{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T19:54:08Z","timestamp":1773431648193,"version":"3.50.1"},"reference-count":31,"publisher":"MDPI AG","issue":"23","license":[{"start":{"date-parts":[[2022,12,2]],"date-time":"2022-12-02T00:00:00Z","timestamp":1669939200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Key Research and Development Program of China","award":["2021YFB3900400"],"award-info":[{"award-number":["2021YFB3900400"]}]},{"name":"National Key Research and Development Program of China","award":["U2142212"],"award-info":[{"award-number":["U2142212"]}]},{"name":"National Natural Science Foundation of China","award":["2021YFB3900400"],"award-info":[{"award-number":["2021YFB3900400"]}]},{"name":"National Natural Science Foundation of China","award":["U2142212"],"award-info":[{"award-number":["U2142212"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The brightness temperatures and their Jacobians with respect to atmospheric temperature and humidity at the microwave to millimeter wave spectral bands from 23 GHz to 424 GHz are simulated with the ECMWF IFS-137 profiles as inputs to the Advanced Radiative transfer Modeling System (ARMS). The information content of temperature and humidity is then calculated individually through the Shannon entropy which is contributed by a-priori background information and observations. For a typical set of measurement uncertainties, a high information content for atmospheric temperature is mainly obtained from V band near 50\u201370 GHz, whereas that for water vapor comes from G band near 183 GHz and Y1 band near 380 GHz. The channels within the G band have a large temperature information content mainly for lower and middle layers of troposphere and the Y1 band has a relatively large humidity information content for the entire troposphere. A large measurement uncertainty can significantly reduce the information content of each band. Thus, to make a best use of the data from each band, it is important to reduce the instrument calibration noise and increase the accuracy in forward radiative transfer simulation.<\/jats:p>","DOI":"10.3390\/rs14236124","type":"journal-article","created":{"date-parts":[[2022,12,5]],"date-time":"2022-12-05T05:31:32Z","timestamp":1670218292000},"page":"6124","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["A Comparison of Information Content at Microwave to Millimeter Wave Bands for Atmospheric Sounding"],"prefix":"10.3390","volume":"14","author":[{"given":"Xianjun","family":"Xiao","sequence":"first","affiliation":[{"name":"CMA Earth System Modeling and Prediction Centre (CEMC), Beijing 100080, China"},{"name":"State Key Laboratory of Severe Weather, Beijing 100081, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fuzhong","family":"Weng","sequence":"additional","affiliation":[{"name":"CMA Earth System Modeling and Prediction Centre (CEMC), Beijing 100080, China"},{"name":"State Key Laboratory of Severe Weather, Beijing 100081, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,12,2]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"984","DOI":"10.1109\/TGRS.2008.915752","article-title":"Intercalibration between special sensor microwave imager\/sounder and special sensor microwave imager","volume":"46","author":"Yan","year":"2008","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1109\/TGRS.2002.808319","article-title":"Aqua: An Earth-observing satellite mission to examine water and other climate variables","volume":"41","author":"Parkinson","year":"2003","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Saunders, R.W., English, S.J., and Jones, D.C. (1994). AMSU-B: A new tool for atmospheric research. Proceedings Volume 2313, Microwave Instrumentation and Satellite Photogrammetry for Remote Sensing of the Earth, SPIE.","DOI":"10.1117\/12.197338"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1379","DOI":"10.1007\/s00376-020-0010-1","article-title":"Insights into the microwave instruments onboard the Fengyun 3D satellite: Data quality and assimilation in the Met Office NWP system","volume":"38","author":"Carminati","year":"2021","journal-title":"Adv. Atmos. Sci."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1285","DOI":"10.1007\/s00376-020-0207-3","article-title":"Growing operational use of FY-3 data in the ECMWF system","volume":"38","author":"Bormann","year":"2021","journal-title":"Adv. Atmos. Sci."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1265","DOI":"10.1007\/s00376-021-1002-5","article-title":"Preface to the special issue on Fengyun Meteorological Satellites: Data, application and assessment","volume":"38","author":"Zhang","year":"2021","journal-title":"Adv. Atmos. Sci."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"1682","DOI":"10.1007\/s00376-021-1071-5","article-title":"All-sky data assimilation of MWTS-2 and MWHS-2 in the Met Office Global NWP System","volume":"38","author":"Carminati","year":"2021","journal-title":"Adv. Atmos. Sci."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1027","DOI":"10.1007\/s00376-019-8215-x","article-title":"Latest progress of the Chinese Meteorological Satellite Program and core data processing technologies","volume":"36","author":"Zhang","year":"2019","journal-title":"Adv. Atmos. Sci."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"3095","DOI":"10.5194\/amt-9-3095-2016","article-title":"Direct assimilation of Chinese FY-3C microwave temperature sounder-2 radiances in the global GRAPES system","volume":"9","author":"Li","year":"2016","journal-title":"Atmos. Meas. Tech."},{"key":"ref_10","unstructured":"Lu, Q.F., Lawrence, H., Bormann, N., English, S., Lean, K., Atkinson, N., Bell, W., and Carminati, F. (2022, September 01). An Evaluation of FY-3C Satellite Data Quality at ECMWF and the Met Office, European Centre for Medium-Range Weather Forecasts. 2015. Available online: https:\/\/www.ecmwf.int\/sites\/default\/files\/elibrary\/2015\/14692-evaluation-fy-3c-satellite-data-quality-ecmwf-and-met-office.pdf."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1415","DOI":"10.1007\/s00376-021-0326-5","article-title":"Use of microwave radiances from Metop-C and Fengyun-3 C\/D satellites for a northern European limited-area data assimilation system","volume":"38","author":"Lindskog","year":"2021","journal-title":"Adv. Atmos. Sci."