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Development Fund of IDM","award":["2022TSYCLJ0003"],"award-info":[{"award-number":["2022TSYCLJ0003"]}]},{"name":"S&amp;T Development Fund of IDM","award":["42305080"],"award-info":[{"award-number":["42305080"]}]},{"name":"S&amp;T Development Fund of IDM","award":["2023B03019-1"],"award-info":[{"award-number":["2023B03019-1"]}]},{"name":"S&amp;T Development Fund of IDM","award":["2022D01B227"],"award-info":[{"award-number":["2022D01B227"]}]},{"name":"S&amp;T Development Fund of IDM","award":["KJFZ202401"],"award-info":[{"award-number":["KJFZ202401"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>In order to deepen the knowledge of the seasonal variation in total cloud cover (TCC) in Xinjiang, China (XJ), a typical arid region, and to broaden the understanding of the seasonal variation in cloud type (CLT) in the region, we used TCC and CLT datasets from the latest generation of the geostationary satellite Fengyun 4A (FY-4A) from 2018 to 2022 to investigate the seasonal variation characteristics of TCC and CLT in XJ. Meanwhile, to verify the accuracy of TCC from FY-4A, ground observation (GROB) TCC datasets from 105 national meteorological stations (NMSs) in XJ and TCC datasets from ERA5 during the same period were used. In addition, the correlation between TCC from FY-4A and meteorological factors from ERA5 was also analyzed in this study. The TCC from FY-4A, GROB, and ERA5 can all well reflect the significant seasonal variation in TCC in XJ, with the highest (lowest) mean TCC and a distribution pattern of high in the southwest (northwest) and low in the northeast (southeast) in spring (fall) in XJ. Although the mean TCC from FY-4A in all four seasons was lower than that from GROB, the two were comparable in spring (44.09% and 47.32%) and summer (42.88% and 43.17%), while there was a significant difference between the two in fall (27.86% and 40.19%) and winter (30.58% and 46.93%) for 105 NMSs in XJ. The TCC from FY-4A was lower (higher) than that from GROB in spring and summer at most NMSs in northern (southern) XJ, while the TCC from FY-4A was lower than that from GROB for the vast majority of NMSs in fall and winter, especially in northern XJ. The seasonal variation in the spatial distribution of different CLTs (clear, water-type, supercooled-type, mixed-type, ice-type, cirrus-type, and overlap-type) from FY-4A exhibited diverse variation characteristics. Water-type (supercooled-water-type) had a high-frequency center of over 30% in the Tarim Basin (Kunlun Mountains) during summer. Mixed-type (ice-type and cirrus-type) had the highest frequency in winter (spring), while overlap-type had the highest frequency in summer. The correlation between TCC and water vapor conditions (total column vertically integrated water vapor, specific humidity at 250 hPa, 500 hPa, and 700 hPa) was positive in XJ.<\/jats:p>","DOI":"10.3390\/rs16152803","type":"journal-article","created":{"date-parts":[[2024,7,31]],"date-time":"2024-07-31T10:34:43Z","timestamp":1722422083000},"page":"2803","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Seasonal Variation in Total Cloud Cover and Cloud Type Characteristics in Xinjiang, China Based on FY-4A"],"prefix":"10.3390","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2789-3040","authenticated-orcid":false,"given":"Yong","family":"Zeng","sequence":"first","affiliation":[{"name":"Institute of Desert Meteorology, China Meteorological Administration, Urumqi 830002, China"},{"name":"Xinjiang Innovation Institute of Cloud Water Resource Development and Utilization, Urumqi 830002, China"},{"name":"Xinjiang Cloud Precipitation Physics and Cloud Water Resources Development Laboratory, Urumqi 830002, China"},{"name":"Field Scientific Observation Base of Cloud Precipitation Physics in West Tianshan Mountains, Xinyuan 844900, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0906-1526","authenticated-orcid":false,"given":"Lianmei","family":"Yang","sequence":"additional","affiliation":[{"name":"Institute of Desert Meteorology, China Meteorological Administration, Urumqi 830002, China"},{"name":"Xinjiang Innovation Institute of Cloud Water Resource Development and Utilization, Urumqi 830002, China"},{"name":"Xinjiang Cloud Precipitation Physics and Cloud Water Resources Development Laboratory, Urumqi 830002, China"},{"name":"Field Scientific Observation Base of Cloud Precipitation Physics in West Tianshan Mountains, Xinyuan 844900, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zepeng","family":"Tong","sequence":"additional","affiliation":[{"name":"Institute of Desert Meteorology, China Meteorological Administration, Urumqi 830002, China"},{"name":"Xinjiang Innovation