{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T05:50:53Z","timestamp":1772257853651,"version":"3.50.1"},"reference-count":58,"publisher":"Copernicus GmbH","issue":"7","license":[{"start":{"date-parts":[[2020,7,16]],"date-time":"2020-07-16T00:00:00Z","timestamp":1594857600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000106","name":"Office of Integrative Activities","doi-asserted-by":"publisher","award":["1539070"],"award-info":[{"award-number":["1539070"]}],"id":[{"id":"10.13039\/100000106","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Atmos. Meas. Tech."],"abstract":"<jats:p>Abstract. It is widely accepted that the atmospheric boundary layer is drastically under-sampled in the vertical dimension. In recent years, the commercial availability of ground-based remote sensors combined with the widespread use of small, weather-sensing uncrewed aerial systems (WxUAS) has opened up many opportunities to fill this measurement gap. In July\u00a02018, the University of Oklahoma (OU) deployed a state-of-the-art WxUAS, dubbed the CopterSonde, and the Collaborative Lower Atmospheric Mobile Profiling System (CLAMPS) in the San Luis Valley in south-central Colorado. Additionally, these systems were deployed to the Kessler Atmospheric and Ecological Field Station (KAEFS) in October 2018. The colocation of these various systems provided ample opportunity to compare and contrast kinematic and thermodynamic observations from different methodologies of boundary layer profiling, namely WxUAS, remote sensing, and the traditional in\u00a0situ radiosonde. In this study, temperature, dew point temperature, wind speed, and wind direction from these platforms are compared statistically with data from the two campaigns. Moreover, we present select instances from the dataset to highlight differences between the measurement techniques. This analysis highlights strengths and weaknesses of planetary boundary layer profiling and helps lay the groundwork for developing highly adaptable systems that integrate remote and in\u00a0situ profiling techniques.<\/jats:p>","DOI":"10.5194\/amt-13-3855-2020","type":"journal-article","created":{"date-parts":[[2020,7,16]],"date-time":"2020-07-16T09:46:14Z","timestamp":1594892774000},"page":"3855-3872","source":"Crossref","is-referenced-by-count":26,"title":["Confronting the boundary layer data gap: evaluating new and existing methodologies of probing the lower atmosphere"],"prefix":"10.5194","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0078-2044","authenticated-orcid":false,"given":"Tyler M.","family":"Bell","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4376-6818","authenticated-orcid":false,"given":"Brian R.","family":"Greene","sequence":"additional","affiliation":[]},{"given":"Petra M.","family":"Klein","sequence":"additional","affiliation":[]},{"given":"Matthew","family":"Carney","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8049-2644","authenticated-orcid":false,"given":"Phillip B.","family":"Chilson","sequence":"additional","affiliation":[]}],"member":"3145","published-online":{"date-parts":[[2020,7,16]]},"reference":[{"key":"ref1","doi-asserted-by":"crossref","unstructured":"Balsley, B.\u00a0B., Lawrence, D.\u00a0A., Woodman, R.\u00a0F., and Fritts, D.\u00a0C.: Fine-Scale\nCharacteristics of Temperature, Wind, and Turbulence in the Lower Atmosphere\n(0\u20131300 m) Over the South Peruvian Coast, Bound.