Biogeochemical and Biophysical Responses of the Land Surface to a Sustained Thermohaline Circulation Weakening
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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. -
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15 NOVEMBER 2006 A R O R A A N D B O E R 5875 The Temporal Variability of Soil Moisture and Surface Hydrological Quantities in a Climate Model VIVEK K. ARORA AND GEORGE J. BOER Canadian Centre for Climate Modelling and Analysis, Meteorological Service of Canada, University of Victoria, Victoria, British Columbia, Canada (Manuscript received 4 October 2005, in final form 8 February 2006) ABSTRACT The variance budget of land surface hydrological quantities is analyzed in the second Atmospheric Model Intercomparison Project (AMIP2) simulation made with the Canadian Centre for Climate Modelling and Analysis (CCCma) third-generation general circulation model (AGCM3). The land surface parameteriza- tion in this model is the comparatively sophisticated Canadian Land Surface Scheme (CLASS). Second- order statistics, namely variances and covariances, are evaluated, and simulated variances are compared with observationally based estimates. The soil moisture variance is related to second-order statistics of surface hydrological quantities. The persistence time scale of soil moisture anomalies is also evaluated. Model values of precipitation and evapotranspiration variability compare reasonably well with observa- tionally based and reanalysis estimates. Soil moisture variability is compared with that simulated by the Variable Infiltration Capacity-2 Layer (VIC-2L) hydrological model driven with observed meteorological data. An equation is developed linking the variances and covariances of precipitation, evapotranspiration, and runoff to soil moisture variance via a transfer function. The transfer function is connected to soil moisture persistence in terms of lagged autocorrelation. Soil moisture persistence time scales are shorter in the Tropics and longer at high latitudes as is consistent with the relationship between soil moisture persis- tence and the latitudinal structure of potential evaporation found in earlier studies. -
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. -
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). -
Improving Representations of Boundary Layer Processes
1 2 3 4 5 6 Regional climate modeling over the Maritime Continent: Improving 7 representations of boundary layer processes 8 9 Rebecca L. Gianotti* and Elfatih A. B. Eltahir 10 11 Ralph M. Parsons Laboratory, Massachusetts Institute of Technology, 12 15 Vassar St, Cambridge MA 02139, USA 13 14 15 16 17 18 19 20 ELTAHIR Research Group Report #3, 21 March, 2014 1 Abstract 2 This paper describes work to improve the representation of boundary layer processes 3 within a regional climate model (Regional Climate Model Version 3 (RegCM3) coupled to 4 the Integrated Biosphere Simulator (IBIS)) applied over the Maritime Continent. In 5 particular, modifications were made to improve model representations of the mixed 6 boundary layer height and non-convective cloud cover within the mixed boundary layer. 7 Model output is compared to a variety of ground-based and satellite-derived observational 8 data, including a new dataset obtained from radiosonde measurements taken at Changi 9 airport, Singapore, four times per day. These data were commissioned specifically for this 10 project and were not part of the airport’s routine data collection. It is shown that the 11 modifications made to RegCM3-IBIS significantly improve representations of the mixed 12 boundary layer height and low-level cloud cover over the Maritime Continent region by 13 lowering the simulated nocturnal boundary layer height and removing erroneous cloud 14 within the mixed boundary layer over land. The results also show some improvement with 15 respect to simulated radiation and rainfall, compared to the default version of the model. -
Global Climate Models and Their Limitations Anthony Lupo (USA) William Kininmonth (Australia) Contributing: J
1 Global Climate Models and Their Limitations Anthony Lupo (USA) William Kininmonth (Australia) Contributing: J. Scott Armstrong (USA), Kesten Green (Australia) 1. Global Climate Models and Their Limitations Key Findings Introduction 1.1 Model Simulation and Forecasting 1.2 Modeling Techniques 1.3 Elements of Climate 1.4 Large Scale Phenomena and Teleconnections Key Findings Confidence in a model is further based on the The IPCC places great confidence in the ability of careful evaluation of its performance, in which model general circulation models (GCMs) to simulate future output is compared against actual observations. A climate and attribute observed climate change to large portion of this chapter, therefore, is devoted to