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| Titel |
Pan-spectral observing system simulation experiments of shortwave reflectance and long-wave radiance for climate model evaluation |
| VerfasserIn |
D. R. Feldman, W. D. Collins, J. L. Paige |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1991-959X
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| Digitales Dokument |
URL |
| Erschienen |
In: Geoscientific Model Development ; 8, no. 7 ; Nr. 8, no. 7 (2015-07-02), S.1943-1954 |
| Datensatznummer |
250116447
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| Publikation (Nr.) |
 copernicus.org/gmd-8-1943-2015.pdf |
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| Zusammenfassung |
| Top-of-atmosphere (TOA) spectrally resolved shortwave reflectances and
long-wave radiances describe the response of the Earth's surface and
atmosphere to feedback processes and human-induced forcings. In order to
evaluate proposed long-duration spectral measurements, we have projected 21st
Century changes from the Community Climate System Model (CCSM3.0) conducted
for the Intergovernmental Panel on Climate Change (IPCC) A2 Emissions
Scenario onto shortwave reflectance spectra from 300 to 2500 nm and
long-wave radiance spectra from 2000 to 200 cm−1 at 8 nm and
1 cm−1 resolution, respectively. The radiative transfer calculations
have been rigorously validated against published standards and produce
complementary signals describing the climate system forcings and feedbacks.
Additional demonstration experiments were performed with the Model for
Interdisciplinary Research on Climate (MIROC5) and Hadley Centre Global
Environment Model version 2 Earth System (HadGEM2-ES) models for the
Representative Concentration Pathway 8.5 (RCP8.5) scenario. The calculations
contain readily distinguishable signatures of low clouds, snow/ice, aerosols,
temperature gradients, and water vapour distributions. The goal of this
effort is to understand both how climate change alters reflected solar and
emitted infrared spectra of the Earth and determine whether spectral
measurements enhance our detection and attribution of climate change. This
effort also presents a path forward to understand the characteristics of
hyperspectral observational records needed to confront models and inline
instrument simulation. Such simulation will enable a diverse set of
comparisons between model results from coupled model intercomparisons and
existing and proposed satellite instrument measurement systems. |
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