Showing posts with label rain intensity. Show all posts
Showing posts with label rain intensity. Show all posts

Canada's Minister of Environment and Climate Change comments on lack of evidence of changes in precipitation extremes

Last week the Minister of Environment and Climate Change confirmed that "the observational record has not yet shown evidence of consistent changes in short-duration precipitation extremes across the country" - see June 13, 2019 letter excerpt at right. The full letter is appended to the bottom of this post.

In plain language, there is no general 'new normal' of bigger or more intense storms that cause flooding in urban areas across the country.

This is in contrast to most of the media reports that have claimed a 'new normal' of torrential storms, even dubbed 'ghost storms' or 'ninja storms'. For example, in Mark Mann's recent story "HELL AND HIGH WATER" in Toronto Life the byline was "Torrential storms have become the new normal. They’re turning our basements into lakes and our streets into rivers. Is Toronto ready for the age of the flood?" (see image below).



Readers of this blog will appreciate that what causes Toronto streets to become rivers during extreme rainfall is old, pre-1980 drainage design standards that did not account for extreme weather in road and lot grading or sizing of sewer infrastructure. Municipal flood reports indicate a high risk of basement flooding in proximity to these under-designed 'lost rivers', as shown in a review of May 2000, August 2005 and July 2013 extreme rain event flood reports (see presentation "Urban Flood Risks from Flood Plain to Floor Drain, Correlation of Basement Flooding With Overland Drainage & Topographic Risk Factors During Severe Storm"). Insurance claim data shows more reported claims in the lost river zones through old communities built with limited extreme weather capacity. Flooding in concentrated in these old communities, with the highest density of flooding in "partially-separated" sewersheds where between 1950 and 1980 many foundation drains and rooftops were conveyed into sanitary sewers that were never designed to handle extreme wet weather inflow and infiltration stresses. This can be shown with data on flooding and monitored extraneous wet-weather flow stresses:

1) In Toronto, dwellings built between 1961 and 1980, largely with partially-separated sewers, have 10 times higher flood risk than those built after 2001. The chart at the right was presented at the National Research Council's "Workshop on adaptation to climate change impact on Urban / rural storm flooding February 27, 2018" in Ottawa - click here for a link to the full presentation: "Changes in catchment characteristics and remediation priorities due to CC and level of service upgrades".

2) At the NRC workshop a comparison of the resiliency of new vs old construction was illustrated for an extreme 2017 storm in the City of Markham. Dwellings built after 1990, with the benefit of i) fully-separated sanitary sewers (foundation drains connected to the storm sewer), ii) robust overland flow design for extreme storms, iii) inlet controls to throttle sewer inflows where necessary and prevent sewer surcharge, and iv) proactive land use planning to prevent encroachment onto floodplains, experienced only 1/60th of the flood reports of those built before 1980 and that do not always have those modern design considerations for extreme weather resiliency.

3) At the NRC workshop, the high extraneous wet-weather high flow risks in old, partially separated sewer service areas, are shown in the 100-year peak flow rates - for partially-separated sewersheds in Ottawa the rate is 4.87 L/s, which is 850% above the rate for modern, fully-separated sewersheds. Since hydraulics of sewer flow are non-linear, doubling extraneous flow increases friction losses by 4 times. So older sewers can have 8.5-squared or over 70 times the friction losses of newer sewers during a 100 year storm - that helps explain why dwellings serviced by old sewers are more flood-prone.

The Toronto Life article also refers to a recent Toronto flood event saying "The August 2018 squall belonged to a class of storms that are occurring more frequently in Toronto as the climate changes. Sometimes called “ghost storms” or “ninja storms” for their sudden appearances, these extreme downpours possess two qualities that allow them to strike violently and without notice: they’re super-compact and super-localized."

This type of media statement is not supported by any data. In fact, observed maximum rainfall volumes in and around Toronto have been decreasing according to Environment and Climate Change Canada's Engineering Climate Datasets.  The most recent Version 3.0 datasets show decreasing observed annual maximum rainfall in Toronto over storm durations of 5 minutes to 24 hours (i.e., "short-duration precipitation" noted in the Minister's letter), as shown below:



For durations of 12 hours, the decreasing trend is statistically significant at Toronto's longest-running climate station with records going back to the 1940's.

