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Data sets of the scale factors of thermospheric density model NRLMSISE-00 from SLR and accelerometer measurements of the paper:
Zeitler et al. (2021): Scale factors of the thermospheric density - a comparison of SLR and accelerometer solutions, Journal of 
Geophysical Research: Space Physics.
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	Responsible persons of the data sets:
        SLR:
		DOGS-OC: Lea Zeitler
			 Deutsches Geodätisches Forschungsinstitut (DGFI-TUM)
			 Arcisstraße 21
			 D-80333 München

		 GROOPS: Anno Löcher
			 Institute of Geodesy and Geoinformation
			 Nussallee 17
			 D-53115 Bonn
	ACC:
			Kristin Vielberg
			Institute of Geodesy and Geoinformation
			Nussallee 17
			D-53115 Bonn

	Date: 31.08.2021

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Content
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"Dataset_DOGSOC_GROOPS.h5" this directory contains the 12-hour thermospheric density scale factors for the satellites Starlette, Stella and 
 Larets of the Chapter 4.2. Each path includes a file with three columns. The first column contains the time vector in JD2000.0.
 The second and third columns contain the scale factor time series. The former contains the unfiltered time series with a temporal resolution
 of 12 hours, the latter the scale factor time series smoothed with a 10-day moving average filter. The scale factor time series were derived 
 from precise orbit determination (POD) using two different software packages, the DOGS-OC software from the DGFI-TUM, and the GROOPS software
 from IGG Bonn. For the processing different orbit length were assumend: DOGS-OC: 7-day arcs; GROOPS: 3-day arcs.
 The following scale factor time series are  available:   

	/DOGSOC/starlette
	/DOGSOC/stella
	/DOGSOC/larets
	/GROOPS/starlette
	/GROOPS/stella
	/GROOPS/larets

"Dataset_SLR_ACC.h5" this directory contains the 12-hour thermospheric density scale factors from SLR measurements to the satellites Starlette,
 WESTPAC, Stella and Larets and from accelerometer measurements of the satellites GRACE and CHAMP of Chapter 4.1. Each path includes a file with 
 three colums. Again, the first column contains the time vector in JD2000.0 and columns 2 and 3 contain the thermospheric density scale factors:
 column 2 the unfiltered and column 3 the smoothed with a 10-day moving average filter. 
 The following scale factor time series are available:
 
	/ACC/CHAMP
	/ACC/GRACE
	/SLR/starlette
	/SLR/westpac
	/SLR/stella
	/SLR/larets

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Description
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The following table shows the estimated parameters during POD using DOGS-OC and GROOPS.

+-------------------------------+------------------------------------------------+---------------------------------------------------+
|Estimated Parameters:          |         DOGS-OC (temporal resolution)          |            GROOPS (temporal resolution)           |
+-------------------------------+------------------------------------------------+---------------------------------------------------+
|Initial state vector           |           One set per orbit solution           |              One set per orbit solution           |
|Solar radiation pressure scale |                                                |                                                   |
|coefficient (SRP)              |              One per orbit solution            |                     One per month                 |
|Albedo scale coefficient (ERP) |              One per orbit solution            |                     One per month                 |
|Scale factors (for             |                                                |                                                   |
|thermospheric density)         |                  12-hours                      |                        12-hours                   |
|Station coordinates            |                       -                        |         One set per month for selected stations   |
|Range biases                   |          One bias per station per arc          |         One per month per satellite and station   |
+-------------------------------+------------------------------------------------+---------------------------------------------------+

