| Publication Citation |
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| Jin, Z., et al. (2016), An Initial Study on Climate Change Fingerprinting Using the Reflected Solar Spectra, J. Climate, 28, doi:10.1175/JCLI-D-15-0297.1. |
| Jin, Z., et al. (2017), Errors in spectral fingerprints and their effects on climate fingerprinting accuracy in the solar spectrum, J. Quant. Spectrosc. Radiat. Transfer, 188, doi:10.1016/j.jqsrt.2016.06.029 . |
| Johnson, D. G., and M. Mlynczak (2011), Science, Measurement, and Technology Requirements for Infrared Climate Benchmark Missions, OSA Technical Digest. |
| Kahn, B., et al. (2016), ENSO regulation of far- and mid-infrared contributions to clear-sky OLR, Geophys. Res. Lett., 43, 8751-8759, doi:10.1002/2016gl070263. |
| Kato, S., et al. (2011), Detection of Atmospheric Changes in Spatially and Temporally Averaged Infrared Spectra Observed from Space, J. Climate, 24, 6392-6407, doi:10.1175/JCLI-D-10-05005.1. |
| Kato, S., et al. (2014), Retrieval of Atmospheric and Cloud Property Anomalies and Their Trend from Temporally and Spatially Averaged Infrared Spectra Observed from Space, J. of Climate, 27, 4403-4420, doi:10.1175/JCLI-D-13-00566.1. |
| Khlopenkov, K., et al. (2014), MTSAT-1R Visible Imager Point Spread Function Correction, Part II, IEEE Trans. Geosci. Remote Sens., 53, 1504-1512, doi:10.1109/TGRS.2014.2344627. |
| Kindel, B. C., et al. (2016), Upper-troposphere and lower-stratosphere water vapor retrievals from the 1400 and 1900 nm water vapor bands, Atmos. Meas. Tech., 8, 1147-1156, doi:10.5194/amt-8-1147-2015. |
| Kopp, G., et al. (2017), Radiometric flight results from the HyperSpectral Imager for Climate Science (HySICS), Geosci. Instrum. Method. Data Syst., 6, 169-191, doi:10.5194/gi-6-169-2017. |
| Laszlo, I. (2018), 7.06 - Remote Sensing of Tropospheric Aerosol Optical Depth From Multispectral Monodirectional Space-Based Observations , Comprehensive Remote Sensing, 137, 137-196, doi:10.1016/B978-0-12-409548-9.10389-6. |
| Latvakiski, H. M., et al. (2013), Far-Infrared Spectroscopy of the Troposphere (FIRST) - Instrument description and calibration performance, Appl. Opt., 52, 264-273, doi:175801. |
| Latvakoski, H. M., et al. (2010), Accurate blackbodies, Proc. of SPIE, 7739, doi:10.1117/12.857171. |
| Latvakoski, H., et al. (2010), A high-accuracy blackbody for CLARREO , Proc. of SPIE, 7808, doi:10.1117/12.859477. |
| Latvakoski, H., et al. (2011), Testing of Highly Accurate Blackbodies, Infrared Remote Sensing and Instrumentation Xix, 8154, doi:10.1117/12.895985. |
| Latvakoski, H., et al. (2014), Far-infrared spectroscopy of the troposphere: Calibration with a cold background, Appl. Opt., 53, 5425-5433, doi:10.1364/AO.53.005425. |
| LeBlanc, S. E., et al. (2015), A spectral method for discriminating thermodynamic phase and retrieving cloud optical thickness and effective radius using transmitted solar radiance spectra, Atmos. Meas. Tech., 8, 1361-1383, doi:10.5194/amt-8-1361-2015. |
| Leckey, J. (2016), ABSOLUTE STANDARDS FOR CLIMATE MEASUREMENTS, Xxiii Isprs Congress, Commission Viii, 41, 1407-1408, doi:10.5194/isprs-archives-XLI-B8-1407-2016. |
| Leckey, J. (2017), CLIMATE ABSOLUTE RADIANCE AND REFRACTIVITY OBSERVATORY (CLARREO), Remote Sensing of Environment, 47, 213-217, doi:10.5194/isprsarchives-XL-7-W3-213-2015. |