Institute of Cloud Water Resource Development and Utilization, Urumqi 830002, China"},{"name":"Xinjiang Cloud Precipitation Physics and Cloud Water Resources Development Laboratory, Urumqi 830002, China"},{"name":"Field Scientific Observation Base of Cloud Precipitation Physics in West Tianshan Mountains, Xinyuan 844900, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yufei","family":"Jiang","sequence":"additional","affiliation":[{"name":"Institute of Desert Meteorology, China Meteorological Administration, Urumqi 830002, China"},{"name":"Xinjiang Innovation Institute of Cloud Water Resource Development and Utilization, Urumqi 830002, China"},{"name":"Xinjiang Cloud Precipitation Physics and Cloud Water Resources Development Laboratory, Urumqi 830002, China"},{"name":"Field Scientific Observation Base of Cloud Precipitation Physics in West Tianshan Mountains, Xinyuan 844900, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8382-8983","authenticated-orcid":false,"given":"Yushu","family":"Zhou","sequence":"additional","affiliation":[{"name":"Laboratory of Cloud-Precipitation Physics and Severe Storms, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China"},{"name":"College of Earth Science, University of Chinese Academy of Sciences, Beijing 100049, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5874-3163","authenticated-orcid":false,"given":"Xinyu","family":"Lu","sequence":"additional","affiliation":[{"name":"Institute of Desert Meteorology, China Meteorological Administration, Urumqi 830002, China"},{"name":"Xinjiang Innovation Institute of Cloud Water Resource Development and Utilization, Urumqi 830002, China"},{"name":"Xinjiang Cloud Precipitation Physics and Cloud Water Resources Development Laboratory, Urumqi 830002, China"},{"name":"Field Scientific Observation Base of Cloud Precipitation Physics in West Tianshan Mountains, Xinyuan 844900, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8302-6083","authenticated-orcid":false,"given":"Abuduwaili","family":"Abulikemu","sequence":"additional","affiliation":[{"name":"Xinjiang Key Laboratory of Oasis Ecology, College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830017, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiangang","family":"Li","sequence":"additional","affiliation":[{"name":"Institute of Desert Meteorology, China Meteorological Administration, Urumqi 830002, China"},{"name":"Xinjiang Innovation Institute of Cloud Water Resource Development and Utilization, Urumqi 830002, China"},{"name":"Xinjiang Cloud Precipitation Physics and Cloud Water Resources Development Laboratory, Urumqi 830002, China"},{"name":"Field Scientific Observation Base of Cloud Precipitation Physics in West Tianshan Mountains, Xinyuan 844900, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,7,31]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"871","DOI":"10.1038\/ngeo2828","article-title":"Impact of decadal cloud variations on the Earth\u2019s energy budget","volume":"9","author":"Zhou","year":"2016","journal-title":"Nat. Geosci."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"361","DOI":"10.1016\/j.agrformet.2009.12.004","article-title":"Diffuse radiation and cloud fraction relationships in two contrasting Amazonian rainforest sites","volume":"150","author":"Butt","year":"2010","journal-title":"Agric. For. Meteorol."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1029\/2010JD013817","article-title":"Why is longwave cloud feedback positive?","volume":"115","author":"Zelinka","year":"2010","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"2119","DOI":"10.1126\/science.1064034","article-title":"Aerosols, climate, and the hydrological cycle","volume":"294","author":"Ramanathan","year":"2001","journal-title":"Science"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"237","DOI":"10.1175\/JCLI-3243.1","article-title":"Cloud feedbacks in the climate system: A critical review","volume":"18","author":"Stephens","year":"2005","journal-title":"J. Clim."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1771","DOI":"10.1175\/BAMS-83-12-1771","article-title":"The cloudsat mission and the A-train\u2014A new dimension of space-based observations of clouds and precipitation","volume":"83","author":"Stephens","year":"2002","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"433","DOI":"10.1007\/s00382-015-2846-0","article-title":"Shallowness of tropical low clouds as a predictor of climate models\u2019 response to warming","volume":"47","author":"Brient","year":"2016","journal-title":"Clim. Dynam."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"9465","DOI":"10.1002\/2015GL066353","article-title":"Cloud regime evolution in the Indian monsoon intraseasonal oscillation: Connection to large-scale dynamical conditions and the atmospheric water budget","volume":"42","author":"Wang","year":"2015","journal-title":"Geophys. Res. Lett."