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Tuesday, May 12, 2020 | History

2 edition of monthly rainfall assessment model for central Sudan found in the catalog.

monthly rainfall assessment model for central Sudan

M. Hulme

monthly rainfall assessment model for central Sudan

an early warning system for likely food production deficits based on monthly rainfall totals

by M. Hulme

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Published by Dept. of Geography, University of Salford in Salford .
Written in English

    Places:
  • Sudan
    • Subjects:
    • Rain and rainfall -- Sudan -- Mathematical models.,
    • Crops and climate -- Sudan -- Mathematical models.

    • Edition Notes

      StatementM. Hulme.
      SeriesDicussion papers in geography,, no. 31, Discussion paper in geography (Salford, England) ;, no. 31.
      Classifications
      LC ClassificationsQC925.6.S73 H85 1986
      The Physical Object
      Pagination25 p. :
      Number of Pages25
      ID Numbers
      Open LibraryOL1806712M
      LC Control Number89214081

      The climate of Africa is a range of climates such as the equatorial climate, the tropical wet and dry climate, the tropical monsoon climate, the semi-desert climate (semi-arid), the desert climate (hyper-arid and arid), and the subtropical highland ate climates are rare across the continent except at very high elevations and along the fringes.   Kebede, A., Diekkrüger, B., & Semu, A. M. (). An assessment of temperature and rainfall change projections using a regional and a global climate model for the Baro-Akobo Basin, Nile Basin, Ethiopia. Journal of earth Science and Climate Change, 4, 1– CrossRef Google ScholarAuthor: Amdework Zekarias, Habtamu Taddele, Amanuel Zenebe.

      NOAA is a source of timely and authoritative scientific data and information about climate. Our goals are to promote public understanding of climate science and climate-related events, to make our data products and services easy to access and use, to provide climate-related support to the private sector and the Nation’s economy, and to serve people making. Location and description of the study area. The study area is upstream Shiroro dam north-central Nigeria, West Africa, located between Latitude °N and °N and Longitude °E and °E with an estimated land area of 32, km elevation range of the watershed is between m and 1, m and with a mean elevation of m above sea : J. Daramola, T.M. Ekhwan, J. Mokhtar, K.C. Lam, G.A. Adeogun.

      Knoema is the most comprehensive source of global decision-making data in the world. Our tools allow individuals and organizations to discover, visualize, model, and present their data and the world’s data to facilitate better decisions and better outcomes. The traditional banking system was inherited from the Anglo-Egyptian condominium ( – ). When the National Bank of Egypt opened in Khartoum in , it obtained a privileged position as banker to and for the government, allowing it to operate as a semiofficial central banks followed, but the National Bank of Egypt and Barclays Bank dominated and .


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Monthly rainfall assessment model for central Sudan by M. Hulme Download PDF EPUB FB2

Time Series Analysis of Monthly Rainfall data for the Gadaref rainfall station, Sudan, by SARIMA Methods. International Journal of Scientific Research in Knowledge, 2(7), pp.

A monthly rainfall assessment model for central Sudan: an early warning system for likely food "October " Includes bibliographical references (p.

17). Interestingly, the SARIMA (0,0,5)x(1,0,1)12 model developed here was found to be most suitable for simulating monthly rainfall drought over the Gadaref station.

The spatial relationship of West African Sudan–Sahel rainfall to the ITF migration is shown in Fig. 4 on the monthly mean time scale for – From April through August, the rain belt advances northward and intensifies, but its northern boundary (1 mm day −1 isohyet) generally lags – km south of the ITF position through July Cited by: Study area.

The study was carried out in NEB (∼8, km 2), which is located between ° N–° S and °–° W [].In this region, the annual precipitation decreases from the east and northeast coast (> mm/year) to inland dry regions. Major crop yields in the Sudan during a year period (–) are shown and compared to the African average in Fig.

yield of sorghum, groundnuts, sesame and millet in the Sudan are o 79, 51 and 42%, respectively, of the African average (MAF, ; FAO (Food and Agriculture Organization of the United Nations), ) for the period to Author: Khalid Siddig, Khalid Siddig, Davit Stepanyan, Manfred Wiebelt, Harald Grethe, Tingju Zhu.

The FEWS NET monitoring system was put in place after the tragic Ethiopian famine in / FEWS NET's extensive information about livelihoods and insecure populations helps focus CHG analysis at the local scale.

This framework, combined with high resolution time series of interpolated trends, climatological means and monthly time series of precipitation and. Subsequently, rainfall variability trend analysis was carried out over the Awash basin. TAMSAT has good agreement with station data in monthly scale.

