{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T15:40:10Z","timestamp":1760197210021,"version":"build-2065373602"},"reference-count":39,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2018,7,3]],"date-time":"2018-07-03T00:00:00Z","timestamp":1530576000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["2017M3D8A1092021"],"award-info":[{"award-number":["2017M3D8A1092021"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Cloud detection using downwelling radiation measured by infrared thermometer (IRT) has been utilized for many applications. The current study investigates the effects of disparate IRT specifications, including the dynamic range and sampling rates on the performance of cloud detection, which utilizes the spectral and temporal characteristics of cloudy radiation. To analyze the effects, the detection algorithm that was prepared with and applied to the IRT data with different specifications is compared with reference data, a ceilometer, and micro-pulse lidar (MPL). The comparison results show that the low-altitude clouds are detected with a sufficient accuracy: better than 97% probability of detection (POD). This is due to the much warmer brightness temperature (Tb) of the low clouds compared with the clear sky in the atmospheric window region where the IRT measurement was made. Conversely, the high-altitude cold clouds are hard to detect with the spectral test due to the much-reduced Tb contrast between cloudy and clear sky. Thus, the algorithm performance is largely dependent on the performance of the temporal test. Since the lower measurement noise provides a better estimation of the temporal variability of clear sky Tb with less estimation uncertainty, the IRT data having a better noise performance shows a better POD value by as much as 52.2% compared with the MPL result. However, the improvement is realized only when the dynamic range of IRT covers sufficiently cold Tb, such as \u2212100 \u00b0C.<\/jats:p>","DOI":"10.3390\/rs10071049","type":"journal-article","created":{"date-parts":[[2018,7,3]],"date-time":"2018-07-03T11:12:58Z","timestamp":1530616378000},"page":"1049","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Effects of Dynamic Range and Sampling Rate of an Infrared Thermometer to the Accuracy of the Cloud Detection"],"prefix":"10.3390","volume":"10","author":[{"given":"Hye Young","family":"Won","sequence":"first","affiliation":[{"name":"Department of Atmospheric Science and Engineering, Ewha Womans University, Ewhayeodae-gil 52, Seodaemun-gu, Seoul 03760, Korea"},{"name":"National Institute of Meteorological Sciences, 33, Seohobuk-ro, Seogwipo-si 63568, Jeju-do, Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2044-5336","authenticated-orcid":false,"given":"Myoung Hwan","family":"Ahn","sequence":"additional","affiliation":[{"name":"Department of Atmospheric Science and Engineering, Ewha Womans University, Ewhayeodae-gil 52, Seodaemun-gu, Seoul 03760, Korea"}]}],"member":"1968","published-online":{"date-parts":[[2018,7,3]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"883","DOI":"10.1175\/BAMS-88-6-883","article-title":"Cloudnet\u2014Continuous evaluation of cloud profiles in seven operational models using ground-based observations","volume":"88","author":"Illingworth","year":"2007","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"819","DOI":"10.1002\/2014RG000476","article-title":"A review of the remote sensing of lower tropospheric thermodynamic profiles and its indispensable role for the understanding and the simulation of water and energy cycles","volume":"53","author":"Wulfmeyer","year":"2015","journal-title":"Rev. Geophys."},{"key":"ref_3","unstructured":"Kerber, F., Querel, R.R., Neureiter, B., and Hanuschik, R. (June, January 26). Through thick and thin: Quantitative classification of photometric observing conditions on Paranal. Proceedings of the SPIE (9910), Edinburgh, UK."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Morris, V. (2018). Infrared Thermometer (IRT) Handbook.","DOI":"10.2172\/1417312"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"281","DOI":"10.5194\/amt-9-281-2016","article-title":"Characterization of downwelling radiance measured from a ground-based radiometer using numerical weather prediction model","volume":"9","author":"Ahn","year":"2016","journal-title":"Atmos. Meas. Tech."