We evaluate the spectral quality, radiometric noise, and retrieval performance of a Fourier transform infrared spectrometer, which has been developed for recording spectrally resolved observations in a region of the spectrum which is important both for the science of Earth's climate and applications, such as the remote sensing of temperature and atmospheric gas species. This spectral region extends from 100 to 1600 cm(-1) and encompasses the two fundamental, rotation and vibration, absorption bands of water vapor. The instrument is a customized version of a Bomem AERI (Atmospheric Emitted Radiance Interferometer) spectrometer, whose spectral coverage has been extended in the far infrared with the use of uncooled pyroelectric detectors. Retrieval examples for water vapor and temperature profiles are shown, which also allow us to intercompare the retrieval performance of both H(2)O vibration and rotation bands.

Download full-text PDF

Source
http://dx.doi.org/10.1364/ao.47.003909DOI Listing

Publication Analysis

Top Keywords

retrieval performance
12
water vapor
8
interferometer ground-based
4
ground-based observations
4
observations emitted
4
spectral
4
emitted spectral
4
spectral radiance
4
radiance troposphere
4
troposphere evaluation
4

Similar Publications

Background: The increased occurrence of malaria among Africa's displaced communities poses a new humanitarian problem. Understanding malaria epidemiology among the displaced population in African refugee camps is a vital step for implementing effective malaria control and elimination measures. As a result, this study aimed to generate comprehensive and conclusive data from diverse investigations undertaken in Africa.

View Article and Find Full Text PDF

Background: Advanced gastric cancer (GC) exhibits a high recurrence rate and a dismal prognosis. Myocyte enhancer factor 2c (MEF2C) was found to contribute to the development of various types of cancer. Therefore, our aim is to develop a prognostic model that predicts the prognosis of GC patients and initially explore the role of MEF2C in immunotherapy for GC.

View Article and Find Full Text PDF

Risk prediction models for falls in hospitalized older patients: a systematic review and meta-analysis.

BMC Geriatr

January 2025

Department of Nursing, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, 322000, China.

Background: Existing fall risk assessment tools in clinical settings often lack accuracy. Although an increasing number of fall risk prediction models have been developed for hospitalized older patients in recent years, it remains unclear how useful these models are for clinical practice and future research.

Objectives: To systematically review published studies of fall risk prediction models for hospitalized older adults.

View Article and Find Full Text PDF

Purpose: The purpose of this study was to evaluate the feasibility and safety of indocyanine green (ICG) fluorescence as an alternative to traditional sentinel lymph node biopsy (SLNB) techniques in breast cancer (BC) patients undergoing neoadjuvant chemotherapy (NAC). Specifically, the study aimed to assess sentinel node identification rates and the effectiveness of ICG in axillary staging without the use of radioactive tracers.

Methods: This retrospective study included 71 BC patients treated with NAC, who underwent SLNB using ICG fluorescence between 2020 and 2024.

View Article and Find Full Text PDF

Our naturalistic experiences are organized into memories through multiple processes, including novelty encoding, memory formation, and retrieval. However, the neural mechanisms coordinating these processes remain elusive. Using fMRI data acquired during movie viewing and subsequent narrative recall, we examine hippocampal neural subspaces associated with distinct memory processes and characterized their relationships.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!