Die Ergebnisse eines vorangegangenen DFG-Projektes lieferten Hinweise darauf, dass die verstärkte Abgabe von Citrat und Protonen unter P-Mangelbedingungen auf einer erhöhten Akkumulation von Citronensäure im Wurzelgewebe beruht. Diese verstärkte Citratakkumulation ist einerseits die Folge einer erhöhten Biosyntheserate, beruht andererseits aber wahrscheinlich auch auf einem durch P-Limitierung der Atmungskette verminderten Citratumsatz im Citratcyklus. Zur Prüfung dieser Hypothese sollen P-Mangel induzierte Veränderungen der am Citratumsatz beteiligten Stoffwechselwege untersucht werden, um so Hinweise auf die an der Regulation beteiligten Schlüsselreaktionen zu erhalten. Im einzelnen sind Messungen der Wurzelatmung, des Pools an Adeninnukleotiden, des Redoxstatus (NADH/NAD-Verhältnis), 14C markierter Intermediärprodukte des Citratstoffwechsels und der an den Umsetzungen beteiligten Enzymaktivitäten, sowie Untersuchungen zur Citratakkumulation nach gezielter Applikation von Respirationshemmstoffen (KCN, SHAM) geplant. Die Wirksamkeit verschiedener Anionenkanalinhibitoren lieferte erste Hinweise, dass die Citratabgabe durch einen Anionenkanal im Plasmalemma erfolgt. Nach Isolierung von Protoplasten aus dem Proteoidwurzelgewebe soll über Patch-Clamp Messungen versucht werden, die Beteiligung eines Anionenkanals direkt nachzuweisen.
DWD’s fully automatic MOSMIX product optimizes and interprets the forecast calculations of the NWP models ICON (DWD) and IFS (ECMWF), combines these and calculates statistically optimized weather forecasts in terms of point forecasts (PFCs). Thus, statistically corrected, updated forecasts for the next ten days are calculated for about 5400 locations around the world. Most forecasting locations are spread over Germany and Europe. MOSMIX forecasts (PFCs) include nearly all common meteorological parameters measured by weather stations. For further information please refer to: [in German: https://www.dwd.de/DE/leistungen/met_verfahren_mosmix/met_verfahren_mosmix.html ] [in English: https://www.dwd.de/EN/ourservices/met_application_mosmix/met_application_mosmix.html ]
GRACE monthly gravity field solutions starting from April 2002 to June 2017 up to degree and order 90 computed with the Celestial Mechanics Approach at AIUB. The time series is an updated of AIUB-RL02 GRACE monthly gravity field time series using Level-1B GRACE data and updated background models. The dataset is created within the framework of the G3P - Global Gravity-based Groundwater Product project (https://www.g3p.eu/), this project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 870353.
Operational GRACE Follow-On monthly gravity field solutions starting from June 2018 up to degree and order 96 computed with the Celestial Mechanics Approach at AIUB (release 02). The time series is a loose continuation of AIUB-RL02 GRACE monthly gravity field time series and is an update of the operational GRACE Follow-On monthly gravity field time series (https://doi.org/10.5880/ICGEM.2020.001) using Level-1B GRACE Follow-On data and operational accelerometer transplant data from TUG (Institute of Geodesy, TU Graz, Working Group Theoretical Geodesy and Satellite Geodesy) and updated modelling strategies concerning data screening and weighting. The time series is reprocessed starting with June 2018. The dataset is created within the framework of the G3P project (https://www.g3p.eu/), this project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 870353. The operational solution of release 02 provides a complete time series of GRACE Follow-on data derived monthly gravity field solutions, is regularly updated with new monthly solutions and features a consistent processing with an advanced noise modelling of GRACE Follow-On data. It is recommened for usage. It is strongly recommended to use release 02 and discontinue using release 01.
