The development of the GSFC DORIS contribution to ITRF2014

AbstractThe NASA GSFC DORIS analysis center has processed data from January 1993 to December 2014 and provided 1141 weekly solutions in the form of normal equations for incorporation into the DORIS solution for ITRF2014. The solution time series, designated as gscwd26, were based on tracking data to eleven DORIS satellites divided generally into seven-day arcs. With respect to the ITRF2008 submission (Le Bail et al., 2010), the measurement model was updated to model the beacon frequency variations at certain DORIS sites, to apply the DORIS antenna phase law for the Starec and Alcatel antennae, and to apply the antenna offset corrections in the NASA GSFC orbit determination software rather than using the data-supplied corrections. We show that computing the antenna offset corrections in the orbit determination software is superior to using the offset corrections that are supplied with the DORIS data, and that this improves the RMS of fit for SPOT-2, Envisat, SPOT-4, and SPOT-5. The updates for the force model included: (1) the development of improved nonconservative force modeling for SPOT-2, SPOT-3, SPOT-5, Envisat, and HY-2A, and (2) the application of an updated static gravity model based on GRACE and GOCE data, and weekly models of the variations in the low degree gravity field deduced independently from tracking by Satellite Laser Ranging (SLR) and DORIS. The post-ITRF2008 DORIS coordinate WRMS after the launch of Envisat and SPOT-5 is improved from 11.20 to 12.45mm with ITRF2008 (Le Bail et al., 2010), to between 8.50 and 9.99mm with the gscwd26 SINEX solution. The application of the DORIS antenna phase laws shifts the DORIS scale wrt DPOD2008 by +6.0mm from 1993/01/03 to 2002/06/06, and by +11.4mm from 2002/06/13 to 2011/10/30. The application of more detailed models of time-variable gravity reduces the slopes in the Helmert transformation parameters Tx, and Ty (w.r.t. DPOD2008) after 2005. The annual amplitude in these parameters is reduced from 3.2mm (for Tx), 4.1mm (for Ty), to 1.7mm (for Tx) and 2.8mm (for Ty)

Towards development of a consistent orbit series for TOPEX, Jason-1, and Jason-2

International audienc

Cluster analysis demonstrates the need to individualize care for cancer survivors

Background. In efforts to inform clinical screening and development of survivorship care services, we sought to characterize patterns of health care needs among cancer survivors by (a) identifying and characterizing subgroups based on self-reportedhealth care needs and (b) assessing sociodemographic, clinical, and psychosocial factors associated with these subgroups. Methods.  We conducted a cross-sectional self-administered survey among patients presenting for routine follow-up care for early-stage cancer at our academic medical center. Latent class cluster analysis was used to identify clusters of survivors based on survivorship care needs within seven domains. Multiplelogistic regression analyses were used to assess factors associatedwith these clusters. Results.  Among 292 respondents, the highest unmet needs were related to the domains of side effects (53%), self-care (51%), and emotional coping (43%). Our analysis identified four clusters of survivors: (a) low needs (n5123, 42%), (b) mainly physical needs (n546, 16%), (c) mainly psychological needs (n557, 20%), and (d) both physical and psychological needs (n566, 23%). Compared with cluster 1, those in clusters 2, 3, and 4 were younger (p < .03), those in clusters3 and 4 had higher levels of psychological distress (p < .05), and those in clusters 2 and 4 reported higher levels of fatigue (p < .05). Conclusion.  Unmet needs among cancer survivors are prevalent; however, a substantial group of survivors report low or no health care needs. The wide variation in health care needs among cancer survivors suggests a need to screen all patients,followed by tailored interventions in clinical care delivery and research