-Lay. Meteorol., 147,\n165\u2013178, 2013.\u2002a","DOI":"10.1007\/s10546-012-9774-x"},{"key":"ref2","doi-asserted-by":"crossref","unstructured":"Barbieri, L., Kral, S.\u00a0T., Bailey, S.\u00a0C., Frazier, A.\u00a0E., Jacob, J.\u00a0D., Reuder,\nJ., Brus, D., Chilson, P.\u00a0B., Crick, C., Detweiler, C., Doddi, A., Elston, J., Foroutan, H., Gonz\u00e1lez-Rocha, J., Greene, B. R., Guzman, M. I., Houston, A. L., Islam, A., Kemppinen, O., Lawrence, D., Pillar-Little, E. A., Ross, S. D., Sama, M. P., Schmale, D. G., Schuyler, T. J., Shankar, A., Smith, S. W., Waugh, S., Dixon, C., Borenstein, S., and de Boer, G.:\nIntercomparison of small unmanned aircraft system (sUAS) measurements for\natmospheric science during the LAPSE-RATE campaign, Sensors, 19, 2179, https:\/\/doi.org\/10.3390\/s19092179, 2019.\u2002a, b","DOI":"10.3390\/s19092179"},{"key":"ref3","doi-asserted-by":"crossref","unstructured":"B\u00e5serud, L., Reuder, J., Jonassen, M. O., Kral, S. T., Paskyabi, M. B., and Lothon, M.: Proof of concept for turbulence measurements with the RPAS SUMO during the BLLAST campaign, Atmos. Meas. Tech., 9, 4901\u20134913, https:\/\/doi.org\/10.5194\/amt-9-4901-2016, 2016.\u2002a","DOI":"10.5194\/amt-9-4901-2016"},{"key":"ref4","unstructured":"Bell, T. and Klein, P.: OU\/NSSL CLAMPS Doppler Lidar Data from\nLAPSE-RATE, Zenodo, https:\/\/doi.org\/10.5281\/zenodo.3780623, 2020.\u2002a"},{"key":"ref5","unstructured":"Bell, T., Klein, P., and Turner, D.: OU\/NSSL CLAMPS AERIoe Temperature\nand Water Vapor Profile Data from LAPSE-RATE,\nZenodo, https:\/\/doi.org\/10.5281\/zenodo.3727224, 2020a.\u2002a"},{"key":"ref6","unstructured":"Bell, T., Klein, P., and Turner, D.: OU\/NSSL CLAMPS Microwave\nRadiometer and Surface Meteorological Data from LAPSE-RATE,\nZenodo, https:\/\/doi.org\/10.5281\/zenodo.3780593, 2020b.\u2002a"},{"key":"ref7","doi-asserted-by":"crossref","unstructured":"Bessagnet, B., Menut, L., Couvidat, F., Meleux, F., Siour, G., and Mailler, S.:\nWhat Can We Expect from Data Assimilation for Air Quality Forecast? Part II:\nAnalysis with a Semi-Real Case,\nJ. Atmos. Ocean. Tech., 36, 1433\u20131448, https:\/\/doi.org\/10.1175\/JTECH-D-18-0117.1,\n2019.\u2002a","DOI":"10.1175\/JTECH-D-18-0117.1"},{"key":"ref8","doi-asserted-by":"crossref","unstructured":"Blumberg, W.\u00a0G., Turner, D.\u00a0D., L\u00f6hnert, U., and Castleberry, S.:\nGround-Based Temperature and Humidity Profiling Using Spectral Infrared and\nMicrowave Observations. Part II: Actual Retrieval Performance in Clear-Sky\nand Cloudy Conditions, J. Appl. Meteorol. Clim., 54,\n2305\u20132319, 2015.\u2002a, b","DOI":"10.1175\/JAMC-D-15-0005.1"},{"key":"ref9","doi-asserted-by":"crossref","unstructured":"Bonin, T., Chilson, P., Zielke, B., and Fedorovich, E.: Observations of the\nEarly Evening Boundary-Layer Transition Using a Small Unmanned Aerial System,\nBound.-Lay. Meteorol., 146, 119\u2013132, https:\/\/doi.org\/10.1007\/s10546-012-9760-3,\n2012.\u2002a","DOI":"10.1007\/s10546-012-9760-3"},{"key":"ref10","doi-asserted-by":"crossref","unstructured":"Browning, K.\u00a0A. and Wexler, R.: The Determination of Kinematic Properties of a\nWind Field Using Doppler Radar, J. Appl. Meteorol., 7, 105\u2013113,\n1968.\u2002a","DOI":"10.1175\/1520-0450(1968)007<0105:TDOKPO>2.0.CO;2"},{"key":"ref11","unstructured":"Chilson, P., Gleason, A., Zielke, B., Nai, F., Yeary, M., Klein, P., and\nShalamunec, W.: SMARTSonde: A small UAS platform to support radar research,\nAMS 34th Conf. Radar Meteor., Boston, 8\u00a0October\u00a02009, MA. Am. Meteorol. Soc., 2009.