Abstract
Active sensors such as Cloud–Aerosol Lidar with Orthogonal Polarization (CALIOP) aboard Cloud–Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) and Cloud Profiling Radar (CPR) aboard CloudSat are known to have great advantages in examining cloud vertical structures. However, these sensors were designed for a relatively short lifespan (;3 yr), and trends using a combination of CALIPSO and CloudSat (CALCS) have yet to be explored. When clouds detected by CALCS are filtered for known sensitivity differences, the trends from the merged CALCS agree well with Moderate Resolution Imaging Spectroradiometer (MODIS) cloud trends from 2008 to 2017. Both CALCS and MODIS capture common features, although there are differences in high-level cloud altitudes. These trends are decomposed into El Niño–Southern Oscillation (ENSO) and non-ENSO components using a regression model with the multivariate ENSO index (MEI). The non-ENSO component is related to the cloud amount increase over the Arctic and the upward shift of high clouds (i.e., rising high clouds) over 608S–608N. The rising high clouds are further verified using MODIS measurements for the extended period from 2005 to 2022. Even though altitudes of high clouds rose, their cloud temperatures remained similar, supporting the fixed anvil temperature (FAT) hypothesis.
| Original language | English |
|---|---|
| Pages (from-to) | 2605-2622 |
| Number of pages | 18 |
| Journal | Journal of Climate |
| Volume | 38 |
| Issue number | 11 |
| DOIs | |
| Publication status | Published - Jun 2025 |
Austrian Fields of Science 2012
- 105204 Climatology
- 105205 Climate change
Keywords
- Climate change
- Cloud cover
- Lidars/Lidar observations
- Longwave radiation
- Radars/Radar observations
- Satellite observations