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  • 1
    Monograph available for loan
    Monograph available for loan
    New York [u.a.] : McGraw-Hill
    Call number: MOP 16777
    Type of Medium: Monograph available for loan
    Pages: Getr. Zählung. : Ill., zahlr. graph. Darst. , [887 pages]
    Edition: 2. ed.
    Note: Chapter I INTRODUCTION 1. Location of Objects 2. Radio Means of Locating Objects 3. Definition of Radar A. DETECTION BY RADIO ECHOES 4. Frequency-Modulation Systems 5. Frequency-Shift Systems 6. Pulse Systems 7. Types of Data Presentation 8. Pulse Shape, Duration, and Repetition Frequency; Peak and Average Power B. OBJECTS 9. Aircraft as Objects 10. Ships as Objects 11. Land and Coastal Objects 12. Projectiles as Objects C. DETERMINATION OF DIRECTION AND RANGE 13. Determination of Range 14. Determination of Direction D. RECOGNIZING THE CHARACTERS OF OBJECTS E. EMPLOYING THE DATA Chapter II TIMING CIRCUITS A. CLIPPING CIRCUITS 1. Clipping wlth Diodes 2. Clipping with Amplifiers 3. Clipping with Cathode Followers B. R-C CIRCUITS 4. Transients in R-C Circuits 5. Saw-Tooth Generator 6. Decoupling Filters and Bias Circuits 7. R-C Peaker 8. Sloping Wavefront Applied to Peaker 9. R-C Coupling Circuits 10. Signal Bias and Clampers 11. Effect of Grid Return 12. Tube and Wiring Capacitances 13. Free-Running Plate-Coupled Multivibrator 14. Driven Plate-Coupled Multivibrator 15. Cathode-Coupled Multivibrator 16. Phantastron Delay Circuit C. R-L-C CIRCUITS 17. Transients in Parallel R-L-C Circuits 18. Ringing Circuit 19. Pulse Transformer 20. Blocking Oscillator 21. Traveling Waves on Artificial Transmission Lines 22. Reflections at Line Terminals 23. Applications of Artificial Transmission Lines Chapter III INDICATORS A. CATHODE-RAY TUBES 1. Electrostatic Cathode-Ray Tubes 2. Magnetic Cathode-Ray Tubes 3. Designations and Ratings of Cathode-Ray Tubes B. SWEEP-VOLTAGE CIRCUITS 4. Basic Type A Indicator Circuit 5. Methods of Improving the Linearity of Sweep Voltages 6. Phase-Inverter Circuits 7 Delayed Sweeps and Expanded Sweeps 8. Indicators Used with Lobe Switching 9. Type J Presentation C. SWEEP-CURRENT CIRCUITS 10. Range-Sweep Current from Initial Part of Exponential Rise 11. Range-Sweep Current from a Trapezoidal Voltage 12. R-C Trapezoidal-Voltage Generator 13. Feedback-Amplifier Sweep Circuit 14. Effect of Distributed Capacitance 15. Azimuth-Sweep Circuit for Type B Presentation 16. Requirements for Plan Position Indication 17. Rotating-Coil PPI 18. Electrical Azimuth Sweep for PPI Chapter IV RECEIVERS A. GENERAL CHARACTERISTICS OF RADAR RECEIVERS 1. Over-all Requirements and Limitations 2. Block Diagram B. RECEIVER NOISE 3. Nature of Noise 4. Sources of Noise 5. Receiver Input Stages 6. Receiver Noise Figure C. BANDWIDTH REQUIREMENTS 7 The Problem of Pulse Amplification 8 Analysis of Rectangular Pulses 9 Signal Frequencies in the