\u2002a"},{"key":"ref12","doi-asserted-by":"crossref","unstructured":"Chilson, P.\u00a0B., Bell, T.\u00a0M., Brewster, K.\u00a0A., Britto Hupsel\u00a0de Azevedo, G.,\nCarr, F.\u00a0H., Carson, K., Doyle, W., Fiebrich, C.\u00a0A., Greene, B.\u00a0R., Grimsley,\nJ.\u00a0L., Kanneganti, S. T., Martin, J., Moore, A., Palmer, R. D., Pillar-Little, E. A., Salazar-Cerreno, J. L., Segales, A. R., Weber, M. E., Yeary, M., and Droegemeier, K. K.: Moving towards a Network of Autonomous UAS Atmospheric\nProfiling Stations for Observations in the Earth\u2019s Lower Atmosphere: The 3D\nMesonet Concept, Sensors, 19, 2720, https:\/\/doi.org\/10.3390\/s19122720, 2019.\u2002a, b","DOI":"10.3390\/s19122720"},{"key":"ref13","doi-asserted-by":"crossref","unstructured":"de Boer, G., Palo, S., Argrow, B., LoDolce, G., Mack, J., Gao, R.-S., Telg, H., Trussel, C., Fromm, J., Long, C. N., Bland, G., Maslanik, J., Schmid, B., and Hock, T.: The Pilatus unmanned aircraft system for lower atmospheric research, Atmos. Meas. Tech., 9, 1845\u20131857, https:\/\/doi.org\/10.5194\/amt-9-1845-2016, 2016.\u2002a","DOI":"10.5194\/amt-9-1845-2016"},{"key":"ref14","doi-asserted-by":"crossref","unstructured":"de\u00a0Boer, G., Diehl, C., Jacob, J., Houston, A., Smith, S.\u00a0W., Chilson, P., III,\nD. G.\u00a0S., Intrieri, J., Pinto, J., Elston, J., Brus, D., Kemppinen, O.,\nClark, A., Lawrence, D., Bailey, S.\u00a0C., Sama, M.\u00a0P., Frazier, A., Crick, C.,\nNatalie, V., Pillar-Little, E., Klein, P., Waugh, S., Lundquist, J.\u00a0K.,\nBarbieri, L., Kral, S.\u00a0T., Jensen, A.\u00a0A., Dixon, C., Borenstein, S.,\nHesselius, D., Human, K., Hall, P., Argrow, B., Thornberry, T., Wright, R.,\nand Kelly, J.\u00a0T.: Development of community, capabilities and understanding\nthrough unmanned aircraft-based atmospheric research: The LAPSE-RATE\ncampaign, B. Am. Meteorol. Soc., 101, E684\u2013E699, https:\/\/doi.org\/10.1175\/BAMS-D-19-0050.1, 2020.\u2002a","DOI":"10.1175\/BAMS-D-19-0050.1"},{"key":"ref15","doi-asserted-by":"crossref","unstructured":"Geerts, B., Raymond, D.\u00a0J., Grubi\u0161i\u0107, V., Davis, C.\u00a0A., Barth, M.\u00a0C.,\nDetwiler, A., Klein, P.\u00a0M., Lee, W.-C., Markowski, P.\u00a0M., Mullendore, G.\u00a0L.,\nand Moore, J.\u00a0A.: Recommendations for In Situ and Remote Sensing Capabilities\nin Atmospheric Convection and Turbulence, B. Am. Meteorol. Soc., 99, 2463\u20132470, 2018.\u2002a","DOI":"10.1175\/BAMS-D-17-0310.1"},{"key":"ref16","doi-asserted-by":"crossref","unstructured":"Gioli, B., Miglietta, F., Vaccari, F.\u00a0P., Zaldei, A., and De\u00a0Martino, B.: The\nSky Arrow ERA, an innovative airborne platform to monitor mass, momentum\nand energy exchange of ecosystems, Ann. Geophys., 49, https:\/\/doi.org\/10.4401\/ag-3159, 2006.\u2002a","DOI":"10.4401\/ag-3159"},{"key":"ref17","doi-asserted-by":"crossref","unstructured":"Greene, B., Segales, A., Bell, T., Pillar-Little, E., and Chilson, P.:\nEnvironmental and Sensor Integration Influences on Temperature Measurements\nby Rotary-Wing Unmanned Aircraft Systems, Sensors, 19, 1470, https:\/\/doi.org\/10.3390\/s19061470, 2019.\u2002a, b, c, d","DOI":"10.3390\/s19061470"},{"key":"ref18","doi-asserted-by":"crossref","unstructured":"Greene, B. R., Segales, A. R., Waugh, S., Duthoit, S., and Chilson, P. B.: Considerations for temperature sensor placement on rotary-wing unmanned aircraft systems, Atmos. Meas. Tech., 11, 5519\u20135530, https:\/\/doi.org\/10.5194\/amt-11-5519-2018, 2018.