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{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"institution":[{"name":"Authorea, Inc."}],"indexed":{"date-parts":[[2023,4,19]],"date-time":"2023-04-19T06:07:30Z","timestamp":1681884450350},"posted":{"date-parts":[[2023,4,18]]},"group-title":"Preprints","reference-count":0,"publisher":"Authorea, Inc.","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"accepted":{"date-parts":[[2023,4,18]]},"abstract":"<jats:p id=\"p1\">Accurately identifying liquid water layers in mixed-phase clouds is\ncrucial for estimating cloud radiative effects. Lidar-based retrievals\nare limited in optically thick or multilayer clouds, leading to positive\nbiases in simulated shortwave radiative fluxes. At the same time,\ngeneral circulation models also tend to overestimate the downwelling\nshortwave radiation at the surface especially in the Southern Ocean\nregions. To reduce this SW radiation bias in models, we first need\nbetter observational-based retrievals for liquid detection which can\nlater be used for model validation. To address this, a\nmachine-learning-based liquid-layer detection method called VOODOO was\nemployed in a proof-of-concept study using a single column radiative\ntransfer model to compare shortwave cloud radiative effects of\nliquid-containing clouds detected by Cloudnet and VOODOO to ground-based\nand satellite observations. Results showed a reduction in shortwave\nradiation bias, indicating that liquid-layer detection with\nmachine-learning retrievals can improve radiative transfer simulations.<\/jats:p>","DOI":"10.22541\/essoar.168182347.76241143\/v1","type":"posted-content","created":{"date-parts":[[2023,4,18]],"date-time":"2023-04-18T13:11:36Z","timestamp":1681823496000},"source":"Crossref","is-referenced-by-count":0,"title":["Improved cloud phase retrievals based on remote-sensing observations have the potential to decrease the Southern Ocean shortwave cloud radiation bias"],"prefix":"10.22541","author":[{"ORCID":"http:\/\/orcid.org\/0000-0001-8428-6445","authenticated-orcid":true,"given":"Willi","family":"Schimmel","sequence":"first","affiliation":[{"name":"Leibniz Institute for Tropospheric Research (TROPOS)"}]},{"ORCID":"http:\/\/orcid.org\/0000-0003-0495-8403","authenticated-orcid":true,"given":"Carola Barrientos","family":"Velasco","sequence":"additional","affiliation":[{"name":"Leibniz Institute for Tropospheric Research (TROPOS)"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-4818-5011","authenticated-orcid":true,"given":"Jonas","family":"Witthuhn","sequence":"additional","affiliation":[{"name":"Leipzig Institute for Meteorology (LIM), University of Leipzig"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-7771-033X","authenticated-orcid":true,"given":"Martin","family":"Radenz","sequence":"additional","affiliation":[{"name":"Leibniz Institute for Tropospheric Research"}]},{"given":"Boris Barja","family":"Gonz\u00e1lez","sequence":"additional","affiliation":[{"name":"Atmospheric Research Laboratory, University of Magallanes"}]},{"ORCID":"http:\/\/orcid.org\/0000-0001-6699-7040","authenticated-orcid":true,"given":"Heike","family":"Kalesse-Los","sequence":"additional","affiliation":[{"name":"University of Leipzig"}]}],"member":"9829","container-title":[],"original-title":[],"deposited":{"date-parts":[[2023,4,18]],"date-time":"2023-04-18T13:11:40Z","timestamp":1681823500000},"score":1,"resource":{"primary":{"URL":"https:\/\/essopenarchive.org\/users\/605670\/articles\/638376-improved-cloud-phase-retrievals-based-on-remote-sensing-observations-have-the-potential-to-decrease-the-southern-ocean-shortwave-cloud-radiation-bias?commit=0e1babf0943ce744bdcb425b0f819df2b31044a7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4,18]]},"references-count":0,"URL":"http:\/\/dx.doi.org\/10.22541\/essoar.168182347.76241143\/v1","relation":{},"published":{"date-parts":[[2023,4,18]]},"subtype":"preprint"}} |