Empfehlungen für die Charakterisierung und Benennung ausgewählter IPCC Klimaszenarien

2021 ◽  
Author(s):  
Frank Kreienkamp ◽  
Barbara Früh ◽  
Sven Kotlarski ◽  
Carsten Linke ◽  
Marc Olefs ◽  
...  
Keyword(s):  
Climate Change ◽  
Coupled Model ◽  
Model Intercomparison ◽  
Intergovernmental Panel ◽  
Representative Concentration Pathways ◽  
Intercomparison Project

<p>Eine zentrale Aufgabe von Klimaforschung und Klimakommunikation ist die Beschreibung möglicher Entwicklungspfade des künftigen Klimas sowie der antreibenden Kräfte. Diese Entwicklungspfade werden Klimaszenarien genannt. Klimaszenarien wiederum basieren auf Szenarien möglicher Entwicklung von Gesellschaft, Technologie und Ressourcennutzung, um daraus die resultierenden Emissionen von Treibhausgasen abzuschätzen. </p> <p>In der Nutzerkommunikation werden die Klimaszenarien des Intergovernmental Panel on Climate Change (IPCC) in der Regel mit prägnanten Namen beschrieben. Im deutschsprachigen Raum wurden in den letzten Jahren jedoch verschiedene Namen für dieselben Klimaszenarien genutzt. Dies führte oft zu Irritationen und Verwechslungen.</p> <p>Um dem entgegenzuwirken hat nun eine Arbeitsgruppe der drei deutschsprachigen Wetterdienste, Bundes- und Landeseinrichtungen und aus der Klimaforschung erstmals eine Empfehlung für eine einheitliche Benennung, Beschreibung und farbliche Kennzeichnung einer Auswahl von Klimaszenarien des IPCC vorgelegt. Dieses betrifft die Szenarien der CMIP6<sup>1</sup>-Generation die aus zwei sich gegenseitig ergänzenden Komponenten bestehen: den Shared Socioeconomic Pathways (SSPs) und den Representative Concentration Pathways (RCPs). Im speziellen hier die Szenarien SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0 und SSP5-8.5. Dieses sind die Szenarien die zum einen von den Modellgruppen für Modellsimulationen genutzt wurden und oder in der politischen Diskussion regelmäßig besprochen werden.</p> <p>Dieser Beitrag stellt die Empfehlungen der Arbeitsgruppe für eine einheitliche Sprach- und Kommunikationsregelung  der fünf derzeit am häufigsten genutzten Klimaszenarien im deutschsprachigen Raum vor.</p> <p><sup>1</sup> CMIP6: Coupled Model Intercomparison Project Phase 6</p>

Nexo: água, Clima, Energia e Meio Ambiente - Uma Perspectiva sobre o Empreendimento de Itataia-CE

2020 ◽  
Vol 35 (3) ◽  
pp. 449-457
Author(s):  
Ilma Ribeiro de Lima ◽  
Cleiton da Silva Silveira ◽  
Francisco das Chagas Vasconcelos Júnior
Keyword(s):  
Climate Change ◽  
Coupled Model ◽  
Model Intercomparison ◽  
Intergovernmental Panel ◽  
Intercomparison Project

Resumo A viabilidade hídrica do Complexo Industrial de exploração e beneficiamento de urânio e fosfato em Santa Quitéria - Ceará foi analisada a partir da relação nexo água, energia e clima. Para tanto, foram usadas projeções de precipitação, evapotranspiração e vazão adotanto os modelos globais do Coupled Model Intercomparison Project Phase 5 (CMIP5, utilizados no quinto relatório do Intergovernmental Panel on Climate Change - IPCC-AR5). Dados da matriz energética do Ceará também foram considerados com o intuito de verificar o aumento da demanda energética do estado e a analisar o impacto da sua produção frente aos recursos hídircos. Os modelos divergem quanto ao futuro das precipitações, mas a maioria assinala um aumento da evapotranspiração nos três períodos projetados (2015 - 2044, 2045 - 2074 e 2075 a 2099) nos dois cenários escolhidos (RCP4.5 e RCP8.5) indicando um possível aumento da demanda hídrica para a região.

scholarly journals Avaliação de Modelos do CMIP5 que Melhor Expressam a Atuação dos Vórtices Ciclônicos em Altos Níveis (VCANS) no Nordeste Brasileiro (NEB) (Evaluation of the CMIP5 Models that Express the Best Performance of Vortice in High Levels (VCANS) in Northeast...)