\u2002a, b, c","DOI":"10.5194\/amt-11-5519-2018"},{"key":"ref19","unstructured":"Greene, B.\u00a0R., Bell, T.\u00a0M., Pillar-Little, E.\u00a0A., Segales, A.\u00a0R., Britto\nHupsel\u00a0de Azevedo&lt;span id=&quot;page3871&quot;\/&gt;, G., Doyle, W., Tripp, D.\u00a0D., Kanneganti, S.\u00a0T., and\nChilson, P.\u00a0B.: University of Oklahoma CopterSonde Files from LAPSE-RATE,\nZenodo, https:\/\/doi.org\/10.5281\/zenodo.3737087,\n2020.\u2002a"},{"key":"ref20","unstructured":"Hoff, R.\u00a0M. and Hardesty, R.\u00a0M.: Thermodynamic Profiling Technologies Workshop\nReport to the National Science Foundation and the National Weather Service,\nTech. rep., National Center for Atmospheric Research, 2012.\u2002a, b, c"},{"key":"ref21","doi-asserted-by":"crossref","unstructured":"Houston, A.\u00a0L., Argrow, B., Elston, J., Lahowetz, J., Frew, E.\u00a0W., and Kennedy,\nP.\u00a0C.: The Collaborative Colorado\u2013Nebraska Unmanned Aircraft System\nExperiment, B. Am. Meteorol. Soc., 93, 39\u201354,\n2012.\u2002a","DOI":"10.1175\/2011BAMS3073.1"},{"key":"ref22","doi-asserted-by":"crossref","unstructured":"Hubbard, K., Lin, X., Baker, C., and Sun, B.: Air temperature comparison\nbetween the MMTS and the USCRN temperature systems, J. Atmos. Ocean.\nTech., 21, 1590\u20131597, https:\/\/doi.org\/10.1175\/1520-0426(2004)021&amp;lt;1590:ATCBTM&amp;gt;2.0.CO;2,\n2004.\u2002a","DOI":"10.1175\/1520-0426(2004)021<1590:ATCBTM>2.0.CO;2"},{"key":"ref23","doi-asserted-by":"crossref","unstructured":"Hunter, J.\u00a0D.: Matplotlib: A 2D graphics environment, Comput. Sci.\nEng., 9, 90\u201395, https:\/\/doi.org\/10.1109\/MCSE.2007.55, 2007.\u2002a","DOI":"10.1109\/MCSE.2007.55"},{"key":"ref24","doi-asserted-by":"crossref","unstructured":"Knuteson, R.\u00a0O., Revercomb, H.\u00a0E., Best, F.\u00a0A., Ciganovich, N.\u00a0C., Dedecker,\nR.\u00a0G., Dirkx, T.\u00a0P., Ellington, S.\u00a0C., Feltz, W.\u00a0F., Garcia, R.\u00a0K., Howell,\nH.\u00a0B., Smith, W.\u00a0L., Short, J.\u00a0F., and Tobin, D.\u00a0C.: Atmospheric Emitted\nRadiance Interferometer. Part I: Instrument Design, J. Atmos. Ocean. Tech., 21, 1763\u20131776, 2004a.\u2002a","DOI":"10.1175\/JTECH-1662.1"},{"key":"ref25","doi-asserted-by":"crossref","unstructured":"Knuteson, R.\u00a0O., Revercomb, H.\u00a0E., Best, F.\u00a0A., Ciganovich, N.\u00a0C., Dedecker,\nR.\u00a0G., Dirkx, T.\u00a0P., Ellington, S.\u00a0C., Feltz, W.\u00a0F., Garcia, R.\u00a0K., Howell,\nH.\u00a0B., Smith, W.\u00a0L., Short, J.\u00a0F., and Tobin, D.\u00a0C.: Atmospheric Emitted\nRadiance Interferometer. Part II: Instrument Performance, J. Atmos. Ocean. Tech., 21, 1777\u20131789, 2004b.\u2002a","DOI":"10.1175\/JTECH-1663.1"},{"key":"ref26","doi-asserted-by":"crossref","unstructured":"Koch, S.\u00a0E., Fengler, M., Chilson, P.\u00a0B., Elmore, K.\u00a0L., Argrow, B., Andra,\nD.\u00a0L., and Lindley, T.: On the Use of Unmanned Aircraft for Sampling\nMesoscale Phenomena in the Preconvective Boundary Layer, J. Atmos. Ocean. Tech., 35, 2265\u20132288, 2018.\u2002a, b, c, d, e","DOI":"10.1175\/JTECH-D-18-0101.1"},{"key":"ref27","doi-asserted-by":"crossref","unstructured":"Kral, S.\u00a0T., Reuder, J., Vihma, T., Suomi, I., O\u00e2'Connor, E., Kouznetsov,\nR., Wrenger, B., Rautenberg, A., Urbancic, G., Jonassen, M.