doi.org/10.54302/mausam.v36i3.1912.
Повний текст джерелаMkuhlani, Siyabusa, Nkulumo Zinyengere, Naomi Kumi, and Olivier Crespo. "Lessons from integrated seasonal forecast-crop modelling in Africa: A systematic review." Open Life Sciences 17, no. 1 (January 1, 2022): 1398–417. http://dx.doi.org/10.1515/biol-2022-0507.
Повний текст джерелаOosthuizen, Christiaan, Barend Van Wyk, Yskandar Hamam, Dawood Desai, and Yasser Alayli. "The Use of Gridded Model Output Statistics (GMOS) in Energy Forecasting of a Solar Car." Energies 13, no. 8 (April 17, 2020): 1984. http://dx.doi.org/10.3390/en13081984.
Повний текст джерелаThiemig, V., B. Bisselink, F. Pappenberger, and J. Thielen. "A pan-African medium-range ensemble flood forecast system." Hydrology and Earth System Sciences 19, no. 8 (August 3, 2015): 3365–85. http://dx.doi.org/10.5194/hess-19-3365-2015.
Повний текст джерелаДисертації з теми "Long-range weather forecasting Africa"
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.
Повний текст джерелаLee, Jae-Won. "Long-range variability and predictability of the Ozark Highlands climate elements /." free to MU campus, to others for purchase, 1997. http://wwwlib.umi.com/cr/mo/fullcit?p9842546.
Повний текст джерелаLemke, Benjamin D. "Long-range forecasting in support of operations in the Horn of Africa." Thesis, Monterey, California. Naval Postgraduate School, 2010. http://hdl.handle.net/10945/5110.
Повний текст джерелаOver the past several decades, the Horn of Africa (HOA) has experienced recurring climate variations, including droughts and floods that have devastated the region's livelihoods and prompted increased investment in strategies to minimize the negative effects of climate variations. These preventative strategies include the enactment of early warning systems, such as the Famine Early Warning System Network, and military commands such as U.S. Africa Command. If these organizations are to be successful, they must account for the many climate factors that affect Africa, including seasonal climate variations and climate change. Thus, skillful long-range forecasts, especially of precipitation, have become increasingly valuable in planning the operations of these organizations. In this study, we focused on assessing the potential for predicting HOA precipitation rate (PR) during the October-November rain season at lead times of several seasons. We correlated HOA PR and remote climate variables, and discovered a strong potential for skillful long-range forecasts of HOA PR using sea surface temperatures (SST) near New Zealand, the Philippines, and Namibia as predictors. Our forecast methods included deterministic (tercile matching, linear regression, optimal climate normals) and probabilistic (composite analysis) methods. Our verification metrics showed a definite improvement in forecast skill over existing long-range forecasts based on long-term means, and indicated that our forecasting methods have the potential to improve the planning of military and non-military operations in the HOA.
Vavae, Hilia. "A simple forecasting scheme for predicting low rainfalls in Funafuti, Tuvalu." The University of Waikato, 2008. http://hdl.handle.net/10289/2435.
Повний текст джерелаMalin, Melissa L. "Teleconnection pattern impacts on intra-seasonal climate variability in United States winters." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file, 244 p, 2009. http://proquest.umi.com/pqdweb?did=1891555391&sid=3&Fmt=2&clientId=8331&RQT=309&VName=PQD.
Повний текст джерелаMadadgar, Shahrbanou. "Towards Improving Drought Forecasts Across Different Spatial and Temporal Scales." PDXScholar, 2014. https://pdxscholar.library.pdx.edu/open_access_etds/1516.
Повний текст джерелаTennant, Warren James. "A monthly forecast strategy for Southern Africa." Thesis, 1998. https://hdl.handle.net/10539/26794.
