uni-leipzig-open-access/json/gmd-16-1359-2023

{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,3,22]],"date-time":"2023-03-22T04:46:20Z","timestamp":1679460380947},"reference-count":54,"publisher":"Copernicus GmbH","issue":"4","license":[{"start":{"date-parts":[[2023,2,27]],"date-time":"2023-02-27T00:00:00Z","timestamp":1677456000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002830","name":"Centre National d\u2019Etudes Spatiales","doi-asserted-by":"publisher","award":["EECLAT"]},{"DOI":"10.13039\/100006132","name":"Office of Science","doi-asserted-by":"publisher","award":["74358"]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Geosci. Model Dev."],"abstract":"<jats:p>Abstract. Atmospheric aerosol has substantial impacts on climate, air\nquality and biogeochemical cycles, and its concentrations are highly\nvariable in space and time. A key variability to evaluate within models that\nsimulate aerosol is the vertical distribution, which influences atmospheric\nheating profiles and aerosol\u2013cloud interactions, to help constrain aerosol\nresidence time and to better represent the magnitude of simulated impacts. To\nensure a consistent comparison between modeled and observed vertical\ndistribution of aerosol, we implemented an aerosol lidar simulator within\nthe Cloud Feedback Model Intercomparison Project (CFMIP) Observation Simulator\nPackage version\u00a02 (COSPv2). We assessed the attenuated total backscattered\n(ATB) signal and the backscatter ratios (SRs) at 532\u2009nm in the U.S.\nDepartment of Energy's Energy Exascale Earth System Model version 1\n(E3SMv1). The simulator performs the computations at the same vertical\nresolution as the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP),\nmaking use of aerosol optics from the E3SMv1 model as inputs and assuming\nthat aerosol is uniformly distributed horizontally within each model\ngrid box. The simulator applies a cloud masking and an aerosol detection\nthreshold to obtain the ATB and SR profiles that would be observed above\nclouds by CALIOP with its aerosol detection capability. Our analysis shows\nthat the aerosol distribution simulated at a seasonal timescale is generally\nin good agreement with observations. Over the Southern Ocean, however, the\nmodel does not produce the SR maximum as observed in the real world.\nComparison between clear-sky and all-sky SRs shows little differences,\nindicating that the cloud screening by potentially incorrect model clouds\ndoes not affect the mean aerosol signal averaged over a season. This\nindicates that the differences between observed and simulated SR values are\ndue not to sampling errors, but to deficiencies in the representation of\naerosol in models. Finally, we highlight the need for future applications of lidar observations at multiple wavelengths to provide insights into aerosol properties and distribution and their representation in Earth system models.\n                    <\/jats:p>","DOI":"10.5194\/gmd-16-1359-2023","type":"journal-article","created":{"date-parts":[[2023,2,27]],"date-time":"2023-02-27T09:55:14Z","timestamp":1677491714000},"page":"1359-1377","source":"Crossref","is-referenced-by-count":0,"title":["Incorporation of aerosol into the COSPv2 satellite lidar simulator for climate model evaluation"],"prefix":"10.5194","volume":"16","author":[{"given":"Marine","family":"Bonazzola","sequence":"first","affiliation":[]},{"given":"H\u00e9l\u00e8ne","family":"Chepfer","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0003-3109-5316","authenticated-orcid":false,"given":"Po-Lun","family":"Ma","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0001-7057-194X","authenticated-orcid":false,"given":"Johannes","family":"Quaas","sequence":"additional","affiliation":[]},{"given":"David M.","family":"Winker","sequence":"additional","affiliation":[]},{"given":"Artem","family":"Feofilov","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0001-9805-6384","authenticated-orcid":false,"given":"Nick","family":"Schutgens","sequence":"additional","affiliation":[]}],"member":"3145","published-online":{"date-parts":[[2023,2,27]]},"reference":[{"key":"ref1","unstructured":"Bonazzola, M.: ATB CALIOP profiles, Zenodo [data set], https:\/\/doi.org\/10.5281\/zenodo.7107232, 2022a."},{"key":"ref2","unstructured":"Bonazzola, M.: CALIOP SR profiles, Zenodo [data set], https:\/\/doi.org\/10.5281\/zenodo.7107162, 2022b."},{"key":"ref3","unstructured":"Bonazzola, M. and Chepfer, H.: COSPv2.0: Adding lidar aerosol simulator, Zenodo [code], https:\/\/doi.org\/10.5281\/zenodo.7418199, 2022."},{"key":"ref4","doi-asserted-by":"crossref","unstructured":"Cesana, G. and Chepfer, H.: How well do climate models simulate cloud\nvertical structure? a comparison between CALIPSO-GOCCP satellite\nobservations and CMIP5 models, Geophys. 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