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Climate Change 2001 : The scientific basis ; contribution of Working Group I to the third assessment report of the Intergovernmental Panel on Climate Change (2001)

Houghton, John T. [Hrsg.] ; Ding, Y. ; Griggs, D.J. ; [et al.]

Cambridge : Cambridge University Press

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Call number: 12/M 01.0453 ; AWI A3-01-0215 ; PIK N 071-01-0481 ; PIK N 071-0115 ; PIK N 071-02-0351 ; PIK N 071-01-0564

In: Climate change 2001

Type of Medium: Monograph available for loan

Pages: X, 881 S.

Edition: 1st publ.

ISBN: 0521014956

Classification:

Meteorology and Climatology

Language: English

Note: Contents: Foreword. - Preface. - Summary for Policymakers. - Technical Summary. - 1 The Climate System: an Overview. - 2 Observed Climate Variability and Change. - 3 The Carbon Cycle and Atmospheric Carbon Dioxide. - 4 Atmospheric Chemistry and Greenhouse Gases. - 5 Aerosols, their Direct and Indirect Effects. - 6 Radiative Forcing of Climate Change. - 7 Physical Climate Processes and Feedbacks. - 8 Model Evaluation. - 9 Projections of Future Climate Change. - 10 Regional Climate Information - Evaluation and Projections. - 11 Changes in Sea Level. - 12 Detection of Climate Change and Attribution of Causes. - 13 Climate Scenario Development. - 14 Advancing Our Understanding. - Appendix I Glossary. - Appendix II SRES Tables. - Appendix Ill Contributors to the IPCC WGI Third Assessment Report. - Appendix IV Reviewers of the IPCC WGI Third Assessment Report. - Appendix V Acronyms and Abbreviations. - Appendix VI Units. - Appendix VII Some Chemical Symbols used in this Report. - Appendix VIII Index.

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Location: A 18 - must be ordered

Branch Library: GFZ Library

Branch Library: AWI Library

Branch Library: PIK Library

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Simulations of the Indian summer monsoon using a nested regional climate model: domain size experiments (1996)

Bhaskaran, B. ; Jones, R. G. ; Murphy, J. M. ; [et al.]

Springer

Climate dynamics 12 (1996), S. 573-587

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ISSN: 1432-0894

Source: Springer Online Journal Archives 1860-2000

Topics: Geosciences , Physics

Notes: Abstract Seasonal simulations of the Indian summer monsoon using a 50-km regional climate model (RCM) are described. Results from three versions of the RCM distinguished by different domain sizes are compared against those of the driving global general circulation model (AGCM). Precipitation over land is 20% larger in the RCMs due to stronger vertical motions arising from finer horizontal resolution. The resulting increase in condensational heating helps to intensify the monsoon trough relative to the AGCM. The RCM precipitation distributions show a strong orographically forced mesoscale component (similar in each version). This component is not present in the AGCM. The RCMs produce two qualitatively realistic intraseasonal oscillations (ISOs) associated respectively with monsoon depressions which propagate northwestward from the Bay of Bengal and repeated northward migrations of the regional tropical convergence zone. The RCM simulations are relatively insensitive to domain size in several respects: (1) the mean bias relative to the AGCM is similar for all three domains; (2) the variability simulated by the RCM is strongly correlated with that of the driving AGCM on both daily and seasonal time scales, even for the largest domain; (3) the mesoscale features and ISOs are not damped by the relative proximity of the lateral boundaries in the version with the smallest domain. Results (1) and (2) contrast strongly with a previous study for Europe carried out with the same model, probably due to inherent differences between mid-latitude and tropical dynamics.

Type of Medium: Electronic Resource

URL: http://dx.doi.org/10.1007/BF00216267

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Electronic Resource

Simulations of the Indian summer monsoon using a nested regional climate model: domain size experiments (1996)

Bhaskaran, B. ; Jones, R. G. ; Murphy, J. M. ; [et al.]

Springer

Climate dynamics 12 (1996), S. 573-587

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Details

ISSN: 1432-0894

Source: Springer Online Journal Archives 1860-2000

Topics: Geosciences , Physics

Notes: Abstract. Seasonal simulations of the Indian summer monsoon using a 50-km regional climate model (RCM) are described. Results from three versions of the RCM distinguished by different domain sizes are compared against those of the driving global general circulation model (AGCM). Precipitation over land is 20% larger in the RCMs due to stronger vertical motions arising from finer horizontal resolution. The resulting increase in condensational heating helps to intensify the monsoon trough relative to the AGCM. The RCM precipitation distributions show a strong orographically forced mesoscale component (similar in each version). This component is not present in the AGCM. The RCMs produce two qualitatively realistic intraseasonal oscillations (ISOs) associated respectively with monsoon depressions which propagate northwestward from the Bay of Bengal and repeated northward migrations of the regional tropical convergence zone. The RCM simulations are relatively insensitive to domain size in several respects: (1) the mean bias relative to the AGCM is similar for all three domains; (2) the variability simulated by the RCM is strongly correlated with that of the driving AGCM on both daily and seasonal time scales, even for the largest domain; (3) the mesoscale features and ISOs are not damped by the relative proximity of the lateral boundaries in the version with the smallest domain. Results (1) and (2) contrast strongly with a previous study for Europe carried out with the same model, probably due to inherent differences between mid-latitude and tropical dynamics.