Receiver 10 Bandwidth in Search-Type Systems 11 Bandwidth in FIre-Control Systems D. AMPLIFIERS 12. Equivalent Circuits 13. Symbols 14. Video Amplifiers 15. I-F Amplifiers 16. R-P Amplifiers E. MIXERS 17. Single-Input Mixers 18. Mixer Circuits 19. Crystal Mixers 20. Noise and Gain of Input Stages P. DETECTORS 21. Diode Detectors 22. Plate-Circuit Detectors G. LOCAL OSCILLATORS 23. Requirements 24. Triodes 25. Reflex Velocity-Modulated Tubes H. AUTOMATIC FREQUENCY CONTROL 26. The Discriminator 27. Utilization of Discriminator Output for Frequency Control J. OPERATION AND TESTING 28. Alignment 29. R-F Tuning Adjustments 30. Testing Chapter V MAGNETRONS 1. Motion of an Electron in an Electric Field Alone 2. Motion of an Electron in a Magnetic Field Alone 3. Motion of Electrons In Uniform, Mutually Perpendicular Electric and Magnetic Fields 4. Introduction to Magnetron Oscillators 5. Split-Anode Electron-Resonance Magnetron Oscillator, Plane Form 6. Multi-Anode Electron-Resonance Magnetron Oscillator, Cylindrical Form 7. Lumped-Constant Equivalent Circuit of Magnetron Tank Circuit 8. Characteristics of Magnetrons 9. Care of the Magnetron and Magnets 10. Checking the Proper Operation of the Magnetron Chapter VI MODULATORS A. PULSE FORMATION BY NETWORKS AND SWITCHES 1. Charging an Open-End Line 2. Pulse Formation by Discharge of an Open-End Line 3. Pulse Formation by a Shorted-End Line 4. Pulse-Forming Networks 5. Switching Devices for Discharging Pulse-Forming Networks B. LINE-PULSING MODULATORS 6. Charging Methods 7. Rotary-Spark-Gap Modulator 8. Modulator with Saturable-Core Reactor and Inductive-Impulse Charging C. DRIVER-POWER-AMPLIFIER MODULATORS 9. R-C-Coupled Power Amplifier 10. Transformer-Coupled Power Amplifier 11. Bootstrap Driver 12. Line-Controlled Blocking-Oscillator Driver 13. Delay-Line Controlled Driver 14. Driver Using Shorted-End Line 15. Saturable-Core-Reactor Driver 16. Blocking-Oscillator Modulator Chapter VII TRIODE TRANSMITTERS A. TRANSMITTER COMPONENTS 1. Tubes 2. Tuning Elements 3. Parasitic Suppressors 4. Power Supplies B. SINGLE-TUBE OSCILLATORS 5. Ultra-Audion Oscillator 6. Lighthouse-Tube Oscillator C. PUSH-PULL OSCILLATORS 7. Tuned-Plate Tuned-Grid Oscillator 8. Timed-Grid Tuned-Cathode Oscillator 9. Tuned-Plate Tuned-Grid Tuned-Cathode Oscillator D. RING OSCILLATORS 10. Tuned-Grid Tuned-Cathode Oscillator 11. Tuned-Plate Tuned-Cathode Oscillator 12. Tuned-Plate Tuned-Grid Tuned-Cathode Oscillator E. OUTPUT COUPLING 13. Direct Coupling 14. Balanced-to-Unbalanced Transformers 15. Coupling Loop as Resonant Transformer 16. Coupling Loop with Series Tuning 17. Coupling Loop with Parallel Tuning l6. Capacitive Coupling F. PULSING OF TRIODE OSCILLATORS 19 Grid-Leak Bias in Oscillators 20 Modulators for Triode Oscillators 21 Self-Pulsed Oscillators 22 Synchronization of Self-Pulsed Oscillators 23 Line-Controlled Self-Pulsed Oscillators 