scholarly journals Estimating cassava yield in future IPCC climate scenarios for the Rio Grande do Sul State, Brazil

2017 ◽  
Vol 47 (2) ◽  
Author(s):  
Luana Fernandes Tironi ◽  
Nereu Augusto Streck ◽  
Amanda Thirza Lima Santos ◽  
Charles Patrick de Oliveira de Freitas ◽  
Lilian Osmari Uhlmann ◽  
...  
Keyword(s):  
Coupled Model ◽  
Rio Grande ◽  
The State ◽  
Future Climate ◽  
Human Consumption ◽  
Climate Scenarios ◽  
Rio Grande Do Sul ◽  
Model Intercomparison ◽  
Tuberous Roots ◽  
Intercomparison Project

ABSTRACT: The objective of this study was to simulate the yield of two cassava cultivars in two IPCC future climate scenarios, the SRES-A1B (Cmip3) and the RCP4.5 (Cmip5), for the state of Rio Grande do Sul, Brazil. The Simanihot model, with the Thornthwaite and Mather water balance sub-model, and the SRES-A1B (Cmip3 - Third Coupled Model Intercomparison Project) and RCP4.5 (Cmip5 - Fifth Coupled Model Intercomparison Project) scenarios of the Fourth and Fifth IPCC Assessment Report, respectively, was used. Cassava cultivars used in this study were 'Fepagro - RS13' (forrage) and 'Estrangeira' (human consumption). In both cultivars, there was an increase in tuberous roots yield in future climate scenarios. The cultivar for human consumption benefits more roots yield in the scenario with higher CO2 (Cmip3 scenario); whereas, the forage cultivar benefits more the Cmip5 scenario. Among the three future periods (2010-2039, 2040-2069 e 2070-2099), changes in tuberous roots yield are more evident in the end of the century period (2070-2099) and for early planting dates (01 September and 01 October). The northeastern region of the state has the greatest changes in tuberous roots yield in future climates, because this is the coldest region, with winter minimum temperature during between 6 and 8oC.

scholarly journals Soybean yield in future climate scenarios for the state of Rio Grande do Sul, Brazil

2017 ◽  
Vol 52 (6) ◽  
pp. 380-392 ◽  
Author(s):  
Jossana Ceolin Cera ◽  
Nereu Augusto Streck ◽  
Cesar Augusto Jarutais Fensterseifer ◽  
Simone Erotildes Teleginski Ferraz ◽  
Kelin Pribs Bexaira ◽  
...  
Keyword(s):  
21St Century ◽  
Rio Grande ◽  
Simulation Models ◽  
The State ◽  
Future Climate ◽  
Yield Potential ◽  
Climate Scenarios ◽  
Rio Grande Do Sul ◽  
Soybean Yield ◽  
Sowing Dates

Abstract: The objective of this work was to estimate the yield potential and the water-limited yield of soybean (Glycine max) in the state of Rio Grande do Sul, Brazil, in two future climate scenarios, SRES A1B and RCP4.5, using the SoySim and Cropgro-Soybean simulation models. In both models, three maturity groups (4.8, 5.5, and 6.0) and six sowing dates (09/01, 10/01, 11/01, 12/01, 01/01, and 02/01) were considered in the SRES A1B-CMIP3 and RCP4.5-CMIP5 scenarios. The analyzed variable was grain yield at 13% moisture (Mg ha-1). Soybean yield potential in Rio Grande do Sul should increase up to the end of the 21st century, according to both scenarios. Water-limited yield of soybean also increases up to the end of the 21st century, by the SRES A1B-CMIP3 scenario; however, it will decrease in future periods, by the RCP4.5-CMIP5 scenario because of limited soil water.

scholarly journals Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organisation

2015 ◽  
Vol 8 (12) ◽  
pp. 10539-10583 ◽  
Author(s):  
V. Eyring ◽  
S. Bony ◽  
G. A. Meehl ◽  
C. Senior ◽  
B. Stevens ◽  
...  
Keyword(s):  
Climate Model ◽  
Global Climate ◽  
Global Climate Model ◽  
Coupled Model ◽  
Research Programme ◽  
Future Climate ◽  
Model Intercomparison ◽  
Historical Simulation ◽  
Intercomparison Project

