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Your search keyword '"Fläschner, D."' showing total 11 results
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11 results on '"Fläschner, D."'

1. Drivers of Precipitation Change : An Energetic Understanding

Author

Richardson, T. B., Forster, P. M., Andrews, T., Boucher, O., Faluvegi, G., Fläschner, D., Hodnebrog, Ø., Kasoar, M., Kirkevåg, A., Lamarque, J.-F., Myhre, G., Olivié, D., Samset, B. H., Shawki, D., Shindell, D., Takemura, T., and Voulgarakis, A.

Published
2018

3. Sensible Heat Has Significantly Affected the Global Hydrological Cycle Over the Historical Period

Author

Myhre, G, Samset, B. H, Hodnebrog, Ø, Andrews, T, Boucher, O, Faluvegi, G, Fläschner, D, Forster, P.M, Kasoar, M, Kharin, V, Kirkevåg, A, Lamarque, J.-F, Olivie, D, Richardson, T.B, Shawki, D, Shindell, D, Shine, K.P, Stjern, C.W, Takemura, T, and Voulgarakis, A

Subjects
Meteorology And Climatology
Abstract

Globally, latent heating associated with a change in precipitation is balanced by changes to atmospheric radiative cooling and sensible heat fluxes. Both components can be altered by climate forcing mechanisms and through climate feedbacks, but the impacts of climate forcing and feedbacks on sensible heat fluxes have received much less attention. Here we show, using a range of climate modelling results, that changes in sensible heat are the dominant contributor to the present global-mean precipitation change since preindustrial time, because the radiative impact of forcings and feedbacks approximately compensate. The model results show a dissimilar influence on sensible heat and precipitation from various drivers of climate change. Due to its strong atmospheric absorption, black carbon is found to influence the sensible heat very differently compared to other aerosols and greenhouse gases. Our results indicate that this is likely caused by differences in the impact on the lower tropospheric stability.

Published
2018
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5. Efficacy of Climate Forcings in PDRMIP Models

Author

Richardson, T. B., primary, Forster, P. M., additional, Smith, C. J., additional, Maycock, A. C., additional, Wood, T., additional, Andrews, T., additional, Boucher, O., additional, Faluvegi, G., additional, Fläschner, D., additional, Hodnebrog, Ø., additional, Kasoar, M., additional, Kirkevåg, A., additional, Lamarque, J.‐F., additional, Mülmenstädt, J., additional, Myhre, G., additional, Olivié, D., additional, Portmann, R. W., additional, Samset, B. H., additional, Shawki, D., additional, Shindell, D., additional, Stier, P., additional, Takemura, T., additional, Voulgarakis, A., additional, and Watson‐Parris, D., additional

Published
2019
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6. Carbon Dioxide Physiological Forcing Dominates Projected Eastern Amazonian Drying

Author

Richardson, TB, Forster, PM, Andrews, T, Boucher, O, Faluvegi, G, Fläschner, D, Kasoar, M, Kirkevåg, A, Lamarque, J-F, Myhre, G, Olivié, D, Samset, BH, Shawki, D, Shindell, D, Takemura, T, and Voulgarakis, A

Subjects
Science & Technology, CLIMATE-CHANGE, PRECIPITATION CHANGE, CIRCULATION, food and beverages, Geology, DROUGHT SENSITIVITY, UNCERTAINTY, precipitation, HYDROLOGICAL CYCLE, Article, stomatal response, physiological forcing, Physical Sciences, MD Multidisciplinary, fast response, Meteorology & Atmospheric Sciences, CO2, Geosciences, Multidisciplinary, RAINFALL, Amazon, CO2 forcing, SCALE, RESPONSES
Abstract

Future projections of east Amazonian precipitation indicate drying, but they are uncertain and poorly understood. In this study we analyze the Amazonian precipitation response to individual atmospheric forcings using a number of global climate models. Black carbon is found to drive reduced precipitation over the Amazon due to temperature-driven circulation changes, but the magnitude is uncertain. CO2 drives reductions in precipitation concentrated in the east, mainly due to a robustly negative, but highly variable in magnitude, fast response. We find that the physiological effect of CO2 on plant stomata is the dominant driver of the fast response due to reduced latent heating and also contributes to the large model spread. Using a simple model, we show that CO2 physiological effects dominate future multimodel mean precipitation projections over the Amazon. However, in individual models temperature-driven changes can be large, but due to little agreement, they largely cancel out in the model mean. ©2018. The Authors.

Published
2018

7. Understanding Rapid Adjustments to Diverse Forcing Agents

Author

Smith, C. J., primary, Kramer, R. J., additional, Myhre, G., additional, Forster, P. M., additional, Soden, B. J., additional, Andrews, T., additional, Boucher, O., additional, Faluvegi, G., additional, Fläschner, D., additional, Hodnebrog, Ø., additional, Kasoar, M., additional, Kharin, V., additional, Kirkevåg, A., additional, Lamarque, J.‐F., additional, Mülmenstädt, J., additional, Olivié, D., additional, Richardson, T., additional, Samset, B. H., additional, Shindell, D., additional, Stier, P., additional, Takemura, T., additional, Voulgarakis, A., additional, and Watson‐Parris, D., additional

Published
2018
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8. Quantifying the Importance of Rapid Adjustments for Global Precipitation Changes

