543 research outputs found
A balance sheet of life.
No full textThe memoirs were written 1998 in London. The author describes the Rothenberg family's history going back to the late 18th century. Helmut Rothenberg's great-grandfather Emil Rothenberg was born 1853 in Goettingen. His mother died three years later, and Emil was brought up with relatives. In 1879 Emil Rothenberg married Fanny Karpf, whose ancestors came from southern Germany. Emil and Fanny lived in Nuernberg and had seven children. Their oldest son Isaak, the author's father, was born in 1880. He became a senior manager at the brass works of Aron Hirsch & Son in Halberstadt. In 1914 Isaak Rothenberg married Dora Moses, who came from a large orthodox family. Isaak and Dora Rothenberg had two sons; Helmut, born in 1915, was the oldest. His brother Karl-Heinz was born in 1917. In 1920 the family moved to Frankfurt, where Isaak Rothenberg joined a manufacturing business. Memories of the Rhineland occupation by French troops and the time of inflation after World War I. Helmut attended "Musterschule", a school based on Johann Pestalozzi's principles of education. School trip to London in 1930. Private piano lessons and growing interest in music. Rising Nazism. Helmut Rothenberg graduated in 1933, shortly after Hitler had become chancellor of Germany. A few months later he left Frankfurt for England. He stayed with friends of his father in Cheshunt, where he started to work as a chartered accountant. Helmut's brother Heinz (Henry) joined him in 1934, as the condition in his school in Frankfurt had become intolerable. Summer vocations with their parents in Suffolk. In 1939 Isaak and Dora Rothenberg were able to emigrate to England - shortly before the outbreak of war with Germany. Henry joined the Pioneer Corps in 1939, while Helmut worked for the War Office. The family moved to London in 1940. Recollection of air raids and situation as enemy aliens.Helmut Rothenberg started his own business in 1945, and shortly thereafter he married his fiancée Annema Hannes. In 1946 their son John Daniel was born. Description of his professional accomplishments. Memories of colleagues and friends. Their second son Robert Michael was born in 1950.Helmut Rothenberg was born in 1915 in Halberstadt, Germany. He emigrated to England in March 1933, where he started work as a chartered accountant. His brother Henry joined him in 1934. Their parents Isaak and Dora Rothenberg managed to emigrate to England shortly before the outbreak of war with Germany in 1939. In 1945 Helmut married Annema Hannes, a former medical student and Jewish émigré from Breslau. They had three children together and two children from Annema's previous marriage.Synopsis in fileChildhoodIn 1959 Judith Kay was born. Their children and grandchildren live in London, Israel and New York
Sampling data accompanying "An aerosol activation metamodel of v1.2.0 of the pyrcel cloud parcel model: Development and offline assessment for use in an aerosol-climate model"
No full text<p>Datasets recording sampling results, accompanying the manuscript <em>An aerosol activation metamodel of v1.2.0 of the pyrcel cloud parcel model: Development and offline assessment for use in an aerosol-climate model, </em>Rothenberg, D. and Wang, C., submitted, GMD. Please see the included README for more details.</p>
Alpha and Omega, from Seneca Journal
No full text10 x 15 cm.Postcard of poem 'Alpha and Omega' by Jerome Rothenberg, with letter by author to David Meltzer on back, ca. 1974. 10 x 15 cm
The Anthology as a Manifesto & as an Epic Including Poetry, or the Gradual Making of Poems for the Millennium
No full textThe author discusses the making of the anthology, Poems for the Millennium, or of “the
anthology as an epic poem and/or a manifesto.” Both Jerome Rothenberg and Pierre Joris
were able to show too —if it needed showing— that multiculturalism and avantgardism
were not incompatible but historically, though not inevitably, related.El autor analiza la construcción de la antología, Poems for the Millennium, o su considera-
ción “de la antología como poema épico y/o manifiesto”. Los editores de esta antología,
Jerome Rothenberg y Pierre Joris supieron mostrar —por si ello fuese necesario— que el
multiculturalismo y el vanguardismo no eran incompatibles sino que estaban, aunque no
de manera inevitable, históricamente relacionados
Metamodeling of Droplet Activation for Global Climate Models
No full textThe nucleation of cloud droplets from the ambient aerosol is a critical physical process that must be resolved for global models to faithfully predict aerosol–cloud interactions and aerosol indirect effects on climate. To better represent droplet nucleation from a complex, multimodal, and multicomponent aerosol population within the context of a global model, a new metamodeling framework is applied to derive an efficient and accurate activation parameterization. The framework applies polynomial chaos expansion to a detailed parcel model in order to derive an emulator that maps thermodynamic and aerosol parameters to the supersaturation maximum achieved in an adiabatically ascending parcel and can be used to diagnose droplet number from a single lognormal aerosol mode. The emulator requires much less computational time to build, store, and evaluate than a high-dimensional lookup table. Compared to large sample sets from the detailed parcel model, the relative error in the predicted supersaturation maximum and activated droplet number computed with the best emulator is -0.6% ± 9.9% and 0.8% ± 17.8% (one standard deviation), respectively. On average, the emulators constructed here are as accurate and between 10 and 17 times faster than a leading physically based activation parameterization. Because the underlying parcel model being emulated resolves size-dependent droplet growth factors, the emulator captures kinetic limitations on activation. The results discussed in this work suggest that this metamodeling framework can be extended to accurately account for the detailed activation of a complex aerosol population in an arbitrary coupled global aerosol–climate model.National Science Foundation (U.S.) (grant 1122374)National Science Foundation (U.S.) (AGS-1339264)United States. Department of Energy. Office of Science (DE-FG02-94ER61937
An aerosol activation metamodel of v1.2.0 of the pyrcel cloud parcel model: development and offline assessment for use in an aerosol–climate model