2015 ◽  
Vol 7 (5) ◽  
pp. 891
Author(s):  
José Ueliton Pinheiro ◽  
Josemir Araújo Neves ◽  
Rosane Rodrigues Chaves ◽  
David Mendes ◽  
Naurinete Costa Barreto
Keyword(s):  
Climate Change ◽  
Mean Square Error ◽  
Coupled Model ◽  
Mean Square ◽  
Model Intercomparison ◽  
Intergovernmental Panel ◽  
Assessment Report ◽  
Atmospheric Research ◽  
Intercomparison Project ◽  
Environmental Prediction

A pesquisa estudou a saída de modelos de mudanças climáticas que melhor expressam a atuação dos Vórtices Ciclônicos em Altos Níveis (VCANs) no Nordeste Brasileiro (NEB). Os VCANs foram quantificados pela sua ocorrência diária durante 5 anos (1995-1999), no período de outubro a março. O objeto de estudo foram 13 modelos do CMIP5/IPCC/AR5 (Coupled Model Intercomparison Project Phase 5/Intergovernmental Panel on Climate Change/Fifth Assessment Report), comparados com os resultados do NCEP/NCAR (National Centers for Environmental Prediction/National Center for Atmospheric Research), por meio de métodos estatísticos para escolha do modelo que melhor indica a presença dos VCANs no NEB. A primeira análise comparativa foi feita através das correlações de Pearson, Kendall e Spearman, Raiz quadrada do erro quadrático médio, Raiz quadrada do erro quadrático médio normalizada e os índices de Eficiência e desempenho, Nash-Sutcliffe (NSE), Kling-Gupta (KGE) e o Índice de Concordância de Willmott (d). Em seguida foram selecionados os modelos de melhor desempenho e com significância estatística para uma análise posterior de acertos e erros através dos índices: Índice de Proporção Correta (PC), Índice de Sucesso Crítico (ISC), Probabilidade de Detecção (POD), Taxa de alarme Falso (TAF) e Taxa de Tendência (VIÉS). Para os testes estatísticos aplicados na primeira avaliação realizada o modelo MIROC4h foi o que apresentou os melhores índices seguido pelo MIROC-ESM e inmCM4, respectivamente. Além destes, ainda apresentaram correlação estatística significante o MPI-ESM-LR,o MRI-CGCM3 e o CSIRO-MK3-6-0. A segunda análise também apresentou o MIROC4h com os melhores valores de PC, ISC e POD, excetuando-se o VIÉS que apresentou o segundo melhor resultado e o TAF com o pior resultado em relação aos outros 5 modelos. Dessa forma o MIROC4h apresentou-se como o mais indicado entre os modelos do CMIP5 para estudos de cenários presentes e futuros de VCANs no NEB.   A B S T R A C T The research studied the output of climate change models that best express the actions of Upper Tropospheric Cyclonic Vortices (UTCV) in high levels in the Northeast Brazil (NEB). The UTCV were quantified by a daily occurrence for 5 years (1995-1999) in the period from October to March. The object of the study were 13 models from CMIP5/IPCC/AR5 (Coupled Model Intercomparison Project Phase 5 / Intergovernmental Panel on Climate Change / Fifth Assessment Report ), compared with results from the NCEP / NCAR (National Centers for Environmental Prediction / National Center for Atmospheric Research) by means of statistical methods for choosing the model which best indicates the presence of UTCV in the NEB. The first comparative analysis was performed using the Pearson, Spearman and Kendall correlations, mean square error, normalized mean square error and efficiency and performance indices, Nash-Sutcliff (NSE), Kling-Gupta (KGE) and Index of Agreement of the Willmott (d). Then models with better performance and statistical significance for further analysis of successes and mistakes through the indices were selected: Index Proportion Correct (PC), Critical Success Index (CSI), Probability of Detection (POD), False Alarm Rate (FAR) and Trend Rate (BIAS). For the statistical analyzes used in the first test performed MIROC4h model showed the best rates followed by MIROC-ESM and inmCM4 respectively. In addition, further significant statistical correlation MPI-ESM-LR, MRI-CGCM3 and CSIRO-MK3-6-0. The second analysis also showed the MIROC4h with the best values ​​of PC, CSI and POD, except the BIAS that had the second best result and the FAR with the worst result in relation to the other five models considered in this phase. Thus the MIROC4h introduced himself as the most suitable model of the CMIP5 for studies of the present and future scenarios of UTCV in the NEB   

