Katharine Ricke’s research while affiliated with University of California, San Diego and other places

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Publications (26)


Starting dialogues on climate change
  • Article

March 2025

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1 Read

Rob Bellamy

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Holly Jean Buck

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Katharine Ricke

Measurements of temperature and precipitation reveal their characteristic spatial correlation length scales. (a) Measurement station locations for temperature in the Global Historical Climatology Network (GHCN) database and their most recent year of reported data in color. (b) Same as (a) but for precipitation. (c) The distance in kilometers from every location on Earth to the nearest 2021 precipitation measurement in the GHCN (note that distances that exceed 100 km have been grouped together for presentation). (d-i) The correlations between monthly local precipitation anomalies (d-f) and temperature anomalies (g-i) measured at stations in three countries (Brazil, Canada, India). In each panel, the pair-wise correlations between station anomalies are plotted along with an exponential fit to the distance between stations and the number of observations for each point in color; this curve provides an estimate of the e-folding distance, or the characteristic spatial correlation scale for each parameter in that region. The vertical line indicates the average size of the Administrative level 1 in each country, as defined as the average of the horizontal of the bounding boxes of each region. Note that the horizontal axes have different limits for the three different countries
(a) and (b) show an estimate of uncertainty in T and P, respectively, in units of interannual standard deviation, using NOAA/CIRES/DOE reanalysis data. Both panels show the relative magnitude of the range of T and P in an ensemble of reanalysis data (1980–2015) compared to the variability in mean T and P over time, as an estimate of how much measurement uncertainty. The ratio of ensemble variability to temporal variability highlights the measurement uncertainty in locations with few surface stations. Resulting distributions of the equivalence between the true and estimated marginal effects of T and P caused by adding random error in proportion to (a) and (b) are shown in the solid lines in (c) and (d). Reversing the spatial distribution from the (a) and (b) results in the dashed distribution, and randomizing the location of error results in the dotted distribution. Light colors indicate the marginal effects at normalized T = 0.2 and dark colors indicate marginal effects at normalized T = 0.8
Projected change in country GDP per capita in 2050 relative to 2010 using a quadratic model of GDP per capita growth at the (a) pixel, (b) administrative unit, and (c) country level. The pixel and administrative versions were summed with population weighting to the country level for direct comparability
Correlation between T and P and the resulting bias in linear regression coefficients in the presence of measurement error. (a) shows the map of global cor(T,P) in the University of Delaware (UDEL) dataset (1960–1989). (b) shows the population-weighted histogram, using 2015 population, of cor(T,P) for the same map as in (a), the CESM2 equivalent, and a CESM2 future simulation (2040–2069). Bias in the T coefficient from linear regressions is shown in (c), and bias in the P coefficient is shown in (d). Temperature and precipitation are given approximately equal weight in contributing to the simulated outcome and for simplicity, T is assumed to have zero error, while P is given between zero and one standard deviation of random normal error. Each simulation was conducted with 50 observations per unit (i), and 30 cross-sectional units. Each model was estimated 10 times; plots show the average coefficient or outcome estimates across those 10 simulations
The bias in sensitivities (i.e., the ratio of the estimated to true marginal effects) introduced by either including imperfectly measured precipitation (P) or omitting P in regression models with an idealized dependent variable and specified dependencies on T and P. Results are shown for different levels of spatial aggregation (different colors), and for different levels of T and P influence on the idealized outcome (shading). The T:P ratio indicates the ratio of the true (specified) T and P quadratic coefficients, meaning that T and P are equally impactful on the outcome when the ratio is 1 (dark shading) and T is 10 × more impactful than P when the ratio is 10 (light shading). (a) shows equivalence values for cold regions (normalized T = 0.2), and (b) shows the same for warm regions (normalized T = 0.8)

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Estimating the impacts of climate change: reconciling disconnects between physical climate and statistical models
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  • Full-text available

