Questions related to Climate Change Impacts
Dear all, I am working on climate change impact;
and I couldn't get Matlab code to convert the NC file of CMIP6 to excel
is there anyone to help me?
Nature-based solutions relate to the sustainable management and application of natural features and processes to address socio-environmental issues.
my name is Carolin Fischer, a sociology student from the Friedrich-Schiller-University Jena. I am currently writing my Bachelor's Thesis in the field of Cultural and Environmental Sociology. As this will be a qualitative study on environmental topics I am looking for interview partners, who work (or used to work) in the field of environmental and climate change research. The interviews will be held via video chat either in German or English.
If you're interested in being interviewed and in helping me with my thesis please feel free to contact me via Research Gate or mail: firstname.lastname@example.org
Thank you and kind regards,
According to the Global Climate Risk Index 2021, developing countries bear the brunt of risks associated with climate change. International Climate Financing has increased over the years; however, the question remains how it can be efficiently managed and assessed for its successful implementation.
Kindly provide your valuable feedbacks.
Donald Trump's withdrawal from the Paris climate agreement threatens its future. Now, whispers of Brazil's withdrawal from the Paris climate agreement is heard. Seems Brazil's withdrawal influenced by the withdrawal of the USA. Under this situation, will other countries also withdraw from the agreement?
In your opinion, how will the withdrawal of these countries affect the future of this agreement?
Is there any standard method to measure the effectiveness and success rate of any adaptation measures taken at the local, national, and regional level against climate change impacts? I have found some relevant articles. But, I am looking for a standard methodology accepted by an international body like the UNFCCC.
One of the best option to reduce climate change impact is the promotion of renewable energy. To protect global environment and reduction of GHG emissions promotion of alternative energy is essential. If we assume except GHG emission from renewable energy resources, fossil fuel combustion will be reduced in 0-10% globally our climate change burden will be stopped. So, can it will be possible handing together all nations to replace the fossil fuel combustion completely?
Without considering climate change impacts, what will be the major causes of streamflow behavior variations?
The West Antarctic Peninsula is one of the fastest warming areas on Earth, with only some areas of the Arctic Circle experiencing faster rising temperatures. However, since Antarctica is a big place, climate change is not having a uniform impact, with some areas experiencing increases in sea ice extent. Yet in others, sea ice is decreasing, with measurable impacts on wildlife. Scientist believes that understanding climate change impacts on Antarctica is a matter of critical importance for the world and for the continent itself.
The effects of global warming in Antarctica may include rising temperatures and increasing snow melt and ice loss. The rising temperature may be causing more icebergs to form by weakening the glaciers, causing more cracks and making ice more likely to break off. As soon as theice falls into the ocean, the ocean rises a little. If all of the Antarctic ice melted,sea levels around the world would rise about 61 meters (200 feet).
Dear researchers, please provide your prestigious opinion on this important matter. Thank you
Mangroves have the ability to absorb up to four times more carbon dioxide by area than upland terrestrial forest ecosystems, carbon dioxide is stored as blue Carbon in the sediment of the mangroves swamps and marshes and green carbon in the soils of the terrestrial forest floors, and that carbon sink forms the carbon pool, but the result obtained from the analysis of the sediment samples of both types of ecosystems doesn't reflect that quantity, the organic carbon of the mangroves swamps ranges from 36 to 69%, whereas, the organic carbon content of the soils of the terrestrial forest ecosystems varies from 16 to 66%, then where and how the extra carbon stored in the mangroves sediments as blue Carbon which is four times more than that of the green carbon of the forest soil?
Bioclimatic stress is one of the effects of climate change on human health. I would like to assess the probability for displaced persons identified in a slum population to have experienced, at least, one episode of stress due to climatic events which affected them. Which simple tool or psychological test would be better suited to do so in the context of a study on social representations of diseases related to climate change?
Changes in temperature, precipitation, and humidity will significantly impact the quality and quantity of water across the country, where water resources are also under unprecedented pressure from population growth, rapid urbanization, and inefficient water use.
