Showing posts with label engineering climate datasets. Show all posts
Showing posts with label engineering climate datasets. Show all posts

Annual Maximum Rainfall Trends in Canada - Environment and Climate Change Canada's Updated V3.20 Datasets Show Few Significant Trends

Previous posts have presented overall trends in annual maximum observed rainfall amounts at Canadian climate stations (link: https://www.cityfloodmap.com/2020/12/design-rainfall-trends-in-canada.html).

Environment and Climate Change Canada (ECCC) periodically updates trend analysis on the annual maximum series (AMS) for each station, and these series are used to derive design intensities, i.e., Intensity-Duration-Frequency curves. Data area available here (link):  https://climate.weather.gc.ca/prods_servs/engineering_e.html

In May 2021 additional analysis has been included in these Engineering Climate Datasets. The "Whats_New_EC_IDF_v3-20.pdf" file includes a summary table that provides counts of stations and additional station years added with recent update:

The v-3.20 update adds 490 station-years of data. There are currently 17,133 station-years of data. The average length of record is 25.3 years. This represents a slight decrease in record length compared to 25.5 years in v-3.10, as new short record stations are factored in.

Trends in annual maximum rainfall have not change all relative to the 2020 v-3.10 data. The majority of station data show no statistically significant trend. The table below compares trends in earlier datasets, averaged across all durations. 

Trend in Maximum Rain    v3.20       v3.10       v3.00         v2.30

Significant Increase              4.16%     4.28%       4.18%        4.09%

Significant Decrease             2.25%     2.24%       2.33%        2.30%

No Significant Trend          85.73%    85.80%     85.55%      86.37%

No Calculation                      7.86%      7.68%       7.94%        7.24%

 

The v-3.20 datasets  have the following trends within various durations:


Excluding 'No Calculation" data, annual maximum observations with 'No Significant Trend' represents 92-94% of series, with an average of 93.0%. Excluding the 'No Calc' data results in an average of 4.5% significant increases and 2.5% significant decreases.

The following chart shows that majority of station data show no statistically significant trend.



There has not been any appreciable change in the annual maximum rainfall trends considering earlier datasets (see v-2.30 to v-3.00 update https://www.cityfloodmap.com/2020/02/annual-maximum-rainfall-trends-in.html)

In Canada, the number of stations with annual series used to derive extreme rainfall statistics continues to increase. A previous post explored how manually-operated climate stations have been declining while this increase occurs (link: https://www.cityfloodmap.com/2020/06/do-we-have-enough-climate-stations-in.html). In 1990 there were only 11,268 station-years of data. Today with 17,133 station-years of data we have 52% more information to guide assessments of extreme rainfall.  

This table summarizes the rise in climate station count and rise in station-years as new data is added.


Some have confused the decline in manual stations with a decline in overall data (see the above post). This chart shows the rise in climate stations with IDF data used for engineering design (orange lines), along with the decline in manual station data (blue bars).






How Have Rainfall Intensities Changed in Canada Over the Past 10 Year? Not Much. Extreme 100-Year Rainfall and Short Duration Intensities Causing Flooding Are Lower

Environment and Climate Change Canada's Engineering Climate Datasets including rainfall intensity duration frequency (IDF) statistics are regularly updated as observation records become longer, and more and more stations have sufficient data to analyze.

What do the recent updates show? There is no new normal in design rainfall intensities.  Over the past 10 years, the severity of extreme rainfall has decreased on average.

Short duration sudden rainfall rates responsible for flooding in urban areas have also decreased overall - only the frequent, low intensities show an overall increase, which can be expected given additional precipitation in Canada. Of course some regions may have different trends (a previous post has shown that the southern Ontario frequent intensities (i.e., 2-year return period) have decreased).

Where do design intensities, the statistics in IDF curves and tables, come from?

Annual maximum series (AMS) of recorded rain intensity are collected for duration intervals of 5 minutes to 24 hours.  These series are used to derive probability density functions to describe the frequency distribution of rainfall, and that can be used to determine specific 'return period' design intensities.  The return period is the inverse of the probability of a rainfall intensity (or volume) over a certain duration occurring during a given year.  So a 100-year intensity has a 1/100 or 1% chance of being exceeded each year, while a 2-year intensity has a 1/2 = 50% chance per year. Storm sewers are designed to convey 2, 5 to 10-year return period rain intensities - 5-year is most common.  Flooding, especially extreme flooding, occurs at higher return periods becoming more severe above the 25-year return period and increasing for 50 and 100-year intensities.

The recent version 3.10 update to IDF statistics analyzes rainfall data up to 2017.  These intensities can be compared to the version 2.00 datasets that included data up to 2007.  A total of 226 stations were analyzed to check for changes in intensity - this total includes about 72 stations that have been relocated, but by not more than 5 km from their previous location.  The same trends are apparent for all the exact match stations (92 stations) and stations with new IDs but unchanged coordinates (154 stations).

The following chart shows the ratio of new intensities to old intensities for these 226 stations, so 1.0 means no change in design intensities.

Extreme Rainfall Trends in Canada - Design Intensities by Duration and Return Period

What are the take-aways?

1) rainfall design intensities are generally unchanged over the past 10 years, considering 3313 station-years of additional data,

2) extreme rainfall intensities, the 100-year rates (red markers in the chart), have decreased - the shortest duration intensity governing urban flood risk has dropped the most,

3) short duration intensities that govern sewver design, 5-year return period intensities (purple markers) over 5-minute to 2 hour durations are unchanged on average,

4) 2-year intensities (green markers), the low intensity rainfall that is exceeded in 50% of years, has increased slightly - these intensities do not govern infrastructure design and are unrelated to urban flash flooding or flood damages.

Popular media has focused on theoretical changes in rainfall intensity, sometimes confusing those projections with actual changes in rainfall intensity that have been measured or observed.  See this review of recent CBC coverage in the Financial Post.  Increasing damage amounts are erroneously linked to changes in rainfall due to a changing climate.

If popular media were to focus on observed data, and actual trends in extreme rainfall statistics, like the trends reviewed above, it would have to temper claims of a new normal in extreme weather.  Data do not show increases the critical rainfall intensities - in fact, on average, extreme intensities have decreased.

Changes in v2.00 to v3.10 dataset intensities are shown in the tables below.

Severe rainfall trends in Canada due to climate change
Extreme Rainfall Trends in Canada - Engineering Climate Datasets - IDF Curves


The analysis above is based on assessing the effect of adding additional data to the v2.00 IDF data intensities.  It is also possible to assess the effects of new data by splitting the series into old and new halves to compare IDF intensities and look for trends.  The following charts show the change in two long-period climate stations in the Toronto area.   Rainfall volumes are shown for a 24 hour period - intensities would be simply the volumes divided by 24 hours.