24 Tuning and Adjusting of Oscillators Chapter VIII RADIO-FREQUENCY LINES A. INTRODUCTION 1. Functions of Radio-Frequency Lines in Radar 2. Types of Radio-Frequency Lines 3. Losses 4. Open-Wire Lines 5. Coaxial Lines 6. Two-Conductor Shielded Cable 7. Hollow Wave Guides 8. Radio-Frequency Components B. THE LONG-LINE EQUATIONS 9. Distributed Constants 10. Representation of Steady-State Alternating Quantities by Complex Numbers 11. Notation 12. The Differential Equations and Their Solution 13. Interpretation of the Equations as Traveling Waves 14. Attenuation 15. Line with Negligible Losses 16. Characteristic Impedance 17. Reflection Coefficient 18. Vector Diagrams of Terminal Voltages fluid Currents 19. Standing Waves—Complete Reflection 20. Standing Waves--Partial Reflection 21. Standing-Wave Ratio 22. Practical Importance of Low Standing-Wave Ratio 23. Power 24. Efficiency 25. Impedance and Admittance 26. Impedance Circle Diagram 27. Examples of the Use of the Circle Diagram 28. Proof of the Circle Diagram 29. The Smith Chart C. IMPEDANCE MATCHING 30. Matching Requirements During Transmission 31. Types of Matching Devices 32. Methods of Matching an Antenna to the Characteristic Resistance of a Transmission Line 33. Methods of Matching a Transmission Line to a Transmitter 34. Matching Requirements During Reception 35. Prevention of Absorption of Received Power by Transmitter 36. Methods of Matching Receiver to Transmission Line 37. Effect of R-P Loading on Magnetrons 38. Practical Tuning Procedure 39. Fixed Versus Adjustable Matching D. R-F COMPONENTS OF TYPICAL RADAR SETS 40 Typical 100-Mcps Ground Set 41 Typical 500-Mcps Air-Borne Set 42 Typical 5000-Mcps Air-Borne Set 43 Constants of Coaxial and Open-Wire Lines 44 Some Coaxial-Line Accessories Chapter IX RADAR ANTENNAS AND PROPAGATION RADAR ANTENNAS 1. Reciprocity 2. Terms 3. The Half-Wave Antenna 4. Means of Exciting Half-Wave Antennas 5. Input Impedances of Center-Fed Antennas of Arbitrary Length 6. Adjustment of Antenna Impedance 7. Means of Supporting Half-Wave Antennas 8. The Quarter-Wave Antenna 9. Mechanism of Radiation from a Half-Wave Antenna 10. Fields Around a Half-Wave Antenna When the Radial Distance is Large 11. Polarization 12. Patterns of a Half-Wave Antenna; Pattern Interpretation 13. Vector Diagram for a Half-Wave Antenna 14. A Justifiable Approximation in Computing r 15. Sample Calculation Using Vector Diagram 16. A Principle of Vector Addition 17. Resultant Field of a Simple Array of Half-Wave Anten
    Location: MOP - must be ordered
    Branch Library: GFZ Library
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  • 2
    Series available for loan
    Series available for loan
    New York, NY : Geological Society of America
    Associated volumes
    Call number: SR 90.0006(33)
    In: Memoir
    Type of Medium: Series available for loan
    Pages: VIII, 188 S. + 3 pl.