No full textWe describe an emulator of a detailed cloud parcel model which has been trained to assess droplet nucleation from a complex, multimodal aerosol size distribution simulated by a global aerosol-climate model. The emulator is constructed using a sensitivity analysis approach (polynomial chaos expansion) which reproduces the behavior of the targeted parcel model across the full range of aerosol properties and meteorology simulated by the parent climate model. An iterative technique using aerosol fields sampled from a global model is used to identify the critical aerosol size distribution parameters necessary for accurately predicting activation. Across the large parameter space used to train them, the emulators estimate cloud droplet number concentration (CDNC) with a mean relative error of 9.2% for aerosol populations without giant cloud condensation nuclei (CCN) and 6.9% when including them. Versus a parcel model driven by those same aerosol fields, the best-performing emulator has a mean relative error of 4.6%, which is comparable with two commonly used activation schemes also evaluated here (which have mean relative errors of 2.9 and 6.7%, respectively). We identify the potential for regional biases in modeled CDNC, particularly in oceanic regimes, where our best-performing emulator tends to overpredict by 7%, whereas the reference activation schemes range in mean relative error from-3 to 7%. The emulators which include the effects of giant CCN are more accurate in continental regimes (mean relative error of 0.3%) but strongly overestimate CDNC in oceanic regimes by up to 22%, particularly in the Southern Ocean. The biases in CDNC resulting from the subjective choice of activation scheme could potentially influence the magnitude of the indirect effect diagnosed from the model incorporating it.National Science Foundation (U.S.) (Grant 1122374)National Science Foundation (U.S.) (Grant AGS-1339264)United States. Department of Energy (Grant DE-FG02-94ER61937
MARC - Model for Research of Aerosols and Climate
No full text<p><strong>Model for Research of Aerosols and Climate</strong></p>
<p>MARC is a an aerosol modeling component designed to be run online with the Community Earth System Model v1.2. </p>
<p>The repository archiving development of this model can be found at https://github.mit.edu/marc/marc_cesm. Please contact the maintainer (Daniel Rothenberg <[email protected]>) with questions, comments, or feedback.</p>This release implements basic transient emissions functionality. For more information, see the relevant wiki page (https://github.mit.edu/marc/marc_cesm/wiki/MARC-Emissions)
parcel_model: Modernization and updates for Python 2/3 compatibility
No full text<p>This release denotes an overhaul of the model documentation and modernization of its codebase, instigated on the release of <a href="http://journals.ametsoc.org/doi/abs/10.1175/JAS-D-15-0223.1">Rothenberg and Wang (2016)</a>. The scientific description of the model in that article is still accurate and is reflected in this release of the code, but the model has been processed to update documentation where out-of-date and to enable compatibility between Python 2 and Python 3.</p>
parcel_model: Moving-grid Parcel Model for Aerosol Activation
No full text<p>This milestone denotes the final development of the original moving-grid parcel model intended for aerosol activation studies. It has a module of activation parameterizations which can be compared against the parcel model, and has all the features necessary to do idealized activation experiments. Furthermore, it is nearly identical to the version used to generate the activation scheme of Rothenberg and Wang (2015, <em>in prep</em>) (the only changes relate to IO facilities and some superficial changes to make the model simpler to run).</p>
<p>Further refinements and bugfixes to this scheme will issued on the branch <a href="https://github.com/darothen/parcel_model/tree/moving_grid">moving_grid</a>. However, future development on the parcel will deviate sharply form this formulation in order to introduce more sophisticated microphysics.</p>
Volcano impacts on climate and biogeochemistry in a coupled carbon–climate model
No full textVolcanic eruptions induce a dynamical response in the climate system characterized by short-term global reductions in both surface temperature and precipitation, as well as a response in biogeochemistry. The available observations of these responses to volcanic eruptions, such as to Pinatubo, provide a valuable method to compare against model simulations. Here, the Community Climate System Model Version 3 (CCSM3) reproduces the physical climate response to volcanic eruptions in a realistic way, as compared to direct observations from the 1991 eruption of Mount Pinatubo. The model's biogeochemical response to eruptions is smaller in magnitude than observed, but because of the lack of observations, it is not clear why or where the modeled carbon response is not strong enough. Comparison to other models suggests that this model response is much weaker over tropical land; however, the precipitation response in other models is not accurate, suggesting that other models could be getting the right response for the wrong reason. The underestimated carbon response in the model compared to observations could also be due to the ash and lava input of biogeochemically important species to the ocean, which are not included in the simulation. A statistically significant reduction in the simulated carbon dioxide growth rate is seen at the 90% level in the average of 12 large eruptions over the period 1870–2000, and the net uptake of carbon is primarily concentrated in the tropics, with large spatial variability. In addition, a method for computing the volcanic response in model output without using a control ensemble is tested against a traditional methodology using two separate ensembles of runs; the method is found to produce similar results in the global average. These results suggest that not only is simulating volcanoes a good test of coupled carbon–climate models, but also that this test can be performed without a control simulation in cases where it is not practical to run separate ensembles with and without volcanic eruptions.NASA Astrobiology Institute (NNGO6G127G)National Science Foundation (U.S.) (Grant 1049033)National Science Foundation (U.S.) (Grant 1021614
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