Повний текст джерелаVarious techniques and procedures suited to monthly forecasting are investigated and tested. These include using the products generated by atmospheric general circulation models during a 17-year hindcast experiment, and downscaling the forecast circulation to regional rainfall in South Africa using circulation indices and canonical correlation analysis. The downscaling methods are evaluated using the cross-validation technique. Various model forecast bias-correction methods and skill-enhancing ensemble techniques are employed to improve the 30-day prognosis of the model. Forecasts from the general circulation model and each technique are evaluated. Those demonstrating reasonable skill over the southern Africa region, and which are feasible when considering available resources, are adopted into a strategy which can be used operationally to produce monthly outlooks. Various practical issues regarding the operational aspects of long-term forecasting are also discussed.
Andrew Chakane 2019
Kgakatsi, Ikalafeng Ben. "The contribution of seasonal climate forecasts to the management of agricultural disaster-risk in South Africa." Thesis, 2015. http://hdl.handle.net/10539/16916.
Повний текст джерелаSouth Africa’s climate is highly variable, implying that the national agricultural sector should make provision to have early warning services in place in order to reduce the risks of disasters. More than 70% of natural disasters worldwide are caused by weather and climate or weather and climate related hazards. Reliable Seasonal Climate Forecasting (SCF) for South Africa would have the potential to be of great benefit to users in addressing disaster risk reduction. A disaster is a serious disruption of the functioning of a community or a society, causing widespread human, material, economic or environmental losses, which exceed the ability of the affected community or society to cope when using their own resources. The negative impacts on agricultural production in South Africa due to natural disasters including disasters due to increasing climate variability and climate change are critical to the sector. The hypothesis assumed in the study is the improved early warning service and better SCF dissemination lead to more effective and better decision making for subsequent disaster risk reduction in the agricultural sector. The most important aspect of knowledge management in early warning operations is that of distributing the most useful service to the target group that needs it at the right time. This will not only ensure maximum performance of the entity responsible for issuing the early warnings, but will also ensure the maximum benefit to the target group. South Africa is becoming increasingly vulnerable to natural disasters that are afflicted by localised incidents of seasonal droughts, floods and flash floods that have devastating impacts on agriculture and food security. Such disasters might affect agricultural production decisions, as well as agricultural productivity. Planting dates and plant selection are decisions that depend on reliable and accurate meteorological and climatological knowledge and services for agriculture. Early warning services that could be used to facilitate informed decision making includes advisories on iv future soil moisture conditions in order to determine estimated planting times, on future grazing capacity, on future water availability and on forecasts of the following season’s weather and climate, whenever that is possible. The involvement of government structures, obviously, is also critical in immediate responses and long term interventions. The importance of creating awareness, of offering training workshops on climate knowledge and SCF, and of creating effective early warning services dissemination channels is realized by government. This is essential in order to put effective early warning services in place as a disaster-risk coping tool. Early warning services, however, can only be successful if the end-users are aware of what early warning systems, structures and technologies are in place, and if they are willing that those issuing the early warning services become involved in the decision-making process. Integrated disaster-risk reduction initiatives in government programmes, effective dissemination structures, natural resource-management projects and communityparticipation programmes are only a few examples of actions that will contribute to the development of effective early warning services, and the subsequent response to and adoption of the advices/services strategies by the people most affected. The effective distribution of the most useful early warning services to the end-user, who needs it at the right time through the best governing structures, may significantly improve decision making in the agricultural, food security and other water-sensitive sectors. Developed disaster-risk policies for extension and farmers as well as other disaster prone sectors should encourage self-reliance and the sustainable use of natural resources, and