Spatiotemporal Climate Variability over Senegal and its Relationships with Global Climate
Climate variability over Senegal and its relationships with global climate is examined for the period 1971-1998. Monthly observed rainfall for 20 stations over Senegal, monthly mean temperature for 12 stations and monthly average CMAP data were averaged for the months of June July, August and Septem...
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ftncstateu:oai:repository.lib.ncsu.edu:1840.16/1304 2023-07-23T04:20:48+02:00 Spatiotemporal Climate Variability over Senegal and its Relationships with Global Climate Fall, Souleymane Hugh Devine, Committee Member Dev Dutta S. Niyogi, Committee Co-Chair Fredrick Semazzi, Committee Co-Chair Sethu Raman, Committee Member 2004-03-16 http://www.lib.ncsu.edu/resolver/1840.16/1304 unknown etd-12172003-100142 http://www.lib.ncsu.edu/resolver/1840.16/1304 I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to NC State University or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report. ArcGIS Spatial Analyst Climate variability in West Africa tropical Atlantic SST EOF Analysis step change detection predictability of Sahel rainfall 2004 ftncstateu 2023-07-03T21:40:34Z Climate variability over Senegal and its relationships with global climate is examined for the period 1971-1998. Monthly observed rainfall for 20 stations over Senegal, monthly mean temperature for 12 stations and monthly average CMAP data were averaged for the months of June July, August and September, to generate seasonal rainfall totals for the wet season and climate indices averaged over the study period. The monthly SST data is the NOAA Extended Reconstructed SST data (ERSST) provided by the NOAA-CIRES Climate Diagnostics Center in Boulder, Colorado. The monthly, seasonal and annual temperature and precipitation distributions are mapped analyzed using ArcGIS Spatial Analyst. Rainfall distribution over Senegal is dominated by a N-S gradient, and temperature distribution by an E-W gradient. The mapping of the coefficient of variation for all stations reveals that for both rainfall and the number of rainy days, June is the month that exhibits the greater variability, especially in the West and North of the country. As regard to temperatures, the months from January to April are accountable for most of the variability, especially in the sub-arid areas of the North and Northwest. Trends in precipitation and temperature are estimated using a linear regression analysis and interpolation maps for the slopes. Areas of positive slopes are limited for rainfall (Northeast and Southwest of Senegal), but important and statistically significant for temperature throughout the country. To investigate the climate variability over Senegal two EOF analyses are performed: for 1971-1998 using observations, and for 1979-7998 using additional CMAP data. The first analysis reveals a strong domination of the first EOF mode for rainfall over Senegal. The corresponding time series mostly fluctuates on a high frequency mode. Its correlations with Atlantic and Pacific SST don't show a strong relationship leading to predictability. However, the second mode for September is well correlated with North Atlantic SST. Despite modest ... Other/Unknown Material North Atlantic North Carolina State University Libraries (NCSU): Digital Repository Pacific |
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Open Polar |
collection |
North Carolina State University Libraries (NCSU): Digital Repository |
op_collection_id |
ftncstateu |
language |
unknown |
topic |
ArcGIS Spatial Analyst Climate variability in West Africa tropical Atlantic SST EOF Analysis step change detection predictability of Sahel rainfall |
spellingShingle |
ArcGIS Spatial Analyst Climate variability in West Africa tropical Atlantic SST EOF Analysis step change detection predictability of Sahel rainfall Fall, Souleymane Spatiotemporal Climate Variability over Senegal and its Relationships with Global Climate |
topic_facet |
ArcGIS Spatial Analyst Climate variability in West Africa tropical Atlantic SST EOF Analysis step change detection predictability of Sahel rainfall |
description |
Climate variability over Senegal and its relationships with global climate is examined for the period 1971-1998. Monthly observed rainfall for 20 stations over Senegal, monthly mean temperature for 12 stations and monthly average CMAP data were averaged for the months of June July, August and September, to generate seasonal rainfall totals for the wet season and climate indices averaged over the study period. The monthly SST data is the NOAA Extended Reconstructed SST data (ERSST) provided by the NOAA-CIRES Climate Diagnostics Center in Boulder, Colorado. The monthly, seasonal and annual temperature and precipitation distributions are mapped analyzed using ArcGIS Spatial Analyst. Rainfall distribution over Senegal is dominated by a N-S gradient, and temperature distribution by an E-W gradient. The mapping of the coefficient of variation for all stations reveals that for both rainfall and the number of rainy days, June is the month that exhibits the greater variability, especially in the West and North of the country. As regard to temperatures, the months from January to April are accountable for most of the variability, especially in the sub-arid areas of the North and Northwest. Trends in precipitation and temperature are estimated using a linear regression analysis and interpolation maps for the slopes. Areas of positive slopes are limited for rainfall (Northeast and Southwest of Senegal), but important and statistically significant for temperature throughout the country. To investigate the climate variability over Senegal two EOF analyses are performed: for 1971-1998 using observations, and for 1979-7998 using additional CMAP data. The first analysis reveals a strong domination of the first EOF mode for rainfall over Senegal. The corresponding time series mostly fluctuates on a high frequency mode. Its correlations with Atlantic and Pacific SST don't show a strong relationship leading to predictability. However, the second mode for September is well correlated with North Atlantic SST. Despite modest ... |
author2 |
Hugh Devine, Committee Member Dev Dutta S. Niyogi, Committee Co-Chair Fredrick Semazzi, Committee Co-Chair Sethu Raman, Committee Member |
author |
Fall, Souleymane |
author_facet |
Fall, Souleymane |
author_sort |
Fall, Souleymane |
title |
Spatiotemporal Climate Variability over Senegal and its Relationships with Global Climate |
title_short |
Spatiotemporal Climate Variability over Senegal and its Relationships with Global Climate |
title_full |
Spatiotemporal Climate Variability over Senegal and its Relationships with Global Climate |
title_fullStr |
Spatiotemporal Climate Variability over Senegal and its Relationships with Global Climate |
title_full_unstemmed |
Spatiotemporal Climate Variability over Senegal and its Relationships with Global Climate |
title_sort |
spatiotemporal climate variability over senegal and its relationships with global climate |
publishDate |
2004 |
url |
http://www.lib.ncsu.edu/resolver/1840.16/1304 |
geographic |
Pacific |
geographic_facet |
Pacific |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_relation |
etd-12172003-100142 http://www.lib.ncsu.edu/resolver/1840.16/1304 |
op_rights |
I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to NC State University or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report. |
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