Long-Term Climate Monitoring and Extreme Events

1996 ◽  
pp. 101-115 ◽  
Author(s):  
Neville Nicholls
Keyword(s):  
Extreme Events ◽  
Climate Monitoring

Long-term climate monitoring and extreme events

1995 ◽  
Vol 31 (2-4) ◽  
pp. 231-245 ◽  
Author(s):  
Neville Nicholls
Keyword(s):  
Extreme Events ◽  
Climate Monitoring

scholarly journals Identifikasi perubahan suhu udara dan curah hujan di Bogor

2020 ◽  
Vol 10 (4) ◽  
pp. 616-626
Author(s):  
Rahmat Hidayat ◽  
Alfi Wardah Farihah
Keyword(s):  
Air Temperature ◽  
Extreme Events ◽  
Climatic Parameters ◽  
West Java ◽  
Climate Parameters ◽  
Increased Temperature ◽  
Temperature Indices ◽  
Consecutive Dry Days

Climate datasets were analyzed to identify the changing climatic parameters and extreme events in Bogor, West Java. This study aims to analyze the characteristic of observational datasets in Baranangsiang and Dramaga, namely, air temperature and rainfall, and to indentify the changing structure of those climate parameters. The analysis has been conducted using RClimdex to understand the long-term changing air temperature and rainfall based on 10 indices for air temperature and 8 indices for rainfall. Results show that the rainfall in Baranangsiang has the daily mean of 10 mm/day and in Dramaga of 8 mm/day. The daily mean of air temperature in Baranangsiang and Dramaga is 27˚C and 25.5˚C, respectively. Generally, the declined slopes of the temperature indices in Barangsiang, namely, TN90p, TNx, TX10p, TNn, TXn, TR20, and SU25, indicate cooler temperature. In Dramaga, the increased temperature indices, namely, TN90p, TX90p, TXx, SU25, and TXn, indicate the warmer temperature. The rainfall indices generally decline, except for CDD, which indicate the increased consecutive dry days in Baranangsiang.   

On the Occurence of Extreme Events in Long-term Correlated and Multifractal Data Sets

2008 ◽  
pp. 1195-1207 ◽  
Author(s):  
Mikhail I. Bogachev ◽  
Jan F. Eichner ◽  
Armin Bunde
Keyword(s):  
Extreme Events ◽  
Data Sets

Critical Issues for Long-Term Climate Monitoring

1996 ◽  
pp. 55-91 ◽  
Author(s):  
Thomas R. Karl ◽  
Vernon E. Derr ◽  
David R. Easterling ◽  
Chris K. Folland ◽  
David J. Hofmann ◽  
...  
Keyword(s):  
Climate Monitoring ◽  
Critical Issues

scholarly journals A Framework to Advance the Understanding of the Ecological Effects of Extreme Climate Events

2019 ◽  
Vol 11 (21) ◽  
pp. 5954 ◽  
Author(s):  
Carlos Sanz-Lazaro
Keyword(s):  
Climate Change ◽  
Extreme Events ◽  
Ecological Effects ◽  
Rocky Shores ◽  
Long Term Effects ◽  
Starting Point ◽  
Experimental Approaches ◽  
Key Aspects ◽  
Climate Events

Climate change is modifying disturbance regimes, affecting the severity and occurrence of extreme events. Current experiments investigating extreme events have a large diversity of experimental approaches and key aspects such as the interaction with other disturbances, the timing, and long-term effects are not usually incorporated in a standardized way. This lack of comparability among studies limits advances in this field of research. This study presents a framework that is comprised of two experimental approaches designed to test expected changes on disturbance regime due to climate change. These approaches test the effects of disturbances becoming more clustered and more extreme. They use common descriptor variables regardless of the type of disturbance and ecosystem. This framework is completed with a compilation of procedures that increase the realism of experiments in the aforementioned key aspects. The proposed framework favours comparability among studies and increases our understanding of extreme events. Examples to implement this framework are given using rocky shores as a case study. Far from being perfect, the purpose of this framework is to act as a starting point that triggers the comparability and refinement of these types of experiments needed to advance our understanding of the ecological effects of extreme events.

Long-term climate monitoring by the Global Climate Observing System (GCOS)

1995 ◽  
Vol 31 (2-4) ◽  
pp. 135-147 ◽  
Author(s):  
Thomas Karl ◽  
Francis Bretherton ◽  
William Easterling ◽  
Chris Miller ◽  
Kevin Trenberth
Keyword(s):  
Global Climate ◽  
Climate Monitoring

scholarly journals Assessing the impacts of extreme weather events on potable water quality: the value to managers of a highly participatory, integrated modelling approach

2018 ◽  
Vol 2 (1) ◽  
pp. 9-24
Author(s):  
Edoardo Bertone ◽  
Oz Sahin ◽  
Russell Richards ◽  
Anne Roiko
Keyword(s):  
Water Quality ◽  
Decision Support ◽  
Extreme Events ◽  
Drinking Water Treatment ◽  
Extreme Weather ◽  
Integrated Modelling ◽  
Extreme Weather Events ◽  
Weather Events ◽  
Sd Model

Abstract A decision support tool was created to estimate the treatment efficiency of an Australian drinking water treatment system based on different combinations of extreme weather events and long-term changes. To deal with uncertainties, missing data, and nonlinear behaviours, a Bayesian network (BN) was coupled with a system dynamics (SD) model. The preliminary conceptual structures of these models were developed through stakeholders' consultation. The BN model could rank extreme events, and combinations of them, based on the severity of their impact on health-related water quality. The SD model, in turn, was used to run a long-term estimation of extreme events' impacts by including temporal factors such as increased water demand and customer feedback. The integration of the two models was performed through a combined Monte Carlo–fuzzy logic approach which allowed to take the BN's outputs as inputs for the SD model. The final product is a participatory, multidisciplinary decision support system allowing for robust, sustainable long-term water resources management under uncertain conditions for a specific location.

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