Climate Outlook
AFRICA October 2010 - March 2011
Issued: September 2010
The IRI has prepared this experimental Climate Outlook for Africa for October 2010 - March 2011.
Of relevance in the preparation of this outlook is a high likelihood that the central and eastern tropical Pacific SSTs will be substantially cooler than average during all four of the forecast periods, indicating continuation of moderate to strong La Nina conditions. Such tropical Pacific conditions are indicated in the SST predictions on which these climate forecasts are based (SSTs). See the IRI's ENSO update for a discussion on the ENSO outlook (see IRI Probabilistic ENSO forecast). Near to slightly below average SST is predicted during the first forecast period in the western equatorial Indian Ocean, with above-average SST in the eastern portion. During the later forecast periods the SST in the western and central part of the Indian Ocean basin is predicted to be slightly below average while the far eastern portion remains above average. SSTs in the northern tropical Atlantic are predicted to be above average during all four forecast periods, but more weakly so for the later periods, while in the south tropical Atlantic SSTs are predicted to be slightly below average for all four forecast periods. (October-December 2010, November-January 2011, December-February 2011, January-March 2011).
METHODS -
This Outlook was prepared using the following
procedures and information:
A) Coupled ocean-atmosphere model predictions of tropical Pacific SST
covering the forecast period. Particularly heavy weighting has been
given to predictions from the coupled model operated by the NOAA
National Centers for Environmental Prediction, Climate Modeling Branch.
This model suggests a continuation of near-average conditions during the
first forecast season. The forecast for near-neutral conditions is
consistent with some, but not all, numerical and statistical forecasts
of central and eastern Pacific SSTs.
B) Forecasts of the tropical Indian ocean using a statistical model
developed by the IRI.
C) Global atmospheric general circulation model (GCM) predictions of the
atmospheric response to the present and predicted sea-surface
temperature patterns.
D) Other sources of information include
NASA's
Seasonal to Interannual Prediction Project (GSFC-NASA)
and also seasonal prediction research at COLA.
The procedures, models, and data used to derive this Climate Outlook may
be somewhat different from those used by the national meteorological
services in the region. Thus, this product may differ from the official
forecasts issued in those areas. The Climate Outlook for
October 2010 - March 2011
is dependent on the accuracy of the SST predictions. For the
tropical Pacific, these predictions can be expected to provide useful
information, but there is some uncertainty concerning the evolution of
SSTs. Spread (variation) in global SST predictions is a source of
uncertainty in the Outlook provided here. In particular, the forecasts
for the tropical Indian and Atlantic oceans have been an important
influence on the forecasts over Africa. Note that even if perfectly
accurate SST forecasts were possible, there would still be uncertainty
in the climate forecast due to chaotic internal variability of the
atmosphere. These uncertainties are reflected in the probabilities given
in the forecast.
It is stressed that the current status of seasonal-to-interannual
climate forecasting allows prediction of spatial and temporal averages,
and does not fully account for all factors that influence regional and
national climate variability. This Outlook is relevant only to seasonal
time scales and relatively large areas; local variations should be
expected, and variations within the 3-month period should also be
expected. For further information concerning this and other guidance
products, users are strongly advised to contact their National
Meteorological Services.
OUTLOOK -
This Outlook covers four seasons: October-December 2010
November-January 2011 December-February 2011 and January-March 2011
Maps are given showing tercile probabilities of
precipitation and temperature. The maps for precipitation indicate the
probabilities that the seasonal precipitation will fall into the wettest
third of the years (top number), the middle third of the years (middle
number), or the driest third of the years (bottom number). The color
shading indicates the probability of the most dominant tercile -- that
is, the tercile having the highest forecast probability. The color bar
alongside the map defines these dominant tercile probability levels. The
upper side of the color bar shows the colors used for increasingly
strong probabilities when the dominant tercile is the above-normal
tercile, while the lower side shows likewise for the below-normal
tercile. The gray color indicates an enhanced probability for the
near-normal tercile (nearly always limited to 40%). As before, numbers
and their associated histograms show the probabilities of the three
terciles. In areas with lots of spatial detail, there may not be
sufficient room on the map, to allow histograms for each region. In
those cases, some idea of the probabilities may be gained from the color
alone. A qualitative outlook of climatology ("C") indicates that there
is no basis for favoring any particular category.
Areas that are marked by "D" represent regions for which less than 3cm of
precipitation typically occurs over the season.
