Regarding each of your three Part 1 scenarios for [CO2] in 2100:Estimate the temperature change viaEBCM for each scenario. (To make use of EBCM, make a copy of the spreadsheet provided. Adjust only th
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Regarding each of your three Part 1 scenarios for [CO2] in 2100:
- Estimate the temperature change viaEBCM for each scenario. (To make use of EBCM, make a copy of the spreadsheet provided. Adjust only the temperature-difference value in cell I6 to obtain the desired [CO2] value in cell D8.)
- On a copy of the “2. Future Warming Pathways” graph from the AGU’s selection offive graphs from the recent IPCC assessment (AR6), plot your three estimates for 2100, and identify the corresponding emissions scenario.
- Using a copy of the “4. Annual Carbon Dioxide Emissions” graph from the AGU’s selection offive graphs from the recent IPCC assessment (AR6), estimate the CO2 emissions for 2100 in GtCO2/yr corresponding to each of your three scenarios.
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Regarding the potential for a ‘COVID-19 anomaly’ at York U in 2021:
- Based on the calculatorhere, when does the maximum UV Index value occur?
- Using Figure 1(b) from the research publicationhere, estimate the maximum value of the increase in DWSW irradiance at the same date as the UV Index maximum in W/m2.
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Obtain theEMOS irradiance data corresponding to this same date.
- State the maximum value of the DWSW irradiance in W/m2.
- Add the increase in DWSW irradiance from the research publication to your EMOS data to determine the percentage increase. (This is COVID-19 anomaly in terms of DWSW irradiance at EMOS.)
- Subtract the percentage increase in the DWSW irradiance data from cell I8 of the EBCM model. (Ensure your temperature calculations have been zeroed out in EBCM – i.e., cell I6 has been reset to 0.)
- State the resulting temperature change determined by EBCM from cell D6. (Ignore the change in [CO2].)
- How does your EBCM temperature estimate compare with Figure 1(c) of the research publication?
- How does Figure 1(a) from the research publication factor into this COVID-19 anomaly scenario?
- In his recent book, Bill Gates stated: “… the world’s greenhouse gas emissions probably dropped just 5 percent, and possibly less than that. What’s remarkable to me is not how much emissions went down because of the pandemic, but how little.” Does Gates’ notion of what’s remarkable apply to your analysis? Explain.
Regarding each of your three Part 1 scenarios for [CO2] in 2100:Estimate the temperature change viaEBCM for each scenario. (To make use of EBCM, make a copy of the spreadsheet provided. Adjust only th
1 . R eg ard in g W ate r V ap or: 1 . C hara cte riz e t h e a b so rp tio n s p ectr u m o f w ate r v ap or i n t h e I R p ortio n o f t h e E M s p ectr u m . T he a b so rp tio n s p ectr u m f o r w ate r v ap or c o nta in s v ario us b ro ad a b so rp tio n p eak s i n t h e i n fra re d p ortio n o f t h e s p ectr u m a n d t h ey a re a p pro xim ate ly a t 0 .8 , 0 .9 , 1 2 , 3 a n d 6 m ic ro m ete rs o n t h e w av ele n g th s c ale . A ddit io nally , t h ere i s b ro ad ban d s ta rtin g a t 1 2 m ic ro m ete rs t o 2 0 m ic ro m ete rs . T his m ean s t h at w ate r v ap or h as t h e a b ility t o a b so rb r a d ia tio n i n t h e i n fra re d p art o f t h e s p ectr u m . 2 . B ase d o n t h is c h ara cte riz a tio n , i s w ate r v ap or c o n sid ere d a ‘ g re en hou se -a ctiv e g as’? Y es, w ate r v ap or i s c o nsid ere d a ‘ g re en house -a ctiv e g as’. 3 . A ssu m e: “ F or a n y g iv en t e m pera tu re , E arth ’s a tm osp here h as a f in it e c a p acit y t o ‘ c a rry ’ w ate r v ap or.” I d en tif y a t l e a st t w o p ro cesse s t h at s e rv e t o ‘ r e g u la te ’ t h e a m ou nt o f w ate r v a p or i n t h e a tm osp here . T he f ir s t p ro cess i s t h e t e m pera tu re o f t h e s u rro undin g a tm osp here a n d t h e s e co nd o ne i s r e la tiv e h um id ity . 