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"595","DOI":"10.1109\/TGRS.2010.2063033","article-title":"Detection of cirrus clouds using infrared radiometry","volume":"49","author":"Brocard","year":"2011","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"D17202","DOI":"10.1029\/2004JD004582","article-title":"Comparison of two radiation algorithms for surface-based cloud-free sky detection","volume":"109","author":"Sutter","year":"2004","journal-title":"J. Geophys. Res."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"2000","DOI":"10.1109\/TGRS.2005.853716","article-title":"Cloud statistics measured with the infrared cloud imager (ICI)","volume":"43","author":"Thurairajah","year":"2005","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"553","DOI":"10.5194\/amt-8-553-2015","article-title":"A Cloud detection algorithm using the downwelling radiance measured by an infrared pyrometer of the ground-based microwave radiometer","volume":"8","author":"Ahn","year":"2015","journal-title":"Atmos. Meas. Tech."},{"key":"ref_10","unstructured":"Morris, V., Long, C., and Nelson, D. (2016, January 27\u201331). Deployment of an infrared thermometer network at the Atmospheric Radiation Measurement Program Southern Great Plains Climate Research Facility. Proceedings of the 16th Atmospheric Radiation Measurement (ARM) Science Team Meeting, Richland, WA, USA."},{"key":"ref_11","unstructured":"Coulter, R. (2012). Micropulse Lidar (MPL) Handbook."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"339","DOI":"10.1002\/cjg2.1041","article-title":"A feasibility study of cloud base height remote sensing by simulating ground-based thermal infrared brightness temperature measurements","volume":"50","author":"Zhang","year":"2007","journal-title":"Chin. J. Geophys."},{"key":"ref_13","first-page":"D08212","article-title":"Downwelling 10 \u03bcm radiance temperature climatology for the Atmospheric Radiation Measurement Southern Great Plains site","volume":"116","author":"Turner","year":"2011","journal-title":"J. Geophys. Res."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"4377","DOI":"10.5194\/acp-18-4377-2018","article-title":"Determining the infrared radiative effects of Saharan dust: A radiative transfer modelling study based on vertically resolved measurements at Lampedusa","volume":"18","author":"Meloni","year":"2018","journal-title":"Atmos. Chem. Phys."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1201","DOI":"10.1175\/1520-0477(1994)075<1201:TARMPP>2.0.CO;2","article-title":"The Atmospheric Radiation Measurement (ARM) program: Programmtic background and design of the cloud and radiation testbed","volume":"75","author":"Stokes","year":"1994","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1063\/1.1554135","article-title":"The Atmospheric Radiation Measurements program","volume":"56","author":"Ackermann","year":"2003","journal-title":"Phys. Today"},{"key":"ref_17","unstructured":"(2018, March 21). Heitronics. Infrared Radiation Pyrometer KT 19 II. Available online: www.pentronic.se\/media\/53285\/KT19II%20e%20Manual.pdf."},{"key":"ref_18","unstructured":"Wintronics (2018, March 21). Lighting Industry Technote. Available online: http:\/\/www.wintron.com\/Infrared\/Infrared-Tech-Notes."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"2584","DOI":"10.1109\/TGRS.2004.835226","article-title":"Cloud cover comparisons of the MODIS daytime cloud mask with surface instruments at the north slope of Alaska ARM site","volume":"42","author":"Berendes","year":"2004","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"395","DOI":"10.1016\/j.atmosres.2010.01.012","article-title":"Comparison of macroscopic cloud data from ground-based measurements using VIS\/NIR and IR instruments at Lindenberg, Germany","volume":"96","author":"Feister","year":"2010","journal-title":"Atmos. Res."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"2508","DOI":"10.1175\/2010JAMC2442.1","article-title":"Comparison of satellite cloud masks with ceilometer sky conditions in Southern Finland","volume":"49","author":"Joro","year":"2010","journal-title":"J. Appl. Meteo. Climatol."},{"key":"ref_22","unstructured":"Vaisala (2006). Vaisala Ceilometer CL31 User\u2019s Guide, Vaisala Oyj."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1665","DOI":"10.1175\/1520-0450(2001)040<1665:CTAMPR>2.0.CO;2","article-title":"Cloud type and macrophysical property retrieval using multiple remote sensors","volume":"40","author":"Wang","year":"2001","journal-title":"J. Appl. Meteorol."},{"key":"ref_24","unstructured":"Sivaraman, C., and Comstock, J. (2011). Micropulse Lidar Cloud Mask Value-Added Product Technical Report."