scholarly journals Bias-corrected climate projections for South Asia from Coupled Model Intercomparison Project-6

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Vimal Mishra ◽  
Udit Bhatia ◽  
Amar Deep Tiwari
Keyword(s):  
Climate Change ◽  
Impact Assessment ◽  
South Asia ◽  
General Circulation ◽  
Coupled Model ◽  
General Circulation Models ◽  
River Basins ◽  
Climate Projections ◽  
Model Intercomparison ◽  
Intercomparison Project

Abstract Climate change is likely to pose enormous challenges for agriculture, water resources, infrastructure, and livelihood of millions of people living in South Asia. Here, we develop daily bias-corrected data of precipitation, maximum and minimum temperatures at 0.25° spatial resolution for South Asia (India, Pakistan, Bangladesh, Nepal, Bhutan, and Sri Lanka) and 18 river basins located in the Indian sub-continent. The bias-corrected dataset is developed using Empirical Quantile Mapping (EQM) for the historic (1951–2014) and projected (2015–2100) climate for the four scenarios (SSP126, SSP245, SSP370, SSP585) using output from 13 General Circulation Models (GCMs) from Coupled Model Intercomparison Project-6 (CMIP6). The bias-corrected dataset was evaluated against the observations for both mean and extremes of precipitation, maximum and minimum temperatures. Bias corrected projections from 13 CMIP6-GCMs project a warmer (3–5°C) and wetter (13–30%) climate in South Asia in the 21st century. The bias-corrected projections from CMIP6-GCMs can be used for climate change impact assessment in South Asia and hydrologic impact assessment in the sub-continental river basins.

scholarly journals Assessing the impacts of climate variability and climate change on biodiversity in Lake Nakuru, Kenya

2018 ◽  
Vol 8 (1) ◽  
pp. 13-24 ◽  
Author(s):  
MBOTE BETH WAMBUI ◽  
ALFRED OPERE ◽  
JOHN M. GITHAIGA ◽  
FREDRICK K. KARANJA
Keyword(s):  
Climate Change ◽  
Climate Variability ◽  
Surface Area ◽  
Coupled Model ◽  
Baseline Period ◽  
Strong Positive Correlation ◽  
Model Intercomparison ◽  
Lake Nakuru ◽  
Lesser Flamingo ◽  
Intercomparison Project

