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  • 1
    Online Resource
    Online Resource
    Berlin, Heidelberg :Springer Berlin / Heidelberg,
    Keywords: Gravity -- Measurement. ; Satellite geodesy. ; Geodetic satellites. ; Electronic books.
    Description / Table of Contents: In Germany, many processing, modeling and interpreting methodologies for studying the earth's magnetic and gravity fields were developed under a specific program using satellites. This book presents results of studies in that program from 2005-2008.
    Type of Medium: Online Resource
    Pages: 1 online resource (586 pages)
    Edition: 1st ed.
    ISBN: 9783642102288
    Series Statement: Advanced Technologies in Earth Sciences Series
    Language: English
    Note: Intro -- Preface -- Contents -- Contributors -- Part I CHAMP and GRACE -- More Accurate and Faster Available CHAMP and GRACE Gravity Fields for the User Community -- 1 Introduction -- 2 Gravity Field Determination from Analysis of High-Low SST Data -- 3 Main Results of the BMBF/DFG Project CHAMP/GRACE -- References -- The CHAMP/GRACE User Portal ISDC -- 1 Introduction -- 2 Data Lifecycle Management -- 3 Metadata Model -- 4 Portal Architecture -- 4.1 Application Framework -- 4.2 Data Flow -- 4.3 Interfaces -- 5 Backend for Operational Services -- 5.1 Component Deployment -- 6 Outlook -- References -- Improvements for the CHAMP and GRACE Observation Model -- 1 Introduction -- 2 GPS Carrier Phase Wind-Up -- 2.1 General -- 2.2 Carrier Phase Wind-Up Validation -- 3 GPS Attitude Model -- 3.1 Nominal Yaw Regime -- 3.2 Noon/Midnight Turn Regime -- 3.3 Shadow Crossing Regime -- 3.4 Post-shadow Regime -- 4 Summary -- References -- The Release 04 CHAMP and GRACE EIGEN Gravity Field Models -- 1 Introduction -- 2 Monthly EIGEN-GRACE05S Time Series -- 3 Weekly EIGEN-GRACE05S Time Series -- 4 Monthly EIGEN-CHAMP05S Time Series -- 5 Satellite-Only and Combined EIGEN-5S and EIGEN-5C Solutions -- 6 A New Mean, Static EIGEN-CHAMP05S Gravity Field Model and Its Evaluation -- 7 Summary and Conclusions -- References -- Orbit Predictions for CHAMP and GRACE -- 1 Introduction -- 2 Orbit Prediction System -- 2.1 Preprocessing -- 2.2 Orbit Determination -- 2.3 Products -- 3 Accuracy of Predicted Orbits -- 4 Conclusions -- References -- Rapid Science Orbits for CHAMP and GRACE Radio Occultation Data Analysis -- 1 Introduction -- 2 GPS Rapid Science Orbits -- 3 Low Earth Orbiters Rapid Science Orbits -- 4 Summary -- References -- Parallelization and High Performance Computationfor Accelerated CHAMP and GRACE Data Analysis -- 1 Introduction. , 2 Removal of GPS Clock Parameters from the Observation Equations Using Dedicated Projections -- 3 Accelerated Computation of Normal Equations from Observation Equations via Additional Row-Block Parallelization -- 4 Adjustment of Satellite Arcs of Arbitrary Length -- 5 Conclusion -- References -- Part II GRACE -- Improved GRACE Level-1 and Level-2 Productsand Their Validation by Ocean Bottom Pressure -- 1 Introduction -- 2 The GRACE Mission Configuration and Key Instrumentation -- 3 The GRACE Level-1 and Level-2 Products -- 4 Main Results of the BMBF/DFG Project GRACE -- References -- The GRACE Gravity Sensor System -- 1 GRACE Sensor System -- 1.1 The Accelerometer -- 1.1.1 Logical Model -- 1.1.2 Accelerometer Noise Model -- 1.2 The Star Sensor -- 1.2.1 Star Sensor Noise Model -- 1.3 The GPS Receiver -- 1.3.1 Error Model -- 1.4 The K-Band Ranging System -- 1.4.1 Error Model -- 2 Sensor System Interaction -- 3 Force Models -- 3.1 Gravitational Forces -- 3.2 Non-gravitational Forces -- 4 Real Data Analysis -- 5 Data Processing -- 6 Conclusions and Outlook -- References -- Numerical Simulations of Short-Term Non-tidal Ocean Mass Anomalies -- 1 Introduction -- 2 Ocean Model for Circulation and Tides (OMCT) -- 3 ECMWF Analyses and Forecasts -- 4 Continental and Atmospheric Freshwater Fluxes -- 5 Variations in Total Ocean Mass -- 6 Conclusions -- References -- Improved Non-tidal Atmospheric and Oceanic De-aliasing for GRACE and SLR Satellites -- 1 Introduction -- 2 OMCT Configuration for AOD1B RL04 -- 3 Increase of the