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class='inst-article-grid-view-container'> <div class="blog-card"> <div class="blog-card__container"> <div class='blog-card__top-row'> </div> <div class='blog-card__heading-container '> <a href="/doi/full/10.22541/essoar.171136923.36959910/v1"> <div class="blog-card__title"> MJO impacts on South America and their modulation by ENSO in MetUM-GOML3 model </div> </a> </div> <div class="blog-card__author-container"> <div class="blog-card__author-information"> <div class="blog-card__images-container"> <div class="blog-card__first-avatar"> <img alt="Laís Gonçalves Fernandes" width="24" height="24" class="user-profile-pic" src="data:image/jpg;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAMAAABEpIrGAAAABGdBTUEAALGP C/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3Cc ulE8AAAA8FBMVEXU40rU40nT4knU403V407V40/T4kjP4DfQ4DrT40nO3zTO 3zLO3zHP4DnT4kbh64He6XbS4ULT4kfk7ZDj7Yzj7Y3j7Yvl7pTg637R4UDU 40vS4kT////7/fL6/O3P3zXU40zS4UP5++bO3zP5++jV5FHa52TZ5mLa52bY 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VGh1bWI6OkltYWdlOjpIZWlnaHQANjAwet69tQAAABd0RVh0VGh1bWI6Oklt YWdlOjpXaWR0aAA2MDDpL+3oAAAAGXRFWHRUaHVtYjo6TWltZXR5cGUAaW1h Z2UvcG5nP7JWTgAAABd0RVh0VGh1bWI6Ok1UaW1lADE3MzIyMDYxOTSzqpZa AAAAE3RFWHRUaHVtYjo6U2l6ZQAyMjMyNUJCgluvzQAAADt0RVh0VGh1bWI6 OlVSSQBmaWxlOi8vdG1wL2xldHRlcl9hdmF0YXJzLzIvQUcvMjI2Xzk1Xzgx LzYwMC5wbmdnfLSZAAAAAElFTkSuQmCC " /> </div> </div> <div> <div class="blog-card__authors-text"> <div class="blog-card-author-list" style="width: 100%;"> <a href="/users/660278"><p class="blog-card__owner">Laís Gonçalves Fernandes</p></a> <p class='blog-card__remaining-text'>and 2 more</p> </div> </div> <time datetime="2024-03-25" class="blog-card__date">March 25, 2024</time> </div> </div> </div> <div class='blog-card__preview-content-container'> <a href="/doi/full/10.22541/essoar.171136923.36959910/v1"> <div class='blog-card__preview-content'> The impacts of the Madden-Julian Oscillation (MJO) on the South American monsoon season (December-February) and possible changes during El Niño (EN) and La Niña (LN) events are analyzed in the UK Met Office Unified Model Global Ocean Mixed Layer configuration (MetUM-GOML3). Experiments sixty years long, with and without El Niño-Southern Oscillation (ENSO), considering different spatial resolutions, are performed to assess if ENSO influences several MJO characteristics, including the teleconnections to South America (SA). Simulations without ENSO show: (i) an extratropical teleconnection triggered by enhanced convection in the central-east subtropical South Pacific (CSSP) and its strongest impact on central-east South American precipitation in phase 8, earlier than in observations (phase 1). (ii) An extratropical teleconnection, triggered by suppressed convection over the same region, with strongest impact on South American precipitation in phase 4, with opposite sign. (iii) Increased resolution enhances the MJO convection and the South American circulation-precipitation dipole. ENSO affects the basic state and the MJO convection, which modulate teleconnections to SA in simulations with ENSO cycles. EN (LN) strengthens (deteriorates) MJO propagation and its convection. However, both EN and LN produce enhanced convection over the CSSP in phase 8. The extratropical teleconnections and their impacts are stronger under ENSO with respect to those in simulations without ENSO. Hence, both simulated ENSO states generate forcing that more efficiently triggers teleconnections than simulations without ENSO, indicating nonlinear ENSO effects on MJO anomalies over SA. </div> </a> </div> </div> </div> <div class="blog-card"> <a href="/users/561287/articles/730311-attributing-urban-evapotranspiration-from-eddy-covariance-to-surface-cover-bottom-up-versus-top-down?commit=79a3c34cb04bdabf7d27cf4e7b6e64f46bf1e6fb"> <div class="blog-card__image-container"> <img onerror="$(this).closest('a').remove()" height="200" class="blog-card__image-tag" loading="lazy" src="https://d197for5662m48.cloudfront.net/images/tagdashboard/banner/large-fd6c6a73ab20f425456fdaeb7397c537.jpg" /> </div> </a> <div class="blog-card__container"> <div class='blog-card__top-row'> </div> <div class='blog-card__heading-container '> <a href="/users/561287/articles/730311-attributing-urban-evapotranspiration-from-eddy-covariance-to-surface-cover-bottom-up-versus-top-down?commit=79a3c34cb04bdabf7d27cf4e7b6e64f46bf1e6fb"> <div class="blog-card__title"> Attributing urban evapotranspiration from eddy-covariance to surface cover: bottom-up... </div> </a> </div> <div class="blog-card__author-container"> <div class="blog-card__author-information"> <div class="blog-card__images-container"> <div class="blog-card__first-avatar"> <img alt="Harro Joseph Jongen" width="24" height="24" class="user-profile-pic" src="data:image/jpg;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAMAAABEpIrGAAAABGdBTUEAALGP C/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3Cc ulE8AAABAlBMVEVF0OJE0OJEz+FG0OJJ0eJI0OI9zuAuyt41zN8xy95Cz+E/ zuEzy99W1OSL4exx2+iA3utO0uMtyd6O4u3///9K0eLv+/xL0eI8zeCP4u0t yt6I4OyI4exH0OLk+PqJ4eyG4OwoyN0pyd3l+Po9zeAsyd6C3+six9w+zuA6 zeAkx9zh9/qM4u3U9Pi27PPB7/XA7/W17PP5/f533OkNwdkPwtnf9vowyt4r 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Click on the document to view its contents. </div> </a> </div> </div> </div> <div class="blog-card"> <div class="blog-card__container"> <div class='blog-card__top-row'> </div> <div class='blog-card__heading-container '> <a href="/doi/full/10.22541/essoar.171136915.57492533/v1"> <div class="blog-card__title"> Topography dominates the hemispheric asymmetry of Stratospheric Sudden Warmings </div> </a> </div> <div class="blog-card__author-container"> <div class="blog-card__author-information"> <div class="blog-card__images-container"> <div class="blog-card__first-avatar"> <img alt="Siming Liu" width="24" height="24" class="user-profile-pic" src="data:image/jpg;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAMAAABEpIrGAAAABGdBTUEAALGP C/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3Cc ulE8AAABOFBMVEWiiH6ih32hh32jioCki4GiiX+kioGjiX+afnOVd2yZfHGe g3iWeW6hh36ih36fhHqwmpLIubPJurS1oZmXem+eg3mqk4rFta6iiH+ghnzm 39z////t6eeTdWnHuLLGt7GWeG3Mvrjc0s6ghXudgXfPwbzo4d+JaFzFta/D s6yUdmvd1NCObmKafXL18vHw7OqQcWXDs63Es62iiH3Mvrnp5OGWeW2hhnyY fHHn4N7w7OvEtK6cgHWdgni2oZnj29j7+vqpkIeQcWaVeG2ZfHKbf3TNwLrs 5+XFtK6mjYOjiYCghnv29POVeGyMbF+RcmbCsqu/rqfMvbibgHWZfXK8qqLy 7u2Kal3LvLeljIKumI+xnJOdgnft6Oa0n5eOb2LJu7XBsKqvmZDKu7WnjoWf hHmfhXsAAAAbZdXYAAAAAWJLR0RnW9PpswAAAAd0SU1FB+gLFRAXE7vPw8sA AAE8SURBVDgR3cHpOgJhGAbg53vmm5oxUVLCaxkmZGdskT1rdrInu/M/BPKD GVwOwH3j31EKf2EAfkEYWhsgzYhJ/ERELduugwkn5oD1CGsg4naiMdmUSseb M81OCxFGtFpt8q7d6eiULldTIUgx4nZLj5ftlb7+nAy4mgpBinpwSLzh9Mjo 2PiE+K6mQtAkI+6UTBuuPZO1ffFdTYUQYjY/JzJfWFhMTYjvaiqEkPBiS8si K6trGfGLmiQCSLau5/ODG5uy1Z+T7dROyQDxhdj19rb2vZEDkcMjOR7OWpYH 4hNZKs7JyWn5TM4vCnJ5lbi+ie6C+EQzXbmVmurdvXyoWgbxhdFKrJpMPlTK zuNJIZfZfnp+ARHAKMq2HXstIWsX3+3HQYUgwtA6AtLUH0CEKX6Dn5RCjaqZ xL/yBu2oJd+Sz/1PAAAAJXRFWHRkYXRlOmNyZWF0ZQAyMDI0LTExLTIxVDE2 OjIzOjE4KzAwOjAw6Rg9KgAAACV0RVh0ZGF0ZTptb2RpZnkAMjAyNC0xMS0y MVQxNjoyMzoxOCswMDowMJhFhZYAAAAgdEVYdHNvZnR3YXJlAGh0dHBzOi8v aW1hZ2VtYWdpY2sub3JnvM8dnQAAABh0RVh0VGh1bWI6OkRvY3VtZW50OjpQ YWdlcwAxp/+7LwAAABh0RVh0VGh1bWI6OkltYWdlOjpIZWlnaHQANjAwet69 tQAAABd0RVh0VGh1bWI6OkltYWdlOjpXaWR0aAA2MDDpL+3oAAAAGXRFWHRU aHVtYjo6TWltZXR5cGUAaW1hZ2UvcG5nP7JWTgAAABd0RVh0VGh1bWI6Ok1U aW1lADE3MzIyMDYxOTi6HNpxAAAAE3RFWHRUaHVtYjo6U2l6ZQAxNzQ2M0JC 2rETFgAAAD10RVh0VGh1bWI6OlVSSQBmaWxlOi8vdG1wL2xldHRlcl9hdmF0 YXJzLzIvU0wvMTYyXzEzNl8xMjYvNjAwLnBuZxLt5ywAAAAASUVORK5CYII= " /> </div> <div class="blog-card__second-avatar"> <img alt="Tiffany A Shaw" width="24" height="24" class="user-profile-pic" src="data:image/jpg;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAAAAABWESUoAAAABGdBTUEAALGP C/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3Cc ulE8AAAAAmJLR0QAAKqNIzIAAAAHdElNRQfoCxUQGAsvO0dSAAABfUlEQVQ4 EYXBTWsTURSA4fecuZnJlzELBe1OLFW3uqwW3YgiuvIv6B/LXxAENy7qytKV uPCDUJWGJqIVm4TEzNzjnRktxIX3eWTA/ykRSoQSoUQoEUqEo2L8S6g5aipU zCMK3kyoOAJD5rkQWKMp+cxLlnoTSg4wYbXZzgUs/T7K3ZXu8tPPrpkQOCqr 7ZTK0dtr94HtV2963gRwBCbZs/Rk68b++978zD1efO4/vHk8aXoCBQRLfkzG U6bjyfFZ+bqXHu3SL4SSIxAsS1YNGq2Wm/rzt94lH4eNdkFJqXlvhpnX4jk7 T+5ueAdCoFSEP3z7cLC/uPzo9gwxAsc6WbLYe33uwdUvB20jUNbofOvpZt4f 7tIphJKyxpJv7FyYXbzOQqk4TiUkWHP08s5jYPih4ynJgIpJ3t0YTZ3pSedS ZuPDtpoQyICKIfkycyaW/FoYjZaZUHLUBHOpN0EK1wMzEyqOU1ZQsYJAqDn+ EmrCGiVCiVAilAglQon4DcnyjCxdJPuWAAAAJXRFWHRkYXRlOmNyZWF0ZQAy MDI0LTExLTIxVDE2OjIzOjU3KzAwOjAwmxpDOQAAACV0RVh0ZGF0ZTptb2Rp ZnkAMjAyNC0xMS0yMVQxNjoyMzo1NyswMDowMOpH+4UAAAAgdEVYdHNvZnR3 YXJlAGh0dHBzOi8vaW1hZ2VtYWdpY2sub3JnvM8dnQAAABh0RVh0VGh1bWI6 OkRvY3VtZW50OjpQYWdlcwAxp/+7LwAAABh0RVh0VGh1bWI6OkltYWdlOjpI ZWlnaHQANjAwet69tQAAABd0RVh0VGh1bWI6OkltYWdlOjpXaWR0aAA2MDDp L+3oAAAAGXRFWHRUaHVtYjo6TWltZXR5cGUAaW1hZ2UvcG5nP7JWTgAAABd0 