Northwestern United States Research Articles

The impact of wildfire smoke exposure on excess mortality and later-life socioeconomic outcomes: the Great Fire of 1910

AbstractThe Great Fire of 1910 in the northwestern United States burnt more than 1.2 million hectares in just two days and stands as one of the largest wildfires ever recorded. While it is known for having led to the introduction of a rigorous fire suppression regime that lasted for much of the twentieth century, it also generated a considerable amount of smoke far beyond the burnt areas that is likely to have impacted the health of those exposed. This paper examines the short- and long-term impact of this fire-sourced smoke pollution on children, combining historical data with smoke emission and dispersion modelling. The econometric results indicate a 119% increase in excess mortality during the week of the fire and a decrease of 4–14% in later-life socioeconomic status scores 20 and 30 years after the event. This research offers novel insights into wildfire smoke repercussions on health and long-run human capital formation in a setting where avoidance behaviour was minimal.

Religious Characteristics of Nurses Who Refer Patients to Chaplains at a Catholic Hospital in the Northwestern USA.

The purpose of this study was to assess the association between nurse religiosity and decision to consult spiritual care services at a hospital in the western USA. An anonymous survey was distributed to assess nurses' reports of whether they would request spiritual care services across different scenarios. Out of 171 nurses approached to participate in this survey, fifty-one nurses completed the survey and half of respondents considered themselves religious. Compared to non-religious nurses, religious nurses reported greater likelihood to contact a chaplain across a variety of patient and family scenarios, including when a patient has a new diagnosis, is anxious or depressed, or has a challenging family situation.

Understanding What Drives the Adoption of Data Analytics Among Academic Leaders and Supervisors in a Jewish Higher Education Institution

This study explores the determinants influencing the adoption of Big Data Analytics (BDA) within the Jewish higher education system centered in the Northwestern United States of America, emphasizing the impact of six key factors: Absorptive Capacity, Technological Resource Competency, Competition Intensity, Complexity, Compatibility, and Relative Advantage, alongside participants' age. Utilizing a quantitative methodology, the research surveyed 64 managerial role employees across the academic institution. Results from multiple regression analysis indicate a statistically significant relationship between these factors and the behavioral intention toward BDA adoption, with Compatibility emerging as the predominant predictor. This finding underscores the critical role of perceived consistency with existing needs and practices in influencing BDA adoption intentions. Moreover, Marketing Department Leadership exhibited significantly lower ratings in both Absorptive Capacity and behavioral intention toward BDA adoption based on a MANOVA analysis compared to other types of academic institutional leaders, suggesting a discrepancy in recognizing and leveraging new external information for competitive advantage within this group. The study concludes with recommendations for higher education institutions aiming to transition towards data-driven decision-making, highlighting the importance of fostering an organizational culture that values data literacy and aligns BDA initiatives with institutional goals. Limitations and directions for future research are also discussed, advocating for a broader investigation into behavioral intentions and the potential benefits of applying the Decomposed Theory of Planned Behavior in understanding BDA adoption.

Recruiting Practices in Informal CS Learning

Introduction: Computer science (CS) lacks representation from people who identify as one or more of the following identities: woman, Black, Indigenous, Hispanic, Latina/Latino/Latinx, or disabled. We refer to these groups as historically underrepresented groups (HUGs). Informal learning, like CS summer camps and hackathons, can increase interest in K-12 students but still struggles to broaden participation. Objectives: In this study, we examine one source of struggle for informal learning programs: recruiting practices. Methods: Toward the goal of understanding this struggle, we interviewed 14 informal K-12 CS learning programs across a diverse region in the Northwestern United States to understand what recruiting practices are being used. We used a cultural competency lens to examine the variation within recruiting practices and how some practices could lead to broader participation in computing. Results: We identified 18 different recruiting practices used by informal CS learning program organizers. Some programs had similar practices, but subtle differences in implementation that led them to fall at different points on the cultural competence continuum. More culturally competent implementations generally involve reflection on the needs of specific populations that programs were trying to recruit, on why previous recruiting implementations did not work, and on feedback from stakeholders to change their implementations. This is the first article to investigate how the implementation of the recruiting practice determines its cultural competency. Conclusion: Results from this study illuminate some of the problems informal CS programs face in broadening participation in computing and provide insights on how program organizers’ can overcome them. Our work highlights how students or parents access resources, the challenges program organizers encounter, and whether current recruiting practices effectively engage students from HUGs.