Otherwise, for example, in the case of much of southern
Somalia in October-December 2010
(Map A),
there is a 15% probability that the precipitation will be in the
wettest third of the years, a 35% chance it will be in the near-normal
third of the years, and a 50% chance that the precipitation will be in
the driest third of the years.
Maps of temperature show expected probabilities that the seasonal
temperatures will fall into the warmest third of the years, the middle
third of the years, or the coldest third of the years
(Map A).
The numbers for each region on the temperature maps
indicate the probabilities of temperatures to fall in each of the three
categories, above-, near-, and below-normal.
An
additional precipitation map
is provided for the first season indicating probabilities for extreme
precipitation anomalies. Extremes are defined as anomalies that fall
within the top and bottom 15th percentile of the observed records. A
priori, there is a 15% probability of being within the extremely wet
category, and a 15% probability of being within the extremely dry
category, leaving a 70% probability that the precipitation will not be
extreme. The maps indicate areas of increased risk of extreme
precipitation totals. Three levels of increased risk are defined:
slightly enhanced risk, enhanced risk, and greatly enhanced risk. For
slightly enhanced risk, there is a 25-40% probability that precipitation
will be within the indicated extreme, i.e. wet or dry. This represents
an approximate doubling of the climatological risk. For enhanced risk,
there is a 40-50% probability that precipitation will be within the
indicated extreme. This represents an approximate tripling of the
climatological risk. For greatly enhanced risk, the probability that
precipitation will be within the indicated extreme exceeds 50%, i.e. the
indicated extreme is the most likely outcome. A similar map is provided
in the first season indicating probabilities of
extreme temperature
anomalies.
Boundaries between sub-regions should be considered as transition zones,
and their location considered to be only qualitatively correct.
October-December 2010 through January-March 2011
The following tables summarize the precipitation and temperature probability forecasts:
Summary of PRECIPITATION forecast for Africa
Leads 1, 2, 3, and 4 refer, respectively, to the upcoming seasons:
Oct-Nov-Dec Nov-Dec-Jan Dec-Jan-Feb Jan-Feb-Mar
A non-enhanced probability for above or below normal is 33%.
(There is a near-normal category whose non-enhanced probability is also 33%.)
The following countries or regions out of the 49 in Africa
have at least half of their area under a PRECIPITATION forecast for:
At least At least
Substantially slightly slightly Substantially
enhanced enhanced enhanced enhanced
probability probability probability probability
(>48%) for (>38%) for (>38%) for (>48%) for
below normal below normal above normal above normal
BOTSWANA
leads 1,2 and 3
BURUNDI
leads 2 and 3
COTE D*IVOIRE
leads 2,3 and 4
DJIBOUTI
leads 2 and 3
EQ GUINEA
lead 4
ETHIOPIA
lead 2
GUINEA
lead 1
GUINEABISSAU
lead 1
KENYA
leads 1,2 and 3
LESOTHO
leads 1,2,3 and 4
LESOTHO
lead 2
LIBERIA
leads 3 and 4
LIBERIA
lead 1
MALAWI
leads 2,3 and 4
MALAWI
lead 4
MOZAMBIQUE
leads 2,3 and 4
MOZAMBIQUE
lead 4
NAMIBIA
leads 2,3 and 4
RWANDA
leads 1,2 and 3
SOMALIA
leads 1 and 2
SOMALIA
lead 1
SOUTH AFRICA
leads 1,2,3 and 4
SOUTH AFRICA
lead 2
SWAZILAND
leads 1,2,3 and 4
TANZANIA
leads 1,2 and 3
UGANDA
leads 2 and 3
ZAMBIA
leads 3 and 4
ZIMBABWE
leads 1,2,3 and 4
ZIMBABWE
leads 2,3 and 4
Summary of TEMPERATURE forecast for Africa
Leads 1, 2, 3, and 4 refer, respectively, to the upcoming seasons:
Oct-Nov-Dec Nov-Dec-Jan Dec-Jan-Feb Jan-Feb-Mar
A non-enhanced probability for above or below normal is 33%.
(There is a near-normal category whose non-enhanced probability is also 33%.)