Looking at charts across the GTA (see Pearson Airport and Buttonville Airport climate stations in a previous post) we see many similar decreasing trends, and no "new normal" of torrential rain - in fact, the new normal is often less extreme rainfall intensities. Numerous engineering studies (summarized here) have shown no "new normal" either in the region.

Ontario extreme rainfall annual maximum design intensity IDF trends climate changeThe same decreasing trend in the GTA holds true across southern Ontario, where in a previous post the observed annual maximum rainfall trends at 21 long-term climate stations showed 42% more decreasing trends than increasing ones (see summary chart at right). So the Minister's statement on extreme precipitation evidence is certainly a good reflection of data in this region.

In the previous Version 2.3 datasets, a review of annual maximum trends across Canada showed other regions with decreasing overall trends too. This table below counts trends in the short 5-minute duration observed rain intensities in different provinces and territories:

5 Minute Extreme Rainfall Trend
Province Station Count

Trend / Significance
AB  
BC  
MB  
NB  
NL  
NS  
NT  
NU  
ON  
PE  
QC  
SK  
YT  
Canada
Decrease/ Significant

2

1
1
1


2
1
7

1
16
Decrease/ Not Significant
17
20
8
3
6
2
2
1
51
1
61
15
2
189
No Data
1
56
2
1
1
2
1
5
15

8
1
1
94
Increase/ Not Significant
12
50
15
8
10
10
4
3
60
1
55
19
4
251
Increase/ Significant

1
2
1
1



5

4

1
15
Canada
30
129
27
14
19
15
7
9
133
3
135
35
9
565
Most trends are not significant, with predominantly 'random' ups and downs. The table shows more statistically significant and non-significant decreases in Quebec (QC), meaning less severe rainfall intensities over time. The overall Ontario trends have more increases than decreases, which upon closer examination are related to increases up north as shown in a previous post - trends in the south are more likely to be downward, including more statistically significant decreasing rain intensity trends.

Some entire regions have decreasing short-duration trends, as Environment Canada noted in Atmosphere-Ocean in 2014 (Trends in Canadian Short-Duration Extreme Rainfall: Including an Intensity-Duration-Frequency Perspective), "The decreasing regional trends for the 5- to 15-minute duration amounts tend to be located in the St. Lawrence region of southern Quebec and in the Atlantic provinces". Consistent with the Minister's statement on observational evidence, the Atmosphere-Ocean paper stated "single station analysis shows a general lack of a detectable trend signal, at the 5% significance level". There are no "consistent changes" as the Minister notes.

My outreach to the Prime Minister on this topic was following the 2017 Gatineau flooding as described in a previous post. Specifically, given my earlier review of Engineering Climate Datasets' trends and Environment Canada's Atmosphere-Ocean statements, I had asked the PM for any information to support his 2017 statements:

1) "The frequency of extreme weather events is increasing, and that's related to climate change"

and

2) "We're going to have to understand that bracing for a 100-year storm is maybe going to happen every 10 years. Or every few years."

The PMO did not provide any supporting information on event frequency statements though. It is understandable that some politicians may not be aware of the actual data trends, especially given that the insurance industry has been promoting a "Weather Story" since 2012 whereby extreme weather events were said to have increased in frequency (i.e., 40-year events becoming more frequent 6-year events) - this frequency shift had been widely reported in the media and was even repeated by TD Bank's chief economist - unfortunately, this "Insurance Fact" on event frequency has been shown to be only a theoretical shift, and not based on Environment Canada data as was originally cited. A full review of this substitution of theory for actual observational data is in this presentation Review of Weather Event Statement in Insurance Bureau of Canada’s Telling the Weather Story prepared by Institute for Catastrophic Loss Reduction.

The PMO forwarded my original question to the Minister over a year ago. The response received this week would appear to not support the PM's 2017 statement "The frequency of extreme weather events is increasing".

