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  • 1
    Online Resource
    Online Resource
    American Geophysical Union (AGU) ; 2019
    In:  Journal of Geophysical Research: Atmospheres Vol. 124, No. 6 ( 2019-03-27), p. 3401-3416
    In: Journal of Geophysical Research: Atmospheres, American Geophysical Union (AGU), Vol. 124, No. 6 ( 2019-03-27), p. 3401-3416
    Abstract: A novel scheme for recovering the cloudy sky LST was proposed by accounting for the solar‐cloud‐satellite geometry effect The LSTs of shadowed and illuminated pixels covered by the clouds in the image can be well estimated for both MODIS and Landsat‐8 data The method is not data specific and has a reasonable accuracy; it provides some new ideas to the surface energy balance community
    Type of Medium: Online Resource
    ISSN: 2169-897X , 2169-8996
    Language: English
    Publisher: American Geophysical Union (AGU)
    Publication Date: 2019
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    SSG: 16,13
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  • 2
    In: Remote Sensing, MDPI AG, Vol. 9, No. 7 ( 2017-07-05), p. 690-
    Type of Medium: Online Resource
    ISSN: 2072-4292
    Language: English
    Publisher: MDPI AG
    Publication Date: 2017
    detail.hit.zdb_id: 2513863-7
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  • 3
    Online Resource
    Online Resource
    MDPI AG ; 2020
    In:  Remote Sensing Vol. 12, No. 9 ( 2020-05-09), p. 1508-
    In: Remote Sensing, MDPI AG, Vol. 12, No. 9 ( 2020-05-09), p. 1508-
    Abstract: Total precipitable water (TPW) is an important key factor in the global water cycle and climate change. The knowledge of TPW characteristics at spatial and temporal scales could help us to better understand our changing environment. Currently, many algorithms are available to retrieve TPW from optical and microwave sensors. There are still no available TPW data over land from FY-3D MWRI, which was launched by China in 2017. However, the TPW product over land is a key element for the retrieval of many ecological environment parameters. In this paper, an improved algorithm was developed to retrieve TPW over land from the brightness temperature of FY-3D MWRI. The major improvement is that surface emissivity, which is a key parameter in the retrieval of TPW in all-weather conditions, was developed and based on an improved algorithm according to the characteristics of FY-3D MWRI. The improvement includes two aspects, one is selection of appropriate ancillary data in estimating surface emissivity parameter Δε18.7/Δε23.8 in clear sky conditions, and the other is an improvement of the Δε18.7/Δε23.8 estimation function in cloudy conditions according to the band configuration of FY-3D MWRI. Finally, TPW retrieved was validated using TPW observation from the SuomiNet GPS and global distributed Radiosonde Observations (RAOB) networks. According to the validation, TPW retrieved using observations from FY-3D MWRI and ancillary data from Aqua MODIS had the best quality. The root mean square error (RMSE) and correlation coefficient between the retrieved TPW and observed TPW from RAOB were 5.47 and 0.94 mm, respectively.
    Type of Medium: Online Resource
    ISSN: 2072-4292
    Language: English
    Publisher: MDPI AG
    Publication Date: 2020
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  • 4
    In: Scientific Reports, Springer Science and Business Media LLC, Vol. 8, No. 1 ( 2018-01-18)
    Abstract: Analysis of cloud cover and its diurnal variation over the Tibetan Plateau (TP) is highly reliant on satellite data; however, the accuracy of cloud detection from both polar-orbiting and geostationary satellites over this area remains unclear. The new-generation geostationary Himawari-8 satellites provide high-resolution spatial and temporal information about clouds over the Tibetan Plateau. In this study, the cloud detection of MODIS and AHI is investigated and validated against CALIPSO measurements. For AHI and MODIS, the false alarm rate of AHI and MODIS in cloud identification over the TP was 7.51% and 1.94%, respectively, and the cloud hit rate was 73.55% and 80.15%, respectively. Using hourly cloud-cover data from the Himawari-8 satellites, we found that at the monthly scale, the diurnal cycle in cloud cover over the TP tends to increase throughout the day, with the minimum and maximum cloud fractions occurring at 10:00 a.m. and 18:00 p.m. local time. Due to the limited time resolution of polar-orbiting satellites, the underestimation of MODIS daytime average cloud cover is approximately 4.00% at the annual scale, with larger biases during the spring (5.40%) and winter (5.90%).
