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SOURCES OF PRECIPITATION OVER EQUATORIAL CENTRAL AFRICA 1 1 1 2 2 Owen Collins , Ellen Dyer , Dylan Jones , David Noone , Jesse Nusbaumer 1University of Toronto, 2University of Colorado Boulder 3. Meteorology 1. Introduction Equatorial Central Africa (hereafter referred to as ECA) is a major global convective region that plays a large role in the global circulation. Additionally, ECA is climatically important due to its extensive rainforest; second largest in the world after the Amazon. Many of the farmers in the area depend on the high natural rainfall and do not have any other form of irrigation. ECA is a chronically understudied region. This is compounded by the lack of gauge data in the region. Climate models show a wide range of variance in precipitation over the region, differing by as much as a factor of 3. We present here a study of the factors driving precipitation over ECA, with a particular focus on March, April, & May (hereafter referred to as MAM). The ECA region spans from 5°S to 5°N, & 12.5E° to 30°E. This is the same region used in many papers. 2. Tools & Techniques Python was used with NumPy & Matplotlib to process data and create plots Data Sources: ECMWF (European Centre for Medium-range Weather Forecasts): ERA Interim reanalysis data, which is based on real-world observations that have been combined with a climate model (that includes atmosphere, land surface, ocean, sea ice, and the carbon cycle processes). Earliest ERA Interim data is 1979. It is a continuation of the older ERA-40 dataset. Contains a large number of atmospheric variables. All of plots, except for those from the watertagging, use this data. MAM precipitation is centered around the equator (location of the ITCZ at this time). Dominant winds are southeasterly below the equator, and northeasterly above the equator (trade winds). In MAM (left) convergence and uplifting (ITCZ) clearly occurs in ECA (between 5°S & 5°N). Compare to JJA (top-right) and DJF (bottom-right), where the ITCZ is north and south of ECA, respectively. These winds were averaged from 12.5°E to 30°E. Seasonal cycle of evaporation/precipitation. Precipitation exceeds evaporation in almost all months, suggesting that non-local moisture sources are crucial. Note the MAM rainfall maximum. 4. Moisture Flux & Divergence Isocam CESM 1.2: A new version of the CESM model that has the capability to tag water vapour from the surface in user-defined regions and track where the vapour from those regions gets transported and precipitated. This data set is used for all of the watertagging plots. Earliest data is 1980. Both CESM models were run by Ellen Dyer. FAMIP CESM 1.0.4: Uses active atmosphere and land models with data ocean. Shows similarities with isocam data, however it has different cloud cover and convection schemes. Earliest data is 1940. CESM (Community Earth System Model): A climate model that uses pre-defined sea surface temperatures (data ocean). F / P0 0 F qV / g dp F dl F dl A (1) ( 2) Equation 1 is used to quantify moisture flux through a column of air. Specific humidity (q) is multiplied by meridional (ϕ) or zonal (λ) wind velocity (V). It is integrated across a vertical column assuming hydrostatic equilibrium. Equation 2 integrates the net fluxes along the boundaries of a region, then divides by the area to calculate divergence (Divergence Theorem). Moisture flux is dominated by southeasterly systems, especially from the western Indian Ocean. ECA is generally convergent. Note the correlation between convergence and precipitation. Throughout MAM, the net flux tends to be convergent at lower levels, and divergent at higher levels, as the Walker & Hadley Cells would suggest. Meridional net flux is convergent at a higher level, which approximately corresponds to the African Easterly Jet (AEJ). This can be explained as convergence between the northern & southern AEJs. The northern & southern AEJs can be seen as two cores in the net zonal plot. 5. Watertagging: CESM 1.2 Moisture source regions. Moisture recycling ratio of the areas surrounding ECA. This is the ratio of precipitation from the DRC region to total precipitation. Southern ECA was seen to have more moisture convergence ∴ less local moisture sources. Relative contributions of each region’s evaporated moisture to MAM ECA rainfall. Moisture flux is convergent (negative) all year. Minima in divergence align with maxima in precipitation. The MAM minima is largely brought about by meridional convergence. Net vertical flux of moisture. The ITCZ is clearly visible as a zone of upward movement. 6. Conclusions • Quantitative results have been examined for March-April-May precipitation, winds, moisture flux, and watertagged precipitation. MAM is one of two yearly precipitation maxima that coincides with the passing of the ITCZ through the region. • Moisture flux is mainly easterly, and is convergent over ECA during MAM. The largest source of this is mid-level meridional convergence, likely caused by the AEJ-north and AEJ-south. • Watertagging results suggest that East Africa and the western Indian Ocean are the most important non-local sources of moisture. These sources experience significant interannual variability during MAM, which is related to the Indian Ocean Dipole. Monthly precipitation cycle, 1980-2001, by source. DRC, Ind4, and EAFS are the most important sources in MAM. Overall, differences are positive, except for ARHL & Other. Regions to the east of ECA have the largest positive difference. Yearly changes in MAM rainfall. A 3-4 year cycle is visible in many of the sources to the east of ECA, such as Eastern African (EAFS) & the Indian Ocean (Ind) sources. This may be caused by the Indian Ocean Dipole, a fluctuation in the east-west sea surface temperatures. An index of the Indian Ocean Dipole is provided (IOD, dotted line). • To improve understanding of the precipitation and climate in the region, more observational data is needed. The number of reporting weather stations in the region must be increased. Radiosondes and AMDAR could be a suitable short-term solution.