RVh0VGh1bWI6Ok1UaW1lADE3MzIyMDYyMzfSCpEzAAAAEnRFWHRUaHVtYjo6 U2l6ZQA4MDcxQkJqMMoLAAAAPXRFWHRUaHVtYjo6VVJJAGZpbGU6Ly90bXAv bGV0dGVyX2F2YXRhcnMvMi9UUy8xNjNfMTYzXzE2My82MDAucG5nLZO3pgAA AABJRU5ErkJggg== " /> </div> </div> <div> <div class="blog-card__authors-text"> <div class="blog-card-author-list" style="width: 100%;"> <a href="/users/757286"><p class="blog-card__owner">Siming Liu</p></a> <p class='blog-card__remaining-text'>and 2 more</p> </div> </div> <time datetime="2024-03-25" class="blog-card__date">March 25, 2024</time> </div> </div> </div> <div class='blog-card__preview-content-container'> <a href="/doi/full/10.22541/essoar.171136915.57492533/v1"> <div class='blog-card__preview-content'> Stratospheric Sudden Warmings (SSWs) predominantly occur in the Northern Hemisphere with only 1 major event recorded in the Southern Hemisphere in the satellite era. Investigating factors that contribute to this asymmetry can help to reveal the cause of SSWs and lead to improved forecasts. Here we use climate model simulations to investigate the impact of boundary conditions (topography and ocean circulation) on the asymmetry. Flattening topography eliminates Northern Hemisphere SSWs, while removing the ocean meridional overturning circulation reduces their frequency by half. The SSW response to boundary conditions is controlled by decrease in hemispheric asymmetry of eddy heat flux. The reduction is driven by a decrease in amplitude of both eddy meridional wind and eddy temperature, as well as an increase in the difference between their phases. The results suggest boundary conditions play an important role in shaping SSWs, especially topographic forcing, but that the boundary condition interactions are nonlinear. </div> </a> </div> </div> </div> <div class="blog-card"> <div class="blog-card__container"> <div class='blog-card__top-row'> </div> <div class='blog-card__heading-container '> <a href="/doi/full/10.22541/essoar.171136911.14140943/v1"> <div class="blog-card__title"> Deciphering the Drivers Favorable for Summer Monsoon Precipitation Extremes over the... </div> </a> </div> <div class="blog-card__author-container"> <div class="blog-card__author-information"> <div class="blog-card__images-container"> <div class="blog-card__first-avatar"> <img alt="Rohtash Saini" width="24" height="24" class="user-profile-pic" src="data:image/jpg;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAMAAABEpIrGAAAABGdBTUEAALGP C/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3Cc ulE8AAABa1BMVEWPpK+OpK+Oo66RprGRpbCQpK+SprGQpbCMoa2AmKSEm6eK 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</div> <div class='blog-card__preview-content-container'> <a href="/doi/full/10.22541/essoar.171136911.14140943/v1"> <div class='blog-card__preview-content'> This study investigates the physical processes behind extreme precipitation events (EPEs) in the Himalayas, notorious for causing frequent floods and significant loss of life and property. Due to the presence of complex terrain, understanding the driving factors behind these EPEs has proven challenging. Here, we decipher the driving conditions responsible for the occurrence of EPEs in the western Himalayas (WH) for the period 1979 to 2020. Our findings provide compelling evidence for the role of large-scale circulation patterns and their associated dynamics and thermodynamics in instigating EPEs. The presence of distinct upper-tropospheric gyres flanking the WH, alongside a prominent zonal wave pattern, underscores the conducive atmospheric configuration during EPEs. This configuration promotes a southward extension of the trough, intensifying the convergence of moisture-laden winds from the adjoining seas, leading to substantial moisture availability for the EPEs. Moreover, the southward advancement of cyclonic vorticity further aids in northward moisture advection towards the region. At a regional scale, using moisture budget analysis, we find that vertical moisture advection plays a significant role, emphasizing the dominance of local dynamics driving these EPEs. Furthermore, the intensifying diabatic heating structure over the WH leads to intensified convection through stronger vertical motions, facilitating the development of deep convection. Our results also pinpoint the role of the shifting of the Intertropical Convergence Zone (ITCZ), strongly linked to the dynamics of convective clouds, resulting in changes in the intensity of EPEs over the WH. Additionally, Quasi-Resonance Amplification is linked with the most intensified/persistent EPEs over the Himalayas. </div> </a> </div> </div> </div> <div class="blog-card"> <div class="blog-card__container"> <div class='blog-card__top-row'> </div> <div class='blog-card__heading-container '> <a href="/doi/full/10.22541/essoar.171052504.47039219/v1"> <div class="blog-card__title"> Coupled high-resolution land-atmosphere modeling for hydroclimate and terrestrial hyd... </div> </a> </div> <div class="blog-card__author-container"> <div class="blog-card__author-information"> <div class="blog-card__images-container"> <div class="blog-card__first-avatar"> <img alt="Yifan Cheng" width="24" height="24" class="user-profile-pic" src="data:image/jpg;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAMAAABEpIrGAAAABGdBTUEAALGP C/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3Cc ulE8AAABKVBMVEW8qqS7qaO8qqO9rKa9q6W8q6W5p6Gzn5i3o524pZ+1oZuy npeznpi3pJ65p6DBsavVysbHuLS3pJ24pZ7Csq3Gt7K0oJnLvbnYzsrWy8fB 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hydrology greatly influence the local community, ecosystem, and economy in Alaska and Yukon River Basin. A high-resolution re-simulation of the historical climate in Alaska can provide an important benchmark for climate change studies. In this study, we utilized the Regional Arctic Systems Model (RASM) and conducted coupled land-atmosphere modeling for Alaska and Yukon River Basin at 4-km grid spacing. In RASM, the land model was replaced with the Community Terrestrial Systems Model (CTSM) given its comprehensive process representations for cold regions. The microphysics schemes in the Weather Research and Forecast (WRF) atmospheric model were manually tuned for optimal model performance. This study aims to maintain good model performance for both hydroclimate and terrestrial hydrology, especially streamflow, which was rarely a priority in coupled models. Therefore, we implemented a strategy of iterative testing and re-optimization of CTSM. A multi-decadal climate dataset (1990-2021) was generated using RASM with optimized land parameters and manually tuned WRF microphysics. When evaluated against multiple observational datasets, this dataset well captures the climate statistics and spatial distributions for five key weather variables and hydrologic fluxes, including precipitation, air temperature, snow fraction, evaporation-to-precipitation ratios, and streamflow. The simulated precipitation shows wet bias during the spring season and simulated air temperatures exhibit dampened seasonality with warm biases in winter and cold biases in summer. We used transfer entropy to investigate the discrepancy in connectivity of hydrologic fluxes between the offline CTSM and coupled models, which contributed to their discrepancy in streamflow simulations. </div> </a> </div> </div> </div> <div class="blog-card"> <div class="blog-card__container"> <div class='blog-card__top-row'> </div> <div class='blog-card__heading-container '> <a href="/doi/full/10.22541/essoar.171052480.03633001/v1"> <div class="blog-card__title"> Aeolus winds improve Arctic weather prediction </div> </a> </div> <div class="blog-card__author-container"> <div class="blog-card__author-information"> <div class="blog-card__images-container"> <div class="blog-card__first-avatar"> <img alt="Chih-Chun (Gina) Chou" width="24" height="24" class="user-profile-pic" src="data:image/jpg;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAMAAABEpIrGAAAABGdBTUEAALGP C/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3Cc ulE8AAABSlBMVEW7Zcq7ZMq6ZMm7Zsq8aMu8acu7Z8q4XseyUcOxT8KzU8S5 Ysm8Z8q2WsaxUMK0VsSyUMPTnN3Yp+DPktm2W8a6Y8nBdM/Wot/XpeDKh9W3 XMe7ZcnSm9z////FfNK0V8Xjwen16fe8Z8vHgtT58vrCdtC4YMjNj9j9+v2w TcHareLpz+7arOLq0O6xTsLs1PDBcs6uScCpPrzlxOrQltqzU8O0VcS3Xces RL758fq/bs25Yci4X8i2Wca6YsnMi9fAcs7pze6wTMG9a8y5YMi/b8316vfF e9Hkw+q1WcW4X8ezVcT+/v7HgdPoyu2wTsK9asvGftLu2vK+bMywTcKqP73h vejRmNuvS8H9/P6vTMGsRb/26/izVMTKiNby4vW0VsXetubkwuq1V8XWo9/u 2fLZquHYpuDSmdzIg9TXpuC3XMayUsMAAADRMZBdAAAAAWJLR0RtuwYArQAA AAd0SU1FB+gLFRAXEVXBoucAAAFzSURBVDgR3cHpWtNAGAbQd96ZCaQZ06op SvSzErVY0QIuRZyySQVcqriAoNYVxe3+fwtM9aFyB5yD40YphUApHMUAAA8o DFLUxhoQICNrDYgBpBkajkuJI+FOpGkZmjiE1BV98tTprOxQjUfOnB0t5RHP 4S/SDZ+XfRdqJr4oe8aSIU2FPhblS3L5Sn1cruaNazJhqtflRtORCMiiOSlT 07x5S25Pi9xpzdydlXszmggI3xaZg5m3C1iUpfvLRefBqPUgAupOW1YqmvBZ aVXWGoZoP0xA9FF32rKSaiJ59HhV1hqG8Pk8iD7C1+XJHFxVd/2IPH22Hvn1 