Toronto Pearson International Airport Climate Station - Changes in 24 Hour Rainfall Frequencies

For the Toronto Pearson International Airport climate station, the return periods of the old period volumes (blue line) have shifted right in the new data set, meaning longer return periods for a given volume, i.e., lower frequency.

The chart also compares how a climate model has predicted return periods have changed from 1961 to 2010, covering approximately a similar period.  Those model frequency shifts were reported by the CBC (link: https://www.cbc.ca/news/technology/extreme-rainfall-climate-change-1.5595396) and considered a 1 degree warming scenario. The climate model predicts lower return periods for a given volume, meaning that volume occurs more frequently - that is not consistent with observed local data at this station that has shown significantly longer return periods in the new period.

Toronto City Climate Station - Changes in 24 Hour Rainfall Frequencies

For the Toronto City (downtown) climate station, the return periods of the old period volumes (blue line) have shifted slightly right in the new data set, meaning slightly longer return periods for a given volume, i.e., slightly lower frequency.

The chart again compares climate model return periods for 1961 to 2010.  Again, the model, which represent a large area, and not necessarily the specifics of the Toronto area predicts lower return periods for a given volume, meaning that volume occurs more frequently - that is not consistent with observed local data at this station that has shown no significant change.

It is possible to look at the change in intensity as opposed to the change in frequency.  The following chart for Toronto Pearson International Airport climate station presents the same data but expresses the changes in terms of intensity, as opposed to frequency.

Toronto Pearson International Airport Climate Station - Changes in 24 Hour Rainfall Volumes
Often you can read in media reports that both the frequency and intensity increased over time - this is a peculiar way to express changes as that data can be used to show a change in one or the other but realistically not both at the same time.  To show the change in frequency and the change in intensity would mean allocating the change in some proportion to the two.

***

Do we have enough weather stations to analyze trends in observations - yes! - we are getting more and more stations and data over time - see previous post regarding additional Environment Canada stations since 1990.

In addition, municipalities are adding 100's of stations to support local studies as described in another post. More rain intensity data than ever before.

Although the data shows less extreme rainfall in Canada, some confuse models that predict future conditions and measured data.  The CBC misinterpreted a model predicting that 50 year storms would happen every 35 years in a time period out to 2015, and reported that this projections has already happened - read more about that here.

Annual Maximum Rainfall Trends in Canada - Engineering Climate Datasets v3.00 and 2.30 Comparison

This blog has reviewed annual maximum rainfall series trends in the past, including all the v2.30 Engineering Climate Dataset trends across Canada.  Also v3.00 trends for stations with long term records and southern Ontario derived IDF trends for long-term stations.

Overall most trends are not statistically significant and the few percentage of significant increases and decreases can be explained largely by chance.  The follow charts compare the trends for all Environment and Climate Change Canada's Canadian stations using the v2.30 data and the newest v3.00 data release in winter 2019.

Maximum rainfall trends in Canada.  Environment and Climate Change Canada's Engineering Climate Datasets.
What do the charts show? Not much change after adding 15% more stations and up to 10 years more data. The following tables illustrate the percentages of significant ups and downs (red and green bars), non-significant changes (the grey bars) and no data (not shown in the charts).

Maximum rainfall trends in Canada - Direction and Statistical Significance.  Environment and Climate Change Canada's Engineering Climate Datasets v2.30 and v3.00 Comparison.
The data show that in v2.30 over 86% of trends were not significant. In v3.00 a bit fewer statistics were non-significant.  The increase in statistically significantly trends was 0.09%.  The increase insignificantly significant decreases was 0.03%.  These are essentially zero changes.

Nationally, there are more significant increases than decreases. Some regions, however have trends that go against these averages.  In southern Ontario, there are a few more decreases than increases, but twice as many statistically significant decreases than increases:


  • Decreasing annual maximum rainfall volumes over all durations 5 minutes - 24 hours   = 43.4%
  • Zero trend in annual maximum rainfall volumes over all durations 5 minutes - 24 hours =   4.3%
  • Increasing annual maximum rainfall volumes over all durations 5 minutes - 24 hours     = 42.1%
  • Number of statistically significant decreases = 12
  • Number of statistically significant increases = 6






  • IDF Updates for Southern Ontario Show Continuing Decrease in Extreme Rainfall Intensities Since 1990 - Environment and Climate Change Canada's Engineering Climate Datasets Version 3.0

    The Annual Maximum Series (AMS) charts in a recent post show updated trends in observed maximum rainfall volumes over various durations. Design rainfall intensities, equivalent to volumes over the various durations, are derived by fitting a statistical distribution to the observations, resulting in intensity-duration -frequency (IDF) values presented in tables and charts for each climate station. A previous post examined trends in IDF values for long-term record stations in southern Ontario based on 1990 to version 2.3 values (updated to 2001 to 2013 data) - see link - the overall decrease in intensities was 0.2 percent with more frequent, small return period, values decreasing the most.

    The extended, updated version of Environment and Climate Change Canada's Engineering Climate Datasets has IDF values based on data up to 2017 and was released in March 2019. Information is available from the Environment and Climate Change Canada's ftp site through this link on their website.

    Again we can compare design intensity values from 1990 with the current, updated values and determine if older design standard values are appropriate and conservatively above today's values or if updates to standards are required to reflect more intense rainfall rates. For this review, 8 of the 21 stations have had updates to IDF values since the version 2.3 datasets. The average length of record increased from 42 to over 46 years, averaged across all stations and statistics. The charts below show the average change in intensity for all durations grouped together (top chart Figure 1) and considering variations across durations (bottom chart Figure 2).

    Figure 1 - Average Change in Southern Ontario IDF Values for Engineering Design by Return Period - Record-Length Weighted Changes Between 1990 and Version 3.0 Datasets for 21 Climate Stations with Long Term Records

    Figure 2 - Average Change in Southern Ontario IDF Values for Engineering Design by Duration and Return Period - Record-Length Weighted Changes Between 1990 and Version 3.0 Datasets for 21 Climate Stations with Long Term Records
     Observations are that:

         Rainfall intensities are decreasing even further than in the last review.
         The changes in IDF values based on more recent observations are very small and reflect only minor random ups and downs - changes in IDF values due to assumed statistical distribution selection are greater than observed rain data changes. No “new normal” or “wild weather” due to a changing climate.
         Frequent storm intensities (those used for most storm sewer design) are decreasing for all durations.
         The more frequent the storm the greater the decrease in design intensity.
         Rainfall intensities are decreasing more for short durations than longer ones (see short duration red and orange bars in Figure 2).
         Less frequent, severe storm intensities (25 year to 100 year return periods) are deceasing on average.
         Severe storm intensities are decreasing most for short durations.