Bacteriological analysis of unionid hemolymph collected from freshwater mussel populations in the Pacific northwestern United States

AbstractNative freshwater mussel (Unionidae) mortality events have been occurring with increased frequency in recent decades, with few investigations into potential etiological agents. In the western United States, no surveys have been published regarding the bacteria associated with unionid mussels. Herein, we examine locations of known mussel mortality events in the Chehalis River (Washington), in the Crooked River (Oregon), and Owyhee River (Oregon). Mussel populations considered healthy were sampled in the Skookumchuck River (Washington) for comparison. A variety of bacteria were isolated from these populations, and most notably, Acinetobacter spp. were identified from 82% of moribund individuals of Gonidea angulata in the Owyhee River. Future work evaluating whether Acinetobacter spp. are pathogenic to freshwater mussels could be valuable in unraveling the factors associated with these enigmatic mortality events.

Substantial Cold Bias During Wintertime Cold Extremes in the Southern Cascadia Region in Historical CMIP6 Simulations

AbstractGlobal climate models often simulate atmospheric conditions incorrectly due to their coarse grid resolution, flaws in their dynamics, and biases resulting from parameterization schemes. Here we document a bias in the magnitude and extent of minimum temperature extremes in the CMIP6 model ensemble, relative to ERA5. The bias is present in the southern Cascadia region (i.e., Pacific Northwestern United States and southwestern British Columbia, Canada, spanning from the coast to the Rocky Mountains), with some models showing a bias magnitude in excess of −10°C in the first percentile of daily winter minimum temperature. The sea level pressure pattern for these events is similar in CMIP6 models and ERA5, showing high anomalies in the Northeast Pacific that are indicative of an atmospheric blocking pattern and consequently more northerly flow. Though this atmospheric blocking pattern is typically concurrent with cold winter temperatures across much of North America, Rocky and Cascade mountain ranges prevent the cold air from reaching the southern Cascadia region as confirmed by the observations and reanalysis. Our results suggest that the bias in CMIP6 minimum temperatures is a result of unresolved topography in the Rockies and Cascade mountain ranges, such that the terrain does not adequately block cold air advection from reaching the southern Cascadia region.

The Recipe of Cultural Intelligence and Racial Diversity in Predicting Food Neophobia: A Stepwise Regression Analysis Approach

This study explored how the cultural intelligence (CQ) and the racial/ethnic experiences of 172 undergraduate students from a Northwestern United States university influenced their levels of food neophobia. Two instruments, the Cultural Intelligence Scale (CSQ) and the Food Neophobia Scale (FNS), were used to collect observations from the sample population (Ang & Dyne, 2008; Pliner & Hobden, 1992). Demographic questions and those related to the racial/ethnic background of participants were also incorporated into the survey. The stepwise regression analysis revealed significant relationships between cultural intelligence, having more than one or multiple ethnic/racial backgrounds or experiences, and food neophobia scores. Findings suggested greater cultural intelligence and more exposure to ethnic/racial backgrounds or experiences are related to lower levels of food neophobia. These results underscore the importance of cultural competence and inclusivity in higher education to promote culinary diversity and minimize food neophobia. Colleges and universities must take note of these important dining findings, which are vital to enrollment and retention strategies and the well-being of their students.

