Comments on the manuscript "Regional effects of atmospheric aerosols on temperature: an evaluation of an ensemble of on-line coupled models", by Baró et al.

2017 ◽  
Author(s):  
Anonymous
Keyword(s):  
Atmospheric Aerosols ◽  
Coupled Models ◽  
Regional Effects ◽  
On Line

scholarly journals Regional effects of atmospheric aerosols on temperature: an evaluation of an ensemble of on-line coupled models

2017 ◽  
Author(s):  
Rocío Baró ◽  
Laura Palacios-Peña ◽  
Alexander Baklanov ◽  
Alessandra Balzarini ◽  
Dominik Brunner ◽  
...  
Keyword(s):  
Atmospheric Aerosols ◽  
Forest Fires ◽  
Atmospheric Aerosol ◽  
Correlation Coefficients ◽  
Coupled Models ◽  
Climate Effect ◽  
On Line ◽  
Simulation Results ◽  
Radiative Feedbacks ◽  
Aerosol Radiative

Abstract. The climate effect of atmospheric aerosols is associated to their influence on the radiative budget of the Earth due to direct aerosol-radiation interactions (ARI) and indirect effects, resulting from aerosol-cloud interactions (ACI). On-line coupled meteorology-chemistry models permit the description of these effects on the basis of simulated atmospheric aerosol concentrations, although there is still some uncertainty associated to the use of these models. In this sense, the objective of this work is to assess whether the inclusion of atmospheric aerosol radiative feedbacks of an ensemble of on-line coupled models improves the simulation results for maximum, mean and minimum temperature over Europe. The evaluated model outputs originate from EuMetChem COST Action ES1004 simulations for Europe, differing in the inclusion (or omission) of ARI and ACI in the various models. The case studies cover two important atmospheric aerosol episodes over Europe in the year 2010, a heat wave and forest fires episode (July–August 2010) and a more humid episode including a Saharan desert dust outbreak in October 2010. The simulation results are evaluated against observational data from E-OBS gridded database. The results indicate that, although there is only a slight improvement in the bias of the simulation results when including the radiative feedbacks, the spatio-temporal variability and correlation coefficients are improved for the cases under study when atmospheric aerosol radiative effects are included, especially for those areas closest to emissions sources of atmospheric aerosols.

scholarly journals Regional effects of atmospheric aerosols on temperature: an evaluation of an ensemble of online coupled models

2017 ◽  
Vol 17 (15) ◽  
pp. 9677-9696 ◽  
Author(s):  
Rocío Baró ◽  
Laura Palacios-Peña ◽  
Alexander Baklanov ◽  
Alessandra Balzarini ◽  
Dominik Brunner ◽  
...  
Keyword(s):  
Atmospheric Aerosols ◽  
Atmospheric Aerosol ◽  
Correlation Coefficients ◽  
Spatiotemporal Variability ◽  
Coupled Models ◽  
Climate Effect ◽  
Wave Event ◽  
Simulation Results ◽  
Radiative Feedbacks ◽  
Aerosol Radiative

Abstract. The climate effect of atmospheric aerosols is associated with their influence on the radiative budget of the Earth due to the direct aerosol–radiation interactions (ARIs) and indirect effects, resulting from aerosol–cloud–radiation interactions (ACIs). Online coupled meteorology–chemistry models permit the description of these effects on the basis of simulated atmospheric aerosol concentrations, although there is still some uncertainty associated with the use of these models. Thus, the objective of this work is to assess whether the inclusion of atmospheric aerosol radiative feedbacks of an ensemble of online coupled models improves the simulation results for maximum, mean and minimum temperature at 2 m over Europe. The evaluated models outputs originate from EuMetChem COST Action ES1004 simulations for Europe, differing in the inclusion (or omission) of ARI and ACI in the various models. The cases studies cover two important atmospheric aerosol episodes over Europe in the year 2010: (i) a heat wave event and a forest fire episode (July–August 2010) and (ii) a more humid episode including a Saharan desert dust outbreak in October 2010. The simulation results are evaluated against observational data from the E-OBS gridded database. The results indicate that, although there is only a slight improvement in the bias of the simulation results when including the radiative feedbacks, the spatiotemporal variability and correlation coefficients are improved for the cases under study when atmospheric aerosol radiative effects are included.