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"7155","DOI":"10.5194\/acp-11-7155-2011","article-title":"Relationship between cloud radiative forcing, cloud fraction and cloud albedo, and new surface-based approach for determining cloud albedo","volume":"11","author":"Liu","year":"2011","journal-title":"Atmos. Chem. Phys."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"6038","DOI":"10.1002\/joc.8188","article-title":"Diurnal to interannual variability of low-level cloud cover over western equatorial Africa in May\u2013October","volume":"43","author":"Moron","year":"2023","journal-title":"Int. J. Climatol."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"5047","DOI":"10.1002\/joc.5143","article-title":"Comparative study of five current reanalyses in characterizing total cloud fraction and top-of-the-atmosphere cloud radiative effects over the Asian monsoon region","volume":"37","author":"Li","year":"2017","journal-title":"Int. J. Climatol."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"371","DOI":"10.1007\/s13351-014-3064-0","article-title":"Spatiotemporal variations of cloud amount over the Yangtze River Delta, China","volume":"28","author":"Zhao","year":"2014","journal-title":"J. Meteorol. Res."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"106477","DOI":"10.1016\/j.atmosres.2022.106477","article-title":"Variation and comparison of cloud cover in MODIS and four reanalysis datasets of ERA-interim, ERA5, MERRA-2 and NCEP","volume":"281","author":"Wu","year":"2023","journal-title":"Atmos. Res."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"106028","DOI":"10.1016\/j.atmosres.2022.106028","article-title":"Long-term variability of cloud cover in Poland (1971\u20132020)","volume":"268","author":"Matuszko","year":"2022","journal-title":"Atmos. Res."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"106992","DOI":"10.1016\/j.atmosres.2023.106992","article-title":"Long-term changes in the diurnal cycle of total cloud cover over the Tibetan Plateau","volume":"295","author":"Deng","year":"2023","journal-title":"Atmos. Res."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"4373","DOI":"10.1175\/JCLI-D-14-00805.1","article-title":"Variability and trends in US cloud cover: ISCCP, PATMOS-x, and CLARA-A1 compared to homogeneity-adjusted weather observations","volume":"28","author":"Sun","year":"2015","journal-title":"J. Clim."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"2015","DOI":"10.1175\/JCLI-D-15-0637.1","article-title":"Comparison between total cloud cover in four reanalysis products and cloud measured by visual observations at US weather stations","volume":"29","author":"Free","year":"2016","journal-title":"J. Clim."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"2941","DOI":"10.1007\/s00382-020-05149-x","article-title":"Cloud cover over the Tibetan Plateau and eastern China: A comparison of ERA5 and ERA-Interim with satellite observations","volume":"54","author":"Lei","year":"2020","journal-title":"Clim. Dynam."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"9585","DOI":"10.1175\/JCLI-D-17-0082.1","article-title":"The June\u2013September low cloud cover in western central Africa: Mean spatial distribution and diurnal evolution, and associated atmospheric dynamics","volume":"31","author":"Dommo","year":"2018","journal-title":"J. Clim."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"532","DOI":"10.1002\/joc.5826","article-title":"Spatiotemporal distributions of cloud parameters and their response to meteorological factors over the Tibetan Plateau during 2003\u20132015 based on MODIS data","volume":"39","author":"Bao","year":"2019","journal-title":"Int. J. Climatol."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1175\/JCLI-D-15-0088.1","article-title":"An assessment of diurnal and seasonal cloud cover changes over the Hawaiian Islands using Terra and Aqua MODIS","volume":"29","author":"Barnes","year":"2016","journal-title":"J. Clim."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"963","DOI":"10.1007\/s00704-020-03131-5","article-title":"Seasonal and annual segregation of liquid water and ice clouds in Iran and their relation to geographic components and precipitation","volume":"140","author":"Ahmadi","year":"2020","journal-title":"Theor. Appl. Climatol."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"106625","DOI":"10.1016\/j.atmosres.2023.106625","article-title":"Variability and trends of the total cloud cover over Italy (1951\u20132018)","volume":"285","author":"Manara","year":"2023","journal-title":"Atmos. Res."