This article assesses the contribution of the Global Framework for Climate Services Adaptation Programme in Africa (GFCS APA) in the National Adaptation Plan (NAP) process for Tanzania. Different research project outp...This article assesses the contribution of the Global Framework for Climate Services Adaptation Programme in Africa (GFCS APA) in the National Adaptation Plan (NAP) process for Tanzania. Different research project outputs (field survey and workshop reports) produced during the implementation of GFCS APA are reviewed to assess the contribution of GFCS APA programme in the establishment and implementation of NAP process in Tanzania. It is found that the implementation of GFCS-APA programme in Tanzania has improved the availability, accessibility, and applicability of climate information to different stakeholders. This has in turn attributed to significant use of climate information in planning and decision making in target sectors: agriculture and food security, disaster risk reduction, energy, health and water resource management. This has increased the adaptation capacity of vulnerable communities from the impacts of climate variability and change. Furthermore, it is evident that the aims and objectives of establishments of NAP process in Tanzania have been addressed through implementation of GFCS APA Programme. Moreover, since the GFCS APA in Tanzania is implemented within its five pillars namely: observation and monitoring, research, modeling and prediction, climate information systems, user interface platform and capacity development. The achievement made in each pillar contributed in enhancement of resilience of vulnerable communities to climate variability and change hence addressing the aims and objectives of NAP process in Tanzania. Therefore, it is recommended that achievements of GFCS APA Programme in Tanzania to be used as a guide to the development and implementations of the NAP process in Tanzania.展开更多
The study aimed at analyzing the trends and variability of temperature extreme</span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span st...The study aimed at analyzing the trends and variability of temperature extreme</span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">s</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;"> over </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">the </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">northeastern highlands in Tanzania, specifically over Arusha and Kilimanjaro regions. Quality controlled mean monthly, daily maximum and minimum temperature data for the period 1961 to 2020</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">,</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;"> obtained from Tanzania Meteorological Authority</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">,</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;"> were used in the study. Rclimdex and the National Climate Monitoring Products (NMCP) software</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">,</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;"> developed by the World Meteorological Organization (WMO)</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">,</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;"> were used for computation of the indices at a monthly, seasonal and annual time scale. The computed indices were also subjected to trend analysis to determine their direction and magnitude of change. Extraction and assessment of the top five highest and lowest maximum and minimum temperature</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">s</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;"> w</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">ere</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;"> also done. Increasing trends of temperature anomalies for seasonal and annual timescale</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">s</span></span></span><span><span><span style="font-family:""><span style="font-family:Verdana;"> were observed for both Arusha and Kilimanjaro regions. Also, the increasing trends of warm and extreme warm days and nights and relatively increasing trends of cold and extreme cold days and nights were observed for both regions. The highest ever recorded temperatures since the establishment of the two stations were 36.3?C observed on 16</span><sup><span style="font-family:Verdana;">th</span></sup><span style="font-family:Verdana;"> February 2011 and 38.6?C observed on 22</span><sup><span style="font-family:Verdana;">nd</span></sup><span style="font-family:Verdana;"> February 2005 for Arusha and Kilimanjaro respectively. These results indicate that The last two decades have been characterized by enhanced warming, which is consistent with overall global temperature trend patterns as depicted in recent IPCC reports and the report of the State of Climate in Africa.展开更多
文摘This article assesses the contribution of the Global Framework for Climate Services Adaptation Programme in Africa (GFCS APA) in the National Adaptation Plan (NAP) process for Tanzania. Different research project outputs (field survey and workshop reports) produced during the implementation of GFCS APA are reviewed to assess the contribution of GFCS APA programme in the establishment and implementation of NAP process in Tanzania. It is found that the implementation of GFCS-APA programme in Tanzania has improved the availability, accessibility, and applicability of climate information to different stakeholders. This has in turn attributed to significant use of climate information in planning and decision making in target sectors: agriculture and food security, disaster risk reduction, energy, health and water resource management. This has increased the adaptation capacity of vulnerable communities from the impacts of climate variability and change. Furthermore, it is evident that the aims and objectives of establishments of NAP process in Tanzania have been addressed through implementation of GFCS APA Programme. Moreover, since the GFCS APA in Tanzania is implemented within its five pillars namely: observation and monitoring, research, modeling and prediction, climate information systems, user interface platform and capacity development. The achievement made in each pillar contributed in enhancement of resilience of vulnerable communities to climate variability and change hence addressing the aims and objectives of NAP process in Tanzania. Therefore, it is recommended that achievements of GFCS APA Programme in Tanzania to be used as a guide to the development and implementations of the NAP process in Tanzania.
文摘The study aimed at analyzing the trends and variability of temperature extreme</span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">s</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;"> over </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">the </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">northeastern highlands in Tanzania, specifically over Arusha and Kilimanjaro regions. Quality controlled mean monthly, daily maximum and minimum temperature data for the period 1961 to 2020</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">,</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;"> obtained from Tanzania Meteorological Authority</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">,</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;"> were used in the study. Rclimdex and the National Climate Monitoring Products (NMCP) software</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">,</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;"> developed by the World Meteorological Organization (WMO)</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">,</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;"> were used for computation of the indices at a monthly, seasonal and annual time scale. The computed indices were also subjected to trend analysis to determine their direction and magnitude of change. Extraction and assessment of the top five highest and lowest maximum and minimum temperature</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">s</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;"> w</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">ere</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;"> also done. Increasing trends of temperature anomalies for seasonal and annual timescale</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">s</span></span></span><span><span><span style="font-family:""><span style="font-family:Verdana;"> were observed for both Arusha and Kilimanjaro regions. Also, the increasing trends of warm and extreme warm days and nights and relatively increasing trends of cold and extreme cold days and nights were observed for both regions. The highest ever recorded temperatures since the establishment of the two stations were 36.3?C observed on 16</span><sup><span style="font-family:Verdana;">th</span></sup><span style="font-family:Verdana;"> February 2011 and 38.6?C observed on 22</span><sup><span style="font-family:Verdana;">nd</span></sup><span style="font-family:Verdana;"> February 2005 for Arusha and Kilimanjaro respectively. These results indicate that The last two decades have been characterized by enhanced warming, which is consistent with overall global temperature trend patterns as depicted in recent IPCC reports and the report of the State of Climate in Africa.