Climate Models: an Assessment of Strengths and Limitations
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Climate Change and Human Health: Risks and Responses
Climate change and human health RISKS AND RESPONSES Editors A.J. McMichael The Australian National University, Canberra, Australia D.H. Campbell-Lendrum London School of Hygiene and Tropical Medicine, London, United Kingdom C.F. Corvalán World Health Organization, Geneva, Switzerland K.L. Ebi World Health Organization Regional Office for Europe, European Centre for Environment and Health, Rome, Italy A.K. Githeko Kenya Medical Research Institute, Kisumu, Kenya J.D. Scheraga US Environmental Protection Agency, Washington, DC, USA A. Woodward University of Otago, Wellington, New Zealand WORLD HEALTH ORGANIZATION GENEVA 2003 WHO Library Cataloguing-in-Publication Data Climate change and human health : risks and responses / editors : A. J. McMichael . [et al.] 1.Climate 2.Greenhouse effect 3.Natural disasters 4.Disease transmission 5.Ultraviolet rays—adverse effects 6.Risk assessment I.McMichael, Anthony J. ISBN 92 4 156248 X (NLM classification: WA 30) ©World Health Organization 2003 All rights reserved. Publications of the World Health Organization can be obtained from Marketing and Dis- semination, World Health Organization, 20 Avenue Appia, 1211 Geneva 27, Switzerland (tel: +41 22 791 2476; fax: +41 22 791 4857; email: [email protected]). Requests for permission to reproduce or translate WHO publications—whether for sale or for noncommercial distribution—should be addressed to Publications, at the above address (fax: +41 22 791 4806; email: [email protected]). The designations employed and the presentation of the material in this publication do not imply the expression of any opinion whatsoever on the part of the World Health Organization concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. -
Climate Models and Their Evaluation
8 Climate Models and Their Evaluation Coordinating Lead Authors: David A. Randall (USA), Richard A. Wood (UK) Lead Authors: Sandrine Bony (France), Robert Colman (Australia), Thierry Fichefet (Belgium), John Fyfe (Canada), Vladimir Kattsov (Russian Federation), Andrew Pitman (Australia), Jagadish Shukla (USA), Jayaraman Srinivasan (India), Ronald J. Stouffer (USA), Akimasa Sumi (Japan), Karl E. Taylor (USA) Contributing Authors: K. AchutaRao (USA), R. Allan (UK), A. Berger (Belgium), H. Blatter (Switzerland), C. Bonfi ls (USA, France), A. Boone (France, USA), C. Bretherton (USA), A. Broccoli (USA), V. Brovkin (Germany, Russian Federation), W. Cai (Australia), M. Claussen (Germany), P. Dirmeyer (USA), C. Doutriaux (USA, France), H. Drange (Norway), J.-L. Dufresne (France), S. Emori (Japan), P. Forster (UK), A. Frei (USA), A. Ganopolski (Germany), P. Gent (USA), P. Gleckler (USA), H. Goosse (Belgium), R. Graham (UK), J.M. Gregory (UK), R. Gudgel (USA), A. Hall (USA), S. Hallegatte (USA, France), H. Hasumi (Japan), A. Henderson-Sellers (Switzerland), H. Hendon (Australia), K. Hodges (UK), M. Holland (USA), A.A.M. Holtslag (Netherlands), E. Hunke (USA), P. Huybrechts (Belgium), W. Ingram (UK), F. Joos (Switzerland), B. Kirtman (USA), S. Klein (USA), R. Koster (USA), P. Kushner (Canada), J. Lanzante (USA), M. Latif (Germany), N.-C. Lau (USA), M. Meinshausen (Germany), A. Monahan (Canada), J.M. Murphy (UK), T. Osborn (UK), T. Pavlova (Russian Federationi), V. Petoukhov (Germany), T. Phillips (USA), S. Power (Australia), S. Rahmstorf (Germany), S.C.B. Raper (UK), H. Renssen (Netherlands), D. Rind (USA), M. Roberts (UK), A. Rosati (USA), C. Schär (Switzerland), A. Schmittner (USA, Germany), J. Scinocca (Canada), D. Seidov (USA), A.G. -
Off-Line Algorithm for Calculation of Vertical Tracer Transport in The