Following the aim of assessing the ecohydrological impacts of climate change in tropical subhumid watershed of Venezuela, we need to select some climate global models (CGMs). So, we will obtain several future daily climate data bases for running SWAT simulations under different "feasible and expected" conditions.
We have some basic questions before go ahead:
How to select the "better" GCMs?
One way appears to be comparing the CGM outputs with the records of historical reference time period (selecting those models showing the better evaluation stats).
1) Considering the CGM outputs (raw, not downscaled) spatial resolution:
Comparing against historical local record data would be an admitted procedure?
2) If GCM "historic" outputs are downscaled ( i.e: bias correction by quantile mapping) using a historical data record, then these corrected CGM outputs will be compared with the same data record. Doesn't it imply a redundancy that leads to a obvious improvement?
3) There is no way of validating the future CGM simulation. Then: it really worth to select the "best" CGM according actual historic data records?. In other words: you may have a very good simulation for an actual historical record, but: will model perform a good simulation of the future?
Different points of view will be very valuable on our research. Thank you very much in advance.
secondary products such as Alkaloids; phenol and others defense from climate effects such as Temperature, toxins and pollutants?
i am new to these studies so please suggest me which downscaling techniques will be best to access climate change impacts scenario of Karnali river basin of Nepal...
We live in a changing world. Not only the climate is changing but also the system that is exposed to this climate.
In the discussion on the impacts of climate change, the changing climate is given a very important role, while non-climatic factors (e.g. land use, demographic/socio-economic factors) are often only the subject of studies of the status quo. However, the changes or transformation of such non-climatic factors in the future are often not adequately considered.
Aren't these factors equally or even more important, as there is a large scope for action, especially in the distribution of these elements?
I warmly welcome for your healthy opinions on this mordant topic.
We, scientific community had began simulation and models of human or we induced climate change (CC) & its impacts from late 1970's & later. There are big shots (IPCC, UNFCC, GAR, etc..) who narrated the scientific stories in scientific manner on global warming (GW), ozone depletion and hastens on climate to change and 'bio D` loses'. The report and studies of them has accelerated to new invoke and evoked human communities from different clans of nations. They said the reason for CC was the elite nations who contributed to such cause as much.
The elite group of nations has enlightened the now progressing nations as its the duty and responsibility of the second and third nation groups to rebuild mother earth as of as it was. Sometimes I go numbed while looking into the gist of CC as we produced. I now go doubtful on this mark, as any interventions by we ourselves to nature is and will be again CC. Then how can we build back better?
I hope so, some may answer or go through the thoughts into our recent efforts on emission reduction and mitigations strategies. Yes, I agree that the reports of recent dates has told us that we had reduced further ozone depletion through greening our technologies. I accept it.
But again I am now fascinated to have much more questions to myself. I ask you that, if we had reduced ozone depletion as from previous situation then why we again face GW, CC & its impacts?
Let it be as such as beautiful granny fearing stories in those reports for our younger ones to read learn & fear. Mean while other group of scientific community emerged as NIPCC & has brought with reconstructed CC reports on contrary to IPCC. They too narrated quite dread stories than of former ones in quite harmless fashion.
I go with scratchy head to the nasty scientific community and came into a conclusion from these CC trepidation reports that we need a third dimensional approach to visualize the CC concept in more diverse manner than of we now have. It is now necessary for the clans of nations with CC impacts, to redraw or rewrite the CC stories into their own dictations for our younger ones to fear.
We gave reasonable reasons that green house gases are much contributors for the CC and allied impacts. Ok I agree this notation with scientific justification made. Just we people want to think & imagine on what if one of the constituent was drastically reduced through our efforts ?
