Some thoughts on #WomenInScienceDay

Today is the International Day of Women and Girls in Science. This day is designated by the UN because “Over the past 15 years, the global community has made a lot of effort in inspiring and engaging women and girls in science. Yet women and girls continue to be excluded from participating fully in science. At present, less than 30 per cent of researchers worldwide are women. According to UNESCO data (2014 – 2016), only around 30 per cent of all female students select STEM-related fields in higher education.”

As a woman in science, I’m grateful for the opportunities I’ve had to explore my interests, learn new concepts and skills, conduct research, and further my professional career. And I’m incredibly grateful for all of the wonderful women colleagues I have online, at my institution, and with whom I get to collaborate. So today is a day to celebrate what we have achieved for women in science. But it’s also a day to remind ourselves where we need to go.

Science is better when it is more diverse and inclusive, and gender is one important dimension of diversity. Check out https://undsci.berkeley.edu/article/socialsideofscience_02 for just a few of the reasons diversity improves science.

It’s also fundamentally right that folks with all genders have the same opportunities to study science and pursue science careers. Even if it didn’t make the science better (it does), diversity in would be a good thing. Because the opportunity to study and do science enriches the lives of those that are drawn to it.

I’m incredibly fortunate to have a trail-blazing scientist for my mother and I’ve benefited tremendously from the work that she and others of her generation did to diversify science. I hope I’m paying that forward to the next generation.

One of the ways that we can make science and society better is by paying attention to those who are multiply minoritized in science and the struggles and barriers that they face – and then working to remove those those barriers.

When we focus on gender as the primary axis of diversity, we help white women (like me) most. And while white women still face a lot of barriers to science careers (e.g., sexual harassment), we have it easy compared to women of color, women with disabilities, etc. (As evidence, women now earn 45% of geosciences doctorates in the US. But, it was 88% white people among those geosciences doctorates i earned by US citizens and permanent residents. The geosciences is whiter than any other science discipline. (Stats from here.))

Fortunately, there are a lot of minoritized women in science who are speaking up about their experiences and their recommendations to make science a more inclusive space. We need to listen to the voices of women like Dr. Chanda Prescod-Weinstein, Dr. Kat Milligan-Myrhe, Dr. Katherine Crocker, PhD student Itati SantaMaria de Chavez y Vasquez, undergraduate Elizabeth Gutiérrez, Ruth H Hopkins, Dr. Tressie McMillan Cottom, and so many more. We also need to listen to and support groups like the International Association for Geoscience Diversity and Latinas in Geoscience. But we can’t just listen, we need to grapple with why what they say makes us feel uncomfortable, and then we need to follow their advice.

In science, and especially in the geosciences, we have a long way to go to make our spaces truly inclusive for all people. Let’s use International Day of Women and Girls in Science to remind ourselves to get to work.


Even the UN needs a little help, having released a graphic showing 5 white women scientists. Twitter promptly came to rescue and this version is a much better depiction of the science we want. A later version include PPE on the scientists, and I suggested that we could do with more types of science represented as well. We don’t all work in a lab with white coats on.

#WomenInScienceDay

(adapted from a tweet thread, original here).

Categories: by Anne, general science

Earthquakes of 2018

Just as I did in 2016 and 2017, I thought I’d begin the new year with a look back at the earthquake activity in the last. According to the catalogue maintained by the USGS, the Earth’s ever-grinding tectonic plates produced 1,795 earthquakes of magnitude 5 or greater over the past 12 months. Below are maps of the individual locations of each of these earthquakes, as well as a global seismic ‘heat map’, scaled to represented the total energy release in each 5º grid square.

Global map with circles marking where earthquakes of magnitude 5 or greater occurred during 2018.

Global Map of M5+ earthquakes that occurred in 2018, from the USGS catalog.

Global map with coloured squares; stronger reds are places where more energy has been released in earthquakes.

Heat Map of global seismic activity in 2018, scaled to total moment release from all M5+ earthquakes in each 5º grid square

Based on the last 50 years or so of data from the global network of seismometers, in an average year we expect around 1500 magnitude 5-6 earthquakes; about 130 magnitude 6-7 earthquakes, about a dozen magnitude 7-8 earthquakes, and maybe one event larger than magnitude 8 (earthquakes of magnitude 9 or more are much rarer beasts, with only two so far in the 21st century). 2018 boasted about 10% more M5-6 earthquakes than the long-term average, about 10% less M6-7 earthquakes, and about 20% (2-3) more M7-8 events and that one M8+ event. All this is well within the variability we see between years in the records since 1974.

Number of earthquakes in different magnitude ranges in 2018, compared to longer term averages and ranges.

Bar charts showing numbers of earthquakes detected by the global seismometer network every year since the 1970s. Most recent year is indicated by the orange bars at the end

2018 earthquake frequency compared to the instrumental record since 1950 (note that M5-6 events are largely missing from the catalogue prior to the 1970s).