\u00a0O., B\u00c3serud,\nL., Maronga, B., Mayer, S., Lorenz, T., Holtslag, A. A.\u00a0M., Steeneveld,\nG.-J., Seidl, A., M\u00fcller, M., Lindenberg, C., Langohr, C., Voss, H.,\nBange, J., Hundhausen, M., Hilsheimer, P., and Schygulla, M.: Innovative\nStrategies for Observations in the Arctic Atmospheric Boundary Layer (ISOBAR)\n\u2013 The Hailuoto 2017 Campaign, Atmosphere, 9, 268, https:\/\/doi.org\/10.3390\/atmos9070268,\n2018.\u2002a","DOI":"10.3390\/atmos9070268"},{"key":"ref28","doi-asserted-by":"crossref","unstructured":"Lawrence, D.\u00a0A. and Balsley, B.\u00a0B.: High-Resolution Atmospheric Sensing of\nMultiple Atmospheric Variables Using the DataHawk Small Airborne Measurement\nSystem, J. Atmos. Ocean. Tech., 30, 2352\u20132366, 2013.\u2002a","DOI":"10.1175\/JTECH-D-12-00089.1"},{"key":"ref29","doi-asserted-by":"crossref","unstructured":"Lothon, M., Lohou, F., Pino, D., Couvreux, F., Pardyjak, E. R., Reuder, J., Vil\u00e0-Guerau de Arellano, J., Durand, P., Hartogensis, O., Legain, D., Augustin, P., Gioli, B., Lenschow, D. H., Faloona, I., Yag\u00fce, C., Alexander, D. C., Angevine, W. M., Bargain, E., Barri\u00e9, J., Bazile, E., Bezombes, Y., Blay-Carreras, E., van de Boer, A., Boichard, J. L., Bourdon, A., Butet, A., Campistron, B., de Coster, O., Cuxart, J., Dabas, A., Darbieu, C., Deboudt, K., Delbarre, H., Derrien, S., Flament, P., Fourmentin, M., Garai, A., Gibert, F., Graf, A., Groebner, J., Guichard, F., Jim\u00e9nez, M. A., Jonassen, M., van den Kroonenberg, A., Magliulo, V., Martin, S., Martinez, D., Mastrorillo, L., Moene, A. F., Molinos, F., Moulin, E., Pietersen, H. P., Piguet, B., Pique, E., Rom\u00e1n-Casc\u00f3n, C., Rufin-Soler, C., Sa\u00efd, F., Sastre-Marug\u00e1n, M., Seity, Y., Steeneveld, G. J., Toscano, P., Traull\u00e9, O., Tzanos, D., Wacker, S., Wildmann, N., and Zaldei, A.: The BLLAST field experiment: Boundary-Layer Late Afternoon and Sunset Turbulence, Atmos. Chem. Phys., 14, 10931\u201310960, https:\/\/doi.org\/10.5194\/acp-14-10931-2014, 2014.\u2002a","DOI":"10.5194\/acp-14-10931-2014"},{"key":"ref30","doi-asserted-by":"crossref","unstructured":"Markowski, P.\u00a0M.: An Idealized Numerical Simulation Investigation of the\nEffects of Surface Drag on the Development of Near-Surface Vertical Vorticity\nin Supercell Thunderstorms, J. Atmos. Sci., 73,\n4349\u20134385, https:\/\/doi.org\/10.1175\/JAS-D-16-0150.1, 2016.\u2002a","DOI":"10.1175\/JAS-D-16-0150.1"},{"key":"ref31","doi-asserted-by":"crossref","unstructured":"Markowski, P.\u00a0M. and Bryan, G.\u00a0H.: LES of Laminar Flow in the PBL: A\nPotential Problem for Convective Storm Simulations, Mon. Weather Rev.,\n144, 1841\u20131850, https:\/\/doi.org\/10.1175\/MWR-D-15-0439.1, 2016.\u2002a","DOI":"10.1175\/MWR-D-15-0439.1"},{"key":"ref32","unstructured":"National Academies\u00a0of Sciences, Engineering and Medicine: Thriving on Our Changing\nPlanet: A Decadal Strategy for Earth Observation from Space, The National\nAcademies Press, Washington, DC, 2018.\u2002a"},{"key":"ref33","unstructured":"National Research Council: Observing Weather and Climate from the Ground Up:\nA Nationwide Network of Networks, The National Academies Press, Washington,\nDC, 2009.\u2002a, b"},{"key":"ref34","doi-asserted-by":"crossref","unstructured":"Neumann, P.\u00a0P. and Bartholmai, M.: Real-time wind estimation on a micro\nunmanned aerial vehicle using its inertial measurement unit, Sensor.