    Series Statement: Memoir / Geological Society of America 33
    Language: English
    Location: Lower compact magazine
    Branch Library: GFZ Library
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  • 3
    Publication Date: 2022-05-27
    Description: © The Author(s), 2022. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Hand, K., Phillips, C., Murray, A., Garvin, J., Maize, E., Gibbs, R., Reeves, G., San Martin, A., Tan-Wang, G., Krajewski, J., Hurst, K., Crum, R., Kennedy, B., McElrath, T., Gallon, J., Sabahi, D., Thurman, S., Goldstein, B., Estabrook, P., Lee, S. W., Dooley, J. A., Brinckerhoff, W. B., Edgett, K. S., German, C. R., Hoehler, T. M., Hörst, S. M., Lunine, J. I., Paranicas, C., Nealson, K., Smith, D. E., Templeton, A. S., Russell, M. J., Schmidt, B., Christner, B., Ehlmann, B., Hayes, A., Rhoden, A., Willis, P., Yingst, R. A., Craft, K., Cameron, M. E., Nordheim, T., Pitesky, J., Scully, J., Hofgartner, J., Sell, S. W., Barltrop, K. J., Izraelevitz, J., Brandon, E. J., Seong, J., Jones, J.-P., Pasalic, J., Billings, K. J., Ruiz, J. P., Bugga, R. V., Graham, D., Arenas, L. A., Takeyama, D., Drummond, M., Aghazarian, H., Andersen, A. J., Andersen, K. B., Anderson, E. W., Babuscia, A., Backes, P. G., Bailey, E. S., Balentine, D., Ballard, C. G., Berisford, D. F., Bhandari, P., Blackwood, K., Bolotin, G. S., Bovre, E. A., Bowkett, J., Boykins, K. T., Bramble, M. S., Brice, T. M., Briggs, P., Brinkman, A. P., Brooks, S. M., Buffington, B. B., Burns, B., Cable, M. L., Campagnola, S., Cangahuala, L. A., Carr, G. A., Casani, J. R., Chahat, N. E., Chamberlain-Simon, B. K., Cheng, Y., Chien, S. A., Cook, B. T., Cooper, M., DiNicola, M., Clement, B., Dean, Z., Cullimore, E. A., Curtis, A. G., Croix, J-P. de la, Pasquale, P. Di, Dodd, E. M., Dubord, L. A., Edlund, J. A., Ellyin, R., Emanuel, B., Foster, J. T., Ganino, A. J., Garner, G. J., Gibson, M. T., Gildner, M., Glazebrook, K. J., Greco, M. E., Green, W. M., Hatch, S. J., Hetzel, M. M., Hoey, W. A., Hofmann, A. E., Ionasescu, R., Jain, A., Jasper, J. D., Johannesen, J. R., Johnson, G. K., Jun, I., Katake, A. B., Kim-Castet, S. Y., Kim, D. I., Kim, W., Klonicki, E. F., Kobeissi, B., Kobie, B. D., Kochocki, J., Kokorowski, M., Kosberg, J. A., Kriechbaum, K., Kulkarni, T. P., Lam, R. L., Landau, D. F., Lattimore, M. A., Laubach, S. L., Lawler, C. R., Lim, G., Lin, J. Y., Litwin, T. E., Lo, M. W., Logan, C. A., Maghasoudi, E., Mandrake, L., Marchetti, Y., Marteau, E., Maxwell, K. A., Namee, J. B. Mc, Mcintyre, O., Meacham, M., Melko, J. P., Mueller, J., Muliere, D. A., Mysore, A., Nash, J., Ono, H., Parker, J. M., Perkins, R. C., Petropoulos, A. E., Gaut, A., Gomez, M. Y. Piette, Casillas, R. P., Preudhomme, M., Pyrzak, G., Rapinchuk, J., Ratliff, J. M., Ray, T. L., Roberts, E. T., Roffo, K., Roth, D. C., Russino, J. A., Schmidt, T. M., Schoppers, M. J., Senent, J. S., Serricchio, F., Sheldon, D. J., Shiraishi, L. R., Shirvanian, J., Siegel, K. J., Singh, G., Sirota, A. R., Skulsky, E. D., Stehly, J. S., Strange, N. J., Stevens, S. U., Sunada, E. T., Tepsuporn, S. P., Tosi, L. P. C., Trawny, N., Uchenik, I., Verma, V., Volpe, R. A., Wagner, C. T., Wang, D., Willson, R. G., Wolff, J. L., Wong, A. T., Zimmer, A. K., Sukhatme, K. G., Bago, K. A., Chen, Y., Deardorff, A. M., Kuch, R. S., Lim, C., Syvertson, M. L., Arakaki, G. A., Avila, A., DeBruin, K. J., Frick, A., Harris, J. R., Heverly, M. C., Kawata, J. M., Kim, S.