The following countries or regions out of the 49 in Africa
have at least half of their area under a TEMPERATURE forecast for:
At least At least
Substantially slightly slightly Substantially
enhanced enhanced enhanced enhanced
probability probability probability probability
(>48%) for (>38%) for (>38%) for (>48%) for
below normal below normal above normal above normal
ALGERIA
lead 1
ANGOLA
lead 1
ANGOLA
leads 2,3 and 4
BENIN
leads 1 and 2
BENIN
lead 1
BENIN
lead 4
BOTSWANA
leads 2,3 and 4
BURKINA FASO
leads 1 and 2
BURKINA FASO
lead 1
BURKINA FASO
lead 4
BURUNDI
lead 1
BURUNDI
leads 3 and 4
CAMEROON
leads 1 and 2
CAMEROON
lead 1
CAMEROON
lead 4
CENTR AFRR REPUB
leads 1 and 2
CENTR AFRR REPUB
lead 1
CENTR AFRR REPUB
lead 4
CHAD
leads 1 and 2
CHAD
lead 1
CONGO
leads 1 and 2
CONGO
lead 1
CONGO
leads 3 and 4
CONGO
lead 4
COTE D*IVOIRE
leads 1 and 2
COTE D*IVOIRE
lead 1
COTE D*IVOIRE
leads 3 and 4
DJIBOUTI
leads 2,3 and 4
EGYPT
leads 1,2 and 3
EGYPT
leads 1 and 2
EQ GUINEA
leads 1 and 2
EQ GUINEA
lead 1
EQ GUINEA
leads 3 and 4
ERITREA
leads 1,2 and 3
ERITREA
lead 1
ETHIOPIA
leads 2,3 and 4
GABON
leads 1 and 2
GABON
lead 1
GABON
leads 3 and 4
GABON
lead 4
GAMBIA
leads 1,2 and 3
GAMBIA
leads 1 and 2
GHANA
leads 1 and 2
GHANA
lead 1
GHANA
lead 4
GUINEA
leads 1 and 2
GUINEA
leads 1 and 2
GUINEA
lead 4
GUINEABISSAU
leads 1 and 2
GUINEABISSAU
leads 1 and 2
KENYA
lead 4
LESOTHO
leads 2,3 and 4
LIBERIA
leads 1 and 2
LIBERIA
leads 1 and 2
LIBERIA
lead 4
LIBYA
leads 1 and 2
LIBYA
leads 1 and 2
MADAGASCAR
lead 3
MALAWI
leads 2,3 and 4
MALAWI
leads 3 and 4
MALI
leads 1 and 2
MALI
lead 1
MALI
lead 4
MAURITANIA
leads 1 and 2
MAURITANIA
lead 1
MAURITANIA
leads 3 and 4
MOROCCO
leads 1 and 2
MOROCCO
lead 1
MOROCCO
leads 3 and 4
MOZAMBIQUE
leads 2,3 and 4
MOZAMBIQUE
lead 3
NAMIBIA
leads 2,3 and 4
NIGER
leads 1 and 2
NIGER
lead 1
NIGERIA
leads 1 and 2
RWANDA
lead 1
RWANDA
leads 3 and 4
SENEGAL
leads 1 and 2
SENEGAL
lead 1
SIERRA LEONE
leads 1 and 2
SIERRA LEONE
leads 1 and 2
SIERRA LEONE
lead 4
SOMALIA
leads 2 and 4
SOUTH AFRICA
leads 2,3 and 4
SUDAN
leads 1,2 and 3
SUDAN
leads 1 and 2
SWAZILAND
leads 2,3 and 4
TANZANIA
leads 3 and 4
TOGO
leads 1 and 2
TOGO
lead 1
TOGO
lead 4
TUNISIA
lead 1
UGANDA
lead 1
UGANDA
lead 1
UGANDA
leads 3 and 4
WESTERN SAHARA
leads 1 and 2
WESTERN SAHARA
lead 1
WESTERN SAHARA
leads 3 and 4
ZAIRE
lead 1
ZAIRE
lead 1
ZAIRE
leads 3 and 4
ZAMBIA
leads 2,3 and 4
ZAMBIA
lead 3
ZIMBABWE
leads 2,3 and 4
ZIMBABWE
leads 3 and 4
OBSERVED CLIMATOLOGY DATA for Oct-Nov-Dec,
Nov-Dec-Jan, Dec-Jan-Feb and Jan-Feb-Mar
CLIMATOLOGICAL AVERAGE:
TERCILE THRESHOLDS (33%-ile & 67%-ile):
EXTREME THRESHOLDS (15%-ile & 85 %-ile):
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