For an example, take CO gas reduced that of required by our activity what will happen? The earth will go frost readily. Imagine all water and its matter go frost for all of a sudden. Hope so i am now incorporating a new mode of CC fear in you in new dimensions. Just think of what if CH4 reduced in atmosphere? The same effect will happen. Think of doubling the ozone layer on our outer spheres, what will happen? Sunlight cannot enter through the reframed atmospheric windows and quite some of spectrum will be screened off, like essential IR. Then think about the vegetation on earth and what will be the primary productivity on this planet?
Till now i talked a glimpse on we induced CC.
Now let's talk about CC fear propagating from mother nature itself.
Recent studies on earths deflections of its axis, as it has tilted further. Imagine that slight tilt can change much change in now prescribed environments will definitely turn into other ecosystems. Think Asia totally becoming desert or as permafrost or as ocean ecosystem. So as think, what will and might happen to now continents and zoogeographic, bio-geography zones? what about the concept of meridians and its shifts? what about shifts in time? what about effect and shift in rotation, revolution of earth? What about seasons & weather? what about the number of days in months, year concepts?
All scientific concepts can go ruined or shall be tuned to later shifts. Had any one thought about that?
What if the density of water increased with enormity in increase of gravitational pull. or imagine gravitational repelling mechanism. Think about the what if the inner core solidifies? What if rotation of earth stopped? what if rotation and circulation of air, wind stopped. what if waves and tides stopped? what if sea and ocean recedes and brought unusable lands?
This type of W-H questions are nasty and will go on in our era and can end untill human extinction.
So, no need to worry about this planet, this planet earth is a self sustained and regulated with its own homeostasis and cybernetic mechanics and has its own system engineering with a loop. As of game spirit nature will nurture itself. It can emanate from its end. If one species goes extinct now time, can re-emanate after its on cyclic turn than we human calculated scales of time & dimension.
So, incorporation of CC fear in the name of power, knowledge, wealth transfer and its business shall have an scientific end in next research and reports that we kind produce to the world not to fool or manipulate our kind. We scientific community shall stop tending ourselves as scientific dictators and barbarian bureaucrats for the rest of the peaceful human kinds.
In the name of business and its ratification on CC has need to wave a noble dimension other than incorporating fear into mankind. Make reports one such that doesn't incorporate nature as a thing to fear for future generations. Hope we can reduce these, ingress of cc fear reports onto our own communities to develop good mental health and well being of ourselves.
Learn to make reports to love nature, and natural phenomenon's as it is.
Don't portray the phenomenon's into fearful scientific stories.
I’m trying to compose a timeline that projects threats and problems that cause uncertainty to health over the next century.
I’m interested in all long-term health issues including drug resistance, global warming impacts, the impact of technology, biological warfare and terrorism etc.
The closer these events are, the better we can predict when and if they’ll make an impact, but I'm interested in the lot (and the fuzzy logic of when and how big).
I've asked a similar question recently and I got a single good answer - but surely there's more than just one forward thinking researcher out there!
1. Have you heard of any major risks to health over the next 100 years?
2. When are these risks expected and why then?
3. Any predictions on impact size?
4. Do you have any references? They don’t need to be academic, but academic Is better.
5. Any other thoughts?
6. Do you want to receive this data once I’ve compiled it?
When assessing the impacts of climate change in hydro-climatological studies, researchers often compare "GCM future run with historical observed" or "GCM future run with GCM control run" ? Can somebody give some insights on a comparison of these approaches?
Seeking answers and/or examples of how countries or projects or independent researchers have defined and measures a community’s resilience to climate change impacts.
This is probably a naive question for economists, but I am a lawyer with limited understanging of econ and thus I am not confident about how to answer this question. Assume we have an agricultural production function with contstant return to scale. One factor contributing to production is water. Now climate change hits and hits the elasticity of water (but does not impact elasticity of other factors) then I would say, depending on which direction the elasticity of water heads, the return to scale will change to increasing or decresing. Does this make sense given the assumptions?
I am working on a climate change impact study. I am using Gridded Data (For Temperature and Precipitation) Like CRU and CFSR to perform Trend Analysis. One necessary test prior to detect trends is to check the data for serial correlation. I want to know that is there any need to test the Gridded Data for serial correlation or not?
