Atmospheric Radiation Measurement Climate Research Facility US Department of Energy

aerioe > AERIoe Thermodynamic Profile and Cloud RetrievalVAP Type(s) > Baseline • Guest

The Atmospheric Emitted Radiance Interferometer Optimal Estimation (AERIOE) value-added product (VAP) provides boundary-layer profiles of temperature and water vapor mixing ratio and liquid cloud retrievals.

AERIOE helps retrieve profiles in both clear and cloudy conditions so users can better understand the processes taking place in the boundary layer. The high-time-resolution retrievals of boundary-layer thermodynamic profiles provide new information about the evolution of the boundary layer that is difficult to measure. Improved liquid water path retrievals in optically thin clouds from AERIOE allow better quantification of cloud microphysical properties in clouds such as shallow cumulus.

The AERIOE retrieval algorithm (Turner and Löhnert 2014; Turner and Blumberg 2019) uses an optimal estimation framework to derive cloud and thermodynamic profiles using AERI radiances and additional inputs.

Locations

  • Fixed
  • AMF1
  • AMF2
  • AMF3

2021

Turner D and U Löhnert. 2021. "Ground-based temperature and humidity profiling: combining active and passive remote sensors." Atmospheric Measurement Techniques, 14(4), 10.5194/amt-14-3033-2021.

Varble A, S Nesbitt, P Salio, J Hardin, N Bharadwaj, P Borque, P DeMott, Z Feng, T Hill, J Marquis, A Matthews, F Mei, R Öktem, V Castro, L Goldberger, A Hunzinger, K Barry, S Kreidenweis, G McFarquhar, L McMurdie, M Pekour, H Powers, D Romps, C Saulo, B Schmid, J Tomlinson, S van den Heever, A Zelenyuk, Z Zhang, and E Zipser. 2021. "Utilizing a Storm-Generating Hotspot to Study Convective Cloud Transitions: The CACTI Experiment." Bulletin of the American Meteorological Society, 102(8), 10.1175/BAMS-D-20-0030.1.

Ye J, L Liu, Q Wang, S Hu, and S Li. 2021. "A Novel Machine Learning Algorithm for Planetary Boundary Layer Height Estimation Using AERI Measurement Data." IEEE Geoscience and Remote Sensing Letters, , 10.1109/LGRS.2021.3073048. ONLINE.

2020

Degelia S, X Wang, D Stensrud, and D Turner. 2020. "Systematic Evaluation of the Impact of Assimilating a Network of Ground-Based Remote Sensing Profilers for Forecasts of Nocturnal Convection Initiation during PECAN." Monthly Weather Review, 148(12), 10.1175/MWR-D-20-0118.1.


View All Related Publications

Contact

Damao Zhang
Translator
Pacific Northwest National Laboratory

View All VAP Translators