EGU Journal Logos (RGB) Open Access Open Access Open Access Advances in Annales Nonlinear Processes Geosciences Geophysicae in Geophysics Open Access Open Access Natural Hazards Natural Hazards and Earth System and Earth System Sciences Sciences Discussions Open Access Open Access Atmos. Chem. Phys., 13, 1093–1114, 2013 Atmospheric Atmospheric www.atmos-chem-phys.net/13/1093/2013/ doi:10.5194/acp-13-1093-2013 Chemistry Chemistry © Author(s) 2013. CC Attribution 3.0 License. and Physics and Physics Discussions Open Access Open Access Atmospheric Atmospheric Measurement Measurement Techniques Techniques Off-line algorithm for calculation of vertical tracer transport in the Discussions Open Access troposphere due to deep convection Open Access Biogeosciences 1,2 1 3,4,5 6 7 8 Biogeosciences9 10 D. A. Belikov , S. Maksyutov , M. Krol , A. Fraser , M. Rigby , H. Bian , A. Agusti-Panareda , D. Bergmann , Discussions P. Bousquet11, P. Cameron-Smith10, M. P. Chipperfield12, A. Fortems-Cheiney11, E. Gloor12, K. Haynes13,14, P. Hess15, S. Houweling3,4, S. R. Kawa8, R. M. Law14, Z. Loh14, L. Meng16, P. I. Palmer6, P. K. Patra17, R. G. Prinn18, R. Saito17, 12 Open Access and C. Wilson Open Access 1Center for Global Environmental Research, National Institute for Environmental Studies, 16-2 Onogawa,Climate Tsukuba, Ibaraki, Climate 305-8506, Japan of the Past 2 of the Past Division for Polar Research, National Institute of Polar Research, 10-3, Midoricho, Tachikawa, Tokyo 190-8518, Japan Discussions 3SRON Netherlands Institute for Space Research, Sorbonnelaan -
Verification of a Multimodel Storm Surge Ensemble Around New York City and Long Island for the Cool Season
922 WEATHERANDFORECASTING V OLUME 26 Verification of a Multimodel Storm Surge Ensemble around New York City and Long Island for the Cool Season TOM DI LIBERTO * AND BRIAN A. C OLLE School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, New York NICKITAS GEORGAS AND ALAN F. B LUMBERG Stevens Institute of Technology, Hoboken, New Jersey ARTHUR A. T AYLOR Meteorological Development Laboratory, NOAA/NWS, Office of Science and Technology, Silver Spring, Maryland (Manuscript received 21 November 2010, in final form 27 June 2011) ABSTRACT Three real-time storm surge forecasting systems [the eight-member Stony Brook ensemble (SBSS), the Stevens Institute of Technology’s New York Harbor Observing and Prediction System (SIT-NYHOPS), and the NOAA Extratropical Storm Surge (NOAA-ET) model] are verified for 74 available days during the 2007–08 and 2008–09 cool seasons for five stations around the New York City–Long Island region. For the raw storm surge forecasts, the SIT-NYHOPS model has the lowest root-mean-square errors (RMSEs) on average, while the NOAA-ET has the largest RMSEs after hour 24 as a result of a relatively large negative surge bias. The SIT-NYHOPS and SBSS also have a slight negative surge bias after hour 24. Many of the underpredicted surges in the SBSS ensemble are associated with large waves at an offshore buoy, thus illustrating the potential importance of nearshore wave breaking (radiation stresses) on the surge pre- dictions. A bias correction using the last 5 days of predictions (BC) removes most of the surge bias in the NOAA-ET model, with the NOAA-ET-BC having a similar level of accuracy as the SIT-NYHOPS-BC for positive surges. -
Seasonal and Diurnal Performance of Daily Forecasts with WRF V3.8.1 Over the United Arab Emirates
Geosci. Model Dev., 14, 1615–1637, 2021 https://doi.org/10.5194/gmd-14-1615-2021 © Author(s) 2021. This work is distributed under the Creative Commons Attribution 4.0 License. Seasonal and diurnal performance of daily forecasts with WRF V3.8.1 over the United Arab Emirates Oliver Branch1, Thomas Schwitalla1, Marouane Temimi2, Ricardo Fonseca3, Narendra Nelli3, Michael Weston3, Josipa Milovac4, and Volker Wulfmeyer1 1Institute of Physics and Meteorology, University of Hohenheim, 70593 Stuttgart, Germany 2Department of Civil, Environmental, and Ocean Engineering (CEOE), Stevens Institute of Technology, New Jersey, USA 3Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates 4Meteorology Group, Instituto de Física de Cantabria, CSIC-University of Cantabria, Santander, Spain Correspondence: Oliver Branch ([email protected]) Received: 19 June 2020 – Discussion started: 1 September 2020 Revised: 10 February 2021 – Accepted: 11 February 2021 – Published: 19 March 2021 Abstract. Effective numerical weather forecasting is vital in T2 m bias and UV10 m bias, which may indicate issues in sim- arid regions like the United Arab Emirates (UAE) where ex- ulation of the daytime sea breeze. TD2 m biases tend to be treme events like heat waves, flash floods, and dust storms are more independent. severe. Hence, accurate forecasting of quantities like surface Studies such as these are vital for accurate assessment of temperatures and humidity is very important. To date, there WRF nowcasting performance and to identify model defi- have been few seasonal-to-annual scale verification studies ciencies. By combining sensitivity tests, process, and obser- with WRF at high spatial and temporal resolution. vational studies with seasonal verification, we can further im- This study employs a convection-permitting scale (2.7 km prove forecasting systems for the UAE. -