anthropogenic emissions of greenhouse gases. They the evaluation of climate models against real-world claim the “development of climate models has climate and other biospheric data. That evaluation, resulted in more realism in the representation of many summarized in the findings of numerous peer- quantities and aspects of the climate system,” adding, reviewed scientific papers described in the different “it is extremely likely that human activities have subsections of this chapter, reveals the IPCC is caused more than half of the observed increase in overestimating the ability of current state-of-the-art global average surface temperature since the 1950s” GCMs to accurately simulate both past and future (p. 9 and 10 of the Summary for Policy Makers, climate. The IPCC’s stated confidence in the models, Second Order Draft of AR5, dated October 5, 2012). as presented at the beginning of this chapter, is likely This chapter begins with a brief review of the exaggerated. -
Assimila Blank
NERC NERC Strategy for Earth System Modelling: Technical Support Audit Report Version 1.1 December 2009 Contact Details Dr Zofia Stott Assimila Ltd 1 Earley Gate The University of Reading Reading, RG6 6AT Tel: +44 (0)118 966 0554 Mobile: +44 (0)7932 565822 email: [email protected] NERC STRATEGY FOR ESM – AUDIT REPORT VERSION1.1, DECEMBER 2009 Contents 1. BACKGROUND ....................................................................................................................... 4 1.1 Introduction .............................................................................................................. 4 1.2 Context .................................................................................................................... 4 1.3 Scope of the ESM audit ............................................................................................ 4 1.4 Methodology ............................................................................................................ 5 2. Scene setting ........................................................................................................................... 7 2.1 NERC Strategy......................................................................................................... 7 2.2 Definition of Earth system modelling ........................................................................ 8 2.3 Broad categories of activities supported by NERC ................................................. 10 2.4 Structure of the report ........................................................................................... -
Climate Change Scenario Report
2020 CLIMATE CHANGE SCENARIO REPORT WWW.SUSTAINABILITY.FORD.COM FORD’S CLIMATE CHANGE PRODUCTS, OPERATIONS: CLIMATE SCENARIO SERVICES AND FORD FACILITIES PUBLIC 2 Climate Change Scenario Report 2020 STRATEGY PLANNING TRUST EXPERIENCES AND SUPPLIERS POLICY CONCLUSION ABOUT THIS REPORT In conjunction with our annual sustainability report, this Climate Change CONTENTS Scenario Report is intended to provide stakeholders with our perspective 3 Ford’s Climate Strategy on the risks and opportunities around climate change and our transition to a low-carbon economy. It addresses details of Ford’s vision of the low-carbon 5 Climate Change Scenario Planning future, as well as strategies that will be important in managing climate risk. 11 Business Strategy for a Changing World This is Ford’s second climate change scenario report. In this report we use 12 Trust the scenarios previously developed, while further discussing how we use scenario analysis and its relation to our carbon reduction goals. Based on 13 Products, Services and Experiences stakeholder feedback, we have included physical risk analysis, additional 16 Operations: Ford Facilities detail on our electrification plan, and policy engagement. and Suppliers 19 Public Policy This report is intended to supplement our first report, as well as our Sustainability Report, and does not attempt to cover the same ground. 20 Conclusion A summary of the scenarios is in this report for the reader’s convenience. An explanation of how they were developed, and additional strategies Ford is using to address climate change can be found in our first report. SUSTAINABLE DEVELOPMENT GOALS Through our climate change scenario planning we are contributing to SDG 6 Clean water and sanitation, SDG 7 Affordable and clean energy, SDG 9 Industry, innovation and infrastructure and SDG 13 Climate action. -
Terrestrial Biosphere Carbon Storage Under Alternative Climate Projections