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"35458","DOI":"10.1038\/srep35458","article-title":"Changes in Central Asia\u2019s Water Tower: Past, present and future","volume":"6","author":"Chen","year":"2016","journal-title":"Sci. Rep."},{"key":"ref_25","unstructured":"Zhang, J.B., and Deng, Z.F. (1987). A Generality of Rainfall in Xinjiang, Meteorological Press. (In Chinese)."},{"key":"ref_26","first-page":"188","article-title":"Some advances and problems in the study of heavy rain in Xinjiang","volume":"16","author":"Yang","year":"2011","journal-title":"Clim. Environ. Res."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"8828060","DOI":"10.1155\/2020\/8828060","article-title":"Triggering mechanism of an extreme rainstorm process near the Tianshan Mountains in Xinjiang, an arid region in China, based on a numerical simulation","volume":"2020","author":"Zeng","year":"2020","journal-title":"Adv. Meteorol."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"106459","DOI":"10.1016\/j.atmosres.2022.106459","article-title":"Microphysical characteristics of seasonal rainfall observed by a Parsivel disdrometer in the Tianshan Mountains, China","volume":"280","author":"Zeng","year":"2022","journal-title":"Atmos. Res."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"855","DOI":"10.2151\/jmsj.2022-044","article-title":"Statistical characteristics of summer season raindrop size distribution in the western and central Tianshan Mountains in China","volume":"100","author":"Zeng","year":"2022","journal-title":"J. Meteor. Soc. Jpn."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"106332","DOI":"10.1016\/j.atmosres.2022.106332","article-title":"Characteristics of orographic raindrop size distribution in the Tianshan Mountains, China","volume":"278","author":"Zeng","year":"2022","journal-title":"Atmos. Res."},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Zeng, Y., Yang, L., Tong, Z., Jiang, Y., Chen, P., and Zhou, Y. (2022). Characteristics and applications of summer season raindrop size distributions based on a PARSIVEL2 disdrometer in the western Tianshan Mountains (China). Remote Sens., 14.","DOI":"10.3390\/rs14163988"},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Zeng, Y., Li, J., Yang, L., Li, H., Li, X., Tong, Z., Jiang, Y., Liu, J., Zhang, J., and Zhou, Y. (2023). Microphysical characteristics of raindrop size distribution and implications for dual-polarization radar quantitative precipitation estimations in the Tianshan Mountains, China. Remote Sens., 15.","DOI":"10.3390\/rs15102668"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"107024","DOI":"10.1016\/j.atmosres.2023.107024","article-title":"Seasonal variation of microphysical characteristics for different rainfall types in the Tianshan Mountains of China","volume":"295","author":"Zeng","year":"2023","journal-title":"Atmos. Res."},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Zeng, Y., Yang, L., Zhang, Z., Tong, Z., Li, J., Liu, F., Zhang, J., and Jiang, Y. (2020). Characteristics of clouds and raindrop size distribution in Xinjiang, using cloud radar datasets and a disdrometer. Atmosphere, 11.","DOI":"10.3390\/atmos11121382"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1007\/s00703-022-00914-5","article-title":"Macro-and microphysical characteristics of snowfall and non-snowfall clouds in the West Tianshan Mountains of China based on cloud radar","volume":"134","author":"Zhang","year":"2022","journal-title":"Meteorol. Atmos. Phys."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"L2270","DOI":"10.1029\/2006GL027946","article-title":"Change of cloud amount and the climate warming on the Tibetan Plateau","volume":"33","author":"Duan","year":"2006","journal-title":"Geophys. Res. Lett."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"4959","DOI":"10.1175\/JCLI-D-13-00722.1","article-title":"Trends in US total cloud cover from a homogeneity-adjusted dataset","volume":"27","author":"Free","year":"2014","journal-title":"J. Clim."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"708","DOI":"10.1007\/s13351-017-6161-z","article-title":"Developing the science product algorithm testbed for Chinese next-generation geostationary meteorological satellites: Fengyun-4 series","volume":"31","author":"Min","year":"2017","journal-title":"J. Meteorol. Res."