    The following tables summarize values in the above charts. Note that the chart data is weighted by record length so that longer trends are given proportionately more weight. The tables show both weighted and unweighted values -giving more weight to longer record stations results in a greater overall decrease in IDF rainfall intensity statistics.

    Table 1 - Trend in Southern Ontario Intensity Duration Frequency Values for 21 Long-Term Climate Stations, Weighted by Record Length - 0.4 Percent Average Decrease in Intensities 
    Table 2 - Trend in Southern Ontario Intensity Duration Frequency Values for 21 Long-Term Climate Stations, Not-weighted by Record Length - 0.2 Percent Average Decrease in Intensities
    What does this mean for engineering design? In general, older design IDF values or curves are conservative reflecting older, higher observed rainfall intensities. Infrastructure designed to older standards will be slightly more resilient today, having a marginally greater safety factor and higher performance under today's extreme weather conditions. Older infrastructure may be stressed by hydrologic or hydraulic factors, or intrinsically lower design standards - see previous posts here on hydrologic factors including at many southern Ontario cities in this post. How the updated values affect municipal engineering design is shown below on an annotated Table 1.

    Table 1 Annotated - What has changed? What are IDF values used for? What does this mean for municipal infrastructure engineering design and resilience of sewer and pond designs?
    The implications for municipal infrastructure design based on governing durations and frequencies are annotated around the first table. This shows that:
         storm sewers, designed to convey high frequency, short duration intensities, are facing lower rainfall intensities since 1990;
         major drainage systems designed for low frequency longer durations (because critical conveyance segments are often lower in the system where times of concentration are longer) are facing no change in design rainfall intensity;
         storm water ponds designed to hold low frequency, high return period, long duration storms are facing no change in design rainfall volumes.

    This just reflects historical trends in southern Ontario, so how about future changes under climate change that should be considered in design? After all, Bill 138’s Planning Act amendments and O.Reg.588/17 require municipalities to identify how they will accommodate climate change effects in infrastructure policies and plans.

    The American Society of Civil Engineers ASCE has created a guide that can be considered and that classifies infrastructure by it's criticality, based on potential loss of life and economic impact as well as the service life of the asset to determine an approach for addressing potential future climate change effects. The guide is "Climate-Resilient Infrastructure: Adaptive Design and Risk Management". One of the principles is that given uncertainty with future climate, one may design with today's climate if the risk class is low, as long as future adaptation is feasible. The guide also promotes an approach called the Observational Method (OM), defined as follows:

    "The Observational Method [in ground engineering] is a continuous, managed, integrated, process of design, construction control, monitoring and review that enables previously defined modifications to be incorporated during or after construction as appropriate.All these aspects have to be demonstrably robust. The objective is to achieve greater overall economy without compromising safety."

    The OM approach has been adapted by ASCE to designing climate resilient infrastructure and has the following steps:

    1. Design is based on the most-probable weather or climate condition(s), not the most unfavorable and the most-credible unfavorable deviations from the most-probable conditions are identified.

    2. Actions or design modifications are determined in advance for every foreseeable unfavorable weather or climate deviation from the most-probable ones.

    3. The project performance is observed over time using preselected variables and the project response to observed changes is assessed.

    4. Design and construction modifications (previously identified) can be implemented in response to observed changes to account for changes in risk.

    For new subdivisions, adaptation/modifications noted in the last steps could be implemented in the future if rainfall intensities increase. Some relatively minor local system modifications representing adaptation activities could include:


         adding or modifying storm inlets with control devices to limit capture into the storm sewer (upstream of where future HGL risks are predicted);
         adding plugs to sanitary manhole covers to limit inflows (where significant overland flow spread and depth is predicted);
         modifying the outlet of stormwater ponds to optimize storage for larger storms (e.g., add intermediate-stage relief components to limit over control);
         increasing the capacity of overflow spillways in stormwater ponds to convey larger storms that cannot be stored (e.g., widen or line with erosion protection to a higher stage);
         increase pond storage capacity through grading of side slopes (e.g., steeper slopes or steps/walls) at time of sediment removal/cleaning (NB - slope material may be used to bulk up high moisture content sediment to accelerate cleaning schedule);
         sump pump disconnection of gravity drained foundation drains (weeping tiles) for lowest, at risk basements where insufficient freeboard exists to future higher HGL.

    In addition, property owners in any areas of increased risk could be made aware of those and be encouraged to raise insurance coverage limits or consider lot-level flood proofing as well. The benefits of the ASCE's stated OM approach is that it can accommodate future climate change effects without over-designing or over-investing in today’s infrastructure. This is feasible if future adaptation opportunities exist in today's design and if new subdivisions have a relatively high level of resilience already (i.e., safety factors, freeboard values, redundancy, conservative design parameters) such that future changes do not drop effective performance in most areas across a system into a realm where damages will occur. There may be risks in critical sections of the infrastructure system that where designed to the limits of current standards.

    Considering an OM approach for southern Ontario climate resilience we are in an observation stage (Step 3) now, having skipped Step 1 and designed most systems for historical IDF characteristics, and not having considered adaptation measures in advance (Step 2). Given that rainfall intensities have not changed, the project performance will not have changed since the system was originally designed with historical IDF values. Therefore no modifications/adaptations are required to account for rainfall trends. It is unlikely that performance variation in a new subdivision could be confidently determined for decades given that the chances of experiencing an event that tests design performance are low. Any performance monitoring may have the co-benefit of informing the baseline performance under historical design standards, as explicit consideration of safety factors is not common, and it is possible that modern systems are exceeding their intended capacity and performance level due to these intrinsic design safety factors. 

    For retrofitting older infrastructure systems, the IDF data is not as critical in determining risk as is the selection of a design hyetograph that will use this data. Most older systems have level of service gaps for yesterday’s and today's climate and extreme weather, leading to current flood risks.

    Looking at the OM approach for retrofitted systems, the noted changes in southern Ontario IDF values since 1990 will have no bearing on performance and flood risks and would not trigger project modifications/adaptation. Some conservative design hyetographs used in retrofit analysis do incorporate a safety factor that could account for future climate effects as well as other hydrologic (e.g. antecedent conditions) or operational uncertainties (e.g. local blockages, clogged grates). For example, some municipalities use a Chicago storm distribution that is conservative in terms of system response - this was examined in detail in this WEAO 2018 Conference Paper and presentation. That type of conservative design hyetograph pattern could limit the project response to future IDF changes experienced under less extreme real storm patterns.

