CLIVAR AFRICA Panel meeting Abidjan 7-9 May 1998  
 
RECOMMENDATIONS FOR RESEARCH  
GLOBAL TELECONNECTIONS
In this theme, a priority for research is the better understanding of oceanic teleconnections to African climate variability.

1.1 In respect of modelling efforts:

  1.2 Empirical and diagnostic studies - inherently regional in character and pursued jointly with numerical studies. For particular attention are key atmospheric and coupled structures:

- jets and atmospheric fluxes
- cellular patterns around Africa and surrounding monsoons
- tropical zonal flows and waves (Walker, MJO)
- extra-tropical flows and linkages (NAO, frontal systems, etc)
- interaction with heat lows in semi-arid zones
- wave propogation into and from the continent
- forcing of tropical convection
- tropical cyclone genesis and flow adjustments
- moisture advection including vertical structure
- seasonality and the annual cycle

  · identification of structures of variability in datasets, with focus on scale interactions (eg. intra-annual) and non-linearity

1.3 Observations and Data

· expand ocean observations over the tropics near Africa (eg. PIRATA, TRITON) consistent with modelling needs for assimilation, noting that understanding will depend on observations

paleo records - diaries, oceanic core, etc 1.4 Process studies 1.5 Capacity building - making data sets available
- transfer of models
- interconnectivity with other WCRP programmes to improve data dissemination

 

A plan of action is required to link global and regional research projects involving: - design of field studies
- model simulations and sensitivity tests
- data set creation
- training, logistics, meetings
- joint model and diagnostic studies
- research exchange programmes
  2. CONTINENTAL-SCALE PROCESSES 2.1 Modelling and numerical experiments - focus on performance of high resolution regional climate models in respect of: - seasonal cycle and climatological means

- intraseasonal variability

- synoptic weather systems

- convection statistics

- interannual to decadal fluctuations

 

Model intercomparison should be investigated for

  Simple models are needed to improve understanding for inter-annual to decadal variability, background state changes, etc. Regional models can be used to guide the design of observing networks.

 

2.2 Empirical diagnostic studies - call for research projects to use a mix of reanalysis and station data to validate results. Suggested focus:

· small scale boundary layer processes

· nature of intra-seasonal variability and modulation by annual cycle

· diagnosis of interannual and decadal variability

Describe teleconnections within Africa in terms of historical rainfall, and in recent decades with reanalysis products using dynamical variables.

2.3 Observations and Data

station network - building of research data sets, yet maintaining realtime availability; need for missing value indicator  satellite sensed data: tropical rainfall monitoring mission - should consider African needs and expertise in rainfall estimation algorithms

Radiosondes - need to define and maintain a minimum network

Reanalysis data is considered crucial, but there is a need to validate with actual observations
Fine scale observations may be needed to verify detailed modelling processes, comparison with existing studies (eg. HAPEX) essential
Identify where field experiments are needed, eg. Equatorial Africa Paleo-records: should be used to place decadal variability in context - investigate travel journals, tree rings, dust deposits, etc

2.3 Process Studies African climatic variability is unique in many ways. There is a need to go beyond ITCZ movement - to describe the characteristics of convection and links to surrounding monsoon circulation systems.
The size of Africa brings unique land-atmosphere interactions particularly in the tropics. Its size and symmetry around equator are important factors. There is a need for regionalised studies to:
  2.4 Capacity Building   PREDICTABILITY

3.1 Modelling and numerical studies

3.2 Empirical and diagnostic studies 3.3 Observations and Data Further develop calibration and validation procedures for remote sensing data for use in predictive models. 3.4 Process studies 3.5 Capacity building Home Page
 
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