Wambui MB, Opere A, Githaiga MJ, Karanja FK. 2017. Assessing the impacts of climate variability and climate change on biodiversity in Lake Nakuru, Kenya. Bonorowo Wetlands 1: 13-24. This study evaluates the impacts of the raised water levels and the flooding of Lake Nakuru and its surrounding areas on biodiversity, specifically, the phytoplankton and lesser flamingo communities, due to climate change and climate variability. The study was to review and analyze noticed climatic records from 2000 to 2014. Several methods were used to ascertain the past and current trends of climatic parameters (temperature, rainfall and evaporation), and also the physicochemical characteristics of Lake Nakuru (conductivity, phytoplankton, lesser flamingos and the lake depth). These included time series analysis, and trend analysis, so the Pearson’s correlation analysis was used to show a relationship between the alterations in lake conductivity to alterations in population estimates of the lesser flamingos and the phytoplankton. Data set extracted from the Coupled Model Intercomparison Project Phase 5 (CMIP5) (IPCC Fifth Assessment Report (AR5) Atlas subset) models were subjected to time series analysis method where the future climate scenarios of near surface temperature, rainfall and evaporation were plotted for the period 2017 to 2100 (projection) for RCP2.6 and RCP8.5 relative to the baseline period 1971 to 2000 in Lake Nakuru were analysed. The results were used to evaluate the impact of climate change on the lesser flamingos and phytoplankton abundance. It was noticed that there was a raise in the mean annual rainfall during the study period (2009 to 2014) which brought the increment in the lake’s surface area from a low area of 31.8 km² in January 2010 to a high of 54.7 km² in Sept 2013, indicating an increment of 22.9 km² (71.92% surface area increment). Mean conductivity of the lake also lessened leading to the loss of phytoplankton on which flamingos feed making them to migrate. A strong positive correlation between conductivity and the lesser flamingo population was noticed signifying that low conductivity affects the growth of phytoplankton and since the lesser flamingos depend on the phytoplankton for their feed, this subsequently revealed that the phytoplankton density could be a notable predictor of the lesser flamingo occurrence in Lake Nakuru. There was also a strong positive correlation noticed between phytoplankton and the lesser flamingo population which confirms that feed availability is a key determining factor of the lesser flamingo distribution in the lake. It is projected that there would be an increment in temperatures, rainfall and evaporation for the period 2017 to 2100 under RCP2.6 and RCP8.5 relative to the baseline period 1971 to 2000 obtained from the Coupled Model Intercomparison Project phase 5 (CMIP5) multi-model ensemble. As a result, it is expected that the lake will further increment in surface area and depth by the year 2100 due to increased rainfall thereby affecting the populations of the lesser flamingos and phytoplankton, as the physicochemical factors of the lake will alter as well during the projected period.

scholarly journals Evaluating permafrost physics in the Coupled Model Intercomparison Project 6 (CMIP6) models and their sensitivity to climate change

2020 ◽  
Vol 14 (9) ◽  
pp. 3155-3174 ◽  
Author(s):  
Eleanor J. Burke ◽  
Yu Zhang ◽  
Gerhard Krinner
Keyword(s):  
Climate Change ◽  
Air Temperature ◽  
High Latitude ◽  
Soil Profile ◽  
Coupled Model ◽  
The Arctic ◽  
Model Intercomparison ◽  
Model Ensemble ◽  
Northern High Latitude ◽  
Intercomparison Project

Abstract. Permafrost is a ubiquitous phenomenon in the Arctic. Its future evolution is likely to control changes in northern high-latitude hydrology and biogeochemistry. Here we evaluate the permafrost dynamics in the global models participating in the Coupled Model Intercomparison Project (present generation – CMIP6; previous generation – CMIP5) along with the sensitivity of permafrost to climate change. Whilst the northern high-latitude air temperatures are relatively well simulated by the climate models, they do introduce a bias into any subsequent model estimate of permafrost. Therefore evaluation metrics are defined in relation to the air temperature. This paper shows that the climate, snow and permafrost physics of the CMIP6 multi-model ensemble is very similar to that of the CMIP5 multi-model ensemble. The main differences are that a small number of models have demonstrably better snow insulation in CMIP6 than in CMIP5 and a small number have a deeper soil profile. These changes lead to a small overall improvement in the representation of the permafrost extent. There is little improvement in the simulation of maximum summer thaw depth between CMIP5 and CMIP6. We suggest that more models should include a better-resolved and deeper soil profile as a first step towards addressing this. We use the annual mean thawed volume of the top 2 m of the soil defined from the model soil profiles for the permafrost region to quantify changes in permafrost dynamics. The CMIP6 models project that the annual mean frozen volume in the top 2 m of the soil could decrease by 10 %–40 %∘C-1 of global mean surface air temperature increase.

