Variation of the Infrared Spectral Radiance near the Limb of the Earth

1964 ◽  
Vol 3 (2) ◽  
pp. 221 ◽  
Author(s):  
D. Q. Wark ◽  
J. Alishouse ◽  
G. Yamamoto
Keyword(s):  
Spectral Radiance ◽  
The Earth ◽  
Infrared Spectral

Inflight Satellite Measurements of Infrared Spectral Radiance of the Earth

1964 ◽  
Vol 3 (2) ◽  
pp. 209 ◽  
Author(s):  
Louis C. Block ◽  
Alex S. Zachor
Keyword(s):  
Spectral Radiance ◽  
Satellite Measurements ◽  
The Earth ◽  
Infrared Spectral

NIST Radiance Temperature and Infrared Spectral Radiance Scales at Near-Ambient Temperatures

2008 ◽  
Vol 29 (3) ◽  
pp. 1026-1040 ◽  
Author(s):  
S. N. Mekhontsev ◽  
V. B. Khromchenko ◽  
L. M. Hanssen
Keyword(s):  
Spectral Radiance ◽  
Radiance Temperature ◽  
Ambient Temperatures ◽  
Infrared Spectral

scholarly journals Reviews and syntheses: Flying the satellite into your model: on the role of observation operators in constraining models of the Earth system and the carbon cycle

2017 ◽  
Vol 14 (9) ◽  
pp. 2343-2357 ◽  
Author(s):  
Thomas Kaminski ◽  
Pierre-Philippe Mathieu
Keyword(s):  
Data Assimilation ◽  
Carbon Cycle ◽  
Automatic Differentiation ◽  
Satellite Observations ◽  
Spectral Radiance ◽  
Special Focus ◽  
Earth System ◽  
The Earth ◽  
Retrieval Scheme

Abstract. The vehicles that fly the satellite into a model of the Earth system are observation operators. They provide the link between the quantities simulated by the model and the quantities observed from space, either directly (spectral radiance) or indirectly estimated through a retrieval scheme (biogeophysical variables). By doing so, observation operators enable modellers to properly compare, evaluate, and constrain their models with the model analogue of the satellite observations. This paper provides the formalism and a few examples of how observation operators can be used in combination with data assimilation techniques to better ingest satellite products in a manner consistent with the dynamics of the Earth system expressed by models. It describes commonalities and potential synergies between assimilation and classical retrievals. This paper explains how the combination of observation operators and their derivatives (linearizations) form powerful research tools. It introduces a technique called automatic differentiation that greatly simplifies both the development and the maintenance of code for the evaluation of derivatives. Throughout this paper, a special focus lies on applications to the carbon cycle.

Portable infrared spectral radiance measurement apparatus based on PbSe detectors

2015 ◽  
Vol 13 (6) ◽  
pp. 063001-63004
Author(s):  
Lei Zhang Lei Zhang ◽  
Jingmin Dai Jingmin Dai ◽  
Zhe Yin Zhe Yin
Keyword(s):  
Spectral Radiance ◽  
Measurement Apparatus ◽  
Infrared Spectral

scholarly journals IASI spectral radiance validation inter-comparisons: case study assessment from the JAIVEx field campaign

2010 ◽  
Vol 10 (2) ◽  
pp. 411-430 ◽  
Author(s):  
A. M. Larar ◽  
W. L. Smith ◽  
D. K. Zhou ◽  
X. Liu ◽  
H. Revercomb ◽  
...  
Keyword(s):  
Weather Prediction ◽  
Satellite System ◽  
Global Scale ◽  
Spectral Radiance ◽  
Field Campaign ◽  
Validation Experiment ◽  
Infrared Spectral ◽  
Satellite Sensors ◽  
Using Data

Abstract. Advanced satellite sensors are tasked with improving global-scale measurements of the Earth's atmosphere, clouds, and surface to enable enhancements in weather prediction, climate monitoring, and environmental change detection. Measurement system validation is crucial to achieving this goal and maximizing research and operational utility of resultant data. Field campaigns employing satellite under-flights with well-calibrated Fourier Transform Spectrometer (FTS) sensors aboard high-altitude aircraft are an essential part of this validation task. The National Polar-orbiting Operational Environmental Satellite System (NPOESS) Airborne Sounder Testbed-Interferometer (NAST-I) has been a fundamental contributor in this area by providing coincident high spectral and spatial resolution observations of infrared spectral radiances along with independently-retrieved geophysical products for comparison with like products from satellite sensors being validated. This manuscript focuses on validating infrared spectral radiance from the Infrared Atmospheric Sounding Interferometer (IASI) through a case study analysis using data obtained during the recent Joint Airborne IASI Validation Experiment (JAIVEx) field campaign. Emphasis is placed upon the benefits achievable from employing airborne interferometers such as the NAST-I since, in addition to IASI radiance calibration performance assessments, cross-validation with other advanced sounders such as the AQUA Atmospheric InfraRed Sounder (AIRS) is enabled.

scholarly journals Technical Note: REFIR-PAD level 1 data analysis and performance characterization

2008 ◽  
Vol 8 (1) ◽  
pp. 367-401 ◽  
Author(s):  
G. Bianchini ◽  
L. Palchetti
Keyword(s):  
Data Analysis ◽  
Far Infrared ◽  
Technical Note ◽  
Wave Radiation ◽  
Spectral Radiance ◽  
Data Analysis Procedure ◽  
Infrared Spectral ◽  
Stratospheric Balloon ◽  
Level 1 ◽  
And Performance

Abstract. The outgoing long-wave radiation from the Earth's atmosphere in the far infrared spectral region is mostly unexplored, while is well recognized that the water vapour contribution to greenhouse trapping is dominant in this region. The Radiation Explorer in the Far InfraRed (REFIR) study has proven the feasibility of a space-borne Fourier transform spectrometer able to perform the measurement in the 100–1100 cm−1 range with a resolution of 0.5 cm−1. Following this work a prototype of the spectrometer named REFIR-PAD (Prototype for Applications and Development) has been developed to observe the atmospheric radiance from both ground-based sites and from stratospheric balloon platforms. In this work we describe the REFIR-PAD level 1 data analysis procedure, that, starting from raw instrumental data produces the calibrated atmospheric spectral radiance. Performances of the procedure are also described.

scholarly journals Reviews and Syntheses: Flying the Satellite into Your Model

2016 ◽  
Author(s):  
Thomas Kaminski ◽  
Pierre-Philippe Mathieu
Keyword(s):  
Data Assimilation ◽  
Automatic Differentiation ◽  
Satellite Observations ◽  
Spectral Radiance ◽  
Earth System ◽  
The Earth ◽  
Retrieval Scheme ◽  
Research Tools

Abstract. The vehicles that fly the satellite into a model of the Earth System are observation operators. They provide the link between the quantities simulated by the model and quantities observed from space, either directly (spectral radiance) or indirectly estimated through a retrieval scheme (bio-geophysical variables). By doing so, observation operators enable modellers to properly compare, evaluate and constrain their models with the model-analogue of the satellite observations. This paper provides the formalism and a few examples of how observation operators can be used, in combination with data assimilation techniques, to better ingest satellite products in a manner consistent with the dynamics of the Earth System expressed by models. It describes communalities and potential synergies between assimilation and classical retrievals. The paper explains how the combination of observation operators and their derivatives (linearisations) form powerful research tools. It introduces a technique called automatic differentiation that greatly simplifies both development and maintenance of derivative code.

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