Estimating the effects of smolt size and migration timing on salmon marine survival using a multivariate mixed‐effect model

Abstract When the conditions encountered by a migratory species are highly variable, the timing of migration and migrant condition are critical to survival. Spring/summer‐run Chinook salmon in the Snake River of the Northwestern United States are listed as threatened under the US Endangered Species Act because of decades of poor adult returns; juvenile smolt‐to‐adult survival is often 0.5% or less. Juveniles pass through eight dams en route to the ocean, and despite changes to the hydropower system, there has been little recent improvement in survival. We analysed the effect of migration date, fish length and their interaction on the survival to adulthood of 409,747 wild juvenile Chinook salmon as they migrated through a large, dynamic riverine ecosystem and through the ocean, measured over 20 years. Parametric 2D smoothers are often used to quantify unexplained heterogeneity across space; however, these same statistical models can be applied to 2D datasets to uncover patterns of covariance of two biological processes important to management actions. We employ Gaussian Markov random fields (GMRF) and a 2D smoother to estimates of fish survival to identify the nature of variation in survival with respect to length and date. We found significant effects of fish length, migration date and the date‐by‐length interaction on resulting riverine and marine survival. Unlike the gradual shifts in survival in relation to length and timing that marginal estimates demonstrate, we show that within year, changes in survival with length and timing are often more abrupt than previously thought. Synthesis and applications: Inter‐annually, we identified distinct combinations of fish length and migration timing leading to elevated smolt‐to‐adult survival. Often these ‘hotspots’ are compressed into fish sizes greater than 100 mm and passage timings of only a week or two, demonstrating that even modest shifts in body size and migration timing can have a significant effect on survival. Further research can concentrate on these distinct annual periods to identify sources of mortality that have previously been elusive.

Threshold friction velocity influenced by soil particle size within the Columbia Plateau, northwestern United States

Threshold friction velocity influenced by soil particle size within the Columbia Plateau, northwestern United States

Immediate Effects of Mindful Awareness in Body-oriented Therapy as an Adjunct to Medication for Opioid Use Disorder.

While effective, medication for opioid use disorder (MOUD) treatment outcomes can be limited by co-occurring polysubstance use, mental health and chronic pain conditions. Interoceptive training may facilitate well-being and support medication treatment for MOUD. This study examined the pre-post effects of the mindfulness-based intervention Mindful Awareness in Body-oriented Therapy (MABT) as an adjunct to MOUD. MABT teaches interoceptive awareness skills to promote self-care and emotion regulation. People stabilized on medication for OUD (N = 303) from 6 community clinics in Northwestern United States were recruited and randomly assigned to MABT plus MOUD or MOUD only. In a mixed-methods study, we used an intent-to-treat approach to examine the proportion of days abstinent from non-prescribed opioids, and other substance use (primary outcomes) at baseline and 3 months post-intervention. Secondary outcomes included symptoms of mental health distress; emotional regulation difficulties; pain and physical symptom indicators; interoceptive awareness and mindfulness skills. Participant experience of MABT was collected through post-intervention surveys. Changes in outcomes were assessed using linear mixed models; content analysis was used to analyze the qualitative data. Levels of overall substance use were low and did not differ between groups. Significant improvements in PTSD symptoms, interoceptive awareness, pain severity, pain activity interference, and physical symptom frequency were found for those who received MABT compared to MOUD only. In this stable MOUD population, substance use outcomes were not improved, however MABT demonstrated significant positive changes across multiple health outcomes critical for improving MOUD treatment. Clinical Trials Registration: NCT04082637 on 9/3/2019.

Continental-scale drainage reorganization during Mesoproterozoic orogenesis: Evidence from the Belt Basin of western North America