4 . B ase d o n t h is i n vestig atio n , w hat a re t h e i m plic a tio n s f o r w ate r v ap or a s a n a gen t o f c lim ate c h an ge? F ro m t h e p re v io us a n sw er, t e m pera tu re c o ntr o ls t h e a m ount o f w ate r v ap or i n t h e s u rro undin g a tm osp here . I f t e m pera tu re c h an ges d ue t o c lim ate c h an ge, s o d oes t h e a m ount o f w ate r v ap or a s i t i s c o rre la te d . 2 . R eg ard in g C arb on D io xid e: 1 . C hara cte riz e t h e a b so rp tio n s p ectr u m o f C arb on D io xid e i n t h e I R p ortio n o f t h e E M s p ectr u m . T he a b so rp tio n s p ectr u m f o r C arb on D io xid e h as m an y b ro ad a b so rp tio n p eak s i n t h e i n fra re d p ortio n o f t h e s p ectr u m . w hic h a re a p pro xim ate ly a t 3 , 4 , 5 a n d 1 4 m ic ro m ete rs o n t h e w av ele n gth s c ale . A ddit io nally , t h ere i s a b ro ad ban d s ta rtin g a t 1 4 m ic ro m ete rs t o 1 9 m ic ro m ete rs . T his m ean s t h at C arb on D io xid e h as t h e a b ility t o a b so rb r a d ia tio n i n t h e i n fra re d p art o f t h e s p ectr u m . 2 . B ase d o n t h is c h ara cte riz a tio n , i s C arb on D io xid e c o n sid ere d a ‘ g re en hou se -a ctiv e g as’? Y es, C arb on D io xid e i s c o nsid ere d a ‘ g re en house -a ctiv e g as’. 3 . S ta te t h e p erc en ta ge o f C O 2 i n t h e V en utia n a n d M artia n a tm osp here s. T he C O 2 p erc en ta g e i n t h e V en utia n a tm osp here i s r o ughly 9 5% a n d i n t h e M artia n a tm osp here , t h e p erc en ta g e i s r o ughly 9 2% . 4 . R esta te y ou r L ab 1 , P art 1 e stim ate f o r t h e c u rre n t v alu e f o r t h e [ C O 2]. B ase d o n t h e d ata f o und i n L ab 1 , P art 1 , t h e e stim ate f o r t h e c u rre n t v alu e f o r [ C O 2] i s 4 17ppm . 3 . C om pare a n d c o n tr a st w ate r v ap or a n d C arb on D io xid e: 1 . C an a s in gle a b so rp tio n b an d d is tin gu is h b etw een w ate r v ap or a n d C arb on D io xid e? T hro ugh m y s k etc h es, t h e t w o f o rm s o f g ase s ( w ate r v ap or a n d c arb on d io xid e) c an b e d if f e re n tia te d . C heck in g t h e s k etc h f o r w ate r v ap or, t h e p eak s o f t h e w av ele n gth a re f u rth er a p art m ean in g t h at t h e b ro ad ban d r a n ge i s a b out f iv e m ic ro m ete rs . H ow ev er, l o okin g a t t h e s k etc h f o r c arb on d io xid e, t h e w av ele n gth s a re c lo se r t o geth er m ean in g t h at t h e b ro ad ban d r a n ge i s a b out e ig ht m ic ro m ete rs . 2 . H ow d oes u se o f t h e e n tir e a b so rp tio n s p ectr u m f o r e a ch o f t h ese g ase s a ffe ct y ou r a b ilit y t o m ak e a c le a r d is tin ctio n ? T he r ic e m odel i n dic ate s t h at e v en t h o ugh w ate r v ap or a n d c arb on d io xid e a re i n t h e s a m e f a m ily , t h ey b oth s till h av e q uite d if f e re n t c h ara cte ris tic s s u ch a s t h eir i n fra re d a b so rp tio n l e v els . T his c an b e c o m pare d t o t h e r ic e m odel i f w ate r v ap or w as r ic e a n d c arb on d io xid e w as n oodle s. A lt h ough b oth r e q uir e w ate r a n d h eat, t h ey c o ok d if f e re n tly 3 . E xp la in t h e o n goin g a n d p re ssin g c o n cern w it h a n th ro p ogen ic e m is sio n s o f C arb on D io xid e r e la tiv e t o w ate r v ap or. C ookin g r ic e i s v ery l in ear a s t h ere a re o nly 3 f a cto rs i n volv ed : w ate r, r ic e a n d h eat. I f c arb on d io xid e w ere n oodle s a n d w e a d ded t h at t o t h e p ot o f r ic e, i t w ould b e v ery d if f ic u lt t o t r y t o c o ok b oth p erfe ctly a s t h ey h av e d if f e re n t p ro pertie s. T he s a m e g oes f o r w ate r v ap or a n d c arb on d io xid e i n t h e a tm osp here , w here f in din g a b ala n ce b etw een e sp ecia lly w ith a n th ro pogen ic e m is sio ns o f c arb on d io xid e i s d if f ic u lt.