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"8827","DOI":"10.1109\/TGRS.2019.2923247","article-title":"Intercomparisons of cloud mask products among fengyun-4a, himawari-8, and modis","volume":"57","author":"Wang","year":"2019","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Xu, W., and Lyu, D. (2021). Evaluation of cloud mask and cloud top height from Fengyun-4A with MODIS cloud retrievals over the Tibetan Plateau. Remote Sens., 13.","DOI":"10.3390\/rs13081418"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"1637","DOI":"10.1175\/BAMS-D-16-0065.1","article-title":"Introducing the new generation of Chinese geostationary weather satellites, Fengyun-4","volume":"98","author":"Yang","year":"2017","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"681","DOI":"10.1175\/BAMS-D-15-00230.1","article-title":"A closer look at the abi on the goes-r series","volume":"98","author":"Schmit","year":"2017","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"151","DOI":"10.2151\/jmsj.2016-009","article-title":"An introduction to himawari-8\/9-japan\u2019s new-generation geostationary meteorological satellites","volume":"94","author":"Bessho","year":"2016","journal-title":"J. Meteorol. Soc. Jpn."},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Lai, R., Teng, S., Yi, B., Letu, H., Min, M., Tang, S., and Liu, C. (2019). Comparison of cloud properties from Himawari-8 and FengYun-4A geostationary satellite radiometers with MODIS cloud retrievals. Remote Sens., 11.","DOI":"10.3390\/rs11141703"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"e2020GL088312","DOI":"10.1029\/2020GL088312","article-title":"Linkage between the vertical evolution of clouds and droplet growth modes as seen from FY-4A AGRI and GPM DPR","volume":"47","author":"Chen","year":"2020","journal-title":"Geophys. Res. Lett."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"106096","DOI":"10.1016\/j.atmosres.2022.106096","article-title":"Assessment and calibration of FY-4A AGRI total precipitable water products based on CMONOC","volume":"271","author":"Liu","year":"2022","journal-title":"Atmos. Res."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"107235","DOI":"10.1016\/j.atmosres.2024.107235","article-title":"Comprehensive evaluation of the precipitable water vapor products of Fengyun satellites via GNSS data over mainland China","volume":"300","author":"Zhou","year":"2024","journal-title":"Atmos. Res."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"e2023JD039063","DOI":"10.1029\/2023JD039063","article-title":"Impact of a new bias correction predictor for FY-4A AGRI all-sky data assimilation on typhoon forecast","volume":"128","author":"Shi","year":"2023","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_49","first-page":"396","article-title":"Comparative analysis of application effects of three cloud parameters of FY-4A in a rainstorm case","volume":"41","author":"Wang","year":"2022","journal-title":"Torrential Rain Disasters"},{"key":"ref_50","first-page":"863","article-title":"Characteristics of MCC from convective initiation to mature stage over the Sichuan basin based on FY-4A satellite data","volume":"45","author":"Zhang","year":"2021","journal-title":"Chin. J. Atmos. Sci."},{"key":"ref_51","first-page":"196","article-title":"Comparisons of cloud top parameter of FY-4A satellite and its typhoon application research","volume":"39","author":"Cui","year":"2020","journal-title":"Plateau Meteorol."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"351","DOI":"10.1016\/j.quascirev.2007.10.017","article-title":"Holocene moisture evolution in arid central Asia and its out-of-phase relationship with Asian monsoon history","volume":"27","author":"Chen","year":"2008","journal-title":"Quat. Sci. Rev."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"3579","DOI":"10.1175\/JCLI-D-14-00395.1","article-title":"Physical mechanisms of summer precipitation variations in the Tarim Basin in northwestern China","volume":"28","author":"Huang","year":"2015","journal-title":"J. Clim."},{"key":"ref_54","first-page":"D12202","article-title":"Observationally based evaluation of NWP reanalyses in modeling cloud properties over the Southern Great Plains","volume":"117","author":"Wu","year":"2012","journal-title":"J. Geophys. Res."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"3438","DOI":"10.1002\/2013JD019813","article-title":"A comparison of multiscale variations of decade-long cloud fractions from six different platforms over the Southern Great Plains in the United States","volume":"119","author":"Wu","year":"2014","journal-title":"J. Geophys. Res. Atmos."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/15\/2803\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T15:27:07Z","timestamp":1760110027000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/15\/2803"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,31]]},"references-count":55,"journal-issue":{"issue":"15","published-online":{"date-parts":[[2024,8]]}},"alternative-id":["rs16152803"],"URL":"https:\/\/doi.org\/10.3390\/rs16152803","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,7,31]]}}}