Cumulus Microphysics and Climate Sensitivity
2376 JOURNAL OF CLIMATE VOLUME 18 Cumulus Microphysics and Climate Sensitivity ANTHONY D. DEL GENIO NASA Goddard Institute for Space Studies, New York, New York WILLIAM KOVARI Center for Climate Systems Research, Columbia University, New York, New York MAO-SUNG YAO SGT, Inc., Institute for Space Studies, New York, New York JEFFREY JONAS Center for Climate Systems Research, Columbia University, New York, New York (Manuscript received 24 May 2004, in final form 15 October 2004) ABSTRACT Precipitation processes in convective storms are potentially a major regulator of cloud feedback. An unresolved issue is how the partitioning of convective condensate between precipitation-size particles that fall out of updrafts and smaller particles that are detrained to form anvil clouds will change as the climate warms. Tropical Rainfall Measuring Mission (TRMM) observations of tropical oceanic convective storms indicate higher precipitation efficiency at warmer sea surface temperature (SST) but also suggest that cumulus anvil sizes, albedos, and ice water paths become insensitive to warming at high temperatures. International Satellite Cloud Climatology Project (ISCCP) data show that instantaneous cirrus and deep convective cloud fractions are positively correlated and increase with SST except at the highest tempera- tures, but are sensitive to variations in large-scale vertical velocity. A simple conceptual model based on a Marshall–Palmer drop size distribution, empirical terminal velocity–particle size relationships, and assumed cumulus updraft speeds reproduces the observed tendency for detrained condensate to approach a limiting value at high SST. These results suggest that the climatic behavior of observed tropical convective clouds is intermediate between the extremes required to support the thermostat and adaptive iris hypotheses. -
Developing and Applying Scenarios
3 Developing and Applying Scenarios TIMOTHY R. CARTER (FINLAND) AND EMILIO L. LA ROVERE (BRAZIL) Lead Authors: R.N. Jones (Australia), R. Leemans (The Netherlands), L.O. Mearns (USA), N. Nakicenovic (Austria), A.B. Pittock (Australia), S.M. Semenov (Russian Federation), J. Skea (UK) Contributing Authors: S. Gromov (Russian Federation), A.J. Jordan (UK), S.R. Khan (Pakistan), A. Koukhta (Russian Federation), I. Lorenzoni (UK), M. Posch (The Netherlands), A.V. Tsyban (Russian Federation), A. Velichko (Russian Federation), N. Zeng (USA) Review Editors: Shreekant Gupta (India) and M. Hulme (UK) CONTENTS Executive Summary 14 7 3. 6 . Sea-Level Rise Scenarios 17 0 3. 6 . 1 . Pu r p o s e 17 0 3. 1 . Definitions and Role of Scenarios 14 9 3. 6 . 2 . Baseline Conditions 17 0 3. 1 . 1 . In t r o d u c t i o n 14 9 3. 6 . 3 . Global Average Sea-Level Rise 17 0 3. 1 . 2 . Function of Scenarios in 3. 6 . 4 . Regional Sea-Level Rise 17 0 Impact and Adaptation As s e s s m e n t 14 9 3. 6 . 5 . Scenarios that Incorporate Var i a b i l i t y 17 1 3. 1 . 3 . Approaches to Scenario Development 3. 6 . 6 . Application of Scenarios 17 1 and Ap p l i c a t i o n 15 0 3. 1 . 4 . What Changes are being Considered? 15 0 3. 7 . Re p r esenting Interactions in Scenarios and Ensuring Consistency 17 1 3. 2 . Socioeconomic Scenarios 15 1 3. -
Climate Change: Addressing the Major Skeptic Arguments
Climate Change: Addressing the Major Skeptic Arguments September 2010 Whitepaper available online: http://www.dbcca.com/research Carbon Counter widget available for download at: www.Know-The-Number.com Research Team Authors Mary-Elena Carr, Ph.D. Kate Brash Associate Director Assistant Director Columbia Climate Center, Earth Institute Columbia Climate Center, Earth Institute Columbia University Columbia University Robert F. Anderson, Ph.D. Ewing-Lamont Research Professor Lamont-Doherty Earth Observatory Columbia University DB Climate Change Advisors – Climate Change Investment Research Mark Fulton Bruce M. Kahn, Ph.D. Managing Director Director Global Head of Climate Change Investment Research Senior Investment Analyst Nils Mellquist Emily Soong Vice President Associate Senior Research Analyst Jake Baker Lucy Cotter