Temporal Resolution of AOD1B -- 4 AOD1B RL04 Time Series for Consistent SLR Data Processing -- 5 Conclusions -- 6 Notes -- References -- Global Gravity Fields from Simulated Level-1 GRACE Data -- 1 Introduction -- 2 Simulation of Observations -- 3 Estimation of Arc Specific Parameters and Gravity Field Coefficients. , 4 Estimation of Instrument Parameters -- 5 Orbit Geometry and Omission Error -- 6 Effect of Errors in the Background Models -- 7 Colored Observation Noise -- 8 Variation of the Arc Length and the Number of Instrument Parameters -- 9 Special Experiments Concerning the C20 Coefficient -- 10 Summary and Conclusions -- References -- ITG-GRACE: Global Static and Temporal Gravity Field Models from GRACE Data -- 1 Introduction -- 2 Physical Model -- 2.1 Model Setup -- 2.2 Stochastic Model -- 2.3 Representation of the Gravity Field -- 2.3.1 Static Gravity Field Representation -- 2.3.2 Representation of the Time Variable Gravity Field -- 3 Gravity Field Solution ITG-Grace03s -- 3.1 Data Set and Estimated Parameters -- 3.2 Temporal Variations -- 3.3 Static Solution -- 3.4 Covariance-Matrix -- 4 Conclusions -- References -- Validation of GRACE Gravity Fields by In-Situ Data of Ocean Bottom Pressure -- 1 Introduction -- 2 Data -- 2.1 In-Situ Ocean Bottom Pressure -- 2.2 GRACE -- 3 Methods -- 4 Results -- 5 Summary and Conclusions -- References -- Antarctic Circumpolar Current Transport Variability in GRACE Gravity Solutions and Numerical Ocean Model Simulations -- 1 Introduction -- 2 Data -- 3 Transport Variability and Ocean Bottom Pressure -- 4 SAM in GRACE Ocean Bottom Pressure -- 5 Discussion -- References -- Part III GOCE -- Gravity and Steady-State Ocean Circulation Explorer GOCE -- 1 Introduction -- 2 The GOCE Mission -- 3 GOCE in the Context of the Geotechnology-Programme -- 4 Conclusions -- References -- GOCE Data Analysis: From Calibrated Measurementsto the Global Earth Gravity Field -- 1 Introduction -- 2 Processing Strategy for the Different Data Types -- 2.1 Processing of the SST Data -- 2.1.1 Kinematic Orbit and Velocity Determination -- 2.1.2 Energy Integral -- 2.2 Processing of the SGG Data -- 2.2.1 Functional Model for In-Situ SGG Data Processing. , 2.2.2 Stochastic Model of SGG Data -- 2.3 Introduction of Regularizing Prior Information -- 2.4 Combination of All Observation Groups -- 3 Solving the Combined Normal Equation System -- 3.1 Preconditioned Conjugate Gradients Multiple Adjustment -- 3.2 Integration of VCE into PCGMA -- 3.3 Integration of the Decorrelation Filters into PCGMA -- 4 Conclusion and Outlook -- References -- GOCE and Its Use for a High-Resolution Global Gravity Combination Model -- 1 Pre-GOCE Satellite-only Models -- 2 GOCE and Satellite-only Models -- 3 GOCE and Global Gravity Field Combination Models -- 3.1 Surface Data -- 3.2 Combination Models Derived from Full and Block-Diagonal Normal Equations -- 3.3 The GOCE-Model: Combination with Full Normal Equations Only -- 4 Conclusions -- References -- Spectral Approaches to Solving the Polar Gap Problem -- 1 Introduction -- 2 Selected Strategies A Review -- 2.1 Stabilization with External Data -- 2.2 Stabilization without External Data -- 3 Regularization and Combination -- 4 Slepian Parameterization -- 4.1 Solving the Eigenvalue Problem -- 5 Conclusions -- References -- Regionally Refined Gravity Field Models from In-Situ Satellite Data -- 1 Introduction -- 2 Mathematical Model -- 2.1 Basis Functions -- 2.2 Regionally Adapted Regularization -- 3 Simulation Scenario -- 4 Conclusions -- References -- Quality Evaluation of GOCE Gradients -- 1 Cross-Over Analysis -- 1.1 Short Term Biases -- 1.2 Trend -- 1.3 Fourier Coefficients -- 2 Accuracy Analysis of External Reference Gradients in the Frequency Domain -- 2.1 Spectral Combination Method -- 2.2 Synthetic Data -- 2.3 Closed-Loop Differences in the Frequency Domain -- 3 Generation of Quality Reports -- 4 Conclusions -- References -- Validation of Satellite Gravity Field Models by Regional Terrestrial Data Sets -- 1 Introduction -- 2 Gravity Data -- 3 GPS and Levelling Data. , 4 Gravimetric Quasigeoid Models -- 5 Astrogeodetic Vertical Deflections -- 5.1 Astrogeodetic Validation of GPS/Levelling Data and Gravimetric Quasigeoid Models -- 5.2 Astrogeodetic Validation of Global Geopotential Models -- 6 Global Model Validation by Wavelet Techniques -- 6.1 Filtering Terrestrial Data by Second Generation Wavelets -- 6.2 First Results with Second Generation Wavelets -- 7 Conclusions -- References -- Comparison of GRACE and Model-Based Estimates of Bottom Pressure Variations Against In Situ Bottom Pressure Measurements -- 1 Introduction -- 2 Methodology -- 3 Comparison of Results with Bottom Pressure Sensors -- 4 Comparison of GRACE Results with Model Simulations and Bottom Pressure Sensors -- 5 Global EOF Fields of GRACE and Model pb Variations -- 6 Concluding Remarks -- References -- Part IV SEAVAR -- Sea Level Variations -- Prospects from the Past to the Present(SEAVAR) -- Radar Altimetry Derived Sea Level Anomalies -- The Benefit of New Orbits and Harmonization -- 1 Introduction -- 2 The Altimeter Database and Processing System (ADS) -- 3 Harmonization of Different Altimetric Missions -- 4 The Effects of New Orbits -- 5 Summary and Outlook -- References -- Combining GEOSAT and TOPEX/Poseidon Data by Means of Data Assimilation -- 1 Introduction -- 2 Model and Data -- 3 Results -- 4 Summary and Conclusions -- References -- Reanalysis of GPS Data at Tide Gauges and the Combination for the IGS TIGA Pilot Project -- 1 Introduction -- 2 Reprocessing of GPS Data at Tide Gauge Benchmarks at GFT -- 3 Combination of Weekly TIGA Solutions -- 4 Summary and Conclusions -- References -- Sea Level Rise in North Atlantic Derived from Gap Filled Tide Gauge Stations of the PSMSL Data Set -- 1 Introduction -- 2 The PSMSL Gauge Data Set -- 3 Theoretical Background and Used Method -- 4 Reduced Number of Gauges and Calibration of IFEOM. , 5 Conclusions.
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  • 2
    ISSN: 0044-8249
    Keywords: Chemistry ; General Chemistry
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Chemistry and Pharmacology
    Type of Medium: Electronic Resource
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  • 3
    ISSN: 0570-0833
    Keywords: Chemistry ; General Chemistry
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Chemistry and Pharmacology
    Type of Medium: Electronic Resource
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  • 4
    Publication Date: 2021-06-27
    Description: Compound flooding in coastal regions, that is, the simultaneous or successive occurrence of high sea levels and high river flows, is expected to increase in a warmer world. To date, however, there is no robust evidence on projected changes in compound flooding for northwestern Europe. We combine projected storm surges and river floods with probabilistic, localized relative sea‐level rise (SLR) scenarios to assess the future compound flood hazard over northwestern coastal Europe in the high (RCP8.5) emission scenario. We use high‐resolution, dynamically downscaled regional climate models (RCM) to drive a storm surge model and a hydrological model, and analyze the joint occurrence of high coastal water levels and associated river peaks in a multivariate copula‐based approach. The RCM‐forced multimodel mean reasonably represents the observed spatial pattern of the dependence strength between annual maxima surge and peak river discharge, although substantial discrepancies exist between observed and simulated dependence strength. All models overestimate the dependence strength, possibly due to limitations in model parameterizations. This bias affects compound flood hazard estimates and requires further investigation. While our results suggest decreasing compound flood hazard over the majority of sites by 2050s (2040–2069) compared to the reference period (1985–2005), an increase in projected compound flood hazard is limited to around 34% of the sites. Further, we show the substantial role of SLR, a driver of compound floods, which has frequently been neglected. Our findings highlight the need to be aware of the limitations of the current generation of Earth system models in simulating coastal compound floods.