The Minister's response relies largely on the recent Canada's Changing Climate Report, Chapter 4, pages 117 and 119 (see excerpts at right).

The Minister wrote that there is "not yet" evidence of "consistent changes", perhaps implying that some changes are apparent but not consistent or widespread for extreme precipitation. The cited report implies even less is happening to these extremes, stating "evidence of changes" "is lacking" (no mention of 'consistent' changes).
Despite the lack of evidence, the Minister has been quoted as saying 100 year floods are increasing in frequency. See Global News report related to 2019 spring flooding:

"Environment Minister Catherine McKenna said Thursday that the “one in 100-year flood” is happening much more frequently."

and

"This flooding is happening here in Quebec, it’s happening in Ontario, it’s happening in New Brunswick. And really sadly, what we thought was one-in-100-year floods are now happening every five years, in this case, every two years,” she said."

There is a potential disconnect between the Minister's statement on lack of evidence of extreme precipitation changes and an increased frequency in 100 year floods. It must be noted that flooding on the Ottawa River, and other large watersheds, is driven by seasonal climate factors like the amount of snowpack accumulated and its melt rate during the spring freshet. Large river flooding is not governed by the short-duration precipitation that affects small, 'flashy', urban watersheds.
Changes in temperature affect snowpack accumulation and winter hydrology. Canada's Changing Climate Report suggests lower snowpack amount along with warming temperatures (see page 118 "As temperatures increase, there will continue to be a shift from snow to rain in the spring
and fall seasons"). Researches at the University of Guelph School of Engineering have suggested that spring peaks have decreased in rural watersheds as a result of warmer temperatures.(see May 2019 report Historical Floods of Ontario: A Reported Flood Event Database and Preliminary Analyses of Variability)  The chart below shows decreasing spring peak flows as a result of higher winter runoff and lower spring snowpack in the Moira River watershed:



The Prime Minister's recent statements in 2019 appear to be better aligned with the data than his 2017 statements, suggesting now that changes in extreme weather and flooding are only predicted, but have not yet occurred. For example the PM recently stated "we're going to see more and more of these extreme weather events more regularly. It means we have to think about adaptation, mitigation and how we are going to move forward together." (see HuffPost report). No claim that we are already seeing these extreme weather events is made. That is consistent with the Minister's letter that there are predicted changes.

Recognizing that there is no evidence of changes to date is important. This should in fact influence our mitigation and adaptation priorities, especially given the potentially high cost of mitigation or adaptation measures. The American Society of Civil Engineers (ASCE) has published a manual of practice (Climate-Resilient Infrastructure: Adaptive Design and Risk Management) for adapting infrastructure to account for future risks, as noted in a previous post.

The ASCE guide proposes to classify 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. One of the principles is that given uncertainty with future climate, one may design infrastructure considering today's climate if the risk class is low, or if future adaptation is feasible.

The Minister has recently tweeted that "It is therefore no longer sufficient to rely on historical statistics and past experience to quantify future risks" (see right). The ASCE manual of practice would suggest otherwise for some classes of infrastructure.

The ASCE 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.

The OM approach is a largely a 'wait and see' approach whereby performance can be monitored over time to determine what modifications have to be made in response to changing risks. Obviously today's known risks, including those related to old infrastructure design standards causing most urban flooding, and high-risk land uses causing most river and shoreline flooding, can be actively addressed today. There is no need to wait there.

There is not, however, any overwhelming need to embank on expensive adaptation strategies, e.g., implementing widespread green infrastructure measures that come at a known high cost, or doubling the size of all infrastructure as if 100-year storms are now already 10-year storms and the runoff stresses on our systems are already drastically bigger. Quite the opposite - the Ontario Ministry of Transportation (MTO) has determined that even with future predicted rainfall intensity increases most sewers, culverts and bridges can handle that runoff. As noted in a previous post, MTO's 2015 report The Resilience of Ontario Highway Drainage Infrastructure to Climate Change stated:

"Based on the analysis of samples of highway infrastructure components there is demonstrated resilience of MTO drainage infrastructure to rainfall increases as a result of predicted climate change scenarios. An overwhelming percentage of the storms sewer networks tested appeared to have sufficient excess capacity to hand the increases in design flow rates up to 30%. Similarly, the sample of highway culverts analysed showed adequate capacities, for a large percentage of the culvert, to handle the rage of low rate increases investigated without the need to be replaced. The bridges tested also appeared to suffer no risk to structures as a result of the flow increases."

