We are working to migrate this publications database, and the current listing does not reflect the most recent publications available. Thank you for your patience, and please reach out to library@ssec.wisc.edu with any questions.


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Results: Found 8662 records (displaying records 1376 through 1400)

1376. DeSlover, Daniel H.; Turner, David D. and Knuteson, Robert O.. Comparison of cirrus cloud optical properties from ground-, aircraft-, and satellite-based measurements. Bellingham, WA, SPIE-The International Society for Optical Engineering, 2003, pp.567-573. Reprint # 4682. 

1377. DeSlover, Daniel H.; Turner, David D.; Whiteman, David N. and Smith, William L.. Ground-based measurement of cirrus cloud optical properties as validation of air-craft and satellite-based cloud studies. Bellingham, WA, SPIE-The International Society for Optical Engineering, 2003, pp.205-211. Reprint # 3464. 

1378. DeSlover, Daniel H.; Turner, David D.; Whiteman, David N. and Smith, William L.. Ground- and aircraft-based cirrus cloud measurements using lidar and high spectral resolution FTS during the AFWEX 2000 field campaign. Bellingham, WA, SPIE-The International Society for Optical Engineering, 2002, pp.1-8. Reprint # 3466. 

1379. DeSlover, Daniel H.; Weisz, Elisabeth; Taylor, Joseph K.; Holz, Robert E.; Revercomb, Henry E.; Tobin, David C.; Knuteson, Robert O. and Smith, William L. Sr.. S-HIS dual regression retrieval analysis for the 2012 and 2013 HS3 campaigns relative to AVAPS and CPL measurements. Bellingham, WA, SPIE-The International Society for Optical Engineering, 2014, abstract 9259-8. 

1380. DeSlover, Daniel; Holz, Robert; Turner, David and Revercomb, Henry. Aircraft S-HIS observations during MPACE. Washington, DC, US Department of Energy, Office of Energy Research, Office of Health and Environmental Research, Environmental Sciences Division, 2006, abstract. 

1381. DeSlover, Daniel; Knuteson, R.; Tobin, D. and Revercomb, H.. Using high spectral resolution infrared satellite measurements to monitor climate trends. Boston, MA, American Meteorological Society, 2016, Abstract 614. 

1382. DeSlover, Daniel; Knuteson, R.; Tobin, D. and Revercomb, H.. Detecting climate trends using AIRS, IASI and CrIS high spectral resolution brightness temperature spectra. Boston, MA, American Meteorological Society, 2017, Abstract 42. 

1383. DeSlover, Daniel; Nasiri, Shaima; Knuteson, Robert O. and Revercomb, Hank E.. Analysis of sub-saharan surface emission from the scanning high-resolution infrared sounder during SAFARI 2000. Washington, DC, Optical Society of America, 2001, Abstract FMD7. 

1384. DeSlover, Daniel; Revercomb, Henry; Taylor, Joe; Best, Fred; Tobin, David; Smith, William L. and Weisz, Elisabeth. S-HIS dual regression retrieval analysis related to the HS3 campaign. Washington, DC, Optical Society of America, 2015, Abstract JM3A.2. 

1385. DeSlover, Daniel; Tobin, David; Revercomb, Henry; Tayor, Joe; Knuteson, Robert and Borg, Lori. The Cross-track Infrared Sounder (CrIS) on Suomi NPP: Quality assurance study. Boston, MA, American Meteorological Society, 2013, Paper 299. Reprint # 8076. 

1386. Di Di, Jun Li, Zhenglong Li, Jing Zheng, Xinya Gong. Enhancing Clear Radiance Generation for Geostationary Hyperspectral Infrared Sounder Using High Temporal Resolution Information. Volume: 51, Issue: 2, e2023GL107194. 
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1387. Di Girolamo, Larry; Ackerman, Steve and Clothiaux, Eugene. A comparison of the MODIS and MISR cloud masks as applied to global AVHRR LAC data. Boston, MA, American Meteorological Society, 1998, pp.555-556. Reprint # 2860. 