    What is more uncertain perhaps, at that requires observations, is the baseline performance of the retrofitted system and how well it mitigates flood risk given the diverse range of failure mechanisms possible. That is, infrastructure upgrades on the public collection system will not alleviate lot-level risks that remain, resulting in baseline performance gaps regardless of changes in IDF values or baseline system design. This should be an area of future research, i.e., to quantify baseline mitigation effectiveness (i.e., performance) - as many factors affect performance and occur together at the same time, it may be difficult to separate out what performance variations are due to weather variations versus other factors. For example, real storms have a significant spatial and temporal variability compared to simplified design assumptions (typically spatially and temporally uniform rainfall) - this was explored at a recent National Research Council workshop on urban flooding (see slides 17-19 for a recent example of real-world temporal and spatial variability compared to design assumptions).  Nonetheless, an observed gap in performance regardless of the cause can trigger adaptation/modifications to restore performance of a project to its intended level of service. This would likely be possible only if performance is significantly below expectations.

    ***

    Other related posts and links:
    1. CBC Ombudsman's scathing ruling on journalistic standard violation regarding extreme rainfall reporting - link,
    2. CBC Radio Canada interview on the importance of data and gaps in media reporting - link,
    3. Financial Post OpEd on insurance industry claims correlating flood losses to extreme weather trends - link,
    4. Water Environment Association of Ontario (WEAO) Influents magazine article on flood risk drivers - link,
    5. National Research Council national workshop presentation on extreme rainfall trends (this inspired the southern Ontario IDF review in this and earlier posts) - link,
    6. WEAO OWWA joint climate change committee presentation on flood risk factors including IDF trends and hydrologic factors - link,
    7. Review of “Telling the Weather Story” report citing theoretical IDF shifts as real Environment and Climate Change Canada data - link,
    8. “Thinking Fast and Slow on Floods and Flow” exploring heuristic biases in framing and solving problems surrounding extreme rainfall and flood risks - link.

    Extreme Rainfall Trends Toronto and Mississauga - Extending Annual Maximum Series with Environment Canada Data

    Environment and Climate Change Canada (ECCC) updates the Engineering Climate Datasets periodically including annual maximum series (AMS's) that reflect annual rainfall extremes over various durations, and also the derived rainfall statistics (intensity-duration-frequency (IDF) curves)) used in engineering design.

    Municipalities updating their design standards and practitioners involved in hydrotechnical studies can wait for official updates or complete them in-house. Raw data is available from Environment Canada for a small fee, and can be screened for data gaps / errors and then processed to identify the maximum rainfall each year over the standard periods of 5 minute to 24 hours.

    To review local design standards to account for any changes in rainfall intensity, my work team obtained raw data for the Pearson Airport and Toronto City (Bloor Street) climate stations in late 2017 to extend the ECCC analysis. The official Version 2.3 datasets extend to 2007 for Toronto City and 2013 for Pearson Airport - the added raw data extends to cover most of 2017 and 2016 respectively. After screening for anomalies, extended AMS's were analyzed using a Gumbel distribution to generate updated IDF curves.

    Selected AMS charts for Pearson Airport and Toronto City stations are shown below:

    Toronto City Maximum Annual 24-Hour Rainfall 1940-2017
    Toronto City Maximum Annual 1-Hour Rainfall 1940-2017
    Pearson Airport (Toronto International) Mississauga Maximum Annual 24-Hour Rainfall 1950-2016

    Pearson Airport (Toronto International) Mississauga Maximum Annual 1-Hour Rainfall 1950-2016
    Pearson Airport (Toronto International) Mississauga Maximum Annual 5-Minute Rainfall 1950-2016
    What do the charts show?
    • Long duration rainfall intensities are decreasing (24-hour period)
    • Moderate duration intensities are mixed up and down (1-hour period)
    • Short duration intensities are decreasing
    Note these are not strong trends, and for example the r-squared value for the 1-hour Pearson chart is only 0.002. A previous post shows what happens to design intensities based on these observed rainfall trends, although only using the ECCC datasets and not extended records - see previous post. This is a nice summary considering 21 stations in southern Ontario with over 30 years of record:

    Ontario IDF Trends for Extreme Rainfall Climate Change Effects

    We even have some records that go back 100 years like in Kingston, Ontario. Those trends charts show no change in annual extremes since the early 1900's:


    Colleagues share that ECCC is updating the analysis for about 100 station records later the year. We'll see if there is any change in AMS trends and significance and derived IDF values compared to the current Version 2.3 Engineering Climate Datasets.

    A recent op ed in the Financial Post suggests that analysis of data up to 2012 is not sufficient to assess rain trends as the CBC/Radio-Canada Ombudsman Guy Gendron recently did. Based on the analysis here, adding a few more years to the record is not going to change the overall picture. Its best to focus on other factors affecting flood risk and not the past rainfall trends in regions like southern Ontario. What are some of these other factors?

    1) Expanded urbanization as shown in this post showing southern Ontario urban area growth since the mid 1960's and also in this post quantifying urbanization in GTA watersheds,

    2) More extensive foundation underpinning, lowering some basements into harms way (closer to sewer back-up levels) as shown in this post on Toronto underpinning permits,

    3) System modifications to reduce overflows for environmental protection like in this post referring to infrastructure impacts in Toronto Area 32,

    4) Operational decisions that ignore known risks and put people in harm's way like in this post reviewing the July 8, 2013 GO Train flood in the Don River Floodplain,

    5) Encroachment on overland flow paths, i.e., lost rivers in urban areas, putting properties at risk of pluvial flooding as this presentation analyzing flooding within overland flow path areas in Toronto in the May 200, August 2005 and July 2013 storms.

    Detailed spatial analysis shows that most basement flooding can be explained by 2 factors of i) sanitary sewer inflow and infiltration rates (normalized for catchment area and design return period in a calibrated hydrodynamic model), and ii) the percent full of the sanitary sewers during extreme events - these 2 factors numerically explain over 60% of insurance back-up risks at a postal-code scale of accuracy.

    What does this mean? Municipalities need to i) reduce extraneous flows in a cost effective manner in the short term, ii) upgrade sanitary sewer capacity where residual flows are high compared to capacity, iii) upgrade critical storm sewers where design standards are limited and overland flooding stresses adversely affect properties (pluvial flooding at the surface, inflow stresses below the surface), iv) offer private property isolation subsidies (backwater valves and foundation drain disconnection) to provide timely cost-effective risk reduction.