Thank You in Advance
CO2 emission largely determine global mean surface warming by the late 21st century and beyond, and greenhouse gas emissions vary over a wide range. Greenhouse gases will cause further warming and permanent changes in all components of the climate system. Some of these changes have been linked to human influences, including a decrease in cold temperature extremes, an increase in warm temperature extremes, an increase in extreme high sea levels and an increase in the number of heavy precipitation events in a number of regions. What could be the effect of the climate change on insect ?
Floods, a world-wide disasters, always bring about live and economic losses. the common definition for this is the quick rising processes of the hydrological elements ( water level, discharge,etc.). Many researchers have done many works on it. At current stage, people in different countries prefer to identifying the flood using flood frequency analysis via measured stream flow, and forms a series of method to rate the flood. Also, there are other method to identify flood including percentile- based method and multiyear average flow. It is easier to understand flood when using the measured values, which are capable of capturing the true flow peak. While the simulated stream flow is daily-scale, and is always compared on monthly scale for a large-scale model. So there are many information lost and facing the accuracy issues because of the rainfall. In this condition, how to identify it is very difficult based on my best knowledge. So i want to get advise on this platform. Sincerely welcome to provide your points in view of this. ( Ps, I am now working on the climate change impact on flood using large-scale model where the daily streamflow can be derived， what i want is to extract the flood information and rank them)
LUP through cities master plan for example in many countries is statutory based, fixed over longer terms (20 or more years), with many approval process even for minor amendments in any plan. Climate change impacts on the other hand are now real especially in coastal cities of Asia, Africa and even South America. my interest is to understand what exactly has been done in your country or the country you are aware of to make sure that long term land use plans are adequately aligned in favour of climate change mitigation and adaptation strategies.
Springs (discharge of groundwater) are common in all landscapes even if the abundance and the remaining times and sizes of aquifers differ.
If it is not deep aquifers or karst, springs are reflecting the climatic conditions (e.g. mean temperature, seasonality, precipitation) should be reflected (with some delay) in the springs.
Many spring species are stenoecic and adapted to very specific conditions of temperature and water chemistry.
We did some studies on this in the past, but now i would like to develop a concept for using springs and spring species for climate change impacts because most weather stations are in settlements and not in natural ecosystems.
Are there people around with similar interests?
Since Turkey is located in the Mediterranean macroclimate region in the sub-tropical zone, great rainfall variations can be seen between the years. at the north part, extreme rainfall and flood hazards and at the south and south-west part overheating are among main problems. However, the severity and of these variations is different from region to region. how can we define the most risky region, which its built heritage will be affected more in terms of future climate change?
Dear colleagues I am working on the impacts of climate change on livestock production and productivity. I have the data on land use, land cover change and 32 years of climate data. By which model I correlate, analyses and project livestock production? What do you recommend for me and how??
I tried to use the Models like MITERRA-Europe and IMAGE Models. However, the models did not include all production determinants such as Feed, diseases, genetics and Management. What model do you recommend for me in tropics?
Developing countries suffer from the emission level of developed countries due to exacerbating Green House Gas (GHGs). As a result, global warming is elevating climate change impacts and sea level rise. Are developed countries taking any actions or is that the their wealth is bigger than the life of the planet?
When we talk of climate change, we mostly refer to changes in climate variable such as temperature, rainfall, humidity, wind speed etc. If that is the case why do some studies assess farmers perception on climate change with variables such as flood, drought pest and diseases ect. Are these variables not actually the impact of climate change of they are really climate change? I need more clarification on this issue.
Hi - I'm looking for a paper (preferable peer-reviewed) about the relationship between changes in climate in key coffee-growing regions as an factor driving a surge on world markets.
Anybody would know where I can find this info?