So, from the global perspective, an entirely ‘normal’ seismic year. When discussing earthquake prediction earlier this year, I argued:

In a geological echo of the uncertainty principle, we can only narrow down the location of a future earthquake if we are very fuzzy about the timeframe over which it will occur, and we can only talk with any confidence about a specific period in which an earthquake of a particular size will occur by greatly expanding the area of the planet we are considering.

The same principle applies when talking about multiple earthquakes. The scale of the whole planet, and the timescale of a year, is fuzzy enough to ‘predict’ roughly how many earthquakes of particular sizes are going to happen. But the characteristics of each individual earthquake – when and particularly where – are not predictable. Yes, we got the expected magnitude 8+ earthquake, but it was almost 600 km down in the subducting Pacific slab beneath Fiji, deep enough that it only caused minor shaking on the surface and no damage.

Contrast this with the magnitude 7.5 Palu earthquake. It released less than a tenth of the energy, but the rupture occurred within 20 km of the surface. The strong ground shaking that resulted, and particularly the landslides and tsunami that the shaking triggered, killed at least 2 thousand people, making it by far the deadliest earthquake of the year. Also in unfortunate Indonesia, a sequence of magnitude 6-7 earthquakes beneath Lombok Island in August killed hundreds, when most of the dozens of others in this size range that occurred last year were, through some combination of less proximity to the surface or people and more resilient infrastructure, little more than an inconvenience. Last month’s Anchorage earthquake springs to mind. And one of those more than 1600 magnitude 5-6 earthquakes was sufficient to kill 14 people in Haiti. Even if an earthquake only severely shakes a very small area, that small area can coincide with vulnerable people.

As always, earthquake location matters. In the year ahead, we can expect roughly the same numbers of earthquakes to happen globally as in the past. But their locations and depths and timing – the factors that, far more than magnitude, tip the balance between a minor blip and a disaster – will sadly only unfold as the year itself does.

Categories: earthquakes, geohazards, society

Announcing STORMS

A post by Anne JeffersonI’m pleased to announce that I’m leading a new multi-institution NSF-funded project investigating how stormwater decision making translates to environmental outcomes at the watershed scale. I’m collaborating with Aditi Bhaskar (Colorado State University), Kelly Turner (UCLA), and Dave Costello (Kent State University) on the project we’ve christened STORMS, for STream Outcomes Resulting from Management of Stormwater.

Photo of stream with placed rocks lining banks, grass surrounding

Little Dry Creek at Westminster, Colorado (Photo by Aditi Bhaskar)

Over the next three years, we’ll be working in set of watersheds and municipalities in the Cleveland and Denver regions. Cleveland and Denver have different climates, hydrology, and institutional structures affecting stormwater management, and our goal is to distill generalized knowledge from studying these contrasting regions.

We’ll be collecting social, physical, and ecological datasets to generate an integrated understanding of stormwater management decision making and environmental consequences. We’ll start by looking at how formal institutional rules and informal norms shape the decisions made at the local and regional scale and translate to specific management actions (like building ponds versus rain gardens). The next step is to see how those management actions affect urban watersheds’ hydrologic regime, and we’ll do that by using stakeholder-informed modeling, as well as retrospective analysis of hydrology and stormwater actions. We’ll use stream metabolism and suspended sediment transport as our measures of environmental outcomes, so there will be field work in six watersheds to draw the connections between hydrologic and sediment dynamics and ecosystem health. By the end of the project, we’ll tie all of our findings together using a Bayesian network.

Throughout the project, we’ll be working with stakeholders, including watershed groups and decision-making authorities, to both shape our approach and share results. We’ll also be working with Cleveland Metroparks and Denver KIC-NET educators to develop Data Nuggets, that they can use with middle school and high school students. Collaborator Lauren Kinsman-Costello helped develop Data Nuggets, which give students practice making claims based on quantitative evidence. We’ll draw from the data collected over the course of the project and connect the nuggets to Next Generation Science Standards relevant to the engineering and environmental science within the project.

I’ll be seeking a PhD student to work on the hydrological aspects of the project, and Dave Costello will be recruiting a MS student to lead the ecosystem metabolism piece of the project. Look for those ads in the coming weeks and months. We’ll also be recruiting undergraduate researchers from Kent State University and Colorado State University.

Stream with large boulders and dead/dormant vegeation on the banks.

West Creek in Brooklyn, Ohio. (Photo by Anne Jefferson)

Categories: by Anne, environment, hydrology, public science, society

Earthquake prediction is a fool’s errand

If you want to make earthquake scientists jumpy, all you need to do is ask, "can you predict the next earthquake?"