will reduce the need for government intervention. The SCF producers (e.g. the South African Weather Service (SAWS)) have issued new knowledge to intermediaries for some years now, and it is important to determine whether this knowledge has been used in services, and if so whether these services were applied effectively in coping with disaster-risks and in disaster v reduction initiatives and programmes. This study for that reason also intends to do an evaluation of the knowledge communication processes between forecasters, and intermediaries at national and provincial government levels. It therefore, aims to assess and evaluate the current knowledge communication structures within the national agricultural sector, seeking to improve disaster-risk reduction through effective early warning services. A boundary organisation is an organization which crosses the boundary between science, politics and end-users as they draw on the interests and knowledge of agencies on both sides to facilitate evidence base and socially beneficial policies and programmes. Reducing uncertainty in SCF is potentially of enormous economic value especially to the rural communities. The potential for climate science to deliver reduction in total SCF uncertainty is associated entirely with the contributions from internal variability and model uncertainty. The understanding of the limitations of the SCFs as a result of uncertainties is very important for decision making and to end-users during planning. Disappointing, however, is that several studies have shown a fairly narrow group of potential users actually receive SCFs, with an even a smaller number that makes use of these forecasts In meeting the objectives of the study the methodology to be followed is based on knowledge communication. For that reason two types of questionnaires were drafted. Open and closed questionnaires comprehensively review the knowledge, understanding, interpretation of SCFs and in early warning services distribution channels. These questionnaires were administered among the SCF producers and intermediaries and results analysed. Lastly the availability of useful SCFs knowledge has important implications for agricultural production and food security. Reliable and accurate climate service, as one of the elements of early warning services, will be discussed since they may be used to improve agricultural practices such as crop diversification, time of planting vi and changes in cultivation practices. It was clear from the conclusions of the study that critical elements of early warning services need to receive focused attention such as the SCF knowledge feedback programme should be improved by both seasonal climate producers and intermediaries, together with established structures through which reliable, accurate and timely early warning services can be disseminated. Also the relevant dissemination channels of SCFs are critical to the success of effective implementation of early warning services including the educating and training of farming communities. The boundary organisation and early warning structures are important in effective implementation of risk reduction measures within the agricultural sector and thus need to be prioritised. Enhancing the understandability and interpretability of SCF knowledge by intermediaries will assist in improving action needed to respond to SCFs. Multiple media used by both SCF producers and intermediaries in disseminating of SCFs should be accessible by all users and end-users. The Government should ensure that farming communities are educated, trained and well equipped to respond to risks from natural hazards.
Landman, Stephanie. "A multi-model ensemble system for short-range weather prediction in South Africa." Diss., 2012. http://hdl.handle.net/2263/27018.
Повний текст джерелаDissertation (MSc)--University of Pretoria, 2012.
Geography, Geoinformatics and Meteorology
Unrestricted
Peck, Lara. "Impacts of weather on aviation delays at O.R. Tambo International Airport, South Africa." Diss., 2015. http://hdl.handle.net/10500/22201.
Повний текст джерелаGeography
M. Sc. (Geography)
Книги з теми "Long-range weather forecasting Africa"
Gusztáv, Götz. A havi és évszakos éghajlati előrejelzések elméleti alapjai és gyakorlati módszerei. Budapest: Országos Meteorológiai Szolgálat, 1986.
Знайти повний текст джерелаAlberto, Troccoli, ed. Seasonal climate: Forecasting and managing risk. Dordrecht: Springer, 2008.
Знайти повний текст джерелаHarnack, Robert P. Principles and methods of extended period forecasting in the United States, 1986. Temple Hills, MD: National Weather Association, 1986.
Знайти повний текст джерелаChichasov, G. N. Tekhnologii͡a︡ dolgostochnykh prognozov pogody. S.-Peterburg: Gidrometeoizdat, 1991.
Знайти повний текст джерелаZhong qi tian qi yu bao. Beijing: Ke xue chu ban she, 1985.
Знайти повний текст джерелаKenkyūjo, Mitsubishi Sōgō. Chikyū ondanka eikyō no rikai no tame no kikō hendō yosoku tō jisshi itaku gyōmu gyōmu hōkokusho: Heisei 25-nendo. [Tōkyō-to Chiyoda-ku]: Mitsubishi Sōgō Kenkyūjo, 2014.