scholarly journals An assessment of aerosol optical properties from remote-sensing observations and regional chemistry–climate coupled models over Europe

2018 ◽  
Vol 18 (7) ◽  
pp. 5021-5043 ◽  
Author(s):  
Laura Palacios-Peña ◽  
Rocío Baró ◽  
Alexander Baklanov ◽  
Alessandra Balzarini ◽  
Dominik Brunner ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Optical Properties ◽  
Atmospheric Aerosols ◽  
Climate Models ◽  
Regional Climate ◽  
Chemical Properties ◽  
Remote Sensing Data ◽  
Regional Climate Models ◽  
Aerosol Optical Properties ◽  
Coupled Models

Abstract. Atmospheric aerosols modify the radiative budget of the Earth due to their optical, microphysical and chemical properties, and are considered one of the most uncertain climate forcing agents. In order to characterise the uncertainties associated with satellite and modelling approaches to represent aerosol optical properties, mainly aerosol optical depth (AOD) and Ångström exponent (AE), their representation by different remote-sensing sensors and regional online coupled chemistry–climate models over Europe are evaluated. This work also characterises whether the inclusion of aerosol–radiation (ARI) or/and aerosol–cloud interactions (ACI) help improve the skills of modelling outputs.Two case studies were selected within the EuMetChem COST Action ES1004 framework when important aerosol episodes in 2010 all over Europe took place: a Russian wildfire episode and a Saharan desert dust outbreak that covered most of the Mediterranean Sea. The model data came from different regional air-quality–climate simulations performed by working group 2 of EuMetChem, which differed according to whether ARI or ACI was included or not. The remote-sensing data came from three different sensors: MODIS, OMI and SeaWIFS. The evaluation used classical statistical metrics to first compare satellite data versus the ground-based instrument network (AERONET) and then to evaluate model versus the observational data (both satellite and ground-based data).Regarding the uncertainty in the satellite representation of AOD, MODIS presented the best agreement with the AERONET observations compared to other satellite AOD observations. The differences found between remote-sensing sensors highlighted the uncertainty in the observations, which have to be taken into account when evaluating models. When modelling results were considered, a common trend for underestimating high AOD levels was observed. For the AE, models tended to underestimate its variability, except when considering a sectional approach in the aerosol representation. The modelling results showed better skills when ARI+ACI interactions were included; hence this improvement in the representation of AOD (above 30 % in the model error) and AE (between 20 and 75 %) is important to provide a better description of aerosol–radiation–cloud interactions in regional climate models.

Development and adaptation of sensors and samplers for vertical profiling using fixed-wing drones in the context of the Cooperation to Unravel the RolE of Atmospheric Aerosols over the Amazonian Basin (CURE-3AB).

2021 ◽  
Author(s):  
Maximilien Desservettaz ◽  
Christos Keleshis ◽  
Panayiota Antoniou ◽  
Panagiotis Vouterakos ◽  
Yunsong Liu ◽  
...  
Keyword(s):  
Atmospheric Aerosols ◽  
Amazon Basin ◽  
Low Cost ◽  
Lower Troposphere ◽  
Preliminary Test ◽  
Custom Made ◽  
Vertical Profiling ◽  
Atmospheric Observations ◽  
On Line

<p>The Cooperation to Unravel the Role of the Atmospheric Aerosol over the Amazon Basin using drones (CURE-3AB) project has yielded new technical solutions to perform high quality in-situ atmospheric observations in the lower troposphere (0-2 km) with Unmanned Aerial Vehicles (UAVs). An Ozonesonde (EN-SCI ECC, Model 2Z), designed for regular O3 radio sounding, has been adapted to perform on-line measurements of Ozone onboard the drone. A 3D printed low-cost pollen/spore collector has been developed to replicate reference instruments (VPPS2000) and adapted to perform onboard our UAV. Finally, an optical particle counter (AlphaSense) and a custom-made drying system have been fitted on a third drone. The three vehicle/instrument tandems will be deployed in the proximity of the Amazonian Tall Tower Observatory during the CURE-3AB campaign (delayed due to pandemic). We present the instrumental developments, setups, and preliminary test results performed with our UAVs at the Cyprus Institute private airspace.</p>

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