-K., Kipp, D. M., Murphy, J., Smith, M. W., Spaulding, M. D., Thakker, R., Warner, N. Z., Yahnker, C. R., Young, M. E., Magner, T., Adams, D., Bedini, P., Mehr, L., Sheldon, C., Vernon, S., Bailey, V., Briere, M., Butler, M., Davis, A., Ensor, S., Gannon, M., Haapala-Chalk, A., Hartka, T., Holdridge, M., Hong, A., Hunt, J., Iskow, J., Kahler, F., Murray, K., Napolillo, D., Norkus, M., Pfisterer, R., Porter, J., Roth, D., Schwartz, P., Wolfarth, L., Cardiff, E. H., Davis, A., Grob, E. W., Adam, J. R., Betts, E., Norwood, J., Heller, M. M., Voskuilen, T., Sakievich, P., Gray, L., Hansen, D. J., Irick, K. W., Hewson, J. C., Lamb, J., Stacy, S. C., Brotherton, C. M., Tappan, A. S., Benally, D., Thigpen, H., Ortiz, E., Sandoval, D., Ison, A. M., Warren, M., Stromberg, P. G., Thelen, P. M., Blasy, B., Nandy, P., Haddad, A. W., Trujillo, L. B., Wiseley, T. H., Bell, S. A., Teske, N. P., Post, C., Torres-Castro, L., Grosso, C. Wasiolek, M. Science goals and mission architecture of the Europa Lander mission concept. The Planetary Science Journal, 3(1), (2022): 22, https://doi.org/10.3847/psj/ac4493.
    Description: Europa is a premier target for advancing both planetary science and astrobiology, as well as for opening a new window into the burgeoning field of comparative oceanography. The potentially habitable subsurface ocean of Europa may harbor life, and the globally young and comparatively thin ice shell of Europa may contain biosignatures that are readily accessible to a surface lander. Europa's icy shell also offers the opportunity to study tectonics and geologic cycles across a range of mechanisms and compositions. Here we detail the goals and mission architecture of the Europa Lander mission concept, as developed from 2015 through 2020. The science was developed by the 2016 Europa Lander Science Definition Team (SDT), and the mission architecture was developed by the preproject engineering team, in close collaboration with the SDT. In 2017 and 2018, the mission concept passed its mission concept review and delta-mission concept review, respectively. Since that time, the preproject has been advancing the technologies, and developing the hardware and software, needed to retire risks associated with technology, science, cost, and schedule.
    Description: K.P.H., C.B.P., E.M., and all authors affiliated with the Jet Propulsion Laboratory carried out this research at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration (grant No. 80NM0018D0004). J.I.L. was the David Baltimore Distinguished Visiting Scientist during the preparation of the SDT report. JPL/Caltech2021.
    Keywords: Europa ; Ocean planets ; Astrobiology ; Biosignatures
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 4
    Publication Date: 2022-10-17
    Description: In this paper we coupled a crop growth model to the Weather Research and Forecasting model with its land surface model Noah‐MP and demonstrated the influence of the weather driven crop growth on land‐atmosphere (L‐A) feedback. An impact study was performed at the convection permitting scale of 3 km over Germany. While the leaf area index (LAI) in the control simulation was the same for all cropland grid cells, the inclusion of the crop growth model resulted in heterogeneous crop development with higher LAI and stronger seasonality. For the analyses of L‐A coupling, a two‐legged metric was applied based on soil moisture, latent heat flux and convective available potential energy. Weak atmospheric coupling is enhanced by the crop model, the terrestrial coupling determines the regions with the L‐A feedback. The inclusion of the crop model turns regions with no L‐A feedback on this path into regions with strong positive coupling. The number of non‐atmospherically controlled days between April and August is increased by 10–15 days in more than 50% of Germany. Our work shows that this impact results in a reduction of both cold bias and warm biases and thus improves the metrics of distributed added value of the monthly mean temperatures. The study confirms that the simulation of the weather driven annual phenological development of croplands for the regional climate simulations in mid‐latitudes is crucial due to the L‐A feedback processes and the currently observed and expected future change in phenological phases.