    Description: Key Points: We combine high‐resolution projected storm surges with localized sea level rise and projected river floods to assess compound flood hazard in the RCP8.5 scenario We find decreasing compound flood hazard for 66% of the locations across northwestern Europe. Models reproduce upper tail dependence between storm surge and river floods, yet discrepancies exist in capturing dependence strength.
    Description: Alexander von Humboldt‐Stiftung (Humboldt Foundation) http://dx.doi.org/10.13039/100005156
    Keywords: 551.489 ; compound flood ; storm surge ; river floods ; sea level rise ; climate change ; Europe
    Type: article
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  • 5
    Publication Date: 2022-05-27
    Description: Author Posting. © American Meteorological Society, 2021. This article is posted here by permission of American Meteorological Society for personal use, not for redistribution. The definitive version was published in Bulletin of the American Meteorological Society 102(10), (2021): E1897–E1935, https://doi.org/10.1175/BAMS-D-19-0316.1.
    Description: Life on Earth vitally depends on the availability of water. Human pressure on freshwater resources is increasing, as is human exposure to weather-related extremes (droughts, storms, floods) caused by climate change. Understanding these changes is pivotal for developing mitigation and adaptation strategies. The Global Climate Observing System (GCOS) defines a suite of essential climate variables (ECVs), many related to the water cycle, required to systematically monitor Earth’s climate system. Since long-term observations of these ECVs are derived from different observation techniques, platforms, instruments, and retrieval algorithms, they often lack the accuracy, completeness, and resolution, to consistently characterize water cycle variability at multiple spatial and temporal scales. Here, we review the capability of ground-based and remotely sensed observations of water cycle ECVs to consistently observe the hydrological cycle. We evaluate the relevant land, atmosphere, and ocean water storages and the fluxes between them, including anthropogenic water use. Particularly, we assess how well they close on multiple temporal and spatial scales. On this basis, we discuss gaps in observation systems and formulate guidelines for future water cycle observation strategies. We conclude that, while long-term water cycle monitoring has greatly advanced in the past, many observational gaps still need to be overcome to close the water budget and enable a comprehensive and consistent assessment across scales. Trends in water cycle components can only be observed with great uncertainty, mainly due to insufficient length and homogeneity. An advanced closure of the water cycle requires improved model–data synthesis capabilities, particularly at regional to local scales.
    Description: WD acknowledges ESA’s QA4EO (ISMN) and CCI Soil Moisture projects. WD, CRV, AG, and KL acknowledge the G3P project, which has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement 870353. MIH and MS acknowledge ESA’s CCI Water Vapour project. MS and RH acknowledges the support by the EUMETSAT member states through CM SAF. DGM acknowledges support from the European Research Council (ERC) under Grant Agreement 715254 (DRY–2–DRY). Part of this research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration (80NM0018D0004).