    Type of Medium: Online Resource
    ISSN: 2045-2322
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2018
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  • 5
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 82, No. 12_Supplement ( 2022-06-15), p. 5510-5510
    Abstract: Introduction Allogeneic Double Negative T (DNT, CD3+CD4-CD8-) cells have shown great potential as a novel off-the-shelf immunotherapy drug candidate in clinic trials for r/r/AML patients. This is our first report to demonstrate that CD19-CAR-DNT cells with high percentage of Tscm+Tcm phenotypes have been successfully developed with strong immunotherapeutic effects on Raji-luciferase tumor cells from non-Hodgkin’s lymphoma both in vitro and in vivo. Methods DNT cells were expanded ex vivo from healthy donors and then were transduced with CD19-CAR lentivirus in the presence of IL-2. The CD19-CAR-DNT cell expansions were performed under GMP condition and then harvested and cryo-preserved by CryStor®CS5 in liquid nitrogen for future use. Summary The ex vivo expanded CD19-CAR-DNT cells has more than 50% of Tscm and Tcm phenotypes. The viability and CAR+ percentage of CD19-CAR-DNT cells were 84.40% and 34.98% respectively. The killing of CD19-CAR-DNT cells on Raji-luciferase cells was 77.92% (n=6) at the effector to target ratio of 4:1. Elevated IFN-γ release from CD19-CAR-DNT cells after overnight co-culture with Raji cells was observed. The antitumor efficacy was evaluated in the xenografted NHL mice model. After the first infusion of the cells, the tumor growth inhibitory rates (TGI %) of CD19-CAR-DNT cells at 1×106, 5×106 and 1×107 per mouse on day14 were 80.54%, 98.31% and 99.05% respectively, the killing effects were in a dose-dependent manner. After the second infusion of the CD19-CAR-DNT cells at day 14, median survival times (MST) of the treated three groups mice were elongated till Day60, that is twice longer than that of the xenografted vehicle group. In the subsequent PKPD study, infusion CD19-CAR-DNT cells into Raji-luciferase cell xenografted mice were primarily distributed in lungs, peripheral blood, spleen, and bone marrow within 72h, homing back to liver and spleen on Day36. All animal body weights in both fresh and frozen reconstituted CD19-CAR-DNT cells treated mice were increased with no observed toxicities. Conclusions ex vivo expansion of CD19-CAR-DNT cells were successfully developed to explore its potential as a novel off-the-shelf universal CART drug for malignant B cells leukemia. The cell subsets consist of more than 50% of Tscm and Tcm cells whereas most immunological check point inhibitors were not elevated after priming by target tumor cells except a slight increase of PD-1 molecule. Fresh or frozen CD19-CAR-DNT cells can kill Raji cells in vitro and in vivo studies in a dose-dependent manner although the frozen one showed a delayed killing in vivo. The tumor cells were almost depleted and the MST was significantly increased with NOAEL at 1x107 cells/mouse. The amounts of CD19-CAR-DNT cells are re-distributed from early lungs, peripheral blood to live, spleen later. Citation Format: Liming Yang, Dan Wang, Shangzhi Xu, Liuyang Wang, Jianjun Tong, Honglin Zhu, Man Xu, Xiancai Li, Letu Ji, Chuntao Zheng, Zhiqiang Xiang, Qinghua Sun, Hengcai Wang. Preclinical study of allogeneic CD19-CAR-DNT cells as an off-the-shelf immunotherapy drug for NHL [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 5510.
    Type of Medium: Online Resource
    ISSN: 1538-7445
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2022
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  • 6
    In: International Journal of Climatology, Wiley, Vol. 39, No. 1 ( 2019-01), p. 532-543
    Abstract: The Tibetan Plateau (TP) has important influences on regional and global climate change. Here, we perform an in‐depth study of the relationship between cloud parameters and meteorological factors over the TP. The spatiotemporal variations in cloud cover and cloud optical thickness over the TP during the daytime from 2003 to 2015 are analysed using the Aqua‐MODIS level 2 atmospheric product data MYD06. Results show that the annual average cloud cover over the TP decreases from the southeast to the northwest. The cloud cover of the western TP is highest in spring and lowest in autumn, while the cloud cover of the eastern TP is higher in spring and summer. The cloud covers in most areas of the TP exceed 30% in spring and summer, and the cloud optical thickness in the southeastern TP exceeds 10 in summer, with substantial cloud cover and cloud optical thickness changes. Compared to other seasons, the cooling effect of the near surface cloud net radiative forcing is greater during daytime in summer, which is likely associated with thick cloud optical thickness or large cloud cover. The results of the analysis of relationships among cloud cover, water vapour and air temperature show that positive correlations exist between cloud cover and water vapour, and that significantly negative correlations exist between cloud cover and air temperature over the TP. Combined with the analysis of variation features in the cloud parameters and meteorological factors, we find that water vapour variations during the daytime over the TP lead to cloud cover changes, which affect the air temperature variations over the TP by the cooling effects of clouds, especially in summer.