Associate Research Analyst 2 Climate Change: Addressing the Major Skeptic Arguments Editorial Mark Fulton Global Head of Climate Change Investment Research Addressing the Climate Change Skeptics The purpose of this paper is to examine the many claims and counter-claims being made in the public debate about climate change science. For most of this year, the volume of this debate has turned way up as the ‘skeptics’ launched a determined assault on the climate findings accepted by the overwhelming majority of the scientific community. Unfortunately, the increased noise has only made it harder for people to untangle the arguments and form their own opinions. This is problematic because the way the public’s views are shaped is critical to future political action on climate change. For investors in particular, the implications are huge. While there are many arguments in favor of clean energy, water and sustainable agriculture – for instance, energy security, economic growth, and job opportunities – we at DB Climate Change Advisors (DBCCA) have always said that the science is one essential foundation of the whole climate change investment thesis. -
Ocean Circulation Models and Modeling
2512-5 Fundamentals of Ocean Climate Modelling at Global and Regional Scales (Hyderabad - India) 5 - 14 August 2013 Ocean Circulation Models and Modeling GRIFFIES Stephen Princeton University U.S. Department of Commerce N.O.A.A., Geophysical Fluid Dynamics Laboratory, 201 Forrestal Road, Forrestal Campus P.O. Box 308, 08542-6649 Princeton NJ U.S.A. 5.1: Ocean Circulation Models and Modeling Stephen.Griffi[email protected] NOAA/Geophysical Fluid Dynamics Laboratory Princeton, USA [email protected] Laboratoire de Physique des Oceans,´ LPO Brest, France Draft from May 24, 2013 1 5.1.1. Scope of this chapter 2 We focus in this chapter on numerical models used to understand and predict large- 3 scale ocean circulation, such as the circulation comprising basin and global scales. It 4 is organized according to two themes, which we consider the “pillars” of numerical 5 oceanography. The first addresses physical and numerical topics forming a foundation 6 for ocean models. We focus here on the science of ocean models, in which we ask 7 questions about fundamental processes and develop the mathematical equations for 8 ocean thermo-hydrodynamics. We also touch upon various methods used to represent 9 the continuum ocean fluid with a discrete computer model, raising such topics as the 10 finite volume formulation of the ocean equations; the choice for vertical coordinate; 11 the complementary issues related to horizontal gridding; and the pervasive questions 12 of subgrid scale parameterizations. The second theme of this chapter concerns the 13 applications of ocean models, in particular how to design an experiment and how to 14 analyze results. -
A Review of Climate Change Scenarios and Preliminary Rainfall Trend Analysis in the Oum Er Rbia Basin, Morocco
WORKING PAPER 110 A Review of Climate Drought Series: Paper 8 Change Scenarios and Preliminary Rainfall Trend Analysis in the Oum Er Rbia Basin, Morocco Anne Chaponniere and Vladimir Smakhtin Postal Address P O Box 2075 Colombo Sri Lanka Location 127, Sunil Mawatha Pelawatta Battaramulla Sri Lanka Telephone +94-11 2787404 Fax +94-11 2786854 E-mail [email protected] Website http://www.iwmi.org SM International International Water Management IWMI isaFuture Harvest Center Water Management Institute supportedby the CGIAR ISBN: 92-9090-635-9 Institute ISBN: 978-92-9090-635-9 Working Paper 110 Drought Series: Paper 8 A Review of Climate Change Scenarios and Preliminary Rainfall Trend Analysis in the Oum Er Rbia Basin, Morocco Anne Chaponniere and Vladimir Smakhtin International Water Management Institute IWMI receives its principal funding from 58 governments, private foundations and international and regional organizations known as the Consultative Group on International Agricultural Research (CGIAR). Support is also given by the Governments of Ghana, Pakistan, South Africa, Sri Lanka and Thailand. The authors: Anne Chaponniere is a Post Doctoral Fellow in Hydrology and Water Resources at IWMI Sub-regional office for West Africa (Accra, Ghana). Vladimir Smakhtin is a Principal Hydrologist at IWMI Headquarters in Colombo, Sri Lanka. Acknowledgments: The study was supported from IWMI core funds. The paper was reviewed by Dr Hugh Turral (IWMI, Colombo). Chaponniere, A.; Smakhtin, V. 2006. A review of climate change scenarios and preliminary rainfall trend analysis in the Oum er Rbia Basin, Morocco. Working Paper 110 (Drought Series: Paper 8) Colombo, Sri Lanka: International Water Management Institute (IWMI). -