This is in direct contrast to media reports that claim in the future all sewers and culverts will be too small. In the TVO article There will be floods — and Ontario’s not ready for them the former Environmental Commissioner Gord Miller states “We have no predictability any more. One has to look from the perspective that all culverts are undersized. All sewers are undersized.” The fact is that we have more long-term records than we ever did showing no change in extremes, and carefully analyzed system hydraulics show no universal undersizing of infrastructure - it is in fact the opposite. The majority of systems are resilient in the future when designed to today's standards. We do still have to upgrade the old systems that were never designed to handle yesterday's, today's or tomorrow's extremes.

The media is unfortunately mischaracterizing many of today's known flood risks and extreme weather damages as being caused by climate change effects. The insurance industry has also claimed that increasing damages are caused by these effects. Clearly if there is no evidence of changes in extreme precipitation, no evidence of 'ghost storms' or 'ninja storms', and so damages cannot be attributed to such effects and must be explained by other factors (see previous post on quantifiable causes related to urban hydrology and infrastructure hydraulics).

Unfortunately we live in an age where infographics rule. It is easy to make statements in the media that go unchecked. Infographics like those on the right and unsupported "Weather Story" claims are easy to find. A careful look at data is rare to find.

Unchecked facts were part of a recent case where the CBC Ombudsman had to admit that the CBC 'failed to comply with journalistic standards' in assessing and reporting on the insurance industry and other researcher claims that extreme rainfall has increased. The story was covered in the Financial Post by Terence Corcoran. The original story that was corrected to reflect journalistic standards is here: How to mitigate the effects of flood damage from climate change by Marc Montgomery.

As the CBC notes in the correction "Both this article and the subsequent “Counterpoint” have been modified as a result of complaints by Robert Muir (P Eng) to the Radio-Canada Ombudsman regarding inaccuracies in the stories . The ombudsman has ruled in favour of the complainant. Certain statements relating to rainfall amounts and the so-called 100 year events deemed by the complainant to be inaccurate or irrelevant to the story have been removed and/or replaced.  Information from Environment Canada has been added to indicate their statistics show no increase in rainfall or extreme rain events beyond “normal” variations."

The Minister's letter would appear to support the fact that statistics show no increase in extreme rainfall events beyond normal variations. This is a good sign, and should help guide us toward effective, evidence based policies on managing floods
and flow. As I noted in the abstract of my paper Evidence Based Policy Gaps in Water Resources: Thinking Fast and Slow on Floods and Flow the fundamentals of rainfall extremes have often been overlooked and heuristic biases have skewed how we define risks:

"Water resources management and municipal engineering practices have matured in Canada over recent decades. Each year, more refined analytical tools are developed and used in urban flood management. We are now at a state where practitioners must use these tools within broad decision making frameworks to address system risks and the life cycle economics of prescribed solutions. Otherwise, evidence based policy gaps in the prioritization of risk factors and damages will widen and lead to misdirected mitigation efforts. For example, despite statistically significant decreases in regional short duration rainfall intensities in Southern Ontario, extensive resources are devoted to projecting IDF curves under climate change. Thinking fast, as defined by Daniel Kahneman, through listing recent extreme events to declare new weather reality risks based on heuristic availability biases, has replaced data driven policy and the statistical rigour of thinking slow problem solving. Under this skewed risk perspective, a high profile Ontario commuter train flood was mischaracterized as an unprecedented event despite a <5 y return period and a greater flood weeks before. Recent Ontario urban flood incidents have been attributed to unprecedented weather despite GIS analysis showing more critical hydrologic drivers. Constraints on effective water management are now less likely to be technical but rather scientific (inadequate representation of urban groundwater systems), institutional (arbitrary boundaries between city and watershed agency jurisdictions), economic (unaffordable green infrastructure solutions based on cost–benefit analysis and flat normalized loss trends), or operational. Evidence based policies and water management solutions are needed from a broad risk and economic framework that recognizes these barriers and uncertainties in the application of analytic tools.

