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Journal articleGuo X, Wang L, Li W, et al., 2024, , ASTROPHYSICAL JOURNAL LETTERS, Vol: 966, ISSN: 2041-8205
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Journal articlePerkins O, Kasoar M, Voulgarakis A, et al., 2024, , Geoscientific Model Development, Vol: 17, Pages: 3993-4016, ISSN: 1991-959X
Fire is an integral ecosystem process and a major natural source of vegetation disturbance globally. Yet at the same time, humans use and manage fire in diverse ways and for a huge range of purposes. Therefore, it is perhaps unsurprising that a central finding of the first Fire Model Intercomparison Project was simplistic representation of humans is a substantial shortcoming in the fire modules of dynamic global vegetation models (DGVMs). In response to this challenge, we present a novel, global geospatial model that seeks to capture the diversity of human–fire interactions. Empirically grounded with a global database of anthropogenic fire impacts, WHAM! (the Wildfire Human Agency Model) represents the underlying behavioural and land system drivers of human approaches to fire management and their impact on fire regimes. WHAM! is designed to be coupled with DGVMs (JULES-INFERNO in the current instance), such that human and biophysical drivers of fire on Earth, and their interactions, can be captured in process-based models for the first time. Initial outputs from WHAM! presented here are in line with previous evidence suggesting managed anthropogenic fire use is decreasing globally and point to land use intensification as the underlying reason for this phenomenon.
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Journal articleLewis ZM, Beth A, Galand M, et al., 2024, , Monthly Notices of the Royal Astronomical Society, Vol: 530, Pages: 66-81, ISSN: 0035-8711
The European Space Agency Rosetta mission escorted comet 67P for a 2-yr section of its six and a half-year orbit around theSun. By perihelion in 2015 August, the neutral and plasma data obtained by the spacecraft instruments showed the comet hadtransitioned to a dynamic object with large-scale plasma structures and a rich ion environment. One such plasma structure isthe diamagnetic cavity: a magnetic field-free region formed by interaction between the unmagnetized cometary plasma andthe impinging solar wind. Within this region, unexpectedly high ion bulk velocities have been observed, thought to have beenaccelerated by an ambipolar electric field. We have developed a 1D numerical model of the cometary ionosphere to constrainthe impact of various electric field profiles on the ionospheric density profile and ion composition. In the model, we includethree ion species: H2O+, H3O+, and NH+4 . The latter, not previously considered in ionospheric models including acceleration, isproduced through the protonation of NH3 and only lost through ion–electron dissociative recombination, and thus particularlysensitive to the time-scale of plasma loss through transport. We also assess the importance of including momentum transferwhen assessing ion composition and densities in the presence of an electric field. By comparing simulated electron densities toRosetta Plasma Consortium data sets, we find that to recreate the plasma densities measured inside the diamagnetic cavity nearperihelion, the model requires an electric field proportional to r−1 of around 0.5–2 mV m−1 surface strength, leading to bulk ionspeeds at Rosetta of 1.2–3.0 km s−1.
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Journal articleZhou Y, He F, Archer MO, et al., 2024, , Geophysical 91桃色 Letters, Vol: 51, ISSN: 0094-8276
Boundary dynamics are crucial for the transport of energy, mass, and momentum in geospace. The recently discovered plasmapause surface wave (PSW) plays a key role in the inner magnetosphere dynamics. However, a comprehensive investigation of spatial variations of the PSW remains absent. In this study, we elucidate the spatial characteristics of a PSW through observations from multiple spacecrafts in the magnetosphere. Following the initiation of the PSW, quasi-periodic injections of energetic ions, rather than electrons, are suggested to serve as energy source of the PSW. Based on the distinct wave and particle signatures, we categorize the PSW into four regions: seed region, growth region, stabilization region and decay region, spanning from nightside to afternoon plasmapause. These findings advance our understanding of universal boundary dynamics and contribute to a deeper comprehension of the pivotal roles of surface waves in the energy couplings within the magnetosphere-plasmasphere-ionosphere system.
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ReportZachariah M, Kimutai J, Barnes C, et al., 2024,
Heavy precipitation hitting vulnerable communities in the UAE and Oman becoming an increasing threat as the climate warms
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Journal articleSparks N, Toumi R, 2024, , Scientific Data, Vol: 11, ISSN: 2052-4463
Assessing tropical cyclone risk on a global scale given the infrequency of landfalling tropical cyclones (TC) and the short period of reliable observations remains a challenge. Synthetic tropical cyclone datasets can help overcome these problems. Here we present a new global dataset created by IRIS, the ImpeRIal college Storm model. IRIS is novel because, unlike other synthetic TC models, it only simulates the decay from the point of lifetime maximum intensity. This minimises the bias in the dataset. It takes input from 42 years of observed tropical cyclones and creates a 10,000 year synthetic dataset of wind speed which is then validated against the observations. IRIS captures important statistical characteristics of the observed data. The return periods of the landfall maximum wind speed are realistic globally.