5yYBEZAufSEvXxUbm/J6S7bfZP7tO1nMNREomt57+aA/dkU6W5/kc/ZlR75W NIg+0sXfZF+3hfKk7JlFrol/CKRTO7vffSuCb/74uTve+xURhxBFlsa/645E VIvjHjUxgIysNZoA4aw1IP7DAAAPKByhlEKglMLx8gegCSsJi2lNdAAAACV0 RVh0ZGF0ZTpjcmVhdGUAMjAyNC0xMS0yMVQxNjoyMzoxMCswMDowMNr3c00A AAAldEVYdGRhdGU6bW9kaWZ5ADIwMjQtMTEtMjFUMTY6MjM6MTArMDA6MDCr qsvxAAAAIHRFWHRzb2Z0d2FyZQBodHRwczovL2ltYWdlbWFnaWNrLm9yZ7zP HZ0AAAAYdEVYdFRodW1iOjpEb2N1bWVudDo6UGFnZXMAMaf/uy8AAAAYdEVY dFRodW1iOjpJbWFnZTo6SGVpZ2h0ADYwMHrevbUAAAAXdEVYdFRodW1iOjpJ bWFnZTo6V2lkdGgANjAw6S/t6AAAABl0RVh0VGh1bWI6Ok1pbWV0eXBlAGlt YWdlL3BuZz+yVk4AAAAXdEVYdFRodW1iOjpNVGltZQAxNzMyMjA2MTkwtMdS QwAAABN0RVh0VGh1bWI6OlNpemUAMTUxNTJCQkzu+LQAAAA9dEVYdFRodW1i OjpVUkkAZmlsZTovL3RtcC9sZXR0ZXJfYXZhdGFycy8yL0NDLzE4N18xMDFf MjAyLzYwMC5wbmfbZRj1AAAAAElFTkSuQmCC " /> </div> <div class="blog-card__second-avatar"> <img alt="Paul J. Kushner" width="24" height="24" class="user-profile-pic" src="data:image/jpg;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAMAAABEpIrGAAAABGdBTUEAALGP C/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3Cc ulE8AAABaFBMVEX/imD/il//iV//imH/jGP/jGL/iWD/hVr/f1H/gFL/f1L/ gFP/iF3/flD/iV7/fU7/fE3/h13/hlv/kWr/o4P/nXr/nnv/nHj/g1f/i2H/ h1z/q43/rI//tp3/jmb/jWT/ekv/u6P/////pYb/ekr/dUT/08T/39T/gVX/ tJr/v6j/kGj/mXT/r5L/jmX/fk//c0H/uqL/6OD/d0f/sJP/ckD/bjr/s5j/ dUP/pYX/+Pb/hFj/i2L/sZX/dEL/bzz/sJT/tJn/dEP/+PX/jWX/jGT/tZr/ vKT/l3H/nnz/+vj/mnb/e0z//fz/7un/wav/bjv/j2f/t53/uqH/d0b//Pv/ tZv/0MD/rZD/u6L/fE7/qYv/ooD/7eb/eUn/ajX/fU//hFn/hFf/cj//2s3/ wq3/dkX/e0v//v7//f3/mXX/t57/hlr/oX//mnX/xrL/uJ7/uJ//iF7/p4j/ x7P/eEj/eEcAAABaX9HMAAAAAWJLR0R3RmT51wAAAAd0SU1FB+gLFRAXCt+k awsAAAFySURBVDgR3cGHQhNBAATQ2clGEkmOIxi93ah7jlhiLGBXsGAv2AWx 41lQUex+vxdyifALvIcNzRiswz4wB8Mc1mLJlnMgYS1IWAtiYBMxVKlurg7X LFmvk6VoJB4FDQpEY2xLc2tzWzLifKvl4ZPtO3Z6ED1kSHdp1e7xmtSI9uzV vv0A0UOGtK0DnYOHpMNHpNGJSR091nBEgQxpW8dP1E5O6tRpaeKMzlanpok+ MqRtnTuPCxc1c0mXr0idylVigAzpNV3HjZu3dHtWd+7q3v0HEf4jQ/pQqx49 9nPKjQ2XiQEypPN6svB0YfpZbWpOz1/o5SuA6CND2lbr9WL8xvpMit++0/sP gegjw9KM5usd6+Czj/JJ8kmfxy2JHjIsLWs5tST8F6mB+KvUGXJEgS5Z+baS OBKR//7D/ywv/vrdTBxRIEvZn6xEgoji2Qh0lb+ZIzFAFxyRI6wFQRscsQa7 0MUcwC6sY1AwBjljsJH8A6eHMRpBqrK8AAAAJXRFWHRkYXRlOmNyZWF0ZQAy MDI0LTExLTIxVDE2OjIzOjEwKzAwOjAw2vdzTQAAACV0RVh0ZGF0ZTptb2Rp ZnkAMjAyNC0xMS0yMVQxNjoyMzoxMCswMDowMKuqy/EAAAAgdEVYdHNvZnR3 YXJlAGh0dHBzOi8vaW1hZ2VtYWdpY2sub3JnvM8dnQAAABh0RVh0VGh1bWI6 OkRvY3VtZW50OjpQYWdlcwAxp/+7LwAAABh0RVh0VGh1bWI6OkltYWdlOjpI ZWlnaHQANjAwet69tQAAABd0RVh0VGh1bWI6OkltYWdlOjpXaWR0aAA2MDDp L+3oAAAAGXRFWHRUaHVtYjo6TWltZXR5cGUAaW1hZ2UvcG5nP7JWTgAAABd0 RVh0VGh1bWI6Ok1UaW1lADE3MzIyMDYxOTC0x1JDAAAAE3RFWHRUaHVtYjo6 U2l6ZQAxMzcxMkJCmpV5XgAAADx0RVh0VGh1bWI6OlVSSQBmaWxlOi8vdG1w L2xldHRlcl9hdmF0YXJzLzIvUEsvMjU1XzEzOF85Ni82MDAucG5nEEMgcAAA AABJRU5ErkJggg== " /> </div> </div> <div> <div class="blog-card__authors-text"> <div class="blog-card-author-list" style="width: 100%;"> <a href="/users/516017"><p class="blog-card__owner">Chih Chun Gina Chou</p></a> <p class='blog-card__remaining-text'>and 2 more</p> </div> </div> <time datetime="2024-03-12" class="blog-card__date">March 12, 2024</time> </div> </div> </div> <div class='blog-card__preview-content-container'> <a href="/doi/full/10.22541/essoar.171052480.03633001/v1"> <div class='blog-card__preview-content'> It has been proven that assimilating winds from the Aeolus global Doppler wind lidar would enhance the predictive skill of weather forecast models. In this study, we use a series of Observing System Experiments to examine how operational winds and Aeolus winds impact Environment and Climate Change Canada’s global forecast system over the data-sparse Arctic region. Aeolus winds improve the tropospheric wind and temperature forecasts by about 0.7 to 0.9% of error reduction (a 15-20% effect compared to the impact of operational wind products), while having little impact on the specific humidity field. In particular, Aeolus winds have an impact on forecasts of strong wind days on the wind and temperature fields that is double the impact of the forecasts of less intense wind days and provides a disproportionate improvement to forecasts on these days compared to other operational wind measurements. These findings suggest significant potential for global doppler wind lidar observations to enhance severe-weather prediction in polar regions. </div> </a> </div> </div> </div> <div class="blog-card"> <div class="blog-card__container"> <div class='blog-card__top-row'> </div> <div class='blog-card__heading-container '> <a href="/doi/full/10.22541/essoar.171631653.38139772/v1"> <div class="blog-card__title"> Disentangling the roles of internal atmospheric variability and ENSO on California pr... </div> </a> </div> <div class="blog-card__author-container"> <div class="blog-card__author-information"> <div class="blog-card__images-container"> <div class="blog-card__first-avatar"> <img alt="Kristen Guirguis" width="24" height="24" class="user-profile-pic" src="data:image/jpg;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAMAAABEpIrGAAAABGdBTUEAALGP C/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3Cc ulE8AAABd1BMVEWbzl+bzl6azV6azl6czmGdz2KdzmKbzmCdz2OTylKPyE2Z 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class="blog-card__date">May 21, 2024</time> </div> </div> </div> <div class='blog-card__preview-content-container'> <a href="/doi/full/10.22541/essoar.171631653.38139772/v1"> <div class='blog-card__preview-content'> Water years (WY) 2017 and 2023 were anomalously wet for California, each helping to terminate multiyear droughts. In both cases, this was unexpected given La Niña conditions, with most seasonal forecasts favoring drier-than-normal winters. We analyze over seven decades of precipitation and snow records along with mid-tropospheric circulation to identify recurring weather patterns driving California precipitation and Sierra Nevada snowpack. Tropical forcing by ENSO causes subtle but important differences in these wet weather patterns, which largely drives the canonical ENSO-precipitation relationship. However, the seasonal frequency of these weather patterns is not strongly modulated by ENSO and remains a primary source of uncertainty for seasonal forecasting. Seasonal frequency of ENSO-independent weather patterns was a major cause of anomalous precipitation in WY2017, record-setting snow in WY2023, and differences in precipitation outcome during recent El Niño winters 1983,1998 and 2016. Improved understanding of recurrent atmospheric weather patterns could help to improve seasonal forecasts. </div> </a> </div> </div> </div> <div class="blog-card"> <a href="/users/530171/articles/722630-a-simple-model-for-the-evaporation-of-hydrometers-and-their-isotopes?commit=5f9be1ac674c71f6f76467c4f49f6dd1b0a902a6"> <div class="blog-card__image-container"> <img onerror="$(this).closest('a').remove()" height="200" class="blog-card__image-tag" loading="lazy" src="https://d197for5662m48.cloudfront.net/images/tagdashboard/banner/large-243fcdb05f224a75295a129767fd9215.jpg" /> </div> </a> <div class="blog-card__container"> <div class='blog-card__top-row'> </div> <div class='blog-card__heading-container '> <a href="/users/530171/articles/722630-a-simple-model-for-the-evaporation-of-hydrometers-and-their-isotopes?commit=5f9be1ac674c71f6f76467c4f49f6dd1b0a902a6"> <div class="blog-card__title"> A Simple Model for the Evaporation of Hydrometers and Their Isotopes </div> </a> </div> <div class="blog-card__author-container"> <div class="blog-card__author-information"> <div class="blog-card__images-container"> <div class="blog-card__first-avatar"> <img alt="Simon P. de Szoeke" width="24" height="24" class="user-profile-pic" src="data:image/jpg;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAMAAABEpIrGAAAABGdBTUEAALGP C/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3Cc ulE8AAABMlBMVEWiiH6ih32iiH2hh32kioGki4GiiX+jioCfhXqXem+Vd2yW eW2eg3iWeG2dgnijiX+YfHG/rabKvLbDsqyWeW6+rKXEs62znpX////Csaub f3SznpaghXuegni4pJyafnOqk4r5+PivmZGVeGz49vaxnJOafnSjiYCxm5Pp 4+CDYFOghnuSdGi+q6S9qqPq5OKCX1K6p6DBsKqYe3CkioCeg3mbf3WdgXf9 /f3Ar6iZfHKXe3Db0s6wmpHc08+VeG2ghnzMvbj39fTUyMOhhnzLvbjXzMic gXaqkon28/K4pJ2TdmqafXOZfXKpkon18vG5pZ6ZfHHCsaqljIOHZVm6pp+7 qKG2opqHZlnFtK6wmpL8+/vs5uS1oZmmjYTp4+Hc0s/d08/JurTIubOxnJQA AABukwWSAAAAAWJLR0Rltd2InwAAAAd0SU1FB+gLFRAXEVXBoucAAAFeSURB VDgR3cGNWtJQAAbgb3ycHTk0Nmzqhy5GWVpBlG1kWYZZmpWpZf/2q97/NfTQ WqHege+Lc8eroOBVcBYLAAs4jaga45Mgqsb4JE6inai5+gVL2omaCxqWxDiG 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class="blog-card__second-avatar"> <img alt="Mampi Sarkar" width="24" height="24" class="user-profile-pic" src="data:image/jpg;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAMAAABEpIrGAAAABGdBTUEAALGP C/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3Cc ulE8AAABX1BMVEX+2hD+2g/+2Q/92Q/+2hT+2hX+2hL+2hH+2xb+2hb92Q79 1gD91QD92AT92Qv91AD92Q3+5FH+5l/+3Sb92AP91wL+3Sj92Qz91wH+5Vn+ 6nj+52b+2xj92An////+983+2hP92hD++Nb+3zb+6Gv+3CH91wD+/fb+407+ 