Filtered GRACE/GRACE-FO spherical harmonic coefficients of ITSG-Grace2018/ITSG-Grace_operational Level-2 GSM products representing an estimate of Earth's gravity field variations during the specified timespan. The spherical harmonic coefficients are filtered with VDK3 filter (anisotropic filter taking the actual error covariance information of the underlying GSM coefficients into account, see Horvath et al. (2018)). The filtered spherical harmonic coefficients are accompanied by their variance-covariance matrices which are gained via variance propagation from the variance-covariance matrices of the unfiltered coefficients. This data set is basis of Boergens and Kvas (2021) and have been used in Boergens et al. (2021) to produce regional time series and their uncertainties, which can be reproduced with the code provided by Boergens (2021).
Version History: 15 June 2020: Initial release of the data. Note that the initial version number is 0002 in order to reflect the consistent data processing of this data set and Version 0002 of the data set Dahle & Murböck (2019, http://doi.org/10.5880/GFZ.GRAVIS_06_L2B). --------------------------------------------------------------------------------------------- Post-processed GRACE/GRACE-FO spherical harmonic coefficients of COST-G RL01 Level-2 GSM products representing an estimate of Earth's gravity field variations during the specified timespan. Post-processing steps comprise: (1) subtraction of a long-term mean field; (2) optionally, decorrelation and smoothing with VDK filter (anisotropic filter taking the actual error covariance information of the underlying GSM coefficients into account, see Horvath et al. (2018)); (3) replacement of coefficients C20, C30 (only for the months starting from 2016/11 and later), C21 and S21 and its formal standard deviations by values estimated from a combination of GRACE/GRACE-FO and Satellite Laser Ranging (SLR); (4) subtraction of linear trend caused by Glacial Isostatic Adjustment (GIA) as provided by a numerical model; (5) insertion of geocenter coefficients (C10, C11, S11); and (6) removal of estimated aliased signal of the S2 tide (161 days period). These coefficients represent signals caused by water mass redistribution over the continents and in the oceans. These post-processed GRACE/GRACE-FO GSM products are denoted as Level-2B products. There are multiple variants of Level-2B products available that differ by the characteristics of the anisotropic filter applied. These variants are distinguishable by the following strings in the product file names: - 'NFIL': Level-2B product is not filtered - 'VDK1': Level-2B product is filtered with VDK1 - 'VDK2': Level-2B product is filtered with VDK2 - 'VDK3': Level-2B product is filtered with VDK3 - 'VDK4': Level-2B product is filtered with VDK4 - 'VDK5': Level-2B product is filtered with VDK5 - 'VDK6': Level-2B product is filtered with VDK6 - 'VDK7': Level-2B product is filtered with VDK7 - 'VDK8': Level-2B product is filtered with VDK8 The individual auxiliary data sets and models used during the post-processing steps mentioned above are provided as well (in the aux_data folder): - 'GRAVIS-2B_2002095-2020091_GFZOP_0600_NFIL_0002.gz': Long-term mean field calculated as unweighted average of the 183 available GFZ RL06 GSM products in the period from 2002/04 up to and including 2020/03. - 'GRAVIS-2B_COSTG_GRACE+SLR_LOW_DEGREES_0002.dat': time series of coefficients C20, C30, C21 and S21 estimated from a combination of GRACE/GRACE-FO and SLR - 'GRAVIS-2B_GIA_ICE-6G_D_VM5a_0002.gz': Model from Peltier et al. (2018) for subtraction of linear trend caused by GIA - 'GRAVIS-2B_COSTG_GEOCENTER_0002.dat': Time series with geocenter coefficients estimated from COST-G RL01 Further information about the Level-2B products and the auxiliary data is provided in the header of the corresponding data files.
Operational GRACE Follow-On monthly gravity field solutions starting from June 2018 up to degree and order 96 computed with the Celestial Mechanics Approach at AIUB. The time series is a loose continuation of AIUB-RL02 GRACE monthly gravity field time series using Level-1B GRACE Follow-On data and operational accelerometer transplant data from IfG (Institute of Geodesy, TU Graz, Working Group Theoretical Geodesy and Satellite Geodesy) and updated background models. The dataset is created within the framework of the G3P project (https://www.g3p.eu/), this project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 870353.
