TY  - JOUR
A1  - Böckmann, Christine
A1  - Wandinger, Ulla
A1  - Ansmann, Albert
A1  - Bösenberg, Jens
A1  - Amiridis, Vassilis
A1  - Boselli, Antonella
A1  - Delaval, Arnaud
A1  - De Tomasi, Ferdinando de
A1  - Frioud, Max
A1  - Grigorov, Ivan Videnov
A1  - Hagard, Arne
A1  - Horvat, Matej
A1  - Iarlori, Marco
A1  - Komguem, Leonce
A1  - Kreipl, Stephan
A1  - Larchevque, Gilles
A1  - Matthias, Volker
A1  - Papayannis, Alexandros
A1  - Pappalardo, GGelsomina
A1  - Rocadenbosch, Francesc
A1  - Rodrigues, Jose António
A1  - Schneider, Johannes
A1  - Shcherbakov, Valery
A1  - Wiegner, Matthias
T1  - Aerosol lidar intercomparison in the framework of the EARLINET project : 2. Aerosol backscatter algorithms
N2  - An intercomparison of aerosol backscatter lidar algorithms was performed in 2001 within the framework of the European Aerosol Research Lidar Network to Establish an Aerosol Climatology (EARLINET). The objective of this research was to test the correctness of the algorithms and the influence of the lidar ratio used by the various lidar teams involved in the EARLINET for calculation of backscatter-coefficient profiles from the lidar signals. The exercise consisted of processing synthetic lidar signals of various degrees of difficulty. One of these profiles contained height- dependent lidar ratios to test the vertical influence of those profiles on the various retrieval algorithms. Furthermore, a realistic incomplete overlap of laser beam and receiver field of view was introduced to remind the teams to take great care in the nearest range to the lidar. The intercomparison was performed in three stages with increasing knowledge on the input parameters. First, only the lidar signals were distributed; this is the most realistic stage. Afterward the lidar ratio profiles and the reference values at calibration height were provided. The unknown height- dependent lidar ratio had the largest influence on the retrieval, whereas the unknown reference value was of minor importance. These results show the necessity of making additional independent measurements, which can provide us with a suitable approximation of the lidar ratio. The final stage proves in general, that the data evaluation schemes of the different groups of lidar systems work well. (C) 2004 Optical Society of America
Y1  - 2004
SN  - 0003-6935
ER  - 
TY  - JOUR
A1  - Strader, Anne
A1  - Schneider, Max
A1  - Schorlemmer, Danijel
T1  - Prospective and retrospective evaluation of five-year earthquake forecast models for California
JF  - Geophysical journal international
KW  - Probabilistic forecasting
KW  - Statistical methods
KW  - Earthquake interaction
KW  - fore-casting
KW  - and prediction
KW  - Statistical seismology
Y1  - 2017
U6  - https://doi.org/10.1093/gji/ggx268
SN  - 0956-540X
SN  - 1365-246X
VL  - 211
SP  - 239
EP  - 251
PB  - Oxford Univ. Press
CY  - Oxford
ER  - 
TY  - GEN
A1  - Strader, Anne
A1  - Schneider, Max
A1  - Schorlemmer, Danijel
T1  - Erratum zu: Strader, Anne; Schneider, Max; Schorlemmer, Danijel: Prospective and retrospective evaluation of five-year earthquake forecast models for California (Geophysical Journal International, 211 (2017) 1, S. 239 – 251, https://doi.org/10.1093/gji/ggx268)
T2  - Geophysical journal international
N2  - 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.
Y1  - 2017
U6  - https://doi.org/10.1093/gji/ggx496
SN  - 0956-540X
SN  - 1365-246X
VL  - 212
IS  - 2
SP  - 1314
EP  - 1314
PB  - Oxford Univ. Press
CY  - Oxford
ER  - 
TY  - JOUR
A1  - Gebser, Martin
A1  - Kaufmann, Benjamin
A1  - Kaminski, Roland
A1  - Ostrowski, Max
A1  - Schaub, Torsten H.
A1  - Schneider, Marius
T1  - Potassco the Potsdam answer set solving collection
JF  - AI communications : AICOM ; the European journal on artificial intelligence
N2  - This paper gives an overview of the open source project Potassco, the Potsdam Answer Set Solving Collection, bundling tools for Answer Set Programming developed at the University of Potsdam.
KW  - Answer set programming
KW  - declarative problem solving
Y1  - 2011
U6  - https://doi.org/10.3233/AIC-2011-0491
SN  - 0921-7126
VL  - 24
IS  - 2
SP  - 107
EP  - 124
PB  - IOS Press
CY  - Amsterdam
ER  -