3CD++uD+4Df92Qr+++j+64L+2xz+7ZD+++n+99D9zgD92Qj90wD+6G/92Af+ 9cD+9sX+9b7+9L3+/fX+52T92Ab+403+4Db+4T7+4T3+9cL+4Dj+8aj+4Dn+ +dn+87P9zQD+87T90gD++dz+6Xb+75v+++b9zwD+8qv92Qn+3Bz++dv+40r+ ++X90QD+4UD+9Lv+3i7+5Vf+5Fb+4lD+7Y7++d7+++r++t/92Aj+3SX+/vn+ 9Lr+/Oz+63/+6nn+87f+5mH92AX+2xf+7IT+2xn+6HD+6XH+52P+6XT+4DwA AAB1YkUqAAAAAWJLR0R0322obQAAAAd0SU1FB+gLFRAXBtYSJyAAAAGmSURB VDgR3cGHVhNRFAXQ886Ul+TdyQyoIMocYyGiBnsMomKviCJ2sWLviv+/ljOg C/0F9sZG4hzWOIeKcw7/YQ0OrIGMoojEOiJOUgJgmsQgfdJopiT+cEQrWJYS TDMLLcZtyy2LSawhimJoeNPmNEq3jAwPjfqwdWzb9nHzJFbRl5G0I+/sTG2X 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</div> <div> <div class="blog-card__authors-text"> <div class="blog-card-author-list" style="width: 100%;"> <a href="/users/530171"><p class="blog-card__owner">Simon P. de Szoeke</p></a> <p class='blog-card__remaining-text'>and 4 more</p> </div> </div> <time datetime="2024-03-07" class="blog-card__date">March 07, 2024</time> </div> </div> </div> <div class='blog-card__preview-content-container'> <a href="/users/530171/articles/722630-a-simple-model-for-the-evaporation-of-hydrometers-and-their-isotopes?commit=5f9be1ac674c71f6f76467c4f49f6dd1b0a902a6"> <div class='blog-card__preview-content'> A document by Simon P. de Szoeke. Click on the document to view its contents. </div> </a> </div> </div> </div> <div class="blog-card"> <div class="blog-card__container"> <div class='blog-card__top-row'> </div> <div class='blog-card__heading-container '> <a href="/doi/full/10.22541/essoar.171052572.20758573/v1"> <div class="blog-card__title"> High-resolution microclimate modelling to evaluate urban heat mitigation potentials... </div> </a> </div> <div class="blog-card__author-container"> <div class="blog-card__author-information"> <div class="blog-card__images-container"> <div class="blog-card__first-avatar"> <img alt="Nils Eingrüber" width="24" height="24" class="user-profile-pic" src="https://d197for5662m48.cloudfront.net/images/user/750989/profile_image/thumbnail-2a45039f229855d6d4e2e1d95e7a5f61.jpeg" /> </div> <div class="blog-card__second-avatar"> </div> </div> <div> <div class="blog-card__authors-text"> <div class="blog-card-author-list" style="width: 100%;"> <a href="/users/750989"><p class="blog-card__owner">Nils Eingrüber</p></a> <p class='blog-card__remaining-text'>and 4 more</p> </div> </div> <time datetime="2024-03-15" class="blog-card__date">March 15, 2024</time> </div> </div> </div> <div class='blog-card__preview-content-container'> <a href="/doi/full/10.22541/essoar.171052572.20758573/v1"> <div class='blog-card__preview-content'> Due to global warming, heat stress is becoming a major challenge especially in cities where an intensification of the urban heat island effect is observed and further expected. Climate change adaptation measures are a key strategy to mitigate heat stress and health consequences. Successful adaptation should cool down both indoor and outdoor conditions. As indoor heat is mainly caused by wall heat flux, measures like green, blue or blue-green roofs or facades are a promising approach. These measures on buildings can also easily be scaled as they do not require additional space. However, cooling effects of evaporation-based measures are largely limited by water availability to enable latent heat flux and reduce wall heat flux at extreme heat events or prolonged drought periods. Rainfed water storage systems at buildings like cisterns with a PV-driven pumping mechanism not only supply water for greenings or wet roofs during hot days, but also store storm water to reduce flooding risks. This research aims to simulate heat mitigation effects of rainfed nature-based and technical solutions on buildings using the physically-based high-resolving microclimate model ENVI-met in contrasting climatic conditions. A 3D gridded 16 ha model domain of an urban high-density area in the mid-latitude city of Cologne/Germany and monsoon driven city of Pune/India was parameterised using field observations and remote sensing data. Both models are validated based on a setup quality-controlled, densely-distributed microclimate sensor network. Scenario analyses are performed to quantify cooling effects of intensive/extensive roof greenings, (non-)ground-based facade greenings, wet roofs and combinations. Specific water demands for irrigation of greenings or blue roofs from a managed local rainfed storage are determined to analyse how often and effectively the systems can be operated. Simulation results show significant potential cooling effects in both study areas which are stronger for Pune. Due to water scarcity in the Indian pre-monsoon season, actual heat mitigation potentials are significantly lower than in Cologne as measures can rarely be operated for extreme heat waves at the end of the season. To effectively improve thermal comfort in monsoon conditions, potentials of other measures will be simulated in further research. </div> </a> </div> </div> </div> <div class="blog-card"> <div class="blog-card__container"> <div class='blog-card__top-row'> </div> <div class='blog-card__heading-container '> <a href="/doi/full/10.22541/essoar.171033180.01827632/v1"> <div class="blog-card__title"> Dependencies of Simulated Convective Cell and System Growth Biases on Atmospheric Ins... </div> </a> </div> <div class="blog-card__author-container"> <div class="blog-card__author-information"> <div class="blog-card__images-container"> <div class="blog-card__first-avatar"> <img alt="Zhixiao Zhang" width="24" height="24" class="user-profile-pic" src="data:image/jpg;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAMAAABEpIrGAAAABGdBTUEAALGP C/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3Cc ulE8AAABGlBMVEWt1n2t1nys1nys1Xyt1n6v14Co03ah0Gui0Gyp1Heh0Gq4 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evaluates convective cell properties and their relationships with convective and stratiform rainfall within a season-long convection-permitting simulation over central Argentina using measurements from the RELAMPAGO-CACTI field campaign. While the simulation reproduces the total observed rainfall, it underestimates stratiform rainfall by 46% and overestimates convective rainfall by 43%. As Convective Available Potential Energy (CAPE) increases, the overestimation of convective rainfall decreases, but the underestimation of stratiform rainfall increases such that the high bias in the contribution of convective rainfall to total rainfall remains approximately constant at 26% across all CAPE conditions. Overestimated convective rainfall arises from the simulation generating 2.6 times more convective cells than observed despite similar observed and simulated cell growth processes, with relatively wide cells contributing most to excessive convective rainfall. Relatively shallow cells, typically reaching heights of 4–7 km, contribute most to the cell number bias. This bias increases as CAPE decreases, potentially because cells and their updrafts become narrower and more under-resolved as CAPE decreases. The gross overproduction of shallow cells leads to overly efficient precipitation and inadequate detrainment of ice aloft, thereby diminishing the formation of robust stratiform rainfall regions. Decreasing the model’s horizontal grid spacing from 3 to 1 or 0.333 km for representative low and high CAPE cases results in minimal change to the cell number and depth biases, while the stratiform and convective rainfall biases also fail to improve. This suggests that improving prediction of deep convective system growth depends on factors beyond solely increasing model resolution. </div> </a> </div> </div> </div> <div class="blog-card"> <a href="/doi/full/10.22541/essoar.170957480.06815908/v1"> <div class="blog-card__image-container"> <img onerror="$(this).closest('a').remove()" height="200" class="blog-card__image-tag" loading="lazy" src="https://d197for5662m48.cloudfront.net/users/539339/articles/721153-moisture-transport-axes-a-unifying-definition-for-monsoon-air-streams-atmospheric-rivers-and-warm-moist-intrusions/master/file/figures/AR schematic/AR schematic.png?1709574806" /> </div> </a> <div class="blog-card__container"> <div class='blog-card__top-row'> </div> <div class='blog-card__heading-container '> <a href="/doi/full/10.22541/essoar.170957480.06815908/v1"> <div class="blog-card__title"> Moisture transport axes: a unifying definition for monsoon air streams, atmospheric r... </div> </a> </div> <div class="blog-card__author-container"> <div class="blog-card__author-information"> <div class="blog-card__images-container"> <div class="blog-card__first-avatar"> <img alt="Clemens Spensberger" width="24" height="24" class="user-profile-pic" src="data:image/jpg;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAMAAABEpIrGAAAABGdBTUEAALGP C/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3Cc ulE8AAABUFBMVEW7Zcq7ZMq6ZMm8aMu8acu7Z8q8Z8q0VcSxT8KyUcO2W8a7 