I am currently working on some project where i need to do a quick estimate of climate change impact on stream flow so i selected GR4J model. but i suspect that this models lack robustness when they are dealing with non stationary data set. so i wanted to know whether or not i have to choose another method or is this model is being used for the same purpose on other study areas? can any body help?
I'm working on a paper and would like to have some suggestions on literature related to climate change and it impacts on urban planning (SD model).
Dear all i want to know"climate change and its impacts on agriculture productivity and forcasting."(india) (20 crops data temp rain)
which variables we have to choose to see impacts it should be climatic and no climatic socio-economic and so on.
suppose there are some variables please tell whethetr these variables are co related to or not. many literature used different variables you please mention which are more imp and less imp.
- agriculture productivity
- forest area
- ghg emisssion data
- agriculture labouror
- literacy rate (male pop) or all ?(what to choose for whole india)
- tractor used in
- farm harvest price? is it useful ?if yes why?
- total consumption of fertilizers used
- maxim temp
- minimum temp
- average temp
- gross irrigated area(why ?can we use net irrigated area?)
- crop wise irrigated area
- cropped area
- crop intensity
telll which data should we include if not given above and which should not include for these type of studies.because we want to see vriation in productivity due to these factors.
need your suggestions
I am looking for publications quantifying climate change impacts on ocean saline, the Pacific ocean to be specific. Has anybody worked or being aware of research on this issue? I do greatly appreciate for your suggestion on such publications/projects.
I'm currently working on predicting the climate change impacts with LARS-WG statistical downscaling model. LARS-WG supports existing models of CMIP5. Given that, the GCM models are very diverse. I should compare the historical period of the model with the observation period of my area. To see which model is suitable for my area. I saw this in some articles. My problem is that I do not know where I can get historical data about GCMs. The data I need is the maximum and minimum temperature, precipitation, sunshine and solar radiation.
Thank you so much for advising me.
Hello to all,
I am working to compute the water footprints of different crops for the future climatic conditions on the basis of previous/past available data. can any body suggest me good software of simulation according to my requirements please?
Temperature has got a detrimental role in fruit & vegetable varieties. Hot regions of the globe are rich in food varieties and production. Most of the published research papers are talking against climate change. Is there any research talking about positive impacts of climate change.
please tell all solution with reference to reduce climate change impacts on agriculture or agriculture productivity.
like agroforestry is also a solution
of course rainfall and temperature as climate indicators influencing CWR and hence IR, however productivity influenced by other factors than climate
In SWAT modelling I have only precipitation and temperature data for my observed stations. I am using Simulation Tab in Weather Data definition menu for WIND, SOLAR AND HUMIDITY. What values I need to input in the Wgenuser table for SOLARAV,WNDAV and DEWpt as when i leave them blank an error is generated?
Which hydrological framework is best suitable for climate change impact assessment and drainage basin study?
As we know, some island countries like Tuvalu, Kiribati and the Maldives risk disappearing because of the climatic changes. Do you know of any solution adopted by island countries to avoid their disappearance caused by climate change?
I want to start my PhD research on Climate change impact assessment and adaptation in public health in Nigeria.I would like to know methodology to use tofor this research. I need to ask how can a specific methodology helps in defining the frontiers of my research. Can someone share a Conceptual framework on similar kind of research? I hope I can improve my question after your kind responses
I am working on climate change impact on streamflow, sediment flux ,hydropower and reservoir sediment management using SWAT,HEC-ResSim and SedSim softwares.But I couldn't be able to get SedSim software. Would You help me to get the software?
Can the data of different periods be used in SWAT Model for Simulation and future climate change impact assessment. i have two stations for which temperature and precipitation data is available from 1986-2015 for one station and from 1990-2015 for other station. how should i incorporate these data in SWAT model.
Secondly is it ok to perform bias correction for future data using 20 year observed data or 30 year minimum should be use?
Want to do study on food security problem faced in India. I want find the climate change factors that affect the crop cultivation and what kind of effect does each parameter contribute.
