Questions related to Extreme Events
I'm part of a project creating a public atlas to document and map people's subjective experiences of extreme weather events. I've included information and a link to a short survey below. Feel free to fill this out yourself, and/or forward to your networks via email, social media, etc. Thanks!
Extreme Weather Events Survey
Ecologies of Harm: Mapping Contexts of Vulnerability in the Time of Covid-19 The University of British Columbia
This is a digital commons project intended to provide equitable access to knowledge.
COVID-19 presents the potential for people and groups to become exposed to harm in new ways. To see the overlapping ways in which these harms may be occurring, we’ve designed a survey for experiences of extreme weather events that are affecting people across the world.
This is a citizen / community observation survey, open to anyone 18 years of age and older who wishes to contribute. Your descriptions will upload directly to an interactive map of the world that is publicly accessible on this website: https://blogs.ubc.ca/ecologiesofharmproject
Your participation is entirely voluntary, and you do not have to answer every question. If you do wish to participate, you do not need to record your name. You may contribute as many observations as you like!
Please share widely, and keep in mind that re-posting, “liking,” or “following,” will be visible to others on public network platforms.
Link to survey: https://arcg.is/fvO4G0
Project Email: Anth.CovidVulnerabilityMap@ubc.ca
Principal Investigator: Dr. Leslie Robertson
I wanted to ask that if we have to develop a modelling tool to anticipate the impacts of weather extreme events on the water quality of a lake but the amount of information collected in the field is scarce. What kind of models would be better to use and which are the natural processes we should include in the models. Please guide me briefly if possible.
I would compute Hosking & Wallis discordancy test based on L-comoments for multivariate Regional Frequency Analysis. Please help me by answer to these questions.
1- Is that the same transpose of the U matrix in the attached file?
2- Are there any R packages related to multivariate L-comoments homogeneity tests?
I worked with “lmomco” and “lmomRFA” before this.
Thanks for any help.
Ecosystem service is widely recognized modelling approach for various environmental friendly practical-use.
Water can be accumulated in natural aquifers - lakes, wetlands, and anthropogenic reservoirs - (wet as well as dry) detention ponds. Retention of water in soil may be considered as the strategy aiming at slowing down extreme event in the urban area which implies Urban Heat Effect. Water retention may mitigate water scarcity, and enhance the water storage in cities, important for green-blue infrastructure.
It shall be a good idea to use soil water retention capacity as ecosystem service in urban area?
What do you think? I wonder wether it is possible, and if so, by which means to clearly distinguish the criterion for overall natural water retention measure, and soil and water conservation?
Extreme precipitation may alter the mean diurnal cycle of precipitation for a specific region. How it can be handled while computing diurnal cycle? Any suggestion would be highly appreciated.
What do you think about the onset of extreme rainfalls in UAE. Is there any negative impact of excessive "cloud seeding" during 2019 (185 times)
Cloud seeding: is a type of weather modification that aims to change the amount or type of precipitation that falls from clouds by dispersing substances into the air that serve as cloud condensation or ice nuclei, which alter the microphysical processes within the cloud.
I want to model glass facades by ABAQUS under extreme events. For this simulation, I need the material characterization of glass facades. I would be immensely grateful if you guide me in this regard. I really appreciate you for your help in advance.
I wanted to observe the rotational velocity of the Hurricane which was reported to be around 175mph, but when I looked at reanlysis products like ERA Interim or 20CRV2C the maximum wind speed I can get is about 45mph, why is the speed in the reanalysis products so low. Or is just that they are measuring different speeds?
I am trying to do a bi-variate (average intensity and duration) frequency analysis of extreme rainfall events for urban flood studies. I have hourly rainfall data for 45 years and have delinted into events using IETD. However, i am finding difficulty in selecting rainfall intensity threshold above which the events are considered to be extreme events. Some studies have used annual maximum average intensity, maximum depth, peak intensity, annual maximum cumulative probability etc. But, i would prefer a peak over threshold approach than annual maximum and of-course i can identify an appropriate threshold for average intensity (which is one of the bi-variate) using mean residual life plot. But using that method i am ending up with around 500 events, which i feel is too many to be treated as extremes. Could someone help me with this.
Is there database or data platform can give completely the historical extreme events, and it is better for collecting much losses or mortality caused by the extreme event.
I would like to ask that Please guide me by sharing your knowledge and expert opinion "Which is the good tool for Extreme Climate Indices Analysis".
We would like to invite you to contribute with your original research articles, reviews, and technical notes to the Special Issue "Climate prediction of extreme events" in the journal Geosciences.
