4.7 Article

Future Changes in Seasonality in East Africa from Regional Simulations with Explicit and Parameterized Convection

Journal

JOURNAL OF CLIMATE
Volume 34, Issue 4, Pages 1367-1385

Publisher

AMER METEOROLOGICAL SOC
DOI: 10.1175/JCLI-D-20-0450.1

Keywords

Africa; Precipitation; Climate change; Convective parameterization; Seasonal cycle

Funding

  1. Natural Environment Research Council/Department for International Development (NERC/DFID) via the Future Climate for Africa (FCFA) [NE/M020371/1, NE/M02038X/1, NE/M019985/1]
  2. National Centre for Atmospheric Science via the NERC/GCRF programme Atmospheric Hazard in Developing Countries: Risk Assessment and Early Warning (ACREW)
  3. NERC/DFID BRAVE project [NE/M008983/1]
  4. Global Challenges Research Fund project, SatWIN-ALERT [NE/R014116/1]
  5. NERC [NE/M019985/1, ncas10016, NE/M02038X/1] Funding Source: UKRI
  6. Natural Environment Research Council [NE/M02038X/1] Funding Source: researchfish

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The East African precipitation seasonal cycle is of significant societal importance, but current global climate models do not accurately capture this seasonality. The use of convective parameterization schemes is a known source of precipitation bias in such models. A comparison between a high-resolution regional model with explicit convection and a corresponding parameterized-convection simulation reveals differences in capturing East Africa precipitation seasonality. Both models show changes in timing and intensity of short rains under future climate change.
The East African precipitation seasonal cycle is of significant societal importance, and yet the current generation of coupled global climate models fails to correctly capture this seasonality. The use of convective parameterization schemes is a known source of precipitation bias in such models. Recently, a high-resolution regional model was used to produce the first pan-African climate change simulation that explicitly models convection. Here, this is compared with a corresponding parameterized-convection simulation to explore the effect of the parameterization on representation of East Africa precipitation seasonality. Both models capture current seasonality, although an overestimate in September-October in the parameterized simulation leads to an early bias in the onset of the boreal autumn short rains, associated with higher convective instability and near-surface moist static energy. This bias is removed in the explicit model. Under future climate change both models show the short rains getting later and wetter. For the boreal spring long rains, the explicit convection simulation shows the onset advancing but the parameterized simulation shows little change. Over Uganda and western Kenya both simulations show rainfall increases in the January-February dry season and large increases in boreal summer and autumn rainfall, particularly in the explicit convection model, changing the shape of the seasonal cycle, with potential for pronounced socioeconomic impacts. Interannual variability is similar in both models. Results imply that parameterization of convection may be a source of uncertainty for projections of changes in seasonal timing from global models and that potentially impactful changes in seasonality should be highlighted to users.

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