Regarding each of your three Part 1 scenarios for [CO2] in 2100:Estimate the temperature change viaEBCM for each scenario. (To make use of EBCM, make a copy of the spreadsheet provided. Adjust only th
Q1. Regarding palaeoclimatological data that includes measur ements of [CO2] for at least the past 100,000 years 1. Obtain and identify the sour ce of this data. Share a view of the data in your submission. Data obtained from: https://www .bas.ac.uk/wp-content/uploads/2015/04/003.jpg 2. Briefly , how ar e [CO2] measur ements extracted fr om the data? The European Project for Ice Coring in Antarctica (EPICA) extracted the data by drilling the ice core from Dome C on the Antarctic Platea 3. Fr om the data, estimate the minimum, maximum, and average values [CO2] over a time interval of your choosing that is cover ed by the data Measuring from 800,000 years to 0 years Max. value = 300 ppmv Min. value = 170 ppmv A vg. value = (300 ppmv – 170 ppmv) / 2 + 170 ppmv = (130 ppmv) / 2 + 170 ppmv = 235 ppmv 4. Based upon the average value, estimate the [CO2] in 2022 (pr esent) and 2100 (future) 5. 2022 – 235 ppm ± 2100 – 235 ppm ± Q2. Regarding Mauna Loa Observatory data for the [CO2] at present and in ‘recent’ past 1. State the curr ent value for [CO2]. Convert this value to a per centage. August 2022: 417.19 ppm August 2021: 414.47 ppm 1ppm = 0.0001% %=417/10000 =0.0417 417.19 ppm = 0.041719 2. Qualify the pr oportion of Earth’ s atmosphere that is [CO2] in r elative terms. (Feel fr ee to intr oduce an analogy , for example – other than one based on counting Smarties!) Driving one million kilometers, 417.19 of those kilometers will be the concentration level of carbon dioxide ([CO2]). And is equivalent to the drive from Barrie, Ontario, to Ottawa, Ontario. 3. What does your intuition suggest about this pr oportion in the context of climate change? Why? . I think the concentration level of Carbon dioxide in the atmosphere is very high. In examining, we get 417.19 ppm translating to 0.041719%, which is a low number . But, it is the opposite which can be alarming. For instance, due to the increase of [CO2] in the atmosphere, glaciers are melting, which may cause endangerment to arctic life 4. Using one of the Keeling Curves 1. Estimate the curr ent value for the [CO2]. According to the black curve, the estimate for [CO2] in 2020 is 417.5 ppm 2. Choose a time in the past that is cover ed by the curve and estimate [CO2]. According to the black curve, the estimate for [CO2] in 2020 is 413 ppm. 3. Using your past and pr esent estimates for the [CO2], estimate the gr owth rate for this gas in our atmosphere. 2022 – 417.5 ppm 2020 – 413 ppm Slope = Rise / Run = (417.5 ppm – 413 ppm) / (2022-2020) = 4.5 ppm / 3 years = 1.5 ppm/year 4. Based on this gr owth rate, estimate [CO2] in 2100 CO2] in 2100 = 1.5ppm/year * 79years = 1 18.50 ppm Regarding the AGU’s selection offive graphs fr om the recent IPCC assessment (AR6) Using the first graph fr om point 5 on “Carbon Extraction.” It is estimated that [CO2] in 2100 will be 500 ppm. 1. Choose one of the emissions scenarios depicted in the point 4 graph: 1. Estimate the [CO2] in 2100. It is called 550ppm 2. Using your own words, explain what is being measur ed on the vertical axis of this figur e. The quantity of CO2 emissions being measured every year . 3. Relative to today , quantify the per centage change by 2100 for the scenario you chose. Case: Very high emissions 2020 = 40 GtCO2/yr 2100 = 125 GtCO2/yr % Increase = (40 GtCO2/yr + 125 GtCO2/yr) / 40 GtCO/yr = 165 GtCO2/yr / 40 GtCO2/yr =126% increase from 2020 to 2100 for ‘very high emissions case 4. Pr ovide a simplified pr ocess-flow diagram that captur es this result.

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