February 2025

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47 Reads

Climatic Change

Climate impacts studies often rely on empirical statistical methods to isolate the effects of changing environmental factors on human outcomes of interest. However, this research may not always account for the ways in which the underlying structure of climate might influence estimates from such models. Here we show how the different characteristic spatial scales of temperature (T) and precipitation (P), as well as the physical relationship between T and P, lead to biased historical and projected impact estimates in standard statistical approaches. Furthermore, we demonstrate how contemporary statistical research designs that exploit local fluctuations may unintentionally mis-characterize the influence of shifts in mean climate on outcomes of interest. Drawing on data from published studies we demonstrate these three issues; we focus primarily on the economic growth literature, though our results also apply to other contexts. We also propose several avenues to correct and bound the magnitude of the identified biases.

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Diminished efficacy of regional marine cloud brightening in a warmer world

June 2024

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174 Reads

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11 Citations

Nature Climate Change

Marine cloud brightening (MCB) is a geoengineering proposal to cool atmospheric temperatures and reduce climate change impacts. As large-scale approaches to stabilize global mean temperatures pose governance challenges, regional interventions may be more attractive near term. Here we investigate the efficacy of regional MCB in the North Pacific to mitigate extreme heat in the Western United States. Under present-day conditions, we find MCB in the remote mid-latitudes or proximate subtropics reduces the relative risk of dangerous summer heat exposure by 55% and 16%, respectively. However, the same interventions under mid-century warming minimally reduce or even increase heat stress in the Western United States and across the world. This loss of efficacy may arise from a state-dependent response of the Atlantic Meridional Overturning Circulation to both anthropogenic warming and regional MCB. Our result demonstrates a risk in assuming that interventions effective under certain conditions will remain effective as the climate continues to change.


Targeted marine cloud brightening can dampen El Ni\~no

June 2024

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172 Reads

Many record-breaking climate extremes arise from both greenhouse gas-induced warming and natural climate variability. Marine cloud brightening, a solar geoengineering strategy originally proposed to reduce long-term warming, could potentially mitigate extreme events by instead targeting seasonal phenomena, such as El Ni\~no-Southern Oscillation (ENSO). By exploiting the 2019-2020 Australian wildfire experiment-of-opportunity, we show that simulated marine cloud brightening in the southeast Pacific reproduces observed cloud changes and induces La Ni\~na-like responses. We then explore how cloud brightening timing and duration modifies the 1997-1998 and 2015-2016 El Ni\~no events. We find the earliest and longest interventions effectively restore neutral ENSO conditions and dampen El Ni\~no's impacts. Solar geoengineering that targets climate variability could complement tools such as ENSO forecasting and provide a pathway for climate risk mitigation.



How may solar geoengineering impact global prospects for climate change mitigation?

November 2023

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17 Reads

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2 Citations

Oxford Review of Economic Policy

As disruptions from climate change increase, so will the urgency to find shorter-term approaches to ameliorating its harms. This may include calls to implement solar geoengineering, an approach to cooling the planet by reflecting incoming sunlight back to space. While the exact effects of solar geoengineering are still highly uncertain, physical science to date suggests that it may be effective at reducing many aspects of climate change in the short term. One of the biggest concerns about solar geoengineering is the extent to which it may interfere with crucial emissions reductions policies, i.e. mitigation. There are multiple channels by which geoengineering could alter mitigation pathways, both financial and behavioural. Here we define three such linkages and present the evidence available to constrain their potential magnitudes. Because solar geoengineering is not a substitute for mitigation, policies to develop or implement technologies that could be used to carry it out should be designed to accentuate its complementary nature to mitigation and deter the possibility it is used to delay decarbonizing the economy.