    Description: Key Points: Coupling a crop growth model with the Weather and Research Forecasting model significantly improves the simulation of the leaf area index. Land‐atmosphere coupling strength is enhanced by weather dependent crop growth simulation. The distributed added value metric shows a reduction in temperature biases of up to 80% in croplands throughout the season in Germany.
    Description: Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659
    Description: https://opendata.dwd.de/climate_environment/CDC/grids_germany/daily/Project_TRY/air_temperature_mean/
    Description: https://doi.org/10.5281/zenodo.6501984
    Description: http://land.copernicus.eu/pan-european/corine-land-cover/clc-2006/view
    Description: https://doi.org/10.1594/WDCC/WRF_NOAH_HWSD_world_TOP_SOILTYP
    Keywords: ddc:551.6
    Language: English
    Type: doc-type:article
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  • 5
    Publication Date: 2022-10-04
    Description: Elastic properties of B2‐Fe0.67Ni0.06Si0.27 (15 wt.% Si) alloy have been investigated by combined high‐resolution inelastic X‐ray scattering and powder X‐ray diffraction in diamond anvil cells up to 100 GPa at room temperature. Densities (ρ), compressional (VP) and shear (VS) wave velocities were extrapolated to inner core conditions to enable comparison with the preliminary reference Earth model. The modeled aggregate compressional and shear wave velocities and densities of the two‐phase mixture of B2‐Fe0.67Ni0.06Si0.27 and hcp‐Fe‐Ni are consistent with inner core PREM values of VP, VS, and ρ based on a linear mixing model with 30(5) vol % B2‐Fe0.67Ni0.06Si0.27 and 70(5) vol % hcp Fe‐Ni, which corresponds to ∼3–5 wt.% Si and ∼5–12 wt.% Ni.
    Description: Plain Language Summary: The composition of the inner core holds key information about how Earth evolved and how current processes such as the geomagnetic field work. Because the core cannot be directly sampled, our best estimates of its composition are based on the comparison of geophysical data with laboratory measurements of candidate materials. Decades of study have shown the inner core to be composed mainly of iron (with a minor amount of nickel) alloyed with one or more light elements, such as silicon. However, the effect of Si on the geophysical properties of Fe‐Ni alloys is not well established. In this study, we performed laboratory experiments to determine the density and sound velocity of Fe‐Ni‐Si alloy under extreme pressure conditions. We compared our results with seismological determinations and found that Earth's inner core can be accounted for by a mechanical mixture of cubic Fe‐Ni‐Si and hexagonal Fe‐Ni alloys. This mixture has a bulk composition of ∼3–5 weight % Si and ∼5–12 weight % Ni and is consistent with geophysical constraints.
    Description: Key Points: Sound velocities and densities of B2‐Fe‐Ni‐Si alloy are determined at high pressure, up to 100 GPa, using inelastic X‐ray scattering and X‐ray diffraction. Seismologically observed compressional and shear wave velocities and density of Earth's inner core can be accounted for by a two‐phase mixture of 30 vol % B2‐Fe‐Ni‐Si and 70 vol % hcp Fe‐Ni alloys. Extrapolated results at inner core boundary conditions are consistent with an inner core composition containing ∼3–5 wt.% Si and ∼5–12 wt.% Ni.
