| Date: | 2019-08-27 12:55:06 | |
| Sender: | Sven Bauer <sven.bauer@gfz-potsdam.de> | |
| Subject: | [SLR-Mail] No.2601: Time Bias Service upgrades and JSON Api | |
| Author: | Sven Bauer, GFZ Potsdam | |
| Content: | Author: Sven Bauer, GFZ Potsdam Dear ILRS stations, during the last weeks we fixed some bugs in our Time Bias Service with respect to the atmospheric modeling and the precision of fit coefficients stored in the databases. We also updated the a-priori station coordinates and included solid tides handling. With all this changes we now have a slightly better/stable time bias value prediction. We also added a JSON API, which allows to query all information we have about a particular CPF file. The URL scheme is: http://slr.gfz-potsdam.de/tb/v1/cpf/ an example would be: http://slr.gfz-potsdam.de/tb/v1/cpf/gracefo1/gfz6651 The output is in JSON format and contains 3 sections with target, CPF and timebias informatio:. { ”cpf”: { ”endDate”: ”2019-06-16T23:59:42”, ”hash”: ”4bb84bf495faf8f7214b601d6fd847052fd1ef6e”, ”id”: ”GFZ6651”, ”provider”: ”GFZ”, ”sequence”: 6651, ”startDate”: ”2019-06-13T23:59:42” }, ”target”: { ”catalogId”: 43476, ”cosparId”: ”1804701”, ”name”: ”gracefo1”, ”sicCode”: 123 }, ”timebias”: { ”fitPolynom”: [ 8.3908211552, -12.6159783974, 0.0 ], ”numPassSegments”: 22, ”numPasses”: 14, ”passSegements”: [ { ”endDate”: ”2019-06-14T03:25:05”, ”normalPointCount”: 9, ”startDate”: ”2019-06-14T03:24:29”, ”stationName”: ”MONL”, ”timebias”: 0.10884360304111314 }, ... { ”endDate”: ”2019-06-16T22:25:20”, ”normalPointCount”: 4, ”startDate”: ”2019-06-16T22:25:08”, ”stationName”: ”YARL”, ”timebias”: -39.15346410469031 } ], ”plotURL”:”http://slr.gfz-potsdam.de/tb/v1/cpf/4bb84bf495faf8f7214b601d6fd847052fd1ef6e”, ”rms”: 5.5239025414, ”tb”: -36.37480423659871 } } The estimated timebias (for the time of request) can be found in the ”tb” field of the timebias section. The fit polynomial coefficients as well as the raw data points are also given. The polynomial coefficients are given in reverse order (c, x, x^2,...). The time argument for the polynomial are fractional days since the start epoch of the CPF. This API allows a better integration into existing station software stacks, so if you want you can try this API. We would be very thankful for bug reports, comments or feature requests. Best Sven and Jens -- Dr.-Ing. Sven Bauer Section 1.2 Global Geomonitoring and Gravity Field, Earth System Parameters and Orbit Dynamics, POT3 Satellite Laser Ranging Station Phone: +49 331 288 1738 Fax: +49 331 288 1169 E-mail: sven.bauer@gfz-potsdam.de ___________________________________ Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences Foundation under public law of the federal state of Brandenburg Telegrafenberg, D-14473 Potsdam Author: Sven Bauer, GFZ Potsdam The estimated timebias (for the time of request) can be found in the ”tb” field of the timebias section. The fit polynomial coefficients as well as the raw data points are also given. The polynomial coefficients are given in reverse order (c, x, x2,...). The time argument for the polynomial are fractional days since the start epoch of the CPF. -- |