In fact, any variation on the theme of ‘earthquake’ and ‘prediction’ will do – unless it is one which informs you that their combination is impossible.

Use of the word ‘prediction’ implies precise knowledge about an upcoming event, both in space and in time: we think that fault will fail, in an earthquake so big, over this timeframe. But such specificity is exactly what we don’t have, and may never have, when we’re considering the future risk of large earthquakes.

In a geological echo of the uncertainty principle, we can only narrow down the location of a future earthquake if we are very fuzzy about the timeframe over which it will occur, and we can only talk with any confidence about a specific period in which an earthquake of a particular size will occur by greatly expanding the area of the planet we are considering. So we can ‘predict’ there will be a magnitude 6 or greater earthquake somewhere in the world in the next fortnight. We can ‘predict’ that the San Andreas Fault will rupture at some point in the next 250 years. But neither of these predictions are useful: we don’t know even roughly where in the world that magnitude 6 will occur, let alone which fault will rupture to produce it. And we don’t know when in the next 250 years the San Andreas will rupture. It could be tomorrow; it could be two centuries from now; it could be any point in between.

If we confine ourselves geographically to a particular fault or collection of faults, there are two specific timeframes over which a bona fide prediction would be actionable, giving us the chance to meaningfully act to mitigate the worst of the damage and devastation. One is short – days to weeks. If we knew that there was going to be a major rupture on a particular fault in the next few days or weeks, we could evacuate the area at risk, and disaster response could be ramped up in advance of the inevitable damage and casualties. This is the realm of claimed earthquake precursors – a subject which I have written about many, many, many, many times. At best, we don’t understand enough to interpret potential precursor signals ahead of time. At worst, large earthquakes don’t actually generate precursors, because they’re just small earthquakes that happened to keep going.

The other useful timescale is longer. If we could make confident predictions about a major fault rupture in the next few decades, then that could inform specific decisions about where to build the most resilient infrastructure, which populations need to be prepared, and how to train emergency personnel. Unfortunately, the behaviour of faults is highly variable over precisely the sort of 50-100* year timescales that would be useful to us. In places where we can use paleoseismology – the study of the geological record left by earthquakes – to construct a history of multiple large earthquakes over hundreds or thousands of years, we see quasi-periodic behaviour: the average interval between dozens of earthquakes often remains fairly constant, but the interval between any two earthquakes can vary quite significantly from that average. A couple of examples:

Earthquakes can never really be ‘overdue’, because they don’t have a fixed schedule. All we can say for sure is that an active fault will rupture eventually. If scientists have done the hard work of reconstructing the paleoseismic record, we may also know that over many events, the average time gap between them is so many years. But because the gap between individual large earthquakes on a fault can vary by a century or more, we cannot truly know for sure if there is going to be a major earthquake in the next 50 years. This uncertainty will always be with us: it is a fundamental aspect of how large earthquakes seem to work. And, as such, making specific predictions about when the next big earthquake will strike is folly – arguably, even attempting to do so is dangerously misleading, because it tacitly accepts the premise that such a thing is possible, when it isn’t.

Sketch plot of relationship between the timescale of an earthquake prediction and the likelihood of it being true - the curve is a step function, showing a high chance of being wrong for all periods of less than a few centuries

Our certainty about an earthquake occurring within a particular timeframe is only high over periods of centuries or more. For anything less, our prediction has a very high chance of being wrong.

Rather than stating that a large earthquake will definitely happen (or not) in the next 50 years, earthquake scientists must instead grapple with the uncertainties in fault behaviour and estimate the 50 (or 25, or 100) year probability of such an event occurring. Using our knowledge of a fault’s past behaviour, and our assumptions about how deformation in the crust works, we ask the question: if we could run the next 50 years multiple times, how often would we see a big quake?

This approach has it’s limitations. Our knowledge and understanding of the system is not complete, and different assumptions can lead to very different estimated probabilities (here is a good start for understanding these issues). People are also exceedingly bad at interpreting probabilities correctly, particularly in cases such as this: we only get to live through the next 50 years once, and for a single roll of the seismic dice, although certain outcomes are more likely, any scenario with a non-zero probability could happen.

That is not to say these forecasts should be ignored. They represent our current best guess about the seismic risks a region faces, and are a valuable starting point for preparing to meet them. But their core message is that the dice exists, and bad rolls are possible. Even if we don’t know exactly how many sides spell bad things for us, we know that some of them do, and we should prepare accordingly. We don’t know when in the next few hundred years the San Andreas Fault, the Alpine Fault, or the Cascadia subduction zone will rupture, just that they will. We must prepare like it might be tomorrow, and not be surprised if it is instead two centuries from now. With faults, you never can tell which it will be.