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Journal articleBlackford K, Kasoar M, Burton C, et al., 2024, , Geoscientific Model Development, Vol: 17, Pages: 3063-3079, ISSN: 1991-959X
Peat fires in the northern high latitudes have the potential to burn vast amounts of carbon-rich organic soil, releasing large quantities of long-term stored carbon to the atmosphere. Due to anthropogenic activities and climate change, peat fires are increasing in frequency and intensity across the high latitudes. However, at present they are not explicitly included in most fire models. Here we detail the development of INFERNO-peat, the first parameterization of peat fires in the JULES-INFERNO (Joint UK Land Environment Simulator INteractive Fire and Emission algoRithm for Natural envirOnments) fire model. INFERNO-peat utilizes knowledge from lab and field-based studies on peat fire ignition and spread to be able to model peat burnt area, burn depth, and carbon emissions, based on data of the moisture content, inorganic content, bulk density, soil temperature, and water table depth of peat. INFERNO-peat improves the representation of burnt area in the high latitudes, with peat fires simulating on average an additional 0.305×106 km2 of burn area each year, emitting 224.10 Tg of carbon. Compared to Global Fire Emissions Database version 5 (GFED5), INFERNO-peat captures ∼ 20 % more burnt area, whereas INFERNO underestimated burning by 50 %. Additionally, INFERNO-peat substantially improves the representation of interannual variability in burnt area and subsequent carbon emissions across the high latitudes. The coefficient of variation in carbon emissions is increased from 0.071 in INFERNO to 0.127 in INFERNO-peat, an almost 80 % increase. Therefore, explicitly modelling peat fires shows a substantial improvement in the fire modelling capabilities of JULES-INFERNO, highlighting the importance of representing peatland systems in fire models.
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Journal articleChandra N, Patra PK, Fujita R, et al., 2024, , Communications Earth & Environment, Vol: 5
<jats:title>Abstract</jats:title><jats:p>Methane (CH<jats:sub>4</jats:sub>) emission reduction to limit warming to 1.5 °C can be tracked by analyzing CH<jats:sub>4</jats:sub> concentration and its isotopic composition (<jats:italic>δ</jats:italic><jats:sup>13</jats:sup>C, <jats:italic>δ</jats:italic>D) simultaneously. Based on reconstructions of the temporal trends, latitudinal, and vertical gradient of CH<jats:sub>4</jats:sub> and δ<jats:sup>13</jats:sup>C from 1985 to 2020 using an atmospheric chemistry transport model, we show (1) emission reductions from oil and gas exploitation (ONG) since the 1990s stabilized the atmospheric CH<jats:sub>4</jats:sub> growth rate in the late 1990s and early 2000s, and (2) emissions from farmed animals, waste management, and coal mining contributed to the increase in CH<jats:sub>4</jats:sub> since 2006. Our findings support neither the increasing ONG emissions reported by the EDGARv6 inventory during 1990–2020 nor the large unconventional emissions increase reported by the GAINSv4 inventory since 2006. Total fossil fuel emissions remained stable from 2000 to 2020, most likely because the decrease in ONG emissions in some regions offset the increase in coal mining emissions in China.</jats:p>
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Journal articleDing M, Ryabtsev AN, Kononov EY, et al., 2024, , ASTRONOMY & ASTROPHYSICS, Vol: 684, ISSN: 0004-6361
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Journal articleColomban L, Kretzschmar M, Krasnoselkikh V, et al., 2024, , ASTRONOMY & ASTROPHYSICS, Vol: 684, ISSN: 0004-6361
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Journal articleHellinger P, Verdini A, Montagud-Camps V, et al., 2024, , ASTRONOMY & ASTROPHYSICS, Vol: 684, ISSN: 0004-6361
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Journal articleChawner H, Saboya E, Adcock KE, et al., 2024, , Atmospheric Chemistry and Physics, Vol: 24, Pages: 4231-4252, ISSN: 1680-7316