scholarly journals Simulated Tropical Precipitation Assessed across Three Major Phases of the Coupled Model Intercomparison Project (CMIP)

2020 ◽  
Vol 148 (9) ◽  
pp. 3653-3680 ◽  
Author(s):  
Stephanie Fiedler ◽  
Traute Crueger ◽  
Roberta D’Agostino ◽  
Karsten Peters ◽  
Tobias Becker ◽  
...  
Keyword(s):  
Climate Change ◽  
Twentieth Century ◽  
Southern Oscillation ◽  
Spatial Scales ◽  
Coupled Model ◽  
Climate Change Signal ◽  
Positive Trend ◽  
Model Intercomparison ◽  
Tropical Precipitation ◽  
Intercomparison Project

Abstract The representation of tropical precipitation is evaluated across three generations of models participating in phases 3, 5, and 6 of the Coupled Model Intercomparison Project (CMIP). Compared to state-of-the-art observations, improvements in tropical precipitation in the CMIP6 models are identified for some metrics, but we find no general improvement in tropical precipitation on different temporal and spatial scales. Our results indicate overall little changes across the CMIP phases for the summer monsoons, the double-ITCZ bias, and the diurnal cycle of tropical precipitation. We find a reduced amount of drizzle events in CMIP6, but tropical precipitation occurs still too frequently. Continuous improvements across the CMIP phases are identified for the number of consecutive dry days, for the representation of modes of variability, namely, the Madden–Julian oscillation and El Niño–Southern Oscillation, and for the trends in dry months in the twentieth century. The observed positive trend in extreme wet months is, however, not captured by any of the CMIP phases, which simulate negative trends for extremely wet months in the twentieth century. The regional biases are larger than a climate change signal one hopes to use the models to identify. Given the pace of climate change as compared to the pace of model improvements to simulate tropical precipitation, we question the past strategy of the development of the present class of global climate models as the mainstay of the scientific response to climate change. We suggest the exploration of alternative approaches such as high-resolution storm-resolving models that can offer better prospects to inform us about how tropical precipitation might change with anthropogenic warming.

scholarly journals Assessing the impacts of 1.5 °C global warming – simulation protocol of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP2b)

2017 ◽  
Vol 10 (12) ◽  
pp. 4321-4345 ◽  
Author(s):  
Katja Frieler ◽  
Stefan Lange ◽  
Franziska Piontek ◽  
Christopher P. O. Reyer ◽  
Jacob Schewe ◽  
...  
Keyword(s):  
Climate Change ◽  
Global Warming ◽  
Greenhouse Gas Emission ◽  
Scientific Basis ◽  
Economic Conditions ◽  
Impact Model ◽  
Model Intercomparison ◽  
Intergovernmental Panel ◽  
Simulation Protocol ◽  
Intercomparison Project