The Mesoproterozoic Belt Basin of the northwestern United States and southwestern Canada contains a 5–20-km-thick metasedimentary succession deposited during an important transition in the Precambrian development of North America. Key unresolved issues for the Belt Basin include the chronology of deposition, sources of siliciclastic sediment, and regional paleogeography during Laurentian orogenesis. To address these topics, we acquired detrital zircon U-Pb geochronologic data for eastern exposures of the Belt-Purcell Supergroup in the Lewis thrust salient along the USA-Canada border. To define an integrated chronostratigraphic and provenance framework for the Belt Basin, we calculated maximum depositional ages and qualitatively and quantitatively compared our geochronologic data set to a compilation of Laurentian igneous and metamorphic zircon U-Pb ages using multidimensional scaling and an inverse Monte Carlo model. The results suggest a stratigraphic age range of ca. 1495–1380 Ma, constituting a depositional duration of ~115 m.y. with an average sediment accumulation rate of ~40 m/m.y. for the studied locality (extrapolated to ~155 m/m.y. for the basin depocenter). Variations in sediment provenance are expressed by three distinct intervals within the Belt-Purcell Supergroup. The lower Belt Supergroup succession (Waterton to lower Helena Formations; ca. 1495–1440 Ma) is dominated by Paleoproterozoic and Archean grains derived from the northeastern Canadian Shield. The middle Belt Supergroup succession (upper Helena to Sheppard Formations; ca. 1440–1420 Ma) displays mixed early Mesoproterozoic, late Paleoproterozoic, and Archean zircon age groups. The upper Belt Supergroup succession (Gateway to Roosville Formations; ca. 1420–1380 Ma) contains almost entirely late Paleo-proterozoic zircons sourced from the south (Yavapai-Mazatzal and Mojave crustal provinces). We interpret sediment provenance to reflect a continental-scale, fluvial drainage reorganization during middle Belt Supergroup deposition that can be linked to the recently recognized Picuris orogeny.

Disparities Based on Demographic Features in the Intensity and Treatment of Chronic Pain in US Patients With Spinal Cord Injury

ObjectiveInformed by Minority Stress Theory, to investigate disparities in pain intensity, interference, and care in patients with spinal cord injuries (SCI) based on demographic features. DesignCross-sectional survey. SettingOutpatient SCI clinics in 2 academic medical centers in the northwestern United States. ParticipantsSample of 242 SCI clinic patients who endorsed SCI-related pain, were ≥18-years-of-age, English-fluent, not diagnosed with bipolar or psychotic disorders, and able to make their own medical decisions. Participants were 74.8% men, an average of 48.5 years (range 18.1-89.8 years), 76.2% White, 31.9% privately insured, and 64.7% making <$50,000 per year. InterventionsNot applicable. Main Outcome MeasuresExploratory analyses of screening data from a randomized controlled trial for pain treatment. Primary outcomes included pain intensity, pain interference, and the patient report of recommended pain treatments by a medical provider, tried by the patient, or that the patient would be willing to try. ResultsMore treatments recommended was associated with younger age (ρ=−0.14, 95% confidence interval [CI]: −0.01 to −0.27, P=.03) and private insurance (ρ=-0.15, 95% CI: 0.02-0.27, P=.03), whereas more treatments tried was associated with private insurance alone (ρ=0.20, 95% CI: 0.07-0.32, P=.003). Number of treatments willing to be tried was associated with lower income (ρ=−0.15, 95% CI: −0.02 to −0.28, P=.03). SCI patients of color (PoC) reported higher pain intensity (Cohen's d=0.41, 95% CI: 0.11-0.71) and greater odds of receiving psychotherapy for pain (odds ratio: 7.12, 95% CI: 1.25-40.46) than their White peers. ConclusionsThese exploratory findings indicate differences in SCI-related pain intensity based on identifying as PoC, and differences in SCI-related pain treatment modalities based on identifying as PoC, age, insurance type, and income. Further work exploring differences in SCI-related pain care based on patient social identities is warranted.

River–aquifer interactions enhancing evapotranspiration in a semiarid riparian zone: A modelling study

