About: Deriving daily snapshots of the Earth's gravity field from GRACE L1B data using Kalman filtering

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scholarly article by Enrico Kurtenbach et al published 11 September 2009 in Geophysical Research Letters

Attributes	Values
rdf:type	Item
description	wetenschappelijk artikel (nl) наукова стаття, опублікована у вересні 2009 (uk) im September 2009 veröffentlichter wissenschaftlicher Artikel (de) scholarly article by Enrico Kurtenbach et al published 11 September 2009 in Geophysical Research Letters (en)
publication date	wds:Q58120423-2D59587F-E97A-40B2-B714-14B2114B3A54
publication date	2009-09-11 00:00:00Z (xsd:dateTime)
language of work or name	wds:Q58120423-9AE15C6F-CDB2-4EA7-87AA-A50DAB831D2B
language of work or name	English
cites work	wds:Q58120423-53E12C24-6B80-4139-85EB-744FB035A49A wds:Q58120423-8C577653-5265-4FC6-8853-546BDD422C52 wds:Q58120423-A335AF47-65C1-4DB0-BB51-0879CD87EA15 wds:Q58120423-C965422D-1790-4BC3-8C3C-918689A509A7 wds:Q58120423-F16EE144-91F3-420C-93C3-43C638CC21A8
cites work	New Results in Linear Filtering and Prediction Theory A global hydrological model for deriving water availability indicators: model tuning and validation A New Approach to Linear Filtering and Prediction Problems Value of river discharge data for global-scale hydrological modeling Improvement of Global Hydrological Models Using GRACE Data
author name string	wds:Q58120423-CA3C1372-A2AD-4415-9ECD-EBDD74DB457E
author name string	Enrico Kurtenbach
rdfs:label	Deriving daily snapshots of the Earth's gravity field from GRACE L1B data using Kalman filtering (en) Deriving daily snapshots of the Earth's gravity field from GRACE L1B data using Kalman filtering (nl)
skos:prefLabel	Deriving daily snapshots of the Earth's gravity field from GRACE L1B data using Kalman filtering (en) Deriving daily snapshots of the Earth's gravity field from GRACE L1B data using Kalman filtering (nl)
name	Deriving daily snapshots of the Earth's gravity field from GRACE L1B data using Kalman filtering (en) Deriving daily snapshots of the Earth's gravity field from GRACE L1B data using Kalman filtering (nl)
author	wds:Q58120423-21DC1EBB-7922-48E1-BCFD-5F37751F9B37 wds:Q58120423-7432B83E-FA2A-4105-8D2C-89EA9C44D284
author	Annette Eicker Torsten Mayer-Gürr
title	wds:Q58120423-49425148-C78A-404B-BEE9-31460D5210B2
title	Deriving daily snapshots of the Earth's gravity field from GRACE L1B data using Kalman filtering (en)
instance of	wds:Q58120423-972EA0BE-D225-4F5B-B489-7280025F6EED
instance of	scholarly article
main subject	wds:Q58120423-23D734AF-9D54-448F-8EDF-D4688DCB29D1
main subject	gravity
published in	wds:Q58120423-FFA77785-C810-4951-8496-A7FB00494AB2
published in	Geophysical Research Letters
issue	wds:Q58120423-F30E56A8-6844-4275-8664-DF6C8773209B
volume	wds:Q58120423-A66D68E5-BD2F-4C68-B99B-47AB0B7F021D
issue	17
volume	36
DOI	wds:Q58120423-CCCC8718-9AD3-4975-806D-151BC3BFF9C4
DOI	http://dx.doi.org/10.1029/2009GL039564
DOI	10.1029/2009GL039564
ADS bibcode	wds:Q58120423-2D2A81A0-36C1-492A-A900-1ECD3B5C76E6
ADS bibcode	2009GeoRL..3617102K
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q58120423
is cites work of	Evaluation of high-frequency oceanographic signal in GRACE data: Implications for de-aliasing Comparisons of atmospheric data and reduction methods for the analysis of satellite gravimetry observations Improved methods for observing Earth's time variable mass distribution with GRACE using spherical cap mascons Revisiting Greenland ice sheet mass loss observed by GRACE High frequency barotropic ocean variability observed by GRACE and satellite altimetry The quest for a consistent signal in ground and GRACE gravity time-series Global Surface Geostrophic Ocean Currents Derived from Satellite Altimetry and GOCE Geoid Monthly and sub-monthly hydrological variability: in-orbit validation by GRACE level 1B observations Tropospheric delay determination by Kalman filtering VLBI data Determination of a terrestrial reference frame via Kalman filtering of very long baseline interferometry data Improving global mass flux solutions from Gravity Recovery and Climate Experiment (GRACE) through forward modeling and continuous time correlation Daily GRACE satellite data evaluate short-term hydro-meteorological fluxes from global atmospheric reanalyses
is cites work of	wds:Q58110070-CBAD634E-9A38-44F3-B9E0-CCBFA2B16403 wds:Q58306289-5F176AD4-E334-42F5-A827-C4D61A95B85E wds:Q58203853-8D1070DC-CAB0-4749-85FF-B56060040BE9 wds:Q58120386-302091E6-A2C5-4C51-8556-5B4621C464C2 wds:Q58472225-5E151841-D8E7-48B7-8DF6-E9D8A161F9D7 wds:Q58402580-BD19536F-A10B-4885-B1F5-7AE01F8B26C5 wds:Q56456553-FA4C96CB-47A0-4AD7-BE54-CA996DA5A722 wds:Q60712648-A00DA6D6-C5D1-4829-9505-EB61F6DEE375 wds:Q58474603-8A7F00B1-60E8-491C-A862-A1F485EFD859 wds:Q58404108-8F65688E-511D-4CD6-9925-4345C6730AA4 wds:Q58472221-D45C93B4-99CE-4B48-9F11-EE4F7371FF3F wds:Q90245914-043377B5-ABD0-45D4-BACA-DF6D4DE1580D

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