We investigate the use of atmospheric oxygen (O2) and carbon dioxide (CO2) measurements for the estimation of the fossil fuel component of atmospheric CO2 in the UK. Atmospheric potential oxygen (APO) – a tracer that combines O2 and CO2, minimizing the influence of terrestrial biosphere fluxes – is simulated at three sites in the UK, two of which make APO measurements. We present a set of model experiments that estimate the sensitivity of APO simulations to key inputs: fluxes from the ocean, fossil fuel flux magnitude and distribution, the APO baseline, and the exchange ratio of O2 to CO2 fluxes from fossil fuel combustion and the terrestrial biosphere. To estimate the influence of uncertainties in ocean fluxes, we compare three ocean O2 flux estimates from the NEMO–ERSEM, the ECCO–Darwin ocean model, and the Jena CarboScope (JC) APO inversion. The sensitivity of APO to fossil fuel emission magnitudes and to terrestrial biosphere and fossil fuel exchange ratios is investigated through Monte Carlo sampling within literature uncertainty ranges and by comparing different inventory estimates. We focus our model–data analysis on the year 2015 as ocean fluxes are not available for later years. As APO measurements are only available for one UK site at this time, our analysis focuses on the Weybourne station. Model–data comparisons for two additional UK sites (Heathfield and Ridge Hill) in 2021, using ocean flux climatologies, are presented in the Supplement. Of the factors that could potentially compromise simulated APO-derived fossil fuel CO2 (ffCO2) estimates, we find that the ocean O2 flux estimate has the largest overall influence at the three sites in the UK. At times, this influence is comparable in magnitude to the contribution of simulated fossil fuel CO2 to simulated APO. We find that simulations using different ocean fluxes differ from each other substantially. No single model estimate, or a model estimate that assumed zero oce
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Journal articleEriksson S, Swisdak M, Mallet A, et al., 2024, , ASTROPHYSICAL JOURNAL, Vol: 965, ISSN: 0004-637X
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Journal articleMitchell DG, Hill ME, Mccomas DJ, et al., 2024, , ASTROPHYSICAL JOURNAL, Vol: 965, ISSN: 0004-637X
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Journal articleHuang J, Kasper JC, Larson DE, et al., 2024, , ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES, Vol: 271, ISSN: 0067-0049
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Journal articleBowen TA, Bale SD, Chandran BDG, et al., 2024, , NATURE ASTRONOMY, Vol: 8, Pages: 482-490, ISSN: 2397-3366
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Journal articleFiedler S, Naik V, O'Connor FM, et al., 2024, , GEOSCIENTIFIC MODEL DEVELOPMENT, Vol: 17, Pages: 2387-2417, ISSN: 1991-959X
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Journal articleStephenson P, Galand M, Deca J, et al., 2024, , MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, Vol: 529, Pages: 2854-2865, ISSN: 0035-8711
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Journal articleRojo M, Persson M, Sauvaud J-A, et al., 2024, , ASTRONOMY & ASTROPHYSICS, Vol: 683, ISSN: 0004-6361
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Journal articleMatteini L, Tenerani A, Landi S, et al., 2024, , Physics of Plasmas, Vol: 31, ISSN: 1070-664X
We investigate properties of large-scale solar wind Alfvénic fluctuations and their evolution during radial expansion. We assume a strictly radial background magnetic field B k R, and we use two-dimensional hybrid (fluid electrons, kinetic ions) simulations of balanced Alfvénic turbulence in the plane orthogonal to B; the simulated plasma evolves in a system comoving with the solar wind (i.e., in the expanding box approximation). Despite some model limitations, simulations exhibit important properties observed in the solar wind plasma: Magnetic field fluctuations evolve toward a state with low-amplitude variations in the amplitude B ¼ jBj and tend to a spherical polarization. This is achieved in the plasma by spontaneously generating field aligned, radial fluctuations that suppress local variations of B, maintaining B const. spatially in the plasma. We show that within the constraint of spherical polarization, variations in the radial component of the magnetic field, BR lead to a simple relation between dBR and dB ¼ jdBj as dBR dB2=ð2BÞ, which correctly describes the observed evolution of the rms of radial fluctuations in the solar wind. During expansion, the background magnetic field amplitude decreases faster than that of fluctuations so that their the relative amplitude increases. In the regime of strong fluctuations, dB B, this causes local magnetic field reversals, consistent with solar wind switchbacks.