Type of Medium: Electronic Resource

URL: http://dx.doi.org/10.1007/BF00216267

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Sources of systematic errors in the climatology of a regional climate model over Europe (1998)

Noguer, M. ; Jones, R. ; Murphy, J.

Springer

Climate dynamics 14 (1998), S. 691-712

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ISSN: 1432-0894

Source: Springer Online Journal Archives 1860-2000

Topics: Geosciences , Physics

Notes: Abstract Two ten-year simulations made with a European regional climate model (RCM) are compared. They are driven by the same observed sea surface temperatures but use different lateral boundary forcing. For one simulation, RCM AMIP, this forcing is obtained from a standard integration of a global general circulation model (GCM AMIP), whereas for the other simulation, RCM ASSIM, it is derived from a time series of operational analyses. The archive of analysis fields (surface pressure plus winds and temperatures on various pressure levels) is not sufficiently comprehensive to provide directly the full set of driving fields required for the RCM (in particular, no moisture fields are present), so these are obtained via a GCM integration, GCM ASSIM, in which the model is continuously relaxed towards the analysis fields using a data assimilation technique. Errors in RCM AMIP can arise either from the internal RCM physics or from errors in the lateral boundary forcing inherited from GCM AMIP. Errors in RCM ASSIM can arise from the internal RCM physics or the boundary moisture forcing but not from the driving circulation. Although previous studies have considered RCM integrations driven either by output from standard GCM integrations or operational analyses, our study is the first to compare parallel integrations of each type. This allows the total systematic error in an RCM integration driven by standard GCM output to be partitioned into components arising from the driving circulation and the internal RCM physics. These components indicate the scope for reducing regional simulation biases by improving either the driving GCM or the RCM itself. The results relate mainly to elements of surface climate likely to be influenced by both the driving circulation and regional physical processes operating in the RCM. For cloud cover, errors are found to arise largely from the internal RCM physics. Values are too low despite a positive relative humidity bias, indicating shortcomings in the parametrisation scheme used to calculate cloud cover. In summer, surface temperature and precipitation errors are also explained principally by regional processes. For example excessive solar heating leads to anomalously high surface temperatures over southern Europe and excessive drying of the soil reduces precipitation in the south eastern sector of the domain. The lateral boundary forcing reduces precipitation in the south eastern sector of the domain. The lateral boundary forcing also exerts some influence, mainly via a tropospheric cold bias which partially offsets the warming over southern Europe and also increases precipitation. In other seasons the lateral boundary forcing and the regional physics both contribute significantly to the errors in surface temperature and precipitation. In winter the boundary forcing (apart from moisture) is responsible for about 60% of the total error variance for temperature and about 40% for precipitation, due to the cold bias and circulation errors such as a southward shift in the storm track. The remaining errors arise from the regional physics, although for precipitation an excessive supply of moisture from the lateral boundaries also contributes. The skill of the mesoscale component of the surface temperature and precipitation distributions exceeds previous estimates, due to more realistic observed climatology. The mesoscale patterns are very similar in the two RCM simulations indicating that errors in the simulation of fine scale detail arise mainly from inadequate representations of local forcings rather than errors in the large-scale circulation. Circulation errors in RCM AMIP (e.g. cold bias, southward shift of storm track) are also present in GCM AMIP, but are largely absent in RCM ASSIM except in summer. This confirms evidence from previous work that the key to reducing most circulation errors in the RCM lies in improving the driving GCM. Regional processes only make a major contribution to circulation errors in summer, when reduced advection from the boundaries allows errors in surface temperature to be transmitted more effectively into the troposphere. Finally, we find evidence of error balances in the GCM which act to minimise biases in important climatological variables. This reflects tuning of the model physics at GCM resolution. In order to achieve simultaneous optimisation of the RCM and GCM at widely differing resolutions it may be necessary to introduce explicit scale dependences into some aspects of the physics.

Type of Medium: Electronic Resource

URL: http://dx.doi.org/10.1007/s003820050249

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