Abstract. In Paris, France, December 2015, the Conference of the Parties (COP) to the United Nations Framework Convention on Climate Change (UNFCCC) invited the Intergovernmental Panel on Climate Change (IPCC) to provide a special report in 2018 on the impacts of global warming of 1.5 °C above pre-industrial levels and related global greenhouse gas emission pathways. In Nairobi, Kenya, April 2016, the IPCC panel accepted the invitation. Here we describe the response devised within the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) to provide tailored, cross-sectorally consistent impact projections to broaden the scientific basis for the report. The simulation protocol is designed to allow for (1) separation of the impacts of historical warming starting from pre-industrial conditions from impacts of other drivers such as historical land-use changes (based on pre-industrial and historical impact model simulations); (2) quantification of the impacts of additional warming up to 1.5 °C, including a potential overshoot and long-term impacts up to 2299, and comparison to higher levels of global mean temperature change (based on the low-emissions Representative Concentration Pathway RCP2.6 and a no-mitigation pathway RCP6.0) with socio-economic conditions fixed at 2005 levels; and (3) assessment of the climate effects based on the same climate scenarios while accounting for simultaneous changes in socio-economic conditions following the middle-of-the-road Shared Socioeconomic Pathway (SSP2, Fricko et al., 2016) and in particular differential bioenergy requirements associated with the transformation of the energy system to comply with RCP2.6 compared to RCP6.0. With the aim of providing the scientific basis for an aggregation of impacts across sectors and analysis of cross-sectoral interactions that may dampen or amplify sectoral impacts, the protocol is designed to facilitate consistent impact projections from a range of impact models across different sectors (global and regional hydrology, lakes, global crops, global vegetation, regional forests, global and regional marine ecosystems and fisheries, global and regional coastal infrastructure, energy supply and demand, temperature-related mortality, and global terrestrial biodiversity).

scholarly journals Projeção da suscetibilidade a desertificação em Pernambuco utilizando o modelo HADGEM-ES (Projection of susceptibility to desertification in Pernambuco using the HADGEM-ES model)

2017 ◽  
Vol 10 (4) ◽  
pp. 1170
Author(s):  
Thalyta Soares dos Santos
Keyword(s):  
Coupled Model ◽  
Aridity Index ◽  
Research Unit ◽  
Climatic Research Unit ◽  
Model Intercomparison ◽  
Intergovernmental Panel ◽  
Desertification Process ◽  
Rcp 8.5 ◽  
Intercomparison Project ◽  
Brazilian Northeast

A suscetibilidade da região Nordeste do Brasil ao processo de desertificação está associada à variabilidade do clima e a fatores antropogênicos. Nesse contexto, extremos climáticos intensos associados à degradação do solo podem levar à aceleração do processo de desertificação no semiárido. O objetivo do trabalho é avaliar processo de desertificação no estado de Pernambuco e suas projeções para o século XXI. O estudo foi realizado com dados mensais de simulações de precipitação e temperatura do Climatic Research Unit (CRU) e projeções do modelo HADGEM2-ES derivado do Coupled Model Intercomparison Project Phase 5 (CMIP5, utilizados no quinto relatório do Intergovernmental Panel on Climate Change - IPCC-AR5) no cenário RCP 8.5. Para analise, a evapotranspiração potencial foi calculada pelo método de Thornthwaite, que serviu para o cálculo do índice de aridez. O índice de aridez é bastante utilizado nos estudos para a determinação de áreas secas e principalmente nos estudos do processo de desertificação. Os resultados indicaram que, considerando a variabilidade do climática atual e futura no Nordeste do Brasil, associada a ações antrópicas, o estado de Pernambuco tem uma alta suscetibilidade a desertificação.  A B S T R A C TThe Brazilian Northeast region susceptibility to desertification process is associated with climate variability and anthropogenic factors. Intense climatic extremes associated with soil degradation may accelerate the desertification process in the semiarid region. The main objective of this study is to evaluate the desertification process in Pernambuco state and its projections for the 21st century. The study was carried out with monthly precipitation and temperature datasets from Climatic Research Unit (CRU) and HADGEM2-ES projections, derived from the Coupled Model Intercomparison Project Phase 5 (CMIP5, used in the fifth report of the Intergovernmental Panel on Climate Change - IPCC -AR5) in the RCP 8.5 scenario. The potential evapotranspiration was calculated by the Thornthwaite method, which was used to calculate the aridity index. The aridity index is widely used in to determine dry areas, especially in desertification process studies. The results shows that, considering the current and future climate variability in Brazilian Northeast, associated with anthropic actions, Pernambuco has a high susceptibility to desertification.Keywords: CMIP5; Aridity Index; Semi-arid. 

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