    What to do where? It all starts with risk screening, as illustrated in our previous post describing tiered screening for riverine, sanitary and storm systems risks prepared for the Intact Centre on Climate Adaptation for their existing communities 'best practices' document, and another post describing such tiered screening with quantified risk factors prepared for Green Communities Canada's Urban Flooding Collective project.  What about a city-wide perspective on how much to budget for a comprehensive program of flood risk reduction incorporating these tactics? See a recent post that explored the cost-effectiveness of various municipal-wide strategies - look for more details at the 2019 WEAO Annual Conference, and look for even more in future national standards on benefit/cost analysis for flood mitigation we are developing for the National Research Council.

    Decrease in Southern Ontario Design Rainfall IDF Curves Matches Trends in Observed Storms - Decrease in Both Frequent and Rare Short Duration Intensities - Overall Decrease in Small Storms, Large Storms Mixed

    Are Ontario Rainfall Trends a Nothing-Burger?
    Read This Post and Find Out !
    Previous posts reviewed trends in observed maximum series of observed rainfall, showing more decreasing trends in Southern Ontario than increasing trends (see post). That observed trend analysis is part of  Environment and Climate Change Canada's Engineering Climate Datasets, Version 2.3. Design rainfall intensities are derived from these observations to create intensity-duration-frequency (IDF) curves, by fitting a probability distribution to the observations. A sample of the change in design intensities over time was presented at the National Research Council's February 27, 2018 Workshop on adaptation to climate change impact on Urban / rural storm flooding  (see slides 9 and 10):



    The sample IDF review showed no change in 2-year to 10-year return period intensities over durations of 5-minutes to 2 hours. The slide content was also featured in a previous post which includes links to the earlier 1990 datasets used in the comparison (for those who have thrown out those old 5 1/4 inch floppy disks with the 1990 data).

    This post shows the change in IDF values for these Southern Ontario climate stations for all durations and all return periods. The chart below summarizes the change in IDF values for the 21 stations, each with 30 years of record or more. It shows the range in IDF change for each return period, across all durations. The changes for each station have been weighted by the duration of the climate station record, so that a station with a record of 60 years is given double the weight of a station with 30 years of record.

    Ontario IDF Trends for Extreme Rainfall Climate Change Effects
    Southern Ontario IDF Trends - Decreasing Frequent Storm Intensity, Mixed Infrequent Storm Intensity, Overall Decrease in Average Rainfall Intensity Values for Engineering Design. 5-Minute to 24-Hour Durations.
    Looking into the details, the next chart shows the change in rainfall intensity for each duration within each return period as well.

    Ontario IDF Trends for Extreme Rainfall Climate Change Effects Details
    Southern Ontario IDF Trends - Decreasing Short Duration Storm Intensity (5 minutes - dark red bars), Decreasing Moderate Duration Storm Intensity (1-2 hours - green bars), Negligible Change in Long Duration Storm Intensity (12-24 hours - dark blue and purple bars).
    The take-aways from the IDF update comparison :

    i) small frequent storms (2-year, 5-year, 10-year return periods) used to design storm sewers, for example, are consistently smaller now than in the 1990 dataset,

    ii) large infrequent storms (25-year, 50-year, 100-year return periods) used to design major drainage systems and infrastructure networks are mixed with some increases and some decreases since 1990 but no appreciable change that would affect design (any changes are less than 1%, which is negligible in engineering design),

    ii) there is an overall average decrease in IDF values of 0.2 % across all return periods and durations.

    Percentage IDF change values shown in the detailed chart are summarized in the following table for 5-minute, 10-minute, 15-minute, 30-minute, 1-hour, 2-hour, 6-hour, 12-hour and 24-hour durations, and for 2-year, 5-year, 10-year, 25-year, 50-year, and 100-year return periods.

    Ontario IDF Update Trends in Rainfall Intensity and Frequency
    Southern Ontario Rainfall IDF Trends From 1990 to Current Version 2.3 Engineering Climate Datasets (Average Values for 21 Long-Term Climate Stations Below 44 Degrees Latitude - Individual Station Percentage Changes Factored by Length of Climate Station Record).
    Percentage IDF change values for 'unweighted' station changes (i.e., short records are given the same weight as long records) are summarized in the following table - same overall pattern as the record-length-weighted table above.

    Ontario IDF Update Trends in Rainfall Intensity and Frequency Unweighted
    Southern Ontario Rainfall IDF Trends From 1990 to Current Version 2.3 Engineering Climate Datasets (Average Values for 21 Long-Term Climate Stations Below 44 Degrees Latitude - Individual Station Percentage Changes Factored by Length of Climate Station Record).
    ***
    So what are we to make of this? The media, the insurance industry, and those who are exercising their 'availability' bias instead of looking at storm statistics, have regularly reported that storms are bigger, or more frequent, or both, but the local Ontario data shows the opposite (Northern Ontario will be a different story as AMS trends were up in the north, unlike the south). The Ontario government  website is even out of step with the data.

    The new Progressive Conservative government in Ontario has just renamed the Ministry of Environment and Climate Change the Ministry of the Environment, Conservation and Parks, taking out 'climate change', but the content under it has not been updated.

    Ontario Ministry of the Environment, Conservation and Parks replaces former Ministry of the Environment and Climate Change. New name but content still reflects climate change effects on storms that is inconsistent with data.
    If we look at rainfall trends in Southern Ontario it would seem appropriate to now de-emphasize the change in 'climate' or, regarding storms, the change in weather statistics. The current "MOECP" website reflects the earlier MOECC, and indicates that climate change has caused extreme weather issues in the province.

    Ministry of the Environment and Climate Change website links extreme weather with climate change.
    Specifically, the website indicated (as of July 2, 2018):
    "It damages your property and raises insurance premiums:
    • the severe ice storm in December 2013 resulted in $200 million of property damage in OntarioToronto lost an estimated 20% of its tree canopy during the storm
    • Intact Financial, one of Canada's largest property insurers, is raising premiums by as much as 15-20% to deal with the added costs of weather-related property damage
    • Thunder Bay declared a state of emergency in May 2012 after being hit by a series of thunderstorms, flooding basements of homes and businesses due to overwhelmed sewer and storm water system"
    While we cannot comment on ice storms, the official datasets for rain storms show no change, and therefore raised insurance premiums must be due to other factors instead of climate change. Blog readers will point to our review of  urbanization, intensification, etc. as a key cause.