However, CHIRPS has better performance in seasonal and annual scale. Besides, the performance of CHIRPS had better than TAMSAT and ARC-based satellite-based rainfall estimates at the annual scale. For each GCM, we used the year future periods named as s (–), s (–), s (–) and s (–) and three climate variables (mean monthly maximum Cited by: 1.

by Sarah P. Weeldreyer. Janu How one gun-rights protester made the case for more gun-safety laws. Meghan Markle for President.

by Markos Kounalakis. Janu The Threat of. Osman, Y. & A. Shamseldin, Qualitative rainfall prediction models for central and southern Sudan using El Niño-southern oscillation and Indian Ocean sea surface temperature indices.

International Journal of Climatology – CrossRef Google ScholarCited by: A simplified diagnostic model of orographic rainfall for enhancing satellite-based rainfall estimates in data-poor regions: Funk, Christopher C., Michaelsen, J.

More Info: The collaborative historical African rainfall model—Description and evaluation. Mustafa, E.M. Estimating daily rainfall from satellite data in Central Sudan 40 Balachandiran, S. The assessment of drought in Sri-Lanka (Ceylon).

43 Jones, A.W. Large-scale distribution of atmospheric pollution: factors and causes. A review of the present situation 44 Kotzamanis, D.G.

A study of surface winds over the Aegean area   The analyses illustrate approaches to assessing the extent of possible trends in rainfall patterns and the calculation of weather-induced risk associated with the inter- and intra-seasonal variability of the rainfall amounts.

Trend analyses use monthly rainfall totals and the number of rain days in each month. No simple trends were by: p Book Reviews Peer-reviewed Journal Papers J1 Hulme,M. () Unusual rains in the 'dry' season at Khartoum Weather, 38, J2 Hulme,M.

() an exceptionally dry year in central Sudan Weather, 39, J3 Trilsbach,A. and Hulme,M. () Recent rainfall changes in central Sudan and their physical and.

J5 Hulme,M. () The adaptability of a rural water supply system to extreme rainfall anomalies in central Sudan Applied Geography, 6, J5 Hulme,M. () Rainfall in Sudan: An asset or liability Geoforum, 18, J6 Hulme,M. () The wet season in central Sudan Weather, 42, Climate is the long-term average of weather, typically averaged over a period of 30 years.

Some of the meteorological variables that are commonly measured are temperature, humidity, atmospheric pressure, wind, and a broader sense, climate is the state of the components of the climate system, which includes the ocean and ice on Earth.

for their livelihoods. For the Kiremt rains, rainfall declines range from to mm across the western and southern parts of Ethiopia. The combined Belg and Kiremt rainfall reductions total a loss of more than mm of rainfall per year in the most densely populated (fig. 1) long cycle crop growing area of the country.

The monthly mean rainfall amount in the past three decades from the ten stations was aggregated and average values were taken for analysis in the upper and lower sub-basin. Based on these data, the mean, minimum and maximum rainfall amount are higher in the months of June, July, August and September (Table 1).Cited by: Investigating the influence of sea surface temperatures (SSTs) on seasonal rainfall is a crucial factor for managing Ethiopian water resources.

For this purpose, SST and rainfall data were used to study a wide range of inhomogeneous areas in Ethiopia with uneven distribution of rainfall for both summer (–) and spring (–) : Asmaa Alhamshry, Ayele Almaw Fenta, Hiroshi Yasuda, Reiji Kimura, Katsuyuki Shimizu.

A comparative analysis of the sensitivity of NDVI and EVI to rainfall indicators has been carried out for different land use/covers in the Southwest of Burkina Faso. Three classified land use/covers maps forand were produced and change detection was applied to locate persistent areas.

Thereafter monthly vegetation indices of plots of × m2 were Cited by: Calibration results of average monthly observed and predicted flow at the Gumera gauge using SWAT 99 Framework of the coupled Water Balance Simulation Model–Ethiopia and Self-Organizing Map models Digital Elevation Model,reaches,sub-basins and sub-basin outlets initialized in the Blue Nile Basin SWAT model Rainfed agriculture is practiced in the central clay plains of Sudan and is affected by the high rainfall variability in time and space within and between seasons.

This study focused on analyzing rainfall variability and trend using a year record () of seven meteorological stations at the major agricultural production areas in Gedarif state in eastern : Lotfie A. Yousif, Abdelrahman A. Khatir, Faisal M. El-Hag, Ahmed M. Abdelkarim, Hussain S. Adam, Abd.