},{"key":"ref_25","unstructured":"Turner, D.D. (1996, January 4\u20137). Comparison of the micropulse lidar and Belfort laser ceilometer at the Atmospheric Radiation Measurement Southern Great Plains Cloud and Radiation Testbed site. Proceedings of the 6th Atmospheric Radiation Measurement (ARM) Science Team Meeting, San Antonio, TX, USA."},{"key":"ref_26","unstructured":"Kalb, C.P., Dean, A.R., Peppler, R.A., and Sonntag, K.L. (2004, January 22\u201326). Intercomparison of cloud base height at the Atmospheric Radiation Measurement Southern Great Plains Site. Proceedings of the 14th Atmospheric Radiation Measurement (ARM) Science Team Meeting, Albuquerque, NM, USA."},{"key":"ref_27","unstructured":"Morris, V. (2018). Vaisala Ceilometer (VCEIL) Handbook."},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Shukla, K.K., Kumar, K.N., Phanikumar, D.V., Newsom, R.K., Kotamarthi, V.R., Ouarda, T.B.M.J., and Ratnam, M.V. (2016). Identification of the cloud base height over the central Himalayan region: Intercomparison of Ceilometer and Doppler Lidar. Atmos. Meas. Tech. Discuss., under review.","DOI":"10.5194\/amt-2016-162"},{"key":"ref_29","first-page":"D05201","article-title":"Automatic cloud amount detection by surface longwave downward radiation measurement","volume":"109","author":"Philipona","year":"2004","journal-title":"J. Geophys. Res."},{"key":"ref_30","unstructured":"Won, H.Y., and Ahn, M.-H. (2017, January 23\u201328). Introduction to a real-time cloud detection based on the ground-based infrared thermometer and microwave radiometer at ARM SGP site. Proceedings of the 19th EGU General Assembly\/EGU2017, Vienna, Austria."},{"key":"ref_31","unstructured":"Berk, A., Anderson, G.P., Acharya, P.K., and Shettle, E.P. (2011). MODTRAN\u00ae 5.2.2 User\u2019s Manual, Spectral Sciences, INC."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"2649","DOI":"10.1029\/2000GL011743","article-title":"The clear-sky index to separate clear-sky from cloudy-sky situations in climate research","volume":"27","author":"Marty","year":"2000","journal-title":"Geophys. Res. Lett."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"1557","DOI":"10.1175\/JTECH-D-15-0258.1","article-title":"Error characteristics of ceilometer-based observations of cloud amount","volume":"33","author":"Wagner","year":"2016","journal-title":"J. Atmos. Ocean. Technol."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"853861","DOI":"10.1155\/2015\/853861","article-title":"Comparison of cloud base height derived from a ground-based infrared cloud measurement and two ceilometers","volume":"2015","author":"Liu","year":"2015","journal-title":"Adv. Meteorol."},{"key":"ref_35","unstructured":"G\u00f6rsdorf, U., Mattis, I., Pittke, G., Bravo-Aranda, J.A., Brettle, M., Cermak, J., Drouin, M.-A., Gei\u03b2, A., Haefele, A., and Hervo, M. (2016, January 27\u201330). The ceilometer inter-comparison campaign CeiLinEx2015\u2014Cloud detection and cloud base height. Proceedings of the Technical Conference on Meteorological and Environmental Instruments and Methods of Observation (TECO), Madrid, Spain."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1016\/j.atmosres.2017.10.010","article-title":"Characteristics of cloud occurrence using ceilometer measurements and its relationship to precipitation over Seoul","volume":"201","author":"Lee","year":"2018","journal-title":"Atmos. Res."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"2757","DOI":"10.5194\/amt-7-2757-2014","article-title":"Comparing the cloud vertical structure derived from several methods based on radiosonde profiles and ground-based remote sensing measurements","volume":"7","author":"Long","year":"2014","journal-title":"Atmos. Meas. Tech."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"819","DOI":"10.1080\/10962247.2016.1158214","article-title":"The FireWork air quality forecast system with near-real-time biomass burning emissions: Recent developments and evaluation of performance for the 2015 North American wildfire season","volume":"66","author":"Pavlovic","year":"2016","journal-title":"J. Air Waste Manag. Assoc."},{"key":"ref_39","unstructured":"Riihimaki, L. Personal communication."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/7\/1049\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T15:11:09Z","timestamp":1760195469000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/7\/1049"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,7,3]]},"references-count":39,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2018,7]]}},"alternative-id":["rs10071049"],"URL":"https:\/\/doi.org\/10.3390\/rs10071049","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2018,7,3]]}}}