Zsq0V8WxUMK1WMW2WsbLitfYp+DVoN7AcM64X8eyUsPIgtTXpeDGftK4YMj7 9/z////etOW6Y8m1Wcbx4PTu2vK1V8W5Ysm0VsX58frRmNu5Yci/bs3x4fTO kNiqP7zjwOnivui4X8i4Xsfiv+mzU8TNj9jgueeqP72vSsDBc87w3vP47/mw TcGwTMG3XMf69fvu2fGxTsLHgNO9asu5YMivS8Hnyey1WcXlxevDeNC3Xce0 VsS6ZcnDedC3XsfNjtjt1/HjwenDd9CzVcTguufnyuyzU8PQlNrcseSqQL2w TsK+bc39+v3r0/CtRr/37fjMi9fOktmsRL737vnUn97Wo9/s1fC6ZMrCd9D4 8Pr+/v6+bMzSmdzXpuDWpN/LitbYpuDQldq8Z8sAAAC+TZGAAAAAAWJLR0Rv VQhhgQAAAAd0SU1FB+gLFRAXC6ijW50AAAF2SURBVDgR3cFnW9NQGAbg531y cnKa0zSuAPraImG4KlTQWqtgESi4UOvCPXDh+v8fraRcMv4B943DRkRQEMFB 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LzE4N18xMDFfMjAyLzYwMC5wbmeQgQoZAAAAAElFTkSuQmCC " /> </div> <div class="blog-card__second-avatar"> <img alt="Kjersti Konstali" width="24" height="24" class="user-profile-pic" src="data:image/jpg;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAMAAABEpIrGAAAABGdBTUEAALGP C/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3Cc ulE8AAABelBMVEWbzl+bzl6azl6azV6bzmCdz2OczmGczmCdz2KWy1iPyEuV y1aOx0qUylOQyE6SyVGZzV2PyE2WzFik0m7A4JuWy1eez2ORyU/B4Jyx2YOU ylS63ZGz2YWXzFq63ZC/35mZzVzC4Z7////C4Z2QyU6h0Wmu1373+/OPyEyc zmKJxUPe78vg8M6RyVC/35iIxUL8/fuu132IxEHx+OiKxUPP57Lk8dS+35eA wTTu9+XE4qGKxUSXzFj1+vB9vzC53ZD2+vCQyE2YzFqv2IDL5azW6r2KxkXn 89mdzmKTylKNx0rk8tWOyEvz+ezt9uKEwzuf0GaazV37/fna7cWUy1Xy+OqS yVDu9+S224qYzFu02oe224vo9NuLxka83pV/wDOl02/x+OmGwz6LxkXk8tTG 46Wez2S+35iMx0jl8tWFwzyXzFnw9+ei0Wvr9d/O57CNx0n3+/KOx0uo1HTO 57KVy1Wez2XK5avF4qO93pW63ZLO57GMxkcAAADf+XnRAAAAAWJLR0R9prEQ yQAAAAd0SU1FB+gLFRAXECLGknEAAAGLSURBVDgR3cGJWhJRAAXgc+fcOzM0 o0CA0ELI0cpst11pkVZptV3L9rCinfZ4+OBjIH0F/x8bi0GPQcJgPY+kByZg 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ZXR0ZXJfYXZhdGFycy8yL0tLLzE1NV8yMDZfOTUvNjAwLnBuZ/7awqUAAAAA SUVORK5CYII= " /> </div> </div> <div> <div class="blog-card__authors-text"> <div class="blog-card-author-list" style="width: 100%;"> <a href="/users/539339"><p class="blog-card__owner">Clemens Spensberger</p></a> <p class='blog-card__remaining-text'>and 2 more</p> </div> </div> <time datetime="2024-03-04" class="blog-card__date">March 04, 2024</time> </div> </div> </div> <div class='blog-card__preview-content-container'> <a href="/doi/full/10.22541/essoar.170957480.06815908/v1"> <div class='blog-card__preview-content'> The water vapor transport in the extratropics is mainly organized in narrow elongated filaments. These filaments are referred to with a variety of names depending on the contexts. When making landfall on a coastline, they are generally referred to as atmospheric rivers; when occurring at high latitudes, many authors regard them as warm moist intrusions; when occurring ahead of a cold front towards the core on an extratropical cyclone, the most commonly used term is warm conveyor belt. Here, we propose an algorithm that detects these various lines of moisture transport in instantaneous maps of the vertically integrated water vapor transport. The detection algorithm extracts well-defined maxima in the water vapor transport and connects them to lines that we refer to as moisture transport axes. By only requiring a well-defined maximum in the vapor transport, we avoid imposing a threshold in the absolute magnitude of this transport (or the total column water vapor). Consequently, the algorithm is able to pick up moisture transport axes at all latitudes without requiring region-specific tuning or normalization. We demonstrate that the algorithm can detect both atmospheric rivers and warm moist intrusions, but also prominent monsoon air streams. Atmospheric rivers sometimes consist of several distinct moisture transport axes, indicating the merging of several moisture filaments into one atmospheric river. We showcase the synoptic situations and precipitation patterns associated with the occurrence of the identified moisture transport axes in example regions in the low, mid, and high latitudes. </div> </a> </div> </div> </div> <div class="blog-card"> <div class="blog-card__container"> <div class='blog-card__top-row'> </div> <div class='blog-card__heading-container '> <a href="/doi/full/10.22541/essoar.170959964.40805357/v1"> <div class="blog-card__title"> Air-Ice-Ocean Coupling During a Strong Mid-Winter Cyclone, Part 1: Observing Coupled... </div> </a> </div> <div class="blog-card__author-container"> <div class="blog-card__author-information"> <div class="blog-card__images-container"> <div class="blog-card__first-avatar"> <img alt="Daniel Mark Watkins" width="24" height="24" class="user-profile-pic" src="https://d197for5662m48.cloudfront.net/images/user/599762/profile_image/thumbnail-8dc5eaf41185fd9775e6c8bc34f2abb0.jpeg" /> </div> <div class="blog-card__second-avatar"> <img alt="Ola Persson" width="24" height="24" class="user-profile-pic" src="data:image/jpg;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAMAAABEpIrGAAAABGdBTUEAALGP C/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3Cc ulE8AAABblBMVEX/qAD/pwD/qQL/qgT/qgX/qQP/qAL/owD/nAD/nwD/oAD/ oQD/rRD/yFz/zGj/vDj/ngD/ogD/pAD/sRv/ujX/tin/tyr/tir/tCL/qQD/ 0HX/////9uT/qQv/4qr/tiv/qQT/nQD/wEv/79H/shz/rAz/z3D/8tv/mgD/ 3Zr/zGv/rQ3/sx//x1r/qAP/qAH/9OH/pwn/kgD/4aX/vkL/357/wE7/lwD/ pgP/0nz/xFD/qgf/8NX/mwD/qwf/ujr/25L/jgD/35//wU7/mAD/qAT/lAD/ ymj/x1v/tCP/3Zv/siH/4KH/jQD/ymX/sRr/uC3//fr/rhD/3Jr/syH/4aP/ x13/rAv/7s//uDT/3JX/4KD/2pL/wkv/wUj/pwH/9eX/pAH/pwL/3Jn/kQD/ vUr/xFX/7sz/qwj/9ub/3Jf/xVP/rAn/14r/+/P/qgv/4KP/sBb/y2X/zWv/ wkn/qgP/vDn/1H//sh0AAAA9IYbaAAAAAWJLR0R5odzU0AAAAAd0SU1FB+gL FRAZAdb1nw0AAAFWSURBVDgR5cEJW0xRAAbg7ztnbvfMHOrOJZUvyyW5JJMh Ko3MZIlK9kpki7IvLfz8pq7Wxz+Y90WDYQbcgr1IY3MBCDYFG0DsQZjQuTwM ERbqPANiFwLuwMHmlqho4kOHW4+0tft8B7GN7HBHVdd5LHbHtelE3pDIkCeT UzrddaZbZwvpOZ3vudArXYxLRIZA1KdLaVi+rCvlfl29NlAe1FBiiQybwusa rtgb+RHdrNY0euv2nbsaSyyRYeDv6X5qjR/XxGRNDzD18JEeh4bIMPDtepJa 459qYvKZNj1PDIkMTTitmYrNFWb1ojqnl6+a518nIPEPgeiN3rp35feaX+jX h4UoigMSW0ibfNTiku/VJ59+1pfC16BEYgeB5Jvqvv+I3U+NJZYkdiNY+fV7 ecX71eLan79hidiHMEXnIhrCV0KQ2I80OWtB0ORKxH8wA25Aw1kHzI0qUpih 8McAAAAldEVYdGRhdGU6Y3JlYXRlADIwMjQtMTEtMjFUMTY6MjU6MDErMDA6 MDC9NAggAAAAJXRFWHRkYXRlOm1vZGlmeQAyMDI0LTExLTIxVDE2OjI1OjAx KzAwOjAwzGmwnAAAACB0RVh0c29mdHdhcmUAaHR0cHM6Ly9pbWFnZW1hZ2lj ay5vcme8zx2dAAAAGHRFWHRUaHVtYjo6RG9jdW1lbnQ6OlBhZ2VzADGn/7sv AAAAGHRFWHRUaHVtYjo6SW1hZ2U6OkhlaWdodAA2MDB63r21AAAAF3RFWHRU aHVtYjo6SW1hZ2U6OldpZHRoADYwMOkv7egAAAAZdEVYdFRodW1iOjpNaW1l dHlwZQBpbWFnZS9wbmc/slZOAAAAF3RFWHRUaHVtYjo6TVRpbWUAMTczMjIw NjMwMRGGDfIAAAATdEVYdFRodW1iOjpTaXplADE2MTUzQkLLuOAtAAAAO3RF WHRUaHVtYjo6VVJJAGZpbGU6Ly90bXAvbGV0dGVyX2F2YXRhcnMvMi9PUC8y NTVfMTY4XzAvNjAwLnBuZ7tOVN8AAAAASUVORK5CYII= " /> </div> </div> <div> <div class="blog-card__authors-text"> <div class="blog-card-author-list" style="width: 100%;"> <a href="/users/599762"><p class="blog-card__owner">Daniel Mark Watkins</p></a> <p class='blog-card__remaining-text'>and 6 more</p> </div> </div> <time datetime="2024-03-05" class="blog-card__date">March 05, 2024</time> </div> </div> </div> <div class='blog-card__preview-content-container'> <a href="/doi/full/10.22541/essoar.170959964.40805357/v1"> <div class='blog-card__preview-content'> Arctic cyclones are key drivers of sea ice and ocean variability. During the 2019-2020 Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition, joint observations of the coupled air-ice-ocean system were collected at multiple spatial scales. Here, we present observations of a pair of strong mid-winter cyclones that impacted the MOSAiC site as it drifted in the central Arctic pack ice, with analytic emphasis on the second cyclone. The sea ice dynamical response showed spatial structure at the scale of the evolving atmospheric wind field. Internal ice stress and the ocean stress play significant roles, resulting in timing offsets between the atmospheric forcing and the ice response and post-cyclone inertial ringing in the ice and ocean. A structured response of sea ice motion and deformation to cyclone passage is seen, and the consequent ice motion then forces the upper ocean currents through frictional drag. The strongest impacts to the sea ice and ocean from the passing cyclone occur as a result of the surface impacts of a strong atmospheric low-level jet (LLJ) behind the trailing cold front. Impacts of the cyclone are prolonged through the coupled ice-ocean inertial response. The local impacts of the approximately 120 km wide LLJ occur over a 12 hour period or less and at scales of a kilometer to a few tens of kilometers, meaning that these impacts occur at smaller spatial scales and faster time scales than many satellite observations and coupled Earth system models can resolve. </div> </a> </div> </div> </div> <div class="blog-card"> <a href="/doi/full/10.22541/essoar.170960070.07397688/v1"> <div class="blog-card__image-container"> <img onerror="$(this).closest('a').remove()" height="200" class="blog-card__image-tag" loading="lazy" src="//d197for5662m48.cloudfront.net/assets/blog/default_image-be9182bca7b6523bb6c72e32e5c12398f36b92d81f6ee7882327b6145744bf1f.jpg" /> </div> </a> <div