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"836","DOI":"10.1007\/s13351-020-9122-x","article-title":"Impact of FY-3D MWRI radiance assimilation in GRAPES 4DVar on forecasts of Typhoon Shanshan","volume":"34","author":"Xiao","year":"2020","journal-title":"J. Meteor. Res."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Maddy, E.S., Bunin, S., Mikles, V.J., Shahroudi, N., Shiotani, B., and Boukabara, S.-A. (2022). Temperature and Moisture Sounding Performance of Current and Prospective Microwave Instruments under All-Sky Conditions. Remote Sens., 14.","DOI":"10.3390\/rs14071624"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1977","DOI":"10.1002\/qj.178","article-title":"Selection of IASI channels for use in numerical weather prediction","volume":"133","author":"Collard","year":"2007","journal-title":"Q. J. R. Meteorol. Soc."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1011","DOI":"10.1256\/0035900021643638","article-title":"Channel selection methods for Infrared Atmospheric Sounding Interferometer radiances","volume":"128","author":"Rabier","year":"2002","journal-title":"Q. J. R. Meteorol. Soc."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"3268","DOI":"10.1002\/qj.2608","article-title":"Information content on temperature and water vapour from a hyper-spectral microwave sensor","volume":"141","author":"Mahfouf","year":"2015","journal-title":"Q. J. R. Meteorol. Soc."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1299","DOI":"10.1256\/qj.05.164","article-title":"Passive microwave radiometer channel selection based on cloud and precipitation information content","volume":"132","author":"Michele","year":"2006","journal-title":"Q. J. R. Meteorol. Soc."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"859","DOI":"10.1109\/JSTARS.2014.2364394","article-title":"Radiometric Information Content for Water Vapor and Temperature Profiling in Clear Skies Between 10 and 200 GHz","volume":"8","author":"Sahoo","year":"2015","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"3107","DOI":"10.1109\/JSTARS.2017.2700259","article-title":"On the Amount of Information Content in Microwave Radiometry for Wet Delay Estimation","volume":"10","author":"Camps","year":"2017","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"2633","DOI":"10.1175\/1520-0469(2003)060<2633:SDAINW>2.0.CO;2","article-title":"Satellite data assimilation in numerical weather prediction models. part I: Forward radiative transfer and Jacobian modeling in cloudy atmospheres","volume":"60","author":"Weng","year":"2003","journal-title":"J. Atmos. Sci."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"3799","DOI":"10.1175\/2007JAS2112.1","article-title":"Advances in radiative transfer modeling in support of satellite data assimilation","volume":"64","author":"Weng","year":"2007","journal-title":"J. Atmos. Sci."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"689","DOI":"10.1016\/S0022-4073(00)00055-8","article-title":"A linearized discrete ordinate radiative transfer model for atmospheric remote-sensing retrieval","volume":"68","author":"Spurr","year":"2001","journal-title":"J. Quant. Spectrosc. Radiat. Transf."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1407","DOI":"10.1002\/qj.1999.49712555615","article-title":"An improved fast radiative transfer model for assimilation of satellite radiance observations","volume":"125","author":"Saunders","year":"1999","journal-title":"Q. J. R. Meteorol. Soc."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"2717","DOI":"10.5194\/gmd-11-2717-2018","article-title":"An update on the RTTOV fast radiative transfer model (currently at version 12)","volume":"11","author":"Saunders","year":"2018","journal-title":"Geosci. Model Dev."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1007\/s00376-019-9170-2","article-title":"Advanced Radiative transfer Modeling System (ARMS): A new-generation satellite observation operator developed for numerical weather prediction and remote sensing applications","volume":"37","author":"Weng","year":"2020","journal-title":"Adv. Atmos. Sci."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"107043","DOI":"10.1016\/j.jqsrt.2020.107043","article-title":"Advanced Radiative transfer Modeling System developed for satellitedata assimilation and remote sensing applications","volume":"251","author":"Yang","year":"2020","journal-title":"J. Quant. Spectrosc. Radiat. Transf."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"4700","DOI":"10.1364\/OE.417153","article-title":"Discrete Ordinate Adding Method (DOAM), a new solver for Advanced Radiative transfer Modeling System (ARMS)","volume":"29","author":"Shi","year":"2021","journal-title":"Opt. Express"},{"key":"ref_28","first-page":"4476","article-title":"Diverse profile datasets from the ECMWF 137-level short-range forecasts","volume":"10","author":"Eresmaa","year":"2014","journal-title":"NWP SAF NWPSAF-ECTR-017"},{"key":"ref_29","unstructured":"Chevallier, F., Di Michele, S., and Mcnally, A.P. (2006). Diverse Profile Datasets from the ECMWF 91-Level Short-Range Forecasts, European Centre for Medium-Range Weather Forecasts."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"D19112","DOI":"10.1029\/2012JD018144","article-title":"Introduction to Suomi national polar-orbiting partnership advanced technology microwave sounder for numerical weather prediction and tropical cyclone applications","volume":"117","author":"Weng","year":"2012","journal-title":"J. Geophys. Res."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"e2019JD031831","DOI":"10.1029\/2019JD031831","article-title":"Performance of radiative transfer models in the microwave region","volume":"125","author":"Moradi","year":"2020","journal-title":"J. Geophys. Res. Atmos."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/23\/6124\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T01:33:12Z","timestamp":1760146392000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/23\/6124"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,2]]},"references-count":31,"journal-issue":{"issue":"23","published-online":{"date-parts":[[2022,12]]}},"alternative-id":["rs14236124"],"URL":"https:\/\/doi.org\/10.3390\/rs14236124","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,12,2]]}}}