{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,14]],"date-time":"2026-01-14T18:37:25Z","timestamp":1768415845659,"version":"3.49.0"},"reference-count":23,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2021,1,26]],"date-time":"2021-01-26T00:00:00Z","timestamp":1611619200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000104","name":"National Aeronautics and Space Administration","doi-asserted-by":"publisher","award":["JCET Task 141"],"award-info":[{"award-number":["JCET Task 141"]}],"id":[{"id":"10.13039\/100000104","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>A Climate Hyperspectral Infrared Radiance Product (CHIRP) is introduced combining data from the Atmospheric Infrared Sounder (AIRS) on NASA\u2019s EOS-AQUA platform, the Cross-Track Infrared Sounder (CrIS) sounder on NASA\u2019s SNPP platform, and continuing with CRIS sounders on the NOAA\/NASA Joint Polar Satellite Series (JPSS) of polar satellites. The CHIRP product converts the parent instrument\u2019s radiances to a common Spectral Response Function (SRF) and removes inter-satellite biases, providing a consistent inter-satellite radiance record. The CHIRP record starts in September 2002 with AIRS, followed by CrIS SNPP and the JPSS series of CrIS instruments. The CHIRP record should continue until the mid-2040\u2019s as additional JPSS satellites are launched. These sensors, in CHIRP format, provide the climate community with a homogeneous sensor record covering much of the infrared. We give an overview of the conversion of AIRS and CrIS to CHIRP, and define the SRF for common CHIRP format. Considerable attention is paid to removing static bias offsets among these three sensors. The CrIS instrument on NASA\u2019s SNPP satellite is used as the calibration standard. Simultaneous Nadir Overpasses (SNOs) as well as large statistical samplings of radiances from these three satellites are used to derive the instrument bias offsets and estimate the bias offset accuracy, which is ~0.03 K. In addition, possible scene-dependent calibration differences between CHIRP derived from AIRS and CHIRP derived from CrIS on the SNPP platform are presented.<\/jats:p>","DOI":"10.3390\/rs13030418","type":"journal-article","created":{"date-parts":[[2021,1,26]],"date-time":"2021-01-26T08:29:16Z","timestamp":1611649756000},"page":"418","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["A Climate Hyperspectral Infrared Radiance Product (CHIRP) Combining the AIRS and CrIS Satellite Sounding Record"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5999-3519","authenticated-orcid":false,"given":"L. Larrabee","family":"Strow","sequence":"first","affiliation":[{"name":"Physics Department, University of Maryland Baltimore County (UMBC), Baltimore, MD 21250, USA"},{"name":"Joint Center for Earth Systems Technology (JCET), University of Maryland Baltimore County (UMBC), Baltimore, MD 21250, USA"}]},{"given":"Chris","family":"Hepplewhite","sequence":"additional","affiliation":[{"name":"Joint Center for Earth Systems Technology (JCET), University of Maryland Baltimore County (UMBC), Baltimore, MD 21250, USA"}]},{"given":"Howard","family":"Motteler","sequence":"additional","affiliation":[{"name":"Joint Center for Earth Systems Technology (JCET), University of Maryland Baltimore County (UMBC), Baltimore, MD 21250, USA"}]},{"given":"Steven","family":"Buczkowski","sequence":"additional","affiliation":[{"name":"Joint Center for Earth Systems Technology (JCET), University of Maryland Baltimore County (UMBC), Baltimore, MD 21250, USA"}]},{"given":"Sergio","family":"DeSouza-Machado","sequence":"additional","affiliation":[{"name":"Physics Department, University of Maryland Baltimore County (UMBC), Baltimore, MD 21250, USA"},{"name":"Joint Center for Earth Systems Technology (JCET), University of Maryland Baltimore County (UMBC), Baltimore, MD 21250, USA"}]}],"member":"1968","published-online":{"date-parts":[[2021,1,26]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"253","DOI":"10.1109\/TGRS.2002.808356","article-title":"AIRS\/AMSU\/HSB on the Aqua Mission","volume":"41","author":"Aumann","year":"2003","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1002\/2013JD020344","article-title":"Suomi NPP CrIS measurements, sensor data record algorithm, calibration and validation activities, and record data quality","volume":"118","author":"Han","year":"2013","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"347","DOI":"10.1175\/BAMS-D-11-00027.1","article-title":"Hyperspectral Earth Observation from IASI: Five Years of Accomplishments","volume":"93","author":"Hilton","year":"2012","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1519","DOI":"10.1175\/BAMS-D-12-00149.1","article-title":"Achieving Climate Change Absolute Accuracy in Orbit","volume":"94","author":"Wielicki","year":"2013","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1863","DOI":"10.1175\/2007JCLI2061.1","article-title":"Testing Climate Models Using Thermal Infrared Spectra","volume":"21","author":"Leroy","year":"2008","journal-title":"J. Clim."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"841","DOI":"10.1175\/2007JCLI1946.1","article-title":"Climate Signal Detection Times and Constraints on Climate Benchmark Accuracy Requirements","volume":"21","author":"Leroy","year":"2008","journal-title":"J. Clim."