scholarly journals Supplementary material to "Simulated Hydrologic Response to Projected Changes in Precipitation and Temperature in the Congo River Basin"

Author(s):  
Noel Aloysius ◽  
James Saiers
2016 ◽  
Author(s):  
Noel Aloysius ◽  
James Saiers

Abstract. Assessing the impacts of climate change on water resources of the Congo River Basin (CRB) has attracted widespread interest; however, efforts are hindered by the lack of long-term data availability. Of particular interest to water resource planners and policy makers is the spatiotemporal variability of runoff due to the projected changes in climate. Here, with the aid of a spatially explicit hydrological model forced with precipitation and temperature projections from 25 global climate models (GCMs) under two greenhouse gas emission scenarios, we elucidate the variability in runoff in the near (2016–2035) and mid (2046–2065) 21st century compared to present. Over the equatorial, northern and southwestern CRB, models project an overall increase in precipitation and, subsequently runoff. A decrease in precipitation in the headwater regions of southeastern Congo, leads to a decline in runoff. Climate model selection plays an important role in precipitation projections, for both magnitude and direction of change. Model consensus on the magnitude and the sign (increase or decrease) of change is strong in the equatorial and northern parts of the basin, but weak in the southern basin. The multi-model approach reveals that near-term projections are not impacted by the emission scenarios. However, the mid-term projections depend on the emission scenario. The projected increase in accessible runoff (excluding flood runoff) in most parts of CRB presents new opportunities for augmenting human appropriation of water resources; at the same time, the increase in quick runoff poses new challenges. In the southeast, with the projected decrease, the challenge will be on managing the increasing demands with limited water resources.


2017 ◽  
Vol 21 (8) ◽  
pp. 4115-4130 ◽  
Author(s):  
Noel Aloysius ◽  
James Saiers

Abstract. Despite their global significance, the impacts of climate change on water resources and associated ecosystem services in the Congo River basin (CRB) have been understudied. Of particular need for decision makers is the availability of spatial and temporal variability of runoff projections. Here, with the aid of a spatially explicit hydrological model forced with precipitation and temperature projections from 25 global climate models (GCMs) under two greenhouse gas emission scenarios, we explore the variability in modeled runoff in the near future (2016–2035) and mid-century (2046–2065). We find that total runoff from the CRB is projected to increase by 5 % [−9 %; 20 %] (mean – min and max – across model ensembles) over the next two decades and by 7 % [−12 %; 24 %] by mid-century. Projected changes in runoff from subwatersheds distributed within the CRB vary in magnitude and sign. Over the equatorial region and in parts of northern and southwestern CRB, most models project an overall increase in precipitation and, subsequently, runoff. A simulated decrease in precipitation leads to a decline in runoff from headwater regions located in the northeastern and southeastern CRB. Climate model selection plays an important role in future projections for both magnitude and direction of change. The multimodel ensemble approach reveals that precipitation and runoff changes under business-as-usual and avoided greenhouse gas emission scenarios (RCP8.5 vs. RCP4.5) are relatively similar in the near term but deviate in the midterm, which underscores the need for rapid action on climate change adaptation. Our assessment demonstrates the need to include uncertainties in climate model and emission scenario selection during decision-making processes related to climate change mitigation and adaptation.


2016 ◽  
Vol 9 (9) ◽  
pp. 687-690 ◽  
Author(s):  
Enno Schefuß ◽  
Timothy I. Eglinton ◽  
Charlotte L. Spencer-Jones ◽  
Jürgen Rullkötter ◽  
Ricardo De Pol-Holz ◽  
...  

Mammalia ◽  
2008 ◽  
Vol 72 (3) ◽  
Author(s):  
Mbalitini Gambalemoke ◽  
Itoka Mukinzi ◽  
Drazo Amundala ◽  
Tungaluna Gembu ◽  
Kyamakya Kaswera ◽  
...  

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