    KPMG has also commented in "Water Damage Risk and Canadian Property Insurance Pricing" (2014) for the Canadian Institute of Actuaries that prior to 2013, flood insurance pricing was inadequate, so the 15-20% increase by Intact Financial is just catching up to the market pricing for that service. It also reflects the higher value of contents and finishing of basements that are flooded / damaged during extreme weather.

    TVO Articles on Climate Change, Extreme Rainfall and Urban Flooding Omit Basic Fact Checking and Ignore Fundamental Engineering Principles

    I have posted comments on three TVO Articles on the topic of climate change, extreme weather, urban flooding and resiliency of Ontario Cities. Readers of this blog will be familiar with the content. It gets a bit repetitive from article to article, only because the data gaps are the same old ones we always see on these topics.  BONUS: a recent TVO broadcast is reviewed at the end of this post.

    1) How climate change is making storms more intense, Published on Apr 21, 2017 by Tim Alamenciak

    https://tvo.org/article/current-affairs/climate-watch/-how-climate-change-is-making-storms-more-intense

    My Comments:
    This is absolutely incorrect. Environment and Climate Change Canada (ECCC) published in Atmosphere-Ocean in 2014 that there is "no detectable trend signal" in the Engineering Climate Datasets related to short-duration rainfall that causes urban flooding:


    Windsor has the lowest level of service for floodplain protection (100 year storm) while other regions have Hurricane Hazel (over 500 year storm) - so Windsor / Essex region will flood a lot more that other places. Also Windsor has been effectively tightening up their sanitary sewers to prevent spills to the river (reduced combined sewer overflows (CSOs)) which means more stays in the sewers and can back-up basements in extreme weather. Its a tough trade-off when environmental protection (keeping sewage out of the river) means more sewage in basements.

    This is a recent summary of ECCC data as well as studies my Ontario universities and major engineering consultants saying decreases in extreme rainfall in Ontario. In fact there are twice as many statistically significant decreasing trends as increasing ones in southern Ontario (per the version 2.3 Engineering Climate Datasets - links to ECCC data files are all provided on the slides:


    This presentation to the Ontario Waterworks Association and Water Environment Association of Ontario's Joint Climate Change Committee does extensive myth-busting related to extreme rainfall and flooding and explore the true drivers to increased flood events (spoiler-alert: its engineering hydrology and hydraulics, not meteorology). It also shows how the Clausius-Clapeyron relationship (theory relating temperature to extreme rainfall) has been disproved by research at MIT, Columbia and the University of Western. Unfortunately, there are lot of opinions and high level statements that are made without data. This is a pervasive problem in the media. When fact checking does occur, Advertising Standards Canada, the CBC Ombudsman and Canadian Underwriters have all agreed that there is no change to extreme rainfall. Here are some examples of that:

    More data / facts / details:

    Windsor decreasing extreme rainfall trends (Engineering Climate Datasets version 2.3 Station ID 6139525) - decreasing for ALL storm durations, and statistically significant decreases for durations of 10 minutes, 2 hours, 6 hours and 12 hours:


    CBC Ombudsman confirms with ECCC, and disputes insurance industry statements that we have more storms (see letter to me):

    http://www.cityfloodmap.com/2015/10/bogus-statements-on-storms-in-cbcnewsca.html

    That was in response to this story that had no fact-checking:


    And which had this correction made based on ECCC and real data: "However, Environment Canada says it has recently looked at the trends in heavy rainfall events and there were "no significant changes" in the Windsor region between 1953 and 2012." Canadian Underwriter editors dispute insurance industry statement on more frequent / severe storms after fact-checking with ECCC:


    "Associate Editor’s Note: In the 2012 report Telling the Weather Story, commissioned to the Institute for Catastrophic Loss Reduction by the Insurance Bureau of Canada, Professor Gordon McBean writes: “Weather events that used to happen once every 40 years are now happening once every six years in some regions in the country.” A footnote cites “Environment Canada: Intensity-Duration-Frequency Tables and Graphs.” However, a spokesperson for Environment and Climate Change Canada told Canadian Underwriter that ECCC’s studies “have not shown evidence to support” this statement."

    We can explain most increased flooding by hydrological changes over the past 100 years (same rain a before but more runoff than before as urban areas have expanded drastically across GTA watersheds over the past 60 years):

    http://www.cityfloodmap.com/2016/08/urbanization-and-runoff-explain.html

    ... and specifically here is are the changes in hydrology in southern Ontario cities including the Windsor area:


    We can also explain increased flooding with hydraulics related to municipal drainage design (tanks to hold back water and protect beaches can back up into basements like in my Toronto "Area 32" engineering flood study report), and related to overland flow in 'lost rivers' that statistically explain the highest concentrations of reported basement flooding:


    Basically, hydrologic stresses have increases (more runoff) and conveyance capacity has decreased (reduced CSO relief, tanks to protect beaches, blocked overland flow paths in old 'lost rivers'). Underpinned/excavated basements are now lower than before, closer to the crown of the sewer pipes in the street and more prone to sewage back-ups than before, with no change in rainfall extremes due to climate change.

    Robert J. Muir, M.A.Sc., P.Eng.

    Toronto


    2) How climate change is already costing you money, Published on Nov 01, 2017 by Patrick Metzger

    https://tvo.org/article/current-affairs/climate-watch/how-climate-change-is-already-costing-you-money

    My Comments:

    There are many false statements in this article and a lack of basic science, statistics or critical engineering considerations. I am a licensed Professional Engineer with extensive experience in extreme weather statistics and municipal infrastructure planning and design (26 years) - this article is like 100's of others, skimming the surface and missing the critical data and conclusions, reinforcing stale pundit talking points in the climate-change-echo-chamber. Please see below for what is wrong with the article.

    Firstly, the article conflates climate and weather which have different temporal scales. Climate includes rainfall and precipitation over seasons, years and decades while weather related to flooding in urban areas involves rainfall over minutes and hours. So the cited increase in precipitation is irrelevant to urban flooding and insurance since precipitation trends over months and years do not govern the performance of infrastructure systems (storm sewers, sanitary sewers, drainage channels and overland flow paths) - that infrastructure is governed by extreme rainfall rates over minutes and hours. It is an undeniable engineering fact. And these short duration rainfall intensities are 'flat' across Canada according to Environment and Climate Change Canada, as published in Atmosphere-Ocean in 2014 - in fact ECCC stated that some regions have decreasing trends including the St Lawrence basin in Quebec and the Maritimes.