    Description: Japan Society for the Promotion of Science http://dx.doi.org/10.13039/501100001691
    Description: Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659
    Description: JSPS Japanese‐German graduate externship
    Description: https://doi.org/10.6084/m9.figshare.13370795.v1
    Description: https://doi.org/10.6084/m9.figshare.13370792.v1
    Keywords: ddc:551.112
    Language: English
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  • 6
    Publication Date: 2022-08-05
    Description: This work documents the ICON‐Earth System Model (ICON‐ESM V1.0), the first coupled model based on the ICON (ICOsahedral Non‐hydrostatic) framework with its unstructured, icosahedral grid concept. The ICON‐A atmosphere uses a nonhydrostatic dynamical core and the ocean model ICON‐O builds on the same ICON infrastructure, but applies the Boussinesq and hydrostatic approximation and includes a sea‐ice model. The ICON‐Land module provides a new framework for the modeling of land processes and the terrestrial carbon cycle. The oceanic carbon cycle and biogeochemistry are represented by the Hamburg Ocean Carbon Cycle module. We describe the tuning and spin‐up of a base‐line version at a resolution typical for models participating in the Coupled Model Intercomparison Project (CMIP). The performance of ICON‐ESM is assessed by means of a set of standard CMIP6 simulations. Achievements are well‐balanced top‐of‐atmosphere radiation, stable key climate quantities in the control simulation, and a good representation of the historical surface temperature evolution. The model has overall biases, which are comparable to those of other CMIP models, but ICON‐ESM performs less well than its predecessor, the Max Planck Institute Earth System Model. Problematic biases are diagnosed in ICON‐ESM in the vertical cloud distribution and the mean zonal wind field. In the ocean, sub‐surface temperature and salinity biases are of concern as is a too strong seasonal cycle of the sea‐ice cover in both hemispheres. ICON‐ESM V1.0 serves as a basis for further developments that will take advantage of ICON‐specific properties such as spatially varying resolution, and configurations at very high resolution.
    Description: Plain Language Summary: ICON‐ESM is a completely new coupled climate and earth system model that applies novel design principles and numerical techniques. The atmosphere model applies a non‐hydrostatic dynamical core, both atmosphere and ocean models apply unstructured meshes, and the model is adapted for high‐performance computing systems. This article describes how the component models for atmosphere, land, and ocean are coupled together and how we achieve a stable climate by setting certain tuning parameters and performing sensitivity experiments. We evaluate the performance of our new model by running a set of experiments under pre‐industrial and historical climate conditions as well as a set of idealized greenhouse‐gas‐increase experiments. These experiments were designed by the Coupled Model Intercomparison Project (CMIP) and allow us to compare the results to those from other CMIP models and the predecessor of our model, the Max Planck Institute for Meteorology Earth System Model. While we diagnose overall satisfactory performance, we find that ICON‐ESM features somewhat larger biases in several quantities compared to its predecessor at comparable grid resolution. We emphasize that the present configuration serves as a basis from where future development steps will open up new perspectives in earth system modeling.
    Description: Key Points: This work documents ICON‐ESM 1.0, the first version of a coupled model based on the ICON framework. Performance of ICON‐ESM is assessed by means of CMIP6 Diagnosis, Evaluation, and Characterization of Klima experiments at standard CMIP‐type resolution. ICON‐ESM reproduces the observed temperature evolution. Biases in clouds, winds, sea‐ice, and ocean properties are larger than in MPI‐ESM.