Abstract. By coordinating the design and distribution of global climate model simulations of the past, current and future climate, the Coupled Model Intercomparison Project (CMIP) has become one of the foundational elements of climate science. However, the need to address an ever-expanding range of scientific questions arising from more and more research communities has made it necessary to revise the organization of CMIP. After a long and wide community consultation, a new and more federated structure has been put in place. It consists of three major elements: (1) a handful of common experiments, the DECK (Diagnostic, Evaluation and Characterization of Klima experiments) and the CMIP Historical Simulation (1850–near-present) that will maintain continuity and help document basic characteristics of models across different phases of CMIP, (2) common standards, coordination, infrastructure and documentation that will facilitate the distribution of model outputs and the characterization of the model ensemble, and (3) an ensemble of CMIP-Endorsed Model Intercomparison Projects (MIPs) that will be specific to a particular phase of CMIP (now CMIP6) and that will build on the DECK and the CMIP Historical Simulation to address a large range of specific questions and fill the scientific gaps of the previous CMIP phases. The DECK and CMIP Historical Simulation, together with the use of CMIP data standards, will be the entry cards for models participating in CMIP. The participation in the CMIP6-Endorsed MIPs will be at the discretion of the modelling groups, and will depend on scientific interests and priorities. With the Grand Science Challenges of the World Climate Research Programme (WCRP) as its scientific backdrop, CMIP6 will address three broad questions: (i) how does the Earth system respond to forcing?, (ii) what are the origins and consequences of systematic model biases?, and (iii) how can we assess future climate changes given climate variability, predictability and uncertainties in scenarios? This CMIP6 overview paper presents the background and rationale for the new structure of CMIP, provides a detailed description of the DECK and the CMIP6 Historical Simulation, and includes a brief introduction to the 21 CMIP6-Endorsed MIPs.

scholarly journals Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization

2016 ◽  
Vol 9 (5) ◽  
pp. 1937-1958 ◽  
Author(s):  
Veronika Eyring ◽  
Sandrine Bony ◽  
Gerald A. Meehl ◽  
Catherine A. Senior ◽  
Bjorn Stevens ◽  
...  
Keyword(s):  
Climate Model ◽  
Global Climate ◽  
Global Climate Model ◽  
Coupled Model ◽  
Research Programme ◽  
Climate Science ◽  
Future Climate ◽  
Model Intercomparison ◽  
Intercomparison Project

Abstract. By coordinating the design and distribution of global climate model simulations of the past, current, and future climate, the Coupled Model Intercomparison Project (CMIP) has become one of the foundational elements of climate science. However, the need to address an ever-expanding range of scientific questions arising from more and more research communities has made it necessary to revise the organization of CMIP. After a long and wide community consultation, a new and more federated structure has been put in place. It consists of three major elements: (1) a handful of common experiments, the DECK (Diagnostic, Evaluation and Characterization of Klima) and CMIP historical simulations (1850–near present) that will maintain continuity and help document basic characteristics of models across different phases of CMIP; (2) common standards, coordination, infrastructure, and documentation that will facilitate the distribution of model outputs and the characterization of the model ensemble; and (3) an ensemble of CMIP-Endorsed Model Intercomparison Projects (MIPs) that will be specific to a particular phase of CMIP (now CMIP6) and that will build on the DECK and CMIP historical simulations to address a large range of specific questions and fill the scientific gaps of the previous CMIP phases. The DECK and CMIP historical simulations, together with the use of CMIP data standards, will be the entry cards for models participating in CMIP. Participation in CMIP6-Endorsed MIPs by individual modelling groups will be at their own discretion and will depend on their scientific interests and priorities. With the Grand Science Challenges of the World Climate Research Programme (WCRP) as its scientific backdrop, CMIP6 will address three broad questions: – How does the Earth system respond to forcing? – What are the origins and consequences of systematic model biases? – How can we assess future climate changes given internal climate variability, predictability, and uncertainties in scenarios? This CMIP6 overview paper presents the background and rationale for the new structure of CMIP, provides a detailed description of the DECK and CMIP6 historical simulations, and includes a brief introduction to the 21 CMIP6-Endorsed MIPs.

scholarly journals Future changes in monsoon duration and precipitation using CMIP6

2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Suyeon Moon ◽  
Kyung-Ja Ha
Keyword(s):  
Rainy Season ◽  
Coupled Model ◽  
Future Climate ◽  
Future Scenarios ◽  
Model Intercomparison ◽  
Future Change ◽  
The Future ◽  
Intercomparison Project ◽  
Regional Monsoon ◽  
Thermodynamic Factors

AbstractFuture change in summertime rainfall under a warmer climate will impact the lives of more than two-thirds of the world’s population. However, the future changes in the duration of the rainy season affected by regional characteristics are not yet entirely understood. We try to understand changes in the length of the rainy season as well as the amounts of the future summertime precipitation, and the related processes over regional monsoon domains using phase six of the Coupled Model Intercomparison Project archive. Projections reveal extensions of the rainy season over the most of monsoon domains, except over the American monsoon. Enhancing the precipitation in the future climate has various increasing rates depending on the subregional monsoon, and it is mainly affected by changes in thermodynamic factors. This study promotes awareness for the risk of unforeseen future situations by showing regional changes in precipitation according to future scenarios.

scholarly journals A Revised View of Australia’s Future Climate

Eos ◽  
2020 ◽  
Vol 101 ◽  
Author(s):  
David Shultz
Keyword(s):  
Regional Climate ◽  
Coupled Model ◽  
Extreme Heat ◽  
Future Climate ◽  
Model Intercomparison ◽  
Extreme Heat Events ◽  
Intercomparison Project ◽  
Heat Events