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"3979","DOI":"10.1175\/JCLI-D-16-0704.1","article-title":"Spectrally Dependent CLARREO Infrared Spectrometer Calibration Requirement for Climate Change Detection","volume":"30","author":"Liu","year":"2017","journal-title":"J. Clim."},{"key":"ref_8","unstructured":"Wielicki, B., Lukashin, C., Shea, Y., Kopp, G., Pilewskie, P., Smith, P., Thome, K., Limaye, S., Fleming, G., and Ucker, G. (2018, January 9\u201313). CLARREO Pathfinder Mission: Calibrating Climate Observing Systems of the Future. Proceedings of the 15th Conference on Atmospheric Radiation, American Meteorological Society, Vancouver, BC, Canada."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"4619","DOI":"10.5194\/amt-13-4619-2020","article-title":"Establishment of AIRS climate-level radiometric stability using radiance anomaly retrievals of minor gases and sea surface temperature","volume":"13","author":"Strow","year":"2020","journal-title":"Atmos. Meas. Tech."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"537","DOI":"10.1175\/1520-0426(2004)021<0537:PSNOAP>2.0.CO;2","article-title":"Predicting Simultaneous Nadir Overpasses among Polar-Orbiting Meteorological Satellites for the Intersatellite Calibration of Radiometers","volume":"21","author":"Cao","year":"2004","journal-title":"J. Atmos. Ocean. Technol."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"15069","DOI":"10.5194\/acp-17-15069-2017","article-title":"How long do satellites need to overlap? Evaluation of climate data stability from overlapping satellite records","volume":"17","author":"Weatherhead","year":"2017","journal-title":"Atmos. Chem. Phys."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Smith, N., and Barnet, C.D. (2019). Uncertainty Characterization and Propagation in the Community Long-Term Infrared Microwave Combined Atmospheric Product System (CLIMCAPS). Remote Sens., 11.","DOI":"10.3390\/rs11101227"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1793","DOI":"10.1109\/TGRS.2018.2869170","article-title":"AIRS Deconvolution and the Translation of AIRS-to-CrIS Radiances With Applications for the IR Climate Record","volume":"57","author":"Motteler","year":"2019","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_14","unstructured":"Taylor, J., Strow, L., Revercomb, H., Tobin, D., Motteler, H., Braun, J., Feltz, M., Garcia, R., Knuteson, R., and Martin, G. (2019). NASA Cross Track Infrared Sounder (CrIS) Level 1B Delta Algorithm Theoretical Basis Document (ATBD), The National Aeronautics and Space Administration."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"274","DOI":"10.1109\/TGRS.2002.808245","article-title":"Prelaunch spectral calibration of the atmospheric infrared sounder (AIRS)","volume":"41","author":"Strow","year":"2003","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Strow, L.L., Hannon, S.E., De-Souza Machado, S., Motteler, H.E., and Tobin, D.C. (2006). Validation of the Atmospheric Infrared Sounder radiative transfer algorithm. J. Geophys. Res. Atmos., 111.","DOI":"10.1029\/2005JD006146"},{"key":"ref_17","unstructured":"Aumann, H., Broberg, S., Manning, E., Pagano, T., Sutin, B., and Strow, L. (2020). AIRS Level 1C Algorithm Theoretical Basis Document, Version 6.7, Jet Propulsion Laboratory, California Institute of Technology."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1109\/TGRS.2002.808244","article-title":"An overview of the AIRS radiative transfer model","volume":"41","author":"Strow","year":"2003","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"10114","DOI":"10.1364\/AO.54.010114","article-title":"Effect of self-apodization correction on Cross-track Infrared Sounder radiance noise","volume":"54","author":"Han","year":"2015","journal-title":"Appl. Opt."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Pagano, T.S., Aumann, H.H., Broberg, S.E., Ca\u00f1as, C., Manning, E.M., Overoye, K.O., and Wilson, R.C. (2020). SI-Traceability and Measurement Uncertainty of the Atmospheric Infrared Sounder Version 5 Level 1B Radiances. Remote Sens., 12.","DOI":"10.3390\/rs12081338"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"2024","DOI":"10.1109\/JSTARS.2019.2891701","article-title":"Inter-Comparing SNPP and NOAA-20 CrIS Toward Measurement Consistency and Climate Data Records","volume":"12","author":"Wang","year":"2018","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_22","first-page":"91","article-title":"Comparing Two Independent Groups Via Multiple Quantiles","volume":"44","author":"Wilcox","year":"1995","journal-title":"J. R. Stat. Soc. Ser. D"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"10589","DOI":"10.1002\/jgrd.50809","article-title":"Suomi-NPP CrIS radiometric calibration uncertainty","volume":"118","author":"Tobin","year":"2013","journal-title":"J. Geophys. Res. Atmos."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/3\/418\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T05:15:25Z","timestamp":1760159725000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/3\/418"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1,26]]},"references-count":23,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2021,2]]}},"alternative-id":["rs13030418"],"URL":"https:\/\/doi.org\/10.3390\/rs13030418","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,1,26]]}}}