Author

Myhre, G., primary, Kramer, R. J., additional, Smith, C. J., additional, Hodnebrog, Ø., additional, Forster, P., additional, Soden, B. J., additional, Samset, B. H., additional, Stjern, C. W., additional, Andrews, T., additional, Boucher, O., additional, Faluvegi, G., additional, Fläschner, D., additional, Kasoar, M., additional, Kirkevåg, A., additional, Lamarque, J.‐F., additional, Olivié, D., additional, Richardson, T., additional, Shindell, D., additional, Stier, P., additional, Takemura, T., additional, Voulgarakis, A., additional, and Watson‐Parris, D., additional

Published
2018
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9. Fast and slow precipitation responses to individual climate forcers: a PDRMIP multi-model study

Author

Samset, B. H., Myhre, G., Forster, P. M., Hodnebrog, Ø., Andrews, T., Faluvegi, G., Fläschner, D., Kasoar, M., Kharin, V., Kirkevåg, A., Lamarque, J.-F., Olivié, D., Richardson, T., Shindell, D., Shine, Keith P., Takemura, T., and Voulgarakis, A.

Subjects
sense organs
Abstract

Precipitation is expected to respond differently to various drivers of anthropogenic climate change. We present the first results from the Precipitation Driver and Response Model Intercomparison Project (PDRMIP), where nine global climate models have perturbed CO2, CH4, black carbon, sulfate, and solar insolation. We divide the resulting changes to global mean and regional precipitation into fast responses that scale with changes in atmospheric absorption and slow responses scaling with surface temperature change. While the overall features are broadly similar between models, we find significant regional intermodel variability, especially over land. Black carbon stands out as a component that may cause significant model diversity in predicted precipitation change. Processes linked to atmospheric absorption are less consistently modeled than those linked to top-of-atmosphere radiative forcing. We identify a number of land regions where the model ensemble consistently predicts that fast precipitation responses to climate perturbations dominate over the slow, temperature-driven responses.

Published
2016

10. Fast and slow precipitation responses to individual climate forcers: A PDRMIP multimodel study

Author

Samset, B. H., primary, Myhre, G., additional, Forster, P. M., additional, Hodnebrog, Ø., additional, Andrews, T., additional, Faluvegi, G., additional, Fläschner, D., additional, Kasoar, M., additional, Kharin, V., additional, Kirkevåg, A., additional, Lamarque, J.‐F., additional, Olivié, D., additional, Richardson, T., additional, Shindell, D., additional, Shine, K. P., additional, Takemura, T., additional, and Voulgarakis, A., additional

Published
2016
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11. Developments in the MPI-M Earth System Model version 1.2 (MPI-ESM1.2) and Its Response to Increasing CO 2 .

Author

Mauritsen T, Bader J, Becker T, Behrens J, Bittner M, Brokopf R, Brovkin V, Claussen M, Crueger T, Esch M, Fast I, Fiedler S, Fläschner D, Gayler V, Giorgetta M, Goll DS, Haak H, Hagemann S, Hedemann C, Hohenegger C, Ilyina T, Jahns T, Jimenéz-de-la-Cuesta D, Jungclaus J, Kleinen T, Kloster S, Kracher D, Kinne S, Kleberg D, Lasslop G, Kornblueh L, Marotzke J, Matei D, Meraner K, Mikolajewicz U, Modali K, Möbis B, Müller WA, Nabel JEMS, Nam CCW, Notz D, Nyawira SS, Paulsen H, Peters K, Pincus R, Pohlmann H, Pongratz J, Popp M, Raddatz TJ, Rast S, Redler R, Reick CH, Rohrschneider T, Schemann V, Schmidt H, Schnur R, Schulzweida U, Six KD, Stein L, Stemmler I, Stevens B, von Storch JS, Tian F, Voigt A, Vrese P, Wieners KH, Wilkenskjeld S, Winkler A, and Roeckner E

Abstract

A new release of the Max Planck Institute for Meteorology Earth System Model version 1.2 (MPI-ESM1.2) is presented. The development focused on correcting errors in and improving the physical processes representation, as well as improving the computational performance, versatility, and overall user friendliness. In addition to new radiation and aerosol parameterizations of the atmosphere, several relatively large, but partly compensating, coding errors in the model's cloud, convection, and turbulence parameterizations were corrected. The representation of land processes was refined by introducing a multilayer soil hydrology scheme, extending the land biogeochemistry to include the nitrogen cycle, replacing the soil and litter decomposition model and improving the representation of wildfires. The ocean biogeochemistry now represents cyanobacteria prognostically in order to capture the response of nitrogen fixation to changing climate conditions and further includes improved detritus settling and numerous other refinements. As something new, in addition to limiting drift and minimizing certain biases, the instrumental record warming was explicitly taken into account during the tuning process. To this end, a very high climate sensitivity of around 7 K caused by low-level clouds in the tropics as found in an intermediate model version was addressed, as it was not deemed possible to match observed warming otherwise. As a result, the model has a climate sensitivity to a doubling of CO 2 over preindustrial conditions of 2.77 K, maintaining the previously identified highly nonlinear global mean response to increasing CO 2 forcing, which nonetheless can be represented by a simple two-layer model., (©2019. The Authors.)

Published
2019
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