WordCloud of the most common self-identified fields and sub-fields of expertise from workshop participants.
Current position, gender, and data integration experience of workshop participants. Note: Graphs represent 22 of the 33 workshop participants.
Connecting Physical and Social Science Datasets: Challenges and Pathways Forward

September 2023

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121 Reads

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7 Citations

The integration of physical and social science data can enable novel frameworks, methodologies, and innovative solutions important for addressing complex socio-environmental problems. Unfortunately, many technical, procedural, and institutional challenges hamper effective data integration – detracting from interdisciplinary socio-environmental research and broader public impact. This paper reports on the experiences and challenges of social and physical data integration, as experienced by diverse Early Career Researchers (ECRs), and offers strategies for coping with and addressing these challenges. Through a workshop convened by the National Center for Atmospheric Research (NCAR) Innovator Program, 33 participants from different disciplines, career stages, and institutions across the United States identified four thematic data integration challenges related to complexity and uncertainty, communication, scale, and institutional barriers. They further recommended individual, departmental, and institutional scale responses to cope with and address these integration challenges. These recommendations seek to inform faculty and department support for ECRs, who are often encouraged – and even expected – to engage in integrative, problem-focused, and solutions-oriented research.


Fig. 1. Comparison of observed and model low cloud fraction and the modeled temperature response from two marine cloud brightening schemes. a, Mean 1984-2009 observed low cloud fraction from March to November from the International Satellite Cloud Climatology Project (ISCCP) (see 'International Satellite Cloud Climatology Project (ISCCP)
Fig. 2. Change in Western U.S. summer heat exposure to marine cloud brightening. a, Relative risk of MCB on Western U.S. summer (JJA) mean number of people-days exceeding the Danger [Apparent temperature (AP) ≥ 39°C], Extreme Caution [AP ≥ 32°C], and Caution [AP ≥ 27°C] heat thresholds using the bias-corrected AP under 2010 and 2050 conditions. b,
Fig. 3. Present and future responses in summer apparent temperature and annual mean
Fig. 4. Nonlinear Atlantic Meridional Overturning Circulation (AMOC) response to MCB. a, Change in AMOC to mid-latitude MCB under 2050 conditions. The x-axis shows the latitude of the zonal mean, the y-axis shows depth from the sea surface, and the shading shows the AMOC strength in Sverdrups (Sv). 30-year difference from monthly mean output is plotted. b, Mean AMOC strength at a reference point (Lat: 35 °N; Depth: 1000 m; denoted by the star
Unexpected failure of regional marine cloud brightening in a warmer world

September 2023

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363 Reads

Marine cloud brightening is a solar geoengineering1–3 proposal to cool atmospheric temperatures and reduce some impacts of climate change. To-date, modeling studies of solar geoengineering have primarily focused on large-scale schemes with objectives of stabilizing or mediating changes in global mean temperature4–7. However, these global proposals pose substantial governance challenges8–10, making regional interventions tailored toward targeted climate outcomes potentially more attractive in the near-term. In this study, we investigate the efficacy of regional marine cloud brightening in the North Pacific designed to mitigate extreme heat in the Western United States. We find cloud brightening in a remote mid-latitude region cools our target region more than brightening in a proximate subtropical region, but both schemes reduce the relative risk of dangerous summer heat exposure under present-day conditions, by 39% and 25% respectively. However, the same cloud brightening interventions under mid-century warming produce significantly hotter rather than cooler summers, both in the Western U.S. and other areas of the world. We trace this loss of efficacy to a nonlinear response of the Atlantic Meridional Overturning Circulation to the combination of greenhouse gas driven warming and regional cloud brightening. Our result demonstrates a risk in assuming that regional interventions that are effective under certain conditions will remain effective as the climate continues to change.