class="blog-card__container"> <div class='blog-card__top-row'> </div> <div class='blog-card__heading-container '> <a href="/doi/full/10.22541/essoar.170960070.07397688/v1"> <div class="blog-card__title"> SLUCM+BEM (v1.0): A simple parameterisation for dynamic anthropogenic heat and electr... </div> </a> </div> <div class="blog-card__author-container"> <div class="blog-card__author-information"> <div class="blog-card__images-container"> <div class="blog-card__first-avatar"> <img alt="Yuya Takane" width="24" height="24" class="user-profile-pic" src="data:image/jpg;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAMAAABEpIrGAAAABGdBTUEAALGP C/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3Cc ulE8AAABBVBMVEW8qqS7qaO9q6W9q6a9rKa8q6W1oZq6qKK0oJm2o5y3o52y npezn5jRxcHPw765pqC6p6HTyMTKu7fJurXYzsvUyMTUycXVysbUyMXXzMjR xMC4pZ/v6+n////Qw7+znpi/rqixnJXg2NXXzMnj3Nn8+/u0oZq2o52/raj4 9/a5p6DAr6nJura+rKfa0MzHubTEtK+5p6G8qaOwm5Th2deokYnd1NHVyse4 pJ6tl5DRxcC4pZ63pJ65pp/29POvmpP+/v67qKK+rajf1tTr5uTQxMD+/f31 8vGzn5nb0s+ynZa+rKa7qaTWy8eznpfZz8zWy8jGt7Le1dPFtbDCsqy8qqUA AADXGMztAAAAAWJLR0RWCg3piQAAAAd0SU1FB+gLFRAXH7J5j+AAAAEkSURB VDgR5cGLNhtRGIbh703/iSGbiTI7NP2NlKo6S6st6Ukc6lCKcv+3IlayyLSX 4Hn0rNAjiWEagiovhJAlifVV0BNEtYrQSDo6VgsPalWBBhCMT2SozuTLqek8 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class="user-profile-pic" src="data:image/jpg;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAMAAABEpIrGAAAABGdBTUEAALGP C/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3Cc ulE8AAABQVBMVEW8qqS7qaO9q6a9q6W9rKa8qqW7qqS6qKK0oJm2opy5pqCz n5i3pJ62o5y8q6W6p6Gzn5m1oZq/rqjUyMXKvLi4pZ/Ar6nVysbHubTTx8PL vbi4pp/SxsK7qKL+/v7////Bsau3o52+rKaxnZbx7u3Mvrr29PO0oJr18vLd 09C1oZuynpfOwbzn4d+3pJ3Gt7Lx7eyslo7Ds66xnJXp4+Lh2daumJHz8O/B sKuslo/u6ujFtrHEtK708fCnj4ff1tPt6Oewm5S8qaTJurbs5+XCsqzp4+H4 9va5p6Ht6ObAsKrDs6349vX6+PjIubW+rafEtK/l39z6+fm1opvEta++rKe/ rqnc0s/j29nFtbDCsq3w7OvMv7q0n5nFtrD39fXYzsv18vHRxcHb0s/b0c7R xMDd1NG6qKGynZe8qaMAAAAjtLDLAAAAAWJLR0RqJWKVDgAAAAd0SU1FB+gL FRAXC6ijW50AAAFWSURBVDgR5cGLXtJgHMfh78/3JYZsLK1lZvmPaVquhkFG VmZYJNkBi+h8Pnf/NxB9VJrX4PNwpGgEtA/9Q4GYcBLCl/BOCO8QB46JclBB YrIaKohQLT4+JcQ+EU+fOBlCcmrmdDx7Zs6FzJ4tC7FHnJuct/P1dGHRLqS2 tKzqRbu04iT2SD67bFeyvGGrV5u2GLSu2dr1EuKAIGvbjfWbdqt12zbubNrd DoixLU0s37O12O5nSdceNGy70quJAsm12vbQdsLkkT1+Yk87fXGIXGXX7Fmr 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class='blog-card__remaining-text'>and 3 more</p> </div> </div> <time datetime="2024-03-05" class="blog-card__date">March 05, 2024</time> </div> </div> </div> <div class='blog-card__preview-content-container'> <a href="/doi/full/10.22541/essoar.170960070.07397688/v1"> <div class='blog-card__preview-content'> A document by Yuya Takane. Click on the document to view its contents. </div> </a> </div> </div> </div> <div class="blog-card"> <div class="blog-card__container"> <div class='blog-card__top-row'> </div> <div class='blog-card__heading-container '> <a href="/doi/full/10.22541/essoar.170965064.48877472/v1"> <div class="blog-card__title"> Sensitivity of urban heat islands to various methodological schemes </div> </a> </div> <div class="blog-card__author-container"> <div class="blog-card__author-information"> <div class="blog-card__images-container"> <div class="blog-card__first-avatar"> <img alt="Gemechu Fanta Garuma" width="24" height="24" class="user-profile-pic" src="data:image/jpg;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAMAAABEpIrGAAAABGdBTUEAALGP C/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3Cc ulE8AAABU1BMVEVIwvlHwvlHwfhHwflLw/lMw/lKwvlNw/lJwvk3vPgvufg6 vfguufg1u/hGwfhAv/gzu/hqzfqU2/trzfpBv/hFwfgwuvheyfmR2vuW3Pt1 0fo8vvhCwPje9P3////a8v04vPhEwPi76Pz3/P7E6/2q4vxDwPiz5fwyuvif 3/vL7f2V2/vh9f49vvhTxfnl9v4ktvc+vvgtufj7/f4/v/j+/v40u/gitffO 7v1dyfl/1Pqh3/tOxPk5vfhYx/nR7/07vfiL2PuI1/tly/lky/liyvk2vPhg yvm35/wsuPhfyflmzPphyvmJ1/sruPhcyPn4/P5pzfqj4Pt00Prt+f5UxvnS 8P1vz/pjy/nI7P1Rxfnr+P4nt/cOrvfd8/0Jrfao4vy96fy55/wquPhPxPlm zPnV8f2n4fyx5fzD6/1ozPpbyPmT2/uO2ftayPkxuvgAAAASY3qWAAAAAWJL R0Rw2ABsdAAAAAd0SU1FB+gLFRAXG7UUS/kAAAGKSURBVDgR3cFpWxJRGAbg 5zxn4TAMMJHSMvSKVkahFSNtxiQagZXZvu/7Xv//W8Nw2SX+BO8b+4zKYEIp hb0UcwqA5pjGNMJYa0CAcLZgQEyhRzEIivAkXCkIyxVH7EJXjQ7UagejGY/Z +qHDR44WY0fsUPSN0jHJzDXnfbAgmeMudtSY0NqEJ+TkYvWULLRap+WMiduy FAEaE3TLZ+Xc+eVOsiLd4gUpX6xcuixXYkfkFG20KleTXlyOuuk1WUt6nWKr P09o5BRtfV02An99cGMwHMnmTd66vTXws9DIKdr6utzZ7kkmvSubSXpPRO6n hgpjijZalQfbhYeDRzJ8LE8SPn32XLZSQ4UcXeeFvHxVGr5+I91oRUqtztt3 MkoNFXKaJnkvH2bikYj/WJM5E39aks+pocIE/WLzi4x9TX3wTca+VysgdtA3 gh/t9kYhrHgmP3/Vfv8JGp4K/9H7Zhj+7RoQph+E9b7zxG6EKVjrqUE6a60D MUUxpwFojmmFPVQGE0op7C//AO4oLfen1wIJAAAAJXRFWHRkYXRlOmNyZWF0 ZQAyMDI0LTExLTIxVDE2OjIzOjI3KzAwOjAwkd9KIAAAACV0RVh0ZGF0ZTpt b2RpZnkAMjAyNC0xMS0yMVQxNjoyMzoyNyswMDowMOCC8pwAAAAgdEVYdHNv ZnR3YXJlAGh0dHBzOi8vaW1hZ2VtYWdpY2sub3JnvM8dnQAAABh0RVh0VGh1 bWI6OkRvY3VtZW50OjpQYWdlcwAxp/+7LwAAABh0RVh0VGh1bWI6OkltYWdl OjpIZWlnaHQANjAwet69tQAAABd0RVh0VGh1bWI6OkltYWdlOjpXaWR0aAA2 MDDpL+3oAAAAGXRFWHRUaHVtYjo6TWltZXR5cGUAaW1hZ2UvcG5nP7JWTgAA ABd0RVh0VGh1bWI6Ok1UaW1lADE3MzIyMDYyMDf5J8LwAAAAE3RFWHRUaHVt Yjo6U2l6ZQAxNDA1NEJCvl9+EwAAADx0RVh0VGh1bWI6OlVSSQBmaWxlOi8v dG1wL2xldHRlcl9hdmF0YXJzLzIvR0cvNzJfMTk0XzI0OS82MDAucG5n5Eb8 CQAAAABJRU5ErkJggg== " /> </div> <div class="blog-card__second-avatar"> </div> </div> <div> <div class="blog-card__authors-text"> <div class="blog-card-author-list" style="width: 100%;"> <a href="/users/533832"><p class="blog-card__owner">Gemechu Fanta Garuma</p></a> </div> </div> <time datetime="2024-03-05" class="blog-card__date">March 05, 2024</time> </div> </div> </div> <div class='blog-card__preview-content-container'> <a href="/doi/full/10.22541/essoar.170965064.48877472/v1"> <div class='blog-card__preview-content'> Existing research has employed various methods to quantify urban heat island (UHI) effects, but the ideal method for individual cities remains unclear. This study investigated how different methods influence UHI understanding in Addis Ababa, a tropical city facing UHI challenges. Three methods were compared: dynamic urbanization, natural and built-up fractions, and urban center vs. surrounding rural areas. Satellite data and spatial analyses revealed maximum daytime UHIs of 4°C and 3.1°C in summer and autumn, respectively. Examining the mean temperature differences between urban and rural areas across methods yielded diverse results. This suggests that while the ‘dynamic urbanization’ method is statistically favorable in this specific case, averaging results from multiple methods produced a more robust and generalizable approach to understanding UHIs in different urban contexts. Ultimately, this study highlights the importance of context-specific method selection for accurately understanding the complex interplay between urban and rural environments. </div> </a> </div> </div> </div> <div class="blog-card"> <div class="blog-card__container"> <div class='blog-card__top-row'> </div> <div class='blog-card__heading-container '> <a href="/doi/full/10.22541/essoar.170957926.64207292/v1"> <div class="blog-card__title"> Influence of parameterization changes on Arctic low cloud properties and cloud radiat... </div> </a> </div> <div class="blog-card__author-container"> <div class="blog-card__author-information"> <div class="blog-card__images-container"> <div class="blog-card__first-avatar"> <img alt="Patrick C Taylor" width="24" height="24" class="user-profile-pic" src="data:image/jpg;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAMAAABEpIrGAAAABGdBTUEAALGP C/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3Cc ulE8AAABL1BMVEX/imD/iV//il//jGL/imH/i2H/jWT/jGP/h13/f1L/gFL/ hlr/g1f/eUr/e0v/ekv/fE3/iF7/iWD/h1z/o4L/nnv/nXr/e0z/hFj/mnb/ vKX/tJn/tZv/tpv/tJr/tpz/gFP/n3z/////v6j/azf/v6n/hlv/2Mr/jmX/ m3f/ooH/9/T/qIn/kmv/18j/m3j/iF3/mXX/z77/bzz/c0H/1MT/dEP/hVn/ dkb/bjr/gVP/mnX/0L//cT7/d0b/kWr/eUn/kWn/glX/08T/ekr/j2b/i2L/ 1sj/mXT/k23/5t3/uqH/jmb/0sP/eEf/jGT/nHn/08P/mnf/49n/rI7/s5j/ lG7/zLr/ZzH/fU//0sL/kGj/0cH/nHj/18n/eEj/j2f/w67/pYX/glYAAACA S36MAAAAAWJLR0Rkwtq4CQAAAAd0SU1FB+gLFRAYClg8d8QAAAFASURBVDgR 3cGFQsJQGAXgc7hjk1BBdBOL6283YDsDUWcyu1vf/x0kpjPewO/DP8WGCH7i X/iOUDUGGTUbLBAhoikWi8XjCctINre01qTSYBsCRMZq7+iwbTqd2a7unt6e vlwunQYRoNL9UjcwOCSB6LBBBKh0VkZGx8YnZDI5PjUp05Y9kyeIAJUuSHE2 P5eV+YXFpSkpLidXCOITlXZldY3rGzJf2izPyNb2jgfiC5XOym5mb/9ADp2j uCsV/5hEiEqfSN2pA0u7UvFNEiEqfSbnF4eXV04ennal4pskQlS6INc3t07Z A5V2peKbJEJUuiB3zr3lgVS6IA++SSJEpR9l2rdIgkqfyNOzSSJEI/Hy+vYe ZQQgMma33WkQ35AYLmmDRBWRSZUNEj8Qpkc0EJZH/MYqBFiFPyIIRfDffAC/ cSangMPK/gAAACV0RVh0ZGF0ZTpjcmVhdGUAMjAyNC0xMS0yMVQxNjoyNDox MCswMDowMDgraDQAAAAldEVYdGRhdGU6bW9kaWZ5ADIwMjQtMTEtMjFUMTY6 MjQ6MTArMDA6MDBJdtCIAAAAIHRFWHRzb2Z0d2FyZQBodHRwczovL2ltYWdl bWFnaWNrLm9yZ7zPHZ0AAAAYdEVYdFRodW1iOjpEb2N1bWVudDo6UGFnZXMA Maf/uy8AAAAYdEVYdFRodW1iOjpJbWFnZTo6SGVpZ2h0ADYwMHrevbUAAAAX dEVYdFRodW1iOjpJbWFnZTo6V2lkdGgANjAw6S/t6AAAABl0RVh0VGh1bWI6 Ok1pbWV0eXBlAGltYWdlL3BuZz+yVk4AAAAXdEVYdFRodW1iOjpNVGltZQAx