***
Minister McKenna letter on observed extreme rainfall:




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.

Climate Models Predict Decreasing Extreme Rainfall Intensities and No Change for Moderate Storms In Southern Ontario

Abstract
A study by University of McMaster researchers entitled "Assessment of Future Changes in Intensity-Duration-Frequency Curves for Southern Ontario using North American (NA)-CORDEX Models with Nonstationary Methods" predicts that extreme 50-year rainfall amounts will decrease in Southern Ontario by 2050, that moderate 25-year rainfall amounts will remain flat, and frequent 10-year rainfall amounts will increase overall for long durations but are mixed for short durations.

The paper is available at this link.

Ganguli and Coulibali state in the abstract "Our results showed that extreme precipitation intensity driven by future climate forcing shows a significant increase in intensity for 10-year events in 2050s (2030-2070) relative to 1970-2010 baseline period across most of the locations. However, for longer return periods, an opposite trend is noted."

The following tables illustrate how rainfall intensities are predicted to change over periods of 1 hour to 24 hour at Southern Ontario Locations including Toronto, Hamilton, Ottawa, Windsor, London Trenton, Stratford and Shand (Fergus Shand Dam).

Southern Ontario Extreme Rainfall Predicted to Decrease With Climate Change 

Southern Ontario Moderate Rainfall Predicted to Not Change Overall With Climate Change
Southern Ontario Frequent Rainfall Predicted to Increase With Climate Change For Long Durations
Specifically, the Toronto-Hamilton 50-year rainfall amounts over 1-2 hours are predicted to drop by up to 5% or increase by 1% assuming non-stationary distributions - such changes are considered insignificant in the realm of infrastructure design given uncertainties with other factors and analysis methods. Across Ontario, the largest predicted decrease is 44% at Shand and the largest increase of 14% is in Windsor. These short duration amounts are most relevant to peak flow affecting urban flooding.

Meanwhile, the 25-year rainfall amounts are predicted to increase or decrease by 7% and 4% respectively, again an insignificant amount in design. Across Ontario, the largest predicted decrease is 35% at Shand and the largest increase of 10 % is in Windsor.

In contrast, the 10-year rainfall is predicted to increase overall, especially for long durations. For short durations of 1-2 hours the maximum increase is 22% in Hamilton and the maximum decrease is 32% in London.  For the 1-hour duration 5 stations show a decrease in 10-year rainfall (-5% to -22%), while only 3 stations show increases (+5% to + 22%).

The authors conclude that "The findings, which are specific to regional precipitation extremes, suggest no immediate reason for alarm, but the need for progressive updating of the design standards in light of global warming."

It is interesting that authors refer to 'global warming' as opposed to climate change, perhaps since extreme rainfall if not predicted to change with future temperatures.

***

Previously, we analyzed the trends in the Engineering Climate Datasets for long term Southern Ontario gauges:

http://www.cityfloodmap.com/2018/01/short-duration-frequent-rainfall-show.html

The review showed for a 2-hour duration the 10-year intensities decreased on average 0.8% from 1990 to the most current Version 2.3 dataset. The McMaster research predicts an average increase of 4.3% for 2-hour 10-year rainfall (non-stationary vs non-stationary). A greater increase is predicted for stationary vs stationary. Question: when will the real data observations start to show an increase like the model suggests? Maybe it won't. Reminds us of this quote:

"It doesn't matter how beautiful your theory is, it doesn't matter how smart you are. If it doesn't agree with experiment, it's wrong."
Richard P. Feynman

Given rainfall design intensities are decreasing in many Southern Ontario cities based on past observations it is refreshing to see climate modelling that predicts trends that are consistent with real data - yeah !

New Version 3.0 data for southern Ontario shows a further decrease in design intensities since 1990. This data shows a greater decrease for the lower return periods, contrary to the model predictions indicating low return period intensities will increase.