"Eeyore said that an Extremely Big Earthquake could happen Very Soon", Piglet squeaked, nervously "Did he?" said Pooh, scratching his nose thoughtfully.  "But is it _true_, Pooh? _Is it_?" "It could happen Very Soon", said Pooh, "but it could also *not* happen for an Extremely Long Time. You never can tell with Earthquakes."

* 50 years – the interval for which we generally construct seismic hazard maps – is the average lifetime of a building.

Categories: deep time, earthquakes, geohazards, geology, ranting, society

Magma making earthquakes on Hawaii

Volcanic happenings are afoot on the Big Island of Hawaii. To be clear, Kilauea has been erupting continuously since 1983, but activity has waxed and waned. The last few weeks have definitely seen an uptick in unrest, with inflation and increasing lava lake levels at the active summit and Pu’u O’o craters. Then, last Tuesday, the floor of the Pu’u O’o crater collapsed as lava drained away – apparently to feed the fissure eruptions that began at the eastern end of the rift zone on Thursday.

All of this has been accompanied by lots of earthquakes, produced directly by magma squeezing its way through the surrounding rock, and also by the deformation of the landscape around the summit as it it moves from one place to another. But can we link the earthquake activity to the volcanic activity on the surface? To answer this question, we can take advantage of the USGS earthquake catalogue search tool, which allows you to export the results in the form of an animated kml file to display in Google Earth:

Animation of earthquake locations around Kilauea volcano between 28 April and 4 May 2018.

Earthquakes around Kilauea on the Big Island of Hawaii between 28 April and 4 May 2018. Orange circles occurred in the final 24 hours of the record. Data from the USGS catalogue.

What’s cool about this animation is that the patterns you can see in the seismic data match the activity on the volcano described above. As the Pu’u O’o lava lake started to drain on the 1st May, causing the crater floor to collapse, you can see a series of earthquakes migrating eastwards from Pu’u O’o, tracking the underground migration of the magma before it began to emerge from the fissures on the Leilani Estates subdivision (which is located exactly at the eastern edge of the yellow earthquake swarm). This nicely processed radar interferogram from Pablo Gonàzlez shows ground displacements that also match up with this narrative, with a long linear zone of intense deformation in the same region as the earthquake swarm. Both are caused by the magma draining sideways and down the Kilauea rift zone.

Ground displacements on Kilauea from comparisons of satellite radar measurements in Mid-April and early May.

Ground displacements on Kilauea from comparisons of satellite radar measurements in Mid-April and early May.

Then yesterday evening, a large magnitude 6.9 earthquake struck the region, and the seismic activity afterwards appears to have largely shifted again, with main three clusters (orange and red circles) to the west of the epicentre and the fissure eruptions.

Earthquakes around Kilauea in the roughly 24 hours following a large magnitude 6.9 earthquake on 4th May 2018.

Earthquakes around Kilauea in the roughly 24 hours following a large magnitude 6.9 earthquake on 4th May 2018.

The focal mechanism of the earthquake – the largest earthquake recorded on Hawaii since a magnitude 7.4 in 1975 – indicates compression on a fault about 5 km below the surface. It is probably related the fact that the whole flank of Kilauea is sliding towards the sea. As the volcano is built upwards by eruptive activity, it spreads outwards along a weak detachment at the contact between the strong oceanic crust that the Big Island is built on top of, and the weaker jumble of fractured lavas and other volcanic debris that it is built from.

Interpreted seismic profile of the underlying structure of Kilauea's south flank.

Interpreted seismic profile of the underlying structure of Kilauea’s south flank. From Denlinger and Morgan 2014 – USGS Professional Paper 1801, Chapter 4.

The most likely explanation is that the large earthquake yesterday evening was caused by sudden motion along this detachment or a fault associated with it: some preliminary GPS data from the USGS indicates that this is indeed the case.

GPS data showing up to 0.5 m of motion due to M6.9 earthquake on 4th May.

GPS data showing up to 0.5 m of motion due to M6.9 earthquake on 4th May, and displacements of up to 2.5 m on simulated rupture. Source: USGS Volcanoes on Twitter.

The three patches of earthquake activity after the earthquake are therefore probably located on the fault surface, and at the top and western edge of the bit of the volcano flank that just moved towards the sea.

What I am pondering right now is the relationship between this earthquake and the earlier magma movement from Pu’u O’o down to Leilani. I have annotated the radar image from above with the approximate location of the magnitude 6.9 earthquake. I think it is possible that the additional seaward stress applied by the dike intrusion helped to trigger this earthquake – although that is a little speculative at this point.

Large earthquake on May 4th located on radar interferogram, showing relationship between earthquake location and magma movement in preceding days.

Large earthquake on May 4th located on radar interferogram, showing relationship between earthquake location and magma movement in preceding days.

We’ll also have to wait and see if this wider collapse of the flank of the volcano is going to have an effect on eruptive activity.

Categories: earthquakes, geohazards, volcanoes