The most recent generation of models of the Coupled Model Intercomparison Project better captures rainfall drivers, extreme heat events, and other facets of regional climate.

scholarly journals PRINCIPAIS LESÕES HEPÁTICAS ENCONTRADAS EM BOVINOS ABATIDOS PARA CONSUMO HUMANO NO NOROESTE DO ESTADO DO RIO GRANDE DO SUL/ MAIN HEPATIC INJURIES FOUND IN CATTLE SLAUGHTERED FOR NORTHWEST HUMAN CONSUMPTION IN THE STATE OF RIO GRANDE DO SUL

2021 ◽  
Vol 7 (2) ◽  
pp. 17677-17696
Author(s):  
Simoní Janaina Ziegler ◽  
Camila Naiara Batista Picinin ◽  
Bruna Carolina Ulsenheimer ◽  
Cassiel Gehrke da Silva ◽  
Felipe Libardoni ◽  
...  
Keyword(s):  
Rio Grande ◽  
The State ◽  
Human Consumption ◽  
Rio Grande Do Sul ◽  
Hepatic Injuries

scholarly journals Crustacea, Isopoda, Oniscidea Latreille, 1802: new continent record and distribution extension in Brazil

Check List ◽  
2010 ◽  
Vol 6 (2) ◽  
pp. 217 ◽  
Author(s):  
Mariana Juventina Magrini ◽  
Paula Beatriz Araujo ◽  
Marcio Uehara-Prado
Keyword(s):  
Rio Grande ◽  
Sao Paulo ◽  
The State ◽  
Southeastern Brazil ◽  
Pitfall Traps ◽  
São Paulo ◽  
Undescribed Species ◽  
Rio Grande Do Sul ◽  
Serra Do Mar ◽  
First Time

Terrestrial Isopods were sampled in four protected Atlantic Forest areas located in Serra do Mar, state of São Paulo, southeastern Brazil. A total of 2,217 individuals of six species (Atlantoscia sp., Benthana werneri, Pseudodiploexochus tabularis, Pudeoniscus obscurus, Styloniscus spinosus and Trichorhina sp.) were captured in pitfall traps. The exotic species S. spinosus is recorded for the first time for the Americas. Another introduced species, P. tabularis, previously recorded only from the state of Rio Grande do Sul, had its geographic distribution extended to the state of São Paulo. The most abundant isopods in this study belong to an undescribed species of Atlantoscia.

scholarly journals Future Changes in Simulated Evapotranspiration across Continental Africa Based on CMIP6 CNRM-CM6

2021 ◽  
Vol 18 (13) ◽  
pp. 6760
Author(s):  
Isaac Kwesi Nooni ◽  
Daniel Fiifi T. Hagan ◽  
Guojie Wang ◽  
Waheed Ullah ◽  
Jiao Lu ◽  
...  
Keyword(s):  
Extreme Events ◽  
Coupled Model ◽  
Baseline Period ◽  
Model Intercomparison ◽  
Additional Information ◽  
Intercomparison Project ◽  
Key Drivers ◽  
Model Ensembles ◽  
Projected Changes ◽  
Near Future

The main goal of this study was to assess the interannual variations and spatial patterns of projected changes in simulated evapotranspiration (ET) in the 21st century over continental Africa based on the latest Shared Socioeconomic Pathways and the Representative Concentration Pathways (SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5) provided by the France Centre National de Recherches Météorologiques (CNRM-CM) model in the Sixth Phase of Coupled Model Intercomparison Project (CMIP6) framework. The projected spatial and temporal changes were computed for three time slices: 2020–2039 (near future), 2040–2069 (mid-century), and 2080–2099 (end-of-the-century), relative to the baseline period (1995–2014). The results show that the spatial pattern of the projected ET was not uniform and varied across the climate region and under the SSP-RCPs scenarios. Although the trends varied, they were statistically significant for all SSP-RCPs. The SSP5-8.5 and SSP3-7.0 projected higher ET seasonality than SSP1-2.6 and SSP2-4.5. In general, we suggest the need for modelers and forecasters to pay more attention to changes in the simulated ET and their impact on extreme events. The findings provide useful information for water resources managers to develop specific measures to mitigate extreme events in the regions most affected by possible changes in the region’s climate. However, readers are advised to treat the results with caution as they are based on a single GCM model. Further research on multi-model ensembles (as more models’ outputs become available) and possible key drivers may provide additional information on CMIP6 ET projections in the region.

Epidemiology of influenza B infection in the state of Rio Grande do Sul, Brazil, from 2003 to 2019

2021 ◽  
Author(s):  
Marina Beretta Duarte ◽  
Tatiana Schäffer Gregianini ◽  
Letícia G. Martins ◽  
Ana Beatriz G. Veiga
Keyword(s):  
Rio Grande ◽  
The State ◽  
Influenza B ◽  
Rio Grande Do Sul
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