Filtern
Volltext vorhanden
- nein (46)
Erscheinungsjahr
Dokumenttyp
- Sonstiges (46) (entfernen)
Sprache
- Englisch (25)
- Deutsch (18)
- Italienisch (2)
- Französisch (1)
Gehört zur Bibliographie
- ja (46)
Schlagworte
- Absorption kinetics (1)
- Aerosol (1)
- Aluminium (1)
- Aluminium adjuvants (1)
- Haar system (1)
- In vitro dissolution (1)
- Raman lidar (1)
- Toxicokinetic modelling (1)
- inversion (1)
- particle microphysics (1)
Institut
- Institut für Mathematik (46) (entfernen)
We present a project combining lidar, photometer and particle counter data with a regularization software tool for a closure study of aerosol microphysical property retrieval. In a first step only lidar data are used to retrieve the particle size distribution (PSD). Secondly, photometer data are added, which results in a good consistency of the retrieved PSDs. Finally, those retrieved PSDs may be compared with the measured PSD from a particle counter. The data here were taken in Ny Alesund, Svalbard, as an example.
Kroll, H. J., Eine Kennzeichnung der miquelschen Minkowski-Ebenen durch Transitivitätseigenschaften
(1996)
S-test results for the USGS and RELM forecasts. The differences between the simulated log-likelihoods and the observed log-likelihood are labelled on the horizontal axes, with scaling adjustments for the 40year.retro experiment. The horizontal lines represent the confidence intervals, within the 0.05 significance level, for each forecast and experiment. If this range contains a log-likelihood difference of zero, the forecasted log-likelihoods are consistent with the observed, and the forecast passes the S-test (denoted by thin lines). If the minimum difference within this range does not contain zero, the forecast fails the S-test for that particular experiment, denoted by thick lines. Colours distinguish between experiments (see Table 2 for explanation of experiment durations). Due to anomalously large likelihood differences, S-test results for Wiemer-Schorlemmer.ALM during the 10year.retro and 40year.retro experiments are not displayed. The range of log-likelihoods for the Holliday-et-al.PI forecast is lower than for the other forecasts due to relatively homogeneous forecasted seismicity rates and use of a small fraction of the RELM testing region.