Skip Nav Destination
Close Modal
![]()
![]()
![]()
![]()
![]()
![]()
![]()
![]()
![Geographic overview of countries (gray shaded) and agencies (blue circles) that report their data to the International Seismological Center (ISC) in SEISAN format (provided by J. Harris and D. A. Storchak of the ISC) and locations of SEISAN workshops and courses with involvement of the authors (red circles). The first course was held in Tanzania in 1993.]()
![(a) Graph showing the original SEISAN calculated depths in red circles and the new depth calculation from the SP waveform as yellow stars. The original conversion interface depth estimate using VP/VS ratio of 1.73 is shown in gray. The revised calculation for the depth of the conversion interface using VP/VS ratio from well data is shown in blue. The black‐dashed line is the depth to the granitic basement. (b) Box and whisker plot comparing the original earthquake depths calculated in SEISAN and the depths calculated from the SP‐wave method. The red line shows the median depth, the blue box shows the 25th to 75th percentiles, and the black line shows the maximum and minimum depth estimates. The color version of this figure is available only in the electronic edition.]()
![(a) Data processing flow from raw data to SEISAN software. (b) Example of seismic waveforms recorded in a 20‐min window in the temporary seismic network.]()
![The focal mechanism solutions obtained using the SEISAN algorithms FOCMEC, PINV and HASH (Havskov and Ottemöller, 2010) for the 18 November 2013 earthquake, and FOCMEC for the 2 December 2013 earthquake.]()
![Locations using the SEISAN software compared with the ISS location.]()
![Regression analysis for the Q-factor estimation from the direct S-wave envelope at Chamoli using SEISAN software.]()
![(a) Map of earthquakes that have an identifiable SP wave is shown in blue, and the approximate locations where ray paths cross the conversion interface (pierce point) are shown in green. Seismic stations are shown in yellow triangles and well locations as magenta and red stars. The location of Wellington field in Kansas is marked by a yellow star. (b) Velocity raytracing for earthquake depths determined in SEISAN (Havskov and Ottemoller, 1999) as related to their distance from stations. The dashed line marks the top of granitic basement at approximately 1550 m depth. A sharp velocity contrast creating the conversion interface occurs shallower in the sedimentary section at approximately 1270 m depth, which corresponds to the top of the Arbuckle. The velocity model shown here is the 1D model used in SEISAN (Havskov and Ottemoller, 1999) for earthquake location. Red ray traces mark the raypaths with angles of incidence of 20° and 30°. The color version of this figure is available only in the electronic edition.]()
![Comparison of the observed seismograms (red line) with the synthetic seismograms (blue line) using SEISAN algorithm (Havskov and Ottemöller, 2008) at depths labeled next to each set of traces]()
![Comparison between ML predicted by equation (11) (open circles) and equation (12) (black dots) and with the estimations of ML obtained with SeisAn using the standard Richter scale. The gray line is a reference line with unitary slope.]()
![Data flow of the automatic data processing for earthquake detection (blue) and location and magnitude determination (orange). The workflow relies on SeisComp3 (top), Seisan (bottom), and routines developed in‐house. STA/LTA, short‐term average/long‐term average. The color version of this figure is available only in the electronic edition.]()
![Typical RTQUAKE configuration using input data from one or more SeedLink servers. The data enters a local SeedLink server before being processed by RTQUAKE to have direct access from SEISAN to the archive with continuous data. For the names of the modules, see text.]()
![The focal mechanism solution of the 15th March 2008 event obtained global data using SEISAN algorithm (Havskov and Ottemöller, 2008). The triangles shows seismic stations which has negative onset polarity where as the circles represents seismic stations with positive polarity]()
![]()
![]()
![]()
![]()
![]()
![]()
![]()
![]()
![]()
![]()
![]()
1-20 OF 237 RESULTS FOR
SEISAN
Results shown limited to content with bounding coordinates.
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
1
Journal Article
Seismological Observatory Software: 30 Yr of SEISAN
Journal: Seismological Research Letters
Publisher: Seismological Society of America
Published: 18 March 2020
Seismological Research Letters (2020) 91 (3): 1846–1852.
...Jens Havskov; Peter H. Voss; Lars Ottemöller Abstract The SEISAN software package for processing of earthquake data has been in use for 30 yr. SEISAN is a collection of programs that help to carry out tasks from the basic processing at a seismological observatory to more advanced seismological...