I'm conducting research on climate change impact on thunderstorm in Thailand. Most of the research papers I've read was conducted in Europe and United states region and almost none in Asian region. Most of the papers referred to the future projected output from RCMs such as COSMO-CLM, NARCCAP, etc. However, what I've found on the data distribution website was only the precipitation, temperature and other variables. None of the stability or thunderstorm indices was found.
I think I misunderstand something or some concept of acquiring the data. Is it possible to get those indices in Asian region? or it is available only in Europe and USA?
Please kindly advice me.
Thank you in advance.
I am looking for a Post-Doctor position in Europe, USA or Canada for two years or more. Please if you have any suggestions or you have a position to offer you may contact me by e-mail : email@example.com
My research interests are: Rs & GIS, Precision farming (PF), Volunteered Geographic Information (VGI), Soil science, Climate change impacts on agriculture.
Thank you in advance for your help
i have to use linear scaling technique for the bias correction of RCM output to be used in climate change impact studies, can anyone recommend any elaborated literature on this topic?
In the subject research:
Can I use a combination of the following three approaches: 1) Phenomenology, 2) Ethnography, and 3) Case Study?
Would this combination help in easing the research or complicating it?
The Kashechewan community in Northern Ontario (located at the southwestern James Bay) has been frequently experiencing (5-6 flooding events in the past 8-10 years) the flooding events, which is linked to climate change. I would like to examine climate change impacts on the community. In addition, I would like to explore potential (new) opportunities that may arise from climate change for adaptation. This mean not just focusing on the negative impacts of climate change. But also focusing on new opportunities for adaptation. I would also like to explore what contribution Traditional Knowledge and Indigenous Culture can make to reduce the climate change effects and help in its adaptation.
-Have anyone quantify the sensitivity: contribution of temperature and precipitation in long-term algae biomass variation?
-In other words, how much more algae blooms would we see in the future?
biotics organisms and abiotics factors are causing several changes in different geographical locations of the earth surface,is there any theory discous these pheomena?
I am looking for some information on best climate change adaptation practices which are currently being used or have potential to be implemented in a developed country.
This year the "Kanikonna" - scientific name "Cassia fistula" has blossomed so early unlike in normal years as like in the month of April, Vishu Festival which is the beginning of Kerala New Year. The traditional knowledge of indigenous people says that it is connected to the incoming drought or wet situation that may occur but this say is without any scientific basis., I wish to get some information from those who have done any similarity studies on this aspect..
Historical climate change has had a profound effect on current biogeography, so we can expect our ongoing and rapid climate change, to have a great impact on human beings life. Climate change has important implications for almost every aspect of Human life on Earth , And effects are already being felt day by day, everywhere and everybody ..
I have past 30 years observed temperature and precipitation data available. How can the climate change impact be established using observed data ?
Research Questions or Hypotheses:
· Are there any change in climatic variable, if yes what are and how?
· Which are the area under flood or waterlogging or both, what are the causes of it.
· Who are vulnerable to climate change, flood and waterlogging and how they are vulnerable.
· What are the copping mechanism of the community?
· What are the mitigation measure undertaken by the community?
· What ate the adaptive strategy at individual, Household and community level.at the
what method; be it statistics, mathematical or modeling approach can I use to determine the part of a basin/watershed that is most affected by the combined impact of climate and land use change or their individual impact
Trying to define a climate variability baseline and wanted to know if there are best practices or common methods. I have about 50 years of climate data with maximum and minimum temperatures.
I want to ask you if it is possible to use TRMM data only for analysis of precipitation over arid areas, and if it possible,I have an inquiry about the applicability of the TRMM data to the flash flood simulation where the time scale of flood simulation is several hours, while TRMM data is 3-hr interval.
The climate related events can be either extreme events or slow onset events. In addition there are changes in the usual weather pattern. The frequency and incidence of extreme events have been increasing during the recent decades.
What would be the possible approaches / methodologies for quantifying the influence of climate change on the intensity or frequency of climate related events?