Spherical harmonic coefficients that are zero over the continents, and provide the anomalous simulated ocean bottom pressure that includes non-tidal air and water contributions elsewhere during the specified timespan. These coefficients differ from GLO (or GAC) coefficients over the ocean domain by disregarding upper air density anomalies. The anomalous signals are relative to the mean field from 2003-2014.
Version History:09 June 2020:Release of Version 0002. This is an update of Version 0001 of the same data set. All changes and updates are documented in the changelog available via the data download section. Previously released versions of this data set are available at ftp://isdcftp.gfz-potsdam.de/grace/GravIS/GFZ/Level-2B/old_versions---------------------------------------------------------------------------------------------Post-processed GRACE/GRACE-FO spherical harmonic coefficients of GFZ RL06 Level-2 GSM products representing an estimate of Earth's gravity field variations during the specified timespan. Post-processing steps comprise: (1) subtraction of a long-term mean field; (2) optionally, decorrelation and smoothing with VDK filter (anisotropic filter taking the actual error covariance information of the underlying GSM coefficients into account, see Horvath et al. (2018)); (3) replacement of coefficients C20, C30 (only for the months starting from 2016/11 and later), C21 and S21 and its formal standard deviations by values estimated from a combination of GRACE/GRACE-FO and Satellite Laser Ranging (SLR); (4) subtraction of linear trend caused by Glacial Isostatic Adjustment (GIA) as provided by a numerical model; (5) insertion of geocenter coefficients (C10, C11, S11); and (6) removal of estimated aliased signal of the S2 tide (161 days period). These coefficients represent signals caused by water mass redistribution over the continents and in the oceans.These post-processed GRACE/GRACE-FO GSM products are denoted as Level-2B products.There are multiple variants of Level-2B products available that differ by the characteristics of the anisotropic filter applied. These variants are distinguishable by the following strings in the product file names:- 'NFIL': Level-2B product is not filtered- 'VDK1': Level-2B product is filtered with VDK1- 'VDK2': Level-2B product is filtered with VDK2- 'VDK3': Level-2B product is filtered with VDK3- 'VDK4': Level-2B product is filtered with VDK4- 'VDK5': Level-2B product is filtered with VDK5- 'VDK6': Level-2B product is filtered with VDK6- 'VDK7': Level-2B product is filtered with VDK7- 'VDK8': Level-2B product is filtered with VDK8The individual auxiliary data sets and models used during the post-processing steps mentioned above are provided as well (in the aux_data folder):- 'GRAVIS-2B_2002095-2020091_GFZOP_0600_NFIL_0002.gz': Long-term mean field calculated as unweighted average of the 183 available GFZ RL06 GSM products in the period from 2002/04 up to and including 2020/03.- 'GRAVIS-2B_GFZOP_GRACE+SLR_LOW_DEGREES_0002.dat': time series of coefficients C20, C30, C21 and S21 estimated from a combination of GRACE/GRACE-FO and SLR- 'GRAVIS-2B_GIA_ICE-6G_D_VM5a_0002.gz': Model from Peltier et al. (2018) for subtraction of linear trend caused by GIA- 'GRAVIS-2B_GFZOP_GEOCENTER_0002.dat': Time series with geocenter coefficients estimated from GFZ RL06Further information about the Level-2B products and the auxiliary data is provided in the header of the corresponding data files.
Spherical harmonic coefficients that represent the sum of the ATM (or GAA) and OCN (or GAB) coefficients during the specified timespan. These coefficients represent anomalous contributions of the non-tidal dynamic ocean to ocean bottom pressure, the non-tidal atmospheric surface pressure over the continents, the static contribution of atmospheric pressure to ocean bottom pressure, and the upper-air density anomalies above both the continents and the oceans. The anomalous signals are relative to the mean field from 2003-2014.
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