Exploring Clear‐Sky Longwave Radiative Closure in the Arctic: A Downwelling Case Study

ABSTRACT The far infrared region plays a critical role in the Earth's greenhouse effect. Measurements across this range are limited and previous studies have found it challenging to achieve radiative closure between different instruments across the mid‐far infrared. This study compares high‐resolution downwelling spectra measured from the surface in the Arctic to radiative transfer simulations run with atmospheric profiles from a radiosonde, microwave radiometer, and the 5th ECMWF atmospheric reanalysis. The radiosonde‐driven simulation generates the closest agreement to the radiance observations. The HATPRO‐driven simulation matches within its uncertainty across the entire range. However, it has a larger uncertainty envelope than the other sources. There is a bias in all three simulations associated with underestimated humidity. Our results reiterate the sensitivity of the far infrared to the humidity profile. This suggests that the wider deployment of spectrometers capable of measuring across this region, in parallel with efforts to improve knowledge of far infrared water vapour spectroscopy, could markedly improve our ability to routinely characterise polar environments.

Authors

Institutions

Publication Details

Journal
Atmospheric Science Letters
Published
2026-02-01
DOI
https://doi.org/10.1002/asl.70000
Primary Topic
Atmospheric aerosols and clouds
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring Clear‐Sky Longwave Radiative Closure in the Arctic: A Downwelling Case Study

Helen Brindley, Sophie Mosselmans, John Murray, Edward Gryspeerdt et al.
Atmospheric Science Letters
Atmospheric aerosols and clouds
article

Exploring Clear‐Sky Longwave Radiative Closure in the Arctic: A Downwelling Case Study

Helen Brindley, Sophie Mosselmans, John Murray, Edward Gryspeerdt, Caroline V. Cox, Tim Carlsen, Robert Oscar David, Hilke Oetjen, Dirk Schuettemeyer, Sanjeevani Panditharatne, Laura Warwick, Andreas Foth
article en

Abstract

ABSTRACT The far infrared region plays a critical role in the Earth's greenhouse effect. Measurements across this range are limited and previous studies have found it challenging to achieve radiative closure between different instruments across the mid‐far infrared. This study compares high‐resolution downwelling spectra measured from the surface in the Arctic to radiative transfer simulations run with atmospheric profiles from a radiosonde, microwave radiometer, and the 5th ECMWF atmospheric reanalysis. The radiosonde‐driven simulation generates the closest agreement to the radiance observations. The HATPRO‐driven simulation matches within its uncertainty across the entire range. However, it has a larger uncertainty envelope than the other sources. There is a bias in all three simulations associated with underestimated humidity. Our results reiterate the sensitivity of the far infrared to the humidity profile. This suggests that the wider deployment of spectrometers capable of measuring across this region, in parallel with efforts to improve knowledge of far infrared water vapour spectroscopy, could markedly improve our ability to routinely characterise polar environments.

Atmospheric Science LettersVol. 27(2)
University of Oslo (NO), Research Complex at Harwell (GB), National Centre for Earth Observation (GB), European Space Research and Technology Centre (NL), Imperial College London (GB), Leipzig University (DE)
Openalex Percentile: Top 72%
Atmospheric aerosols and clouds
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.