AbstractThe hydrologic flows across the river–aquifer interface play an important role in groundwater dynamics and biogeochemical reactions within the subsurface; however, little is known about the effects of river–aquifer interactions on land surface processes. In this study, we developed a fully coupled three‐dimensional (3D) land surface and subsurface model at a high resolution (~1 km) that accounts for high‐frequency hydrologic exchange flow conditions to investigate how river–aquifer interactions modulate surface water budgets in the Upper Columbia‐Priest Rapids watershed, a typical semiarid watershed located in the northwestern United States where river stage fluctuates in response to reservoir releases changing. Our results show that the spatiotemporal dynamics of river–aquifer interactions are highly heterogeneous, driven mainly by river‐stage fluctuations. Adding 6.64 × 106 m3 year−1 of water over the watershed from the river to groundwater owing to the lateral flow, river–aquifer interactions led to an increase in soil evaporation and transpiration supplied by higher soil moisture content, particularly in deeper subsurface. In a hypothetic future scenarios where a 5‐m rise in river stage was assumed, the hydrologic flow exchange rates were intensified, resulting in higher surface water over the entire watershed. Overall, lateral flow induced by river–aquifer exchanges leads to an increase in evapotranspiration of ~75% in the historical period and of ~83% in the hypothetical future scenario. Our study demonstrates the potential of coupled model as an effective tool for understanding river–aquifer–land surface interactions, and indicates that river–aquifer interactions fundamentally alter the water balance of the riparian zone for the semiarid watershed and will likely become more frequent and intense in the future under the effects of climate change.

Advancing the ecological narrative: documentation of broadnose sevengill sharks (Notorynchus cepedianus) in South Puget Sound, Washington, USA

The broadnose sevengill shark (Notorynchus cepedianus) is a large, apex predator found in temperate waters around the world. Yet data on their distribution are limited, with reports of species occurrence typically restricted to specific bays or estuaries where they have been historically observed in high seasonal abundances. The Puget Sound is located in the southern portion of the Salish Sea, a large estuary spanning the border between northwestern Washington state, USA and southwestern British Columbia, Canada, and serves as an economic, cultural, and ecological hub. Until recently, there was only one verified record of broadnose sevengill sharks in the Salish Sea and none in the Puget Sound. However, our recent multi-agency collaborative effort revealed the presence of adult and sub-adult broadnose sevengill sharks in South Puget Sound, extending their previously known range hundreds of kilometers and into a new ecosystem. This work represents the first evidence of a significant presence of these apex sharks within the Salish Sea.

The usefulness of the magnetic susceptibility of loess paleosol sequences for paleoclimate and stratigraphic studies: The case of the Quaternary Palouse loess, northwestern United States

Worldwide, Quaternary loess-paleosol sequences archive terrestrial paleoenvironmental information. The Palouse loess in the northwestern USA is one such deposit representing at least a million years of sediment accumulation. Loess paleosol sequences are often studied via the magnetic susceptibility of sediments and the changes in susceptibility with depth. However, since variations in magnetic susceptibility can have different underlying causes, the interpretation of the magnetic susceptibility of loess depends on factors specific to each major loess region. We measured the magnetic susceptibility of sediments along depth profiles in a well-studied exposure of the Palouse loess in eastern Washington, USA (the “CLY-2 site,” 46.3131° N, 118.4874° W, WGS84). Our measurements show that the magnetic susceptibility of sediments in the Palouse loess varies systematically and predictably with depth and can be correlated with other magnetic susceptibility profiles at the outcrop scale and at the regional scale. We also measured changes in grain size, elemental abundance, mineralogy, and other magnetic properties to determine the most likely cause of the magnetic susceptibility signal. Based on these results, variations in magnetic susceptibility in the Palouse are likely driven mostly by changes in coarse sediment supply and accumulation of tephra rather than changes in weathering. Magnetic susceptibility is useful as an inexpensive, non-destructive tool for stratigraphic correlation of Quaternary loess deposits in the Palouse, especially in combination with paleosol stratigraphic markers and known tephra deposits.

Mountaintop Removal Coal Mining Contaminates Snowpack across a Broad Region.