NzMyMjA2MjUwGjSjFgAAABJ0RVh0VGh1bWI6OlNpemUANzg4MUJC83UjSQAA ADx0RVh0VGh1bWI6OlVSSQBmaWxlOi8vdG1wL2xldHRlcl9hdmF0YXJzLzIv UFQvMjU1XzEzOF85Ni82MDAucG5njBr7dAAAAABJRU5ErkJggg== " /> </div> <div class="blog-card__second-avatar"> <img alt="Robyn C. Boeke" width="24" height="24" class="user-profile-pic" src="data:image/jpg;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAMAAABEpIrGAAAABGdBTUEAALGP C/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3Cc ulE8AAABYlBMVEWPpK+OpK+Oo66QpK+SprGRprGRpbCRprCJn6t/l6SAmKSA l6SBmKWEm6eMoa2No66BmaWDm6ecr7jBzNK4xcy6x823xMujtL2LoayDmqaN oq25xs2nuMCTp7H///+pucKQpa/H0dexwMfT2+Cbrrixv8eInqrw8/SUqLKd r7n6+/ufsbqGnamQpbCywMjM1dp2kJ1zjZvS2t+dsLnv8vN4kZ6MoaxuiZe1 wsrL1dra4eSbrbeCmabt8PKFnKjr7/GarbeHnqnV3eGSp7GgsrvF0Nb19/j4 +fr7/Px6k6C0wsnj6Ov+/v7X3uLd5OfU3OD09veKoKuzwcl5kp9viphyjZqv vsbJ09h1j5x8lKHn7O7v8vSMoq2WqrTW3uJ+lqOCmaXO19zm6+13kZ6Tp7Ke sLqbrrfo7e+2xMt9laLm6u3H0tent8CJn6qVqbOuvcWHnam8yc+7yM6tvMSC mqYAAAAOtxNhAAAAAWJLR0R1qGqY+wAAAAd0SU1FB+gLFRAXDtjJrxIAAAFy SURBVDgR3cELVwxhAAbgd96Zb75pdqwPu7Y2XqE2l2a05RbaSC5Fsu5RdhFF rvH/j9PayXYcf6DnwR7jefjD8/Av5sAu7EY/MIEJQcIaY0KfRA8SUV9cSPYV Q+53cRwfiEIQf9GPDh4qlQ9X+gdQLZdLg0eOxgSxg9aV1HEsHlLHcTdEIkfr TuhkMDwiRTWNnjpdOaOzYymRo3WZzo2zPqFJp/MXLl66rMHEEDlal2lqvL9+ RVevaboeN2Z0/UZK5Ghdptmbc7d02xWlO3elbD4gkaN1C9p2j42q7i8+WNJD Nn0iR+syLRYfafYxmpp+kjx9pud9hh66aF2mqRfLL1VJqno1v7K8qtctQw9d tO0RvRmozentuxWNrr3/sK6FtiVytG5DS621j5+00VbHRBsgcvSj4c3PtfDL 181v339slbZ+rsZVEDtIRK0x0G+2GkwKceFXLQXRi36QEvSDlCYwgU1J7MJt YA/8n+d52Gt+A62PMXRIBkppAAAAJXRFWHRkYXRlOmNyZWF0ZQAyMDI0LTEx LTIxVDE2OjIzOjE0KzAwOjAwLrhXXgAAACV0RVh0ZGF0ZTptb2RpZnkAMjAy NC0xMS0yMVQxNjoyMzoxNCswMDowMF/l7+IAAAAgdEVYdHNvZnR3YXJlAGh0 dHBzOi8vaW1hZ2VtYWdpY2sub3JnvM8dnQAAABh0RVh0VGh1bWI6OkRvY3Vt ZW50OjpQYWdlcwAxp/+7LwAAABh0RVh0VGh1bWI6OkltYWdlOjpIZWlnaHQA NjAwet69tQAAABd0RVh0VGh1bWI6OkltYWdlOjpXaWR0aAA2MDDpL+3oAAAA GXRFWHRUaHVtYjo6TWltZXR5cGUAaW1hZ2UvcG5nP7JWTgAAABd0RVh0VGh1 bWI6Ok1UaW1lADE3MzIyMDYxOTSzqpZaAAAAE3RFWHRUaHVtYjo6U2l6ZQAx Nzk4N0JCxfcISAAAAD10RVh0VGh1bWI6OlVSSQBmaWxlOi8vdG1wL2xldHRl cl9hdmF0YXJzLzIvUkIvMTQzXzE2NF8xNzUvNjAwLnBuZ28jAzsAAAAASUVO RK5CYII= " /> </div> </div> <div> <div class="blog-card__authors-text"> <div class="blog-card-author-list" style="width: 100%;"> <a href="/users/531603"><p class="blog-card__owner">Patrick Charles Taylor</p></a> <p class='blog-card__remaining-text'>and 2 more</p> </div> </div> <time datetime="2024-03-04" class="blog-card__date">March 04, 2024</time> </div> </div> </div> <div class='blog-card__preview-content-container'> <a href="/doi/full/10.22541/essoar.170957926.64207292/v1"> <div class='blog-card__preview-content'> Arctic clouds play a key role in Arctic climate variability and change; however, contemporary climate models struggle to simulate cloud properties accurately. Model-simulated cloud properties are determined by the physical parameterizations and their interactions within the model configuration. Quantifying effects of individual parameterization changes on model-simulated clouds informs efforts to improve cloud properties in models and provides insights on climate system behavior. This study quantities the influence of individual parameterization schemes on Arctic low cloud properties within the Hadley Centre Global Environmental Model 3 atmospheric model using a suite of experiments where individual parameterization packages are changed one-at-a-time between two configurations: GA6 and GA7.1. The results indicate that individual parameterization changes explain most of the cloud property differences, whereas multiple parameterizations, including non-cloud schemes, contribute to cloud radiative effect differences. The influence of a parameterization change on cloud properties is found to vary by meteorological regime. We employ a three-term decomposition to quantify contributions from (1) regime independent, (2) regime dependent, and (3) the regime frequency of occurrence changes. Decomposition results indicate that each term contributes differently to each cloud property change and that non-cloud parameterization changes make a substantial contribution to the LW and SW cloud radiative effects by modifying clear-sky fluxes differently across regimes. The analysis provides insights on the role of non-cloud parameterizations for setting cloud radiative effects, a model pathway for cloud-atmosphere circulation interactions, and raises questions on the most useful observational approaches for improving models. </div> </a> </div> </div> </div> <div class="blog-card"> <div class="blog-card__container"> <div class='blog-card__top-row'> </div> <div class='blog-card__heading-container '> <a href="/doi/full/10.22541/essoar.171033218.82007534/v1"> <div class="blog-card__title"> Characterizing Wet Season Precipitation in the Central Amazon Using a Mesoscale Conve... </div> </a> </div> <div class="blog-card__author-container"> <div class="blog-card__author-information"> <div class="blog-card__images-container"> <div class="blog-card__first-avatar"> <img alt="Sheng-Lun Tai" width="24" height="24" class="user-profile-pic" src="data:image/jpg;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAMAAABEpIrGAAAABGdBTUEAALGP C/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3Cc ulE8AAABI1BMVEWiiH6ih32iiH2hh32iiH+kioGki4GiiX+jioCjiYCehHmW eW6Vd2ueg3mYfHGVd2yWeG2afnOjiX+Ye3CghXvAr6jKvLbCsaq9q6THuLLD s6zEtK7FtK7DsqzJurS4pJycgHaXem+3o5z///+/raaMa1/7+vnl3tyUd2uf hHmznpaul479/fynjoWnj4aljILLvbeqkomxm5Pc0s6BXlCRc2eSdGiObmK/ raecgXadgXefhHqdgnemjYO5pZ7Yzsqtlo2VeG3Es63Nv7n6+PjQwr2cgXeu mI/7+vqxnJSkioDIubO4pZ2TdGmFY1a/rqfFta+mjoSZfXL08fCnj4Xu6ui3 o5uVeGzaz8vGt7Gwm5Khhnyeg3iqk4rFta6hh34AAACztoomAAAAAWJLR0Rg xbd8EAAAAAd0SU1FB+gLFRAXGCwdGkMAAAFJSURBVDgR3cGNXtJQHAbg9/CO s6OTdsZECpCaf01FDbVUKqm28iPNyu+vkfd/F8UPcRBegc+DJ0fl8I/qwf84 AsPo5HXeJY3uGSOG0Ix7E17B4Jlvu/wAJDIshpOlqTK8wvMXlWqtOl1/+col +kgTzUjX7Nxr6Zlf0CTu0VmESCNYWpaVN43mqqw2G2vjIPpognV5+44bZSlt FrZa0tp6/wHEAzofKTIb+n64XWxHNalFbZfIkCb6JCKfv1hQx4kksSYxiCbE 128iO3FRx4kkVlMhQ2I3DGK7ty/fg3acSGI1FTI8iA7lx1Hz5y/5bY/jRBKr qZChOZmR07OA53Jx0rYVqVhNhQxpLsvSdXXpanst11ZTYQDpWqdaP7zxboG0 86eTOsQQ8iC1vh8UQSL1UvAOw0hXa21AgG7eJUawBwC78IicUniq/gJEPyat 1fMjEgAAACV0RVh0ZGF0ZTpjcmVhdGUAMjAyNC0xMS0yMVQxNjoyMzowOSsw MDowMIPFNgAAAAAldEVYdGRhdGU6bW9kaWZ5ADIwMjQtMTEtMjFUMTY6MjM6 MDkrMDA6MDDymI68AAAAIHRFWHRzb2Z0d2FyZQBodHRwczovL2ltYWdlbWFn aWNrLm9yZ7zPHZ0AAAAYdEVYdFRodW1iOjpEb2N1bWVudDo6UGFnZXMAMaf/ uy8AAAAYdEVYdFRodW1iOjpJbWFnZTo6SGVpZ2h0ADYwMHrevbUAAAAXdEVY dFRodW1iOjpJbWFnZTo6V2lkdGgANjAw6S/t6AAAABl0RVh0VGh1bWI6Ok1p bWV0eXBlAGltYWdlL3BuZz+yVk4AAAAXdEVYdFRodW1iOjpNVGltZQAxNzMy MjA2MTg51ADbpgAAABN0RVh0VGh1bWI6OlNpemUAMTc0NDBCQnL+ZcQAAAA9 dEVYdFRodW1iOjpVUkkAZmlsZTovL3RtcC9sZXR0ZXJfYXZhdGFycy8yL1NU LzE2Ml8xMzZfMTI2LzYwMC5wbmd8+/y2AAAAAElFTkSuQmCC " /> </div> <div class="blog-card__second-avatar"> <img alt="Zhe Feng" width="24" height="24" class="user-profile-pic" src="https://d197for5662m48.cloudfront.net/images/user/532574/profile_image/thumbnail-ec62503b8f3c8aed8968cb109e893ae3.jpeg" /> </div> </div> <div> <div class="blog-card__authors-text"> <div class="blog-card-author-list" style="width: 100%;"> <a href="/users/534413"><p class="blog-card__owner">Sheng-Lun Tai</p></a> <p class='blog-card__remaining-text'>and 3 more</p> </div> </div> <time datetime="2024-03-13" class="blog-card__date">March 13, 2024</time> </div> </div> </div> <div class='blog-card__preview-content-container'> <a href="/doi/full/10.22541/essoar.171033218.82007534/v1"> <div class='blog-card__preview-content'> To comprehensively characterize convective precipitation in the central Amazon region, we utilize the Python FLEXible object TRacKeR (PyFLEXTRKR) to track mesoscale convective systems (MCSs) observed through satellite measurements and simulated by the Weather Research and Forecasting (WRF) model at convection-permitting resolution. This study spans a two-month period during the wet seasons of 2014 and 2015. We observe a strong correlation between MCS track density and accumulated precipitation in the Amazon basin. Key factors contributing to precipitation, such as MCS properties (number, size, rainfall intensity, and movement), are thoroughly examined. Our analysis reveals that while the overall model produces fewer MCSs with smaller mean sizes compared to observations, it tends to overpredict total precipitation due to excessive rainfall intensity for heavy rainfall events (≥ 10 mm h-1) and longer traveled distances than observed. These biases in simulated MCS properties vary with the strength of constraints on convective background environment. Moreover, while the wet bias from heavy (convective) rainfall outweighs the dry bias in light (stratiform) rainfall, the latter can be crucial, particularly when MCS cloud cover is significantly underestimated. A relevant case study for April 1, 2014 highlights the influence of environmental