    Type of Medium: Online Resource
    ISSN: 0899-8418 , 1097-0088
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2019
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    SSG: 14
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  • 7
    In: Atmospheric Measurement Techniques, Copernicus GmbH, Vol. 16, No. 2 ( 2023-01-24), p. 331-353
    Abstract: Abstract. Currently, terahertz remote sensing technology is one of the best ways to detect the microphysical properties of ice clouds. Influenced by the representativeness of the ice crystal scattering (ICS) model, the existing terahertz ice cloud remote sensing inversion algorithms still have significant uncertainties. In this study, based on the Voronoi ICS model, we developed a terahertz remote sensing inversion algorithm of the ice water path (IWP) and median mass diameter (Dme) of ice clouds. This study utilized the single-scattering properties (extinction efficiency, single-scattering albedo, and asymmetry factor) of the Voronoi, sphere, and hexagonal column ICS models in the terahertz region. Combined with 14 408 groups of particle size distributions obtained from aircraft-based measurements, we developed the Voronoi, sphere, and column ICS schemes based on the Voronoi, sphere, and column ICS models. The three schemes were applied to the radiative transfer model to carry out the sensitivity analysis of the top-of-cloud (TOC) terahertz brightness temperature differences between cloudy and clear skies (BTDs) on the IWP and Dme. The sensitivity results showed that the TOC BTDs between 640 and 874 GHz are functions of the IWP, and the TOC BTDs of 380, 640, and 874 GHz are functions of the Dme. The Voronoi ICS scheme possesses stronger sensitivity to the Dme than the sphere and column ICS schemes. Based on the sensitivity results, we built a multi-channel look-up table for BTDs. The IWP and Dme were searched from the look-up table using an optimal estimation algorithm. We used 2000 BTD test data randomly generated by the RSTAR model to assess the algorithm's accuracy. Test results showed that the correlation coefficients of the retrieved IWP and Dme reached 0.99 and 0.98, respectively. As an application, we used the inversion algorithm to retrieve the ice cloud IWP and Dme based on the Compact Scanning Submillimeter-wave Imaging Radiometer (CoSSIR) airborne terahertz radiation measurements. Validation against the retrievals of the Bayesian algorithm reveals that the Voronoi ICS model performs better than the sphere and hexagonal column ICS models, with enhancement of the mean absolute errors of 5.0 % and 12.8 % for IWP and Dme, respectively. In summary, the results of this study confirmed the practicality and effectiveness of the Voronoi ICS model in the terahertz remote sensing inversion of ice cloud microphysical properties.
    Type of Medium: Online Resource
    ISSN: 1867-8548
    Language: English
    Publisher: Copernicus GmbH
    Publication Date: 2023
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  • 8
    In: Remote Sensing of Environment, Elsevier BV, Vol. 205 ( 2018-02), p. 100-111
    Type of Medium: Online Resource
    ISSN: 0034-4257
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2018
    detail.hit.zdb_id: 1498713-2
    SSG: 11
    SSG: 14
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  • 9
    In: Science China Earth Sciences, Springer Science and Business Media LLC, Vol. 63, No. 6 ( 2020-06), p. 774-789
    Type of Medium: Online Resource
    ISSN: 1674-7313 , 1869-1897
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2020
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    SSG: 6,25
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  • 10
    Online Resource
    Online Resource
    MDPI AG ; 2017
    In:  Remote Sensing Vol. 9, No. 6 ( 2017-06-14), p. 606-
    In: Remote Sensing, MDPI AG, Vol. 9, No. 6 ( 2017-06-14), p. 606-
    Type of Medium: Online Resource
    ISSN: 2072-4292
    Language: English
    Publisher: MDPI AG
    Publication Date: 2017
    detail.hit.zdb_id: 2513863-7
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