Mountaintop removal coal mining is a source of downstream pollution. Here, we show that mountaintop removal coal mining also pollutes ecosystems downwind. We sampled regional snowpack near the end of winter along a transect of sites located 3-60 km downwind of coal mining in the Elk River valley of British Columbia, Canada. Vast quantities of polycyclic aromatic compounds (PACs), a toxic class of organic contaminants, are emitted and transported atmospherically far from emission sources. Summed PAC (ΣPAC) snowpack concentrations ranged from 29-94,866 ng/L. Snowpack ΣPAC loads, which account for variable snowpack depth, ranged from <10 μg/m2 at sites >50 km southeast of the mines to >1000 μg/m2 at sites in the Elk River valley near mining operations, with one site >15,000 μg/m2. Outside of the Elk River valley, snowpack ΣPAC loads exhibited a clear spatial pattern decreasing away from the mines. The compositional fingerprint of this PAC pollution matches closely with Elk River valley coal. Beyond our study region, modeling results suggest a depositional footprint extending across western Canada and the northwestern United States. These findings carry important implications for receiving ecosystems and for communities located close to mountaintop removal coal mines exposed to air pollution elevated in PACs.

Discovery of novel treponemes associated with pododermatitis in elk (Cervus canadensis).

Pododermatitis, also known as treponeme-associated hoof disease (TAHD), presents a significant challenge to elk (Cervus canadensis) populations in the northwestern USA, with Treponema spp. consistently implicated in the lesion development. However, identifying species-specific Treponema strains from these lesions is hindered by its culture recalcitrance and limited genomic information. This study utilized shotgun sequencing, in silico genome reconstruction, and comparative genomics as a culture-independent approach to identify metagenome-assembled Treponema genomes (MATGs) from skin scraping samples collected from captive elk experimentally challenged with TAHD. The genomic analysis revealed 10 new MATGs, with 6 representing novel genomospecies associated with pododermatitis in elk and 4 corresponding to previously identified species-Treponema pedis and Treponema phagedenis. Importantly, genomic signatures of novel genomospecies identified in this study were consistently detected in biopsy samples of free-ranging elk diagnosed with TAHD, indicating a potential etiologic association. Comparative metabolic profiling of the MATGs against other Treponema genomes showed a distinct metabolic profile, suggesting potential host adaptation or geographic uniqueness of these newly identified genomospecies. The discovery of novel Treponema genomospecies enhances our understanding of the pathogenesis of pododermatitis and lays the foundation for the development of improved molecular surveillance tools to monitor and manage the disease in free-ranging elk.IMPORTANCETreponema spp. play an important role in the development of pododermatitis in free-ranging elk; however, the species-specific detection of Treponema from pododermatitis lesions is challenging due to culture recalcitrance and limited genomic information. The study utilized shotgun sequencing and in silico genome reconstruction to identify novel Treponema genomospecies from elk with pododermatitis. The discovery of the novel Treponema species opens new avenues to develop molecular diagnostic and epidemiologic tools for the surveillance of pododermatitis in elk. These findings significantly enhance our understanding of the genomic landscape of the Treponemataceae consortium while offering valuable insights into the etiology and pathogenesis of emerging pododermatitis in elk populations.

The Solutions in Health Analytics for Rural Equity Across the Northwest (SHARE-NW) Dashboard for Health Equity in Rural Public Health: Usability Evaluation.

Given the dearth of resources to support rural public health practice, the solutions in health analytics for rural equity across the northwest dashboard (SHAREdash) was created to support rural county public health departments in northwestern United States with accessible and relevant data to identify and address health disparities in their jurisdictions. To ensure the development of useful dashboards, assessment of usability should occur at multiple stages throughout the system development life cycle. SHAREdash was refined via user-centered design methods, and upon completion, it is critical to evaluate the usability of SHAREdash. This study aims to evaluate the usability of SHAREdash based on the system development lifecycle stage 3 evaluation goals of efficiency, satisfaction, and validity. Public health professionals from rural health departments from Washington, Idaho, Oregon, and Alaska were enrolled in the usability study from January to April 2022. The web-based evaluation consisted of 2 think-aloud tasks and a semistructured qualitative interview. Think-aloud tasks assessed efficiency and effectiveness, and the interview investigated satisfaction and overall usability. Verbatim transcripts from the tasks and interviews were analyzed using directed content analysis. Of the 9 participants, all were female and most worked at a local health department (7/9, 78%). A mean of 10.1 (SD 1.4) clicks for task 1 (could be completed in 7 clicks) and 11.4 (SD 2.0) clicks for task 2 (could be completed in 9 clicks) were recorded. For both tasks, most participants required no prompting-89% (n=8) participants for task 1 and 67% (n=6) participants for task 2, respectively. For effectiveness, all participants were able to complete each task accurately and comprehensively. Overall, the participants were highly satisfied with the dashboard with everyone remarking on the utility of using it to support their work, particularly to compare their jurisdiction to others. Finally, half of the participants stated that the ability to share the graphs from the dashboard would be "extremely useful" for their work. The only aspect of the dashboard cited as problematic is the amount of missing data that was present, which was a constraint of the data available about rural jurisdictions. Think-aloud tasks showed that the SHAREdash allows users to complete tasks efficiently. Overall, participants reported being very satisfied with the dashboard and provided multiple ways they planned to use it to support their work. The main usability issue identified was the lack of available data indicating the importance of addressing the ongoing issues of missing and fragmented public health data, particularly for rural communities.

