Monitoring spatio-temporal changes of aerosols is necessary to better understand atmospheric processes. Here, the vertical distribution and how it has changed from 2006 2017 studied using time series data Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument on board Infrared Pathfinder Satellite Observation (CALIPSO) satellite. Aerosol centroid altitude, a variable representing ...

Clouds are crucial for Earth's climate and radiation budget. Great attention has been paid to low, high and vertically thick tropospheric clouds such as stratus, cirrus and deep convective clouds. However, much less is known about tropospheric mid-level clouds as these clouds are challenging to observe in situ and difficult to detect by remote sensing techniques. Here we use Cloud-Aerosol Lidar...

In this paper, we present validation of the cloud aerosol lidar with orthogonal polarization (CALIOP) level 1 and 2 tropospheric aerosols products in coincidence to Micro Pulse Lidar (MPL) observations under different sky conditions seasons during March 2016–December 2018 over a tropical coastal station Kattankulathur (12.83oN, 80.04oE). total, 33 simultaneous profiles clear-sky (18 cases) clou...

Abstract. Despite the importance of aerosol height information for events such as volcanic eruptions and long-range transport, spatial coverage its retrieval is often limited because a lack appropriate instruments algorithms. Geostationary satellite observations in particular provide constant monitoring events. This study assessed application different viewing geometries pair geostationary imag...

Investigations of the effects clouds on Earth’s radiation budget demand accurate representations cloud top parameters, which can be efficiently obtained by large-scale satellite remote sensing approaches. However, insufficient utilization multiband information is one major sources uncertainty in products derived from geostationary satellites. In this study, we developed a new algorithm to estim...

The integration of observations and models can improve air quality forecasts (in particular ozone (O3) particulate matter (PM)) for extreme events (e.g., wildfires). We present our work on the Canadian wildfire event 6–12 June 2015 that impacted in Mid-Atlantic region U.S. use Weather Research Forecasting model coupled with Chemistry package (WRF-Chem), various measurements from both ground-bas...