\nActuat. A-Phys., 235, 300\u2013310, 2015.\u2002a","DOI":"10.1016\/j.sna.2015.09.036"},{"key":"ref35","doi-asserted-by":"crossref","unstructured":"Nowotarski, C.\u00a0J., Markowski, P.\u00a0M., and Richardson, Y.\u00a0P.: The Characteristics\nof Numerically Simulated Supercell Storms Situated over Statically Stable\nBoundary Layers, Mon. Weather Rev., 139, 3139\u20133162,\nhttps:\/\/doi.org\/10.1175\/MWR-D-10-05087.1, 2011.\u2002a","DOI":"10.1175\/MWR-D-10-05087.1"},{"key":"ref36","doi-asserted-by":"crossref","unstructured":"Park, S.-Y., Kim, D.-H., Lee, S.-H., and Lee, H. W.: Variational data assimilation for the optimized ozone initial state and the short-time forecasting, Atmos. Chem. Phys., 16, 3631\u20133649, https:\/\/doi.org\/10.5194\/acp-16-3631-2016, 2016.\u2002a","DOI":"10.5194\/acp-16-3631-2016"},{"key":"ref37","doi-asserted-by":"crossref","unstructured":"P\u00e4schke, E., Leinweber, R., and Lehmann, V.: An assessment of the performance of a 1.5 \u03bcm Doppler lidar for operational vertical wind profiling based on a 1-year trial, Atmos. Meas. Tech., 8, 2251\u20132266, https:\/\/doi.org\/10.5194\/amt-8-2251-2015, 2015.\u2002a, b, c","DOI":"10.5194\/amt-8-2251-2015"},{"key":"ref38","doi-asserted-by":"crossref","unstructured":"Pearson, G., Davies, F., and Collier, C.: An Analysis of the Performance of the\nUFAM Pulsed Doppler Lidar for Observing the Boundary Layer, J. Atmos. Ocean. Tech., 26, 240\u2013250, 2009.\u2002a, b","DOI":"10.1175\/2008JTECHA1128.1"},{"key":"ref39","unstructured":"Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel,\nO., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J.,\nPassos, A., Cournapeau, D., Brucher, M., Perrot, M., and Duchesnay, E.:\nScikit-learn: Machine Learning in Python, J. Mach. Learn.\nRes., 12, 2825\u20132830, 2011.\u2002a"},{"key":"ref40","doi-asserted-by":"crossref","unstructured":"Reuder, J., Brisset, P., Jonassen, M., M\u00fcller, M., and Mayer, S.: The Small\nUnmanned Meteorological Observer SUMO: A new tool for atmospheric boundary\nlayer research, Meteorol. Z., 18, 141\u2013147, 2009.\u2002a","DOI":"10.1127\/0941-2948\/2009\/0363"},{"key":"ref41","doi-asserted-by":"crossref","unstructured":"Reuder, J., Jonassen, M.\u00a0O., and \u00d3lafsson, H.: The Small Unmanned\nMeteorological Observer SUMO: Recent developments and applications of a\nmicro-UAS for atmospheric boundary layer research, Acta Geophys., 60,\n1454\u20131473, 2012.\u2002a","DOI":"10.2478\/s11600-012-0042-8"},{"key":"ref42","doi-asserted-by":"crossref","unstructured":"Rodgers, C.\u00a0D.: Inverse methods for atmospheric sounding: Theory and practice,\nvol.\u00a02 of Series on Atmospheric, Oceanic, and Planetary Physics,\nWorld Scientific, 2000.\u2002a","DOI":"10.1142\/9789812813718"},{"key":"ref43","doi-asserted-by":"crossref","unstructured":"Rose, T&lt;span id=&quot;page3872&quot;\/&gt;., Crewell, S., L\u00f6hnert, U., and Simmer, C.: A network suitable\nmicrowave radiometer for operational monitoring of the cloudy atmosphere,\nAtmos. Res., 75, 183\u2013200, https:\/\/doi.org\/10.1016\/j.atmosres.2004.12.005, 2005.\u2002a","DOI":"10.1016\/j.atmosres.2004.12.005"},{"key":"ref44","doi-asserted-by":"crossref","unstructured":"Sa\u00efd, F., Corsmeier, U., Kalthoff, N., Kottmeier, C., Lothon, M., Wieser,\nA., Hofherr, T., and Perros, P.: ESCOMPTE experiment: intercomparison of\nfour aircraft dynamical, thermodynamical, radiation and chemical\nmeasurements, Atmos. Res., 74, 217\u2013252,\nhttps:\/\/doi.org\/10.1016\/j.atmosres.2004.06.012, 2005.