Fig. 1. National-and state-level relative disparities in air pollution exposure by race and ethnicity in the contiguous United States. (A) Bars indicate national (Top)-and state-level disparities for each racial/ethnic group. The bar color indicates the average absolute exposure to respirable particulate matter (PM 2.5 ) of each group within each state in the 2010s. The red triangles show 2010 (light red) and 2019 (dark red) disparities, estimated from fitting a linear trend through annual disparities. (B) Maps of the contribution of each tract to national disparities, which is calculated as the product of tract PM 2.5 concentration and the population of the specified group in each tract, divided by the total national population of that group. The sum of the national contributions values yields the population-weighted exposures for each group.
Fig. 2. Exposures and disparities of PM 2.5 after implementing idealized policy priorities to meet emission reduction targets. (A) Total average national PM exposure, (B) national disparities by demographic group, (C) annualized costs of mitigation, and (D) absolute exposure difference by demographic group. Absolute exposure difference refers to the difference in exposure from the Unmodified 2017 total exposure in (A). All pathways lead to reductions in absolute PM 2.5 exposures and entail annualized costs of $190 to 340 billion. The No Industry and No Agriculture simulations, marked with asterisks, are not NDC constrained and do not have cost estimates.
Fig. 3. Sectoral influence in randomized experiments. National POC exposure as a function of cost, colored by reductions in residential emissions (A), and national population-average exposure colored by reductions in transportation emissions (B). There is little relationship between cost and POC exposure, but POC exposure and total exposure are strongly correlated. Costs in the randomized experiments are strongly dependent on the residential sector (A) and POC exposures tend to be lower when more transportation emissions are reduced (B).
Fig. 4. Disparity and exposure changes and transportation influence in randomized experiments. (A) Distributions of changes in national disparity relative to the Unmodified 2017 case for each randomized experiment (N = 300 per distribution) (B) Distribution of state disparities (N = 48 per distribution) in each randomized experiment (faint solid lines, N = 300 distributions) and the Unmodified 2017 case (darker dashed lines). (D and E) Equivalent distributions as for (A) and (B), using exposure instead of disparity. (C and F) Distributions of state-level linear regression coefficients (N = 48 per distribution) from modeling disparity (C) and exposure (F) using fractional change in all the four sectors; only transportation coefficients are shown as they have the most disparate impact.
Air quality equity in US climate policy

June 2023

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71 Reads

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18 Citations

Proceedings of the National Academy of Sciences

The United States government has indicated a desire to advance environmental justice through climate policy. As fossil fuel combustion produces both conventional pollutants and greenhouse gas (GHG) emissions, climate mitigation strategies may provide an opportunity to address historical inequities in air pollution exposure. To test the impact of climate policy implementation choices on air quality equity, we develop a broad range of GHG reduction scenarios that are each consistent with the US Paris Accord target and model the resulting air pollution changes. Using idealized decision criteria, we show that least cost and income-based emission reductions can exacerbate air pollution disparities for communities of color. With a suite of randomized experiments that facilitates exploration of a wider climate policy decision space, we show that disparities largely persist despite declines in average pollution exposure, but that reducing transportation emissions has the most potential to reduce racial inequities.



Citations (16)


... A recent study concluded that MCB can reduce the risk of heat waves by up to 55% in the remote mid-latitudes and 16% in the near subtropics (Wan et al., 2024). However, under projected warming conditions for the middle of the century, this technique has reduced effectiveness or even increased heat stress in the western United States and globally. ...

Reference:

Climate Intervention Techniques: Pros and Cons
Diminished efficacy of regional marine cloud brightening in a warmer world

Nature Climate Change

... Another challenge that IDR researchers typically face is a lack of support from colleagues. The reason is that many researchers either have an insufficient understanding of IDR (Wang, Notten, and Surpatean 2013;Wowk et al., 2017; Mazzocchi 2019; Weber and Syed 2019), or their own disciplinary culture is strongly developed (Shellock et al., 2022;Halfon and Sovacool 2023;Shah et al., 2023), leading to a lack of appreciation for this type of research (Rhoten and Pfirman 2007;Hall et al., 2008). These challenges are even more pronounced when considering that academic reward systems tend to favor disciplinary research over interdisciplinary efforts (Ylijoki 2022). ...

Connecting Physical and Social Science Datasets: Challenges and Pathways Forward

... While these efforts have contributed to an overall improvement in U.S. air quality, relative racial and ethnic disparities in exposure and health outcomes persist, and in some cases, have increased. For example, from 2010 to 2019, relative racial disparities in PM 2.5 -attributable mortality and NO 2 -attributable pediatric asthma have grown in the U.S. (Polonik et al., 2023;Kerr et al., 2024b). This growing recognition of persistent relative racial disparities has increased demand for policy interventions aimed at systematically reducing inequities (Wang et al., 2023). ...

