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A.?PerrinEmail author C.?Puzzarini J.-M.?Colmont C.?Verdes G.?Wlodarczak G.?Cazzoli S.?Buehler J.-M.?Flaud J.?Demaison 《Journal of Atmospheric Chemistry》2005,51(2):161-205
In order to investigate the upper troposphere/lower stratosphere (UTLS) region of the earth's atmosphere, ESA/ESTEC (European
space agency) is considering the opportunity to develop the spaceborne limb sounding millimeter sensor “MASTER” (millimeter
wave acquisitions for stratosphere/troposphere exchange research). This instrument is part of the “atmospheric composition
explorer for chemistry and climate interactions” (ACECHEM) project. In addition, ESA/ESTEC is developing the “MARSCHALS” (millimeter-wave
airborne receiver for spectroscopic characterization of atmospheric limb sounding) airborne instrument which will demonstrate
the feasibility of MASTER. The present paper describes the line-by-line database which was generated in order to meet at best
the needs of the MASTER (or MARSCHALS) instrument. The linelist involves line positions, line intensities, line broadening
and line shift parameters in the 294–305, 316–325, 342–348, 497–506 and 624–626 GHz spectral microwindows. This database was
first generated for the target molecules for MASTER (H2O, O3, N2O, CO, O2, HNO3, HCl, ClO, CH3Cl, BrO). In addition, ten additional molecules (SO2, NO2, OCS, H2CO, HOCl, HCN, H2O2, COF2, HO2 and HOBr) had also to be considered in the database as “possible interfering species” for the retrieval of the target molecules
of MASTER. The line parameters were derived, depending on their estimated accuracy, (i) from a combination of spectral parameters
included in the JPL and HITRAN catalogs (ii) from data taken into the literature or (iii) using data obtained through experimental
measurements (and/or) calculations performed during the present study. 相似文献
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Verdes P.F. Parodi M.A. Granitto P.M. Navone H.D. Piacentini R.D. Ceccatto H.A. 《Solar physics》2000,191(2):419-425
Two nonlinear methods are employed for the prediction of the maximum amplitude for solar cycle 23 and its declining behavior. First, a new heuristic method based on the second derivative of the (conveniently smoothed) sunspot data is proposed. The curvature of the smoothed sunspot data at cycle minimum appears to correlate (R 0.92) with the cycle's later-occurring maximum amplitude. Secondly, in order to predict the near-maximum and declining activity of solar cycle 23, a neural network analysis of the annual mean sunspot time series is also performed. The results of the present study are then compared with some other recent predictions. 相似文献
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The sunspot record of solar magnetic activity is studied as a nonstationary time series by means of a previously developed
algorithm for treating perturbed dynamical systems. This approach incorporates secular changes into the modeling process through
an external driving parameter, whose temporal behavior is shown to correspond in this case to the long-term trend of the sunspot
record. Our method is able to reduce by approximately 13% the prediction error of this series when compared to the standard
stationary approach. Such a reduction is remarkable in view of the benchmark status of the sunspot record in the statistical
literature and, moreover, the fact that this gain is obtained over the performance of an already very competitive modeling
technique based on ensembles of artificial neural networks. 相似文献
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