Causes of the Uncertainty in Projections of Tropical Terrestrial Rainfall Change: East Africa

• Published in: Journal of climate 2018-08, Vol.31 (15), p.5977-5995
• Main Authors: Rowell, David P., Chadwick, Robin
• Format: Article
• Language: English
• Subjects: Anomalies; Atmospheric models; Carbon; Carbon dioxide; Climate change; Component reliability; Critical components; Decomposition; Dynamics; Emissions; Identification; Ocean models; Oceans; Precipitation; Projection; Rain; Rainfall; Regional climates; Reliability; Reliability analysis; Remote regions; Sea surface; Studies; Surface temperature; Tropical climate; Tropical environments; Uncertainty
• ISSN: 0894-8755; 1520-0442
• DOI: 10.1175/jcli-d-17-0830.1

Understanding the causes of regional climate projection uncertainty is a critical component toward establishing reliability of these projections. Here, four complementary experimental and decomposition techniques are synthesized to begin to understand which mechanisms differ most between models. These tools include a variety of multimodel ensembles, a decomposition of rainfall into tropics-wide or region-specific processes, and a separation of within-domain versus remote contributions to regional model projection uncertainty. Three East African regions are identified and characterized by spatially coherent intermodel projection behavior, which interestingly differs from previously identified regions of coherent interannual behavior. For the “Short Rains” regions, uncertainty in projected seasonal mean rainfall change is primarily due to uncertainties in the regional response to both the uniform and pattern components of SST warming (but not uncertainties in the global mean warming itself) and a small direct CO₂ impact. These primarily derive from uncertain regional dynamics over both African and remote regions, rather than globally coherent (thermo)dynamics. For the “Long Rains” region, results are similar, except that uncertain atmospheric responses to a fixed SST pattern change are a little less important, and some key regional uncertainties are primarily located beyond Africa. The latter reflects the behavior of two outlying models that experience exceptional warming in the southern subtropical oceans, from which large lower-tropospheric moisture anomalies are advected by the mean flow to contribute to exceptional increases in the Long Rains totals. Further research could lead to a useful assessment of the reliability of these exceptional projections.