Variability in modelled reservoir greenhouse gas emissions: comparison of select US hydropower reservoirs against global estimates

by Colleen McNally-Murphy | Jan 9, 2023

Abstract: Greenhouse gas (GHG) emissions from reservoirs have most often been evaluated on a global extent through areal scaling or linear-regression models. These models typically rely on a limited number of characteristics such as age, size, and average temperature...

Anthropogenically driven climate and landscape change effects on inland water carbon dynamics: What have we learned and where are we going?

by Colleen McNally-Murphy | Jul 20, 2022

Abstract: Inland waters serve as important hydrological connections between the terrestrial landscape and oceans but are often overlooked in global carbon (C) budgets and Earth System Models. Terrestrially derived C entering inland waters from the watershed can be...

Getting lost tracking the carbon footprint of hydropower

by Colleen McNally-Murphy | Jul 1, 2022

Abstract: In the transition to low-carbon electricity, well-quantified estimates of carbon dynamics are needed to ensure that emissions reduction targets are achieved. We review the state of the science on carbon accounting for hydropower reservoirs and identify...

Year-2020 Global Distribution and Pathways of Reservoir Methane and Carbon Dioxide Emissions According to the Greenhouse Gas From Reservoirs (G-res) Model

by Colleen McNally-Murphy | May 26, 2021

Abstract Collectively, reservoirs constitute a significant global source of C-based greenhouse gases (GHGs). Yet, global estimates of reservoir carbon dioxide (CO2) and methane (CH4) emissions remain uncertain, varying more than four-fold in recent analyses. Here we...

Greenhouse Gas Emissions from Freshwater Reservoirs: What Does the Atmosphere See?

by Colleen McNally-Murphy | Jan 1, 2019

Abstract: Freshwater reservoirs are a known source of greenhouse gas (GHG) to the atmosphere, but their quantitative significance is still only loosely con- strained. Although part of this uncertainty can be attributed to the difficulties in measuring highly variable...