    My own fact checking of the Engineering Climate Datasets (version 2.3 on the ECCC ftp site) shows twice as many statistically significant decreases in southern Ontario as increases, and for the critical shortest durations, no statistically significant increases at all. Here is a review of the typical insurance industry statements and the real data:


    Over the past two weeks I have correspondence from 3 scientists at ECCC stating that the annual precipitation statistic (climate) is irrelevant to urban flooding and the short duration rainfall (extreme weather) is what we should be looking at - across Canada the relevant data shows 'no detectable trend signal'. TVO should check the background of those providing information for these articles to see if the academic and practical experience aligned with the technical topic being discussed.

    It is too easy to just try and may headlines and exercise 'availability bias', 'anchoring bias' and other problem-solving short cuts with discussing extreme weather and flooding. It is more responsible to look at real data and fact-check articles because there is important public policy on climate adaptation and mitigation that relies on the proper characterization of the problems that we are solving. Blaming flooding on rainfall trends misdirects resources to mitigation when it should be focused on adaptation to yesterday's extremes (due to intrinsic design limitations in 50-100 year old infrastructure and land use planning). Chief economists at major banks have repeated IBC statements on extreme weather shifts with no fact checking whatsoever - the Sun, the Star, CBC and individual insurance companies have repeated it too without checking. They have been fact checking with ECCC recently though and the consensus is that there is no shift in extreme rainfall and IBC mixed up a theoretical future shift (of an arbitrary 'bell curve' no less) and had reported it extensively as a past observation by ECCC. ECCC has denied that their data shows any increase in severe weather with climate change.

    Some examples of ECCC refuting insurance industry claims:

    Ombudsman confirms with ECCC, and disputes insurance industry statements that we have more storms (see letter to me):


    That was in response to this story that had no fact-checking:

    http://www.cbc.ca/news/canada/windsor/more-than-half-of-homeowners-insurance-claims-stem-from-water-damage-broker-says-1.3291111

    And which had this correction made based on ECCC and real data: "However, Environment Canada says it has recently looked at the trends in heavy rainfall events and there were "no significant changes" in the Windsor region between 1953 and 2012."

    Canadian Underwriter editors dispute insurance industry statement on more frequent / severe storms after fact-checking with ECCC:


    "Associate Editor’s Note: In the 2012 report Telling the Weather Story, commissioned to the Institute for Catastrophic Loss Reduction by the Insurance Bureau of Canada, Professor Gordon McBean writes: “Weather events that used to happen once every 40 years are now happening once every six years in some regions in the country.” A footnote cites “Environment Canada: Intensity-Duration-Frequency Tables and Graphs.” However, a spokesperson for Environment and Climate Change Canada told Canadian Underwriter that ECCC’s studies “have not shown evidence to support” this statement."

    Lastly, the Clausius-Clapeyron relationship linking temperature to extreme rainfall have been shown to not hold up based on real observed data. This is a review of those findings in studies from MIT, Columbia and University of Western (in London and Moncton trends are flat, while in Vancouver there is less extreme rainfall at higher temperatures):


    Its time for a lot more basic fact checking on climate change, extreme weather and flooding. There is too much 'thinking fast' and not enough 'thinking slow', as shown in this review of media reporting biases through the lens of Kahneman:

    http://www.cityfloodmap.com/2015/11/thinking-fast-and-slow-about-extreme.html

    Unfortunately, as Kahneman puts it ""People are not accustomed to thinking hard, and are often content to trust a plausible judgment that comes to mind.", American Economic Review 93 (5) December 2003, p. 1450

    "Only the small secrets need to be protected. The big ones are kept secret by public incredulity."(attributed to Marshall McLuhan) .. .so true, especially when we rely on infographics and slogans and ignore basic data in our reporting.

    Robert J. Muir, M.A.Sc., P.Eng.
    Toronto


    3) How Ontario cities battle climate change, Published on Dec 01, 2015 by Daniel Kitts

    https://tvo.org/article/current-affairs/the-next-ontario/how-ontario-cities-battle-climate-change

    My Comments:

    Mr Adams is correct is questioning Mr Kitts 'facts'. Because the official national Engineering Climate Datasets show no detectable trend in extreme rainfall in Canada. This was published in Atmosphere-Ocean in 2014 and looks at the critical short duration rainfall rain intensities that drive urban flooding. Here is a review that explore that national data in detail, drilling down to Ontario and southern Ontario trends and showing why insurance industry statements on higher weather frequency shifts were exposed to be 'made up' (confusing arbitrary future predictions with past observations):


    Citing IPCC is irrelevant in the context of urban flooding in Ontario cities .. IPCC's definition of 'heavy rainfall' is the 95% percentile of daily rain with in Toronto is about 29 mm of rain - that is big for 'climate' but tiny for 'weather'. Typically storms have to be 3 times that big to cause urban flooding and most new communities are designed to handle 100-year design storms with built-in resiliency measures / safety factors to handle larger storms (if we see a hockey stick and get more extreme rain in the future).

    Recently I made presentation to the Ontario Waterworks and Water Environment of Ontario's Joint Climate Change Committee on city resiliency and adaptation. In it there is wealth of basic media myth-busting many would benefit from. It includes explanations of why we have more flooding from a quantitative engineering perspective, exploring hydrologic stresses and intrinsic hydraulic design limitations in 50-100 year old infrastructure and land use planning:


    It shows for example that 2017 Lake Ontario levels, while above average, were not very extreme looking back at 100 years of record (we exceeded past records by about 5 cm in some months which is naturally what happens with longer and longer records and the updated operating 'rule curves' for the lakes). It shows that the Richmond Hill GO Train was flooded in 1981 (just like 2013) in the exact same spot, even though the Ontario government suggests the 2013 flood was due to climate change. It shows that during the highest short duration rainfall recorded in Toronto in 1962 there was extensive basement and roadway flooding (this is not a new phenomenon at all). It shows numerous studies at the University of Guelph, University of Waterloo and major engineering consultants that Ontario extreme rainfall in decreasing and that extreme rainfall is not coupled to temperature changes. It shows significant urbanization in Oakville, Burlington and the rest of the Golden Horseshoe wince the 1960's and how we have paved up to the upper limit of the Burlington escarpment headwater watershed in that time - its hydrology that explains the increased flooding, not meteorology! This blog post shows the drainage paths in Burlington a little better than the OWWA WEAO presentation at the link above:


    These change in hydrology and runoff potential are undeniable and dwarf any noise in the extreme rainfall statistics. The 'new normal' is in fact the 'old extremes' that we have always had .. the system response is more severe however with greater runoff into the same 50-100 year old infrastructure and confined channels along the lower portions of our watersheds. When it comes to urban flooding, only Milli Vanilli 'Blame it on the Rain'. Nobody cares about hydrology. Canada's greatest hydrologist Vit Klemes once lamented about this saying If you have not read it, please see his key note address to International Interdisciplinary Conference on Predictions for Hydrology, Ecology, and Water Resources Management: Using Data and Models to Benefit Society, entitled "Political Pressures in Water Resources Management. Do they influence predictions?"


