"The 2010 RUFORUM Biennial Conference was the second in the series. The main objective of the Biennial conferences is to provide a platform for agricultural research for development stakeholders in Africa and beyond to actively exchange findings and experiences, while at the same time learning lessons towards improving performance of the agricultural sector and ultimately people’s livelihoods. The biennial conference is RUFORUM’s most comprehensive meeting for the diversity of stakeholers in agriculture. It is especially dedicated to graduate students and their supervisors, grantees in RUFORUM member universities and alumni. It is a platform for peer review, quality control, mentorship, networking and shared learning. This record contains an extended abstract accepted under the theme climate change".
Assessment of climate change scenarios and variability in Uganda
Abstract:
Understanding how climate will change over time provides a
valuable insight into how the challenges as result of climate
change (CC) and variability can be responded to. The general
objective of the study was to generate information to guide
activities geared towards building resilience of agro-based
communities in adapting to and mitigating present and future
climate change and variability impacts. Specifically, it assessed
the performance of different global climate models (GCMs) in
the MAGICC/Scengen tool with the view to obtain the best
combination to be used for downscaling for projecting climate
change and variability in Uganda. The preliminary results show
ECHO-G and UKHADCM3 as the best projectors of climate
change and variability in Uganda.
Comprendre comment le climat va changer au fil du temps
fournit des indications précieuses sur la façon dont les défis
résultant du changement climatique (CC) et la variabilité
peuvent être résolus. L’objectif général de cette étude était de
produire des informations pour orienter les activités visant à
renforcer la résilience des communautés à base agricole de
s’adapter et à atténuer les impactes actuels et futurs du
changement climatique et de la variabilité. Plus précisément, il
a évalué les performances de différents modèles climatiques
globaux (MCG) dans l’outil MAGICC / SCENGEN en vue
d’obtenir la meilleure combinaison à utiliser pour la réduction
d’échelle pour projeter les changements climatiques et la
variabilité en Ouganda. Les résultats préliminaires montrent
que ECHO-G et UKHADCM3 sont les meilleurs des projecteurs du changement climatique et de la variabilité en
Ouganda.
Language:
English
Date of publication:
2010
Country:
Region Focus:
East Africa
University/affiliation:
Collection:
RUFORUM Conferences and Workshops
Agris Subject Categories:
Agrovoc terms:
Additional keywords:
Licence conditions:
Open Access
Access restriction:
Form:
Printed resource
Publisher:
Extent:
1441-1444
Notes:
