Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Michael Heflin"'
Autor:
John B. Rundle, Joe Yazbeck, Andrea Donnellan, Geoffrey Fox, Lisa Grant Ludwig, Michael Heflin, James Crutchfield
Publikováno v:
Earth and Space Science, Vol 9, Iss 11, Pp n/a-n/a (2022)
Abstract Nowcasting is a term originating from economics, finance, and meteorology. It refers to the process of determining the uncertain state of the economy, markets or the weather at the current time by indirect means. In this paper, we describe a
Externí odkaz:
https://doaj.org/article/c3bb2c57796a4d8ba15e2bf34a5cb7dd
Autor:
Robert Granat, Andrea Donnellan, Michael Heflin, Gregory Lyzenga, Margaret Glasscoe, Jay Parker, Marlon Pierce, Jun Wang, John Rundle, Lisa G. Ludwig
Publikováno v:
Earth and Space Science, Vol 8, Iss 11, Pp n/a-n/a (2021)
Abstract We present a data‐driven approach to clustering or grouping Global Navigation Satellite System (GNSS) stations according to observed velocities, displacements or other selected characteristics. Clustering GNSS stations provides useful scie
Externí odkaz:
https://doaj.org/article/f5ed864ab8614549a411c94e31e1128e
Autor:
Mariana Berbec-Rostas, Soheila Comninos, Mary Miller Flowers, Sue Gunawardena-Vaughn, Michael Heflin, Nina Madsen
Publikováno v:
Sur: International Journal on Human Rights, Vol 15, Iss 28, Pp 105-112 (2018)
There have been numerous debates about rising authoritarianism and its impact on democracy and human rights. As a human rights funder whose central goal is to strengthen the resilience of the human rights movement, employing a racial justice lens to
Externí odkaz:
https://doaj.org/article/24102d145aa749dab4ae4ba2fc35cbb7
Autor:
Michael Heflin, Andrea Donnellan, Jay Parker, Gregory Lyzenga, Angelyn Moore, Lisa Grant Ludwig, John Rundle, Jun Wang, Marlon Pierce
Publikováno v:
Earth and Space Science, Vol 7, Iss 7, Pp n/a-n/a (2020)
Abstract This paper describes the methods used to estimate positions, velocities, breaks, and seasonal terms from daily Global Navigation Satellite System (GNSS) measurements. Break detection and outlier removal have been automated so that decades of
Externí odkaz:
https://doaj.org/article/dfa54bda3c834555a276629ee3caee9c
JTRF2020 is the latest TRF solution computed at JPL by assimilating frame input data submitted by the IVS, IGS, ILRS, and IDS for ITRF2020. Determined with SREF (Square-root Reference frame Estimation Filter), a computational code based on a square-r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59a112716466062a26c1e60dcf10ed32
https://doi.org/10.5194/egusphere-egu23-3212
https://doi.org/10.5194/egusphere-egu23-3212
JTRF2020 is a recent contribution by NASA Jet Propulsion Laboratory to IERS as part of their effort to determine ITRF2020. JTRF2020 is estimated daily using a sequential computational method (called "SREF") based on the SRIF and DMCS algorithms which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9229a62a4743feb9d2441acbe2a8ea6
https://doi.org/10.5194/egusphere-egu23-9468
https://doi.org/10.5194/egusphere-egu23-9468
Autor:
Claudio Abbondanza, Richard S. Gross, Benedikt Soja, Jay Parker, Toshio M. Chin, Michael Heflin, Xiaoping Wu
Publikováno v:
Advances in Space Research. 65:1235-1249
We review the main concepts underlying the determination of terrestrial reference frames (TRFs) through a recursive algorithm based on Kalman Filtering and Rauch-Tung-Striebel (RTS) smoothing which is currently adopted at Jet Propulsion Laboratory (J
Autor:
John B. Rundle, Robert Granat, Gregory A. Lyzenga, Andrea Donnellan, Jay Parker, Nathan Pulver, Jun Wang, Michael Heflin, Megan Mirkhanian, Lisa Grant Ludwig, Marlon Pierce, Margaret Glasscoe
Publikováno v:
Earth science informatics, vol 15, iss 3
GeoGateway (http://geo-gateway.org) is a web-based interface for analysis and modeling of geodetic imaging data and to support response to related disasters. Geodetic imaging data product currently supported by GeoGateway include Global Navigation Sa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66ffa4d7bb8bcda6addfcd743e13966c
https://escholarship.org/uc/item/7v49g243
https://escholarship.org/uc/item/7v49g243
Autor:
Michael Heflin, Andrea Donnellan, Robert Granat, Gregory A. Lyzenga, Margaret Glasscoe, John B. Rundle, Lisa Grant Ludwig, Marlon Pierce, Jun Wang, Jay Parker
Publikováno v:
Earth and Space Science, vol 8, iss 11
Earth and Space Science, Vol 8, Iss 11, Pp n/a-n/a (2021)
Earth and Space Science (Hoboken, N.j.)
Earth and Space Science, Vol 8, Iss 11, Pp n/a-n/a (2021)
Earth and Space Science (Hoboken, N.j.)
We present a data‐driven approach to clustering or grouping Global Navigation Satellite System (GNSS) stations according to observed velocities, displacements or other selected characteristics. Clustering GNSS stations provides useful scientific in
Autor:
Jun Wang, Jay Parker, Andrea Donnellan, Lisa Grant Ludwig, Marlon Pierce, Angelyn Moore, Gregory A. Lyzenga, John B. Rundle, Michael Heflin
Publikováno v:
Earth and Space Science, Vol 7, Iss 7, Pp n/a-n/a (2020)
This paper describes the methods used to estimate positions, velocities, breaks, and seasonal terms from daily Global Navigation Satellite System (GNSS) measurements. Break detection and outlier removal have been automated so that decades of daily me