FIGURES
Journal Article
SC2SEI: Exporting SeisComP3 Data to SEISAN
Journal: Seismological Research Letters
Publisher: Seismological Society of America
Published: 03 October 2018
Seismological Research Letters (2018) 89 (6): 2386–2391.
...Terje Utheim; Jens Havskov; Mustafa Çomoğlu ABSTRACT The SeisComP3 (SC3) real‐time software is widely used in the seismological community. It provides automatic hypocenter and magnitude solutions, but with limited manual processing capabilities. The SEISAN software is also well known and provides...
FIGURES
Journal Article
RTQUAKE, A Real‐Time Earthquake Detection System Integrated with SEISAN
Journal: Seismological Research Letters
Publisher: Seismological Society of America
Published: 01 May 2014
Seismological Research Letters (2014) 85 (3): 735–742.
... as the local SeedLink server receiving data and SEISAN. Data from different SeedLink servers and stations are fed into the local SeedLink server, and RTQUAKE connects to the local SeedLink server as a client, selecting the components that will be used for detection. Detections are recorded directly...
FIGURES
| View All (9)
Journal Article
SeisAn Earthquake Analysis Software
Journal: Seismological Research Letters
Publisher: Seismological Society of America
Published: 01 September 1999
Seismological Research Letters (1999) 70 (5): 532–534.
... effective use of the data, particularly with data from different sources. A primary goal of SeisAn is to organize data from all kinds of seismic stations into a simple database and to provide most of the tools needed for routine processing. The SeisAn database is a way of organizing data by using...
Image
Geographic overview of countries (gray shaded) and agencies (blue circles) ...
Published: 18 March 2020
Figure 1. Geographic overview of countries (gray shaded) and agencies (blue circles) that report their data to the International Seismological Center (ISC) in SEISAN format (provided by J. Harris and D. A. Storchak of the ISC) and locations of SEISAN workshops and courses with involvement
Image
(a) Graph showing the original SEISAN calculated depths in red circles and ...
in Identifying Direct SP ‐Converted Waves Constrains Local Induced Earthquake Depths
> Seismological Research Letters
Published: 21 July 2021
Figure 7. (a) Graph showing the original SEISAN calculated depths in red circles and the new depth calculation from the SP waveform as yellow stars. The original conversion interface depth estimate using V P / V S ratio of 1.73 is shown in gray. The revised calculation
Image
(a) Data processing flow from raw data to SEISAN software. (b) Example of s...
in Aftershock Sequence of the 2018 M w 6.4 Hualien Earthquake in Eastern Taiwan from a Dense Seismic Array Data Set
> Seismological Research Letters
Published: 17 October 2018
Figure 2. (a) Data processing flow from raw data to SEISAN software. (b) Example of seismic waveforms recorded in a 20‐min window in the temporary seismic network.
Image
The focal mechanism solutions obtained using the SEISAN algorithms FOCMEC, ...
in Impact of Recent Moderately Sized Earthquakes in South Africa: Macroseismic Investigations of the 18 November and 2 December 2013 Earthquakes
> South African Journal of Geology
Published: 01 December 2015
Figure 13 The focal mechanism solutions obtained using the SEISAN algorithms FOCMEC, PINV and HASH (Havskov and Ottemöller, 2010) for the 18 November 2013 earthquake, and FOCMEC for the 2 December 2013 earthquake.
Image
Locations using the SEISAN software compared with the ISS location.
Published: 01 April 2015
Figure 6. Locations using the SEISAN software compared with the ISS location.
Image
Regression analysis for the Q -factor estimation from the direct S -wave ...
in Determination of S -Wave Site Response in the Garhwal Himalaya from the Aftershock Sequence of the 1999 Chamoli Earthquake
> Bulletin of the Seismological Society of America
Published: 01 April 2002
Figure 4. Regression analysis for the Q -factor estimation from the direct S -wave envelope at Chamoli using SEISAN software.
