U.S. Department of EnergyOffice of Scientific and Technical Information
NREL ASSIST Barge / Thermodynamic retrievals TROPoe v0.19
Abstract
This dataset contains daily files with thermodynamic profiles retrieved with the optimal estimation physical retrieval TROPoe v0.19 (Turner and Löhnert, 2014; Turner and Blumberg, 2019; Turner and Löhnert, 2021). The profiles are retrieved every 10 minutes from instantaneous observations from the NREL ASSIST-II (SN 12) infrared spectrometer. Observations are noise-filtered but not averaged in time to minimize errors due to non-uniform clouds. Additional input data in TROPoe are cloud base height from a collocated NREL Vaisala CL51 ceilometer (when available) or vertically staring Halo XR lidar, and surface temperature, relative humidity, and pressure from the collocated Oregon State University met tower. The full pipeline to run the retrieval is available at https://github.com/StefanoWind/TROPoe_processor. In addition to these temporally resolved input data, TROPoe requires an a priori dataset (prior) that provides mean climatological estimates of thermodynamic profiles and specifies how temperature and humidity covary with height as an input (for details see, e.g., Djalalova et al., 2022). The prior is a key component of the retrieval and provides a constraint on the ill-posed inversion problem. A monthly prior was computed from operational radiosonde launches at Upton, NY.
- Authors:
-
- NREL
- Publication Date:
- DOE Contract Number:
- AC05-76RL01830
- Research Org.:
- Pacific Northwest National Laboratory
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)
- Subject:
- 17 WIND ENERGY
- OSTI Identifier:
- 2569229
- DOI:
- https://doi.org/10.21947/2569229
Citation Formats
Letizia, Stefano. NREL ASSIST Barge / Thermodynamic retrievals TROPoe v0.19. United States: N. p., 2025.
Web. doi:10.21947/2569229.
Letizia, Stefano. NREL ASSIST Barge / Thermodynamic retrievals TROPoe v0.19. United States. doi:https://doi.org/10.21947/2569229
Letizia, Stefano. 2025.
"NREL ASSIST Barge / Thermodynamic retrievals TROPoe v0.19". United States. doi:https://doi.org/10.21947/2569229. https://www.osti.gov/servlets/purl/2569229. Pub date:Thu Jun 12 04:00:00 UTC 2025
@article{osti_2569229,
title = {NREL ASSIST Barge / Thermodynamic retrievals TROPoe v0.19},
author = {Letizia, Stefano},
abstractNote = {This dataset contains daily files with thermodynamic profiles retrieved with the optimal estimation physical retrieval TROPoe v0.19 (Turner and Löhnert, 2014; Turner and Blumberg, 2019; Turner and Löhnert, 2021). The profiles are retrieved every 10 minutes from instantaneous observations from the NREL ASSIST-II (SN 12) infrared spectrometer. Observations are noise-filtered but not averaged in time to minimize errors due to non-uniform clouds. Additional input data in TROPoe are cloud base height from a collocated NREL Vaisala CL51 ceilometer (when available) or vertically staring Halo XR lidar, and surface temperature, relative humidity, and pressure from the collocated Oregon State University met tower. The full pipeline to run the retrieval is available at https://github.com/StefanoWind/TROPoe_processor. In addition to these temporally resolved input data, TROPoe requires an a priori dataset (prior) that provides mean climatological estimates of thermodynamic profiles and specifies how temperature and humidity covary with height as an input (for details see, e.g., Djalalova et al., 2022). The prior is a key component of the retrieval and provides a constraint on the ill-posed inversion problem. A monthly prior was computed from operational radiosonde launches at Upton, NY.},
doi = {10.21947/2569229},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Jun 12 04:00:00 UTC 2025},
month = {Thu Jun 12 04:00:00 UTC 2025}
}