Continuation of Data Analysis Software Development for the Atmospheric Emitted Radiance Inter-Ferometer (AERI)

Knuteson, Robert ; Feltz, Wayne ; Clough, Shepard

University of Wisconsin--Madison

关键词: Data Analysis;    Clouds;    Turbulence Atmospheric Radiation Measurement;    Climate;    Sampling;   

DOI  :  10.2172/901855
RP-ID  :  ODE/ER/61365-FINAL
RP-ID  :  FG02-92ER61365
RP-ID  :  901855

美国|英语

来源: UNT Digital Library

【 摘 要 】

Data from the Atmospheric Emitted Radiance Interferometer (AERI) has been analyzed under the ARM Fourier Transform Data Analysis Tools science team project. A portion of the effort was accomplished through a subcontract to S. A. Clough of Atmospheric Environmental Research (AER), Inc. This section of the proposal highlights a few important accomplishments obtained during the past grant period. Specific accomplishments include: 1) The AERIplus temperature and moisture retrieval algorithm (Feltz et al. 2003, 2005) has now implemented a new fast model based upon LBLRTM. The fast model provides a doubling of vertical resolution within the first 100 hPa of atmosphere (surface to 900 hPa) from 10 hPa spacing to 5 hPa. This algorithm has been implemented at Pacific Northwest National Laboratories to upgrade previous AERI retrieval software. A peer reviewed paper has been published with regard to this work along with Value Added Product (VAP) technical document available through ARM web site. 2) Developed an objective methodology to detect planetary boundary layer (PBL) height using the AERI derived potential temperature field. AERI temperature and moisture data are also used to correlate the perturbation temperature and moisture in time within the planetary boundary layer (PBL) to view the structure of PBL turbulence and convection. 3) The temporal resolution of the DOE ARM AERI systems is now being increased to less than 20 seconds (currently ~ 8 minutes depending on system). The University of Wisconsin mobile AERI system was deployed three times (Texas 2002 at SGP, CRYSTAL-FACE in southern Florida, and AWEX 2003 at SGP) collecting data at 40 second temporal resolution. The DOE ARM science team has requested that all DOE ARM AERI systems be upgraded to run in rapid sampling mode (including the ARM Mobile Facility AERI) to provide improved sampling of changing cloud characteristics using high spectral resolution infrared data. This grant has facilitated in the demonstration of improved science when the AERI systems on operated in this higher temporal resolution mode.