More information can be found at:
Deadline for manuscript submissions: 31 August 2019
We are looking forward to your valuable contribution,
Dr. Marco Turco
Dr. Sonia Jerez
Dear all. It is known, that climate change and also extreme weather can cause outbreak of some pests and their enemies also. Other pests may be diminshed. The question is: How extreme weather events like heat, drought, storm, heavy down poors, hail, flooding will influence the special diseases of meadow fescue and the special plant protection measures (chemical and biological) in meadow fescue. We found nothing in literature but need more information for risk assessment. Under current climate conditions plant diseases and pests, (mammalians, weeds, insect pests, nematodes and plant pathogens like fungi, viruses, bacteria) can cause considerably yield losses and damages of crops. Climate change will likely lead to increase the frequency, intensity, spatial extent, duration and timing of weather and climate extremes. Does anyone have any information about the impacts of extreme weather events on diseases and pests of meadow fescue? We reviewed the possible impacts of weather extremes on pests (weeds, insect pests and plant pathogens) of meadow fescue by analyzing scientific literature published since 1945, concerning the knowledge about the influences of extreme weather on incidence of these pests.
Please, let me know which is the best Statistical Downscaling Technique for Precipitations and Temperatures. I have to use 20 GCMs data. If anybody have developed own code using MATLAB, R or any language. Please also comment.
Thanks in advance.
Since, extreme events are the rare events with in the climate cycle, is a modeling framework based study reliable for analyzing the changes in extreme events and their interactions with the components of the earth system, or we have to depend on an observation based systems for extreme event studies.
I am working on a project around extreme events. I would like to know what are some of the common cognitive reactions that are usually studied in the field of organizational behavior (e.g., self-efficacy, organizational based self esteem)?
A depression over Central India may seem the reason behind the heavy precipitation. But is there any connection of climate change and global warming on flood conditions there.
I am working on hydro logical extreme events under hypothetical climate change. but i refer some studies about hypothetical climate scenarios and pointed out different range of hypothetical climate scenarios with out any reasons would any one help me how to build a hypothetical climate scenarios or reasonable references?
I am working with extreme temperature events. To accomplish my work I have to define extreme temperature threshold (maximum and minimum). More explicitly, after which temperature I call it extreme (for both maximum and minimum) for my data. Is there any standard process to establish threshold value based available data?
Thanks in advance.
I want to evaluate extreme events in a basin specially perennial rivers , African Rivers Case i try to use the statistical methods of extreme analysis like the POT and general Pareto methods. but the main challenge face to me is that how can I select the specific thresholds to evaluate with out a given depth of flow that results in a flood or a drought? How can i define the thresholds, based on the data i have? If you look at the observed runoff for one of stations in the catchment, how will determine the times when there were extreme events? floods or drought? if any one know some methods please put here with some references,thank you
I am looking for software to help regulators manage emergency response teams in case of extreme events of air pollution release or odor complaints from citizens.
The software should:
- be connected at real time to air quality and meteorological stations (and possibly air quality model outputs),
- be able to run backward/forward trajectories,
- display location and time of complaints reported by citizens,
- provide information about the potential / suspected emission sources.
One example I came across is Odournet's odourmap (www.odourmap.com).
This question has been around for decades and it requires truly interdisciplinary efforts to answer.
The major ecosystems of the planet are critically important for humans and for all creatures, and they are currently subject to very strong pressure from climate change and from human-induced ecological disturbances, such as agriculture and invasive species. Ecosystems change both slowly and abruptly in apparent response to extreme events that may be embedded in long-term change. Ecosystems have strong feedback effects on the atmospheric budgets of heat, moisture, greenhouse gases and aerosols, and, therefore, on climate.
To find out how climate change will affect forests and dry-land vegetation, and how those changes will affect atmospheric composition, we need more observations. Observations need to be on timescales of decades or longer to reflect processes in the atmosphere and of the major ecosystems. They also need to span local, regional and global spatial scales. Finally, we need ecosystem models integrated with atmospheric models that work like real systems.
In the United States, there are efforts to study parts of this problem and to make the requisite observations, supported by the National Science Foundation, the Department of Energy, NASA, the U.S. Forest Service and NOAA. What remains to be done is to coordinate and invigorate these efforts, and to commit to solving the problem on the relevant time and space scales. We have certainly seen a lot of progress in the last few years, but it has mostly served to point to the serious the gaps in our knowledge.
Ecosystem health goes hand-in-hand with human health and economic vitality. Atmosphere-biosphere interactions are powerful and have vast implications.
For example, in hydrology, for a monthly flow series, how can I determine the possibility that one point indicates an extreme high (or low) flow event, and the duration of that event?