1388. Di Michele, Sabatinoo; Ahlgrimm, Maike; Forbes, Richard; Kulie, Mark; Bennartz, Ralf; Janiskova, Marta and Bauer, Peter. Interpreting an evaluation of the ECMWF global model with CloudSat observations: Ambiguities due to radar reflectivity forward operator uncertaintiesQuarterly Journal of the Royal Meteorological Society, Volume: 138, Issue: 669, 2012, pp.2047-2065. Reprint # 6944. 

1389. Di, D.; Li, Jun; Han, W.; Bai, W.; Wu, C. and Menzel, W.P.. Enhancing the fast radiative transfer model for FengYun-4 GIIRS by using local training profilesJournal of Geophysical Research-Atmospheres, Volume: 123, Issue: 22, 2018, pp.12,583-12,596. Reprint # 8314. 
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1390. Di, Di; Ai, Yufei; Li, Jun; Shi, Wenjing and Lu, Naimeng. Geostationary satellite-based 6.7 micron band best water vapor information layer analysis over the Tibetan PlateauJournal of Geophysical Research-Atmospheres, Volume: 121, Issue: 9, 2016. Reprint # 7602. 

1391. Di, Di; Li, Jun; Han, Wei and Yin, Ruoying. Geostationary Hyperspectral Infrared Sounder channel selection for capturing fast-changing atmospheric informationIEEE Transactions on Geoscience and Remote Sensing, 2021. Reprint # 8755. 
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1392. Di, Di; Li, Jun; Li, Zhenglong; Li, Jinlong; Schmit, Timothy J. and Menzel, W. Paul. Can current hyperspectral infrared sounders capture the small scale atmospheric water vapor spatial variations?Geophysical Research Letters, Volume: 48, Issue: 21, 2021. Reprint # 8752. 
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1393. Di, Di; Li, Jun; Xue, Yunheng; Min, Min; Li, Bo and Li, Zhenglong. Consistency of Tropospheric Water Vapor between Reanalyses and Himawari-8/AHI Measurements over East AsiaAdvances in Atmospheric Sciences, 2023, pp.1-20. Reprint #8970. 
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1394. Di, Di; Liu, Yue; Li, Jun; Zhou, Ronglian; Li, Zhenglong and Gong, Xinya. Inter-calibration of geostationary imager infrared bands using a hyperspectral sounder on the same platformGeophysical Research Letters, Volume: 50, Issue: 3, 2023, e2022GL101628. Reprint # 8921. 
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1395. Di, Di; Min, Min; Li, Jun and Gunshor, Mathew M.. The radiance differences between wavelength and wavenumber spaces in convolving hyperspectral infrared sounder spectrum to broadband for intercomparisonRemote Sensing, Volume: 11, Issue: 10, 2019. Reprint # 8440. 
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1396. Di, Di; Xue, Yunheng; Li, Jun; Bai, Wenguang and Zhang, Peng. Effects of CO(2) changes on hyperspectral infrared radiances and its implications on atmospheric temperature profile retrieval and data assimilation in NWPRemote Sensing, Volume: 12, Issue: 5, 2020, pp.2401. Reprint # 8570. 
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1397. Diak, George. Comments on 'Algorithms for extracting information from remote thermal-IR observations of the Earth's surface'Remote Sensing of Environment, Volume: 54, Issue: 2, 1995, pp.168. Reprint # 2079. 

1398. Diak, George. Assimilation of scalar versus horizontal gradient information from the VAS into a mesoscale modelJournal of Climate and Applied Meteorology, Volume: 26, Issue: 6, 1987, pp.738-748. Reprint # 1355. 
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1399. Diak, George. Models for the determination of soil and plant moisture parameters using remotely sensed surface temperature data. Madison, WI, University of Wisconsin-Madison, Space Science and Engineering Center, 1978, pp.58-73. Call Number: UW SSEC Publication No.78.06.S1. 
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1400. Diak, George and Mills, Graham. CIMSS data assimilation systemCIMSS View, Volume: 2, Issue: 2, 1986, pp.1-3. Reprint # 3914.