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Journal articleLiu YD, Zhu B, Ran H, et al., 2024, , ASTROPHYSICAL JOURNAL, Vol: 963, ISSN: 0004-637X
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Journal articleKuhlbrodt T, Swaminathan R, Ceppi P, et al., 2024, , Bulletin of the American Meteorological Society, Vol: 105, Pages: E474-E485, ISSN: 0003-0007
In the year 2023, we have seen extraordinary extrema in high sea surface temperature (SST) in the North Atlantic and in low sea ice extent in the Southern Ocean, outside the 4σ envelope of the 1982–2011 daily time series. Earth’s net global energy imbalance (12 months up to September 2023) amounts to +1.9 W m−2 as part of a remarkably large upward trend, ensuring further heating of the ocean. However, the regional radiation budget over the North Atlantic does not show signs of a suggested significant step increase from less negative aerosol forcing since 2020. While the temperature in the top 100 m of the global ocean has been rising in all basins since about 1980, specifically the Atlantic basin has continued to further heat up since 2016, potentially contributing to the extreme SST. Similarly, salinity in the top 100 m of the ocean has increased in recent years specifically in the Atlantic basin, and in addition in about 2015 a substantial negative trend for sea ice extent in the Southern Ocean began. Analyzing climate and Earth system model simulations of the future, we find that the extreme SST in the North Atlantic and the extreme in Southern Ocean sea ice extent in 2023 lie at the fringe of the expected mean climate change for a global surface-air temperature warming level (GWL) of 1.5°C, and closer to the average at a 3.0°C GWL. Understanding the regional and global drivers of these extremes is indispensable for assessing frequency and impacts of similar events in the coming years.
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Journal articleJohnson M, Rivera YJ, Niembro T, et al., 2024, , ASTROPHYSICAL JOURNAL, Vol: 964, ISSN: 0004-637X
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Journal articleKellogg PJ, Mozer FS, Moncuquet M, et al., 2024, , ASTROPHYSICAL JOURNAL, Vol: 964, ISSN: 0004-637X
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Journal articleCoburn JT, Verscharen D, Owen CJ, et al., 2024, , ASTROPHYSICAL JOURNAL, Vol: 964, ISSN: 0004-637X
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Journal articleGrimmich N, Prencipe F, Turner DL, et al., 2024, , JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS, Vol: 129, ISSN: 2169-9380
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Journal articleFeingold G, Ghate VP, Russell LM, et al., 2024, , Science Advances, Vol: 10, ISSN: 2375-2548
Marine cloud brightening (MCB) is the deliberate injection of aerosol particles into shallow marine clouds to increase their reflection of solar radiation and reduce the amount of energy absorbed by the climate system. From the physical science perspective, the consensus of a broad international group of scientists is that the viability of MCB will ultimately depend on whether observations and models can robustly assess the scale-up of local-to-global brightening in today’s climate and identify strategies that will ensure an equitable geographical distribution of the benefits and risks associated with projected regional changes in temperature and precipitation. To address the physical science knowledge gaps required to assess the societal implications of MCB, we propose a substantial and targeted program of research—field and laboratory experiments, monitoring, and numerical modeling across a range of scales.
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Journal articleMostafavi P, Allen RC, Jagarlamudi VK, et al., 2024, , ASTRONOMY & ASTROPHYSICS, Vol: 682, ISSN: 0004-6361
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Journal articleQi Y, Ergun R, Pathak N, et al., 2024, , ASTROPHYSICAL JOURNAL LETTERS, Vol: 962, ISSN: 2041-8205
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Journal articleTrotta D, Larosa A, Nicolaou G, et al., 2024, , The Astrophysical Journal, Vol: 962, Pages: 147-147, ISSN: 0004-637X
<jats:title>Abstract</jats:title> <jats:p>The Parker Solar Probe (PSP) and Solar Orbiter (SolO) missions opened a new observational window in the inner heliosphere, which is finally accessible to direct measurements. On 2022 September 5, a coronal mass ejection (CME)-driven interplanetary (IP) shock was observed as close as 0.07 au by PSP. The CME then reached SolO, which was radially well-aligned at 0.7 au, thus providing us with the opportunity to study the shock properties at different heliocentric distances. We characterize the shock, investigate its typical parameters, and compare its small-scale features at both locations. Using the PSP observations, we investigate how magnetic switchbacks and ion cyclotron waves are processed upon shock crossing. We find that switchbacks preserve their V–B correlation while compressed upon the shock passage, and that the signature of ion cyclotron waves disappears downstream of the shock. By contrast, the SolO observations reveal a very structured shock transition, with a population of shock-accelerated protons of up to about 2 MeV, showing irregularities in the shock downstream, which we correlate with solar wind structures propagating across the shock. At SolO, we also report the presence of low-energy (∼100 eV) electrons scattering due to upstream shocklets. This study elucidates how the local features of IP shocks and their environments can be very different as they propagate through the heliosphere.</jats:p>
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