Image
(a) Map of earthquakes that have an identifiable SP wave is shown in blue...
in Identifying Direct SP ‐Converted Waves Constrains Local Induced Earthquake Depths
> Seismological Research Letters
Published: 21 July 2021
. The location of Wellington field in Kansas is marked by a yellow star. (b) Velocity raytracing for earthquake depths determined in SEISAN ( Havskov and Ottemoller, 1999 ) as related to their distance from stations. The dashed line marks the top of granitic basement at approximately 1550 m depth. A sharp
Image
Comparison of the observed seismograms (red line) with the synthetic seismo...
in FOCAL MECHANISM SOLUTION OF THE 15TH MARCH 2008, NYAMANDLOVU EARTHQUAKE
> South African Journal of Geology
Published: 01 December 2009
Figure 5. Comparison of the observed seismograms (red line) with the synthetic seismograms (blue line) using SEISAN algorithm ( Havskov and Ottemöller, 2008 ) at depths labeled next to each set of traces
Image
Comparison between M L predicted by equation (11) (open circles) and e...
in Estimation of Local Magnitude in Northeastern Sonora, Mexico, Using Empirical Relations Based on Recorded Duration
> Seismological Research Letters
Published: 11 March 2015
Figure 5. Comparison between M L predicted by equation (11) (open circles) and equation (12) (black dots) and with the estimations of M L obtained with SeisAn using the standard Richter scale. The gray line is a reference line with unitary slope.
Image
Data flow of the automatic data processing for earthquake detection (blue) ...
Published: 17 February 2021
Figure 7. Data flow of the automatic data processing for earthquake detection (blue) and location and magnitude determination (orange). The workflow relies on SeisComp3 (top), Seisan (bottom), and routines developed in‐house. STA/LTA, short‐term average/long‐term average. The color version
Image
Typical RTQUAKE configuration using input data from one or more SeedLink se...
in RTQUAKE, A Real‐Time Earthquake Detection System Integrated with SEISAN
> Seismological Research Letters
Published: 01 May 2014
Figure 4. Typical RTQUAKE configuration using input data from one or more SeedLink servers. The data enters a local SeedLink server before being processed by RTQUAKE to have direct access from SEISAN to the archive with continuous data. For the names of the modules, see text.
Image
The focal mechanism solution of the 15th March 2008 event obtained global d...
in FOCAL MECHANISM SOLUTION OF THE 15TH MARCH 2008, NYAMANDLOVU EARTHQUAKE
> South African Journal of Geology
Published: 01 December 2009
Figure 4. The focal mechanism solution of the 15th March 2008 event obtained global data using SEISAN algorithm ( Havskov and Ottemöller, 2008 ). The triangles shows seismic stations which has negative onset polarity where as the circles represents seismic stations with positive polarity
Journal Article
Capturing, Preserving, and Digitizing Legacy Seismic Data from the Montserrat Volcano Observatory Analog Seismic Network, July 1995–December 2004
Journal: Seismological Research Letters
Publisher: Seismological Society of America
Published: 27 May 2020
Seismological Research Letters (2020) 91 (4): 2127–2140.
... rather overlooked. This article documents the evolution of the ASN, the VDAP system, the original data captured, and the recovery and conversion of more than 230,000 seismic events from legacy SUDS, Hypo71, and Seislog formats into Seisan database with waveform data in miniSEED format. No digital catalog...
FIGURES
| View All (6)
Includes: Supplemental Content
Journal Article
The National Seismological Network of Costa Rica (RSN): An Overview and Recent Developments
Journal: Seismological Research Letters
Publisher: Seismological Society of America
Published: 14 February 2018
Seismological Research Letters (2018) 89 (2A): 392–398.
... with higher station density in central Costa Rica. Also, earthquake locations were improved by integrating routines from the SeisComP, EarthWorm, and SEISAN software packages. Additionally, several tools for disseminating earthquake information were developed, for example, an application for smartphones...
FIGURES
Includes: Supplemental Content
Journal Article
Integration of Arrival‐Time Datasets for Consistent Quality Control: A Case Study of Amphibious Experiments along the Middle America Trench
Publisher: Seismological Society of America
Published: 01 October 2013
Bulletin of the Seismological Society of America (2013) 103 (5): 2752–2766.
... ( CRSEIZE ) and along central Costa Rica and Nicaragua as part of the German SFB 574 program. The five arrays, composed of different sensor types (one‐ and three‐component land and ocean bottom seismometers and hydrophones), were archived using different software packages (Antelope and SEISAN) and were...
FIGURES
| View All (8)
Includes: Supplemental Content
Journal Article
Magnitude m b : Reducing Processing‐Related Variability
Journal: Seismological Research Letters
Publisher: Seismological Society of America
Published: 12 April 2024
Seismological Research Letters (2024) 95 (4): 2118–2123.
... .” There are different ways to implement the filtering that could result in differences in the obtained signal. We compared the simulation of the WWSSN‐SP signal by different agencies with the simulation made with SEISAN. In all cases we got the same SP traces and concluded that differences in amplitude reported from...
FIGURES
| View All (5)
1