conditions on the MCS lifecycle and identifies an unrealistic model representation in convective precipitation features. </div> </a> </div> </div> </div> <div class="blog-card"> <div class="blog-card__container"> <div class='blog-card__top-row'> </div> <div class='blog-card__heading-container '> <a href="/doi/full/10.22541/essoar.170960003.36210210/v1"> <div class="blog-card__title"> An empirical parameterization of the subgrid-scale distribution of water vapor in the... </div> </a> </div> <div class="blog-card__author-container"> <div class="blog-card__author-information"> <div class="blog-card__images-container"> <div class="blog-card__first-avatar"> <img alt="Audran Borella" width="24" height="24" class="user-profile-pic" src="data:image/jpg;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAMAAABEpIrGAAAABGdBTUEAALGP C/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3Cc 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class="blog-card__date">March 05, 2024</time> </div> </div> </div> <div class='blog-card__preview-content-container'> <a href="/doi/full/10.22541/essoar.170960003.36210210/v1"> <div class='blog-card__preview-content'> Temperature and water vapor are known to fluctuate on multiple scales. In this study 27 years of airborne measurements of temperature and relative humidity from IAGOS (In-service Aircraft for a Global Observing System) are used to parameterize the distribution of water vapor in the upper troposphere and lower stratosphere (UTLS). The parameterization is designed to simulate water vapor fluctuations within gridboxes of atmospheric general circulation models (AGCMs) with typical size of a few tens to a few hundreds kilometers. The distributions currently used in such models are often not supported by observations at high altitude. More sophisticated distributions are key to represent ice supersaturation, a physical phenomenon that plays a major role in the formation of natural cirrus and contrail cirrus. Here the observed distributions are fitted with a beta law whose parameters are adjusted from the gridbox mean variables. More specifically the standard deviation and skewness of the distributions are expressed as empirical functions of the average temperature and specific humidity, two typical prognostic variables of AGCMs. Thus, the distribution of water vapor is fully parameterized for a use in these models. The new parameterization simulates the observed distributions with a determination coefficient always greater than 0.917, with a mean value of 0.997. Moreover, the ice supersaturation fraction in a model gridbox is well simulated with a determination coefficient of 0.983. The parameterization is robust to a selection of various geographical subsets of data and to gridbox sizes varying between 25 to 300 km. </div> </a> </div> </div> </div> <div class="blog-card"> <div class="blog-card__container"> <div class='blog-card__top-row'> </div> <div class='blog-card__heading-container '> <a href="/doi/full/10.22541/essoar.171033230.00246941/v1"> <div class="blog-card__title"> Standardized daily high-resolution large-eddy simulations of the Arctic boundary laye... </div> </a> </div> <div class="blog-card__author-container"> <div class="blog-card__author-information"> <div class="blog-card__images-container"> <div class="blog-card__first-avatar"> <img alt="Niklas Schnierstein" width="24" height="24" class="user-profile-pic" src="data:image/jpg;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAMAAABEpIrGAAAABGdBTUEAALGP C/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3Cc ulE8AAABaFBMVEX3wAD3vwD2vwD3wQP3wQT3wAL3wAH3wQX2uwD2uAD2vgD3 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class='blog-card__preview-content'> This study utilizes the wealth of observational data collected during the recent MOSAiC drift experiment to constrain and evaluate 190 daily Large-Eddy Simulations (LES) of Arctic boundary layers and clouds at turbulence-resolving resolutions. A standardized approach is adopted to tightly integrate field measurements into the experimental configuration. Covering the full drift represents a step forward from single-case LES studies, and allows for a robust assessment of model performance against independent data under a broad range of atmospheric conditions. A homogeneously forced Eulerian domain is simulated, initialized with radiosonde and value-added cloud profiles. Prescribed boundary conditions include various measured surface characteristics. Time-constant composite forcing is applied, primarily consisting of subsidence rates sampled from reanalysis data. The simulations run for multiple hours, allowing turbulence and mixed-phase clouds to spin up while still facilitating direct comparison to MOSAiC data. Key aspects such as the vertical thermodynamic structure, cloud properties, and surface energy fluxes are satisfactorily reproduced and maintained. Specifically, the model captures the bimodal distribution of atmospheric states that is typical of Arctic climate. Selected days are investigated more closely to assess the model’s skill in maintaining the observed boundary layer structure. The sensitivity to various aspects of the experimental configuration and model physics is tested. The model input and output are available to the scientific community, supplementing the MOSAiC data archive. The close agreement with observed meteorology justifies the use of LES data for gaining further insight into Arctic processes and their role in Arctic climate change. </div> </a> </div> </div> </div> </div> <div role="navigation" aria-label="Pagination" class="pagination"><a class="previous_page" rel="prev" href="/inst/20904?page=6&tag_filter=Meteorology">← Previous</a> <a aria-label="Page 1" href="/inst/20904?page=1&tag_filter=Meteorology">1</a> <a aria-label="Page 2" href="/inst/20904?page=2&tag_filter=Meteorology">2</a> <a aria-label="Page 3" href="/inst/20904?page=3&tag_filter=Meteorology">3</a> <a aria-label="Page 4" href="/inst/20904?page=4&tag_filter=Meteorology">4</a> <a aria-label="Page 5" href="/inst/20904?page=5&tag_filter=Meteorology">5</a> <a rel="prev" aria-label="Page 6" href="/inst/20904?page=6&tag_filter=Meteorology">6</a> <em class="current" aria-label="Page 7" aria-current="page">7</em> <a rel="next" aria-label="Page 8" href="/inst/20904?page=8&tag_filter=Meteorology">8</a> <a aria-label="Page 9" href="/inst/20904?page=9&tag_filter=Meteorology">9</a> <a aria-label="Page 10" href="/inst/20904?page=10&tag_filter=Meteorology">10</a> <a aria-label="Page 11" href="/inst/20904?page=11&tag_filter=Meteorology">11</a> <span class="gap">…</span> <a aria-label="Page 72" href="/inst/20904?page=72&tag_filter=Meteorology">72</a> <a aria-label="Page 73" href="/inst/20904?page=73&tag_filter=Meteorology">73</a> <a class="next_page" rel="next" href="/inst/20904?page=8&tag_filter=Meteorology">Next →</a></div> </div> </div> </div> </div> </div> <footer class="marketing-footer"> <div class="container"> <div class="row"> <div class="span12"> <div class="footer-logo"> <div class="paid-institution-footer"> <strong>ESS Open Archive </strong> <p>| Powered by <strong><a href="https://www.authorea.com/"> Authorea.com </a></strong></p> </div> <div class= "inst-footer"> <a target="blank" href="https://www.agu.org/"><img alt="instution-link" class="footer-image" src="https://d197for5662m48.cloudfront.net/images/footerimage/17/image/1444bc1906abd91c131276b1777bc07e.png" /></a> <a target="blank" href="https://www.agronomy.org/"><img alt="instution-link" class="footer-image" src="https://d197for5662m48.cloudfront.net/images/footerimage/18/image/cb7906734564497de0a3f31437041a3a.png" /></a> <a target="blank" href="https://www.aslo.org/"><img alt="instution-link" class="footer-image" src="https://d197for5662m48.cloudfront.net/images/footerimage/19/image/2ba7b49d4e9ebfb8d6a63594e4a197bc.png" /></a> <a target="blank" href="https://www.crops.org/"><img alt="instution-link" class="footer-image" src="https://d197for5662m48.cloudfront.net/images/footerimage/20/image/5f09f3ba01ee824640618b4fab647408.png" /></a> <a target="blank" href="https://www.esa.org/"><img alt="instution-link" class="footer-image" src="https://d197for5662m48.cloudfront.net/images/footerimage/21/image/0a84fb71c769d225d2f482e5694749f9.png" /></a> <a target="blank" href="https://www.soils.org/"><img alt="instution-link" class="footer-image" src="https://d197for5662m48.cloudfront.net/images/footerimage/24/image/07d8633dd99ed1c0623537c2f2bd3c3f.png" /></a> </div> </div> <ul class="links"> <li><a href="/"><strong>Home</strong></a></li> <li><a href="/about">About Us</a></li> <li><a href="/advisory-board">Advisory Board</a></li> <li><a href="/editorial-board">Editorial Board</a></li> <li><a href="/submission-guide">Submission Guide</a></li> <li><a href="/faqs">FAQs</a></li> </ul> </div> </div> </div> </footer> </body> </html>