\u2002a","DOI":"10.1016\/j.atmosres.2004.06.012"},{"key":"ref45","doi-asserted-by":"crossref","unstructured":"Segales, A. R., Greene, B. R., Bell, T. M., Doyle, W., Martin, J. J., Pillar-Little, E. A., and Chilson, P. B.: The CopterSonde: an insight into the development of a smart unmanned aircraft system for atmospheric boundary layer research, Atmos. Meas. Tech., 13, 2833\u20132848, https:\/\/doi.org\/10.5194\/amt-13-2833-2020, 2020.\u2002a","DOI":"10.5194\/amt-13-2833-2020"},{"key":"ref46","unstructured":"Tanner, B.\u00a0D., Swiatek, E., and Maughan, C.: Field comparisons of naturally\nventilated and aspirated radiation shields for weather station air\ntemperature measurements, in: Conference on Agricultural and Forest\nMeteorology, 22, 227\u2013230, 1996.\u2002a"},{"key":"ref47","unstructured":"Turner, D.\u00a0D. and Blumberg, W.\u00a0G.: Improvements to the AERIoe Thermodynamic\nProfile Retrieval Algorithm, IEEE Journal of Selected Topics in Applied Earth\nObservations and Remote Sensing, 1\u201316, 2018.\u2002a, b, c"},{"key":"ref48","doi-asserted-by":"crossref","unstructured":"Turner, D.\u00a0D. and L\u00f6hnert, U.: Information Content and Uncertainties in\nThermodynamic Profiles and Liquid Cloud Properties Retrieved from the\nGround-Based Atmospheric Emitted Radiance Interferometer (AERI), J. Appl. Meteorol. Clim., 53, 752\u2013771, 2014.\u2002a, b, c","DOI":"10.1175\/JAMC-D-13-0126.1"},{"key":"ref49","doi-asserted-by":"crossref","unstructured":"van\u00a0den Kroonenberg, A.\u00a0C., Martin, S., Beyrich, F., and Bange, J.:\nSpatially-averaged temperature structure parameter over a heterogeneous\nsurface measured by an unmanned aerial vehicle, Bound.-Lay. Meteorol., 142,\n55\u201377, https:\/\/doi.org\/10.1007\/s10546-011-9662-9, 2012.\u2002a","DOI":"10.1007\/s10546-011-9662-9"},{"key":"ref50","doi-asserted-by":"crossref","unstructured":"van der Walt, S., Colbert, S.\u00a0C., and Varoquaux, G.: The NumPy Array: A\nStructure for Efficient Numerical Computation, Comput. Sci.\nEng., 13, 22\u201330, https:\/\/doi.org\/10.1109\/MCSE.2011.37, 2011.\u2002a","DOI":"10.1109\/MCSE.2011.37"},{"key":"ref51","unstructured":"Virtanen, P., Gommers, R., Oliphant, T.\u00a0E., Haberland, M., Reddy, T.,\nCournapeau, D., Burovski, E., Peterson, P., Weckesser, W., Bright,\nJ., van der Walt, S.\u00a0J., Brett, M., Wilson, J., Jarrod Millman, K.,\nMayorov, N., Nelson, A. R.\u00a0J., Jones, E., Kern, R., Larson, E.,\nCarey, C., Polat, \u0130., Feng, Y., Moore, E.\u00a0W., VanderPlas, J.,\nLaxalde, D., Perktold, J., Cimrman, R., Henriksen, I., Quintero,\nE.\u00a0A., Harris, C.\u00a0R., Archibald, A.\u00a0M., Ribeiro, A.\u00a0H., Pedregosa,\nF., and van Mulbregt, P.: SciPy 1.0\u2013Fundamental\nAlgorithms for Scientific Computing in Python, arXiv [preprint],\narXiv:1907.10121, 23 July 2019.\n\u2002a"},{"key":"ref52","unstructured":"V\u00f6mel, H., Argrow, B.\u00a0M., Axisa, D., Chilson, P., Ellis, S., Fladeland, M.,\nFrew, E.\u00a0W., Jacob, J., Lord, M., Moore, J., Oncley, S., Roberts, G.,\nSchoenung, S., and Wolff, C.: The NCAR \/ EOL Community Workshop on Unmanned\nAircraft Systems for Atmospheric Research, UCAR\/NCAR Earth Observing\nLaboratory, 2018.\u2002a"},{"key":"ref53","doi-asserted-by":"crossref","unstructured":"Wagner, T.\u00a0J., Klein, P.\u00a0M., and Turner, D.