Air quality equity in US climate policy

Proceedings of the National Academy of Sciences

... "Solar geoengineering is scary-that's why we should research it," says climate scientist Kate Ricke in a recent commentary published in the journal, Nature (Ricke, 2023). The need for more research on solar geoengineering primarily rests on the notion that we need to know much more to make an informed decision on this speculative technology. ...

Solar geoengineering is scary — that’s why we should research it
  • Citing Article
  • February 2023

Nature

... Both CDR and SRM have their downsides, risks, and potential for unforeseen consequences (Honegger et al., 2021;Ricke et al., 2023;Sovacool et al., 2023). They provoke controversy as well, in part because they are seen to distract from necessary mitigation efforts and questions about their triggering "false hope" (McLaren, 2016;Preston, 2013). ...

Hydrological Consequences of Solar Geoengineering
  • Citing Article
  • February 2023

Annual Review of Earth and Planetary Sciences

... (e.g., Ard 2015;Alvarez 2023;Bluhm et al. 2022;Brazil 2022;Ehler et al. 2024;Diekmann et al. 2023;Hipp and Lakon 2010;Mohai and Saha 2015a;König 2024;Neier 2023;Pellow 2016). Yet, the question of how selective residential sorting-where advantaged groups move out of, and disadvantaged groups move into, more polluted areas-contributes to environmental inequalities remains a topic of ongoing debate. ...

Disparate air pollution reductions during California’s COVID-19 economic shutdown

Nature Sustainability

... These regions, which we refer to as the permafrost domain ( Figure 1), contain between 2.5 and 3 trillion tons of organic carbon-more than all of Earth's other life, soil, and atmosphere combined (Hugelius et al., 2014;Abbott et al., 2016b;Sayedi et al., 2020;Mishra et al., 2021;Abbott B. W., 2022;Schuur et al., 2022). The permafrost domain is home to tens of millions of people, including diverse Indigenous and immigrant cultures that both depend on and sustain these globally-significant ecosystems (Riedlinger and Berkes, 2001;Parkinson and Berner, 2009;Pearce et al., 2009;Chapin et al., 2013;Díaz et al., 2019;Proverbs et al., 2020;Ellis et al., 2021;Mettiäinen et al., 2022). The permafrost domain's three-fold importance-biodiversity, climate, and human peoples-means that governments, corporations, and communities within and outside of these regions must commit to preventing dangerous environmental change (Chapin and Díaz, 2020;Whyte, 2020;Chapin, 2021;Natali et al., 2021;Arctic Council, 2022). ...

“Bog here, marshland there”: Tensions in co-producing scientific knowledge on solar geoengineering in the Arctic

... Conversely, those who are not familiar with it may revert to their ideological predispositions on climate change. Public awareness of SG is crucial for facilitating engagement, avoiding misconceptions, and ultimately shaping well-informed climate policies (Keith, 2013;Morton, 2015;Debnath et al., 2023;Aldy et al., 2021;Müller-Hansen et al., 2023). Research supports the idea that clear, nonpartisan information can reduce polarization, even among initially skeptical conservatives. ...

Social science research to inform solar geoengineering

Science

... The importance of legitimacy and procedural justice in SAI SAI is a high leverage institution that could be called into play at relatively short notice, as said. It is, however, hampered by a lack of factual knowledge and fraught by physical and socio-political issues (Halstead, 2018) that pose not only moral hazards (McLaren, 2016;Tsipiras and Grant, 2022) and governance problems (Horton and Reynolds, 2016;Pasztor et al., 2017;Reynolds, 2019;McLaren and Corry, 2021), but even fears that it is ungovernable (Talberg et al., 2018;Dove et al., 2021). ...

The middle powers roar: Exploring a minilateral solar geoengineering deployment scenario
  • Citing Article
  • July 2021

Futures