Enhancing mobile aerosol monitoring with CE376 dual-wavelength depolarization lidar

Abstract. We present the capabilities of a compact dual-wavelength depolarization lidar to assess the spatiotemporal variations in aerosol properties aboard moving vectors. Our approach involves coupling the lightweight Cimel CE376 lidar, which provides measurements at 532 and 808 nm and depolarization at 532 nm, with a photometer to monitor aerosol properties. The assessments, both algorithmic and instrumental, were conducted at ATOLL (ATmospheric Observatory of LiLle) platform operated by the Laboratoire d'Optique Atmosphérique (LOA), in Lille, France. An early version of the CE376 lidar co-located with the CE318-T photometer and with a multi-wavelength Raman lidar were considered for comparisons and validation. We developed a modified Klett inversion method for simultaneous two-wavelength elastic lidar and photometer measurements. Using this setup, we characterized aerosols during two distinct events of Saharan dust and dust smoke aerosols transported over Lille in spring 2021 and summer 2022. For validation purposes, comparisons against the Raman lidar were performed, demonstrating good agreement in aerosol properties with relative differences of up to 12 % in the depolarization measurements. Moreover, a first dataset of CE376 lidar and photometer performing on-road measurements was obtained during the FIREX-AQ (Fire Influence on Regional to Global Environments and Air Quality) field campaign deployed in summer 2019 over the northwestern USA. By lidar and photometer mapping in 3D, we investigated the transport of released smoke from active fire spots at William Flats (northeast WA, USA). Despite extreme environmental conditions, our study enabled the investigation of aerosol optical properties near the fire source, distinguishing the influence of diffuse, convective, and residual smoke. Backscatter, extinction profiles, and column-integrated lidar ratios at 532 and 808 nm were derived for a quality-assured dataset. Additionally, the extinction Ångström exponent (EAE), color ratio (CR), attenuated color ratio (ACR), and particle linear depolarization ratio (PLDR) were derived. In this study, we discuss the capabilities (and limitations) of the CE376 lidar in bridging observational gaps in aerosol monitoring, providing valuable insights for future research in this field.

How will future climate change impact prescribed fire across the contiguous United States?

As of 2023, the use of prescribed fire to manage ecosystems accounts for more than 50% of area burned annually across the United States. Prescribed fire is carried out when meteorological conditions, including temperature, humidity, and wind speed are appropriate for its safe and effective application. However, changes in these meteorological variables associated with future climate change may impact future opportunities to conduct prescribed fire. In this study, we combine climate projections with information on prescribed burning windows for ecoregions across the contiguous United States (CONUS) to compute the number of days when meteorological conditions allow for the safe and effective application of prescribed fire under present-day (2006–2015) and future climate (2051–2060) conditions. The resulting projections, which cover 57% of all vegetated area across the CONUS, indicate fewer days with conditions suitable for prescribed burning across ecoregions of the eastern United States due to rising maximum daily temperatures, but opportunities increase in the northern and northwestern United States, driven primarily by rising minimum temperatures and declining wind speeds.