    Description: 2022-04-01
    Keywords: Hydrologic cycle ; Satellite observations ; Surface fluxes ; Surface observations ; Water masses/storage ; Water budget/balance
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 6
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    PANGAEA
    In:  Supplement to: Riascos, José M; Carstensen, Daniel; Laudien, Jürgen; Arntz, Wolf E; Oliva, Marcelo; Güntner, Andreas; Heilmayer, Olaf (2009): Thriving and declining: climate variability shaping life-history and population persistence of Mesodesma donacium in the Humboldt Upwelling System. Marine Ecology Progress Series, 385, 151-163, https://doi.org/10.3354/meps08042
    Publication Date: 2023-05-12
    Description: Large-scale environmental patterns in the Humboldt Current System (HCS) show major changes during strong El Niño episodes, leading to the mass mortality of dominant species in coastal ecosystems. Here we explore how these changes affect the life-history traits of the surf clam Mesodesma donacium. Growth and mortality rates under normal temperature and salinity were compared to those under anomalous (El Niño) higher temperature and reduced salinity. Moreover, the reproductive spatial-temporal patterns along the distribution range were studied, and their relationship to large-scale environmental variability was assessed. M. donacium is highly sensitive to temperature changes, supporting the hypothesis of temperature as the key factor leading to mass mortality events of this clam in northern populations. In contrast, this species, particularly juveniles, was remarkably tolerant to low salinity, which may be related to submarine groundwater discharge in Hornitos, northern Chile. The enhanced osmotic tolerance by juveniles may represent an adaptation of early life stages allowing settlement in vacant areas at outlets of estuarine areas. The strong seasonality in freshwater input and in upwelling strength seems to be linked to the spatial and temporal patterns in the reproductive cycle. Owing to its origin and thermal sensitivity, the expansion and dominance of M. donacium from the Pliocene/Pleistocene transition until the present seem closely linked to the establishment and development of the cold HCS. Therefore, the recurrence of warming events (particularly El Niño since at least the Holocene) has submitted this cold-water species to a continuous local extinction-recolonization process.
    Keywords: CENSOR; Climate variability and El Niño Southern Oscillation
    Type: Dataset
    Format: application/zip, 7 datasets
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  • 7
    Publication Date: 2023-09-09
    Description: Surface air temperature measurements obtained from different sensors are used to construct a unique time series with one minute time-interval. Apart from differences in design and environmental exposition, periods of missing data also exist in the data series of each sensor. A primary data set was selected in terms of quality and temporal extension. A combination of two different techniques is applied to complete this data set: one is based on the autocorrelation of the series and the other on measurements taken from other sensors. The resulting values constitute a complete series of surface air temperature at AGGO.
    Keywords: AGGO; Argentina; Argentinean–German Geodetic Observatory; Monitoring station; MONS
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 8
    Publication Date: 2023-09-09
    Description: Relative humidity measurements obtained from different sensors are used to construct a unique time series with one minute time-interval. Apart from differences in design and environmental exposition, periods of missing data also exist in the data series of each sensor. A primary data set was selected in terms of quality and temporal extension. A combination of two different techniques is applied to complete this data set: one is based on the autocorrelation of the series and the other on measurements taken from other sensors. The resulting values constitute a complete series of relative humidity at AGGO.
    Keywords: meteorological data; relative humidity; South America
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 9
    Publication Date: 2023-08-09
    Description: Surface air temperature measurements obtained from different sensors are used to construct a unique time series with one minute time-interval. Apart from differences in design and environmental exposition, periods of missing data also exist in the data series of each sensor. A primary data set was selected in terms of quality and temporal extension. A combination of two different techniques is applied to complete this data set: one is based on the autocorrelation of the series and the other on measurements taken from other sensors. The resulting values constitute a complete series of surface air temperature at AGGO.
    Keywords: AGGO; Argentina; Argentinean–German Geodetic Observatory; DATE/TIME; Flag; HEIGHT above ground; Measured by Rotronic MP408A or interpolated [see Flag]; Monitoring station; MONS; Temperature, air
    Type: Dataset
    Format: text/tab-separated-values, 1043728 data points
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  • 10
    Publication Date: 2023-08-09
    Description: Surface air temperature measurements obtained from different sensors are used to construct a unique time series with one minute time-interval. Apart from differences in design and environmental exposition, periods of missing data also exist in the data series of each sensor. A primary data set was selected in terms of quality and temporal extension. A combination of two different techniques is applied to complete this data set: one is based on the autocorrelation of the series and the other on measurements taken from other sensors. The resulting values constitute a complete series of surface air temperature at AGGO.
    Keywords: AGGO; Argentina; Argentinean–German Geodetic Observatory; DATE/TIME; Flag; HEIGHT above ground; Measured by Rotronic MP408A or interpolated [see Flag]; Monitoring station; MONS; Temperature, air
    Type: Dataset
    Format: text/tab-separated-values, 1051186 data points
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