Are contrail cirrus climate effects predictable
U. Schumann
Abstract
Open-access reader
U. Schumann
Abstract
Open-access reader
The climate impact of aviation may be minimized by selecting routes with minimum warming from contrail cirrus and CO2. Such an approach requires sufficient scientific understanding. Moreover, it requires accurate predictions of contrails forming for the planned and possible alternative flight routes together with fuel consumption and radiative forcing. During the Mid-Latitude Cirrus experiment (ML-CIRRUS) in March/April 2014, contrail-cirrus predictions were performed quasi operationally by the Contrail Cirrus Prediction model CoCiP. Here we present comparisons to observations. Contrail cirrus optical depth, a basic input for radiative forcing calculation, is shown to be predictable to some degree depending on several parameters. Most important are accurate numerical weather prediction input for the time period from departure until about one day after arrival, fuel consumption along the various alternative routes, and soot particle number emissions. In addition some open issues of basic understanding will be identified.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
The climate impact of aviation may be minimized by selecting routes with minimum warming from contrail cirrus and CO2. Such an approach requires sufficient scientific understanding. Moreover, it requires accurate predictions of contrails forming for the planned and possible alternative flight routes together with fuel consumption and radiative forcing. During the Mid-Latitude Cirrus experiment (ML-CIRRUS) in March/April 2014, contrail-cirrus predictions were performed quasi operationally by the Contrail Cirrus Prediction model CoCiP. Here we present comparisons to observations. Contrail cirrus optical depth, a basic input for radiative forcing calculation, is shown to be predictable to some degree depending on several parameters. Most important are accurate numerical weather prediction input for the time period from departure until about one day after arrival, fuel consumption along the various alternative routes, and soot particle number emissions. In addition some open issues of basic understanding will be identified.
Key concepts: Cirrus, Radiative forcing, Environmental science, Forcing (mathematics), Meteorology, Atmospheric sciences, Radiative transfer, Fuel efficiency