    Basically you could say that today on Ontario it is not unlike the communist Czech Republic that Dr Klemes describes in his address, where predictions (climate change) becomes prescriptions, despite the facts and data. And the media is so far out of touch that we cannot put the
    genie back in the bottle and the government is playing along pretending to help solve problems while ignoring true causes.

    As our Dr Klemes spoke in Prague:

    "[the theorists] find it easier to play trivial scenario-generating computer games while the [managers] find these games much easier to finance... And so by happy collusion of interests, an impression is created that 'something is being done for the future' while the real problems are quietly allowed to grow through neglect of the present"

    That is 100% correct. We are ignoring the present risks of today related to hydrology and blaming our flood problems on a climate change computer game (Weather Zoltar if you will). RIP Dr Klemes .. I still remember your guest lecture in our undergraduate class and wish you were around to speak truth to power on this topic.

    TVO you have to raise the bar on this topic and demand basic fact checking especially given ECCC statements, corrections by Advertising Standards Canada, CBC Ombudsman, Canadian Underwriters ....

    Robert J. Muir, M.A.Sc., P.Eng.
    Toronto

    ***

    Recently TVO aired a segment on extreme weather reporting and examined temperatures submitted by a viewer to show that Ottawa maximum temperatures have been decreasing using WeatherStats.ca data. See broadcast: https://www.tvo.org/video/climate-accuracy-activism-and-alarmism, and the transcript: https://www.tvo.org/transcript/2550125/climate-accuracy-activism-and-alarmism. This chart was questioned:


    The TVO panelists could not comment on the source of the chart and dismissed it (even through the viewer had supplied TVO with the source). One panelist presented a chart on average temperatures (not maximum values) over a shorter period and seemed to imply that any Ottawa trends were an anomaly. Here is that chart:



    What does the TVO panelist chart miss? Maximum temperatures. The hot decades in the early 1900's. The following chart is based on Environment and Climate Change Canada's homogenized and adjusted data - they do not produce annual maximum daily temperatures so this picked the highest daily temperatures for each year, just like the TVO viewer charted using WeatherStats.ca data. Here is the official data maximums:



    Note: title station number is 61005976 is corrected (previous version indicated 6105967) - May 7, 2022

    There is the same pattern and decreasing trend that the TVO panels dismissed! Maybe instead of inviting just lawyers and doctors as its panelists TVO could invite some engineers to comment on data that is most relevant to our profession?

    The following chart shows that for all Ontario stations with trend data available summers are not warming as much as the winters - and Octobers are getting colder.




    In Ottawa, data from the Ontario Centre for Climate Impacts and Adaptation Resources shows winter temperatures increasing, driven by the minimum increasing (as noted in a previous post):


    Winter temperatures have increased with climate change - Ottawa, 1939-2016

    Yet summer maximum temperatures have not increased at all (centre chart) - the mean (left chart) is increasing due to the minimum (right chart) increasing:



    Other locations across Ontario have decreasing annual maximum temperatures since the 1930's as well. In Toronto the moving average 30 year annual maximum temperatures have decreased since the 1920's - the periods including the 1930's had high maximum temperatures:

    Note: legend updated label series May 7, 2022

    Some Toronto temperatures changes may be explained by urban heat island (UHI) effects, meaning heat is absorbed by urban structures and surfaces, and is stored and radiated back. Research at the University of Toronto has suggested that UHI explains a portion of the temperature increase by comparing trends with other rural climate stations not affected by UHI (see Tanzina thesis 2009). Tanzina summarized trends in temperatures by season showing that summer warm days decreased at many Toronto-area stations (highlighted climate stations):



    What about across Canada? Other major cities such as Calgary have had decreasing annual maximum temperatures trends as well. This chart shows data from weatherstats.ca which no increase in maximum temperatures:


    Environment and Climate Change Canada's homogenized and adjusted data for Alberta show a trend similar to Ontario, meaning warmer mean temperatures due mostly to warmer winters and not summers. These are mean temperature trends by month:




    So summers are slightly warmer considering the mean and warmer minimums. But the maximum temperatures in summer (July) have DECREASED, and so have October and November maximum temperatures:



    So the month with the highest temperatures is having a decrease in maximum temperature. The chart at right shows climate normals for Calgary, with July temperatures being the highest. This is good news that maximum temperatures in the hottest month are declining according to the official national climate datasets.

    Ross McKitrick found some similar trends looking across Canada: https://www.rossmckitrick.com/uploads/4/8/0/8/4808045/temp_report.pdf

    Some of his take-aways:

    "4. Over the past 100 years, warming has been stronger in winter than summer or fall. October has cooled slightly. The Annual average daytime high has increased by about 0.1 degrees per decade. 72 percent of stations did not exhibit statistically significant warming or cooling.

    5. Since 1939 there has been virtually no change in the median July and August daytime highs across Canada, and October has cooled slightly."

    ***
    How about a look at July maximum temperatures in the Toronto area? Are summers getting hotter?

    The adjusted and homogenized data are available from Environment and Climate Change Canada: https://www.canada.ca/en/environment-climate-change/services/climate-change/science-research-data/climate-trends-variability/adjusted-homogenized-canadian-data.html

    To review, follow the "Surface air temperature" link and download the monthly data, i.e., the file Homog_monthly_max_temp.zip that includes all station data. The data can be evaluated to show trends over 100+ years in several cases.

    The following chart shows the maximum daily temperatures in July, averaging all days, for climate stations in Welland, Vineland, Hamilton, Toronto, Peterborough and Belleville including records up to 100 years (2019-2018):

    Toronto Maximum Temperatures Climate Change


    The Station IDs and names are as follows: 6139148,VINELAND; 6166415, PETERBOROUGH; 6158355, TORONTO; 6139449, WELLAND; 6150689,BELLEVILLE; and 6153193,HAMILTON.  Three stations have decreasing temperature trends and three have increasing trends. On average, over 100 years, the maximum July temperatures have increased by 0.17 degrees Celsius for these six stations.