TERRESTRIAL BIOSPHERE CARBON STORAGE UNDER ALTERNATIVE CLIMATE PROJECTIONS SIBYLL SCHAPHOFF1, WOLFGANG LUCHT1, DIETER GERTEN1, STEPHEN SITCH1, WOLFGANG CRAMER1 and I. COLIN PRENTICE2 1Potsdam Institute for Climate Impact Research, P.O. Box 601203, D-14412 Potsdam, Germany E-mail: [email protected] 2QUEST, Department of Earth Sciences, University of Bristol, Wills Memorial Building, Bristol BS8 1RJ, UK Abstract. This study investigates commonalities and differences in projected land biosphere carbon storage among climate change projections derived from one emission scenario by five different gen- eral circulation models (GCMs). Carbon storage is studied using a global biogeochemical process model of vegetation and soil that includes dynamic treatment of changes in vegetation composition, a recently enhanced version of the Lund-Potsdam-Jena Dynamic Global Vegetation Model (LPJ- DGVM). Uncertainty in future terrestrial carbon storage due to differences in the climate projections is large. Changes by the end of the century range from −106 to +201 PgC, thus, even the sign of the response whether source or sink, is uncertain. Three out of five climate projections produce a land carbon source by the year 2100, one is approximately neutral and one a sink. A regional breakdown shows some robust qualitative features. Large areas of the boreal forest are shown as a future CO2 source, while a sink appears in the arctic. The sign of the response in tropical and sub-tropical ecosys- tems differs among models, due to the large variations in simulated precipitation patterns. The largest uncertainty is in the response of tropical rainforests of South America and Central Africa. 1. Introduction The land biosphere plays a substantial role in the global carbon cycle. -
Climate Scenario Development
13 Climate Scenario Development Co-ordinating Lead Authors L.O. Mearns, M. Hulme Lead Authors T.R. Carter, R. Leemans, M. Lal, P. Whetton Contributing Authors L. Hay, R.N. Jones, R. Katz, T. Kittel, J. Smith, R. Wilby Review Editors L.J. Mata, J. Zillman Contents Executive Summary 741 13.4.1.3 Applications of the methods to impacts 752 13.1 Introduction 743 13.4.2 Temporal Variability 752 13.1.1 Definition and Nature of Scenarios 743 13.4.2.1 Incorporation of changes in 13.1.2 Climate Scenario Needs of the Impacts variability: daily to interannual Community 744 time-scales 752 13.4.2.2 Other techniques for incorporating 13.2 Types of Scenarios of Future Climate 745 extremes into climate scenarios 754 13.2.1 Incremental Scenarios for Sensitivity Studies 746 13.5 Representing Uncertainty in Climate Scenarios 755 13.2.2 Analogue Scenarios 748 13.5.1 Key Uncertainties in Climate Scenarios 755 13.2.2.1 Spatial analogues 748 13.5.1.1 Specifying alternative emissions 13.2.2.2 Temporal analogues 748 futures 755 13.2.3 Scenarios Based on Outputs from Climate 13.5.1.2 Uncertainties in converting Models 748 emissions to concentrations 755 13.2.3.1 Scenarios from General 13.5.1.3 Uncertainties in converting Circulation Models 748 concentrations to radiative forcing 755 13.2.3.2 Scenarios from simple climate 13.5.1.4 Uncertainties in modelling the models 749 climate response to a given forcing 755 13.2.4 Other Types of Scenarios 749 13.5.1.5 Uncertainties in converting model response into inputs for impact 13.3 Defining the Baseline 749 studies 756 -
Climate Research 60:103
Vol. 60: 103–117, 2014 CLIMATE RESEARCH Published online June 17 doi: 10.3354/cr01222 Clim Res Ranking of global climate models for India using multicriterion analysis K. Srinivasa Raju1, D. Nagesh Kumar2,3,* 1Department of Civil Engineering, Birla Institute of Technology and Science-Pilani, Hyderabad campus, India 2Center for Earth Sciences, Indian Institute of Science, 560012 Bangalore, India 3Present address: Department of Civil Engineering, Indian Institute of Science, 560012 Bangalore, India ABSTRACT: Eleven GCMs (BCCR-BCCM2.0, INGV-ECHAM4, GFDL2.0, GFDL2.1, GISS, IPSL- CM4, MIROC3, MRI-CGCM2, NCAR-PCMI, UKMO-HADCM3 and UKMO-HADGEM1) were evaluated for India (covering 73 grid points of 2.5° × 2.5°) for the climate variable ‘precipitation rate’ using 5 performance indicators. Performance indicators used were the correlation coefficient, normalised root mean square error, absolute normalised mean bias error, average absolute rela- tive error and skill score. We used a nested bias correction methodology to remove the systematic biases in GCM simulations. The Entropy method was employed to obtain weights of these 5 indi- cators. Ranks of the 11 GCMs were obtained through a multicriterion decision-making outranking method, PROMETHEE-2 (Preference Ranking Organisation Method of Enrichment Evaluation). An equal weight scenario (assigning 0.2 weight for each indicator) was also used to rank the GCMs. An effort was also made to rank GCMs for 4 river basins (Godavari, Krishna, Mahanadi and Cauvery) in peninsular India. The upper Malaprabha catchment in Karnataka, India, was chosen to demonstrate the Entropy and PROMETHEE-2 methods. The Spearman rank correlation coefficient was employed to assess the association between the ranking patterns.