\u00a0D.: A New Generation of\nGround-Based Mobile Platforms for Active and Passive Profiling of the\nBoundary Layer, B. Am. Meteorol. Soc., 100,\n137\u2013153, 2019.\u2002a","DOI":"10.1175\/BAMS-D-17-0165.1"},{"key":"ref54","unstructured":"Waugh, S.: National Severe Storms Laboratory Mobile Soundings during\nLapse-Rate (CLAMPS trailer), Zenodo, https:\/\/doi.org\/10.5281\/zenodo.3720444,\n2020.\u2002a"},{"key":"ref55","doi-asserted-by":"crossref","unstructured":"Wildmann, N., Hofs\u00e4\u00df, M., Weimer, F., Joos, A., and Bange, J.: MASC-a\nsmall remotely piloted aircraft (RPA) for wind energy research, Adv. Sci.\nRes., 11, 55, https:\/\/doi.org\/10.5194\/asr-11-55-2014, 2014.\u2002a","DOI":"10.5194\/asr-11-55-2014"},{"key":"ref56","doi-asserted-by":"crossref","unstructured":"Wildmann, N., Rau, G.\u00a0A., and Bange, J.: Observations of the Early Morning\nBoundary-Layer Transition with Small Remotely-Piloted Aircraft,\nBound.-Lay. Meteorol., 157, 345\u2013373, 2015.\u2002a","DOI":"10.1007\/s10546-015-0059-z"},{"key":"ref57","doi-asserted-by":"crossref","unstructured":"World Health Organization: Ambient air pollution: a global assessment of\nexposure and burden of disease, 2016.\u2002a","DOI":"10.17159\/2410-972X\/2016\/v26n2a4"},{"key":"ref58","doi-asserted-by":"crossref","unstructured":"Zhou, B. and Chow, F.\u00a0K.: Turbulence Modeling for the Stable Atmospheric\nBoundary Layer and Implications for Wind Energy, Flow Turbul.\nCombust., 88, 255\u2013277, https:\/\/doi.org\/10.1007\/s10494-011-9359-7, 2012.\u2002a","DOI":"10.1007\/s10494-011-9359-7"}],"container-title":["Atmospheric Measurement Techniques"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/amt.copernicus.org\/articles\/13\/3855\/2020\/amt-13-3855-2020.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,31]],"date-time":"2025-01-31T17:48:56Z","timestamp":1738345736000},"score":1,"resource":{"primary":{"URL":"https:\/\/amt.copernicus.org\/articles\/13\/3855\/2020\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7,16]]},"references-count":58,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2020]]}},"URL":"https:\/\/doi.org\/10.5194\/amt-13-3855-2020","relation":{"has-preprint":[{"id-type":"doi","id":"10.5194\/amt-2019-453","asserted-by":"subject"},{"id-type":"doi","id":"10.5194\/amt-2019-453","asserted-by":"object"}],"has-review":[{"id-type":"doi","id":"10.5194\/amt-2019-453-RC1","asserted-by":"subject"},{"id-type":"doi","id":"10.5194\/amt-2019-453-AC2","asserted-by":"subject"},{"id-type":"doi","id":"10.5194\/amt-2019-453-RC2","asserted-by":"subject"},{"id-type":"doi","id":"10.5194\/amt-2019-453-AC1","asserted-by":"subject"},{"id-type":"doi","id":"10.5194\/amt-2019-453-AC1","asserted-by":"object"},{"id-type":"doi","id":"10.5194\/amt-2019-453-AC2","asserted-by":"object"},{"id-type":"doi","id":"10.5194\/amt-2019-453-RC1","asserted-by":"object"},{"id-type":"doi","id":"10.5194\/amt-2019-453-RC2","asserted-by":"object"}],"is-part-of":[{"id-type":"doi","id":"10.5281\/zenodo.3780593","asserted-by":"subject"},{"id-type":"doi","id":"10.5281\/zenodo.3780623","asserted-by":"subject"},{"id-type":"doi","id":"10.5281\/zenodo.3727224","asserted-by":"subject"},{"id-type":"doi","id":"10.5281\/zenodo.3737087","asserted-by":"subject"},{"id-type":"doi","id":"10.5281\/zenodo.3720444","asserted-by":"subject"}]},"ISSN":["1867-8548"],"issn-type":[{"value":"1867-8548","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,7,16]]}}}