    Description: European Union H2020 ESM2025
    Description: European Union H2020 COMFORT
    Description: European Union H2020ESiWACE2
    Description: Deutsche Forschungsgemeinschaft TRR181
    Description: Deutsche Forschungsgemeinschaft EXC 2037
    Description: European Union H2020
    Description: Deutscher Wetterdienst
    Description: Bundesministerium fuer Bildung und Forschung
    Description: http://esgf-data.dkrz.de/search/cmip6-dkrz/
    Description: https://mpimet.mpg.de/en/science/modeling-with-icon/code-availability
    Description: http://cera-www.dkrz.de/WDCC/ui/Compact.jsp?acronym=RUBY-0_ICON-_ESM_V1.0_Model
    Keywords: ddc:550.285 ; ddc:551.63
    Language: English
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  • 7
    Publication Date: 1948-09-01
    Print ISSN: 0003-021X
    Electronic ISSN: 1558-9331
    Topics: Chemistry and Pharmacology , Process Engineering, Biotechnology, Nutrition Technology
    Published by Wiley
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  • 8
    Publication Date: 1947-09-01
    Print ISSN: 0003-021X
    Electronic ISSN: 1558-9331
    Topics: Chemistry and Pharmacology , Process Engineering, Biotechnology, Nutrition Technology
    Published by Wiley
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  • 9
    Publication Date: 2022-03-22
    Description: Records of chemical impurities from ice cores enable us to reconstruct the past deposition of aerosols onto polar ice sheets and alpine glaciers. Through this they allow us to gain insight into changes of the source, transport and deposition processes that ultimately determine the deposition flux at the coring location. However, the low concentrations of the aerosol species in the ice and the resulting high risk of contamination pose a formidable analytical challenge, especially if long, continuous and highly resolved records are needed. Continuous flow analysis, CFA, the continuous melting, decontamination and analysis of ice-core samples has mostly overcome this issue and has quickly become the de facto standard to obtain high-resolution aerosol records from ice cores after its inception at the University of Bern in the mid-1990s. Here, we present continuous records of calcium (Ca2+), sodium (Na+), ammonium (NH4+), nitrate (NO3-) and electrolytic conductivity at 1 mm depth resolution from the NGRIP (North Greenland Ice Core Project) and NEEM (North Greenland Eemian Ice Drilling) ice cores produced by the Bern Continuous Flow Analysis group in the years 2000 to 2011 (Erhardt et al., 2021). Both of the records were previously used in a number of studies but were never published in full 1 mm resolution. Alongside the 1 mm datasets we provide decadal averages, a detailed description of the methods, relevant references, an assessment of the quality of the data and its usable resolution. Along the way we will also give some historical context on the development of the Bern CFA system. The data is available in full 1 mm and 10-year-averaged resolution on PANGAEA (https://doi.org/10.1594/PANGAEA.935838, Erhardt et al., 2021)
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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  • 10
    Publication Date: 2022-10-26
    Description: Author Posting. © American Geophysical Union, 2020. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution. The definitive version was published in Reviews of Geophysics 58(3), (2020): e2019RG000672, doi:10.1029/2019RG000672.
    Description: Global sea level provides an important indicator of the state of the warming climate, but changes in regional sea level are most relevant for coastal communities around the world. With improvements to the sea‐level observing system, the knowledge of regional sea‐level change has advanced dramatically in recent years. Satellite measurements coupled with in situ observations have allowed for comprehensive study and improved understanding of the diverse set of drivers that lead to variations in sea level in space and time. Despite the advances, gaps in the understanding of contemporary sea‐level change remain and inhibit the ability to predict how the relevant processes may lead to future change. These gaps arise in part due to the complexity of the linkages between the drivers of sea‐level change. Here we review the individual processes which lead to sea‐level change and then describe how they combine and vary regionally. The intent of the paper is to provide an overview of the current state of understanding of the processes that cause regional sea‐level change and to identify and discuss limitations and uncertainty in our understanding of these processes. Areas where the lack of understanding or gaps in knowledge inhibit the ability to provide the needed information for comprehensive planning efforts are of particular focus. Finally, a goal of this paper is to highlight the role of the expanded sea‐level observation network—particularly as related to satellite observations—in the improved scientific understanding of the contributors to regional sea‐level change.
    Description: The research was carried out in part at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. The authors acknowledge support from the National Aeronautics and Space Administration under Grants 80NSSC17K0565, 80NSSC170567, 80NSSC17K0566, 80NSSC17K0564, and NNX17AB27G. A. A. acknowledges support under GRACE/GRACEFO Science Team Grant (NNH15ZDA001N‐GRACE). T. W. acknowledges support by the National Aeronautics and Space Administration (NASA) under the New (Early Career) Investigator Program in Earth Science (Grant: 80NSSC18K0743). C. G. P was supported by the J. Lamar Worzel Assistant Scientist Fund and the Penzance Endowed Fund in Support of Assistant Scientists at the Woods Hole Oceanographic Institution.
    Keywords: Sea level ; Satellite observations ; Remote sensing
    Repository Name: Woods Hole Open Access Server
    Type: Article
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