Radical Transparency. Uncovering the 'big secrets' in urban flood risk adaptation and extreme rainfall trends under climate change in Southern Ontario.

"Truth and untruth exist at the same level of authority on the internet."
Salman Rushdie, on Fareed Zakaria GPS, September 17, 2017

"Only the small secrets need to be protected. The big ones are kept secret by public incredulity."
Marshall McLuhan

Too bad. Lets expose the big secrets in flood risk management and climate adaptation, and give truth the upper hand, shall we?

Lets encourage "radical transparently". Why? So that we can create data-driven, evidence-based policies to cost-effectively manage flood damages and reduce risks to people and property.

This radical transparency is promoted by Ray Dalio, founder of Bridgewater Associates (see his Ted Talk here on successful investing and company building). Dalio says that to be successful we need to "bet against the consensus" and "be right".

The presentation below on the key drivers for managing flood risk in Southern Ontario goes against the consensus in terms of extreme weather extremes (showing they are down not up) - but its not a bet, but rather a careful review of data - so in that regard I trust it is 'right' .... or certainly right-enough for its intended purpose given all the other uncertainties in hydrology and hydraulic disciplines.




Ray Dalio in his Ted Talk shares his painful "Fail Forward" moment of ruin and how he used the experience to improve his decision making. He said "Rather than thinking 'I'm Right', I started asking myself 'How do I know I'm Right?' I gained a humility I needed in order to balance with my audacity. I wanted to find the smartest people who would disagree with me to try to understand their persepctive or to have them stress test my perspective. I wanted to create an idea meritocracy ..."

Let me know your thoughts. I welcome any 'stress test' of my OWWA WEAO Joint Climate Change Committee presentation above. Thank you so much!

R. Muir

Why Flood Damages Are Increasing In Canada - Rain or Runoff?

Runoff is the key factor, not rain. Drainage system design comes into play as well.
Intensification of subdivisions has more than doubled since the 1950's increasing from less than one third impervious area coverage to more than two thirds in the last 15 years.
Extreme rainfall is decreasing as shown in Environment and Climate Change Canada's Engineering Climate Datasets. Are scientists being muzzled? In Southern Ontario for example, more statistically significant decreasing trends are observed than increasing trends:

Most changes in rainfall intensity are mild trends, not statistically significant. Version 2.3 Engineering Climate Dataset.

Note that some increased intensity observations are a function of the intrinsic sample bias of the underlying skewed rainfall probability density function. This is important for drainage design and should be considered, but does not indicate a change in the underlying 'population' being observed/sampled (i.e., increases not necessarily a change in fundamental rainfall characteristics due to climate change).

Because flood damages are increasing, could it be the increased runoff due to intensified development contributes to flooding? Yes. The GIS analysis of a city in York Region up top shows how the percentage of impervious area has increased from the 1950's when less than one third of land was hardened with road, rooftops and driveways, to the early 2000's when over two thirds of land was hardened.

Ironically though, the pre 1980's subdivisions may have the greater basement back-up risk because of the partially separated sanitary sewer systems and high wet weather inflows during extreme storm events. These unwanted inflows are sometimes 10 times the inflow allowance in new subdivisions where systems are fully separated (i.e., foundation drains connected to the storm sewer instead of sanitary). Also the overland drainage in the pre 1980's subdivision may not safely follow the roadway but instead travel across private lots, into window wells and basement walkouts aggravating impacts to the sanitary sewer, despite the lower overall runoff rates.

The lesson? Changing rainfall patterns do not explain increased flooding in urban areas in Canada. Increased runoff is dramatic but may be managed in new subdivisions with more resilient design standards (fully separated sanitary sewers, and controlled overland grading patterns). Look for a future post on intensification in existing serviced areas and impacts on the original sewer and drainage systems.

It is time to move past infographics (below) and consider real data when assessing flood risks and developing evidence-based flood mitigation policies in Canada:

Sorry. We don't know what this means or what it is based on ... just that it is from the Ontario government and is a distraction to for any meaningful analysis or discussion on flood management.