The following models have been used for the processing the three spherical satellites with DOGS-OC and GROOPS.
+-------------------------------+------------------------------------------------+---------------------------------------------------+
| Background models:            |   	             DOGS-OC                     |                      GROOPS                       |
+-------------------------------+------------------------------------------------+---------------------------------------------------+
|Earth gravity field            | EIGEN-6S model (Förste et al., 2011). Static   | EIGEN-6S4 (Förste et al., 2016). Static part:     |
|				| part: up to degree/order 120. Time variable    | up to degree/order 120. Time variable part: up to |
|				| part: up to degree/order 50.                   | degree/order 60.                                  |
|Lunar gravity field            | Up to degree/order 50 (Konopliv et., 2001)     |                         -                         |
|Short-term mass variations     |                      -                         | AOD1B RL 06 (Dobslaw et al., 2017)                |
|Solid Earth tides              | IERS Conventions 2010                          | IERS Conventions 2010                             |
|Ocean tides                    | EOT11a model (Savcenko & Bosch, 2012) up to    | FES2014b (Carrere et al.,2016) up to degree/order |
|                               | degree/order 30 + 62 admittance waves (Petit & | 180 + admittance waves                            |
|				| Luzum, 2010)                                   |                                                   |
|Atmospheric tides              | BB2003 (Biancale & Bode, 2006)                 | AOD1B RL 06                                       |
|Ocean pole tide                | (Desai, 2002)                                  | (Desai, 2002)                                     |
|Solid Earth pole tide          | IERS Conventions 2010                          | IERS Conventions 2010                             |
|Permanent tides                | IERS Conventions 2010                          | IERS Conventions 2010                             |
|General relativistic correction| Schwarzschild, de Sitter, Lense-Thirring       | Schwarzschild, de Sitter, Lense-Thirring          |
|                               | (IERS Conventions 2010)                        | (IERS Conventions 2010)                           |
|Third body effect              | DE-421: Sun, Moon, Mercury, Venus, Mars,       | DE-421: Sun, Moon, Planets                        |
|(direct tides)                 | Jupiter, Saturn (Folkner et al., 2008)         |                                                   |
|Solar radiation pressure (SRP) | Cannonball model, constant radiation with      | Cannonball model                                  |
|                               | eclipse modeling                               |                                                   |
|Earth radiation presure (ERP)  | Albedo and infrared (Knocke et al., 1988)      | Albedo and infrared (Knocke et al., 1988)         |
|Atmospheric drag               | NRLMSISE-00                                    | NRLMSISE-00                                       |
+-------------------------------+------------------------------------------------+---------------------------------------------------+

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References
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Biancale, R., & Bode, A. (2006). Mean annual and seasonal atmospheric tide models
based on 3-hourly and 6-hourly ECMWF surface pressure data (Scientific Tech-
nical Report STR06/01). GeoForschungsZentrum (GFZ) Potsdam, Germany.

Carrère, L., Lyard, F., Cancet, M., Guillot, A., & Picot, N. (2016). FES 2014, a new
tidal model - Validation results and perspectives for improvements. In Proceed-
ings of the ESA Living Planet Symposium 2016, Prague, Czech Republic, 9–13
May 2016.

Desai, S. D. (2002). Observing the pole tide with satellite altimetry. Journal of Geo-
physical Research: Oceans, 107 (C11), 7–1. doi: 10.1029/2001JC001224

Dobslaw, H., Bergmann-Wolf, I., Dill, R., Poropat, L., Thomas, M., Dahle, C.,
Esselborn, S. König, R., & Flechtner, F. (2017). A new high-resolution model of non-tidal 
atmosphere and ocean mass variability for de-aliasing of satellite gravity observations:
AOD1B RL06.Geophysical Journal International , 211 (1), 263–269.
doi:10.1093/gji/ggx302

Folkner, W. F., Williams, J. G., & Boggs, D. H. (2008). Planetary ephemeris DE421
for Phoenix navigation. JPL IOM 343R-08-002 .

Förste, C., Bruinsma, S., Flechtner, F., Marty, J.-C., Dahle, C., Abrykosov, O., 
Lemoine, J.M., Neumayer, H., Barthelmes, F., & Biancale, R. (2011). EIGEN-6 a new
combined global gravity field model including GOCE data from the collaboration of GFZ
Potsdam and GRGS-Toulouse. In Geophysical research abstracts (Vol. 13). EGU General Assembly.

Förste, C., Bruinsma, S., Rudenko, S., Abrikosov, O., Lemoine, J. M., Marty, J. C.,
Neumayer, K.H., &  Biancale, R.(2016). EIGEN-6S4 A time-variable satellite-only gravity
field model to d/o 300 based on LAGEOS, GRACE and GOCE data from the
collaboration of GFZ Potsdam and GRG

Folkner, W. F., Williams, J. G., & Boggs, D. H. (2008). Planetary ephemeris DE421
for Phoenix navigation. JPL IOM 343R-08-002 .

Konopliv, A. S., Asmar, S. W., Carranza, E., Sjogren, W. L., & Yuan, D. N. (2001).
Recent gravity models as a result of the Lunar Prospector mission. Icarus, 150 (1),
1–18. doi: 10.1006/icar.2000.6573

Petit, G., & Luzum, B. (2010). IERS Conventions (2010) (Tech. Rep.). Bureau In-
ternational des Poids et Mesures (France).

Savcenko, R., & Bosch, W. (2012). EOT11A-empirical ocean tide model from multi-
mission satellite altimetry. DGFI Report No. 89.

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Contact
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If you have any questions regarding these data, please contact:

Lea Zeitler
Deutsches Geodätisches Forschungsinstitut (DGFI-TUM)
Arcisstraße 21
D-80333 München

lea.zeitler@tum.de