Знайти повний текст джерелаMedardova kápě, aneb, Pranostiky očima meteorologa. Praha: Horizont, 1985.
Знайти повний текст джерелаWorld Meteorological Organization. Regional Association VI (Europe). Task Team on the Provision of Seasonal to Inter-annual Forecasts and Regional Climate Centre Services. Proceedings of the RA VI Task Team on the Provision of Seasonal to Inter-annual Forecasts and Regional Climate Centre Services (RA-VI-TT/SIRCC): Reading, United Kingdom, 14-16 April 2003. [Geneva, Switzerland]: World Meteorological Organization, 2003.
Знайти повний текст джерелаKankyō, Kaiyōbu Kikō Jōhōka Japan Kishōchō Chikyū. 1-kagetsu yohō shisutemu no kōshin, JRA-55 no gaiyō: Heisei 26-nendo kisetsu yohō kenshū tekisuto. Tōkyō-to Chiyoda-ku: Kishōchō, 2015.
Знайти повний текст джерелаMedium-range weather prediction: The European approach ; the story of the European Centre for Medium-Range Weather Forecasts. New York: Springer, 2006.
Знайти повний текст джерелаЧастини книг з теми "Long-range weather forecasting Africa"
Alberiko Gil-Alana, Luis. "Time Trends and Persistence in the Snowpack Percentages by Watershed in Colorado." In Weather Forecasting [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.95911.
Повний текст джерелаEsther Babalola, Toju, Philip Gbenro Oguntunde, Ayodele Ebenezer Ajayi, and Francis Omowonuola Akinluyi. "Future Climate Change Impacts on River Discharge Seasonality for Selected West African River Basins." In Weather Forecasting [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.99426.
Повний текст джерелаPedgley, D. E., D. R. Reynolds, and G. M. Tatchell. "Long-range insect migration in relation to climate and weather: Africa and Europe." In Insect Migration, 3–30. Cambridge University Press, 1995. http://dx.doi.org/10.1017/cbo9780511470875.002.
Повний текст джерелаIngersoll, Andrew P. "Jupiter Winds and Weather." In Planetary Climates. Princeton University Press, 2013. http://dx.doi.org/10.23943/princeton/9780691145044.003.0008.
Повний текст джерелаLyell, Christopher Sean, Usha Nattala, Rakesh Chandra Joshi, Zaher Joukhadar, Jonathan Garber, Simon Mutch, Assaf Inbar, et al. "A forest fuel dryness forecasting system that integrates an automated fuel sensor network, gridded weather, landscape attributes and machine learning models." In Advances in Forest Fire Research 2022, 21–27. Imprensa da Universidade de Coimbra, 2022. http://dx.doi.org/10.14195/978-989-26-2298-9_1.
Повний текст джерелаMemon, Nimrabanu, Samir B. Patel, and Dhruvesh P. Patel. "Deep Learning Solutions for Analysis of Synthetic Aperture Radar Imageries." In Artificial Intelligence of Things for Weather Forecasting and Climatic Behavioral Analysis, 107–29. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-3981-4.ch008.
Повний текст джерелаChapin III, F. Stuart, and A. David McGuire. "Climate Feedbacks in the Alaskan Boreal Forest." In Alaska's Changing Boreal Forest. Oxford University Press, 2006. http://dx.doi.org/10.1093/oso/9780195154313.003.0026.
Повний текст джерелаPolyak, Ilya. "Historical Records." In Computational Statistics in Climatology. Oxford University Press, 1996. http://dx.doi.org/10.1093/oso/9780195099997.003.0008.
Повний текст джерелаТези доповідей конференцій з теми "Long-range weather forecasting Africa"
Portilla-Yandún, Jesús. "Open Access Atlas of Global Spectral Wave Conditions Based on Partitioning." In ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/omae2018-77230.
Повний текст джерела