Description and Evaluation of the Model for Ozone and Related Chemical Tracers, Version 4 (MOZART-4)
Geosci. Model Dev., 3, 43–67, 2010 www.geosci-model-dev.net/3/43/2010/ Geoscientific © Author(s) 2010. This work is distributed under Model Development the Creative Commons Attribution 3.0 License. Description and evaluation of the Model for Ozone and Related chemical Tracers, version 4 (MOZART-4) L. K. Emmons1, S. Walters1, P. G. Hess1,*, J.-F. Lamarque1, G. G. Pfister1, D. Fillmore1,**, C. Granier2,3, A. Guenther1, D. Kinnison1, T. Laepple1,***, J. Orlando1, X. Tie1, G. Tyndall1, C. Wiedinmyer1, S. L. Baughcum4, and S. Kloster5,* 1National Center for Atmospheric Research, Boulder, CO, USA 2Centre National de la Recherche Scientifique, Paris, France 3NOAA, Earth System Research Laboratory, Boulder, CO, USA 4Boeing Company, Seattle, WA, USA 5Max-Planck-Institute for Meteorology, Hamburg, Germany *now at: Department of Biological and Environmental Engineering, Cornell University, Ithaca, NY, USA **now at: Tech-X Corporation, Boulder, CO, USA ***now at: Alfred Wegener Institute for Polar and Marine Research, Bremerhaven, Germany Received: 6 August 2009 – Published in Geosci. Model Dev. Discuss.: 27 August 2009 Revised: 7 December 2009 – Accepted: 8 December 2009 – Published: 12 January 2010 Abstract. The Model for Ozone and Related chemical Tra- teorological observations. MOZART is built on the frame- cers, version 4 (MOZART-4) is an offline global chemical work of the Model of Atmospheric Transport and Chemistry transport model particularly suited for studies of the tropo- (MATCH) (Rasch et al., 1997). Convective mass fluxes are sphere. The updates of the model from its previous version diagnosed by the model, using the shallow and mid-level MOZART-2 are described, including an expansion of the convective transport formulation of Hack (1994) and deep chemical mechanism to include more detailed hydrocarbon convection scheme of Zhang and MacFarlane (1995). -
A Numerical Case Study of Upper Boundary Condition in MM5 Over
A CASE STUDY OF THE IMPACT OF THE UPPER BOUNDARY CONDITION IN POLAR MM5 SIMULATIONS OVER ANTARCTICA Helin Wei1, David H. Bromwich1, 2 , Le-Sheng Bai1, Ying-Hwa Kuo3, and Tae Kwon Wee3 1Polar Meteorology Group, Byrd Polar Research Center, The Ohio State University 2Atmospheric Sciences Program, Department of Geography, The Ohio State University 3MMM Division, National Center for Atmospheric Research, Boulder, Colorado 1. Introduction generally applied numerical models because the 1In limited area modeling, the upper boundary vertical wavenumber and frequency of the radiated condition was not addressed extensively until waves must be specified. Second, it also requires nonhydrostatic models became widely available a relatively deep model domain so that the vertical for numerical weather prediction. Ideally, the radiation of gravity wave energy is of secondary boundary condition should be imposed in such importance at the model top, otherwise the way that makes the flow behave as if the spurious momentum flux is not negligible (Klemp boundaries were not there. and Durran, 1983). In the past, the rigid lid upper boundary Another prominent scheme is the absorbing condition was utilized because it purportedly upper boundary condition. It is designed to damp eliminated rapidly moving external gravity waves out the vertically propogating waves within an from the solutions, thereby permitting longer time upper boundary buffer zone before they reach the dp top boundary by using smoothing, filtering or some steps. This condition requires ω = = 0 at the other approach, such as adding frictional terms to dt model momentum equations. model top. The effectiveness of this approach has Previous studies show that the radiation and been demonstrated when the model top is set far absorbing upper boundary conditions reduce the above from the region of interest or the advective wave reflection to a great extent, however little effects are dominant in comparison to the vertical work has been done to investigate how they propogation of internal gravity wave energy.